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"4171071eb30dcb412dd4967de4160123.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0090" + }, + { + "input": { + "pc_file": "80ef50d3e67bfa8783ca982ecb7c4900.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0032" + }, + { + "input": { + "pc_file": "3e662f9afbe62838f0f8b2d752b1c7a1.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0180" + }, + { + "input": { + "pc_file": "9c0ed8415a0a9e5c49b1e464b71de577.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0245" + }, + { + "input": { + "pc_file": "c7f31b9900a1a7644785ad2feb797e.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0211" + }, + { + "input": { + "pc_file": "3db18530ff6bbb50f130e9cdbbb1cf40.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0170" + }, + { + "input": { + "pc_file": "62d40988172e8c685ff61a3a2a0e2484.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0192" + }, + { + "input": { + "pc_file": "6f87c833355679ef36b0f2a1430e993a.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0128" + }, + { + "input": { + "pc_file": "ffe4383cff6d000a3628187d1bb97b92.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0159" + }, + { + "input": { + "pc_file": "548ab6b6e8b2dc505ff61a3a2a0e2484.ply", + "prompt": "complete the partial point cloud" + }, + "output": { + "pc_file": "" + }, + "id": "pcc0291" + } + ], + "others": {} +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/rgbd_to_mesh/scannet/annotation_v1.json b/Scope-A/S-A-Quick/3D/generation/rgbd_to_mesh/scannet/annotation_v1.json new file mode 100644 index 0000000000000000000000000000000000000000..6d8e0d6a50fdc7cd6960dcaf8592c8de0e8f65a0 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/rgbd_to_mesh/scannet/annotation_v1.json @@ -0,0 +1,127 @@ +{ + "task": "rgbd_to_mesh", + "data_source": "scannet", + "type": "generation", + "modality": { + "in": [ + "rgbd" + ], + "out": [ + "mesh" + ] + }, + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0208_00.sens", + "question": "generate the mesh for the scene scene0208_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0072" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0343_00.sens", + "question": "generate the mesh for the scene scene0343_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0084" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0550_00.sens", + "question": "generate the mesh for the scene scene0550_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0027" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0690_00.sens", + "question": "generate the mesh for the scene scene0690_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0077" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0490_00.sens", + "question": "generate the mesh for the scene scene0490_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0038" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0131_00.sens", + "question": "generate the mesh for the scene scene0131_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0012" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0695_00.sens", + "question": "generate the mesh for the scene scene0695_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0042" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0355_00.sens", + "question": "generate the mesh for the scene scene0355_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0065" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0251_00.sens", + "question": "generate the mesh for the scene scene0251_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0018" + }, + { + "input": { + "rgbd": "generation/rgbd_to_mesh/scannet/rgbd/scene0671_00.sens", + "question": "generate the mesh for the scene scene0671_00", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": { + "answer": "" + }, + "id": "0036" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/culture_and_structure_closeset.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/culture_and_structure_closeset.json new file mode 100644 index 0000000000000000000000000000000000000000..b0ea5d97fca1a84c3ecfdd5acb65e8b0c1c06aa5 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/culture_and_structure_closeset.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a glass windshield", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0282" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a fluffy bike streamer", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0304" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a pyramidal artifact", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0237" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a delivery person sorting packages in a van", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0464" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a tall spear", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0162" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a rustic chalice", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0014" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a white caravan", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0114" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a meteorologist launching a weather balloon", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0490" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a sailor holding a compass", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0399" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a silver necklace", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0008" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/living_and_art_closeset.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/living_and_art_closeset.json new file mode 100644 index 0000000000000000000000000000000000000000..382967736018eee35734b40ef816edad080fbc4f --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/living_and_art_closeset.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a leather armchair", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0254" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a pyramidal pastry", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0218" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a conical abstract lamp", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0182" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a mug sitting on a coaster", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0386" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a floor lamp standing beside a sofa", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0460" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a plastic geometric pattern", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0287" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a metallic table", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0252" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a plastic decorative model", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0297" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a fabric lampshade", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0354" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a crescent headboard", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0166" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/nature_and_biology_closeset.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/nature_and_biology_closeset.json new file mode 100644 index 0000000000000000000000000000000000000000..a6252bf8728ad5e7e1ec33ee57e015fab524b4d6 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/nature_and_biology_closeset.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a wooden starfish", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0344" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a pyramidal flower arrangement", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0156" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a moss-covered garden statue", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0096" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a tree branch cradles a nest.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0498" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a blush pink vase", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0114" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a metallic palm frond", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0288" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a rectangular log slice", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0176" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a crescent-shaped fern tip", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0180" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a teardrop-shaped jellyfish", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0204" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a glass stingray", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0351" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/science_and_technology_closeset.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/science_and_technology_closeset.json new file mode 100644 index 0000000000000000000000000000000000000000..5a26e4ec213dbb6f541455e0df55f41ce2fb28d6 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_mesh_gen/science_and_technology_closeset.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a drone carrying a sensor device.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0440" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a glossy camera", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0031" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a cubic storage device", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0200" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a conical testing probe", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0175" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a leather smartwatch band", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0320" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a wooden satellite", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0254" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a spherical gyroscope unit", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0189" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a fluffy keyboard cleaner", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0362" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a transparent tablet", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0005" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D mesh: ", + "test_prompt": "a futuristic lamp", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0080" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/culture_and_structure.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/culture_and_structure.json new file mode 100644 index 0000000000000000000000000000000000000000..1a9ac30f27317339fccbac4bb9b57a0fdee8cd01 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/culture_and_structure.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a mason repairing a stone wall of an ancient fortress", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0452" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a golden dagger", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0045" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a painted amphora", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0062" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a plastic historical figurine", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0332" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a wooden scepter", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0334" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a researcher writing notes on a clipboard", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0500" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a glass periscope", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0314" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a scooter rider wearing a bright helmet", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0435" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rubber railway sleeper", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0291" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a spherical globe", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0242" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/living_and_art.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/living_and_art.json new file mode 100644 index 0000000000000000000000000000000000000000..d74a7c668702f0566d0b7d718892ec9f927fa114 --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/living_and_art.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a pyramidal sculpture", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0137" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a vintage coffee table", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0003" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a plastic mirror frame", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0266" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rubber coatrack", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0274" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a geometric bar tray", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0102" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a pentagonal mirror", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0133" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rectangular digital print", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0196" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a vintage wine glass", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0085" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a fabric floor lamp shade", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0360" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rubber table lamp base", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0358" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/nature_and_biology.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/nature_and_biology.json new file mode 100644 index 0000000000000000000000000000000000000000..4d931fadcbc7628d6c52485621cd1751168dd97a --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/nature_and_biology.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a minimalist plant stand", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0063" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a teardrop leaf tip", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0160" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a leather vine leaf", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0298" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rubber stem", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0276" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a pentagonal flower cluster", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0140" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a coral starfish ornament", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0055" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a bat hangs upside down.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0437" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a silver fishbowl", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0008" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a metallic fox", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0309" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a hedgehog rolls into a ball.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0460" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/science_and_technology.json b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/science_and_technology.json new file mode 100644 index 0000000000000000000000000000000000000000..919684ebaaa588ce0868248029b31768df96411b --- /dev/null +++ b/Scope-A/S-A-Quick/3D/generation/text_2_3d_pointcloud_gen/science_and_technology.json @@ -0,0 +1,107 @@ +{ + "task": "3d generation", + "data_source": "self-construct", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a researcher standing on a balance platform.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0460" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a copper-wired controller", + "attribute": "color" + }, + "output": {}, + "id": "3dgen0109" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a drone taking aerial footage of a city.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0481" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a crescent-shaped led light bar", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0160" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a cubic computer tower", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0164" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a pentagonal light sensor", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0230" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a round ai interface", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0239" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a plastic audio mixer", + "attribute": "texture" + }, + "output": {}, + "id": "3dgen0325" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a robot dog playing with a ball.", + "attribute": "interaction" + }, + "output": {}, + "id": "3dgen0458" + }, + { + "input": { + "system_prompt": "Generate the corresponding 3D point cloud: ", + "test_prompt": "a rectangular thermal camera", + "attribute": "shape" + }, + "output": {}, + "id": "3dgen0228" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/AccentClassification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/AccentClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7a442c51efce5556c1742dbdc02d90b852bf91ef --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/AccentClassification/annotation.json @@ -0,0 +1,256 @@ +{ + "set_type": "closeset", + "task": "accent classification", + "data_source": "Speech Accent Archive", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "ac_184", + "input": { + "audio_file": "turkish7.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_364", + "input": { + "audio_file": "english483.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_281", + "input": { + "audio_file": "english141.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_310", + "input": { + "audio_file": "english223.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_150", + "input": { + "audio_file": "english574.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_185", + "input": { + "audio_file": "english478.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_009", + "input": { + "audio_file": "polish19.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_323", + "input": { + "audio_file": "english399.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_255", + "input": { + "audio_file": "english378.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_039", + "input": { + "audio_file": "english9.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_036", + "input": { + "audio_file": "korean20.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_487", + "input": { + "audio_file": "english203.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_491", + "input": { + "audio_file": "mandarin64.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_137", + "input": { + "audio_file": "english11.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_489", + "input": { + "audio_file": "turkish27.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_068", + "input": { + "audio_file": "urdu9.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_284", + "input": { + "audio_file": "mandarin39.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_381", + "input": { + "audio_file": "english292.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_331", + "input": { + "audio_file": "english67.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_015", + "input": { + "audio_file": "english512.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_075", + "input": { + "audio_file": "english265.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_209", + "input": { + "audio_file": "vlaams3.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_031", + "input": { + "audio_file": "english572.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_416", + "input": { + "audio_file": "teochew1.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_175", + "input": { + "audio_file": "english210.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_077", + "input": { + "audio_file": "korean10.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_090", + "input": { + "audio_file": "mandarin3.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_116", + "input": { + "audio_file": "french33.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_239", + "input": { + "audio_file": "korean50.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + }, + { + "id": "ac_143", + "input": { + "audio_file": "english281.mp3", + "prompt": "what is the accent in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/AccentSexClassification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/AccentSexClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..91a1f88aff9b844faa652f1924c56e7e889e8d2c --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/AccentSexClassification/annotation.json @@ -0,0 +1,256 @@ +{ + "set_type": "closeset", + "task": "accent sex classification", + "data_source": "Speech Accent Archive", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "asc_485", + "input": { + "audio_file": "japanese14.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_494", + "input": { + "audio_file": "afrikaans2.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_331", + "input": { + "audio_file": "bulgarian15.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_104", + "input": { + "audio_file": "arabic48.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_250", + "input": { + "audio_file": "russian24.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_123", + "input": { + "audio_file": "norwegian6.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_208", + "input": { + "audio_file": "irish1.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_192", + "input": { + "audio_file": "spanish80.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_076", + "input": { + "audio_file": "korean12.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_097", + "input": { + "audio_file": "dari3.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_314", + "input": { + "audio_file": "hindi18.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_086", + "input": { + "audio_file": "english26.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_030", + "input": { + "audio_file": "english205.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_491", + "input": { + "audio_file": "english434.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_239", + "input": { + "audio_file": "portuguese9.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_158", + "input": { + "audio_file": "english199.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_478", + "input": { + "audio_file": "spanish25.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_431", + "input": { + "audio_file": "farsi11.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_271", + "input": { + "audio_file": "english550.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_341", + "input": { + "audio_file": "english382.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_462", + "input": { + "audio_file": "english42.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_384", + "input": { + "audio_file": "macedonian15.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_265", + "input": { + "audio_file": "korean43.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_347", + "input": { + "audio_file": "italian31.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_031", + "input": { + "audio_file": "arabic64.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_461", + "input": { + "audio_file": "arabic43.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_418", + "input": { + "audio_file": "kikongo1.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_057", + "input": { + "audio_file": "english207.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_036", + "input": { + "audio_file": "russian27.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + }, + { + "id": "asc_312", + "input": { + "audio_file": "kikuyu4.mp3", + "prompt": "what is the sex in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/AcousticSceneRecognition/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/AcousticSceneRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1f2629cf277ece08dc8b84a9e79c6a6d35a061ac --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/AcousticSceneRecognition/annotation.json @@ -0,0 +1,137 @@ +{ + "set_type": "closeset", + "task": "Acoustic Scene Classification", + "data_source": "TUT Acoustic Scenes 2017", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data_description": "The TUT Acoustic Scenes 2017 dataset is a dataset for acoustic scene classification. The dataset contains audio recordings of 15 different acoustic scenes. The scenes are divided into three categories: indoor, outdoor, and transportation.", + "data": [ + { + "id": "asc_00177", + "input": { + "audio_file": "a139_110_120.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00247", + "input": { + "audio_file": "a008_170_180.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00439", + "input": { + "audio_file": "a009_100_110.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00287", + "input": { + "audio_file": "a109_130_140.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00382", + "input": { + "audio_file": "b061_80_90.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00097", + "input": { + "audio_file": "a151_260_270.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00026", + "input": { + "audio_file": "a071_10_20.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00119", + "input": { + "audio_file": "b049_30_40.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00381", + "input": { + "audio_file": "b015_10_20.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00078", + "input": { + "audio_file": "a098_190_200.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00209", + "input": { + "audio_file": "b070_160_170.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00045", + "input": { + "audio_file": "b110_200_210.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00126", + "input": { + "audio_file": "b041_170_180.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00427", + "input": { + "audio_file": "a057_100_110.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + }, + { + "id": "asc_00304", + "input": { + "audio_file": "b050_140_150.wav", + "prompt": "what is the scene in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/AnimalSoundDetection/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/AnimalSoundDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3adc890cc4ffd0bb54215e95843e32f8c6ac0513 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/AnimalSoundDetection/annotation.json @@ -0,0 +1,177 @@ +{ + "set_type": "closeset", + "task": "animal sound detection", + "data_source": "Animal Sound Detection challenge", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "description": "The dataset contains audio recordings of 10 different animals, including cat, dog, bird, cow, lion, sheep, frog, chicken, donkey, monkey. The task is to detect what an animal sound is in the audio.", + "data": [ + { + "id": "asd_297", + "input": { + "audio_file": "Kedi-Part2/cat_158.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_234", + "input": { + "audio_file": "Inek/inek_17.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_451", + "input": { + "audio_file": "Kus-Part2/Kus_197.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_261", + "input": { + "audio_file": "Kus-Part1/Kus_40.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_114", + "input": { + "audio_file": "Kedi-Part2/cat_123.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_442", + "input": { + "audio_file": "Tavuk/tavuk_11.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_097", + "input": { + "audio_file": "Kopek-Part1/dog_83.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_394", + "input": { + "audio_file": "Kus-Part1/Kus_29.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_477", + "input": { + "audio_file": "Inek/inek_52.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_431", + "input": { + "audio_file": "Kopek-Part2/dog_148.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_244", + "input": { + "audio_file": "Kopek-Part2/dog_191.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_108", + "input": { + "audio_file": "Kopek-Part1/dog_85.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_016", + "input": { + "audio_file": "Aslan/aslan_43.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_015", + "input": { + "audio_file": "Inek/inek_2.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_320", + "input": { + "audio_file": "Kus-Part1/Kus_78.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_417", + "input": { + "audio_file": "Kedi-Part1/cat_51.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_437", + "input": { + "audio_file": "Kopek-Part1/dog_55.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_249", + "input": { + "audio_file": "Aslan/aslan_8.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_322", + "input": { + "audio_file": "Maymun/maymun_15.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + }, + { + "id": "asd_147", + "input": { + "audio_file": "Kurbaga/kurbaga_32.wav", + "prompt": "what is the animal sound in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/AudioQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/AudioQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..cd78a6051d77eaa61394698759d7ee85a3c48d11 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/AudioQuestionAnswering/annotation.json @@ -0,0 +1,256 @@ +{ + "set_type": "closeset", + "task": "audio question answering", + "data_source": "Clotho-AQA", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "aqa_312", + "input": { + "audio_file": "chrrrckkkcc.wav", + "prompt": "Can impact noises be heard ?" + }, + "output": {} + }, + { + "id": "aqa_382", + "input": { + "audio_file": "cowshed.wav", + "prompt": "Is there more than one cow?" + }, + "output": {} + }, + { + "id": "aqa_182", + "input": { + "audio_file": "Cardiff Bay fireworks.wav", + "prompt": "Is the sky lighting up with colors?" + }, + "output": {} + }, + { + "id": "aqa_141", + "input": { + "audio_file": "Jet Engine 1.wav", + "prompt": "is the saw turned on?" + }, + "output": {} + }, + { + "id": "aqa_393", + "input": { + "audio_file": "spring rain in the woods.wav", + "prompt": "Does the water dripping sound get louder?" + }, + "output": {} + }, + { + "id": "aqa_195", + "input": { + "audio_file": "Bird Ambience.wav", + "prompt": "Is this outdoors ?" + }, + "output": {} + }, + { + "id": "aqa_139", + "input": { + "audio_file": "Cityscape construction site 2 100304.wav", + "prompt": "Can a car be heard in the background?" + }, + "output": {} + }, + { + "id": "aqa_322", + "input": { + "audio_file": "water dripping 2.wav", + "prompt": "Is water dripping?" + }, + "output": {} + }, + { + "id": "aqa_007", + "input": { + "audio_file": "By ther blacksmith-002.wav", + "prompt": "Is something metallic being hit?" + }, + "output": {} + }, + { + "id": "aqa_297", + "input": { + "audio_file": "Atmosphere on road in London.wav", + "prompt": "Are all of the sounds heard coming from something close?" + }, + "output": {} + }, + { + "id": "aqa_392", + "input": { + "audio_file": "maryam sounds 5.wav", + "prompt": "Is something jangling?" + }, + "output": {} + }, + { + "id": "aqa_305", + "input": { + "audio_file": "Cars_bridge.wav", + "prompt": "Are there any vehicles around?" + }, + "output": {} + }, + { + "id": "aqa_438", + "input": { + "audio_file": "broken comms2.wav", + "prompt": "Is the voice broken and choppy?" + }, + "output": {} + }, + { + "id": "aqa_439", + "input": { + "audio_file": "Air raid siren_rising.wav", + "prompt": "Are the birds singing?" + }, + "output": {} + }, + { + "id": "aqa_262", + "input": { + "audio_file": "SCC CLAPTER 20101210.wav", + "prompt": "Is there only a single person in the audience?" + }, + "output": {} + }, + { + "id": "aqa_209", + "input": { + "audio_file": "Construction Sounds.wav", + "prompt": "Is this loud?" + }, + "output": {} + }, + { + "id": "aqa_175", + "input": { + "audio_file": "20090412.bell.strikes.12.wav", + "prompt": "Can dogs be heard barking?" + }, + "output": {} + }, + { + "id": "aqa_286", + "input": { + "audio_file": "Short Hailstorm.wav", + "prompt": "Does the rain let up first, and then pick up steam?" + }, + "output": {} + }, + { + "id": "aqa_272", + "input": { + "audio_file": "air bubbles on the surface of the water.wav", + "prompt": "Can bubbles be heard?" + }, + "output": {} + }, + { + "id": "aqa_394", + "input": { + "audio_file": "TIKTOK_1.wav", + "prompt": "Is something keeping time?" + }, + "output": {} + }, + { + "id": "aqa_271", + "input": { + "audio_file": "Lincoln Nebraska Tornado 5 9 2016.wav", + "prompt": "Is it loudest at the beginning?" + }, + "output": {} + }, + { + "id": "aqa_060", + "input": { + "audio_file": "moving glass pieces.wav", + "prompt": "Are there repetitive clinking sounds?" + }, + "output": {} + }, + { + "id": "aqa_355", + "input": { + "audio_file": "20080918.boots.door.wav", + "prompt": "Is this person outside?" + }, + "output": {} + }, + { + "id": "aqa_472", + "input": { + "audio_file": "Westland Petrels land in their colony at dawn.wav", + "prompt": "Can a voice be heard?" + }, + "output": {} + }, + { + "id": "aqa_450", + "input": { + "audio_file": "Sound_FX_Ambient_Street_cars+passing_by.wav", + "prompt": "Can a child be heard?" + }, + "output": {} + }, + { + "id": "aqa_479", + "input": { + "audio_file": "tua-mirandela_train_arrival_march2007.wav", + "prompt": "Is the person talking?" + }, + "output": {} + }, + { + "id": "aqa_255", + "input": { + "audio_file": "md1trk33-34.wav", + "prompt": "Is there a quick fix to remedy this sound?" + }, + "output": {} + }, + { + "id": "aqa_111", + "input": { + "audio_file": "Wind-up Crank.wav", + "prompt": "Is the squealing noise unnatural?" + }, + "output": {} + }, + { + "id": "aqa_396", + "input": { + "audio_file": "Thunder Rain Cars Driving By.wav", + "prompt": "Is the ground dry?" + }, + "output": {} + }, + { + "id": "aqa_147", + "input": { + "audio_file": "market.wav", + "prompt": "Are there people having conversations?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/BirdSoundDetection/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/BirdSoundDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..30b57c1248783339416a7bea383945ad585b7020 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/BirdSoundDetection/annotation.json @@ -0,0 +1,180 @@ +{ + "set_type": "closeset", + "task": "bird sound detection", + "data_source": "Bird Audio Detection challenge", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "label": { + "0": "no bird sound", + "1": "bird sound" + }, + "data": [ + { + "id": "bsd_305", + "input": { + "audio_file": "138c8d9d-2058-4f0b-b643.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_046", + "input": { + "audio_file": "d4c97395-df78-403d-9c24.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_003", + "input": { + "audio_file": "837f0bcd-ae19-46d9-b523.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_262", + "input": { + "audio_file": "958f8316-e179-412d-a617.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_490", + "input": { + "audio_file": "367a9493-a136-4927-b511.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_141", + "input": { + "audio_file": "49285ba6-3ade-4473-8a19.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_338", + "input": { + "audio_file": "08e08bd2-448c-4cb3-801b.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_390", + "input": { + "audio_file": "fdcfa53a-bf73-4bf7-a868.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_314", + "input": { + "audio_file": "5122a4c3-d987-474b-8494.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_255", + "input": { + "audio_file": "b9df707d-da24-4137-837f.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_289", + "input": { + "audio_file": "8dc781a4-25d7-4414-b23d.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_447", + "input": { + "audio_file": "6668e69a-b69c-49fc-9f0f.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_195", + "input": { + "audio_file": "8054df7d-7171-401b-a96e.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_157", + "input": { + "audio_file": "041dca15-e775-4c09-88d5.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_410", + "input": { + "audio_file": "51beaa05-962a-4a9b-ad58.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_265", + "input": { + "audio_file": "363c1377-3522-4d17-9d1b.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_184", + "input": { + "audio_file": "7e74d733-0937-439d-be55.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_453", + "input": { + "audio_file": "c90ab208-019f-4b93-9703.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_347", + "input": { + "audio_file": "2f6f00f8-b811-4736-a9e9.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + }, + { + "id": "bsd_331", + "input": { + "audio_file": "375109fb-129c-42eb-b913.wav", + "prompt": "is there a bird sound in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/EnvironmentSoundRecognition/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/EnvironmentSoundRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..48bca7adce283b27c5bfc008c47504e549a07c1b --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/EnvironmentSoundRecognition/annotation.json @@ -0,0 +1,136 @@ +{ + "set_type": "closeset", + "task": "environment sound classification", + "data_source": "ESC-50", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "esc_461", + "input": { + "audio_file": "2-87795-A-24.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_287", + "input": { + "audio_file": "2-152964-A-31.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_423", + "input": { + "audio_file": "4-158653-A-32.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_006", + "input": { + "audio_file": "4-197454-A-28.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_079", + "input": { + "audio_file": "3-144128-A-23.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_489", + "input": { + "audio_file": "5-238021-A-35.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_462", + "input": { + "audio_file": "5-235671-A-38.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_002", + "input": { + "audio_file": "2-122066-A-45.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_016", + "input": { + "audio_file": "1-211527-A-20.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_126", + "input": { + "audio_file": "5-192191-A-19.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_354", + "input": { + "audio_file": "3-100018-A-18.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_414", + "input": { + "audio_file": "2-153388-A-31.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_078", + "input": { + "audio_file": "2-144031-A-34.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_338", + "input": { + "audio_file": "1-9887-B-49.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + }, + { + "id": "esc_481", + "input": { + "audio_file": "2-188822-C-40.wav", + "prompt": "what is the sound in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/IntentClassification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/IntentClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b7d10c166cf2f9c7227a849e3a23ab4d09461956 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/IntentClassification/annotation.json @@ -0,0 +1,233 @@ +{ + "set_type": "closeset", + "task": "intent classification", + "data_source": "FluentSpeechCommands", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "intent_label": { + "action": { + "change language": 0, + "0": "change language", + "activate": 1, + "1": "activate", + "deactivate": 2, + "2": "deactivate", + "increase": 3, + "3": "increase", + "decrease": 4, + "4": "decrease", + "bring": 5, + "5": "bring" + }, + "object": { + "none": 0, + "0": "none", + "music": 1, + "1": "music", + "lights": 2, + "2": "lights", + "volume": 3, + "3": "volume", + "heat": 4, + "4": "heat", + "lamp": 5, + "5": "lamp", + "newspaper": 6, + "6": "newspaper", + "juice": 7, + "7": "juice", + "socks": 8, + "8": "socks", + "Chinese": 9, + "9": "Chinese", + "Korean": 10, + "10": "Korean", + "English": 11, + "11": "English", + "German": 12, + "12": "German", + "shoes": 13, + "13": "shoes" + }, + "location": { + "none": 0, + "0": "none", + "kitchen": 1, + "1": "kitchen", + "bedroom": 2, + "2": "bedroom", + "washroom": 3, + "3": "washroom" + } + }, + "output_text_description": "The output text is the intent of the audio. The intent is composed of three parts: action, object, and location. The action is the action that the speaker is doing in the audio. The object is the object that the speaker is interacting with in the audio. The location is the location where the speaker is in the audio.", + "data": [ + { + "id": "ic_00896", + "input": { + "audio_file": "7B4XmNppyrCK977p/c0b9c390-45ce-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_02583", + "input": { + "audio_file": "ppymZZDb2Bf4NQnE/b44bf7d0-44f3-11e9-a1ea-79ca03012c0e.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_03488", + "input": { + "audio_file": "V4ZbwLm9G5irobWn/b1de4b00-4526-11e9-a843-8db76f4b5e29.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_01917", + "input": { + "audio_file": "NgQEvO2x7Vh3xy2xz/5af3ec00-45d0-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00260", + "input": { + "audio_file": "4BrX8aDqK2cLZRYl/66cedad0-4530-11e9-b1e4-e5985dca719e.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_02900", + "input": { + "audio_file": "V4ejqNL4xbUKkYrV/de55a0d0-4598-11e9-bf4b-216bfa333ac2.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00577", + "input": { + "audio_file": "7B4XmNppyrCK977p/0ba6cff0-45cb-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00488", + "input": { + "audio_file": "7B4XmNppyrCK977p/abca5310-45c8-11e9-8ec0-7bf21d1cfe30.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_01823", + "input": { + "audio_file": "NgQEvO2x7Vh3xy2xz/ff7148d0-45cc-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_01264", + "input": { + "audio_file": "k5bqyxx2lzIbrlg9/12b65b60-4528-11e9-a843-8db76f4b5e29.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00697", + "input": { + "audio_file": "7B4XmNppyrCK977p/931395d0-45cc-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_02607", + "input": { + "audio_file": "ppymZZDb2Bf4NQnE/162b8290-44f4-11e9-a1ea-79ca03012c0e.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_03341", + "input": { + "audio_file": "V4ZbwLm9G5irobWn/9ea7b140-4524-11e9-a843-8db76f4b5e29.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00137", + "input": { + "audio_file": "4BrX8aDqK2cLZRYl/a322f4a0-452e-11e9-b1e4-e5985dca719e.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_03562", + "input": { + "audio_file": "V4ZbwLm9G5irobWn/6d9265b0-4528-11e9-a843-8db76f4b5e29.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00712", + "input": { + "audio_file": "7B4XmNppyrCK977p/bb9686c0-45cc-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_01663", + "input": { + "audio_file": "NgQEvO2x7Vh3xy2xz/04847de0-45c0-11e9-8ec0-7bf21d1cfe30.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_03321", + "input": { + "audio_file": "V4ZbwLm9G5irobWn/5a57bf30-4524-11e9-a843-8db76f4b5e29.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00880", + "input": { + "audio_file": "7B4XmNppyrCK977p/8ca47b40-45ce-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + }, + { + "id": "ic_00844", + "input": { + "audio_file": "7B4XmNppyrCK977p/2a313c00-45ce-11e9-9992-dfba019cb646.wav", + "prompt": "what is the intent in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/LongAudioCaptioning/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/LongAudioCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..71db0d5d49339175b8d34446e5999ad41d6b03a4 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/LongAudioCaptioning/annotation.json @@ -0,0 +1,416 @@ +{ + "set_type": "closeset", + "task": "audio captioning", + "data_source": "Clotho", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "cc_289", + "input": { + "audio_file": "06 - 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"input": { + "audio_file": "Chopping Celery.wav", + "prompt": "Review the audio and offer a description." + }, + "output": {} + }, + { + "id": "cc_450", + "input": { + "audio_file": "Regent's conversation.wav", + "prompt": "Review the audio and offer a description." + }, + "output": {} + }, + { + "id": "cc_150", + "input": { + "audio_file": "Fountain Trompenburg 090928.wav", + "prompt": "Listen to the audio and give a description." + }, + "output": {} + }, + { + "id": "cc_124", + "input": { + "audio_file": "water_vipS.wav", + "prompt": "Listen to the audio and give a description." + }, + "output": {} + }, + { + "id": "cc_395", + "input": { + "audio_file": "Walking in Kitchen.wav", + "prompt": "Listen to the clip and write a description." + }, + "output": {} + }, + { + "id": "cc_011", + "input": { + "audio_file": "Street_Car.wav", + "prompt": "Analyze the recording and describe it." + }, + "output": {} + }, + { + "id": "cc_045", + "input": { + "audio_file": "pouring water (dif 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a/Scope-A/S-A-Quick/audio/comprehension/MusicGenreClassification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/MusicGenreClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..45e63a6f81ab86e5a631f2cd007c6e9bfdd68c8e --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/MusicGenreClassification/annotation.json @@ -0,0 +1,136 @@ +{ + "set_type": "closeset", + "task": "music genre classification", + "data_source": "GTZAN", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "mgc_119", + "input": { + "audio_file": "pop\\pop.00067.wav", + "prompt": "what is the genre of the music in the audio?" + }, + "output": {} + }, + { + "id": "mgc_017", + "input": { + "audio_file": "blues\\blues.00046.wav", + "prompt": "what is the genre of the music in the audio?" + }, + "output": {} + }, + { + "id": "mgc_291", + "input": { + "audio_file": 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is the genre of the music in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentClassification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8c6f0a1186a461b088722aaaf492a230bd09cef5 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentClassification/annotation.json @@ -0,0 +1,136 @@ +{ + "set_type": "closeset", + "task": "music instrument analysis", + "data_source": "Nsynth instrucment", + "type": "audio comprehension", + "modality": { + "in": [ + "audio" + ], + "out": "text" + }, + "version": "1.0", + "data_description": "The Nsynth Pitch dataset is a dataset for music instrument analysis. The dataset contains audio recordings of musical notes. There are 11 instruments, including bass, brass, flute, guitar, , keyboard, mallet, organ, reed, string, synth_lead, vocal.", + "data": [ + { + "id": "mia_451", + "input": { + "audio_file": "bass_synthetic_134-071-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_373", + "input": { + "audio_file": "bass_synthetic_034-054-100.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_076", + "input": { + "audio_file": "bass_synthetic_034-100-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_179", + "input": { + "audio_file": "keyboard_acoustic_004-034-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_163", + "input": { + "audio_file": "keyboard_electronic_078-030-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_432", + "input": { + "audio_file": "guitar_acoustic_010-024-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_336", + "input": { + "audio_file": "bass_electronic_027-031-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_437", + "input": { + "audio_file": "string_acoustic_071-034-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_324", + "input": { + "audio_file": "bass_synthetic_009-012-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_358", + "input": { + "audio_file": "keyboard_electronic_003-095-100.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_223", + "input": { + "audio_file": "keyboard_electronic_003-073-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_369", + "input": { + "audio_file": "keyboard_electronic_098-057-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_362", + "input": { + "audio_file": "bass_synthetic_009-086-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_418", + "input": { + "audio_file": "vocal_acoustic_000-050-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "mia_317", + "input": { + "audio_file": "guitar_acoustic_010-097-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentSourceAnalysis/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentSourceAnalysis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..034f778ac50d0841101b411e7cf404bac57e03d6 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/MusicInstrumentSourceAnalysis/annotation.json @@ -0,0 +1,136 @@ +{ + "set_type": "closeset", + "task": "music instrument source analysis", + "data_source": "Nsynth", + "type": "audio comprehension", + "modality": { + "in": [ + "audio" + ], + "out": "text" + }, + "version": "1.0", + "data_description": "The Nsynth dataset is a dataset for the sonic source analysis for this instrument . The method of sound production for the note's instrument, including acoustic, electronic, synthetic", + "data": [ + { + "id": "isa_323", + "input": { + "audio_file": "keyboard_electronic_098-102-127.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_069", + "input": { + "audio_file": "bass_electronic_027-032-127.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_132", + "input": { + "audio_file": "guitar_electronic_028-082-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_155", + "input": { + "audio_file": "reed_acoustic_023-035-050.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_023", + "input": { + "audio_file": "keyboard_electronic_001-107-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_495", + "input": { + "audio_file": "keyboard_electronic_078-059-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_316", + "input": { + "audio_file": "keyboard_electronic_003-045-075.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_110", + "input": { + "audio_file": "organ_electronic_104-071-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_090", + "input": { + "audio_file": "keyboard_electronic_001-040-075.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_059", + "input": { + "audio_file": "keyboard_electronic_003-095-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_390", + "input": { + "audio_file": "bass_synthetic_033-073-050.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_209", + "input": { + "audio_file": "mallet_acoustic_047-093-127.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_194", + "input": { + "audio_file": "string_acoustic_014-036-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_146", + "input": { + "audio_file": "vocal_synthetic_003-104-075.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + }, + { + "id": "isa_037", + "input": { + "audio_file": "string_acoustic_057-061-100.wav", + "prompt": "what is the method of sound production for the note's instrument used in the music?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/MusicPitchAnalysis/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/MusicPitchAnalysis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1c33fd6ab7d482d021362c14c7f597d0503782aa --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/MusicPitchAnalysis/annotation.json @@ -0,0 +1,136 @@ +{ + "set_type": "closeset", + "task": "music pitch analysis", + "data_source": "Nsynth Pitch", + "type": "audio comprehension", + "modality": { + "in": [ + "audio" + ], + "out": "text" + }, + "version": "1.0", + "data_description": "The Nsynth Pitch dataset is a dataset for music pitch analysis. The dataset contains audio recordings of musical notes. The 0-based MIDI pitch in the range [0, 127].", + "data": [ + { + "id": "mpa_477", + "input": { + "audio_file": "bass_electronic_018-057-100.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_400", + "input": { + "audio_file": "brass_acoustic_015-056-025.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_355", + "input": { + "audio_file": "keyboard_electronic_001-047-127.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_436", + "input": { + "audio_file": "bass_synthetic_068-042-025.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_376", + "input": { + "audio_file": "bass_synthetic_098-067-127.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_218", + "input": { + "audio_file": "organ_electronic_028-032-075.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_003", + "input": { + "audio_file": "string_acoustic_014-055-025.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_042", + "input": { + "audio_file": "mallet_acoustic_047-104-075.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_192", + "input": { + "audio_file": "guitar_acoustic_021-101-100.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_031", + "input": { + "audio_file": "organ_electronic_001-064-025.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_126", + "input": { + "audio_file": "mallet_acoustic_062-085-100.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_357", + "input": { + "audio_file": "brass_acoustic_016-066-127.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_433", + "input": { + "audio_file": "bass_electronic_025-048-025.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_183", + "input": { + "audio_file": "guitar_acoustic_030-040-127.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + }, + { + "id": "mpa_072", + "input": { + "audio_file": "keyboard_electronic_002-039-127.wav", + "prompt": "what is the pitch of the music in the audio?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/NoteQualitiesAnalysis/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/NoteQualitiesAnalysis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f5719ab28069f4478f96b7041de5800fd0f2b61f --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/NoteQualitiesAnalysis/annotation.json @@ -0,0 +1,176 @@ +{ + "set_type": "closeset", + "task": "music note quality analysis", + "data_source": "Nsynth Note Qualities", + "type": "audio comprehension", + "modality": { + "in": [ + "audio" + ], + "out": "text" + }, + "version": "1.0", + "data_description": "The Nsynth Pitch dataset is a dataset for music note quality analysis. We provide quality annotations for the 10 different note qualities described below. None of the tags are mutually exclusive by definition except for \u201cbright\u201d and \u201cdark\u201d. However, it is possible for a note to be neither \u201cbright\u201d nor \u201cdark\u201d.", + "data": [ + { + "id": "nqa_262", + "input": { + "audio_file": "string_acoustic_080-033-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_294", + "input": { + "audio_file": "organ_electronic_057-030-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_449", + "input": { + "audio_file": "organ_electronic_057-050-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_024", + "input": { + "audio_file": "keyboard_synthetic_000-040-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_097", + "input": { + "audio_file": "organ_electronic_028-034-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_140", + "input": { + "audio_file": "bass_synthetic_068-100-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_388", + "input": { + "audio_file": "bass_synthetic_009-022-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_318", + "input": { + "audio_file": "organ_electronic_007-023-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_432", + "input": { + "audio_file": "keyboard_electronic_001-048-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_146", + "input": { + "audio_file": "guitar_acoustic_015-023-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_104", + "input": { + "audio_file": "keyboard_synthetic_000-091-100.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_333", + "input": { + "audio_file": "organ_electronic_028-032-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_426", + "input": { + "audio_file": "bass_synthetic_134-064-025.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_297", + "input": { + "audio_file": "keyboard_electronic_002-076-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_444", + "input": { + "audio_file": "bass_synthetic_135-037-100.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_373", + "input": { + "audio_file": "string_acoustic_080-033-075.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_420", + "input": { + "audio_file": "flute_synthetic_000-048-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_196", + "input": { + "audio_file": "guitar_acoustic_015-104-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_431", + "input": { + "audio_file": "bass_synthetic_134-032-050.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + }, + { + "id": "nqa_433", + "input": { + "audio_file": "bass_synthetic_098-027-127.wav", + "prompt": "what is the instrument used in the music?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/OpenAudioQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/OpenAudioQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c5c2a21e7c4b74e42895bf96f8e4de78f27b106c --- /dev/null +++ b/Scope-A/S-A-Quick/audio/comprehension/OpenAudioQuestionAnswering/annotation.json @@ -0,0 +1,256 @@ +{ + "set_type": "closeset", + "task": "Open-ended Question Answering", + "data_source": "OpenAQA (LTU) ", + "type": "audio comprehension", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "opqa_218", + "input": { + "audio_file": "RDEi-N2tCQg.flac", + "prompt": "Why does the sound of mechanisms occur for a longer duration?" + }, + "output": {} + }, + { + "id": "opqa_324", + "input": { + "audio_file": "247225.wav", + "prompt": "What other musical instruments might be playing in this audio clip?" + }, + "output": {} + }, + { + "id": "opqa_357", + "input": { + "audio_file": "382886.wav", + "prompt": "What kind of scenario could this audio clip come from and why?" + }, + "output": {} + }, + { + "id": "opqa_449", + "input": { + "audio_file": "331985.flac", + "prompt": "Is the knocking sound patterned or random?" + }, + "output": {} + }, + { + "id": "opqa_368", + "input": { + "audio_file": "551514.flac", + "prompt": "What type of microphone was used to record the audio clip?" + }, + "output": {} + }, + { + "id": "opqa_323", + "input": { + "audio_file": "82507.flac", + "prompt": "What musical genre is typically associated with breakbeats?" + }, + "output": {} + }, + { + "id": "opqa_304", + "input": { + "audio_file": "HBawAl3vH3U.flac", + "prompt": "What can we infer from the presence of a toilet flush sound in the audio clip?" + }, + "output": {} + }, + { + "id": "opqa_202", + "input": { + "audio_file": "402820.flac", + "prompt": "What could be inferred from the reverb at the end of the white noise section?" + }, + "output": {} + }, + { + "id": "opqa_193", + "input": { + "audio_file": "zCbOiYolXrQ.flac", + "prompt": "What is the acoustic feature of the wind sound?" + }, + "output": {} + }, + { + "id": "opqa_108", + "input": { + "audio_file": "54924.wav", + "prompt": "What kind of setting or scenario could potentially give rise to rich human voice combined with loud and contagious laughter?" + }, + "output": {} + }, + { + "id": "opqa_491", + "input": { + "audio_file": "Crowds_in_Street_in_Seville.wav", + "prompt": "What might be some of the emotions or sentiments that the people in the audio clip are feeling?" + }, + "output": {} + }, + { + "id": "opqa_352", + "input": { + "audio_file": "nkFMcjk04aI.flac", + "prompt": "What type of laughter can be heard in the audio?" + }, + "output": {} + }, + { + "id": "opqa_334", + "input": { + "audio_file": "24312.wav", + "prompt": "What emotion could be conveyed through the full and rich voice in this audio clip?" + }, + "output": {} + }, + { + "id": "opqa_024", + "input": { + "audio_file": "24312.wav", + "prompt": "Based on the acoustic features, what could be the possible gender of the person who is whispering?" + }, + "output": {} + }, + { + "id": "opqa_010", + "input": { + "audio_file": "pBPg9RYg2lU.flac", + "prompt": "What emotions or feelings does the sound of the mechanisms convey?" + }, + "output": {} + }, + { + "id": "opqa_431", + "input": { + "audio_file": "Submarine_Diesel_Engine_002.wav", + "prompt": "What is happening in the audio clip?" + }, + "output": {} + }, + { + "id": "opqa_490", + "input": { + "audio_file": "551514.flac", + "prompt": "What is the friend's reaction to reading the name in the game?" + }, + "output": {} + }, + { + "id": "opqa_000", + "input": { + "audio_file": "_jPH-NvvTno.flac", + "prompt": "What can be inferred based on the combination of sound events in the clip?" + }, + "output": {} + }, + { + "id": "opqa_454", + "input": { + "audio_file": "5EFYHBn7660.flac", + "prompt": "What is the temporal relationship between the rain and boat sound events?" + }, + "output": {} + }, + { + "id": "opqa_321", + "input": { + "audio_file": "16061.flac", + "prompt": "What is the mood or atmosphere conveyed by the synthesizer house loop in the audio clip?" + }, + "output": {} + }, + { + "id": "opqa_210", + "input": { + "audio_file": "k4yNgOC-cD8.flac", + "prompt": "What is the acoustic feature of the male speech?" + }, + "output": {} + }, + { + "id": "opqa_289", + "input": { + "audio_file": "aah1FLl5EjU.flac", + "prompt": "What is the timbre of the sound of music?" + }, + "output": {} + }, + { + "id": "opqa_101", + "input": { + "audio_file": "-4BWpdVUMWc.flac", + "prompt": "At what time does the sound of the tick occur in the audio clip?" + }, + "output": {} + }, + { + "id": "opqa_367", + "input": { + "audio_file": "s8BzZu0yg4E.flac", + "prompt": "What is the quality of the breathing sounds?" + }, + "output": {} + }, + { + "id": "opqa_033", + "input": { + "audio_file": "575971.flac", + "prompt": "What is the predominant instrument in the loop?" + }, + "output": {} + }, + { + "id": "opqa_238", + "input": { + "audio_file": "j5oZYOBOppQ_000052.flac", + "prompt": "What are some possible reasons for a mouse to squeak?" + }, + "output": {} + }, + { + "id": "opqa_219", + "input": { + "audio_file": "159426.flac", + "prompt": "What are some potential impacts that the presence of crows and their calls in an urban setting might have on the surrounding environment and human population?" + }, + "output": {} + }, + { + "id": "opqa_063", + "input": { + "audio_file": "oNbekRS85f0_000003.flac", + "prompt": "What potential scenario could this audio clip be from based on the sound of the engine?" + }, + "output": {} + }, + { + "id": "opqa_123", + "input": { + "audio_file": "qEWBkrVGkng_000063.flac", + "prompt": "How does the acoustic feature of the pheasant crowing differ from other bird calls?" + }, + "output": {} + }, + { + "id": "opqa_377", + "input": { + "audio_file": "wind_turbine_blades.wav", + "prompt": "How does the combination of sound events in the audio clip create a certain atmosphere or mood?" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/comprehension/SingerIdentification/annotation.json b/Scope-A/S-A-Quick/audio/comprehension/SingerIdentification/annotation.json new file mode 100644 index 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The dataset contains audio recordings of 5 different singers, i.e., female2, female8, male3, male5, male10.", + "data": [ + { + "id": "si_352", + "input": { + "audio_file": "male10\\scales\\fast_forte\\m10_scales_c_fast_forte_a.wav", + "prompt": "who is the singer in the audio?" + }, + "output": {} + }, + { + "id": "si_101", + "input": { + "audio_file": "male10\\scales\\vocal_fry\\m10_scales_vocal_fry_a.wav", + "prompt": "who is the singer in the audio?" + }, + "output": {} + }, + { + "id": "si_406", + "input": { + "audio_file": "female8\\arpeggios\\fast_piano\\f8_arpeggios_f_fast_piano_u.wav", + "prompt": "who is the singer in the audio?" + }, + "output": {} + }, + { + "id": "si_333", + "input": { + "audio_file": "female2\\long_tones\\trillo\\f2_long_trillo_i.wav", + "prompt": "who is the singer in the audio?" + }, + "output": {} + }, + { + "id": "si_089", + "input": { + "audio_file": "female8\\arpeggios\\lip_trill\\f8_arpeggios_lip_trill_u.wav", + "prompt": "who is the singer in the 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+ "audio_file": "103849.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_331", + "input": { + "audio_file": "103549.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_495", + "input": { + "audio_file": "103966.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_346", + "input": { + "audio_file": "106224.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_084", + "input": { + "audio_file": "103253.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_046", + "input": { + "audio_file": "104938.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_321", + "input": { + "audio_file": "105362.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_057", + "input": { + "audio_file": "103809.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_472", + "input": { + "audio_file": "105121.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_426", + "input": { + "audio_file": "105678.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_185", + "input": { + "audio_file": "106078.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_199", + "input": { + "audio_file": "103121.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_394", + "input": { + "audio_file": "106327.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_380", + "input": { + "audio_file": "107359.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_196", + "input": { + "audio_file": "104662.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_367", + "input": { + "audio_file": "105151.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_497", + "input": { + "audio_file": "104229.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_255", + "input": { + "audio_file": "105138.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_450", + "input": { + "audio_file": "106151.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_024", + "input": { + "audio_file": "4939.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_092", + "input": { + "audio_file": "104204.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_176", + "input": { + "audio_file": "105666.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_172", + "input": { + "audio_file": "105625.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_094", + "input": { + "audio_file": "106157.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_286", + "input": { + "audio_file": "105286.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_407", + "input": { + "audio_file": "105990.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_039", + "input": { + "audio_file": "106637.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_334", + "input": { + "audio_file": "105796.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_375", + "input": { + "audio_file": "105854.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_369", + "input": { + "audio_file": "106211.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_246", + "input": { + "audio_file": "106472.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_469", + "input": { + "audio_file": "105378.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_005", + "input": { + "audio_file": "105052.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_335", + "input": { + "audio_file": "104010.wav", + "prompt": "Describe the given audio" + }, + "output": {} + }, + { + "id": "ac_165", + "input": { + "audio_file": "104189.wav", + "prompt": "Describe the given audio" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/AudioEdit/annotation.json b/Scope-A/S-A-Quick/audio/generation/AudioEdit/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ec2809d5c3dacbb470ef6f1ccc5c3ea0a559ff7e --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/AudioEdit/annotation.json @@ -0,0 +1,97 @@ +{ + "set_type": "closeset", + "task": "audio editing", + "data_source": "AudioEdit", + "type": "audio generation", + "modality": { + "in": [ + "audio", + "text" + ], + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "ae_00014", + "input": { + "audio_file": "703.wav", + "text": "A soothing acoustic guitar song that evokes nostalgia, featuring intricate fingerpicking. The melody is both sacred and mysterious, with a rich texture.", + "prompt": "edit the given audio file: A soothing acoustic guitar song that evokes nostalgia, featuring intricate fingerpicking. The melody is both sacred and mysterious, with a rich texture." + }, + "output": {} + }, + { + "id": "ae_00009", + "input": { + "audio_file": "933.wav", + "text": "A joyful saxophone performance that is smooth and cohesive, accompanied by cello. The first half features a relaxed tempo, while the second half picks up with an upbeat rhythm, creating a lively and energetic atmosphere. The overall sound is harmonious and clear, evoking feelings of happiness and vitality.", + "prompt": "edit the given audio file: A joyful saxophone performance that is smooth and cohesive, accompanied by cello. The first half features a relaxed tempo, while the second half picks up with an upbeat rhythm, creating a lively and energetic atmosphere. The overall sound is harmonious and clear, evoking feelings of happiness and vitality." + }, + "output": {} + }, + { + "id": "ae_00013", + "input": { + "audio_file": "57.wav", + "text": "A lively 70s style British pop song featuring drums, electric guitars, and synth violin. The instruments blend harmoniously, creating a dynamic, clean sound without any noise or clutter.", + "prompt": "edit the given audio file: A lively 70s style British pop song featuring drums, electric guitars, and synth violin. The instruments blend harmoniously, creating a dynamic, clean sound without any noise or clutter." + }, + "output": {} + }, + { + "id": "ae_00011", + "input": { + "audio_file": "1069.wav", + "text": "An instrumental piece primarily featuring piano, with a lively rhythm and cheerful melodies that evoke a sense of joyful childhood playfulness. The melodies are clear and bright.", + "prompt": "edit the given audio file: An instrumental piece primarily featuring piano, with a lively rhythm and cheerful melodies that evoke a sense of joyful childhood playfulness. The melodies are clear and bright." + }, + "output": {} + }, + { + "id": "ae_00010", + "input": { + "audio_file": "933.wav", + "text": "A cheerful piano performance with a smooth and flowing rhythm, evoking feelings of joy and vitality.", + "prompt": "edit the given audio file: A cheerful piano performance with a smooth and flowing rhythm, evoking feelings of joy and vitality." + }, + "output": {} + }, + { + "id": "ae_00003", + "input": { + "audio_file": "322.wav", + "text": "Hopeful instrumental with guitar being the lead and tabla used for percussion in the middle giving a feeling of going somewhere with positive outlook", + "prompt": "edit the given audio file: Hopeful instrumental with guitar being the lead and tabla used for percussion in the middle giving a feeling of going somewhere with positive outlook" + }, + "output": {} + }, + { + "id": "ae_00006", + "input": { + "audio_file": "610.wav", + "text": "Pop solo piano instrumental song. Simple harmony and emotional theme. Makes you feel nostalgic and wanting a cup of warm tea sitting on the couch while holding the person you love.", + "prompt": "edit the given audio file: Pop solo piano instrumental song. Simple harmony and emotional theme. Makes you feel nostalgic and wanting a cup of warm tea sitting on the couch while holding the person you love." + }, + "output": {} + }, + { + "id": "ae_00002", + "input": { + "audio_file": "322.wav", + "text": "This track composed of electronic instruments gives a sense of opening and clearness.", + "prompt": "edit the given audio file: This track composed of electronic instruments gives a sense of opening and clearness." + }, + "output": {} + }, + { + "id": "ae_00000", + "input": { + "audio_file": "49.wav", + "text": "A vibrant MIDI electronic composition with a hopeful and optimistic vibe.", + "prompt": "edit the given audio file: A vibrant MIDI electronic composition with a hopeful and optimistic vibe." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/ChordBasedMusicStyleTransfer/annotation.json b/Scope-A/S-A-Quick/audio/generation/ChordBasedMusicStyleTransfer/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..36823f2d73392d5344078098906041922c14607d --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/ChordBasedMusicStyleTransfer/annotation.json @@ -0,0 +1,117 @@ +{ + "set_type": "closeset", + "task": "chord-based music style transfer", + "data_source": "Groove2Groove", + "type": "audio generation", + "modality": { + "in": [ + "midi", + "chord" + ], + "out": "midi" + }, + "version": "1.0", + "description": "The task is to generate music style from the given midi file and chord. The filenames have the form \\{chart_name\\}.\\{style\\}_\\{substyle\\}.mid", + "data": [ + { + "id": "cbmst_01036", + "input": { + "target_chord_file": "mgu\\b\\min118.MGU", + "self_chord_file": "mgu\\b\\min118.MGU", + "midi_file": "midi/min118.J!TRAD_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_01142", + "input": { + "target_chord_file": "mgu\\b\\min171.MGU", + "self_chord_file": "mgu\\a\\min171.MGU", + "midi_file": "midi/min171.Big+_a.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00196", + "input": { + "target_chord_file": "mgu\\a\\maj598.MGU", + "self_chord_file": "mgu\\b\\maj598.MGU", + "midi_file": "midi/maj598.J!TRAD_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00974", + "input": { + "target_chord_file": "mgu\\a\\maj987.MGU", + "self_chord_file": "mgu\\a\\maj987.MGU", + "midi_file": "midi/maj987.ChaGuiro_a.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_01118", + "input": { + "target_chord_file": "mgu\\b\\min159.MGU", + "self_chord_file": "mgu\\a\\min159.MGU", + "midi_file": "midi/min159.Big+_a.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00548", + "input": { + "target_chord_file": "mgu\\a\\maj774.MGU", + "self_chord_file": "mgu\\b\\maj774.MGU", + "midi_file": "midi/maj774.LEANDER_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00922", + "input": { + "target_chord_file": "mgu\\b\\maj961.MGU", + "self_chord_file": "mgu\\a\\maj961.MGU", + "midi_file": "midi/maj961.ChaGuiro_a.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00492", + "input": { + "target_chord_file": "mgu\\a\\maj746.MGU", + "self_chord_file": "mgu\\b\\maj746.MGU", + "midi_file": "midi/maj746.C_BILLY_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00300", + "input": { + "target_chord_file": "mgu\\a\\maj650.MGU", + "self_chord_file": "mgu\\b\\maj650.MGU", + "midi_file": "midi/maj650.City1_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + }, + { + "id": "cbmst_00958", + "input": { + "target_chord_file": "mgu\\b\\maj979.MGU", + "self_chord_file": "mgu\\b\\maj979.MGU", + "midi_file": "midi/maj979.City1_b.mid", + "prompt": "generate music style from the given midi file and chord: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/DailyTalkGeneration/annotation.json b/Scope-A/S-A-Quick/audio/generation/DailyTalkGeneration/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..35d941036df28ff2147e586baa4bc095a1bd95fb --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/DailyTalkGeneration/annotation.json @@ -0,0 +1,523 @@ +{ + "set_type": "closeset", + "task": "daily talk generation (Conversational text-to-speech)", + "data_source": "DailyTalk", + "type": "audio generation", + "modality": { + "in": [ + "text", + "audio" + ], + "out": "audio" + }, + "version": "1.0", + "description": "The task is to generate audio response from the given dialogue history. The dialogue history is a sequence of utterances, and the last utterance is the answer. The audio file is the audio of the last utterance. The audio name is the concatenation of the utterance index, speaker, and dialogue index.", + "data": [ + { + "id": "dt_00310", + "input": { + "dialogue_history": [ + "Can you tell me what happened here?", + "Yes. I had a bad traffic accident. Look, my car looks like a squashed coke can.", + "Did you see the car before it hit you?", + "No, I didn't. That car was too fast.", + "Umm which lane were you in?", + "I don't remember.", + "What was your speed then?", + "Fourty miles per hour.", + "Which direction were you coming from? And which direction were you going?", + "Just straight.", + "Please move your vehicle off to the side of the road. We will check on it. Do you feel like you need an ambulance?", + "No, I didn't get hurt. Thanks for your concern." + ], + "audio_history": [ + "1958\\0_1_d1958.wav", + "1958\\1_0_d1958.wav", + "1958\\2_1_d1958.wav", + "1958\\3_0_d1958.wav", + "1958\\4_1_d1958.wav", + "1958\\5_0_d1958.wav", + "1958\\6_1_d1958.wav", + "1958\\7_0_d1958.wav", + "1958\\8_1_d1958.wav", + "1958\\9_0_d1958.wav", + "1958\\10_1_d1958.wav", + "1958\\11_0_d1958.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00338", + "input": { + "dialogue_history": [ + "Now, madam, here is the Hotel.", + "What's the fare?", + "Fifteen dollars.", + "The fare is different from the meter.", + "Well, madam, the meter was not on at all. You didn't tell me." + ], + "audio_history": [ + "123\\0_0_d123.wav", + "123\\1_1_d123.wav", + "123\\2_0_d123.wav", + "123\\3_1_d123.wav", + "123\\4_0_d123.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00407", + "input": { + "dialogue_history": [ + "Good morning, madam. What can I do for you?", + "I want some coffee.", + "Certainly, madam. What kind of coffee do you want to have?", + "What have you got?", + "Well. We have espresso, latte, skinny latte, fancy coffee and Americano.", + "I think I'll have a latte, please." + ], + "audio_history": [ + "1837\\0_0_d1837.wav", + "1837\\1_1_d1837.wav", + "1837\\2_0_d1837.wav", + "1837\\3_1_d1837.wav", + "1837\\4_0_d1837.wav", + "1837\\5_1_d1837.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00347", + "input": { + "dialogue_history": [ + "Hello. May I speak to Brian, please?", + "Sorry, you have the wrong number. There's no Brian here.", + "Is this seven-seven-seven-nine-three-four-five?", + "No, it's seven-seven-seven-nine-three-four-four.", + "Oh, I\u2019m so sorry." + ], + "audio_history": [ + "586\\0_1_d586.wav", + "586\\1_0_d586.wav", + "586\\2_1_d586.wav", + "586\\3_0_d586.wav", + "586\\4_1_d586.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00165", + "input": { + "dialogue_history": [ + "John's father got married again.", + "Married whom?", + "If I tell you, you must be completely taken aback.", + "Come on. Tell me what happened.", + "He married a girl who is only eighteen!" + ], + "audio_history": [ + "1026\\0_0_d1026.wav", + "1026\\1_1_d1026.wav", + "1026\\2_0_d1026.wav", + "1026\\3_1_d1026.wav", + "1026\\4_0_d1026.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00036", + "input": { + "dialogue_history": [ + "How do I use this adhesive?", + "This is a special adhesive for easing the pain. Apply it to the painful area and change it in every two days.", + "Umm how do I use the lotion?", + "Apply some of the ointment, and rub it into the skin.", + "Well, thanks very much." + ], + "audio_history": [ + "518\\0_0_d518.wav", + "518\\1_1_d518.wav", + "518\\2_0_d518.wav", + "518\\3_1_d518.wav", + "518\\4_0_d518.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00302", + "input": { + "dialogue_history": [ + "What's the special today?", + "' All-you-can-eat ' dinner special.", + "I don't like to.", + "Do you care for seafood?", + "Yes, I'm very fond of seafood.", + "Which seafood do you prefer?", + "I'd like to have red cooked sea cucumber.", + "Is there anything else you would like to have?", + "Bring me an assorted cold dish, please.", + "Would you care for beverage?", + "No, thanks. I'm fine.", + "What would you like to drink?" + ], + "audio_history": [ + "2281\\0_1_d2281.wav", + "2281\\1_0_d2281.wav", + "2281\\2_1_d2281.wav", + "2281\\3_0_d2281.wav", + "2281\\4_1_d2281.wav", + "2281\\5_0_d2281.wav", + "2281\\6_1_d2281.wav", + "2281\\7_0_d2281.wav", + "2281\\8_1_d2281.wav", + "2281\\9_0_d2281.wav", + "2281\\10_1_d2281.wav", + "2281\\11_0_d2281.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00331", + "input": { + "dialogue_history": [ + "These are new arrivals.", + "Let me have a look.", + "Try them if you like.", + "I like the fabric, but I don\u2019t like the style.", + "What about that one over there?" + ], + "audio_history": [ + "2539\\0_1_d2539.wav", + "2539\\1_0_d2539.wav", + "2539\\2_1_d2539.wav", + "2539\\3_0_d2539.wav", + "2539\\4_1_d2539.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00116", + "input": { + "dialogue_history": [ + "Can I help you?", + "Could you show me the coat on the shelf?", + "Sure. Please come this way.", + "May I try it on?", + "Of course. Here is the fitting room.", + "It doesn't fit quite right. It feels a little tight in the waist. Do you have this in a larger size?", + "Yes, here it is.", + "Well, how do I look in this one?", + "You look really beautiful in it." + ], + "audio_history": [ + "1132\\0_1_d1132.wav", + "1132\\1_0_d1132.wav", + "1132\\2_1_d1132.wav", + "1132\\3_0_d1132.wav", + "1132\\4_1_d1132.wav", + "1132\\5_0_d1132.wav", + "1132\\6_1_d1132.wav", + "1132\\7_0_d1132.wav", + "1132\\8_1_d1132.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00373", + "input": { + "dialogue_history": [ + "Good evening, Pizza House. This is Marty speaking. May I take your order?", + "Umm yes, I'd like a medium pizza with pepperoni, olives, and extra cheese.", + "We have a two-for-one special on large pizzas. Would you like a large pizza instead?", + "Sure, that sounds good.", + "Great! Would you like your second pizza to be these as the first?", + "No, make the second one with ham, pineappleand and green peppers. Oh, and make it thin crust.", + "OK, thin crust. Your total is twenty one-fifty dollars and your order will arrive in thirty minutes or it\u2019s free!", + "Perfect. Thank you. Bye..." + ], + "audio_history": [ + "1742\\0_1_d1742.wav", + "1742\\1_0_d1742.wav", + "1742\\2_1_d1742.wav", + "1742\\3_0_d1742.wav", + "1742\\4_1_d1742.wav", + "1742\\5_0_d1742.wav", + "1742\\6_1_d1742.wav", + "1742\\7_0_d1742.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00451", + "input": { + "dialogue_history": [ + "Would you like your bags to be taken to your room?", + "Yes, please.", + "OK. I'll get the bellman to take them up. Which bags are yours?", + "My luggage is in the corner over there. They are the leather suitcase, the canvas holdall and the blue backpack.", + "OK.", + "Please be careful with the suitcase, it's very heavy.", + "I'll let the bellboy know. Don't worry, he's very strong.", + "And the holdall has some fragile items inside, so please be careful with that too." + ], + "audio_history": [ + "2515\\0_0_d2515.wav", + "2515\\1_1_d2515.wav", + "2515\\2_0_d2515.wav", + "2515\\3_1_d2515.wav", + "2515\\4_0_d2515.wav", + "2515\\5_1_d2515.wav", + "2515\\6_0_d2515.wav", + "2515\\7_1_d2515.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00045", + "input": { + "dialogue_history": [ + "I wish I knew who had moved our flower pots.", + "It was me. I am so sorry.", + "What did you think you were doing?", + "I had to move it, so that I can get my bike through.", + "How dare you be so inconsiderate? That's wrong.", + "I am awfully sorry. I didn't think you would mind so much.", + "Never do that again." + ], + "audio_history": [ + "2090\\0_1_d2090.wav", + "2090\\1_0_d2090.wav", + "2090\\2_1_d2090.wav", + "2090\\3_0_d2090.wav", + "2090\\4_1_d2090.wav", + "2090\\5_0_d2090.wav", + "2090\\6_1_d2090.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00249", + "input": { + "dialogue_history": [ + "Umm where are you from?", + "I'm from Germany.", + "So you speak German, don't you?", + "Yeah, but I can speak English, too.", + "Oh, I see. What other languages can you speak?", + "A little French." + ], + "audio_history": [ + "1930\\0_0_d1930.wav", + "1930\\1_1_d1930.wav", + "1930\\2_0_d1930.wav", + "1930\\3_1_d1930.wav", + "1930\\4_0_d1930.wav", + "1930\\5_1_d1930.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00155", + "input": { + "dialogue_history": [ + "Two number threes, please.", + "All right. What would you like to drink?", + "Diet Coke.", + "Regular or large?", + "Regular, please.", + "OK. Anything else?", + "No, thanks.", + "For here or to go?" + ], + "audio_history": [ + "364\\0_0_d364.wav", + "364\\1_1_d364.wav", + "364\\2_0_d364.wav", + "364\\3_1_d364.wav", + "364\\4_0_d364.wav", + "364\\5_1_d364.wav", + "364\\6_0_d364.wav", + "364\\7_1_d364.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00305", + "input": { + "dialogue_history": [ + "Ladies and gentlemen, now we are in the National Forest Park.", + "What's that?", + "The stone is a prehistoric log. It was turned to stone millions of years ago.", + "Really? It's unbelievable.", + "But it's the truth.", + "Do you have Ginkgo trees here?", + "We don't have them here, I'm afraid. Umm Ginkgo trees grow well only in cold weather.", + "What are these trees opposite to the pine trees?", + "They are poplar trees. They are widely used in our lives." + ], + "audio_history": [ + "1046\\0_0_d1046.wav", + "1046\\1_1_d1046.wav", + "1046\\2_0_d1046.wav", + "1046\\3_1_d1046.wav", + "1046\\4_0_d1046.wav", + "1046\\5_1_d1046.wav", + "1046\\6_0_d1046.wav", + "1046\\7_1_d1046.wav", + "1046\\8_0_d1046.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00025", + "input": { + "dialogue_history": [ + "Excuse me, miss. Could I have something to drink, please?", + "Sure, what would you like?", + "Is it possible to get a beer?", + "Why don\u2019t you have a water or juice instead, so you don\u2019t get dehydrated?" + ], + "audio_history": [ + "1514\\0_0_d1514.wav", + "1514\\1_1_d1514.wav", + "1514\\2_0_d1514.wav", + "1514\\3_1_d1514.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00227", + "input": { + "dialogue_history": [ + "I suppose you like cinematography and costumes and that sort of stuff?", + "Yes, I do. The look of a picture is very important.", + "Umm I think sound is even more important! Guns, bombs, sirens--that's what makes a movie exciting!", + "You wouldn't know a good movie even if it bit you on the nose.", + "In my book, all a good movie needs is a chase scene and lots of things that blow up." + ], + "audio_history": [ + "263\\0_1_d263.wav", + "263\\1_0_d263.wav", + "263\\2_1_d263.wav", + "263\\3_0_d263.wav", + "263\\4_1_d263.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00196", + "input": { + "dialogue_history": [ + "What can I do for you?", + "I need some medicine.", + "For whom?", + "My younger brother. He suffers from a bad cold.", + "What symptoms does he have?", + "Fever and a bad cough.", + "I got it. Don't worry, just a common cold.", + "What kind of medicine does he need?", + "Patulin will do.", + "How many pills for each time?", + "Six per day, and two after each meal.", + "Thank you very much." + ], + "audio_history": [ + "1783\\0_1_d1783.wav", + "1783\\1_0_d1783.wav", + "1783\\2_1_d1783.wav", + "1783\\3_0_d1783.wav", + "1783\\4_1_d1783.wav", + "1783\\5_0_d1783.wav", + "1783\\6_1_d1783.wav", + "1783\\7_0_d1783.wav", + "1783\\8_1_d1783.wav", + "1783\\9_0_d1783.wav", + "1783\\10_1_d1783.wav", + "1783\\11_0_d1783.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00278", + "input": { + "dialogue_history": [ + "Hello. Umm I want to reconfirm our flight to London.", + "Yes, sir. Did you call the airline?", + "Yes, I did. But I couldn't communicate with them in English. They speak only Spanish. So I need your help.", + "Certainly, sir. What is the flight number and when are you leaving?", + "We are taking IB three eighty five to London tomorrow at one p.m." + ], + "audio_history": [ + "1155\\0_0_d1155.wav", + "1155\\1_1_d1155.wav", + "1155\\2_0_d1155.wav", + "1155\\3_1_d1155.wav", + "1155\\4_0_d1155.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + }, + { + "id": "dt_00375", + "input": { + "dialogue_history": [ + "It's getting late, Mary.", + "Maybe I should go home.", + "Why don't you sleep over?", + "Are you sure?", + "Umm we can sleep together.", + "Sounds like a good idea.", + "Don't forget to call your host mother to tell her." + ], + "audio_history": [ + "323\\0_0_d323.wav", + "323\\1_1_d323.wav", + "323\\2_0_d323.wav", + "323\\3_1_d323.wav", + "323\\4_0_d323.wav", + "323\\5_1_d323.wav", + "323\\6_0_d323.wav" + ], + "prompt": "generate audio answer from the given dialogue history: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/EmotionStyleTransfer/annotation.json b/Scope-A/S-A-Quick/audio/generation/EmotionStyleTransfer/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88db7c9445807053072fcc0794829123531faa09 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/EmotionStyleTransfer/annotation.json @@ -0,0 +1,348 @@ +{ + "set_type": "closeset", + "task": "emotional style transfer", + "data_source": "Emotional Speech Dataset (ESD) for Speech Synthesis and Voice Conversion", + "type": "audio generation", + "modality": { + "in": [ + "text", + "emotion", + "audio" + ], + "out": "audio" + }, + "version": "1.0", + "description": "The task is to translate emotional speech from the given text, emotion and reference audio to another emotion. This dataset contains 350 parallel utterances spoken by 10 native Mandarin speakers, and 10 English speakers with 5 emotional states (neutral, happy, angry, sad and surprise)", + "data": [ + { + "id": "est_272", + "input": { + "text": "\u771f\u662f\u4e2a\u597d\u4e60\u60ef\uff0c\u901a\u5e38\u770b\u4e66\u6216\u6d88\u9063\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000815.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u771f\u662f\u4e2a\u597d\u4e60\u60ef\uff0c\u901a\u5e38\u770b\u4e66\u6216\u6d88\u9063\u3002" + }, + "output": {} + }, + { + "id": "est_118", + "input": { + "text": "\u4e5f\u4e0d\u7b97\uff0c\u5979\u6709\u7684\u6b4c\u6211\u90fd\u633a\u559c\u6b22\u7684\uff0c", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u751f\u6c14", + "audio_file": "Surprise\\0002_001610.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4e5f\u4e0d\u7b97\uff0c\u5979\u6709\u7684\u6b4c\u6211\u90fd\u633a\u559c\u6b22\u7684\uff0c" + }, + "output": {} + }, + { + "id": "est_420", + "input": { + "text": "\u522b\u603b\u662f\u95f2\u7740\uff0c\u627e\u70b9\u4e8b\u60c5\u5e72\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001745.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u522b\u603b\u662f\u95f2\u7740\uff0c\u627e\u70b9\u4e8b\u60c5\u5e72\u3002" + }, + "output": {} + }, + { + "id": "est_017", + "input": { + "text": "\u4f60\u6628\u5929\u624d\u4e70\u8863\u670d\uff0c\u771f\u662f\u4e00\u8d2d\u7269\u72c2\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u751f\u6c14", + "audio_file": "Happy\\0002_000904.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4f60\u6628\u5929\u624d\u4e70\u8863\u670d\uff0c\u771f\u662f\u4e00\u8d2d\u7269\u72c2\u3002" + }, + "output": {} + }, + { + "id": "est_077", + "input": { + "text": "\u8c01\u90fd\u6709\u70e6\u7684\u65f6\u5019\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u751f\u6c14", + "audio_file": "Happy\\0002_000968.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8c01\u90fd\u6709\u70e6\u7684\u65f6\u5019\u3002" + }, + "output": {} + }, + { + "id": "est_182", + "input": { + "text": "\u6211\u6ca1\u6709\u5ffd\u60a0\u4f60\uff0c\u673a\u5668\u4eba\u4e0d\u4f1a\u5ffd\u60a0\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u751f\u6c14", + "audio_file": "Surprise\\0002_001654.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u6ca1\u6709\u5ffd\u60a0\u4f60\uff0c\u673a\u5668\u4eba\u4e0d\u4f1a\u5ffd\u60a0\u3002" + }, + "output": {} + }, + { + "id": "est_376", + "input": { + "text": "\u6ca1\u6709\u627e\u5230\u84b8\u9c7c\u7684\u8ba1\u65f6\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001504.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6ca1\u6709\u627e\u5230\u84b8\u9c7c\u7684\u8ba1\u65f6\u3002" + }, + "output": {} + }, + { + "id": "est_165", + "input": { + "text": "\u73b0\u5728\u5168\u57ce\u7684\u4eba\u90fd\u8981\u5411\u6211\u501f\u94b1\u4e86\uff01", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u751f\u6c14", + "audio_file": "Happy\\0002_001014.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u73b0\u5728\u5168\u57ce\u7684\u4eba\u90fd\u8981\u5411\u6211\u501f\u94b1\u4e86\uff01" + }, + "output": {} + }, + { + "id": "est_386", + "input": { + "text": "\u4e2a\u4eba\u6536\u85cf\u5bb6\uff01\u4ed6\u4eec\u80af\u5b9a\u6709\uff0c", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000710.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4e2a\u4eba\u6536\u85cf\u5bb6\uff01\u4ed6\u4eec\u80af\u5b9a\u6709\uff0c" + }, + "output": {} + }, + { + "id": "est_181", + "input": { + "text": "\u4ed6\u597d\u50cf\u662f\u88ab\u4ed6\u5973\u53cb\u7ed9\u7529\u4e86\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000962.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4ed6\u597d\u50cf\u662f\u88ab\u4ed6\u5973\u53cb\u7ed9\u7529\u4e86\u3002" + }, + "output": {} + }, + { + "id": "est_415", + "input": { + "text": "\u8f6f\u59b9\u5b50\u751f\u6c14\u4f1a\u8bf4\uff1a\u8ba8\u538c\uff0c\u4e0d\u7406\u4f60\u5566\u3002", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000536.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8f6f\u59b9\u5b50\u751f\u6c14\u4f1a\u8bf4\uff1a\u8ba8\u538c\uff0c\u4e0d\u7406\u4f60\u5566\u3002" + }, + "output": {} + }, + { + "id": "est_074", + "input": { + "text": "\u6211\u4eec\u60f3\u7b49\u4e00\u4e2a\u5408\u9002\u7684\u65f6\u5019\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001659.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4eec\u60f3\u7b49\u4e00\u4e2a\u5408\u9002\u7684\u65f6\u5019\u3002" + }, + "output": {} + }, + { + "id": "est_114", + "input": { + "text": "\u5973\u5b69\u7684\u5fc3\u601d\u4f60\u522b\u731c\uff0c\u4f46\u662f\u6211\u4e0d\u7528\u731c\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001543.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5973\u5b69\u7684\u5fc3\u601d\u4f60\u522b\u731c\uff0c\u4f46\u662f\u6211\u4e0d\u7528\u731c\u3002" + }, + "output": {} + }, + { + "id": "est_209", + "input": { + "text": "\u5feb\u70b9\u8d77\u5e8a\uff0c\u6211\u5728\u516c\u5bd3\u95e8\u53e3\u7b49\u4f60\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u751f\u6c14", + "audio_file": "Surprise\\0002_001517.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5feb\u70b9\u8d77\u5e8a\uff0c\u6211\u5728\u516c\u5bd3\u95e8\u53e3\u7b49\u4f60\u3002" + }, + "output": {} + }, + { + "id": "est_248", + "input": { + "text": "\u8d3e\u5c3c\u65af\u7a81\u7136\u5174\u594b\u5730\u5927\u53eb\u8d77\u6765\u3002", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000595.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8d3e\u5c3c\u65af\u7a81\u7136\u5174\u594b\u5730\u5927\u53eb\u8d77\u6765\u3002" + }, + "output": {} + }, + { + "id": "est_163", + "input": { + "text": "\u770b\u5440\uff0c\u6211\u4eec\u5dee\u4e0d\u591a\u5c31\u88c5\u9970\u597d\u4e86\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u751f\u6c14", + "audio_file": "Happy\\0002_000780.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u770b\u5440\uff0c\u6211\u4eec\u5dee\u4e0d\u591a\u5c31\u88c5\u9970\u597d\u4e86\u3002" + }, + "output": {} + }, + { + "id": "est_277", + "input": { + "text": "\u665a\u5b89\uff0c\u4e48\u4e48\u54d2\uff0c\u6ee1\u5929\u90fd\u662f\u5c0f\u661f\u661f\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000981.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u665a\u5b89\uff0c\u4e48\u4e48\u54d2\uff0c\u6ee1\u5929\u90fd\u662f\u5c0f\u661f\u661f\u3002" + }, + "output": {} + }, + { + "id": "est_195", + "input": { + "text": "\u5f53\u7136\uff0c\u6211\u7b80\u76f4\u79bb\u5f00\u97f3\u4e50\u5c31\u4e0d\u80fd\u6d3b\uff0c", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001614.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5f53\u7136\uff0c\u6211\u7b80\u76f4\u79bb\u5f00\u97f3\u4e50\u5c31\u4e0d\u80fd\u6d3b\uff0c" + }, + "output": {} + }, + { + "id": "est_229", + "input": { + "text": "\u6211\u4eec\u4e58\u8239\u6f02\u6e38\u4e86\u4e09\u5ce1\uff0c\u771f\u662f\u523a\u6fc0\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u751f\u6c14", + "audio_file": "Surprise\\0002_001405.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4eec\u4e58\u8239\u6f02\u6e38\u4e86\u4e09\u5ce1\uff0c\u771f\u662f\u523a\u6fc0\u3002" + }, + "output": {} + }, + { + "id": "est_002", + "input": { + "text": "\u6211\u7684\u6027\u683c\u5c31\u662f\u51b7\u9759\u5e76\u4e14\u5ba2\u89c2\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000858.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u7684\u6027\u683c\u5c31\u662f\u51b7\u9759\u5e76\u4e14\u5ba2\u89c2\u3002" + }, + "output": {} + }, + { + "id": "est_031", + "input": { + "text": "\u6211\u4eec\u8fd8\u7b49\u4ec0\u4e48", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000503.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4eec\u8fd8\u7b49\u4ec0\u4e48" + }, + "output": {} + }, + { + "id": "est_316", + "input": { + "text": "\u6211\u4eec\u60f3\u7b49\u4e00\u4e2a\u5408\u9002\u7684\u65f6\u5019\u3002", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000609.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4eec\u60f3\u7b49\u4e00\u4e2a\u5408\u9002\u7684\u65f6\u5019\u3002" + }, + "output": {} + }, + { + "id": "est_056", + "input": { + "text": "\u6700\u8fd1\u5f88\u51b7\uff0c\u98ce\u53c8\u5927\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000931.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6700\u8fd1\u5f88\u51b7\uff0c\u98ce\u53c8\u5927\u3002" + }, + "output": {} + }, + { + "id": "est_117", + "input": { + "text": "\u6211\u66fe\u5728\u4e00\u5bb6\u8239\u8fd0\u516c\u53f8\u91cc\u9762\u505a\u8fc7\u516d\u5e74\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Surprise\\0002_001564.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u66fe\u5728\u4e00\u5bb6\u8239\u8fd0\u516c\u53f8\u91cc\u9762\u505a\u8fc7\u516d\u5e74\u3002" + }, + "output": {} + }, + { + "id": "est_358", + "input": { + "text": "\u4e0d\u5c31\u662f\u4f60\u561b\uff0c\u4e3a\u4ec0\u4e48\u8981\u5077\u7b11\u6765\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000719.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4e0d\u5c31\u662f\u4f60\u561b\uff0c\u4e3a\u4ec0\u4e48\u8981\u5077\u7b11\u6765\u3002" + }, + "output": {} + }, + { + "id": "est_479", + "input": { + "text": "\u5de5\u5382\u4e0d\u628a\u5b83\u76f4\u63a5\u6392\u5230\u5927\u6c14\u4e2d\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Happy\\0002_000727.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5de5\u5382\u4e0d\u628a\u5b83\u76f4\u63a5\u6392\u5230\u5927\u6c14\u4e2d\u3002" + }, + "output": {} + }, + { + "id": "est_078", + "input": { + "text": "\u5f88\u53ef\u7231\u554a\uff0c\u5c31\u50cf\u4f60\u4e00\u6837\u3002", + "refer_emotion": "\u5feb\u4e50", + "target_emotion": "\u751f\u6c14", + "audio_file": "Happy\\0002_000729.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5f88\u53ef\u7231\u554a\uff0c\u5c31\u50cf\u4f60\u4e00\u6837\u3002" + }, + "output": {} + }, + { + "id": "est_009", + "input": { + "text": "\u6211\u4eec\u4e0b\u5348\u53ef\u4ee5\u5728\u6e56\u91cc\u5212\u8239\u3002", + "refer_emotion": "\u60ca\u559c", + "target_emotion": "\u751f\u6c14", + "audio_file": "Surprise\\0002_001728.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4eec\u4e0b\u5348\u53ef\u4ee5\u5728\u6e56\u91cc\u5212\u8239\u3002" + }, + "output": {} + }, + { + "id": "est_312", + "input": { + "text": "\u9012\u7ed9\u6211\u4e00\u4e9b\u5f69\u7403\u548c\u7eb8\u82b1\u3002", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000399.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u9012\u7ed9\u6211\u4e00\u4e9b\u5f69\u7403\u548c\u7eb8\u82b1\u3002" + }, + "output": {} + }, + { + "id": "est_089", + "input": { + "text": "\u6211\u4e0d\u7528\u8f6c\u5934\uff0c\u4e0d\u9700\u8981\u8116\u5b50\u3002", + "refer_emotion": "\u751f\u6c14", + "target_emotion": "\u4f24\u5fc3", + "audio_file": "Angry\\0002_000600.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4e0d\u7528\u8f6c\u5934\uff0c\u4e0d\u9700\u8981\u8116\u5b50\u3002" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/EmotionalSpeechSynthesis/annotation.json b/Scope-A/S-A-Quick/audio/generation/EmotionalSpeechSynthesis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5fdf4212d8b72ec49905df74d4d59e14dc44fdc4 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/EmotionalSpeechSynthesis/annotation.json @@ -0,0 +1,318 @@ +{ + "set_type": "closeset", + "task": "emotional speech synthesis", + "data_source": "Emotional Speech Dataset (ESD) for Speech Synthesis and Voice Conversion", + "type": "audio generation", + "modality": { + "in": [ + "text", + "emotion", + "audio" + ], + "out": "audio" + }, + "version": "1.0", + "description": "The task is to generate emotional speech from the given text, emotion and reference audio. This dataset contains 350 parallel utterances spoken by 10 native Mandarin speakers, and 10 English speakers with 5 emotional states (neutral, happy, angry, sad and surprise)", + "data": [ + { + "id": "es_355", + "input": { + "text": "\u4f60\u53ef\u4ee5\u5728\u90a3\u513f\u5446\u4e0a\u81f3\u5c11\u4e00\u6574\u5929\u3002", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000208.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4f60\u53ef\u4ee5\u5728\u90a3\u513f\u5446\u4e0a\u81f3\u5c11\u4e00\u6574\u5929\u3002" + }, + "output": {} + }, + { + "id": "es_388", + "input": { + "text": "\u541d\u556c\u9b3c\uff01\u4ed6\u6bcf\u5929\u8fd8\u9a91\u81ea\u884c\u8f66\u4e0a\u5b66\uff01", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000131.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u541d\u556c\u9b3c\uff01\u4ed6\u6bcf\u5929\u8fd8\u9a91\u81ea\u884c\u8f66\u4e0a\u5b66\uff01" + }, + "output": {} + }, + { + "id": "es_150", + "input": { + "text": "\u4ed6\u4eec\u7684\u914d\u5408\u503c\u5f97\u6211\u4eec\u5b66\u4e60", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000139.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4ed6\u4eec\u7684\u914d\u5408\u503c\u5f97\u6211\u4eec\u5b66\u4e60" + }, + "output": {} + }, + { + "id": "es_017", + "input": { + "text": "\u6ca1\u6709\uff0c\u4e0d\u8fc7\uff0c\u6211\u4eec\u53bb\u4e86\u80af\u5c3c\u8fea\u4e2d\u5fc3\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000116.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6ca1\u6709\uff0c\u4e0d\u8fc7\uff0c\u6211\u4eec\u53bb\u4e86\u80af\u5c3c\u8fea\u4e2d\u5fc3\u3002" + }, + "output": {} + }, + { + "id": "es_163", + "input": { + "text": "\u632f\u4f5c\u70b9\u513f\uff0c\u6211\u770b\u4e86\u5c4f\u5e55\u663e\u793a\uff01", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000293.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u632f\u4f5c\u70b9\u513f\uff0c\u6211\u770b\u4e86\u5c4f\u5e55\u663e\u793a\uff01" + }, + "output": {} + }, + { + "id": "es_447", + "input": { + "text": "\u5982\u679c\u6211\u6eda\u8fdc\u4e86\u5c31\u56de\u4e0d\u6765\u4e86\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000192.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5982\u679c\u6211\u6eda\u8fdc\u4e86\u5c31\u56de\u4e0d\u6765\u4e86\u3002" + }, + "output": {} + }, + { + "id": "es_495", + "input": { + "text": "\u4f60\u4e0d\u5e94\u8be5\u5bb3\u6015\u5f00\u59cb\u4e00\u6bb5\u65b0\u7684\u611f\u60c5\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000052.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4f60\u4e0d\u5e94\u8be5\u5bb3\u6015\u5f00\u59cb\u4e00\u6bb5\u65b0\u7684\u611f\u60c5\u3002" + }, + "output": {} + }, + { + "id": "es_281", + "input": { + "text": "\u8d4c\u535a\u5f80\u5f80\u662f\u4e2a\u7978\u6839\uff0c", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000296.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8d4c\u535a\u5f80\u5f80\u662f\u4e2a\u7978\u6839\uff0c" + }, + "output": {} + }, + { + "id": "es_023", + "input": { + "text": "\u4f46\u6885\u82b1\u5f80\u5f80\u88ab\u5f88\u591a\u4eba\u5ffd\u89c6\u3002", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000273.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4f46\u6885\u82b1\u5f80\u5f80\u88ab\u5f88\u591a\u4eba\u5ffd\u89c6\u3002" + }, + "output": {} + }, + { + "id": "es_442", + "input": { + "text": "\u6700\u8fd1\u5f88\u51b7\uff0c\u98ce\u53c8\u5927\u3002", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000231.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6700\u8fd1\u5f88\u51b7\uff0c\u98ce\u53c8\u5927\u3002" + }, + "output": {} + }, + { + "id": "es_141", + "input": { + "text": "\u8fd8\u6709\u804a\u5929\u8bb0\u5f55\u3002", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000290.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8fd8\u6709\u804a\u5929\u8bb0\u5f55\u3002" + }, + "output": {} + }, + { + "id": "es_124", + "input": { + "text": "\u6211\u80af\u5b9a\u4f1a\u7684\uff0c\u90a3\u4ee5\u540e\u6211\u4e0d\u95ee\u4e86\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000053.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u80af\u5b9a\u4f1a\u7684\uff0c\u90a3\u4ee5\u540e\u6211\u4e0d\u95ee\u4e86\u3002" + }, + "output": {} + }, + { + "id": "es_194", + "input": { + "text": "\u6211\u4e0d\u600e\u4e48\u5728\u4e4e\u8fd9\u4e2a\u5e97\u6709\u6ca1\u6709\u540d\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000248.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4e0d\u600e\u4e48\u5728\u4e4e\u8fd9\u4e2a\u5e97\u6709\u6ca1\u6709\u540d\u3002" + }, + "output": {} + }, + { + "id": "es_228", + "input": { + "text": "\u6240\u4ee5\u4f60\u5fc5\u987b\u8981\u575a\u6301\uff0c\u65f6\u95f4\u8d8a\u957f\u8d8a\u597d\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000220.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6240\u4ee5\u4f60\u5fc5\u987b\u8981\u575a\u6301\uff0c\u65f6\u95f4\u8d8a\u957f\u8d8a\u597d\u3002" + }, + "output": {} + }, + { + "id": "es_244", + "input": { + "text": "\u5e26\u4e0a\u4f60\u7684\u5bb6\u4eba\uff0c\u4f46\u662f\u4ed6\u6709\u4e11\u95fb\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000176.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5e26\u4e0a\u4f60\u7684\u5bb6\u4eba\uff0c\u4f46\u662f\u4ed6\u6709\u4e11\u95fb\u3002" + }, + "output": {} + }, + { + "id": "es_248", + "input": { + "text": "\u8fd9\u4e2a\u4f4d\u7f6e\u4e0d\u9519\uff0c\u4e0b\u8f66\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000229.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u8fd9\u4e2a\u4f4d\u7f6e\u4e0d\u9519\uff0c\u4e0b\u8f66\u3002" + }, + "output": {} + }, + { + "id": "es_016", + "input": { + "text": "\u966a\u4f60\u5ea6\u8fc7\u8fd9\u6f2b\u957f\u7684\u9ed1\u591c\u3002", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000256.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u966a\u4f60\u5ea6\u8fc7\u8fd9\u6f2b\u957f\u7684\u9ed1\u591c\u3002" + }, + "output": {} + }, + { + "id": "es_019", + "input": { + "text": "\u73b0\u5728\u5168\u57ce\u7684\u4eba\u90fd\u8981\u5411\u6211\u501f\u94b1\u4e86\uff01", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000314.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u73b0\u5728\u5168\u57ce\u7684\u4eba\u90fd\u8981\u5411\u6211\u501f\u94b1\u4e86\uff01" + }, + "output": {} + }, + { + "id": "es_414", + "input": { + "text": "\u6211\u559c\u6b22\u5403\u4e2d\u9910\u3002", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000324.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u559c\u6b22\u5403\u4e2d\u9910\u3002" + }, + "output": {} + }, + { + "id": "es_289", + "input": { + "text": "\u6211\u6628\u5929\u9047\u5230\u9a6c\u514b\uff0c\u4ed6\u770b\u8d77\u6765\u5f88\u5fe7\u90c1\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000102.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u6628\u5929\u9047\u5230\u9a6c\u514b\uff0c\u4ed6\u770b\u8d77\u6765\u5f88\u5fe7\u90c1\u3002" + }, + "output": {} + }, + { + "id": "es_314", + "input": { + "text": "\u4ed6\u5728\u8fd9\u6b21\u7ade\u9009\u6d3b\u52a8\u4e2d\u82b1\u4e86\u6570\u767e\u4e07\uff0c", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000174.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4ed6\u5728\u8fd9\u6b21\u7ade\u9009\u6d3b\u52a8\u4e2d\u82b1\u4e86\u6570\u767e\u4e07\uff0c" + }, + "output": {} + }, + { + "id": "es_193", + "input": { + "text": "\u6211\u4e0d\u600e\u4e48\u5728\u4e4e\u8fd9\u4e2a\u5e97\u6709\u6ca1\u6709\u540d\u3002", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000248.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4e0d\u600e\u4e48\u5728\u4e4e\u8fd9\u4e2a\u5e97\u6709\u6ca1\u6709\u540d\u3002" + }, + "output": {} + }, + { + "id": "es_031", + "input": { + "text": "\u6211\u4e5f\u60f3\u53bb\u770b\u53ef\u7231\u7684\u718a\u732b\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000075.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6211\u4e5f\u60f3\u53bb\u770b\u53ef\u7231\u7684\u718a\u732b\u3002" + }, + "output": {} + }, + { + "id": "es_140", + "input": { + "text": "\u7b49\u5f85\u4f60\u7684\u6307\u4ee4\uff0c\u968f\u65f6\u53ef\u4e3a\u4f60\u6548\u52b3\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000322.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u7b49\u5f85\u4f60\u7684\u6307\u4ee4\uff0c\u968f\u65f6\u53ef\u4e3a\u4f60\u6548\u52b3\u3002" + }, + "output": {} + }, + { + "id": "es_321", + "input": { + "text": "\u5f53\u7136\u77e5\u9053\uff0c\u6211\u4eec\u5404\u6709\u5343\u79cb\u3002", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000198.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5f53\u7136\u77e5\u9053\uff0c\u6211\u4eec\u5404\u6709\u5343\u79cb\u3002" + }, + "output": {} + }, + { + "id": "es_229", + "input": { + "text": "\u96ea\u4e0b\u5f97\u771f\u5927\uff0c\u5e26\u7740\u6211\u53bb\u8d2d\u7269\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000237.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u96ea\u4e0b\u5f97\u771f\u5927\uff0c\u5e26\u7740\u6211\u53bb\u8d2d\u7269\u3002" + }, + "output": {} + }, + { + "id": "es_464", + "input": { + "text": "\u6709\u4e8b\u8bb0\u5f97\u558a\u6211\u3002", + "emotion": "\u751f\u6c14", + "audio_file": "Neutral\\0001_000148.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u6709\u4e8b\u8bb0\u5f97\u558a\u6211\u3002" + }, + "output": {} + }, + { + "id": "es_354", + "input": { + "text": "\u5979\u6b64\u523b\u5931\u4e1a\u4e86\uff0c\u4f60\u6700\u597d\u4e0d\u8981\u60f9\u5979\u3002", + "emotion": "\u60ca\u559c", + "audio_file": "Neutral\\0001_000175.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u5979\u6b64\u523b\u5931\u4e1a\u4e86\uff0c\u4f60\u6700\u597d\u4e0d\u8981\u60f9\u5979\u3002" + }, + "output": {} + }, + { + "id": "es_147", + "input": { + "text": "\u662f\u7684\uff0c\u4f60\u662f\u4e2a\u5927\u5757\u5934\uff0c\u6211\u662f\u5b88\u95e8\u5458\u3002", + "emotion": "\u4f24\u5fc3", + "audio_file": "Neutral\\0001_000076.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u662f\u7684\uff0c\u4f60\u662f\u4e2a\u5927\u5757\u5934\uff0c\u6211\u662f\u5b88\u95e8\u5458\u3002" + }, + "output": {} + }, + { + "id": "es_310", + "input": { + "text": "\u4eba\u4eec\u5f53\u7136\u90fd\u53eb\u4ed6\u201c\u5965\u6797\u5339\u514b\u4e4b\u7236\u201d\u3002", + "emotion": "\u5feb\u4e50", + "audio_file": "Neutral\\0001_000079.wav", + "prompt": "generate emotional speech from the given text, emotion and reference neural speech: \u4eba\u4eec\u5f53\u7136\u90fd\u53eb\u4ed6\u201c\u5965\u6797\u5339\u514b\u4e4b\u7236\u201d\u3002" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/ImageToSpeech/annotation.json b/Scope-A/S-A-Quick/audio/generation/ImageToSpeech/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..681486e0fcb51a795d22325801e2ff92a3f0f7c5 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/ImageToSpeech/annotation.json @@ -0,0 +1,176 @@ +{ + "set_type": "closeset", + "task": "image to speech generation", + "data_source": "Flickr8k Audio", + "type": "audio generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "its_253", + "input": { + "image_file": "2837799692_2f1c50722a.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_474", + "input": { + "image_file": "2355093195_87fb7f82cb.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_103", + "input": { + "image_file": "3205336477_037d4b6bd9.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_016", + "input": { + "image_file": "211277478_7d43aaee09.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_146", + "input": { + "image_file": "1262454669_f1caafec2d.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_180", + "input": { + "image_file": "3313232606_4ce7e16b87.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_485", + "input": { + "image_file": "405331006_4e94e07698.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_277", + "input": { + "image_file": "497122685_a51b29dc46.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_335", + "input": { + "image_file": "1389651420_8d95d8f6ed.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_376", + "input": { + "image_file": "2423856014_8df0e7f656.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_334", + "input": { + "image_file": "661757041_61e131e913.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_093", + "input": { + "image_file": "280932151_ae14a67be5.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_219", + "input": { + "image_file": "241031254_0c6f30e3d1.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_079", + "input": { + "image_file": "2508249781_36e9282423.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_365", + "input": { + "image_file": "1295698260_e10c53c137.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_367", + "input": { + "image_file": "2635023078_6dae04758f.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_250", + "input": { + "image_file": "3091594712_2166604334.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_101", + "input": { + "image_file": "3711664623_ef87105ea7.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_352", + "input": { + "image_file": "2423292784_166ee54e0b.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + }, + { + "id": "its_353", + "input": { + "image_file": "95734036_bef6d1a871.jpg", + "prompt": "generate audio from the image:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/MultimodalTTS/annotation.json b/Scope-A/S-A-Quick/audio/generation/MultimodalTTS/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a71bdcdc4e44778258e59d861e68c75eae08c254 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/MultimodalTTS/annotation.json @@ -0,0 +1,286 @@ +{ + "set_type": "closeset", + "task": "multimodal text-to-speech generation", + "data_source": "MEAD-TTS", + "type": "audio generation", + "modality": { + "in": [ + "text", + "image" + ], + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "mtts_00037", + "input": { + "text": "No the man was not drunk he wondered how he got tied up with this stranger.", + "image_file": "M027_surprised_level_3_028/0.jpg", + "prompt": "generate audio from the given reference image and text: No the man was not drunk he wondered how he got tied up with this stranger." + }, + "output": {} + }, + { + "id": "mtts_00158", + "input": { + "text": "Todd placed top priority on getting his bike fixed.", + "image_file": "W026_fear_level_2_039/0.jpg", + "prompt": "generate audio from the given reference image and text: Todd placed top priority on getting his bike fixed." + }, + "output": {} + }, + { + "id": "mtts_00395", + "input": { + "text": "It was not whatever tale was told by tails.", + "image_file": "M034_disgusted_level_3_024/0.jpg", + "prompt": "generate audio from the given reference image and text: It was not whatever tale was told by tails." + }, + "output": {} + }, + { + "id": "mtts_00033", + "input": { + "text": "Don't ask me to carry an oily rag like that.", + "image_file": "M024_disgusted_level_3_029/0.jpg", + "prompt": "generate audio from the given reference image and text: Don't ask me to carry an oily rag like that." + }, + "output": {} + }, + { + "id": "mtts_00185", + "input": { + "text": "No return address whatsoever.", + "image_file": "M041_contempt_level_2_043/0.jpg", + "prompt": "generate audio from the given reference image and text: No return address whatsoever." + }, + "output": {} + }, + { + "id": "mtts_00289", + "input": { + "text": "He didn't figure her at all and if he found out a woman it'd be bad.", + "image_file": "W011_sad_level_1_007/0.jpg", + "prompt": "generate audio from the given reference image and text: He didn't figure her at all and if he found out a woman it'd be bad." + }, + "output": {} + }, + { + "id": "mtts_00338", + "input": { + "text": "Serve the coleslaw after I add the oil.", + "image_file": "M030_happy_level_1_015/0.jpg", + "prompt": "generate audio from the given reference image and text: Serve the coleslaw after I add the oil." + }, + "output": {} + }, + { + "id": "mtts_00493", + "input": { + "text": "There would still be plenty of moments of regret and sadness and guilty relief.", + "image_file": "M012_sad_level_3_008/0.jpg", + "prompt": "generate audio from the given reference image and text: There would still be plenty of moments of regret and sadness and guilty relief." + }, + "output": {} + }, + { + "id": "mtts_00358", + "input": { + "text": "Who authorized the unlimited expense account.", + "image_file": "M023_neutral_level_1_019/0.jpg", + "prompt": "generate audio from the given reference image and text: Who authorized the unlimited expense account." + }, + "output": {} + }, + { + "id": "mtts_00307", + "input": { + "text": "Both the conditions and the complicity are documented in considerable detail.", + "image_file": "M028_happy_level_1_020/0.jpg", + "prompt": "generate audio from the given reference image and text: Both the conditions and the complicity are documented in considerable detail." + }, + "output": {} + }, + { + "id": "mtts_00274", + "input": { + "text": "She had your dark suit in greasy wash water all year.", + "image_file": "W024_contempt_level_1_001/0.jpg", + "prompt": "generate audio from the given reference image and text: She had your dark suit in greasy wash water all year." + }, + "output": {} + }, + { + "id": "mtts_00016", + "input": { + "text": "That diagram makes sense only after much study.", + "image_file": "W035_fear_level_2_023/0.jpg", + "prompt": "generate audio from the given reference image and text: That diagram makes sense only after much study." + }, + "output": {} + }, + { + "id": "mtts_00438", + "input": { + "text": "He further proposed grants of an unspecified sum for experimental Hospitals.", + "image_file": "W014_surprised_level_3_020/0.jpg", + "prompt": "generate audio from the given reference image and text: He further proposed grants of an unspecified sum for experimental Hospitals." + }, + "output": {} + }, + { + "id": "mtts_00148", + "input": { + "text": "One even gave my little dog a biscuit.", + "image_file": "M025_contempt_level_1_021/0.jpg", + "prompt": "generate audio from the given reference image and text: One even gave my little dog a biscuit." + }, + "output": {} + }, + { + "id": "mtts_00118", + "input": { + "text": "Mosquitoes exist in warm humid climates.", + "image_file": "M029_contempt_level_3_016/0.jpg", + "prompt": "generate audio from the given reference image and text: Mosquitoes exist in warm humid climates." + }, + "output": {} + }, + { + "id": "mtts_00404", + "input": { + "text": "Call an ambulance for medical assistance.", + "image_file": "W024_fear_level_1_007/0.jpg", + "prompt": "generate audio from the given reference image and text: Call an ambulance for medical assistance." + }, + "output": {} + }, + { + "id": "mtts_00117", + "input": { + "text": "The plaintiff in school desegregation cases.", + "image_file": "M029_happy_level_1_025/0.jpg", + "prompt": "generate audio from the given reference image and text: The plaintiff in school desegregation cases." + }, + "output": {} + }, + { + "id": "mtts_00063", + "input": { + "text": "Both the conditions and the complicity are documented in considerable detail.", + "image_file": "W026_happy_level_3_039/0.jpg", + "prompt": "generate audio from the given reference image and text: Both the conditions and the complicity are documented in considerable detail." + }, + "output": {} + }, + { + "id": "mtts_00281", + "input": { + "text": "Their props were two stepladders a chair and a palm fan.", + "image_file": "M012_fear_level_1_016/0.jpg", + "prompt": "generate audio from the given reference image and text: Their props were two stepladders a chair and a palm fan." + }, + "output": {} + }, + { + "id": "mtts_00475", + "input": { + "text": "A few years later the dome fell in.", + "image_file": "W036_angry_level_3_031/0.jpg", + "prompt": "generate audio from the given reference image and text: A few years later the dome fell in." + }, + "output": {} + }, + { + "id": "mtts_00084", + "input": { + "text": "He stole a dime from a beggar.", + "image_file": "M041_contempt_level_2_011/0.jpg", + "prompt": "generate audio from the given reference image and text: He stole a dime from a beggar." + }, + "output": {} + }, + { + "id": "mtts_00461", + "input": { + "text": "The plaintiff in school desegregation cases.", + "image_file": "W018_happy_level_1_025/0.jpg", + "prompt": "generate audio from the given reference image and text: The plaintiff in school desegregation cases." + }, + "output": {} + }, + { + "id": "mtts_00382", + "input": { + "text": "The revolution now under way in materials handling makes this much easier.", + "image_file": "M009_fear_level_1_030/0.jpg", + "prompt": "generate audio from the given reference image and text: The revolution now under way in materials handling makes this much easier." + }, + "output": {} + }, + { + "id": "mtts_00002", + "input": { + "text": "It is one of the rare public ventures here on which nearly everyone is agreed.", + "image_file": "M032_sad_level_3_019/0.jpg", + "prompt": "generate audio from the given reference image and text: It is one of the rare public ventures here on which nearly everyone is agreed." + }, + "output": {} + }, + { + "id": "mtts_00495", + "input": { + "text": "His superiors had also preached this saying it was the way for eternal honor.", + "image_file": "W018_contempt_level_3_025/0.jpg", + "prompt": "generate audio from the given reference image and text: His superiors had also preached this saying it was the way for eternal honor." + }, + "output": {} + }, + { + "id": "mtts_00172", + "input": { + "text": "His superiors had also preached this saying it was the way for eternal honor.", + "image_file": "M041_surprised_level_3_051/0.jpg", + "prompt": "generate audio from the given reference image and text: His superiors had also preached this saying it was the way for eternal honor." + }, + "output": {} + }, + { + "id": "mtts_00193", + "input": { + "text": "She had your dark suit in greasy wash water all year.", + "image_file": "M011_fear_level_1_001/0.jpg", + "prompt": "generate audio from the given reference image and text: She had your dark suit in greasy wash water all year." + }, + "output": {} + }, + { + "id": "mtts_00479", + "input": { + "text": "His shoulder felt as if it were broken.", + "image_file": "M029_fear_level_2_009/0.jpg", + "prompt": "generate audio from the given reference image and text: His shoulder felt as if it were broken." + }, + "output": {} + }, + { + "id": "mtts_00234", + "input": { + "text": "The revolution now under way in materials handling makes this much easier.", + "image_file": "W019_happy_level_2_030/0.jpg", + "prompt": "generate audio from the given reference image and text: The revolution now under way in materials handling makes this much easier." + }, + "output": {} + }, + { + "id": "mtts_00228", + "input": { + "text": "The revolution now under way in materials handling makes this much easier.", + "image_file": "M039_surprised_level_3_058/0.jpg", + "prompt": "generate audio from the given reference image and text: The revolution now under way in materials handling makes this much easier." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/MusicStyleTransfer/annotation.json b/Scope-A/S-A-Quick/audio/generation/MusicStyleTransfer/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..61554f43b8df210f7184e005e62025ed1bba749e --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/MusicStyleTransfer/annotation.json @@ -0,0 +1,198 @@ +{ + "set_type": "closeset", + "task": "music style transfer", + "data_source": "musicTI_dataset", + "type": "audio generation", + "modality": { + "in": [ + "audio", + "audio", + "text" + ], + "out": "audio" + }, + "version": "1.0", + "description": "The task is to generate music style from the given content and style audio file. The evaluation is performed to compute the CLAP cosine similarity between the generated mel-spectrograms and the content mel-spectrograms to evaluate content preservation. Additionally, we calculate the CLAP cosine similarity between the generated melspectrograms and the corresponding textual description ofthe style to evaluate style fit.", + "data": [ + { + "id": "mst_163", + "input": { + "content_audio_file": "content\\relax\\relax5.wav", + "style_audio_file": "timbre\\harmonica\\harmonica2.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_113", + "input": { + "content_audio_file": "content\\adventure\\adventure1.wav", + "style_audio_file": "timbre\\harmonica\\harmonica2.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_262", + "input": { + "content_audio_file": "content\\relax\\relax11.wav", + "style_audio_file": "timbre\\church_bell\\church_bell5.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_210", + "input": { + "content_audio_file": "content\\adventure\\adventure19.wav", + "style_audio_file": "timbre\\snow\\snow2.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_388", + "input": { + "content_audio_file": "content\\adventure\\adventure22.wav", + "style_audio_file": "timbre\\step_water\\step_water6.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_078", + "input": { + "content_audio_file": "content\\whistle\\whistle20.wav", + "style_audio_file": "timbre\\step_water\\step_water8.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_450", + "input": { + "content_audio_file": "content\\village\\village13.wav", + "style_audio_file": "timbre\\harmonica\\harmonica2.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_384", + "input": { + "content_audio_file": "content\\piano\\piano1.wav", + "style_audio_file": "timbre\\step_water\\step_water3.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_209", + "input": { + "content_audio_file": "content\\sad_violin\\sad_violin11.wav", + "style_audio_file": "timbre\\erhu\\erhu1.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_494", + "input": { + "content_audio_file": "content\\color\\color7.wav", + "style_audio_file": "timbre\\step_water\\step_water1.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_438", + "input": { + "content_audio_file": "content\\sad_violin\\sad_violin11.wav", + "style_audio_file": "timbre\\accordion\\accordion10.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_298", + "input": { + "content_audio_file": "content\\village\\village8.wav", + "style_audio_file": "timbre\\step_water\\step_water1.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_155", + "input": { + "content_audio_file": "content\\color\\color9.wav", + "style_audio_file": "timbre\\erhu\\erhu7.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_116", + "input": { + "content_audio_file": "content\\color\\color15.wav", + "style_audio_file": "timbre\\erhu\\erhu6.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_068", + "input": { + "content_audio_file": "content\\whistle\\whistle7.wav", + "style_audio_file": "timbre\\erhu\\erhu5.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_271", + "input": { + "content_audio_file": "content\\sad_violin\\sad_violin6.wav", + "style_audio_file": "timbre\\accordion\\accordion4.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_444", + "input": { + "content_audio_file": "content\\whistle\\whistle16.wav", + "style_audio_file": "timbre\\accordion\\accordion13.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_334", + "input": { + "content_audio_file": "content\\sad_violin\\sad_violin18.wav", + "style_audio_file": "timbre\\harp\\harp2.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_277", + "input": { + "content_audio_file": "content\\village\\village12.wav", + "style_audio_file": "timbre\\drinkglass\\drinkglass4.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + }, + { + "id": "mst_281", + "input": { + "content_audio_file": "content\\village\\village13.wav", + "style_audio_file": "timbre\\accordion\\accordion8.wav", + "prompt": "generate music style from the given audio file: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/PianoToOrchestrationGeneration/annotation.json b/Scope-A/S-A-Quick/audio/generation/PianoToOrchestrationGeneration/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4aaf49fc42de93401ca82845d8f2d9d8a2bbac29 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/PianoToOrchestrationGeneration/annotation.json @@ -0,0 +1,173 @@ +{ + "set_type": "closeset", + "task": "piano to orchestration", + "data_source": "LOP_database_06_09_17", + "type": "audio generation", + "modality": { + "in": "midi", + "out": "midi" + }, + "version": "1.0", + "data": [ + { + "id": "pto_232", + "input": { + "feat_file": "imslp\\68\\Suite in E major, HWV 430 (12)_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_341", + "input": { + "feat_file": "imslp\\34\\Toccata and Fugue in D minor_chamber_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_084", + "input": { + "feat_file": "imslp\\25\\Vom Himmel Hoch, LV 51 (6)_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_016", + "input": { + "feat_file": "imslp\\77\\Bransle de la Royne, TMA 17 (2)_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_347", + "input": { + "feat_file": "liszt_classical_archives\\8\\symphony_5_1_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_006", + "input": { + "feat_file": "hand_picked_Spotify\\8\\Autumn-piano-arrangement_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_153", + "input": { + "feat_file": "hand_picked_Spotify\\15\\mendelssohn-wedding-march_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_118", + "input": { + "feat_file": "bouliane\\1\\Schumann_AlbumJung_1(20 mesx4)_OrcBouliane_WW+piano_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_025", + "input": { + "feat_file": "bouliane\\23\\Ravel_MereL'oye_Pavane(20 mes)_ORCH+piano_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_148", + "input": { + "feat_file": "imslp\\77\\Bransle de la Royne II_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_296", + "input": { + "feat_file": "bouliane\\8\\Brahms_Symph3_iii(1-53)_ORCH+REDUC+sketch+piano_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_177", + "input": { + "feat_file": "hand_picked_Spotify\\24\\nocturnes_3_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_116", + "input": { + "feat_file": "liszt_classical_archives\\14\\beet6345_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_320", + "input": { + "feat_file": "bouliane\\19\\Brahms_Hung_Dance 1(1-72)_ORCH+pianos4h_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_155", + "input": { + "feat_file": "hand_picked_Spotify\\6\\mozart-piano-concerto-21-2-elvira-madigan-piano-solo_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_125", + "input": { + "feat_file": "hand_picked_Spotify\\2\\symphony_9_2_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_255", + "input": { + "feat_file": "bouliane\\12\\Debussy_La Mer_i(122-141)_ORCH+REDUC_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_077", + "input": { + "feat_file": "imslp\\59\\David et Jonathas, H.490 (30)_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_145", + "input": { + "feat_file": "imslp\\55\\Ave verum corpus, K.618 (12)_solo.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + }, + { + "id": "pto_033", + "input": { + "feat_file": "hand_picked_Spotify\\54\\swan_lake_23_orch.csv", + "prompt": "generate orchestration from the given piano midi file: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/PopMusicGeneration/annotation.json b/Scope-A/S-A-Quick/audio/generation/PopMusicGeneration/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6ba13c1d318f3727e1769b4c41321af211cfecb9 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/PopMusicGeneration/annotation.json @@ -0,0 +1,293 @@ +{ + "set_type": "closeset", + "task": "pop music generation", + "data_source": "POP909", + "type": "audio generation", + "modality": { + "in": "midi", + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "pmg_00247", + "input": { + "midi_file": [ + "126\\beat_audio.txt", + "126\\beat_midi.txt", + "126\\chord_audio.txt", + "126\\chord_midi.txt", + "126\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00185", + "input": { + "midi_file": [ + "384\\beat_audio.txt", + "384\\beat_midi.txt", + "384\\chord_audio.txt", + "384\\chord_midi.txt", + "384\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00223", + "input": { + "midi_file": [ + "798\\beat_audio.txt", + "798\\beat_midi.txt", + "798\\chord_audio.txt", + "798\\chord_midi.txt", + "798\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00376", + "input": { + "midi_file": [ + "682\\beat_audio.txt", + "682\\beat_midi.txt", + "682\\chord_audio.txt", + "682\\chord_midi.txt", + "682\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00019", + "input": { + "midi_file": [ + "626\\beat_audio.txt", + "626\\beat_midi.txt", + "626\\chord_audio.txt", + "626\\chord_midi.txt", + "626\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00158", + "input": { + "midi_file": [ + "144\\beat_audio.txt", + "144\\beat_midi.txt", + "144\\chord_audio.txt", + "144\\chord_midi.txt", + "144\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00395", + "input": { + "midi_file": [ + "043\\beat_audio.txt", + "043\\beat_midi.txt", + "043\\chord_audio.txt", + "043\\chord_midi.txt", + "043\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00356", + "input": { + "midi_file": [ + "588\\beat_audio.txt", + "588\\beat_midi.txt", + "588\\chord_audio.txt", + "588\\chord_midi.txt", + "588\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00152", + "input": { + "midi_file": [ + "329\\beat_audio.txt", + "329\\beat_midi.txt", + "329\\chord_audio.txt", + "329\\chord_midi.txt", + "329\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00137", + "input": { + "midi_file": [ + "835\\beat_audio.txt", + "835\\beat_midi.txt", + "835\\chord_audio.txt", + "835\\chord_midi.txt", + "835\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00177", + "input": { + "midi_file": [ + "112\\beat_audio.txt", + "112\\beat_midi.txt", + "112\\chord_audio.txt", + "112\\chord_midi.txt", + "112\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00470", + "input": { + "midi_file": [ + "725\\beat_audio.txt", + "725\\beat_midi.txt", + "725\\chord_audio.txt", + "725\\chord_midi.txt", + "725\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00075", + "input": { + "midi_file": [ + "002\\beat_audio.txt", + "002\\beat_midi.txt", + "002\\chord_audio.txt", + "002\\chord_midi.txt", + "002\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00193", + "input": { + "midi_file": [ + "842\\beat_audio.txt", + "842\\beat_midi.txt", + "842\\chord_audio.txt", + "842\\chord_midi.txt", + "842\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00294", + "input": { + "midi_file": [ + "328\\beat_audio.txt", + "328\\beat_midi.txt", + "328\\chord_audio.txt", + "328\\chord_midi.txt", + "328\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00069", + "input": { + "midi_file": [ + "227\\beat_audio.txt", + "227\\beat_midi.txt", + "227\\chord_audio.txt", + "227\\chord_midi.txt", + "227\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00404", + "input": { + "midi_file": [ + "673\\beat_audio.txt", + "673\\beat_midi.txt", + "673\\chord_audio.txt", + "673\\chord_midi.txt", + "673\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00033", + "input": { + "midi_file": [ + "087\\beat_audio.txt", + "087\\beat_midi.txt", + "087\\chord_audio.txt", + "087\\chord_midi.txt", + "087\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00407", + "input": { + "midi_file": [ + "470\\beat_audio.txt", + "470\\beat_midi.txt", + "470\\chord_audio.txt", + "470\\chord_midi.txt", + "470\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + }, + { + "id": "pmg_00220", + "input": { + "midi_file": [ + "297\\beat_audio.txt", + "297\\beat_midi.txt", + "297\\chord_audio.txt", + "297\\chord_midi.txt", + "297\\key_audio.txt" + ], + "prompt": "generate audio from the given midi file: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SingingVoiceSynthesis/annotation.json b/Scope-A/S-A-Quick/audio/generation/SingingVoiceSynthesis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a77bb03772a4c6c348c80fbfdb223f573588ff8b --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SingingVoiceSynthesis/annotation.json @@ -0,0 +1,107 @@ +{ + "set_type": "closeset", + "task": "singing voice synthesis", + "data_source": "SingingVoiceSynthesis", + "type": "audio generation", + "modality": { + "in": [ + "text", + "midi" + ], + "out": "audio" + }, + "version": "1.0", + "description": "Singing voice synthesis (SVS) aims to synthesize natural and expressive singing voice from musical score", + "data": [ + { + "id": "svs_01119", + "input": { + "text": "Alto-2#\u795d\u661f\\0007.TextGrid", + "midi_file": "Alto-2#\u795d\u661f\\0007.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_00711", + "input": { + "text": "Alto-2#\u523b\u5728\u6211\u5fc3\u5e95\u7684\u540d\u5b57\\0031.TextGrid", + "midi_file": "Alto-2#\u523b\u5728\u6211\u5fc3\u5e95\u7684\u540d\u5b57\\0031.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_03848", + "input": { + "text": "Alto-5#\u6c38\u4e0d\u5931\u8054\u7684\u7231\\0020.TextGrid", + "midi_file": "Alto-5#\u6c38\u4e0d\u5931\u8054\u7684\u7231\\0020.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_08963", + "input": { + "text": "Bass-1#\u8001\u7537\u5b692\\0010.TextGrid", + "midi_file": "Bass-1#\u8001\u7537\u5b692\\0010.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_17922", + "input": { + "text": "Tenor-5#\u65f6\u95f4\u716e\u96e8\\0003.TextGrid", + "midi_file": "Tenor-5#\u65f6\u95f4\u716e\u96e8\\0003.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_01206", + "input": { + "text": "Alto-2#\u8d70\u9a6c\\0027.TextGrid", + "midi_file": "Alto-2#\u8d70\u9a6c\\0027.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_14600", + "input": { + "text": "Tenor-1#\u5c0f\u9152\u7a9d\\0014.TextGrid", + "midi_file": "Tenor-1#\u5c0f\u9152\u7a9d\\0014.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_01032", + "input": { + "text": "Alto-2#\u67e0\u6aac\u8349\u7684\u5473\u9053\\0013.TextGrid", + "midi_file": "Alto-2#\u67e0\u6aac\u8349\u7684\u5473\u9053\\0013.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_18243", + "input": { + "text": "Tenor-5#\u7ea2\u8272\u9ad8\u8ddf\u978b\\0017.TextGrid", + "midi_file": "Tenor-5#\u7ea2\u8272\u9ad8\u8ddf\u978b\\0017.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + }, + { + "id": "svs_18849", + "input": { + "text": "Tenor-6#\u6211\u6700\u4eb2\u7231\u7684\\0011.TextGrid", + "midi_file": "Tenor-6#\u6211\u6700\u4eb2\u7231\u7684\\0011.mid", + "prompt": "generate singing voice from the given midi file: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SingleCaptionToAudio/annotation.json b/Scope-A/S-A-Quick/audio/generation/SingleCaptionToAudio/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..09f61258bc2a14941744355e1d0df0dc64945a91 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SingleCaptionToAudio/annotation.json @@ -0,0 +1,253 @@ +{ + "set_type": "closeset", + "task": "text to audio generation", + "data_source": "AudioCaps", + "type": "audio generation", + "modality": { + "in": "text", + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "scta_287", + "input": { + "text": "Some rustling with distant birds chirping and wind blowing", + "prompt": "generate audio from the given caption: Some rustling with distant birds chirping and wind blowing" + }, + "output": {} + }, + { + "id": "scta_229", + "input": { + "text": "A motorboat engine running as water splashes and a man shouts followed by birds chirping in the bsctakground", + "prompt": "generate audio from the given caption: A motorboat engine running as water splashes and a man shouts followed by birds chirping in the bsctakground" + }, + "output": {} + }, + { + "id": "scta_483", + "input": { + "text": "Rattling is followed by pigeon wing flapping and vocalization", + "prompt": "generate audio from the given caption: Rattling is followed by pigeon wing flapping and vocalization" + }, + "output": {} + }, + { + "id": "scta_184", + "input": { + "text": "An engine running and a female speaking", + "prompt": "generate audio from the given caption: An engine running and a female speaking" + }, + "output": {} + }, + { + "id": "scta_329", + "input": { + "text": "Man speaking and clinking dishes", + "prompt": "generate audio from the given caption: Man speaking and clinking dishes" + }, + "output": {} + }, + { + "id": "scta_131", + "input": { + "text": "A woman is speaking as surfsctae is scratched followed by ticktock sounds", + "prompt": "generate audio from the given caption: A woman is speaking as surfsctae is scratched followed by ticktock sounds" + }, + "output": {} + }, + { + "id": "scta_465", + "input": { + "text": "A large motor is running smoothly, water is splashing, people are talking in the bsctakground, and an adult male speaks in the distance", + "prompt": "generate audio from the given caption: A large motor is running smoothly, water is splashing, people are talking in the bsctakground, and an adult male speaks in the distance" + }, + "output": {} + }, + { + "id": "scta_076", + "input": { + "text": "A whooshing noise followed by an explosion", + "prompt": "generate audio from the given caption: A whooshing noise followed by an explosion" + }, + "output": {} + }, + { + "id": "scta_453", + "input": { + "text": "Music plays as a woman speaks while a frog croaks followed by girl and boy speaking", + "prompt": "generate audio from the given caption: Music plays as a woman speaks while a frog croaks followed by girl and boy speaking" + }, + "output": {} + }, + { + "id": "scta_218", + "input": { + "text": "A baby is crying and a person sneezes then another person speaks", + "prompt": "generate audio from the given caption: A baby is crying and a person sneezes then another person speaks" + }, + "output": {} + }, + { + "id": "scta_272", + "input": { + "text": "Wind blows hard and a motor hums in the distance", + "prompt": "generate audio from the given caption: Wind blows hard and a motor hums in the distance" + }, + "output": {} + }, + { + "id": "scta_238", + "input": { + "text": "A speedboat is traveling sctaross water followed by strong wind noise", + "prompt": "generate audio from the given caption: A speedboat is traveling sctaross water followed by strong wind noise" + }, + "output": {} + }, + { + "id": "scta_220", + "input": { + "text": "A man talking and metal clanking as food and oil sizzle", + "prompt": "generate audio from the given caption: A man talking and metal clanking as food and oil sizzle" + }, + "output": {} + }, + { + "id": "scta_195", + "input": { + "text": "A young boy talking", + "prompt": "generate audio from the given caption: A young boy talking" + }, + "output": {} + }, + { + "id": "scta_489", + "input": { + "text": "Rustling with woman speaking and a baby crying", + "prompt": "generate audio from the given caption: Rustling with woman speaking and a baby crying" + }, + "output": {} + }, + { + "id": "scta_301", + "input": { + "text": "A train horn goes off loudly", + "prompt": "generate audio from the given caption: A train horn goes off loudly" + }, + "output": {} + }, + { + "id": "scta_439", + "input": { + "text": "A man talking as metal clsctaks followed by metal scrapping against a metal surfsctae", + "prompt": "generate audio from the given caption: A man talking as metal clsctaks followed by metal scrapping against a metal surfsctae" + }, + "output": {} + }, + { + "id": "scta_417", + "input": { + "text": "A goat vocalizing softly and then screaming loudly", + "prompt": "generate audio from the given caption: A goat vocalizing softly and then screaming loudly" + }, + "output": {} + }, + { + "id": "scta_069", + "input": { + "text": "A small vehicle engine is running and an adult male speaks in the bsctakground", + "prompt": "generate audio from the given caption: A small vehicle engine is running and an adult male speaks in the bsctakground" + }, + "output": {} + }, + { + "id": "scta_317", + "input": { + "text": "A dog barks and rustles with some clicking", + "prompt": "generate audio from the given caption: A dog barks and rustles with some clicking" + }, + "output": {} + }, + { + "id": "scta_296", + "input": { + "text": "Mechanical humming followed by a click and a toilet flushing", + "prompt": "generate audio from the given caption: Mechanical humming followed by a click and a toilet flushing" + }, + "output": {} + }, + { + "id": "scta_455", + "input": { + "text": "A hissing sound followed by laughter", + "prompt": "generate audio from the given caption: A hissing sound followed by laughter" + }, + "output": {} + }, + { + "id": "scta_038", + "input": { + "text": "A car engine clicks and whines as it tries to start", + "prompt": "generate audio from the given caption: A car engine clicks and whines as it tries to start" + }, + "output": {} + }, + { + "id": "scta_045", + "input": { + "text": "Continuous rainfall", + "prompt": "generate audio from the given caption: Continuous rainfall" + }, + "output": {} + }, + { + "id": "scta_039", + "input": { + "text": "An aircraft engine is running smoothly and consistently", + "prompt": "generate audio from the given caption: An aircraft engine is running smoothly and consistently" + }, + "output": {} + }, + { + "id": "scta_173", + "input": { + "text": "Men speaking with insects buzzing", + "prompt": "generate audio from the given caption: Men speaking with insects buzzing" + }, + "output": {} + }, + { + "id": "scta_179", + "input": { + "text": "Subway horn blows followed by the sound traveling down the rails", + "prompt": "generate audio from the given caption: Subway horn blows followed by the sound traveling down the rails" + }, + "output": {} + }, + { + "id": "scta_096", + "input": { + "text": "A man speaking through a radio as a truck engine runs idle and a vehicle sctacelerates in the distance", + "prompt": "generate audio from the given caption: A man speaking through a radio as a truck engine runs idle and a vehicle sctacelerates in the distance" + }, + "output": {} + }, + { + "id": "scta_056", + "input": { + "text": "Rain falling outside", + "prompt": "generate audio from the given caption: Rain falling outside" + }, + "output": {} + }, + { + "id": "scta_351", + "input": { + "text": "A sewing msctahine running briefly", + "prompt": "generate audio from the given caption: A sewing msctahine running briefly" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SongGeneration/annotation.json b/Scope-A/S-A-Quick/audio/generation/SongGeneration/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1ff37a3bdf13fd5cd589f3c1bc3db116e54b053a --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SongGeneration/annotation.json @@ -0,0 +1,274 @@ +{ + "set_type": "closeset", + "task": "song generation", + "data_source": "SongDescriberDataset", + "type": "audio generation", + "modality": { + "in": "text", + "out": "audio" + }, + "version": "1.0", + "description": "we only use the small version with two-minute audio clips", + "data": [ + { + "id": "sg_177", + "input": { + "duration": 210.2, + "caption_id": 169, + "track_id": 1078392, + "artist_id": 343767, + "album_id": 128427, + "text": "A melodic acoustic pop/rock track with a male lead singer, guitar, drums and background vocals.", + "prompt": "generate song from the given description: A melodic acoustic pop/rock track with a male lead singer, guitar, drums and background vocals." + }, + "output": {} + }, + { + "id": "sg_453", + "input": { + "duration": 571.1, + "caption_id": 950, + "track_id": 359655, + "artist_id": 347016, + "album_id": 46718, + "text": "A joyful classical track performed on a grand piano.", + "prompt": "generate song from the given description: A joyful classical track performed on a grand piano." + }, + "output": {} + }, + { + "id": "sg_123", + "input": { + "duration": 322.9, + "caption_id": 61, + "track_id": 40279, + "artist_id": 5678, + "album_id": 4956, + "text": "A track with a funky bassline and distorted lead synths that feels very chaotic and busy.", + "prompt": "generate song from the given description: A track with a funky bassline and distorted lead synths that feels very chaotic and busy." + }, + "output": {} + }, + { + "id": "sg_184", + "input": { + "duration": 162.7, + "caption_id": 17, + "track_id": 1097943, + "artist_id": 7063, + "album_id": 130945, + "text": "Pop song which could be potentially an ear-worm or a summer hit.", + "prompt": "generate song from the given description: Pop song which could be potentially an ear-worm or a summer hit." + }, + "output": {} + }, + { + "id": "sg_291", + "input": { + "duration": 271.1, + "caption_id": 1105, + "track_id": 1180601, + "artist_id": 7349, + "album_id": 142065, + "text": "Pretty simple but effective, starts of simple but later when the beats kick in makes head bob,", + "prompt": "generate song from the given description: Pretty simple but effective, starts of simple but later when the beats kick in makes head bob," + }, + "output": {} + }, + { + "id": "sg_376", + "input": { + "duration": 65.5, + "caption_id": 143, + "track_id": 352685, + "artist_id": 350716, + "album_id": 46157, + "text": "A peaceful piano piece for relaxing by the fireplace.", + "prompt": "generate song from the given description: A peaceful piano piece for relaxing by the fireplace." + }, + "output": {} + }, + { + "id": "sg_299", + "input": { + "duration": 337.4, + "caption_id": 54, + "track_id": 33836, + "artist_id": 4488, + "album_id": 4157, + "text": "the first few seconds give off a mystic feeling with the chimes and the intermittent bass. The synth starts strong then recedes into the background. Overall, the highly reverberated and delayed flutes, percussions and chimes give the track almost an ethnic vibe. Halfway through, the track picks up with hi-hats and feels less mystical - more upbeat.", + "prompt": "generate song from the given description: the first few seconds give off a mystic feeling with the chimes and the intermittent bass. The synth starts strong then recedes into the background. Overall, the highly reverberated and delayed flutes, percussions and chimes give the track almost an ethnic vibe. Halfway through, the track picks up with hi-hats and feels less mystical - more upbeat." + }, + "output": {} + }, + { + "id": "sg_117", + "input": { + "duration": 120.2, + "caption_id": 573, + "track_id": 415590, + "artist_id": 353120, + "album_id": 51331, + "text": "Ambient music with acoustic drums and chilling vibe.", + "prompt": "generate song from the given description: Ambient music with acoustic drums and chilling vibe." + }, + "output": {} + }, + { + "id": "sg_246", + "input": { + "duration": 124.1, + "caption_id": 640, + "track_id": 1294750, + "artist_id": 7063, + "album_id": 154152, + "text": "Poppy rock track that features an energetic drum and smooth male vocals reminds of 2000's rock anthems.", + "prompt": "generate song from the given description: Poppy rock track that features an energetic drum and smooth male vocals reminds of 2000's rock anthems." + }, + "output": {} + }, + { + "id": "sg_255", + "input": { + "duration": 182.0, + "caption_id": 925, + "track_id": 945197, + "artist_id": 421686, + "album_id": 111017, + "text": "This track will remind you to the techno trance peak era.", + "prompt": "generate song from the given description: This track will remind you to the techno trance peak era." + }, + "output": {} + }, + { + "id": "sg_219", + "input": { + "duration": 120.4, + "caption_id": 107, + "track_id": 11841, + "artist_id": 1780, + "album_id": 1749, + "text": "Slow-paced guitar ballad with clean guitar solos interspersed throughout the composition", + "prompt": "generate song from the given description: Slow-paced guitar ballad with clean guitar solos interspersed throughout the composition" + }, + "output": {} + }, + { + "id": "sg_331", + "input": { + "duration": 306.9, + "caption_id": 796, + "track_id": 43990, + "artist_id": 6079, + "album_id": 5295, + "text": "a late-night calm campfire song by a singer guitarist later backed up by a tambourine", + "prompt": "generate song from the given description: a late-night calm campfire song by a singer guitarist later backed up by a tambourine" + }, + "output": {} + }, + { + "id": "sg_055", + "input": { + "duration": 195.2, + "caption_id": 113, + "track_id": 357330, + "artist_id": 350883, + "album_id": 46522, + "text": "Busy traditional Latin-American samba with accordions and trumpets, sung by a male vocalist, making you want to dance at the carnival in Rio.", + "prompt": "generate song from the given description: Busy traditional Latin-American samba with accordions and trumpets, sung by a male vocalist, making you want to dance at the carnival in Rio." + }, + "output": {} + }, + { + "id": "sg_318", + "input": { + "duration": 219.4, + "caption_id": 456, + "track_id": 945196, + "artist_id": 421686, + "album_id": 111017, + "text": "This is a dance electronic track, with piano, synth, and steady and repetitive drum beats, inspired by Avicii and such. The song is happy with an upbeat mood", + "prompt": "generate song from the given description: This is a dance electronic track, with piano, synth, and steady and repetitive drum beats, inspired by Avicii and such. The song is happy with an upbeat mood" + }, + "output": {} + }, + { + "id": "sg_096", + "input": { + "duration": 204.0, + "caption_id": 173, + "track_id": 457119, + "artist_id": 345952, + "album_id": 54604, + "text": "Happy swinging cabaret jazz track with female vocals, piano, brass and bass.", + "prompt": "generate song from the given description: Happy swinging cabaret jazz track with female vocals, piano, brass and bass." + }, + "output": {} + }, + { + "id": "sg_438", + "input": { + "duration": 302.7, + "caption_id": 414, + "track_id": 945195, + "artist_id": 421686, + "album_id": 111017, + "text": "1990s techno with cliche minor key progression and tacky synthetic saxophone lead", + "prompt": "generate song from the given description: 1990s techno with cliche minor key progression and tacky synthetic saxophone lead" + }, + "output": {} + }, + { + "id": "sg_494", + "input": { + "duration": 200.0, + "caption_id": 1006, + "track_id": 1281209, + "artist_id": 343154, + "album_id": 152813, + "text": "A repetitive musical motif with an electronic keyboard sound which sounds relaxing. Could be used to focus on work.", + "prompt": "generate song from the given description: A repetitive musical motif with an electronic keyboard sound which sounds relaxing. Could be used to focus on work." + }, + "output": {} + }, + { + "id": "sg_395", + "input": { + "duration": 210.2, + "caption_id": 234, + "track_id": 1009674, + "artist_id": 7063, + "album_id": 118858, + "text": "A rock song, with a pad synth in the back, male vocals accompanied by drums and piano midway, and an electric synth at the end. Happy song, upbeat and can be heard doing leisure activities.", + "prompt": "generate song from the given description: A rock song, with a pad synth in the back, male vocals accompanied by drums and piano midway, and an electric synth at the end. Happy song, upbeat and can be heard doing leisure activities." + }, + "output": {} + }, + { + "id": "sg_118", + "input": { + "duration": 161.7, + "caption_id": 124, + "track_id": 83867, + "artist_id": 336397, + "album_id": 7741, + "text": "Energetic guitar and cajon duo accompanied by a portuguese singing woman.", + "prompt": "generate song from the given description: Energetic guitar and cajon duo accompanied by a portuguese singing woman." + }, + "output": {} + }, + { + "id": "sg_250", + "input": { + "duration": 262.2, + "caption_id": 903, + "track_id": 1267288, + "artist_id": 451073, + "album_id": 151447, + "text": "Pop song with a classical chord progression in which all instruments join progressively, building up a richer and richer music.", + "prompt": "generate song from the given description: Pop song with a classical chord progression in which all instruments join progressively, building up a richer and richer music." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SpeechTranslationChToEn/annotation.json b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationChToEn/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d271690b95c046a0ec45c4f273f8e2de390a07e3 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationChToEn/annotation.json @@ -0,0 +1,99 @@ +{ + "set_type": "closeset", + "task": "speech translation", + "data_source": "GigaST", + "type": "audio generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "audio", + "text" + ] + }, + "version": "1.0", + "language": "zh-to-en", + "data": [ + { + "id": "st_ch_to_en_244", + "input": { + "text": "\u662f\u7684\uff0c\u73b0\u5728\u4e0d\u5c31\u662f\u4e00\u4e2a\u5b8c\u7f8e\u7684\u4f8b\u5b50\u3002\u6211\u4eec\u8fd9\u513f\u6709\u997c\u5e72\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_096", + "input": { + "text": "\u6bcf\u4e2a\u4eba\u90fd\u5728\u5173\u6ce8\u8fd9\u4e9b\u5927\u516c\u53f8\uff0c\u6bcf\u4e2a\u4eba\u90fd\u5728\u6295\u8d44\u8fd9\u4e9b\u5927\u516c\u53f8\uff0c\u8fd9\u4e9b\u5927\u516c\u53f8\u7684\u5e02\u503c\u90fd\u975e\u5e38\u9ad8\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_406", + "input": { + "text": "\u4ed6\u662f\u5728\u8fd9\u91cc\u4f4f\u5417\uff1f", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_384", + "input": { + "text": "\u4f60\u8fd8\u9700\u8981\u4e00\u4e2a\u53d7\u6b22\u8fce\u7684\u5019\u9009\u4eba\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_360", + "input": { + "text": "\u4ed6\u8d62\u4e86\uff0c\u745e\u5b89\u00b7\u96f7\u8bfa\u5179\u8d62\u4e86\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_407", + "input": { + "text": "\u5f88\u96be\u8bf4\u670d\u4eba\u4eec\u518d\u53bb\u4e0a\u62a5\u4fe1\u606f\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_180", + "input": { + "text": "\u5173\u4e8e\u6211\uff0c\u548c\u67d0\u4eba\u51fa\u53bb\u5f88\u70e6\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_391", + "input": { + "text": "\u60f3\u8c61\u4e00\u4e0b\u4f60\u662f\u4e00\u4f4d\u505a\u4e61\u6751\u97f3\u4e50\u7684\u65b0\u6b4c\u624b\uff0c\u4f60\u7684\u7b2c\u4e00\u9996\u5355\u66f2\u5c31\u767b\u4e0a\u4e86\u4e61\u6751\u548c\u6d41\u884c\u97f3\u4e50\u7684\u7b2c\u4e00\u540d\u3002\u4f60\u4f1a\u89c9\u5f97\u4f60\u641e\u7cdf\u4e86\uff1f\u80fd\u8ba9\u4f60\u95ee\u8fd9\u4e2a\u95ee\u9898\u7684\u4eba\u4e0d\u591a\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_109", + "input": { + "text": "\u6b63\u5982\u5efa\u56fd\u8005\u6240\u5e0c\u671b\u7684\u90a3\u6837\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + }, + { + "id": "st_ch_to_en_073", + "input": { + "text": "12 \u5c81\u65f6\uff0c\u7279\u9c81\u8fea\u5728\u5168\u56fd\u9752\u5c11\u5e74\u9526\u6807\u8d5b\u4e0a\u4e00\u4e3e\u593a\u51a0\u3002", + "prompt": "translate the given chinese sentence in to english speech: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToCh/annotation.json b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToCh/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..48e025db4e965c8bd6b250e3bd53b6dfd749eced --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToCh/annotation.json @@ -0,0 +1,99 @@ +{ + "set_type": "closeset", + "task": "speech translation", + "data_source": "CoVoST", + "type": "audio generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "audio", + "text" + ] + }, + "version": "1.0", + "language": "en-to-zh", + "data": [ + { + "id": "st_en_to_ch_462", + "input": { + "text": "His works in the era of child star are listed separately below.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_268", + "input": { + "text": "This species is of the most brightly color among the diploderma swinhonis", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_298", + "input": { + "text": "She is the chairman and founder of", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_299", + "input": { + "text": "To Niseko Beer Museum.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_420", + "input": { + "text": "In this way, the two lost their friendship and became lovers.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_118", + "input": { + "text": "Zhao Peilan, born in Guxian County, Shanxi Province, was a political figure of the Qing Dynasty.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_375", + "input": { + "text": "Hebrew literature includes ancient, middle ancient and modern literature using Hebrew.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_400", + "input": { + "text": "Zhong Chongwen, courtesy name Zhongmo, a native of Nanchang County, Nanchang Prefecture, Jiangxi, civilian, Ming Dynasty political figure, originally a scholar.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_155", + "input": { + "text": "He is also a professional butcher.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + }, + { + "id": "st_en_to_ch_022", + "input": { + "text": "In the eighth year of Wanli, win the one hundred and ninety second place at Jinshi third round.", + "prompt": "translate the given english sentence in to chinese speech: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToMo/annotation.json b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToMo/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f739579dc4fc2d60b477502d0e70e4400ce9a1e9 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/SpeechTranslationEnToMo/annotation.json @@ -0,0 +1,99 @@ +{ + "set_type": "closeset", + "task": "speech translation", + "data_source": "CoVoST", + "type": "audio generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "audio", + "text" + ] + }, + "version": "1.0", + "language": "english-to-mogolian", + "data": [ + { + "id": "st_01128", + "input": { + "text": "I don\u2019t even remember how long I have slept.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_00187", + "input": { + "text": "This elevator always gets stuck as it is an old Russian elevator.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_00827", + "input": { + "text": "There is nothing good about making ten people jobless.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_01448", + "input": { + "text": "We are trying to celebrate to keep our tradition while living abroad.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_00673", + "input": { + "text": "What an unfortunate day without luck.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_01181", + "input": { + "text": "I told you not to worry about.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_01065", + "input": { + "text": "That night I decided to write a letter to my younger brother after thinking for a while.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_00108", + "input": { + "text": "they are now know nothing other than drinking.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_01176", + "input": { + "text": "Because, the project cost will not only be limited by the product price.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + }, + { + "id": "st_01352", + "input": { + "text": "You can\u2019t tell people like this who realized their guilt.", + "prompt": "translate the given english sentence in to mogolian speech: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/TextToSpeech/annotation.json b/Scope-A/S-A-Quick/audio/generation/TextToSpeech/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..94497dd5afdf36a8b78045961b7d9cfe08fe4142 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/TextToSpeech/annotation.json @@ -0,0 +1,253 @@ +{ + "set_type": "closeset", + "task": "text to speech generation", + "data_source": "LibriSpeech", + "type": "audio generation", + "modality": { + "in": "text", + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "tts_01351", + "input": { + "text": "TO ASK ANY MORE QUESTIONS OF YOU I BELIEVE WOULD BE UNFAIR\n", + "prompt": "generate speech from the given text: TO ASK ANY MORE QUESTIONS OF YOU I BELIEVE WOULD BE UNFAIR\n" + }, + "output": {} + }, + { + "id": "tts_02270", + "input": { + "text": "HALF AN HOUR LATER TURNING A DEAF EAR TO ALL REMONSTRANCE HE GAVE THE PROPRIETORS UNTIL FIVE O'CLOCK TO REMOVE THEIR FAMILIES AND PERSONAL PROPERTY FROM THE FREE STATE HOTEL\n", + "prompt": "generate speech from the given text: HALF AN HOUR LATER TURNING A DEAF EAR TO ALL REMONSTRANCE HE GAVE THE PROPRIETORS UNTIL FIVE O'CLOCK TO REMOVE THEIR FAMILIES AND PERSONAL PROPERTY FROM THE FREE STATE HOTEL\n" + }, + "output": {} + }, + { + "id": "tts_01488", + "input": { + "text": "MY MEN LAUGHED YES A STINGY HOST\n", + "prompt": "generate speech from the given text: MY MEN LAUGHED YES A STINGY HOST\n" + }, + "output": {} + }, + { + "id": "tts_01051", + "input": { + "text": "I SEE A CROWD IN ONE CORNER OF THE GARDEN EVERYBODY STANDING STILL AND LOOKING UP\n", + "prompt": "generate speech from the given text: I SEE A CROWD IN ONE CORNER OF THE GARDEN EVERYBODY STANDING STILL AND LOOKING UP\n" + }, + "output": {} + }, + { + "id": "tts_01465", + "input": { + "text": "THE REST OF YOU OFF A VIKING HE HAD THREE SHIPS\n", + "prompt": "generate speech from the given text: THE REST OF YOU OFF A VIKING HE HAD THREE SHIPS\n" + }, + "output": {} + }, + { + "id": "tts_01725", + "input": { + "text": "IT WILL NOT BE SAFE FOR YOU TO STAY HERE NOW\n", + "prompt": "generate speech from the given text: IT WILL NOT BE SAFE FOR YOU TO STAY HERE NOW\n" + }, + "output": {} + }, + { + "id": "tts_00141", + "input": { + "text": "TO THIS HIS ANSWER WAS PROMPT OH THANK GOD NO AND IS THE RECORD YOURS\n", + "prompt": "generate speech from the given text: TO THIS HIS ANSWER WAS PROMPT OH THANK GOD NO AND IS THE RECORD YOURS\n" + }, + "output": {} + }, + { + "id": "tts_01750", + "input": { + "text": "NEVER THAT SIR HE HAD SAID\n", + "prompt": "generate speech from the given text: NEVER THAT SIR HE HAD SAID\n" + }, + "output": {} + }, + { + "id": "tts_01780", + "input": { + "text": "ROBIN FITZOOTH SAW THAT HIS DOUBTS OF WARRENTON HAD BEEN UNFAIR AND HE BECAME ASHAMED OF HIMSELF FOR HARBORING THEM\n", + "prompt": "generate speech from the given text: ROBIN FITZOOTH SAW THAT HIS DOUBTS OF WARRENTON HAD BEEN UNFAIR AND HE BECAME ASHAMED OF HIMSELF FOR HARBORING THEM\n" + }, + "output": {} + }, + { + "id": "tts_02603", + "input": { + "text": "AND THOUGH I HAVE GROWN SERENE AND STRONG SINCE THEN I THINK THAT GOD HAS WILLED A STILL RENEWABLE FEAR\n", + "prompt": "generate speech from the given text: AND THOUGH I HAVE GROWN SERENE AND STRONG SINCE THEN I THINK THAT GOD HAS WILLED A STILL RENEWABLE FEAR\n" + }, + "output": {} + }, + { + "id": "tts_00940", + "input": { + "text": "SO THOSE OFFICES WHICH ARE BY RIGHT THE PROPER EMPLOYMENT OF THE LEISURE CLASS ARE NOBLE SUCH AS GOVERNMENT FIGHTING HUNTING THE CARE OF ARMS AND ACCOUTREMENTS AND THE LIKE IN SHORT THOSE WHICH MAY BE CLASSED AS OSTENSIBLY PREDATORY EMPLOYMENTS\n", + "prompt": "generate speech from the given text: SO THOSE OFFICES WHICH ARE BY RIGHT THE PROPER EMPLOYMENT OF THE LEISURE CLASS ARE NOBLE SUCH AS GOVERNMENT FIGHTING HUNTING THE CARE OF ARMS AND ACCOUTREMENTS AND THE LIKE IN SHORT THOSE WHICH MAY BE CLASSED AS OSTENSIBLY PREDATORY EMPLOYMENTS\n" + }, + "output": {} + }, + { + "id": "tts_01150", + "input": { + "text": "THANK YOU BUT I DON'T LIKE IT SO WELL AS THIS\n", + "prompt": "generate speech from the given text: THANK YOU BUT I DON'T LIKE IT SO WELL AS THIS\n" + }, + "output": {} + }, + { + "id": "tts_02504", + "input": { + "text": "BUT CAP'N BILL MADE NO SUCH ATTEMPT KNOWING IT WOULD BE USELESS\n", + "prompt": "generate speech from the given text: BUT CAP'N BILL MADE NO SUCH ATTEMPT KNOWING IT WOULD BE USELESS\n" + }, + "output": {} + }, + { + "id": "tts_01354", + "input": { + "text": "BUT IN SUCH A CASE MISS MILNER'S ELECTION OF A HUSBAND SHALL NOT DIRECT MINE\n", + "prompt": "generate speech from the given text: BUT IN SUCH A CASE MISS MILNER'S ELECTION OF A HUSBAND SHALL NOT DIRECT MINE\n" + }, + "output": {} + }, + { + "id": "tts_01890", + "input": { + "text": "I WAS BOOKKEEPER SO IT WAS EASY TO GET A BLANK CHECK AND FORGE THE SIGNATURE\n", + "prompt": "generate speech from the given text: I WAS BOOKKEEPER SO IT WAS EASY TO GET A BLANK CHECK AND FORGE THE SIGNATURE\n" + }, + "output": {} + }, + { + "id": "tts_00471", + "input": { + "text": "MISSUS GREY HAD MET SOUTHERNERS BEFORE BUT NOT INTIMATELY AND SHE ALWAYS HAD IN MIND VIVIDLY THEIR CRUELTY TO POOR NEGROES A SUBJECT SHE MADE A POINT OF INTRODUCING FORTHWITH\n", + "prompt": "generate speech from the given text: MISSUS GREY HAD MET SOUTHERNERS BEFORE BUT NOT INTIMATELY AND SHE ALWAYS HAD IN MIND VIVIDLY THEIR CRUELTY TO POOR NEGROES A SUBJECT SHE MADE A POINT OF INTRODUCING FORTHWITH\n" + }, + "output": {} + }, + { + "id": "tts_02336", + "input": { + "text": "THE FIRST OF OUR VAGUE BUT INDUBITABLE DATA IS THAT THERE IS KNOWLEDGE OF THE PAST\n", + "prompt": "generate speech from the given text: THE FIRST OF OUR VAGUE BUT INDUBITABLE DATA IS THAT THERE IS KNOWLEDGE OF THE PAST\n" + }, + "output": {} + }, + { + "id": "tts_00326", + "input": { + "text": "HOLD SAID DAVID PERCEIVING THAT WITH THIS ASSURANCE THEY WERE ABOUT TO LEAVE HIM I AM AN UNWORTHY AND HUMBLE FOLLOWER OF ONE WHO TAUGHT NOT THE DAMNABLE PRINCIPLE OF REVENGE\n", + "prompt": "generate speech from the given text: HOLD SAID DAVID PERCEIVING THAT WITH THIS ASSURANCE THEY WERE ABOUT TO LEAVE HIM I AM AN UNWORTHY AND HUMBLE FOLLOWER OF ONE WHO TAUGHT NOT THE DAMNABLE PRINCIPLE OF REVENGE\n" + }, + "output": {} + }, + { + "id": "tts_02236", + "input": { + "text": "FOR GENERAL SERVICE THEREFORE REQUIRING NO SPECIAL EFFORT THE NUMERICAL STRENGTH OF THE FACTIONS WAS ABOUT EQUAL WHILE ON EXTRAORDINARY OCCASIONS THE TWO THOUSAND BORDER RUFFIAN RESERVE LYING A LITTLE FARTHER BACK FROM THE STATE LINE COULD AT ANY TIME EASILY TURN THE SCALE\n", + "prompt": "generate speech from the given text: FOR GENERAL SERVICE THEREFORE REQUIRING NO SPECIAL EFFORT THE NUMERICAL STRENGTH OF THE FACTIONS WAS ABOUT EQUAL WHILE ON EXTRAORDINARY OCCASIONS THE TWO THOUSAND BORDER RUFFIAN RESERVE LYING A LITTLE FARTHER BACK FROM THE STATE LINE COULD AT ANY TIME EASILY TURN THE SCALE\n" + }, + "output": {} + }, + { + "id": "tts_00686", + "input": { + "text": "MARIE'S FACE FELL UNDER HIS BROODING GAZE\n", + "prompt": "generate speech from the given text: MARIE'S FACE FELL UNDER HIS BROODING GAZE\n" + }, + "output": {} + }, + { + "id": "tts_02444", + "input": { + "text": "FIRST AS A PARIS STOCKBROKER LATER AS A CELEBRATED AUTHOR AND YACHTSMAN HE WENT ON FREQUENT VOYAGES TO BRITAIN AMERICA THE MEDITERRANEAN\n", + "prompt": "generate speech from the given text: FIRST AS A PARIS STOCKBROKER LATER AS A CELEBRATED AUTHOR AND YACHTSMAN HE WENT ON FREQUENT VOYAGES TO BRITAIN AMERICA THE MEDITERRANEAN\n" + }, + "output": {} + }, + { + "id": "tts_00695", + "input": { + "text": "I CAN'T PLAY WITH YOU LIKE A LITTLE BOY ANY MORE HE SAID SLOWLY THAT'S WHAT YOU MISS MARIE\n", + "prompt": "generate speech from the given text: I CAN'T PLAY WITH YOU LIKE A LITTLE BOY ANY MORE HE SAID SLOWLY THAT'S WHAT YOU MISS MARIE\n" + }, + "output": {} + }, + { + "id": "tts_02221", + "input": { + "text": "THE DUCHESS OF SOUTHBRIDGE TO LORD REGGIE OH REGGIE WHAT DID YOU SAY\n", + "prompt": "generate speech from the given text: THE DUCHESS OF SOUTHBRIDGE TO LORD REGGIE OH REGGIE WHAT DID YOU SAY\n" + }, + "output": {} + }, + { + "id": "tts_02035", + "input": { + "text": "THE MOTHER IN MANAGING THE CASE IN THIS WAY RELIES PARTLY ON CONVINCING THE REASON OF THE CHILD AND PARTLY ON AN APPEAL TO HER AFFECTION\n", + "prompt": "generate speech from the given text: THE MOTHER IN MANAGING THE CASE IN THIS WAY RELIES PARTLY ON CONVINCING THE REASON OF THE CHILD AND PARTLY ON AN APPEAL TO HER AFFECTION\n" + }, + "output": {} + }, + { + "id": "tts_02618", + "input": { + "text": "I LOVE THEE WITH THE PASSION PUT TO USE IN MY OLD GRIEFS AND WITH MY CHILDHOOD'S FAITH\n", + "prompt": "generate speech from the given text: I LOVE THEE WITH THE PASSION PUT TO USE IN MY OLD GRIEFS AND WITH MY CHILDHOOD'S FAITH\n" + }, + "output": {} + }, + { + "id": "tts_00102", + "input": { + "text": "BUT NOW HERE IS A SUBJECT OF WHICH YOU WILL WONDER AT FIRST WHY TURNER DREW IT AT ALL\n", + "prompt": "generate speech from the given text: BUT NOW HERE IS A SUBJECT OF WHICH YOU WILL WONDER AT FIRST WHY TURNER DREW IT AT ALL\n" + }, + "output": {} + }, + { + "id": "tts_01170", + "input": { + "text": "HE STOOD A LITTLE BEHIND HER AND TRIED TO STEADY HIMSELF AS HE SAID IT'S SOFT AND MISTY SEE HOW WHITE THE STARS ARE\n", + "prompt": "generate speech from the given text: HE STOOD A LITTLE BEHIND HER AND TRIED TO STEADY HIMSELF AS HE SAID IT'S SOFT AND MISTY SEE HOW WHITE THE STARS ARE\n" + }, + "output": {} + }, + { + "id": "tts_00152", + "input": { + "text": "CRIED THE LADIES WHOSE DEPARTURE HAD BEEN FIXED\n", + "prompt": "generate speech from the given text: CRIED THE LADIES WHOSE DEPARTURE HAD BEEN FIXED\n" + }, + "output": {} + }, + { + "id": "tts_02085", + "input": { + "text": "BUT HIS MOTHER HUGGED HIM CLOSE\n", + "prompt": "generate speech from the given text: BUT HIS MOTHER HUGGED HIM CLOSE\n" + }, + "output": {} + }, + { + "id": "tts_01721", + "input": { + "text": "RIGHT WILLINGLY FOR BETWEEN US WE HAVE WON THE BATTLE ANSWERED ROBIN\n", + "prompt": "generate speech from the given text: RIGHT WILLINGLY FOR BETWEEN US WE HAVE WON THE BATTLE ANSWERED ROBIN\n" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/TwoCaptionsToAudio/annotation.json b/Scope-A/S-A-Quick/audio/generation/TwoCaptionsToAudio/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..17f10da3d2668f3fee460fd887ebf8b6599505fa --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/TwoCaptionsToAudio/annotation.json @@ -0,0 +1,253 @@ +{ + "set_type": "closeset", + "task": "two text captions to audio generation", + "data_source": "AudioCaps", + "type": "audio generation", + "modality": { + "in": "text", + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "tcta_077", + "input": { + "text": "An infant crying followed by a man laughing # A car door slamming shut as a vehicle engine is running idle then revving", + "prompt": "I want to generate 'An infant crying followed by a man laughing' followed by 'A car door slamming shut as a vehicle engine is running idle then revving'." + }, + "output": {} + }, + { + "id": "tcta_335", + "input": { + "text": "A child laughs, a man speaks, and people laugh # A man speaking as a stream of water sprays and splashes", + "prompt": "I want to generate 'A child laughs, a man speaks, and people laugh' followed by 'A man speaking as a stream of water sprays and splashes'." + }, + "output": {} + }, + { + "id": "tcta_158", + "input": { + "text": "An adult female speaks as a pan sizzles # The whir of an aircraft engine", + "prompt": "I want to generate 'An adult female speaks as a pan sizzles' followed by 'The whir of an aircraft engine'." + }, + "output": {} + }, + { + "id": "tcta_168", + "input": { + "text": "Two young girls speaks with distant clop-clops followed by a loud gasp from a crowd # Running then spraying", + "prompt": "I want to generate 'Two young girls speaks with distant clop-clops followed by a loud gasp from a crowd' followed by 'Running then spraying'." + }, + "output": {} + }, + { + "id": "tcta_334", + "input": { + "text": "Rapid gunfire with far away voice # A sewing machine operating idle followed by a man talking then several instances of metal ratcheting", + "prompt": "I want to generate 'Rapid gunfire with far away voice' followed by 'A sewing machine operating idle followed by a man talking then several instances of metal ratcheting'." + }, + "output": {} + }, + { + "id": "tcta_002", + "input": { + "text": "A toilet flushing # Semiautomatic gunfire then clicks of a magazine change followed by more gunfire", + "prompt": "I want to generate 'A toilet flushing' followed by 'Semiautomatic gunfire then clicks of a magazine change followed by more gunfire'." + }, + "output": {} + }, + { + "id": "tcta_089", + "input": { + "text": "Birds chirping and water trickling # A person clapping followed by a dog barking then wood clanking as birds chirp and gusts of wind blow in the background", + "prompt": "I want to generate 'Birds chirping and water trickling' followed by 'A person clapping followed by a dog barking then wood clanking as birds chirp and gusts of wind blow in the background'." + }, + "output": {} + }, + { + "id": "tcta_172", + "input": { + "text": "A clock ticking and gears cranking # Water moving with male voices soft in the background", + "prompt": "I want to generate 'A clock ticking and gears cranking' followed by 'Water moving with male voices soft in the background'." + }, + "output": {} + }, + { + "id": "tcta_194", + "input": { + "text": "A tin can rattling followed by a woman talking # Birds are cooing, and wings flap", + "prompt": "I want to generate 'A tin can rattling followed by a woman talking' followed by 'Birds are cooing, and wings flap'." + }, + "output": {} + }, + { + "id": "tcta_173", + "input": { + "text": "Woman speaking, plastic container opening # A man talking then whistling", + "prompt": "I want to generate 'Woman speaking, plastic container opening' followed by 'A man talking then whistling'." + }, + "output": {} + }, + { + "id": "tcta_125", + "input": { + "text": "A man speaks followed by whistling and guitar music # A baby cries, and people are communicating", + "prompt": "I want to generate 'A man speaks followed by whistling and guitar music' followed by 'A baby cries, and people are communicating'." + }, + "output": {} + }, + { + "id": "tcta_447", + "input": { + "text": "A critter squealing as a man is talking and leaves are rustling # A clock ticking for several seconds followed by faint coughing", + "prompt": "I want to generate 'A critter squealing as a man is talking and leaves are rustling' followed by 'A clock ticking for several seconds followed by faint coughing'." + }, + "output": {} + }, + { + "id": "tcta_248", + "input": { + "text": "A woman talking followed by a toilet flushing while a kid talks # A man speaks as a motorcycle accelerates", + "prompt": "I want to generate 'A woman talking followed by a toilet flushing while a kid talks' followed by 'A man speaks as a motorcycle accelerates'." + }, + "output": {} + }, + { + "id": "tcta_069", + "input": { + "text": "A vehicle horn honking # A motorboat engine revving", + "prompt": "I want to generate 'A vehicle horn honking' followed by 'A motorboat engine revving'." + }, + "output": {} + }, + { + "id": "tcta_234", + "input": { + "text": "A clock ticks repeatedly # A woman laughing followed by the bleating of sheep and a soft breeze", + "prompt": "I want to generate 'A clock ticks repeatedly' followed by 'A woman laughing followed by the bleating of sheep and a soft breeze'." + }, + "output": {} + }, + { + "id": "tcta_469", + "input": { + "text": "A vehicle engine revving several times with a series of compressed air releasing and plastic pops # Spraying and hissing with some light vibrations", + "prompt": "I want to generate 'A vehicle engine revving several times with a series of compressed air releasing and plastic pops' followed by 'Spraying and hissing with some light vibrations'." + }, + "output": {} + }, + { + "id": "tcta_417", + "input": { + "text": "Water trickling and dripping as a crowd of people talk in the background # A motorboat engine running idle as wind blows into a microphone while a man talks", + "prompt": "I want to generate 'Water trickling and dripping as a crowd of people talk in the background' followed by 'A motorboat engine running idle as wind blows into a microphone while a man talks'." + }, + "output": {} + }, + { + "id": "tcta_211", + "input": { + "text": "Humming of an approaching bus with squeaking brakes and people speaking in the distance # Male speech, a door closing, and then male speech", + "prompt": "I want to generate 'Humming of an approaching bus with squeaking brakes and people speaking in the distance' followed by 'Male speech, a door closing, and then male speech'." + }, + "output": {} + }, + { + "id": "tcta_060", + "input": { + "text": "Clickety clanking followed by a horn honking loudly # A man is speaking outside with wind noise", + "prompt": "I want to generate 'Clickety clanking followed by a horn honking loudly' followed by 'A man is speaking outside with wind noise'." + }, + "output": {} + }, + { + "id": "tcta_323", + "input": { + "text": "An inhale then a burp with girls speaking and laughing # A man talking followed by a toilet flushing", + "prompt": "I want to generate 'An inhale then a burp with girls speaking and laughing' followed by 'A man talking followed by a toilet flushing'." + }, + "output": {} + }, + { + "id": "tcta_409", + "input": { + "text": "Water splashes with people speaking in the distance and a faint whistle # A high pitched bell ringing continuously", + "prompt": "I want to generate 'Water splashes with people speaking in the distance and a faint whistle' followed by 'A high pitched bell ringing continuously'." + }, + "output": {} + }, + { + "id": "tcta_475", + "input": { + "text": "Ticking is ongoing, soft clicking occurs, and a cuckoo calls once followed by musical chimes # An aircraft engine accelerating followed by an object clanking against fiberglass as an emergency siren sounds in the background", + "prompt": "I want to generate 'Ticking is ongoing, soft clicking occurs, and a cuckoo calls once followed by musical chimes' followed by 'An aircraft engine accelerating followed by an object clanking against fiberglass as an emergency siren sounds in the background'." + }, + "output": {} + }, + { + "id": "tcta_086", + "input": { + "text": "An electronic signal followed by compressed air releasing then an electronic bell playing as a train runs on tracks in the background # Pigeons cooing followed by bird wings flapping", + "prompt": "I want to generate 'An electronic signal followed by compressed air releasing then an electronic bell playing as a train runs on tracks in the background' followed by 'Pigeons cooing followed by bird wings flapping'." + }, + "output": {} + }, + { + "id": "tcta_182", + "input": { + "text": "Rustling with rattling followed by a man speaking # Birds chirp and a great number of insects buzz, an adult male speaks, and then a sharp thump occurs", + "prompt": "I want to generate 'Rustling with rattling followed by a man speaking' followed by 'Birds chirp and a great number of insects buzz, an adult male speaks, and then a sharp thump occurs'." + }, + "output": {} + }, + { + "id": "tcta_129", + "input": { + "text": "An adult female speaks and claps, a bird whistles in the foreground, another bird chirps in the background, and then a human whistles a tune # An adult male speaks and then an audience laughs and claps somewhat, followed by the adult male speaking again and then the audience laughing and clapping harder", + "prompt": "I want to generate 'An adult female speaks and claps, a bird whistles in the foreground, another bird chirps in the background, and then a human whistles a tune' followed by 'An adult male speaks and then an audience laughs and claps somewhat, followed by the adult male speaking again and then the audience laughing and clapping harder'." + }, + "output": {} + }, + { + "id": "tcta_113", + "input": { + "text": "A male speech and then repeated gunfire followed by a male speech. # A sewing machine operating several times followed by metal clanking", + "prompt": "I want to generate 'A male speech and then repeated gunfire followed by a male speech.' followed by 'A sewing machine operating several times followed by metal clanking'." + }, + "output": {} + }, + { + "id": "tcta_155", + "input": { + "text": "A duck quacking followed by a dog whimpering then glass tapping as a film projector runs while birds chirp in the background # Bees buzz while two men talk followed by a sniffle", + "prompt": "I want to generate 'A duck quacking followed by a dog whimpering then glass tapping as a film projector runs while birds chirp in the background' followed by 'Bees buzz while two men talk followed by a sniffle'." + }, + "output": {} + }, + { + "id": "tcta_307", + "input": { + "text": "An ambulance siren with rain # Laser followed by a gun shot", + "prompt": "I want to generate 'An ambulance siren with rain' followed by 'Laser followed by a gun shot'." + }, + "output": {} + }, + { + "id": "tcta_119", + "input": { + "text": "A female child speaks in a quiet environment # A toilet flushing", + "prompt": "I want to generate 'A female child speaks in a quiet environment' followed by 'A toilet flushing'." + }, + "output": {} + }, + { + "id": "tcta_472", + "input": { + "text": "A race car races, and the engine accelerates # A woman talking followed by a kid talking while birds chirp in the background", + "prompt": "I want to generate 'A race car races, and the engine accelerates' followed by 'A woman talking followed by a kid talking while birds chirp in the background'." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/VideoToAudio/annotation.json b/Scope-A/S-A-Quick/audio/generation/VideoToAudio/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ebac89fb86a2c0f5dffb8ec89e567f5483f60c46 --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/VideoToAudio/annotation.json @@ -0,0 +1,106 @@ +{ + "set_type": "closeset", + "task": "video to audio generation", + "data_source": "AVSync15", + "type": "audio generation", + "modality": { + "in": [ + "video", + "text" + ], + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "vta_00003", + "input": { + "video_file": "baby_babbling_crying/GhJhxnqgKcc_000139_000149_1.0_5.5.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "baby babbling crying" + }, + "output": {} + }, + { + "id": "vta_00447", + "input": { + "video_file": "playing_cello/Mw1nPIeEBcY_000150_000160_1.0_4.0.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "playing cello" + }, + "output": {} + }, + { + "id": "vta_00033", + "input": { + "video_file": "dog_barking/KzK6d6Qpu_o_000010_000020_3.0_7.0.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "dog barking" + }, + "output": {} + }, + { + "id": "vta_00287", + "input": { + "video_file": "frog_croaking/VDuvK0u8XyY_000012_000022_2.0_5.0.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "frog croaking" + }, + "output": {} + }, + { + "id": "vta_00377", + "input": { + "video_file": "playing_trombone/LuO4GUJEPv8_000018_000028_0.0_7.5.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "playing trombone" + }, + "output": {} + }, + { + "id": "vta_00006", + "input": { + "video_file": "baby_babbling_crying/dIIiaO12I5Q_000006_000016_0.0_3.0.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "baby babbling crying" + }, + "output": {} + }, + { + "id": "vta_00179", + "input": { + "video_file": "frog_croaking/u9Llxysyi2I_000020_000030_7.3_9.5.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "frog croaking" + }, + "output": {} + }, + { + "id": "vta_00011", + "input": { + "video_file": "cap_gun_shooting/3l4alj6RRkM_000547_000557_2.0_6.5.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "cap gun shooting" + }, + "output": {} + }, + { + "id": "vta_00406", + "input": { + "video_file": "toilet_flushing/9InrWtkCJjw_000080_000090_1.0_4.5.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "toilet flushing" + }, + "output": {} + }, + { + "id": "vta_00364", + "input": { + "video_file": "cap_gun_shooting/tIkbDp-xQZk_000105_000115_6.5_10.0.mp4", + "prompt": "generate audio from the video, the audio should be the same as the original video", + "text": "cap gun shooting" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/audio/generation/VoiceConversion/annotation.json b/Scope-A/S-A-Quick/audio/generation/VoiceConversion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a5fb3f53d510a2244a5238a4275fc243e89ce7ea --- /dev/null +++ b/Scope-A/S-A-Quick/audio/generation/VoiceConversion/annotation.json @@ -0,0 +1,253 @@ +{ + "set_type": "closeset", + "task": "voice conversion", + "data_source": "VCTK", + "type": "audio generation", + "modality": { + "in": "text", + "out": "audio" + }, + "version": "1.0", + "data": [ + { + "id": "vc_272", + "input": { + "text": "I feel sorry for anyone coming in here.", + "prompt": "generate female voice with Irish accent to read the provided text: I feel sorry for anyone coming in here." + }, + "output": {} + }, + { + "id": "vc_314", + "input": { + "text": "The regional newspapers have outperformed the national titles.\n", + "prompt": "generate female voice with English accent to read the provided text: The regional newspapers have outperformed the national titles.\n" + }, + "output": {} + }, + { + "id": "vc_384", + "input": { + "text": "He has written to the minister after meetings on the island.\n", + "prompt": "generate male voice with Scottish accent to read the provided text: He has written to the minister after meetings on the island.\n" + }, + "output": {} + }, + { + "id": "vc_119", + "input": { + "text": "It is a court case.\n", + "prompt": "generate male voice with English accent to read the provided text: It is a court case.\n" + }, + "output": {} + }, + { + "id": "vc_340", + "input": { + "text": "I have tonight resigned as a member of the European Commission.\n", + "prompt": "generate female voice with Scottish accent to read the provided text: I have tonight resigned as a member of the European Commission.\n" + }, + "output": {} + }, + { + "id": "vc_199", + "input": { + "text": "He loved the moment.\n", + "prompt": "generate male voice with Scottish accent to read the provided text: He loved the moment.\n" + }, + "output": {} + }, + { + "id": "vc_131", + "input": { + "text": "The following are the principal provisions.)\n", + "prompt": "generate male voice with English accent to read the provided text: The following are the principal provisions.)\n" + }, + "output": {} + }, + { + "id": "vc_291", + "input": { + "text": "Scotland will be an integral part of Abbey National.)\n", + "prompt": "generate male voice with Scottish accent to read the provided text: Scotland will be an integral part of Abbey National.)\n" + }, + "output": {} + }, + { + "id": "vc_208", + "input": { + "text": "Seven people were later detained by police.", + "prompt": "generate male voice with NorthernIrish accent to read the provided text: Seven people were later detained by police." + }, + "output": {} + }, + { + "id": "vc_321", + "input": { + "text": "Much the same thing happens in a young company.\n", + "prompt": "generate male voice with English accent to read the provided text: Much the same thing happens in a young company.\n" + }, + "output": {} + }, + { + "id": "vc_447", + "input": { + "text": "Hopefully today will be the turning point.", + "prompt": "generate male voice with Canadian accent to read the provided text: Hopefully today will be the turning point." + }, + "output": {} + }, + { + "id": "vc_148", + "input": { + "text": "It is set in Paris.", + "prompt": "generate female voice with Irish accent to read the provided text: It is set in Paris." + }, + "output": {} + }, + { + "id": "vc_218", + "input": { + "text": "People look, but no one ever finds it.\n", + "prompt": "generate female voice with English accent to read the provided text: People look, but no one ever finds it.\n" + }, + "output": {} + }, + { + "id": "vc_475", + "input": { + "text": "We want to keep the pound.\n", + "prompt": "generate male voice with English accent to read the provided text: We want to keep the pound.\n" + }, + "output": {} + }, + { + "id": "vc_438", + "input": { + "text": "The wedding date has been set for Orlando in Florida in October.\n", + "prompt": "generate female voice with English accent to read the provided text: The wedding date has been set for Orlando in Florida in October.\n" + }, + "output": {} + }, + { + "id": "vc_006", + "input": { + "text": "I've learned from my mistakes.", + "prompt": "generate male voice with NorthernIrish accent to read the provided text: I've learned from my mistakes." + }, + "output": {} + }, + { + "id": "vc_290", + "input": { + "text": "The penalty was the turning point.", + "prompt": "generate female voice with NorthernIrish accent to read the provided text: The penalty was the turning point." + }, + "output": {} + }, + { + "id": "vc_262", + "input": { + "text": "Today I couldn't run on it.\n", + "prompt": "generate female voice with English accent to read the provided text: Today I couldn't run on it.\n" + }, + "output": {} + }, + { + "id": "vc_002", + "input": { + "text": "I have worked with him on projects.", + "prompt": "generate male voice with NorthernIrish accent to read the provided text: I have worked with him on projects." + }, + "output": {} + }, + { + "id": "vc_183", + "input": { + "text": "We can make a difference.", + "prompt": "generate male voice with Australian accent to read the provided text: We can make a difference." + }, + "output": {} + }, + { + "id": "vc_225", + "input": { + "text": "It's an issue that will have to be tackled.\n", + "prompt": "generate male voice with Scottish accent to read the provided text: It's an issue that will have to be tackled.\n" + }, + "output": {} + }, + { + "id": "vc_364", + "input": { + "text": "The position on the euro remains unchanged.", + "prompt": "generate male voice with NorthernIrish accent to read the provided text: The position on the euro remains unchanged." + }, + "output": {} + }, + { + "id": "vc_108", + "input": { + "text": "There will be widespread support on all sides.\n", + "prompt": "generate male voice with Scottish accent to read the provided text: There will be widespread support on all sides.\n" + }, + "output": {} + }, + { + "id": "vc_357", + "input": { + "text": "These figures are truly awful.\n", + "prompt": "generate female voice with Scottish accent to read the provided text: These figures are truly awful.\n" + }, + "output": {} + }, + { + "id": "vc_005", + "input": { + "text": "Why change it ?\n", + "prompt": "generate male voice with English accent to read the provided text: Why change it ?\n" + }, + "output": {} + }, + { + "id": "vc_110", + "input": { + "text": "He was a crazy man.\n", + "prompt": "generate male voice with Scottish accent to read the provided text: He was a crazy man.\n" + }, + "output": {} + }, + { + "id": "vc_310", + "input": { + "text": "What does this mean?", + "prompt": "generate male voice with American accent to read the provided text: What does this mean?" + }, + "output": {} + }, + { + "id": "vc_248", + "input": { + "text": "I wish I could say something.\n", + "prompt": "generate male voice with English accent to read the provided text: I wish I could say something.\n" + }, + "output": {} + }, + { + "id": "vc_077", + "input": { + "text": "This time, for Rangers, it is certainly the latter.\n", + "prompt": "generate female voice with English accent to read the provided text: This time, for Rangers, it is certainly the latter.\n" + }, + "output": {} + }, + { + "id": "vc_244", + "input": { + "text": "I would miss him.\n", + "prompt": "generate male voice with Irish accent to read the provided text: I would miss him.\n" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Abduction-basedVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Abduction-basedVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..57cd0b942889dc86119874c86294f270c13b3c36 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Abduction-basedVQA/annotation.json @@ -0,0 +1,241 @@ +{ + "set_type": "closeset", + "task": "Abduction-based VQA", + "data_source": "vizwiz", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0211", + "input": { + "image_file": [ + "0211_0.jpg", + "0211_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What color is this? Answer1:['yellow', 'yellow', 'yellow', 'yellow', 'yellow', 'yellow', 'yellow', 'yellow', 'mango yellow', 'yellow'] Question2:What is this product? Answer2:['celeste pizza', 'celeste', 'unanswerable', 'celeste', 'frozen pizza', 'celeste', 'celeste frozen dinner', 'celeste', 'frozen dinner', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0069", + "input": { + "image_file": [ + "0069_0.jpg", + "0069_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will present you with two collections of pictures, questions, and answers to examine if they match in their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:what does this say? Answer1:['chicken mini taco', 'chicken mini tacos', 'chicken mini taco', 'chicken mini tacos', 'chicken mini tacos', 'chicken mini tacos', 'chicken mini tacos', 'chicken mini tacos', 'chicken mini taco', 'chicken mini taco'] Question2:For what college team is this helmet? Answer2:['unanswerable', 'alabama', 'buckeyes', 'unanswerable', 'unanswerable', 'unanswerable', 'unanswerable', 'alabama', 'unanswerable', 'unanswerable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0311", + "input": { + "image_file": [ + "0311_0.jpg", + "0311_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What's this candy bar? Answer1:['baby ruth', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'erag', 'unanswerable', 'unanswerable', 'unsuitable', 'unsuitable'] Question2:What is the phone number for the contact center? Answer2:['0845 7 48 49 50', '0845 7 48 49 50', '0845 7 48 49 50', '0845 7 48 49 50', '08457484950', '0845 7 48 49 50', '0', '0845 7 48 49 50', '0845 7 48 49 50', '0845 7 48 49 50']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0330", + "input": { + "image_file": [ + "0330_0.jpg", + "0330_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What kind of food is this? Answer1:['i dont know', 'unsuitable', 'soup', 'unanswerable', 'unanswerable', 'unanswerable', 'ravioli', 'unsuitable', 'unsuitable', 'unanswerable'] Question2:What is this document? Answer2:['unsuitable', 'unsuitable', 'unanswerable', 'blank paper', 'blank paper', 'blank page', 'unsuitable', 'unanswerable', 'unsuitable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0343", + "input": { + "image_file": [ + "0343_0.jpg", + "0343_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What scent, what fragrance is this? Answer1:['bombshell', 'bombshell', 'bombshell', 'bombshell', 'bombshell', 'bombshell', 'bombshell', 'bombshell l', 'bombshell l', 'bombshell'] Question2:What does this say? Answer2:['p n f q i x', 'pnfqjx', 'pnfqjx', 'pnfqix', 'pnfqjx', 'unanswerable', 'pnfqjx', 'pnfqjx', 'pnfqjx', 'pnf q i x']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0417", + "input": { + "image_file": [ + "0417_0.jpg", + "0417_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To check if they share the same 'Question-Answer Differences', I will give you two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:Whats in this refrigerator? Answer1:['soda can', 'unanswerable', 'unsuitable', 'unsuitable', 'soda', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unanswerable'] Question2:What is this? Answer2:['unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'light', 'unsuitable', 'unanswerable', 'unsuitable', 'unsuitable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0188", + "input": { + "image_file": [ + "0188_0.jpg", + "0188_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To check if they share the same 'Question-Answer Differences', I will give you two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:What color is this shirt? Answer1:['unsuitable', 'white blue', 'blue white', 'blue white', 'blue white', 'blue white', 'bluish white', 'blue white', 'blue white', 'white blue'] Question2:What kind of almonds are these? Answer2:['unanswerable', 'unanswerable', 'unsuitable', 'paper', 'unsuitable', 'unanswerable', 'unsuitable', 'unanswerable', 'unanswerable', 'unanswerable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0245", + "input": { + "image_file": [ + "0245_0.jpg", + "0245_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To verify if they have the same 'Question-Answer Differences', I will offer you two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:What is it? Answer1:['unsuitable', 'unsuitable', 'unanswerable', 'unsuitable', 'glass', 'unanswerable', 'unsuitable', 'television', 'unsuitable', 'unsuitable'] Question2:This is a box of russel stover chocolates. Could you tell me what style of chocolates they are? Answer2:['dark', 'all dark', 'all dark', 'dark chocolates', 'all dark', 'all dark', 'all dark fine chocolates', 'dark chocolate', 'chocolate', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0034", + "input": { + "image_file": [ + "0034_0.jpg", + "0034_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this bottle? Answer1:['vitamins', 'calcium gummy vitamins', 'calcium vitamins', 'calcium', 'vitamins', 'vita fusion calcium gummy vitamins', 'vitafusion calcium', 'vitafusion calcium', 'calcium chews', 'calcium gummy vitamins'] Question2:What color are these pants? Answer2:['denim grey', 'light blue', 'grey', 'unsuitable', 'grey', 'white', 'grey', 'light blue jeans', 'regth', 'grey']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0441", + "input": { + "image_file": [ + "0441_0.jpg", + "0441_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To evaluate if they have identical 'Question-Answer Differences', I will supply you with two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:How much money is this? Answer1:['1 dollar', '1 dollar', '1 dollar', '1.00', '$1', '1 dollar', '1 dollar', '1', '1 dollar', '1 dollar'] Question2:What kind of cornbread mix is this? Answer2:['sweet yellow', 'pioneer', 'pioneer brand', 'sweet yellow corn bread', 'pioneer', 'corn muffin', 'pioneer', 'sweet yellow corn muffin mix', 'sweet yellow corn muffins', 'sweet yellow']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0348", + "input": { + "image_file": [ + "0348_0.jpg", + "0348_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two sets of pictures, questions, and answers will be given to you to compare their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What's the content of this screen? Answer1:['unsuitable', 'unsuitable', 'spot', 'black white dot', 'white bright dot', 'moon', 'lighting', 'bright light', 'sun', 'nothing'] Question2:I just wanted to find out if the vest looks nice with the shirt, what color the vest is, the shirt is, what design is on the shirt , or colors? Thank you very much for... Answer2:['unanswerable', 'unsuitable', 'unanswerable', 'unsuitable', 'solid black', 'unsuitable', 'too dark', 'vest shirt too dark', 'unsuitable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0474", + "input": { + "image_file": [ + "0474_0.jpg", + "0474_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Can you tell me what's in this box of frozen dinner? Answer1:['rotini alfredo broccoli florets', 'yes', 'rotini alfredo broccoli florettea', 'rotini alfredo broccoli', 'rotini alfredo broccoli florets', 'rotini alfredo broccoli', 'rotini alfredo broccoli florets', 'rotini alfredo broccoli florets', 'rotini alfredo broccoli florets', 'rotini alfredo broccoli florets'] Question2:Hi, what color is this cup? And does it say anything? Thank you. Answer2:['white brown yes', 'white no', 'white keys to city', 'white grey brown sleeve words unclear', 'cup white beige says keys to city', 'white keys to city', 'white writing', 'white keys to city', 'white cup brown label', 'white says companys backstory']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0143", + "input": { + "image_file": [ + "0143_0.jpg", + "0143_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two batches of pictures, questions, and answers will be delivered to you to assess their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What kind of wine am I looking at? Answer1:['columbo 2009 italian sangiovese', 'italian sangiovese', 'italian sangiovese', 'italian', 'italian sangiovese', 'italian sangiovese', 'italian sangiovese', 'italian sangiovese', 'italian sangovese', 'italian sangiovese'] Question2:What color is this (inaudible) please? Answer2:['yellow', 'yellow green', 'yellow green', 'yellow green some orange', 'yellow green on back brown on ridge', 'yellow green orange', 'yellow green', 'yellow', 'yellow green red', 'green yellow']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0244", + "input": { + "image_file": [ + "0244_0.jpg", + "0244_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To check if they share the same 'Question-Answer Differences', I will give you two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:Can you tell me what this is? I hope I took the picture right, and thank you this is a wonderful application. Answer1:['table', 'bed', 'stuff on table', 'sideways picture bed table top', 'unanswerable', 'unanswerable', 'napkin holder', 'dining table', 'table', 'unanswerable'] Question2:What is in this can? Answer2:['unanswerable', 'soup', 'unsuitable', 'soup', 'soup', 'soup', 'soup', 'beans', 'progresso soup', 'soup']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0369", + "input": { + "image_file": [ + "0369_0.jpg", + "0369_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What color is it? Answer1:['black', 'navy', 'blue', 'black', 'black', 'black', 'black', 'black brown stains', 'grey', 'blue'] Question2:What color is this shirt? Answer2:['grey', 'unsuitable', 'grey', 'unsuitable', 'unsuitable', 'white', 'unsuitable', 'white', 'unsuitable', 'black']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What color is it? Answer1:['checked blue purple white', 'plaid', 'multi plaid', 'plaid', 'unanswerable', 'plaid', 'plaid', 'unanswerable', 'plaid', 'unsuitable'] Question2:What is it Answer2:['middle finger', 'finger', 'dog middle finger', 'dog', 'dog', 'finger', 'middle finger', 'this doll', 'middle finger small dog', 'finger']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0420", + "input": { + "image_file": [ + "0420_0.jpg", + "0420_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To evaluate if they have identical 'Question-Answer Differences', I will supply you with two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:Ok. What color is my dog? Answer1:['black', 'er', 'black', 'black', 'hes black', 'black', 'black', 'black', 'black', 'black'] Question2:What does this paper say? Answer2:['unanswerable', 'patio', 'unanswerable', 'ads', 'unanswerable', 'unsuitable', 'patio', 'unanswerable', 'patio', 'patio']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:what type of jello is this? Answer1:['vanilla', 'vanilla', 'vanilla', 'vanilla pudding', 'vanilla', 'vanilla', 'vanilla cook serve pudding', 'vanilla', 'vanilla flavor', 'jello cook'] Question2:What is this? Answer2:['flowers', 'flower', 'purple flowers', 'irises', 'flowers', 'flower centerpiece', 'flowers', 'flower', 'floral centerpiece', 'flowers']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0168", + "input": { + "image_file": [ + "0168_0.jpg", + "0168_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is it? Answer1:['kleenex box', 'tissues', 'tissues', 'tissues', 'tissues', 'box tissues', 'tissue box', 'tissue', 'box tissues', 'facial tissue'] Question2:What is y=2x 5-2x? Answer2:['unanswerable', 'no idea', '5', 'algebra problem', 'y 5', 'equation', 'math', '5', 'unanswerable', 'y 5']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0449", + "input": { + "image_file": [ + "0449_0.jpg", + "0449_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will present you with two collections of pictures, questions, and answers to examine if they match in their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Can you tell what it says on my computer screen here? Answer1:['installing mac os x', 'installing mac os x', 'unsuitable', 'installing mac os x', 'yes', 'installing mac os x', 'installing mac os x', 'installing mac os', 'yes', 'yes'] Question2:What is this? Answer2:['meat packs', 'meat packs garlic', 'unanswerable', 'garlic salt', 'unanswerable', 'meat packs', 'meat packs garlic', 'meat packs garlic', 'meat packs', 'meat packs']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Aircraft_Model_Matching/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Aircraft_Model_Matching/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0ca55263f3d07956b8f20cfd329a37fb34aad9ad --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Aircraft_Model_Matching/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Aircraft_Model_Matching", + "data_source": "fgvc_aircraft", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_38.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_33.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0271" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_248.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1649.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0150" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1621.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_536.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0201" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1849.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_495.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0124" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1118.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1106.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0353" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2717.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2713.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0428" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2830.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_610.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0242" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2378.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2397.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0422" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_637.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_644.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0256" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1185.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1170.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0366" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_102.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3037.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0002" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2919.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2905.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0273" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2623.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2607.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0297" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1329.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1308.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0454" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1908.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1907.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0455" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_674.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1552.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0168" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1664.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1989.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0165" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2906.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2921.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0494" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2597.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2594.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0426" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_458.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_308.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0241" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3065.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3047.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0300" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1133.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_180.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0233" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1654.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1661.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0309" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1081.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2070.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0229" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2181.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3136.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0112" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2376.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_2381.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0403" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3086.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3084.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0315" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_706.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_715.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0344" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_655.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_3244.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0078" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1809.png", + "data/image/comprehension/Aircraft_Model_Matching/fgvc_aircraft/images/image_1811.png" + ], + "question": "Are these two photos of the same type of aircraft?", + "prompt": "Compare the two images and determine whether they show the same aircraft model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0251" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/AnimalImageMatting/annotation.json b/Scope-A/S-A-Quick/image/comprehension/AnimalImageMatting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5cf89ecc9749f4013d7b36e41e5652f0366fbfb5 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/AnimalImageMatting/annotation.json @@ -0,0 +1,165 @@ +{ + "task": "animal image matting", + "data_source": "am2k", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Object Matting", + "domain": [ + "Animal" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "0015", + "input": { + "image_file": "0015.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0013", + "input": { + "image_file": "0013.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0108", + "input": { + "image_file": "0108.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0200", + "input": { + "image_file": "0200.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0038", + "input": { + "image_file": "0038.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0118", + "input": { + "image_file": "0118.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0071", + "input": { + "image_file": "0071.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0065", + "input": { + "image_file": "0065.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0057", + "input": { + "image_file": "0057.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0132", + "input": { + "image_file": "0132.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0092", + "input": { + "image_file": "0092.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0023", + "input": { + "image_file": "0023.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0006", + "input": { + "image_file": "0006.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0172", + "input": { + "image_file": "0172.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0160", + "input": { + "image_file": "0160.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0197", + "input": { + "image_file": "0197.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0081", + "input": { + "image_file": "0081.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0034", + "input": { + "image_file": "0034.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0036", + "input": { + "image_file": "0036.jpg", + "prompt": "Perform image matting on the animal in the images." + } + }, + { + "id": "0046", + "input": { + "image_file": "0046.jpg", + "prompt": "Perform image matting on the animal in the images." + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/AnimalRecognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/AnimalRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..adcd591173422f8c3d7aa433c325ebfdc0a52afa --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/AnimalRecognition/annotation.json @@ -0,0 +1,95 @@ +{ + "task": "animal recognition", + "data_source": "https://www.kaggle.com/datasets/alessiocorrado99/animals10", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": [ + "Animal" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "pfer0410", + "input": { + "image_file": "pfer0410.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0367", + "input": { + "image_file": "pfer0367.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0054", + "input": { + "image_file": "pfer0054.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0502", + "input": { + "image_file": "pfer0502.jpg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0155", + "input": { + "image_file": "pfer0155.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0264", + "input": { + "image_file": "pfer0264.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0191", + "input": { + "image_file": "pfer0191.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0166", + "input": { + "image_file": "pfer0166.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0096", + "input": { + "image_file": "pfer0096.jpg", + "prompt": "Recognize the category of the animal in the image" + } + }, + { + "id": "pfer0468", + "input": { + "image_file": "pfer0468.jpeg", + "prompt": "Recognize the category of the animal in the image" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/AnimatedStoryCompletion/annotation.json b/Scope-A/S-A-Quick/image/comprehension/AnimatedStoryCompletion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..183c24ca94b932224c3081fe956b5ce30e6adbb2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/AnimatedStoryCompletion/annotation.json @@ -0,0 +1,141 @@ +{ + "set_type": "closeset", + "task": "Animated Story Completion", + "data_source": "AESOP", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Visual Storytelling Generation", + "domain": "General", + "general_capability": [ + "Commense Understanding" + ], + "version": "1.0", + "data": [ + { + "id": "0482", + "input": { + "image_file": [ + "0482_0.jpg", + "0482_1.jpg", + "0482_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Alice decided to have a picnic with a friend at Burns Park. They called it Burns Park because the trees would catch on fire once a year and all the leaves would be gone. She sat waiting for her friend feeling uneasy as she looked at the bare trees.Caption#2:\"I'm here!\" said Jane. \"Jane!\" said Alice. The girls sat down to have lunch together and talked about the eerie feelings they had. \"Sure is creepy.\" said Alice. \"Yep, have some wine, and then you will not feel uneasy.\" said Jane. \"Okay.\" said Alice.Caption#3:" + }, + "output": {} + }, + { + "id": "0432", + "input": { + "image_file": [ + "0432_0.jpg", + "0432_1.jpg", + "0432_2.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:Emily's morning started out a little bit different than normal today. Her toddler Jack decided he wants to play the drums before breakfast gets started. She sees the joy on his face and can't help giggle with him.Caption#2:Emily decides to let Jack help her make breakfast this morning. Jack asks for eggs and bacon so Emily starts grabbing from ingredients from the fridge. Jack will help her crack and whisk the eggs and she will cook the bacon.Caption#3:" + }, + "output": {} + }, + { + "id": "0499", + "input": { + "image_file": [ + "0499_0.jpg", + "0499_1.jpg", + "0499_2.jpg" + ], + "prompt": "From the narratives given with the initial images, write the conclusion using the final imageCaption#1:Alice was sunbathing with her son being in the pond swimming.Caption#2:They chatted and had pie together.Time passed by and the cloud has already covered the sun.Caption#3:" + }, + "output": {} + }, + { + "id": "0070", + "input": { + "image_file": [ + "0070_0.jpg", + "0070_1.jpg", + "0070_2.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:Jared was walking in the pedestrian in the park. Suddenly he saw apples falling down from the tree.Jared was excited to catch all the apples.Caption#2:Lizzy and Carol were playing happily baseball near Jared.He was really excited to see the kids.He decided to give the apples to the kids.Caption#3:" + }, + "output": {} + }, + { + "id": "0384", + "input": { + "image_file": [ + "0384_0.jpg", + "0384_1.jpg", + "0384_2.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:Lizzy all alone by herself in the house .her parents went to visit a relative nearby. she was bored and hungry so she wanted to surprise her parents by cooking a special recipe she learned from a TV show that she watches often sometimes.Caption#2:Lizzy prepared all the recipes along with eggs, it's already started to smell good. she never had a chance before to cook herself alone in the kitchen. she's so excited and started to feel happy thinking that her parents would be proud of her.Caption#3:" + }, + "output": {} + }, + { + "id": "0466", + "input": { + "image_file": [ + "0466_0.jpg", + "0466_1.jpg", + "0466_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Emily is making dinner for her family. She wished there was a way to get her kids to eat more vegetables. She suddenly thought, she could make their favorite chicken noodle soup, chop up the vegetables into little pieces and hide them in the soup.Caption#2:She got to work chopping up vegetables, including corn and mushrooms. She couldn't wait to see if her kids noticed.Caption#3:" + }, + "output": {} + }, + { + "id": "0368", + "input": { + "image_file": [ + "0368_0.jpg", + "0368_1.jpg", + "0368_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Emily and Lizzy were going out. They wanted to say bye to the puppy before they left. They didn't want him to be sad.Caption#2:The puppy waited until he knew for sure that they were gone.Caption#3:" + }, + "output": {} + }, + { + "id": "0343", + "input": { + "image_file": [ + "0343_0.jpg", + "0343_1.jpg", + "0343_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Emma made an omelet for her son and the cat was eagerly watching Emma.Caption#2:When Emma turned around, she saw that the cat jumped to steal the omelet which she made for her son.Caption#3:" + }, + "output": {} + }, + { + "id": "0271", + "input": { + "image_file": [ + "0271_0.jpg", + "0271_1.jpg", + "0271_2.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:Bobby and Carol were playing in park on a seesaw. Carol noticed a small puppy sitting near a slide in the park. Puppy was looking sad and scared. Carol informed Bobby about that puppy.Caption#2:When they went near, puppy started playing with Carol. Carol said to Bobby that it looks like puppy is lost. She noticed a collar on puppy neck which had owner address. They decided to take puppy to that address.Caption#3:" + }, + "output": {} + }, + { + "id": "0423", + "input": { + "image_file": [ + "0423_0.jpg", + "0423_1.jpg", + "0423_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Lizzy was in the kitchen trying to bake some desserts for her school's bake sale. She loved to bake, and she saw this as a good way to raise money for her school.Caption#2:Lizzy got some of her baked goods out on the table to be taken out to the bake sale. But her big thing was going to be an apple and a cherry pie.Caption#3:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ArtImageVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ArtImageVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ae8e9f8c227cebbb633b39b5d00da15d8a50bb1 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ArtImageVisualQuestionAnswering/annotation.json @@ -0,0 +1,121 @@ +{ + "task": "Art Image Visual Question Answering", + "data_source": "AQUA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": "Art", + "general_capability": "Content Recognition, Reasoning Ability", + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "art_image_vqa_0470", + "input": { + "image_file": "21292-theseus.jpg", + "prompt": "what stand next to each other" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0024", + "input": { + "image_file": "22199-04chess.jpg", + "prompt": "what stand next to each other" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0496", + "input": { + "image_file": "25914-redeemer.jpg", + "prompt": "what sit in a room" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0103", + "input": { + "image_file": "41407-16polypt.jpg", + "prompt": "what do a group of people stand in" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0265", + "input": { + "image_file": "30133-brothel.jpg", + "prompt": "what sit on a chair" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0140", + "input": { + "image_file": "44513-landsc_r.jpg", + "prompt": "what stand next to a river" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0169", + "input": { + "image_file": "44047-2abegg.jpg", + "prompt": "what do a group of people stand next to" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0290", + "input": { + "image_file": "36286-baptist.jpg", + "prompt": "who stand next to a wall with an umbrella" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0043", + "input": { + "image_file": "41290-06martin.jpg", + "prompt": "what stand around a horse" + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "art_image_vqa_0016", + "input": { + "image_file": "41386-10colom1.jpg", + "prompt": "what stand in front of a building" + }, + "output": { + "text": "Unavailable" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/AttributeCongruityReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/AttributeCongruityReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..737fb9c040303786654736316345b145c9a8a54d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/AttributeCongruityReasoning/annotation.json @@ -0,0 +1,281 @@ +{ + "set_type": "closeset", + "task": "Attribute Congruity Reasoning", + "data_source": "MIT-States_StateCoherence", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0283", + "input": { + "image_file": [ + "0283_0.jpg", + "0283_1.jpg", + "0283_2.jpg", + "0283_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0124", + "input": { + "image_file": [ + "0124_0.jpg", + "0124_1.jpg", + "0124_2.jpg", + "0124_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0471", + "input": { + "image_file": [ + "0471_0.jpg", + "0471_1.jpg", + "0471_2.jpg", + "0471_3.jpg" + ], + "prompt": "I have two sets of pictures that show an object in opposite states. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0376", + "input": { + "image_file": [ + "0376_0.jpg", + "0376_1.jpg", + "0376_2.jpg", + "0376_3.jpg" + ], + "prompt": "I have two sets of pictures that show an object in opposite states. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0278", + "input": { + "image_file": [ + "0278_0.jpg", + "0278_1.jpg", + "0278_2.jpg", + "0278_3.jpg" + ], + "prompt": "I will provide you with two sets of pictures, each of which shows an object in the opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0475", + "input": { + "image_file": [ + "0475_0.jpg", + "0475_1.jpg", + "0475_2.jpg", + "0475_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0110", + "input": { + "image_file": [ + "0110_0.jpg", + "0110_1.jpg", + "0110_2.jpg", + "0110_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0103", + "input": { + "image_file": [ + "0103_0.jpg", + "0103_1.jpg", + "0103_2.jpg", + "0103_3.jpg" + ], + "prompt": "I will provide you with two sets of pictures, each showing an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0406", + "input": { + "image_file": [ + "0406_0.jpg", + "0406_1.jpg", + "0406_2.jpg", + "0406_3.jpg" + ], + "prompt": "I will provide you with two sets of pictures, each of which shows an object in the opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0464", + "input": { + "image_file": [ + "0464_0.jpg", + "0464_1.jpg", + "0464_2.jpg", + "0464_3.jpg" + ], + "prompt": "I will give you two sets of pictures, each of which depicts an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0246", + "input": { + "image_file": [ + "0246_0.jpg", + "0246_1.jpg", + "0246_2.jpg", + "0246_3.jpg" + ], + "prompt": "I have two sets of pictures that show an object in opposite states. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0138", + "input": { + "image_file": [ + "0138_0.jpg", + "0138_1.jpg", + "0138_2.jpg", + "0138_3.jpg" + ], + "prompt": "I will provide you with two sets of pictures, each showing an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0068", + "input": { + "image_file": [ + "0068_0.jpg", + "0068_1.jpg", + "0068_2.jpg", + "0068_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0315", + "input": { + "image_file": [ + "0315_0.jpg", + "0315_1.jpg", + "0315_2.jpg", + "0315_3.jpg" + ], + "prompt": "I will show you two sets of pictures, each showing an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0465", + "input": { + "image_file": [ + "0465_0.jpg", + "0465_1.jpg", + "0465_2.jpg", + "0465_3.jpg" + ], + "prompt": "I will show you two sets of pictures, each depicting an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0337", + "input": { + "image_file": [ + "0337_0.jpg", + "0337_1.jpg", + "0337_2.jpg", + "0337_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0048", + "input": { + "image_file": [ + "0048_0.jpg", + "0048_1.jpg", + "0048_2.jpg", + "0048_3.jpg" + ], + "prompt": "I have two sets of pictures that show an object in opposite states. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0225", + "input": { + "image_file": [ + "0225_0.jpg", + "0225_1.jpg", + "0225_2.jpg", + "0225_3.jpg" + ], + "prompt": "I have two sets of pictures that show an object in opposite states. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg", + "0080_2.jpg", + "0080_3.jpg" + ], + "prompt": "I have two sets of pictures that depict an object in its opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0084", + "input": { + "image_file": [ + "0084_0.jpg", + "0084_1.jpg", + "0084_2.jpg", + "0084_3.jpg" + ], + "prompt": "I will provide you with two sets of pictures, each of which shows an object in the opposite state. Can you tell me if the states of these two sets of pictures are the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/BigCatImageRecognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/BigCatImageRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0c4c194129c51cbc197b384db5e31b38a3c091d2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/BigCatImageRecognition/annotation.json @@ -0,0 +1,95 @@ +{ + "task": "big cat image recognition", + "data_source": "https://www.kaggle.com/datasets/patriciabrezeanu/big-cats-image-classification-dataset", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": [ + "General" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "pfer0670", + "input": { + "image_file": "pfer0670.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0655", + "input": { + "image_file": "pfer0655.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0430", + "input": { + "image_file": "pfer0430.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0647", + "input": { + "image_file": "pfer0647.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0714", + "input": { + "image_file": "pfer0714.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0327", + "input": { + "image_file": "pfer0327.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0342", + "input": { + "image_file": "pfer0342.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0255", + "input": { + "image_file": "pfer0255.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0511", + "input": { + "image_file": "pfer0511.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + }, + { + "id": "pfer0523", + "input": { + "image_file": "pfer0523.jpg", + "prompt": "Recognize the category of the big cat in the image" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/BirdDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/BirdDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..99d7325a085e3f1adf653b59b69332b004e95987 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/BirdDetection/annotation.json @@ -0,0 +1,124 @@ +{ + "task": "Bird Detection", + "data_source": "https://www.kaggle.com/datasets/sovitrath/cub-200-bird-species-xml-detection-dataset", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "boxes" + ] + }, + "skill": "Object Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "bbox_format": "(x_min, y_min, width, height)" + }, + "data": [ + { + "input": { + "image_file": "Bay_Breasted_Warbler_0068_797133.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0336" + }, + { + "input": { + "image_file": "Anna_Hummingbird_0106_56335.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0170" + }, + { + "input": { + "image_file": "American_Pipit_0043_100027.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0074" + }, + { + "input": { + "image_file": "Baltimore_Oriole_0109_87398.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0249" + }, + { + "input": { + "image_file": "American_Redstart_0103_102946.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0118" + }, + { + "input": { + "image_file": "Black_Capped_Vireo_0034_797448.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0474" + }, + { + "input": { + "image_file": "Black_Capped_Vireo_0021_797480.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0468" + }, + { + "input": { + "image_file": "Bank_Swallow_0026_129870.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0266" + }, + { + "input": { + "image_file": "Anna_Hummingbird_0036_56809.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0153" + }, + { + "input": { + "image_file": "Artic_Tern_0115_142570.jpg", + "prompt": "Detect the bird in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "bd_0198" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/BookInformationVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/BookInformationVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..486147b876c380a2b39b1ea7b672ffdad1a5059a --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/BookInformationVQA/annotation.json @@ -0,0 +1,133 @@ +{ + "set_type": "closeset", + "task": "Book Information VQA", + "data_source": "OCR-VQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0165", + "input": { + "image_file": [ + "0165_0.jpg", + "0165_1.jpg" + ], + "prompt": "I will send you two screenshots of the book cover. Please examine the screenshots and answer a question. You must choose your answer from the Choice List. Question: Are the authors of these two books the same?Choice list:['Roger Price', 'Alexander Elder', 'not the same', 'DK Publishing']. Your answer is:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg" + ], + "prompt": "I will give you two pictures of the book cover. Please look at the pictures and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2015', '2017', '2016', 'not the same']. Your answer is:" + }, + "output": {} + }, + { + "id": "0008", + "input": { + "image_file": [ + "0008_0.jpg", + "0008_1.jpg", + "0008_2.jpg" + ], + "prompt": "I will present you with two snapshots of the book cover. Please inspect the snapshots and answer a question. You must choose your answer from the Choice List. Overcoming Secondary Stress in Medical and Nursing Practice: A Guide to Professional Resilience and Personal Well-BeingDead to the Last Drop: A Coffeehouse MysteryMBE OutlinesQuestion: Please give the correct text order corresponding to each bookchooseChoice list:['0,1,2', '0,2,1', '1,0,2', '1,2,0', '2,0,1', '2,1,0']. Your answer is:" + }, + "output": {} + }, + { + "id": "0163", + "input": { + "image_file": [ + "0163_0.jpg", + "0163_1.jpg" + ], + "prompt": "I will share two graphics of the book cover. Please analyze the graphics and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2015', '2017', '2016', 'not the same']. Your answer is:" + }, + "output": {} + }, + { + "id": "0122", + "input": { + "image_file": [ + "0122_0.jpg", + "0122_1.jpg" + ], + "prompt": "I will share two graphics of the book cover. Please analyze the graphics and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['Travel', 'Cookbooks, Food & Wine', 'not the same', 'Parenting & Relationships']. Your answer is:" + }, + "output": {} + }, + { + "id": "0147", + "input": { + "image_file": [ + "0147_0.jpg", + "0147_1.jpg" + ], + "prompt": "I will give you two pictures of the book cover. Please look at the pictures and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2015', '2014', '2016', 'not the same']. Your answer is:" + }, + "output": {} + }, + { + "id": "0025", + "input": { + "image_file": [ + "0025_0.jpg", + "0025_1.jpg", + "0025_2.jpg" + ], + "prompt": "I will upload two illustrations of the book cover. Please scrutinize the illustrations and answer a question. You must choose your answer from the Choice List. Counting the Days to Armageddon: Jehovah's Witnesses and the Second Presence of ChristRaven: A Trickster Tale from the Pacific NorthwestFundamentals of Human Resource ManagementQuestion: Please give the correct text order corresponding to each bookchooseChoice list:['0,1,2', '0,2,1', '1,0,2', '1,2,0', '2,0,1', '2,1,0']. Your answer is:" + }, + "output": {} + }, + { + "id": "0057", + "input": { + "image_file": [ + "0057_0.jpg", + "0057_1.jpg" + ], + "prompt": "I will send you two screenshots of the book cover. Please examine the screenshots and answer a question. You must choose your answer from the Choice List. Question: Are the authors of these two books the same?Choice list:['Lonely Planet', 'not the same', 'Fodor's', 'Michelin Travel & Lifestyle']. Your answer is:" + }, + "output": {} + }, + { + "id": "0121", + "input": { + "image_file": [ + "0121_0.jpg", + "0121_1.jpg" + ], + "prompt": "I will upload two illustrations of the book cover. Please scrutinize the illustrations and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['not the same', '2015', '2017', '2016']. Your answer is:" + }, + "output": {} + }, + { + "id": "0484", + "input": { + "image_file": [ + "0484_0.jpg", + "0484_1.jpg" + ], + "prompt": "I will present you with two snapshots of the book cover. Please inspect the snapshots and answer a question. You must choose your answer from the Choice List. Question: Are the authors of these two books the same?Choice list:['Fodor's', 'Michelin Travel & Lifestyle', 'not the same', 'William Shakespeare']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/BottleAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/BottleAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..269e05a61f38cc86aa9827e4f45fd532fe251ee1 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/BottleAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "bottle anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "17", + "input": { + "image_file": "17.png", + "prompt": "Detect the anomaly region of the bottle" + } + }, + { + "id": "9", + "input": { + "image_file": "9.png", + "prompt": "Detect the anomaly region of the bottle" + } + }, + { + "id": "2", + "input": { + "image_file": "2.png", + "prompt": "Detect the anomaly region of the bottle" + } + }, + { + "id": "10", + "input": { + "image_file": "10.png", + "prompt": "Detect the anomaly region of the bottle" + } + }, + { + "id": "13", + "input": { + "image_file": "13.png", + "prompt": "Detect the anomaly region of the bottle" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/CableAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/CableAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..889133cbdbf097766a2b28af52b1722bf8267e13 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/CableAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "cable anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "41", + "input": { + "image_file": "41.png", + "prompt": "Detect the anomaly region of the cable" + } + }, + { + "id": "9", + "input": { + "image_file": "9.png", + "prompt": "Detect the anomaly region of the cable" + } + }, + { + "id": "26", + "input": { + "image_file": "26.png", + "prompt": "Detect the anomaly region of the cable" + } + }, + { + "id": "6", + "input": { + "image_file": "6.png", + "prompt": "Detect the anomaly region of the cable" + } + }, + { + "id": "3", + "input": { + "image_file": "3.png", + "prompt": "Detect the anomaly region of the cable" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/CapsuleAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/CapsuleAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c238f5d4a984e919c812dbeec0167efa438ac51d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/CapsuleAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "capsule anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "21", + "input": { + "image_file": "21.png", + "prompt": "Detect the anomaly region of the capsule" + } + }, + { + "id": "42", + "input": { + "image_file": "42.png", + "prompt": "Detect the anomaly region of the capsule" + } + }, + { + "id": "49", + "input": { + "image_file": "49.png", + "prompt": "Detect the anomaly region of the capsule" + } + }, + { + "id": "55", + "input": { + "image_file": "55.png", + "prompt": "Detect the anomaly region of the capsule" + } + }, + { + "id": "64", + "input": { + "image_file": "64.png", + "prompt": "Detect the anomaly region of the capsule" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Car_Model_Matching/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Car_Model_Matching/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dd68f2119f7dd188fa38d09507b5aa5f9c1f3f94 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Car_Model_Matching/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Car_Model_Matching", + "data_source": "stanford_car", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7531.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6985.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0221" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1518.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_3212.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0445" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5369.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4089.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0074" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5611.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_3689.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0361" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_3698.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_991.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0150" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_3854.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_549.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0298" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_268.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4057.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0472" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4131.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7178.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0469" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7563.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_617.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0189" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6053.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5699.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0367" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6753.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_206.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0379" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7414.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7879.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0429" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5046.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5470.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0457" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_262.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6594.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0067" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_772.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_794.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0172" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4909.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5876.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0382" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7971.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7555.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0034" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6027.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4441.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0216" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1628.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5865.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0014" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_3808.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6355.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0309" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7713.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7293.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0230" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_2370.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_653.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0044" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5490.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_2187.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0052" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_2743.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1263.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0496" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7335.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1611.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0360" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1368.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_5384.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0316" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_1511.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_2134.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0305" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_6356.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_458.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0065" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_7146.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4969.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0141" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_4508.png", + "data/image/comprehension/Car_Model_Matching/stanford_car/images/image_802.png" + ], + "question": "Are these two photos of the same type of car?", + "prompt": "Compare the two images and determine whether they show the same car model. Return 'yes' if they are the same model, otherwise return 'no'." + }, + "id": "0192" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/CarpetAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/CarpetAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a30d56f4951982296b3ed2317dce3f6962b5aef2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/CarpetAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "carpet anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "20", + "input": { + "image_file": "20.png", + "prompt": "Detect the anomaly region of the carpet" + } + }, + { + "id": "23", + "input": { + "image_file": "23.png", + "prompt": "Detect the anomaly region of the carpet" + } + }, + { + "id": "42", + "input": { + "image_file": "42.png", + "prompt": "Detect the anomaly region of the carpet" + } + }, + { + "id": "10", + "input": { + "image_file": "10.png", + "prompt": "Detect the anomaly region of the carpet" + } + }, + { + "id": "3", + "input": { + "image_file": "3.png", + "prompt": "Detect the anomaly region of the carpet" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/CartoonStoryTelling/annotation.json b/Scope-A/S-A-Quick/image/comprehension/CartoonStoryTelling/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3b9f00ce8055c75e3438e3ab99a785a9e7d8ffdc --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/CartoonStoryTelling/annotation.json @@ -0,0 +1,161 @@ +{ + "set_type": "closeset", + "task": "Cartoon Story Telling", + "data_source": "pororo", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Visual Storytelling Generation", + "domain": "General", + "general_capability": [ + "Commense Understanding" + ], + "version": "1.0", + "data": [ + { + "id": "0111", + "input": { + "image_file": [ + "0111_0.jpg", + "0111_1.jpg", + "0111_2.jpg", + "0111_3.jpg", + "0111_4.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1: crong sits on the ground and moves his toy.Caption#2: pororo is reading a book. pororo raises his head and looks at his right side. crong is sitting on the floor.Caption#3: crong sits on the ground and points to the front.Caption#4: pororo is sitting on the couch and reading a book. there is a toy car on the floor.Caption#5:" + }, + "output": {} + }, + { + "id": "0323", + "input": { + "image_file": [ + "0323_0.jpg", + "0323_1.jpg", + "0323_2.jpg", + "0323_3.jpg", + "0323_4.jpg" + ], + "prompt": "Given the progression of the story with the first few images, can you write a fitting end considering the last image?Caption#1: loopy explains why petty is mad at pororo.Caption#2: petty and poby understands why loopy is so mad at pororo.Caption#3: poby makes an excuse for pororo.Caption#4: loopy admits poby's opinion. poby is looking at loopy.Caption#5:" + }, + "output": {} + }, + { + "id": "0076", + "input": { + "image_file": [ + "0076_0.jpg", + "0076_1.jpg", + "0076_2.jpg", + "0076_3.jpg", + "0076_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1: Poby is standing in front of a wooden wall. Poby is scratching the back of his head. Scene is changing to outside of the house. It is all snowy.Caption#2: A snowy house is showing. Inside of the house Loopy and Poby is there. Loopy is holding a pot.Caption#3: Loopy and Poby is in a house. Poby is asking Loopy what is wrong. Loopy is holding a pot with a sad face.Caption#4: Loopy is standing in front of shelves. Loopy is holding a pot with a sad face.Caption#5:" + }, + "output": {} + }, + { + "id": "0328", + "input": { + "image_file": [ + "0328_0.jpg", + "0328_1.jpg", + "0328_2.jpg", + "0328_3.jpg", + "0328_4.jpg" + ], + "prompt": "Taking the stories from the initial images into account, can you conclude the story using the elements of the final image?Caption#1: loopy is mad at pororo.Caption#2: his hands on the waist pororo is talking.Caption#3: pororo is talking while moving red car feet.Caption#4: loopy approaches pororo. pororo is surprised.Caption#5:" + }, + "output": {} + }, + { + "id": "0225", + "input": { + "image_file": [ + "0225_0.jpg", + "0225_1.jpg", + "0225_2.jpg", + "0225_3.jpg", + "0225_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1: pororo suggests to bring medicine for poby.Caption#2: all the friends agreed to pororo and scattered to each house.Caption#3: poby is sitting on the bed. harry advises poby to lie down.Caption#4: listening to harry poby tries to lie down.Caption#5:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg", + "0080_2.jpg", + "0080_3.jpg", + "0080_4.jpg" + ], + "prompt": "Based on the stories accompanying the first images, can you devise a conclusion for the story that incorporates the last image?Caption#1: Poby and Loopy is standing in Loopy's house its floor is all made of woods. Poby is pointing cactus under the window explaining how to water it. Loopy takes a look at the cactus.Caption#2: Poby and Loopy is standing in Loopy's house. Poby is explaining how to take care of the cactus under the window. Poby is looking up at Poby listening to his explanation.Caption#3: Loopy and Poby is standing Loopy's house. They are having a conversation. Poby is also nodding his head. Loopy looks at Poby.Caption#4: Loopy is in her wooden house holding her cactus. Loopy looks happy.Caption#5:" + }, + "output": {} + }, + { + "id": "0122", + "input": { + "image_file": [ + "0122_0.jpg", + "0122_1.jpg", + "0122_2.jpg", + "0122_3.jpg", + "0122_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1: Crong Pipi and Popo hide behind the snow wall and stick out their heads. there are snow covered trees behind them.Caption#2: Pipi Popo and Crong are sticking out their heads from the snow wall. Pororo runs while looking at his left.Caption#3: crong finds something and become surprised and hides behind the wall.Caption#4: crong stops quickly when pororo comes out from the snow wall. Pipi and Popo are floating near Crong and Pororo. there are snow covered trees on the snow covered land.Caption#5:" + }, + "output": {} + }, + { + "id": "0265", + "input": { + "image_file": [ + "0265_0.jpg", + "0265_1.jpg", + "0265_2.jpg", + "0265_3.jpg", + "0265_4.jpg" + ], + "prompt": "Given the story so far from the first few images, can you complete the tale considering the final image?Caption#1: tutu's rear wheels are stuck in snow.Caption#2: crong and eddy get out from tutu.Caption#3: tutu couldn't move. eddy decides to to something.Caption#4: eddy and crong push tutu from behind.Caption#5:" + }, + "output": {} + }, + { + "id": "0067", + "input": { + "image_file": [ + "0067_0.jpg", + "0067_1.jpg", + "0067_2.jpg", + "0067_3.jpg", + "0067_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1: Poby is in Pororo's house. Poby is approaching a drawer. Above the drawer there is a book which is slightly open.Caption#2: Poby is in Pororo's house searching for something. Poby leans his head down to take a look.Caption#3: Poby is in Pororo's house. Poby is thinking something standing still putting his right hand on his jaw.Caption#4: Poby Crong and Pororo is in Pororo's house. Poby is taking out a toy car. Pororo and Crong is watching Poby doing it.Caption#5:" + }, + "output": {} + }, + { + "id": "0306", + "input": { + "image_file": [ + "0306_0.jpg", + "0306_1.jpg", + "0306_2.jpg", + "0306_3.jpg", + "0306_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1: petty turns to the right while holding a stick.Caption#2: harry is talking and poby looks at harry.Caption#3: harry looks and talks to poby and poby looks at harry.Caption#4: poby talks and stands up.Caption#5:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Classification_of_Visual_Spatial_Relationship/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Classification_of_Visual_Spatial_Relationship/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..51601732fdb45d1f54ff74aed541ce8c2c9b7e10 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Classification_of_Visual_Spatial_Relationship/annotation.json @@ -0,0 +1,184 @@ +{ + "set_type": "closeset", + "task": "Classification_of_Visual_Spatial_Relationship", + "data_source": "https://lllogen.github.io/vsd-challenge.github.io/", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Relation Reasoning", + "domain": "General", + "general_capability": [ + "Content Recognition", + "Spatial Perception" + ], + "version": "1.0", + "data": [ + { + "id": "0230", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2403546.jpg", + "question": "Extract spatial relationships between two given objects fence [1, 430, 1, 332] and girl [67, 499, 2, 237] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0250", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2406990.jpg", + "question": "Extract spatial relationships between two given objects trees [3, 159, 332, 439] and fence [200, 236, 428, 450] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0394", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/3511828428_8884547eaa.jpg", + "question": "Extract spatial relationships between two given objects fruit [159, 280, 66, 176] and table [121, 488, 6, 326] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0203", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/497973.jpg", + "question": "Extract spatial relationships between two given objects dog [541, 714, 66, 166] and boy [428, 681, 7, 88] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0154", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/nyu_study_0008_r-1316653862.389062-1051062537.png", + "question": "Extract spatial relationships between two given objects fan [178, 471, 352, 508] and sofa [165, 425, 12, 479] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0045", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/3944.jpg", + "question": "Extract spatial relationships between two given objects window [288, 368, 535, 576] and building [21, 459, 20, 730] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0272", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2401490.jpg", + "question": "Extract spatial relationships between two given objects orange [0, 240, 7, 199] and apple [73, 356, 183, 499] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0484", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2398249.jpg", + "question": "Extract spatial relationships between two given objects foam [194, 333, 0, 498] and ocean [0, 332, 1, 498] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0143", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/6887523542_06847c2722.jpg", + "question": "Extract spatial relationships between two given objects ice cream [111, 272, 124, 360] and bowl [109, 319, 93, 380] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0224", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/3795.jpg", + "question": "Extract spatial relationships between two given objects moss [329, 404, 148, 259] and tree [297, 425, 159, 259] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0471", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2409830.jpg", + "question": "Extract spatial relationships between two given objects tree [1, 116, 454, 474] and spectators [83, 288, 1, 500] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0072", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2359979.jpg", + "question": "Extract spatial relationships between two given objects hills [139, 159, 367, 499] and water [157, 183, 0, 498] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0302", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2396579.jpg", + "question": "Extract spatial relationships between two given objects rocks [227, 294, 1, 499] and track [222, 269, 1, 499] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0389", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2400706.jpg", + "question": "Extract spatial relationships between two given objects sheep [149, 202, 178, 463] and road [256, 281, 361, 455] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0253", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2402089.jpg", + "question": "Extract spatial relationships between two given objects people [141, 229, 4, 116] and train [60, 313, 27, 318] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0247", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/285865.jpg", + "question": "Extract spatial relationships between two given objects man [60, 650, 296, 772] and chair [283, 648, 292, 643] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0289", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2403337.jpg", + "question": "Extract spatial relationships between two given objects grass [291, 375, 356, 500] and sidewalk [253, 374, 21, 499] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0199", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/866.jpg", + "question": "Extract spatial relationships between two given objects car [566, 587, 0, 39] and parking lot [549, 664, 3, 114] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0450", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2406778.jpg", + "question": "Extract spatial relationships between two given objects traffic light [144, 199, 183, 212] and traffic light [139, 189, 233, 261] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + }, + { + "id": "0014", + "input": { + "image_file": "./data/image/comprehension/Classification_of_Visual_Spatial_Relationship/images/2414928.jpg", + "question": "Extract spatial relationships between two given objects tracks [335, 373, 3, 226] and snow [283, 374, 0, 500] and output a triplet containing the spatial relationships of them.", + "prompt": "The relationships could be chosen from nine labels: 'on', 'in', 'next', 'under', 'above', 'behind', 'in front of', 'left', and 'right'." + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ClothColorVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ClothColorVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d09381db6f41940137fd36b6d1964c8ed0ac0b12 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ClothColorVisualQuestionAnswering/annotation.json @@ -0,0 +1,281 @@ +{ + "set_type": "closeset", + "task": "Cloth Color Visual Question Answering", + "data_source": "Fashion200K", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "Fashion", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0373", + "input": { + "image_file": [ + "0373_0.jpg", + "0373_1.jpg", + "0373_2.jpg", + "0373_3.jpg" + ], + "prompt": "Are the colors of the clothes in these four pictures identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0067", + "input": { + "image_file": [ + "0067_0.jpg", + "0067_1.jpg", + "0067_2.jpg", + "0067_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg", + "0240_2.jpg", + "0240_3.jpg" + ], + "prompt": "Do these four pictures show the same color of clothes? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0404", + "input": { + "image_file": [ + "0404_0.jpg", + "0404_1.jpg", + "0404_2.jpg", + "0404_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0498", + "input": { + "image_file": [ + "0498_0.jpg", + "0498_1.jpg", + "0498_2.jpg", + "0498_3.jpg" + ], + "prompt": "Do the clothes in these four pictures have the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0471", + "input": { + "image_file": [ + "0471_0.jpg", + "0471_1.jpg", + "0471_2.jpg", + "0471_3.jpg" + ], + "prompt": "Do these four pictures show the same color of clothes? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0419", + "input": { + "image_file": [ + "0419_0.jpg", + "0419_1.jpg", + "0419_2.jpg", + "0419_3.jpg" + ], + "prompt": "Are the colors of the clothes in these four pictures consistent? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0364", + "input": { + "image_file": [ + "0364_0.jpg", + "0364_1.jpg", + "0364_2.jpg", + "0364_3.jpg" + ], + "prompt": "Do the clothes in these four pictures have the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0269", + "input": { + "image_file": [ + "0269_0.jpg", + "0269_1.jpg", + "0269_2.jpg", + "0269_3.jpg" + ], + "prompt": "Do these four pictures show the same color of clothes? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0491", + "input": { + "image_file": [ + "0491_0.jpg", + "0491_1.jpg", + "0491_2.jpg", + "0491_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same hue? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0070", + "input": { + "image_file": [ + "0070_0.jpg", + "0070_1.jpg", + "0070_2.jpg", + "0070_3.jpg" + ], + "prompt": "Is the hue of the clothes in these four pictures the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0459", + "input": { + "image_file": [ + "0459_0.jpg", + "0459_1.jpg", + "0459_2.jpg", + "0459_3.jpg" + ], + "prompt": "Do the clothes in these four pictures have the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0159", + "input": { + "image_file": [ + "0159_0.jpg", + "0159_1.jpg", + "0159_2.jpg", + "0159_3.jpg" + ], + "prompt": "Are the colors of the clothes in these four pictures identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0147", + "input": { + "image_file": [ + "0147_0.jpg", + "0147_1.jpg", + "0147_2.jpg", + "0147_3.jpg" + ], + "prompt": "Is the hue of the clothes in these four pictures the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0386", + "input": { + "image_file": [ + "0386_0.jpg", + "0386_1.jpg", + "0386_2.jpg", + "0386_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0242", + "input": { + "image_file": [ + "0242_0.jpg", + "0242_1.jpg", + "0242_2.jpg", + "0242_3.jpg" + ], + "prompt": "Is there any difference in color between the clothes in these four pictures? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0482", + "input": { + "image_file": [ + "0482_0.jpg", + "0482_1.jpg", + "0482_2.jpg", + "0482_3.jpg" + ], + "prompt": "Is the color of the clothes in these four pictures identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0207", + "input": { + "image_file": [ + "0207_0.jpg", + "0207_1.jpg", + "0207_2.jpg", + "0207_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0271", + "input": { + "image_file": [ + "0271_0.jpg", + "0271_1.jpg", + "0271_2.jpg", + "0271_3.jpg" + ], + "prompt": "Is the hue of the clothes in these four pictures the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0023", + "input": { + "image_file": [ + "0023_0.jpg", + "0023_1.jpg", + "0023_2.jpg", + "0023_3.jpg" + ], + "prompt": "Is there any difference in color between the clothes in these four pictures? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ComicDialogueCompletion/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ComicDialogueCompletion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..20d742a08c60dc3130c30be89ced55ca6b47fb0f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ComicDialogueCompletion/annotation.json @@ -0,0 +1,441 @@ +{ + "set_type": "closeset", + "task": "Comic Dialogue Completion", + "data_source": "COMICS_Dialogue", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "Art", + "general_capability": [ + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg", + "0151_1.jpg", + "0151_2.jpg", + "0151_3.jpg", + "0151_4.jpg" + ], + "prompt": "When presented with a sequence of comic panels and the last one's dialogue is hidden, can you select the most appropriate dialogue from the proposed choices? You must choose your answer from the Choice List. Choice list:['strange the way that girl is walking ! sorta slow and bewildered ! ', 'hey ! don ' t ! wait a minute ! ', 'don ' t you know that waters cold ! ', 'wh why ... she doesn ' t know what ' s happening ! she seems to be asleep but her eyes are open ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0286", + "input": { + "image_file": [ + "0286_0.jpg", + "0286_1.jpg", + "0286_2.jpg", + "0286_3.jpg", + "0286_4.jpg" + ], + "prompt": "Presented with a series of comic panels with the dialogue of the last one obscured, can you identify the most suitable dialogue from the four provided alternatives? You must choose your answer from the Choice List. Choice list:['police , 15 it . my mechanical bulldog ware care of ', 'mesa / itsa / ', 'r - a1 pi ', 'pla / across ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0005", + "input": { + "image_file": [ + "0005_0.jpg", + "0005_1.jpg", + "0005_2.jpg", + "0005_3.jpg", + "0005_4.jpg" + ], + "prompt": "Upon viewing a sequence of comic panels with the final one having a hidden dialogue, could you determine the most fitting dialogue option from the available choices? You must choose your answer from the Choice List. Choice list:['you mean for me . heres another item for your tests , professor notice that bullets bounce off me ', 'in marvel junior ', 'i dunno boss ill try ', 'ive come back to make the professor swear he ' ll keep my secret and holy smoke he ' s in trouble ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0439", + "input": { + "image_file": [ + "0439_0.jpg", + "0439_1.jpg", + "0439_2.jpg", + "0439_3.jpg", + "0439_4.jpg" + ], + "prompt": "Here are a number of comic panels with the dialogue in the last one masked. Could you select the most fitting dialogue from the available options? You must choose your answer from the Choice List. Choice list:['phew i ill be glad when this is over ! ', 'jump , woozy that draw bridge is bearing down on usa ', 'those babies are too close for comfort ! ', 'look there ! someone is trying to cross our moat ! we must stop them at once ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0333", + "input": { + "image_file": [ + "0333_0.jpg", + "0333_1.jpg", + "0333_2.jpg", + "0333_3.jpg", + "0333_4.jpg" + ], + "prompt": "Given previous full panels and one masked panel, your job is to select the most appropriate dialogue among four candidates. You must choose your answer from the Choice List. Choice list:['keep circling / we missed it ! ', 'it ' s struck us too ! ', 'i know all about it ! ', 'so ! now they ' re sending bombers ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0386", + "input": { + "image_file": [ + "0386_0.jpg", + "0386_1.jpg", + "0386_2.jpg", + "0386_3.jpg", + "0386_4.jpg" + ], + "prompt": "Given several comic panels and a last one with hidden dialogue, your task is to choose the dialogue that fits best from four candidates. You must choose your answer from the Choice List. Choice list:['well be hat boat empty ! ', 'fire away boys im no able to stop bullets any more ! ', 'what ut - ', 'and tosses it into the river ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0119", + "input": { + "image_file": [ + "0119_0.jpg", + "0119_1.jpg", + "0119_2.jpg", + "0119_3.jpg", + "0119_4.jpg" + ], + "prompt": "Presented with a series of comic panels with the dialogue of the last one obscured, can you identify the most suitable dialogue from the four provided alternatives? You must choose your answer from the Choice List. Choice list:['on land and in tr ', 'on land on sea and in the air ! ', 'i ' ll deliver it myself ! ', 'these are the papers the naval intelligence are lookin ' fur ! her ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0259", + "input": { + "image_file": [ + "0259_0.jpg", + "0259_1.jpg", + "0259_2.jpg", + "0259_3.jpg", + "0259_4.jpg" + ], + "prompt": "You will be given a string of comic panels with the dialogue of the last one masked. Can you pick the most accurate dialogue from the given options? You must choose your answer from the Choice List. Choice list:['oh , joe you are a real he - man , after all ', 'here ' s a love tap from that bag of bones remember ', 'and he used to be so skinny ', 'neve bet ur r ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0356", + "input": { + "image_file": [ + "0356_0.jpg", + "0356_1.jpg", + "0356_2.jpg", + "0356_3.jpg", + "0356_4.jpg" + ], + "prompt": "I will give you a series of comic panels. The dialogue box of the last panel is masked. Can you choose the most relevant one from the candidates? You must choose your answer from the Choice List. Choice list:['that last spring did it ', 'thank heavens ! ', 'gloria s in the s ship and he ' s closing the door ! ', 'kid / pll try to figure something ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0172", + "input": { + "image_file": [ + "0172_0.jpg", + "0172_1.jpg", + "0172_2.jpg", + "0172_3.jpg", + "0172_4.jpg" + ], + "prompt": "When presented with a sequence of comic panels and the last one's dialogue is hidden, can you select the most appropriate dialogue from the proposed choices? You must choose your answer from the Choice List. Choice list:['what line ! ', 'darn it ! how was i supposed to know she wanted them painted ? ', 'this time it ' s got to be original ! ', 'oh oh ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0369", + "input": { + "image_file": [ + "0369_0.jpg", + "0369_1.jpg", + "0369_2.jpg", + "0369_3.jpg", + "0369_4.jpg" + ], + "prompt": "Presented with a series of comic panels with the dialogue of the last one obscured, can you identify the most suitable dialogue from the four provided alternatives? You must choose your answer from the Choice List. Choice list:['will blow your brains out ' ', 'ach let me oudt ', 'keep going hold them off ! ', 'he iss demon ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0392", + "input": { + "image_file": [ + "0392_0.jpg", + "0392_1.jpg", + "0392_2.jpg", + "0392_3.jpg", + "0392_4.jpg" + ], + "prompt": "Given a series of comic panels with the dialogue of the final panel obscured, can you choose the most suitable dialogue from the provided alternatives? You must choose your answer from the Choice List. Choice list:['you ' d better clear out of here . dirk gray ! ', 'we have company ', 'this is what i do to cowboys who butt into my affairs ! ', 'hey what ' s going on ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0271", + "input": { + "image_file": [ + "0271_0.jpg", + "0271_1.jpg", + "0271_2.jpg", + "0271_3.jpg", + "0271_4.jpg" + ], + "prompt": "Here are a number of comic panels with the dialogue in the last one masked. Could you select the most fitting dialogue from the available options? You must choose your answer from the Choice List. Choice list:['hang on , jinx bean ! ', 'action adventure mystery ', 'w ambi jungle bo terry thunder roy lance fan to mah tabu ', 'se ( 0 ) ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0328", + "input": { + "image_file": [ + "0328_0.jpg", + "0328_1.jpg", + "0328_2.jpg", + "0328_3.jpg", + "0328_4.jpg" + ], + "prompt": "Given previous full panels and one masked panel, your job is to select the most appropriate dialogue among four candidates. You must choose your answer from the Choice List. Choice list:['make way , you men this is one party i ' m going to lead personally ill show those red rascals that we mean business ', 'looking the battle scene , a wiley red cloud smiles as he closes his trap on the blue pants ... ', 'now is the time attack ', 'close the gate ... there aren ' t any more coming ! we ' re all . who got away ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0352", + "input": { + "image_file": [ + "0352_0.jpg", + "0352_1.jpg", + "0352_2.jpg", + "0352_3.jpg", + "0352_4.jpg" + ], + "prompt": "I will give you a series of comic panels. The dialogue box of the last panel is masked. Can you choose the most relevant one from the candidates? You must choose your answer from the Choice List. Choice list:['l will not ! you can ' t fight like this ! vvell post pone it ! ', 'take nine kayo ! take nine ', 'w did he know what ' s wrong ', 'kayo ' s hurt . ' m gonna stop a drink ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0459", + "input": { + "image_file": [ + "0459_0.jpg", + "0459_1.jpg", + "0459_2.jpg", + "0459_3.jpg", + "0459_4.jpg" + ], + "prompt": "Given a series of comic panels with the dialogue of the final panel obscured, can you choose the most suitable dialogue from the provided alternatives? You must choose your answer from the Choice List. Choice list:['what ' s that 3 sounds like someone moaning ! ', 'there ' s no one out here ! ', 'it have been the wind ! ', 'its an interesting color ! i think it sets off the sweater very nicely ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0484", + "input": { + "image_file": [ + "0484_0.jpg", + "0484_1.jpg", + "0484_2.jpg", + "0484_3.jpg", + "0484_4.jpg" + ], + "prompt": "Presented with a series of comic panels with the dialogue of the last one obscured, can you identify the most suitable dialogue from the four provided alternatives? You must choose your answer from the Choice List. Choice list:['give up ? ', 'hmmm ! i thought there vas something familiar about dot name ! ', 'only dont hurt me ! ', 'this is one time that even don ' t know what ' s coming ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0214", + "input": { + "image_file": [ + "0214_0.jpg", + "0214_1.jpg", + "0214_2.jpg", + "0214_3.jpg", + "0214_4.jpg" + ], + "prompt": "Given several comic panels and a last one with hidden dialogue, your task is to choose the dialogue that fits best from four candidates. You must choose your answer from the Choice List. Choice list:['ye filth cut throat i ' ll . ', 'them ' s strong words , young un ', 'just then a third ship appeared and loosed a broadside on the pirate craft . ', 'if only the helmsman doesn ' t ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0192", + "input": { + "image_file": [ + "0192_0.jpg", + "0192_1.jpg", + "0192_2.jpg", + "0192_3.jpg", + "0192_4.jpg" + ], + "prompt": "Upon analyzing a sequence of comic panels with the last one's dialogue masked, can you identify the dialogue that fits best from the available candidates? You must choose your answer from the Choice List. Choice list:['the marquis loves lovely ladies . send the girls to hum as a gift from me . they wilt . arm they vvill attack and kill ', 'marquis , listen . you must heed me . ', 'itis time to drill the army lu must ever be prepared for an attack from ts so now ', 'bother me no 7 . can you not see am busy ? ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0361", + "input": { + "image_file": [ + "0361_0.jpg", + "0361_1.jpg", + "0361_2.jpg", + "0361_3.jpg", + "0361_4.jpg" + ], + "prompt": "You will be given a string of comic panels with the dialogue of the last one masked. Can you pick the most accurate dialogue from the given options? You must choose your answer from the Choice List. Choice list:['cast a weather eye on the merchant yonder ! ', 'aye , pour it on , me hear ties ! her cargo will line our pockets well ', 'the lao hao los this money gambling aand had to take another gamble sign in on board a . ship he knew no thin about . ', 'cap n tis a pirate craft ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0143", + "input": { + "image_file": [ + "0143_0.jpg", + "0143_1.jpg", + "0143_2.jpg", + "0143_3.jpg", + "0143_4.jpg" + ], + "prompt": "I will give you a series of comic panels. The dialogue box of the last panel is masked. Can you choose the most relevant one from the candidates? You must choose your answer from the Choice List. Choice list:['put down that phone ! ', 'now ... get yer hat an coat ... and keep yer trap shut ! ', 'a few minutes later . webster the tailor is pushed in to a car and sped away ... ', 'building in the waterfront section ... ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0030", + "input": { + "image_file": [ + "0030_0.jpg", + "0030_1.jpg", + "0030_2.jpg", + "0030_3.jpg", + "0030_4.jpg" + ], + "prompt": "You will be given a string of comic panels with the dialogue of the last one masked. Can you pick the most accurate dialogue from the given options? You must choose your answer from the Choice List. Choice list:['except when the occasion demand it ! ', 'th they were going to murder me : they must be crazy men please take them away from here ', 'see fire engines ', 'i ' ll be right back ! but dont worry they won ' t recover for awhile ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0076", + "input": { + "image_file": [ + "0076_0.jpg", + "0076_1.jpg", + "0076_2.jpg", + "0076_3.jpg", + "0076_4.jpg" + ], + "prompt": "Given a series of comic panels with the dialogue of the final panel obscured, can you choose the most suitable dialogue from the provided alternatives? You must choose your answer from the Choice List. Choice list:['ally - oop ', 'quick lance ! thru that door !! ', 'owl l pla ', 'mao ever this mana is , he ' s clever ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0272", + "input": { + "image_file": [ + "0272_0.jpg", + "0272_1.jpg", + "0272_2.jpg", + "0272_3.jpg", + "0272_4.jpg" + ], + "prompt": "Presented with a series of comic panels with the dialogue of the last one obscured, can you identify the most suitable dialogue from the four provided alternatives? You must choose your answer from the Choice List. Choice list:['the scheming two are ann mason ' s first cousins , they plunge into the thick of the jungle in search of her ', 'yes , white girl . in cave in those hills ', 'we have to find ann mason if we expect to get anything out of her father ' s fortune if we bring her back safely she may cut us in ', 'this must be the cave of this kaanga who - ever he is . ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0065", + "input": { + "image_file": [ + "0065_0.jpg", + "0065_1.jpg", + "0065_2.jpg", + "0065_3.jpg", + "0065_4.jpg" + ], + "prompt": "Given several comic panels and a last one with hidden dialogue, your task is to choose the dialogue that fits best from four candidates. You must choose your answer from the Choice List. Choice list:['deacon gets an answer .. ', 'just a minute i want to talk to to you ! ', 'so --! that ' s the way you play ! you won ' t pull a sneak punch on me ! ', 'why should this will wo as well ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0104", + "input": { + "image_file": [ + "0104_0.jpg", + "0104_1.jpg", + "0104_2.jpg", + "0104_3.jpg", + "0104_4.jpg" + ], + "prompt": "I will give you a series of comic panels. The dialogue box of the last panel is masked. Can you choose the most relevant one from the candidates? You must choose your answer from the Choice List. Choice list:['that be careful go to hurt toby ', 'far out in the pacific . ', 'a jap plane carrier ', 'those japs me ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg", + "0240_2.jpg", + "0240_3.jpg", + "0240_4.jpg" + ], + "prompt": "Upon viewing a sequence of comic panels with the final one having a hidden dialogue, could you determine the most fitting dialogue option from the available choices? You must choose your answer from the Choice List. Choice list:['my papers the secret agreement with claw carlos if anyone ever found that ', 'bah ! kings , soldiers , and couldn ' t even hold out against an un armed crew of pirates ... i - 1 - must leave here at once ', 'you ' ll be a cold stiff you rat ! ', 'look out ! there ' s one on the wall ! ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0433", + "input": { + "image_file": [ + "0433_0.jpg", + "0433_1.jpg", + "0433_2.jpg", + "0433_3.jpg", + "0433_4.jpg" + ], + "prompt": "Given previous full panels and one masked panel, your job is to select the most appropriate dialogue among four candidates. You must choose your answer from the Choice List. Choice list:['there must be some way we can make a fast buck around here with cour brains and that boat we could do the right party a lot of good on ', 'that ' s right , mister who ' re your ', 'for a little guy you sure have big ears ! ', 'either of you gents had any experience in deep - sea diving say in about 75 or ioo feet of water ? / o ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0270", + "input": { + "image_file": [ + "0270_0.jpg", + "0270_1.jpg", + "0270_2.jpg", + "0270_3.jpg", + "0270_4.jpg" + ], + "prompt": "You will be given a string of comic panels with the dialogue of the last one masked. Can you pick the most accurate dialogue from the given options? You must choose your answer from the Choice List. Choice list:['i guess im off duty too , h ', 'duty too , huh ? ', 'at ease ! i rescued her .. the missionary ' s daughter from up the hill an im off duty now ', 'yeah yeah what then ? ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg", + "0385_3.jpg", + "0385_4.jpg" + ], + "prompt": "I will give you a series of comic panels. The dialogue box of the last panel is masked. Can you choose the most relevant one from the candidates? You must choose your answer from the Choice List. Choice list:['ift didn t know i was awake , 1 d swear i was dreaming ... all right mister , put away the artillery -- we know when we ' re ', 'so you won ' t have to wear those oxygen helmets ', 'stand where you are earth man do not force us to kill you you can not escape look out the port hole earth is loo , ooo miles distant ! ', 'thanks now will you tell us what this is all about 2 ']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ComicPanelVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ComicPanelVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b132657bcc6a256ede05a555fcc0cdce2c8f327f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ComicPanelVQA/annotation.json @@ -0,0 +1,341 @@ +{ + "set_type": "closeset", + "task": "Comic Panel VQA", + "data_source": "COMICS_Panel", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "Art", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0162", + "input": { + "image_file": [ + "0162_0.jpg", + "0162_1.jpg", + "0162_2.jpg", + "0162_3.jpg", + "0162_4.jpg", + "0162_5.jpg", + "0162_6.jpg" + ], + "prompt": "With a string of comic panels in front of you, could you pick the most appropriate next panel from the available alternatives? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg", + "0151_1.jpg", + "0151_2.jpg", + "0151_3.jpg", + "0151_4.jpg", + "0151_5.jpg", + "0151_6.jpg" + ], + "prompt": "Presented with a sequence of comic panels, can you determine the most fitting next panel from the given choices? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0069", + "input": { + "image_file": [ + "0069_0.jpg", + "0069_1.jpg", + "0069_2.jpg", + "0069_3.jpg", + "0069_4.jpg", + "0069_5.jpg", + "0069_6.jpg" + ], + "prompt": "Upon examining a series of comic panels, your task is to select the subsequent panel from the provided options. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0207", + "input": { + "image_file": [ + "0207_0.jpg", + "0207_1.jpg", + "0207_2.jpg", + "0207_3.jpg", + "0207_4.jpg", + "0207_5.jpg", + "0207_6.jpg" + ], + "prompt": "I will give you a series of comic panels. You are supposed to select the next panel from candidates. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0371", + "input": { + "image_file": [ + "0371_0.jpg", + "0371_1.jpg", + "0371_2.jpg", + "0371_3.jpg", + "0371_4.jpg", + "0371_5.jpg", + "0371_6.jpg" + ], + "prompt": "Presented with a number of sequential comic panels, your task is to determine the most suitable next panel from the four options. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0230", + "input": { + "image_file": [ + "0230_0.jpg", + "0230_1.jpg", + "0230_2.jpg", + "0230_3.jpg", + "0230_4.jpg", + "0230_5.jpg", + "0230_6.jpg" + ], + "prompt": "Presented with a sequence of comic panels, can you determine the most fitting next panel from the given choices? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0338", + "input": { + "image_file": [ + "0338_0.jpg", + "0338_1.jpg", + "0338_2.jpg", + "0338_3.jpg", + "0338_4.jpg", + "0338_5.jpg", + "0338_6.jpg" + ], + "prompt": "When given a sequence of comic panels, can you choose the panel that best continues the storyline from the provided options? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0490", + "input": { + "image_file": [ + "0490_0.jpg", + "0490_1.jpg", + "0490_2.jpg", + "0490_3.jpg", + "0490_4.jpg", + "0490_5.jpg", + "0490_6.jpg" + ], + "prompt": "Upon viewing a series of comic panels, can you select the next panel that best fits the sequence from the candidates? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0318", + "input": { + "image_file": [ + "0318_0.jpg", + "0318_1.jpg", + "0318_2.jpg", + "0318_3.jpg", + "0318_4.jpg", + "0318_5.jpg", + "0318_6.jpg" + ], + "prompt": "With a string of comic panels in front of you, could you pick the most appropriate next panel from the available alternatives? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0481", + "input": { + "image_file": [ + "0481_0.jpg", + "0481_1.jpg", + "0481_2.jpg", + "0481_3.jpg", + "0481_4.jpg", + "0481_5.jpg", + "0481_6.jpg" + ], + "prompt": "Given a string of comic panels, your objective is to select the most appropriate following panel from the provided alternatives. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0335", + "input": { + "image_file": [ + "0335_0.jpg", + "0335_1.jpg", + "0335_2.jpg", + "0335_3.jpg", + "0335_4.jpg", + "0335_5.jpg", + "0335_6.jpg" + ], + "prompt": "Presented with a number of sequential comic panels, your task is to determine the most suitable next panel from the four options. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0026", + "input": { + "image_file": [ + "0026_0.jpg", + "0026_1.jpg", + "0026_2.jpg", + "0026_3.jpg", + "0026_4.jpg", + "0026_5.jpg", + "0026_6.jpg" + ], + "prompt": "Presented with a sequence of comic panels, can you determine the most fitting next panel from the given choices? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0259", + "input": { + "image_file": [ + "0259_0.jpg", + "0259_1.jpg", + "0259_2.jpg", + "0259_3.jpg", + "0259_4.jpg", + "0259_5.jpg", + "0259_6.jpg" + ], + "prompt": "Upon viewing a series of comic panels, can you select the next panel that best fits the sequence from the candidates? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0211", + "input": { + "image_file": [ + "0211_0.jpg", + "0211_1.jpg", + "0211_2.jpg", + "0211_3.jpg", + "0211_4.jpg", + "0211_5.jpg", + "0211_6.jpg" + ], + "prompt": "With a string of comic panels in front of you, could you pick the most appropriate next panel from the available alternatives? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg", + "0240_2.jpg", + "0240_3.jpg", + "0240_4.jpg", + "0240_5.jpg", + "0240_6.jpg" + ], + "prompt": "With a sequence of comic panels provided, could you identify the most relevant next panel from the available choices? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0360", + "input": { + "image_file": [ + "0360_0.jpg", + "0360_1.jpg", + "0360_2.jpg", + "0360_3.jpg", + "0360_4.jpg", + "0360_5.jpg", + "0360_6.jpg" + ], + "prompt": "Having a number of comic panels in a sequence, can you discern which of the four options would best continue the storyline? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0073", + "input": { + "image_file": [ + "0073_0.jpg", + "0073_1.jpg", + "0073_2.jpg", + "0073_3.jpg", + "0073_4.jpg", + "0073_5.jpg", + "0073_6.jpg" + ], + "prompt": "Presented with a number of sequential comic panels, your task is to determine the most suitable next panel from the four options. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0033", + "input": { + "image_file": [ + "0033_0.jpg", + "0033_1.jpg", + "0033_2.jpg", + "0033_3.jpg", + "0033_4.jpg", + "0033_5.jpg", + "0033_6.jpg" + ], + "prompt": "Presented with a number of sequential comic panels, your task is to determine the most suitable next panel from the four options. You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0330", + "input": { + "image_file": [ + "0330_0.jpg", + "0330_1.jpg", + "0330_2.jpg", + "0330_3.jpg", + "0330_4.jpg", + "0330_5.jpg", + "0330_6.jpg" + ], + "prompt": "Upon viewing a series of comic panels, can you select the next panel that best fits the sequence from the candidates? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0468", + "input": { + "image_file": [ + "0468_0.jpg", + "0468_1.jpg", + "0468_2.jpg", + "0468_3.jpg", + "0468_4.jpg", + "0468_5.jpg", + "0468_6.jpg" + ], + "prompt": "Presented with a sequence of comic panels, can you determine the most fitting next panel from the given choices? You must choose your answer from the Choice List. Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ComplexMulti-ScenarioDialogue/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ComplexMulti-ScenarioDialogue/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..94944c006b7a3db417acd7d86802eb474ed8aa79 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ComplexMulti-ScenarioDialogue/annotation.json @@ -0,0 +1,146 @@ +{ + "set_type": "closeset", + "task": "Complex Multi-Scenario Dialogue", + "data_source": "MMCoQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0387", + "input": { + "image_file": [ + "0387_0.jpg", + "0387_1.jpg", + "0387_2.jpg", + "0387_3.jpg", + "0387_4.jpg" + ], + "prompt": "Using a collection of relevant information, including graphics, text, tables, and a history of Q&A, your job is to accurately answer the forthcoming question.Global Table: History Context 1: Text: Serena Williams won the title, her 7th Australian title overall and first Australian Open where she did not lose a set during the tournament. She also regained the No. 1 ranking, defeating her sister Venus Williams in the final, 6\u20134, 6\u20134. This marks the first time the Williams sisters met in a Grand Slam final since the 2009 Wimbledon Championships and the first time they met in the Australian Open final since 2003. Question: Who is the 2017 Australian Open women's singles champion? Answer: Serena Williams. History Context 2: Question: What's on Serena Williams' head? Answer: headband. History Context 3: Text: Serena Williams won the title, her 7th Australian title overall and first Australian Open where she did not lose a set during the tournament. She also regained the No. 1 ranking, defeating her sister Venus Williams in the final, 6\u20134, 6\u20134. This marks the first time the Williams sisters met in a Grand Slam final since the 2009 Wimbledon Championships and the first time they met in the Australian Open final since 2003. Question: who wins the 2017 australian open women's single title Answer: Serena Williams. History Context 4: Question: Is Serena Williams wearing a necklace? Answer: yes. History Context 5: Text: Williams then came back to Wimbledon, one month after winning the title to represent the United States in the Olympics. In the first round she faced former number one Jelena Jankovi\u0107 and won the match in just 61 minutes. She served 8 aces and did not face a single break point. She then competed against Poland's Urszula Radwa\u0144ska in the second round. Williams won the first set with a break, and won the second set with a single break. Williams served 8 aces and had 26 winners in her one-hour-and-13-minute victory. Her third round match was a repeat of the 2010 Wimbledon Championships final, as she faced Vera Zvonareva. The American dominated the Russian as she won the first five games before the Russian won a game. Williams then won the last seven games to win the match in just 51 minutes. In the quarterfinals, she faced former number one Caroline Wozniacki of Denmark. Williams dominated the proceedings winning the first eight games before the Dane stopped her fifteen-game winning streak and won the ninth game of the match. However, Wozniacki could not break Williams' serve and the American closed out the match in 77 minutes. In the semifinals, she faced world number one Victoria Azarenka for the third time in 2012. Despite Azarenka's number one ranking, Williams dominated the match winning one and two and served 16 aces and did not face a single break point. In the final she faced Russian Maria Sharapova for the gold medal. Williams dominated the match taking the first nine games in just 45 minutes before her Russian opponent won a game. Williams then took the next three games to win for her 8th consecutive win against Sharapova. Williams served ten aces and two double faults to Sharapova's one and five. Williams also hit 24 winners to 7 unforced errors compared to Sharapova's six winners, and ten unforced errors. This win gave Serena a Career Golden Slam in Singles, only the second woman to do so. Question: Who was runner-up in the 2010 WTA Super League when Victoria Azarenka won Answer: Jelena Jankovi\u0107. Urszula Radwa\u0144ska. Vera Zvonareva. Caroline Wozniacki. Victoria Azarenka. Maria Sharapova. History Context 6: Table: Question: Who was defeated by Serena Williams at the Olympics? Answer: Maria Sharapova. Maria Kirilenko. History Context 7: Table: Question: Who came in second place in the 2010 WTA Premier Tournament when Victoria Azarenka won, who was also beat by Serena Williams in the Olympics? Answer: Maria Sharapova. Current Context: Text: Anthony Dalton Roche, AO MBE (born 17 May 1945) is a former professional Australian tennis player, native of Tarcutta. He played junior tennis in the New South Wales regional city of Wagga Wagga. He won one Grand Slam singles title and thirteen Grand Slam doubles titles, and was ranked as high as World No. 2 by Lance Tingay of The Daily Telegraph in 1969. He also coached multi-Grand Slam winning World No. 1s, Ivan Lendl, Patrick Rafter, Roger Federer, Lleyton Hewitt and former World No. 4, Jelena Dokic. Question: Who was born first Victoria Azarenka or Tony Roche? Answer:" + }, + "output": {} + }, + { + "id": "0342", + "input": { + "image_file": [ + "0342_0.jpg", + "0342_1.jpg", + "0342_2.jpg", + "0342_3.jpg", + "0342_4.jpg", + "0342_5.jpg", + "0342_6.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: History Context 1: Table: Question: What was the NRL afilliation of the team whose home field is BMD Kougari Oval and played in the 2018 Queensland Cup? Answer: Brisbane Broncos. History Context 2: Question: Which team has a logo featured a horse? Answer: Brisbane Broncos. History Context 3: Table: Question: In Round 7 of the 2014 NRL season, what was the score when the it was the visiting team? Answer: 6 - 32. History Context 4: Question: Which team has a logo featuring a horse? Answer: Brisbane Broncos. History Context 5: Table: Question: When looking at the second-round listings in 2020's NRL season results, who were the visitor who played against this team? Answer: South Sydney Rabbitohs. Current Context: Question: Which team had a logo featuring a horse? Answer:" + }, + "output": {} + }, + { + "id": "0076", + "input": { + "image_file": [ + "0076_0.jpg", + "0076_1.jpg", + "0076_2.jpg" + ], + "prompt": "Using a collection of relevant information, including graphics, text, tables, and a history of Q&A, your job is to accurately answer the forthcoming question.Global Table: History Context 1: Text: Dimitri Tikovo\u00ef is a French record producer and DJ who has worked with bands including Placebo, The Horrors, Charli XCX, Mikky Ekko, Marianne Faithfull, and Nicola Roberts. In 2002, Tikovoi released an album under the name \"Trash Palace\" (Positions, featuring Brian Molko, John Cale, Marc Almond, Asia Argento and others). Text: Brian Molko (born 10 December 1972) is a British musician and songwriter who is lead vocalist and guitarist of the band Placebo. He is known in particular for his distinctive nasal, high-pitched vocals, androgynous appearance, and unique guitar style and tuning. Question: The French record producer and DJ, Dimitri Tikovo\u00ef has worked with artists including The Horrors, Charli XCX, Nicola Roberts, and which lead-vocalist of the band Placebo? Answer: Brian Molko. History Context 2: Question: What is the color of Charli wearing? Answer: red. Current Context: Question: What is the color of her hair? Answer:" + }, + "output": {} + }, + { + "id": "0325", + "input": { + "image_file": [ + "0325_0.jpg", + "0325_1.jpg", + "0325_2.jpg" + ], + "prompt": "Drawing upon a pool of relevant data, including imagery, textual data, tables, and previous Q&A exchanges, your responsibility is to correctly answer the impending question.Global Table: History Context 1: Table: Question: What was the name of the 2016 TV show in which Dimiter Marinov played Fyodor? Answer: The Americans. Current Context: Question: What is the reality show with two silhouettes on the poster? Answer:" + }, + "output": {} + }, + { + "id": "0471", + "input": { + "image_file": [ + "0471_0.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: History Context 1: Text: Kellie Castle is a castle just outside Arncroach, about 5 kilometres north of Pittenweem in the East Neuk of Fife, Scotland. Question: What is the name of the castle where Sir John Gordon was forced to surrender under Argyll in 1644? Answer: Kellie Castle. History Context 2: Text: Meggernie Castle is a castle in the heart of Perth and Kinross, in central Scotland. It is located halfway up Glenlyon, where the river Lyon flows through on its way to join Loch Tay. From the 1920s until the 1950s, the castle was owned by Sir Ernest Wills, 3rd Baronet. Question: The castle that was the Seat of the Culdares line was owned by what person from the 1920s until the 1950s? Answer: Sir Ernest Wills. Current Context: Text: Meggernie Castle is a castle in the heart of Perth and Kinross, in central Scotland. It is located halfway up Glenlyon, where the river Lyon flows through on its way to join Loch Tay. From the 1920s until the 1950s, the castle was owned by Sir Ernest Wills, 3rd Baronet. Question: In what country is the castle that was the Seat of the Culdares line? Answer:" + }, + "output": {} + }, + { + "id": "0009", + "input": { + "image_file": [ + "0009_0.jpg", + "0009_1.jpg", + "0009_2.jpg" + ], + "prompt": "Given the available relevant resources including images, texts, tables, and previous Q&A sessions, your task is to accurately answer the forthcoming question.Global Table: History Context 1: Text: When Ali Came to Ireland is a 2012 Irish documentary film directed by Ross Whitaker. It tells the story of how Killorglin-born circus strongman and publican, Michael \"Butty\" Sugrue, put up \u00a3300,000 and persuaded Muhammad Ali to make his first visit to Ireland to fight against Alvin Lewis in Croke Park on 19 July 1972. Question: who did muhammad ali fight in croke park Answer: Alvin Lewis. History Context 2: Question: When looking at Mark Vaughan\u2019s championship appearances, which opposing team\u2019s logo has a building Answer: Wexford GAA. Laois GAA. Westmeath GAA. Mayo GAA. Current Context: Question: When looking at Mark Vaughan's championship appearances, which of the opposing teams played against Vaughan's team at the Croke Park, Dublin venue? Answer:" + }, + "output": {} + }, + { + "id": "0041", + "input": { + "image_file": [ + "0041_0.jpg", + "0041_1.jpg", + "0041_2.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: History Context 1: Table: Question: Was E. Els the athlete when the fourballs was 0-0-0 at the Int'l Presidents Cup of '96? Answer: No. Current Context: Question: What is he wearing on his left hand? Answer:" + }, + "output": {} + }, + { + "id": "0389", + "input": { + "image_file": [ + "0389_0.jpg", + "0389_1.jpg", + "0389_2.jpg", + "0389_3.jpg" + ], + "prompt": "Using a collection of relevant information, including graphics, text, tables, and a history of Q&A, your job is to accurately answer the forthcoming question.Global Table: History Context 1: Question: How many lighttowers surround Metropolitan Stadium? Answer: five. History Context 2: Text: The Hubert H. Humphrey Metrodome (commonly called the Metrodome) was a domed sports stadium located in downtown Minneapolis, Minnesota. It opened in 1982 as a replacement for Metropolitan Stadium, the former home of the National Football League's (NFL) Minnesota Vikings and Major League Baseball's (MLB) Minnesota Twins, and Memorial Stadium, the former home of the Minnesota Golden Gophers football team. Text: The 2009 American League Central tie-breaker game was a one-game extension to Major League Baseball's (MLB) 2009 regular season, played between the Detroit Tigers and Minnesota Twins to determine the champion of the American League's (AL) Central Division. It was played at the Hubert H. Humphrey Metrodome in Minneapolis, Minnesota, on October 6, 2009. The Twins won the game 6\u20135 in extra innings and advanced to the 2009 AL Division Series where they were swept by the New York Yankees; the Tigers failed to qualify for the postseason. Question: What stadium was built to replace Metropolitan Stadium and held the 2009 American League Central tie-breaker game? Answer: Hubert H. Humphrey Metrodome. History Context 3: Text: As of 2016, six teams do not have cheerleading squads: Buffalo Bills, Chicago Bears, Cleveland Browns, Green Bay Packers, New York Giants, and the Pittsburgh Steelers. The Packers do, however, use a collegiate squad to cheer at home games. Super Bowl XLV between the Steelers and the Packers in February 2011 was the first time a Super Bowl featured no cheerleaders. The Browns and the Giants are the only NFL teams that have never had cheerleaders, while the other aforementioned teams have had cheer squads in the past. However, there are reports that the Browns did have cheerleaders in 1971, but no records exist. Question: What opponents did the Minnesota Vikings play in the Hubert H. Humphrey Metrodome regular season in 1997 Answer: Buffalo Bills. Chicago Bears. Cleveland Browns. Green Bay Packers. New York Giants. Pittsburgh Steelers. History Context 4: Table: Question: In the 1997 Minnesota Vikings' regular season at the Hubert H. Humphrey Metrodome, which of these teams did not have cheerleaders? Answer: Tampa Bay Buccaneers. Philadelphia Eagles. Carolina Panthers. New England Patriots. Chicago Bears. Green Bay Packers. Detroit Lions. Indianapolis Colts. Current Context: Question: Which opponents in the 1997 regular season for the Minnesota Vikings that played at the Hubert H. Humphrey Metrodome don't have cheerleaders? Answer:" + }, + "output": {} + }, + { + "id": "0022", + "input": { + "image_file": [ + "0022_0.jpg", + "0022_1.jpg", + "0022_2.jpg" + ], + "prompt": "Given a set of relevant data, comprising images, text, tables, as well as prior Q&A interactions, please provide an accurate response to the subsequent query.Global Table: History Context 1: Question: What is Mike Bryan wearing on his right wrist? Answer: wristband. History Context 2: Text: Patrick John McEnroe (born July 1, 1966) is a former professional tennis player and the former captain of the United States Davis Cup team. Text: Michael Carl Bryan (born April 29, 1978) is an American professional tennis player. The right-hander turned professional in 1998. With his twin brother Bob, he has been world No. 1 doubles player for much of the last several years, first achieving top ranking in September 2003, and they became the second men's doubles team to complete the career golden slam by winning the 2012 Summer Olympics. He currently holds the records for the most ATP men's doubles titles (115) and final appearances (171), and is tied for fourth all-time in men's titles in the Open Era, all with his brother with the exception of one with Mahesh Bhupathi and another with Mark Knowles. Question: what's the sport played by both he and Patrick McEnroe? Answer: tennis. Current Context: Question: The athlete playing the same sport is wearing what around his head? Answer:" + }, + "output": {} + }, + { + "id": "0313", + "input": { + "image_file": [ + "0313_0.jpg", + "0313_1.jpg", + "0313_2.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Question: Among the teams in the 2006-07 Top 14 season, what's the team with the star on their logo play? Answer: CA Brive. Current Context: Question: Among the teams in the season, in which stadium did the team play? Answer:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Context-AwareEmbodiedAgentDialogue/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Context-AwareEmbodiedAgentDialogue/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f2585c6c0909c1e4e9a275cacb1b28018e533b12 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Context-AwareEmbodiedAgentDialogue/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Context-Aware Embodied Agent Dialogue", + "data_source": "alfred", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "General", + "general_capability": [ + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0271", + "input": { + "image_file": [ + "0271_0.jpg", + "0271_1.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: put the watch on the table from the tv Step Details: Step#1: turn left then turn right towards the tv and look down Current Step: " + }, + "output": {} + }, + { + "id": "0022", + "input": { + "image_file": [ + "0022_0.jpg", + "0022_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Look at the basketball in the light from the lamp. Step Details: Step#1: Walk to the foot of the bed. Current Step: " + }, + "output": {} + }, + { + "id": "0338", + "input": { + "image_file": [ + "0338_0.jpg", + "0338_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Put a warmed apple in the fridge. Step Details: Step#1: Turn right and then right again to face the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0499", + "input": { + "image_file": [ + "0499_0.jpg", + "0499_1.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place a credit card into a drawer Step Details: Step#1: Turn to the right and cross the room, turn right and walk to the end of the table on your right. Current Step: " + }, + "output": {} + }, + { + "id": "0162", + "input": { + "image_file": [ + "0162_0.jpg", + "0162_1.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Picking up a book and turning on a light to read it by Step Details: Step#1: Turn right towards the bed Current Step: " + }, + "output": {} + }, + { + "id": "0214", + "input": { + "image_file": [ + "0214_0.jpg", + "0214_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Examine the remote control under the light of the floor lamp Step Details: Step#1: Walk slightly forward and turn left to face the coffee table Current Step: " + }, + "output": {} + }, + { + "id": "0073", + "input": { + "image_file": [ + "0073_0.jpg", + "0073_1.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Place a washed pan on a counter. Step Details: Step#1: Turn around, walk, turn right to enter the kitchen, and walk to the stove. Current Step: " + }, + "output": {} + }, + { + "id": "0325", + "input": { + "image_file": [ + "0325_0.jpg", + "0325_1.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Move a newspaper from a dresser to a black couch. Step Details: Step#1: Turn around to walk across the room to the small black dresser on the right out of three. Current Step: " + }, + "output": {} + }, + { + "id": "0182", + "input": { + "image_file": [ + "0182_0.jpg", + "0182_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: drop a clean mug on the coffee maker Step Details: Step#1: turn right to the coffee maker Current Step: " + }, + "output": {} + }, + { + "id": "0254", + "input": { + "image_file": [ + "0254_0.jpg", + "0254_1.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place a heated tomato in a fridge. Step Details: Step#1: Turn around and walk to the fridge. Current Step: " + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg", + "0151_1.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Put a glass and a knife in a sink. Step Details: Step#1: Turn left and walk to the sink on the left. Current Step: " + }, + "output": {} + }, + { + "id": "0120", + "input": { + "image_file": [ + "0120_0.jpg", + "0120_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Put a microwaved slice of bread in the fridge. Step Details: Step#1: Turn around and walk toward the stove, then turn right to face the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0163", + "input": { + "image_file": [ + "0163_0.jpg", + "0163_1.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Carry a book to the lamp, turn on the lamp Step Details: Step#1: Move to the side of the bed facing the green book on top of the bed Current Step: " + }, + "output": {} + }, + { + "id": "0283", + "input": { + "image_file": [ + "0283_0.jpg", + "0283_1.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: move the red cloth from the cabinet to the tub Step Details: Step#1: turn right to the vanity Current Step: " + }, + "output": {} + }, + { + "id": "0337", + "input": { + "image_file": [ + "0337_0.jpg", + "0337_1.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Turn on a green lamp with a credit card. Step Details: Step#1: Turn right and face the round table with. Current Step: " + }, + "output": {} + }, + { + "id": "0098", + "input": { + "image_file": [ + "0098_0.jpg", + "0098_1.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put two books on the desk. Step Details: Step#1: move to the end table to the right of the bed Current Step: " + }, + "output": {} + }, + { + "id": "0231", + "input": { + "image_file": [ + "0231_0.jpg", + "0231_1.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Place a frying pan in the fridge and take it out. Step Details: Step#1: Turn left and go around the table. Turn slight left again and go forward to the oven. Current Step: " + }, + "output": {} + }, + { + "id": "0306", + "input": { + "image_file": [ + "0306_0.jpg", + "0306_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Examine the pillow in the light of the lamp on the table. Step Details: Step#1: Turn right, head to the right side of the bed, turn left to face the pillow on the bed. Current Step: " + }, + "output": {} + }, + { + "id": "0052", + "input": { + "image_file": [ + "0052_0.jpg", + "0052_1.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Put a clean bar of soap in a cabinet. Step Details: Step#1: Turn around to face the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0089", + "input": { + "image_file": [ + "0089_0.jpg", + "0089_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a clean plate on the counter. Step Details: Step#1: Turn right and go to the counter, to the left of the stove. Current Step: " + }, + "output": {} + }, + { + "id": "0158", + "input": { + "image_file": [ + "0158_0.jpg", + "0158_1.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Place a mug with a fork in it onto the round kitchen table. Step Details: Step#1: Turn around and walk over to the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0275", + "input": { + "image_file": [ + "0275_0.jpg", + "0275_1.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Examine a CD under a lamp. Step Details: Step#1: Walk to the desk in front of you and turn left towards the shelf above it Current Step: " + }, + "output": {} + }, + { + "id": "0097", + "input": { + "image_file": [ + "0097_0.jpg", + "0097_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put the toilet paper in the cabinet. Put the empty toilet paper roll in to the cabinet. Step Details: Step#1: Go to the sink Current Step: " + }, + "output": {} + }, + { + "id": "0290", + "input": { + "image_file": [ + "0290_0.jpg", + "0290_1.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: To cut put 1 1/3 apples on the counter. Step Details: Step#1: Turn left, walk across the room and turn right to face the trash can. Current Step: " + }, + "output": {} + }, + { + "id": "0119", + "input": { + "image_file": [ + "0119_0.jpg", + "0119_1.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Inspect a bowl near a lit lamp. Step Details: Step#1: Go straight to the desk chair, then turn right to face the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0419", + "input": { + "image_file": [ + "0419_0.jpg", + "0419_1.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Turn on a light as you hold a remote. Step Details: Step#1: Turn around and walk into the other room then walk over to the tv so you are facing it. Current Step: " + }, + "output": {} + }, + { + "id": "0105", + "input": { + "image_file": [ + "0105_0.jpg", + "0105_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Inspect keys near a lit lamp. Step Details: Step#1: Turn right and go to the dresser at the far right corner by the end of the bed. Current Step: " + }, + "output": {} + }, + { + "id": "0296", + "input": { + "image_file": [ + "0296_0.jpg", + "0296_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: examine a phone with a lamp Step Details: Step#1: walk forward to the dresser Current Step: " + }, + "output": {} + }, + { + "id": "0096", + "input": { + "image_file": [ + "0096_0.jpg", + "0096_1.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: To move two bars of soap to the back of the toilet. Step Details: Step#1: Walk to the sink on the left side. Current Step: " + }, + "output": {} + }, + { + "id": "0113", + "input": { + "image_file": [ + "0113_0.jpg", + "0113_1.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Move a candle from a counter to the top of a toilet. Step Details: Step#1: Turn around and walk forward to the candle on the counter in front of the sink on the right. Current Step: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/CultureImageVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/CultureImageVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..79e71df415bc8d198c5053d4e5055fe1f21c4f9c --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/CultureImageVisualQuestionAnswering/annotation.json @@ -0,0 +1,202 @@ +{ + "task": "Culture Image Visual Question Answering", + "data_source": "CII-Bench", + "type": "image comprehension", + "modality": { + "in": [ + "images", + "text", + "options" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": "Culture", + "general_capability": "Content Recognition, Reasoning Ability", + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "culture_image_vqa0232", + "input": { + "image_file": "culture_image_vqa0232.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u5b9e\u73b0\u76ee\u6807\u4e0d\u9700\u8981\u8fd0\u6c14\u3002", + "option2": "\u575a\u6301\u5c31\u662f\u80dc\u5229\u3002", + "option3": "\u6211\u4eec\u5e94\u8be5\u5236\u5b9a\u4e0e\u81ea\u5df1\u80fd\u529b\u5339\u914d\u7684\u76ee\u6807\u3002", + "option4": "\u5b9e\u73b0\u76ee\u6807\u9700\u8981\u6c38\u4e0d\u8a00\u8d25\u3002", + "option5": "\u6539\u53d8\u76ee\u6807\u4e5f\u662f\u4e00\u6761\u6377\u5f84\u3002", + "option6": "\u4eba\u751f\u5c31\u662f\u4e0d\u65ad\u8bd5\u9519\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0230", + "input": { + "image_file": "culture_image_vqa0230.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u5f69\u65d7\u98d8\u626c\u6d0b\u6ea2\u7740\u8282\u65e5\u7684\u6c14\u606f\u3002", + "option2": 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"\u5728\u8ffd\u6c42\u76ee\u6807\u7684\u8fc7\u7a0b\u4e2d\uff0c\u8010\u5fc3\u4e0e\u575a\u6301\u5f80\u5f80\u6bd4\u901f\u5ea6\u66f4\u4e3a\u91cd\u8981\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0480", + "input": { + "image_file": "culture_image_vqa0480.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u8c61\u5f81\u7740\u4eba\u4eec\u9762\u5bf9\u95ee\u9898\u65f6\u7684\u5fc3\u7406\u5386\u7a0b\uff1a\u6700\u521d\u7684\u6124\u6012\u548c\u5426\u8ba4\uff08\u6254\u6389\u70df\u6597\uff09\uff0c\u7136\u540e\u662f\u79ef\u6781\u884c\u52a8\uff08\u8dd1\u4e0b\u697c\u68af\uff09\uff0c\u6700\u540e\u662f\u63a5\u53d7\u548c\u89e3\u51b3\u95ee\u9898\uff08\u63a5\u4f4f\u70df\u6597\uff09", + "option2": "\u63d0\u9192\u4eba\u4eec\u4e0d\u8981\u534a\u9014\u800c\u5e9f\uff0c\u8981\u6709\u51b3\u5fc3\u3002", + "option3": "\u9690\u55bb\u4e86\u81ea\u6211\u8ba4\u77e5\u548c\u4e2a\u4eba\u6210\u957f\u7684\u8fc7\u7a0b", + "option4": "\u8b66\u544a\u5927\u5bb6\u4e0d\u8981\u5728\u516c\u5171\u573a\u6240\u5438\u70df", + "option5": "\u6697\u793a\u7740\u751f\u6d3b\u4e2d\u8bb8\u591a\u60c5\u51b5\u90fd\u662f\u5faa\u73af\u7684", + "option6": "\u9690\u55bb\u4eba\u4eec\u5728\u6124\u6012\u6216\u51b2\u52a8\u65f6\u505a\u51fa\u7684\u51b3\u5b9a\u5f80\u5f80\u4f1a\u53cd\u8fc7\u6765\u5f71\u54cd\u81ea\u5df1\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0013", + "input": { + "image_file": "culture_image_vqa0013.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u8be5\u56fe\u4e3a\u5bcc\u6625\u5c71\u5c45\u56fe\uff0c\u901a\u8fc7\u7ec6\u817b\u7684\u7b14\u89e6\u63cf\u7ed8\u81ea\u7136\u754c\u7684\u6811\u6728\u3001\u5761\u77f3\u548c\u8fdc\u5c71\uff0c\u4ee5\u53ca\u4eba\u7269\u7684\u7cbe\u81f4\u63cf\u7ed8\uff0c\u9690\u55bb\u4e86\u81ea\u7136\u4e0e\u4eba\u7c7b\u751f\u6d3b\u7684\u548c\u8c10\u5171\u5b58\u3002", + "option2": "\u8be5\u56fe\u4e3a\u5343\u91cc\u6c5f\u5c71\u56fe\uff0c\u5168\u56fe\u4ee5\u9a6c\u4e3a\u4e3b\u9898\uff0c\u63cf\u7ed8\u4e86100\u5339\u5f62\u6001\u5404\u5f02\u7684\u9a8f\u9a6c\uff0c\u751f\u52a8\u5730\u5c55\u73b0\u4e86\u9a6c\u7684\u52a8\u6001\u548c\u795e\u6001\u9a6c\u7fa4\u7684\u548c\u8c10\u5171\u5904\uff0c\u53ef\u4ee5\u8c61\u5f81\u56fd\u5bb6\u7684\u7edf\u4e00\u4e0e\u793e\u4f1a\u7684\u548c\u8c10\u3002", + "option3": "\u8be5\u56fe\u4e3a\u65e9\u6625\u56fe\uff0c\u8863\u7eb9\u7684\u98d8\u9038\u63cf\u7ed8\u4e0e\u6811\u7684\u5de5\u7ec6\u63cf\u7ed8\u5f62\u6210\u5bf9\u6bd4\uff0c\u9690\u55bb\u4e86\u7cbe\u795e\u7684\u81ea\u7531\u4e0e\u73b0\u5b9e\u7684\u675f\u7f1a\u4e4b\u95f4\u7684\u5f20\u529b\u3002", + "option4": "\u8be5\u56fe\u4e3a\u6e05\u660e\u4e0a\u6cb3\u56fe\uff0c\u8fd9\u5e45\u753b\u4f5c\u4ee5\u6e05\u660e\u65f6\u8282\u7684\u6c74\u4eac\u57ce\u90ca\u4e3a\u80cc\u666f\uff0c\u63cf\u7ed8\u4e86\u5f53\u65f6\u793e\u4f1a\u751f\u6d3b\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u5305\u62ec\u5e02\u4e95\u751f\u6d3b\u3001\u5546\u4e1a\u6d3b\u52a8\u3001\u4ea4\u901a\u72b6\u51b5\u3001\u4eba\u7269\u6027\u683c\u7b49\uff0c\u5c55\u73b0\u4e86\u5317\u5b8b\u65f6\u671f\u793e\u4f1a\u7684\u7e41\u8363\u666f\u8c61\u548c\u4eba\u6c11\u751f\u6d3b\u7684\u4e30\u5bcc\u591a\u5f69\u3002", + "option5": "\u8be5\u56fe\u4e3a\u4e94\u725b\u56fe\uff0c\u8fd9\u5e45\u753b\u63cf\u7ed8\u4e86\u4e94\u5934\u5f62\u6001\u5404\u5f02\u7684\u725b\uff0c\u6bcf\u5934\u725b\u90fd\u6829\u6829\u5982\u751f\uff0c\u5c55\u73b0\u4e86\u725b\u7684\u52a8\u6001\u548c\u9759\u6001\u4e4b\u7f8e\uff0c\u8c61\u5f81\u7740\u4eba\u4e0e\u81ea\u7136\u4e4b\u95f4\u7684\u7cbe\u795e\u8054\u7cfb\u548c\u76f8\u4e92\u4f9d\u5b58\u3002", + "option6": "\u8be5\u56fe\u4e3a\u5b88\u5b5d\u56fe\uff0c\u901a\u8fc7\u8352\u5bd2\u5bc2\u5be5\u7684\u6c1b\u56f4\u70d8\u6258\uff0c\u4ee5\u666f\u886c\u60c5\uff0c\u8425\u9020\u51fa\u54c0\u5a49\u51c4\u5e7d\u7684\u610f\u5883\uff0c\u751f\u52a8\u5730\u8868\u73b0\u4e86\u50cf\u4e3b\u7684\u54c0\u601d\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0306", + "input": { + "image_file": "culture_image_vqa0306.jpg", + "prompt": "\u56fe\u7247\u4e2d\u7684\u4eba\u662f\u7b11\u8138\uff0c\u5b9e\u9645\u4e0a\u662f\u4ec0\u4e48\u60c5\u7eea\uff1f", + "options": { + "option1": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u65e0\u52a9\u7684\u60c5\u7eea\u3002", + "option2": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u65e0\u8bed\u7684\u60c5\u7eea\u3002", + "option3": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u65e0\u5948\u7684\u60c5\u7eea\u3002", + "option4": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u4e0d\u5f00\u5fc3\u7684\u60c5\u7eea\u3002", + "option5": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u6124\u6012\u7684\u60c5\u7eea\u3002", + "option6": "\u867d\u7136\u662f\u7b11\u7740\u7684\uff0c\u4f46\u662f\u7ed3\u5408\u201c\u518d\u4e0d\u7761\u6c34\u6ef4\u7b79\u89c1\u201d\u7684\u8bbd\u523a\u53ef\u4ee5\u77e5\u9053\u5b9e\u9645\u4e0a\u662f\u96be\u8fc7\u7684\u60c5\u7eea\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0224", + "input": { + "image_file": "culture_image_vqa0224.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u62e5\u6709\u5065\u8eab\u5668\u6750\u5c31\u80fd\u81ea\u52a8\u53d8\u5065\u5eb7", + "option2": "\u5065\u8eab\u662f\u51cf\u80a5\u7684\u6700\u4f73\u65b9\u5f0f", + "option3": "\u953b\u70bc\u5b8c\u5fc5\u987b\u53ca\u65f6\u53bb\u5e8a\u4e0a\u4f11\u606f", + "option4": "\u5065\u8eab\u671f\u95f4\u9700\u8981\u6709\u8db3\u591f\u7684\u4f11\u606f\uff0c\u5426\u5219\u4f1a\u635f\u4f24\u8eab\u4f53", + "option5": "\u8bbd\u523a\u4e86\u73b0\u4ee3\u4eba\u7684\u6d88\u8d39\u89c2\uff0c\u5f80\u5f80\u51b2\u52a8\u8d2d\u4e70\u4e0d\u9700\u8981\u7684\u7269\u54c1", + "option6": "\u6279\u5224\u90a3\u4e9b\u8868\u9762\u70ed\u8877\u4e8e\u8fd0\u52a8\uff0c\u4f46\u5b9e\u9645\u4e0a\u751f\u6d3b\u65b9\u5f0f\u4e0e\u5065\u5eb7\u76ee\u6807\u76f8\u6096\u7684\u4eba" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0301", + "input": { + "image_file": "culture_image_vqa0301.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u76db\u5f00\u7684\u8537\u8587\u8c61\u5f81\u7740\u751f\u547d\u7684\u7e41\u8363\u548c\u6d3b\u529b\uff0c\u82b1\u6735\u7684\u7f8e\u4e3d\u548c\u751f\u547d\u529b\u9690\u55bb\u4e3a\u5bf9\u7f8e\u597d\u751f\u6d3b\u7684\u8ffd\u6c42\u548c\u5bf9\u751f\u547d\u529b\u7684\u8d5e\u7f8e\u3002", + "option2": "\u7261\u4e39\u7684\u76db\u5f00\u8c61\u5f81\u7740\u751f\u547d\u7684\u529b\u91cf\u4e0e\u81ea\u7136\u7684\u7f8e\u4e3d\uff0c\u9690\u55bb\u7740\u5bf9\u751f\u547d\u7684\u8d5e\u7f8e\u4e0e\u5bf9\u81ea\u7136\u7684\u656c\u754f\u3002", + "option3": "\u9898\u8bd7\u6697\u793a\u7261\u4e39\u5b64\u82b3\u81ea\u8d4f\u7684\u5fc3\u5883\uff0c\u4ee3\u8868\u4f5c\u8005\u4e0d\u6155\u7e41\u534e\u3001\u7518\u4e8e\u6e05\u51c0\u3002", + "option4": "\"\u7ea2\u7d2b\"\u8c61\u5f81\u7740\u4e0d\u540c\u7684\u82b1\u6735\uff0c\"\u5404\u81ea\u8d4b\"\u5219\u610f\u5473\u7740\u6bcf\u79cd\u82b1\u90fd\u6709\u5176\u72ec\u7279\u7684\u7f8e\u4e3d\u548c\u5b58\u5728\u4ef7\u503c\uff0c\u9898\u8bd7\u6697\u793a\u4e86\u81ea\u7136\u754c\u7684\u591a\u6837\u6027\u4e0e\u548c\u8c10\u5171\u5b58\u3002", + "option5": "\u8537\u8587\u4ece\u82b1\u82de\u5230\u76db\u5f00\u7684\u8fc7\u7a0b\uff0c\u9690\u55bb\u4e2a\u4eba\u6216\u4e8b\u7269\u7684\u6210\u957f\u4e0e\u53d8\u5316\uff0c\u4ee5\u53ca\u5728\u6210\u957f\u8fc7\u7a0b\u4e2d\u7ecf\u5386\u7684\u6311\u6218\u548c\u53d8\u5316\u3002", + "option6": "\u6625\u82b1\u79cb\u6708\u7684\u81ea\u7136\u66f4\u66ff\uff0c\u9690\u55bb\u7740\u751f\u547d\u7684\u5faa\u73af\u4e0e\u56db\u5b63\u7684\u53d8\u6362\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0107", + "input": { + "image_file": "culture_image_vqa0107.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u56fe\u7247\u53ef\u80fd\u53cd\u6620\u4e86\u73b0\u4ee3\u79d1\u6280\u4e0e\u4e2a\u4eba\u9690\u79c1\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u6697\u793a\u4e86\u4eba\u4eec\u5728\u4f7f\u7528\u624b\u673a\u7b49\u8bbe\u5907\u65f6\uff0c\u5b9e\u9645\u4e0a\u53ef\u80fd\u5728\u65e0\u610f\u8bc6\u4e2d\u6cc4\u9732\u4e86\u81ea\u5df1\u7684\u9690\u79c1\u6216\u53d7\u5230\u76d1\u63a7\u3002", + "option2": "\u56fe\u7247\u5bd3\u610f\u7740\u793e\u4ea4\u5a92\u4f53\u7684\u5f71\u54cd\uff0c\u624b\u673a\u6210\u4e3a\u4e86\u4eba\u4eec\u89c2\u5bdf\u4e16\u754c\u7684\u4e3b\u8981\u7a97\u53e3\uff0c\u5e76\u5f71\u54cd\u7740\u4ed6\u4eec\u5982\u4f55\u770b\u5f85\u81ea\u5df1\u548c\u4ed6\u4eba\u3002", + "option3": "\u9a74\u5b50\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u4f20\u7edf\u548c\u53e4\u8001\u7684\u8c61\u5f81\uff0c\u800c\u624b\u673a\u4ee3\u8868\u4e86\u73b0\u4ee3\u79d1\u6280\u7684\u4ea7\u7269\u3002\u8fd9\u79cd\u5bf9\u6bd4\u9690\u55bb\u4e86\u6280\u672f\u5982\u4f55\u5728\u6211\u4eec\u7684\u65e5\u5e38\u751f\u6d3b\u4e2d\u53d6\u4ee3\u6216\u6a21\u4eff\u81ea\u7136\u6216\u4f20\u7edf\u7684\u89c2\u5bdf\u65b9\u5f0f\u3002", + "option4": "\u56fe\u7247\u53ef\u80fd\u8c61\u5f81\u7740\u4f9d\u8d56\u79d1\u6280\u6765\u6307\u5f15\u65b9\u5411\u7684\u73b0\u8c61\uff0c\u624b\u673a\u6210\u4e3a\u4e86\u6211\u4eec\u5728\u590d\u6742\u4e16\u754c\u4e2d\u7684\u5bfc\u822a\u5de5\u5177\u3002", + "option5": "\u7535\u5b50\u4ea7\u54c1\u7684\u53d1\u660e\u5c4f\u853d\u4e86\u4eba\u4eec\u539f\u672c\u7684\u80fd\u529b\uff0c\u6211\u4eec\u9010\u6e10\u5931\u53bb\u4e86\u72ec\u7acb\u601d\u8003\u548c\u5bf9\u4e16\u754c\u7684\u611f\u77e5\u3002", + "option6": "\u8fd9\u5f20\u56fe\u7247\u5728\u6697\u793a\u73b0\u4ee3\u79d1\u6280\u5982\u4f55\u589e\u5f3a\u4e86\u6211\u4eec\u7684\u611f\u5b98\u80fd\u529b\uff0c\u8ba9\u6211\u4eec\u7684\u89c6\u91ce\u8d85\u8d8a\u4e86\u81ea\u7136\u9650\u5236\u3002" + } + }, + "output": { + "text": "Unavailable" + } + }, + { + "id": "culture_image_vqa0409", + "input": { + "image_file": "culture_image_vqa0409.jpg", + "prompt": "\u8fd9\u5f20\u56fe\u7247\u6709\u4ec0\u4e48\u9690\u55bb\uff1f", + "options": { + "option1": "\u8fd9\u5f20\u56fe\u7247\u662f\u5728\u5ba3\u4f20\u65b0\u7684\u592a\u7a7a\u4efb\u52a1\u3002", + "option2": "\u8fd9\u5f20\u56fe\u7247\u662f\u5728\u5c55\u793a\u5b87\u822a\u5458\u7684\u8bad\u7ec3\u573a\u666f\u3002", + "option3": "\u8fd9\u5f20\u56fe\u7247\u662f\u5bf9\u706b\u661f\u8868\u9762\u7684\u8be6\u7ec6\u5206\u6790\u3002", + "option4": "\u8868\u8fbe\u5b87\u822a\u5458\u56de\u4e0d\u53bb\u7684\u56f0\u5883\uff0c\u5728\u6c42\u6551\uff0c\u60f3\u8981\u8868\u8fbeSOS\u3002", + "option5": 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Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "bbox_format": "(x_min, y_min, width, height)" + }, + "data": [ + { + "input": { + "image_file": "7117_Caranx_sexfasciatus_juvenile_f000138.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0083" + }, + { + "input": { + "image_file": "7268_F1_f000611.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0153" + }, + { + "input": { + "image_file": "7434_F1_f000266.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0322" + }, + { + "input": { + "image_file": "7463_F4_f000218.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0440" + }, + { + "input": { + "image_file": "7268_F1_f000293.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0092" + }, + { + "input": { + "image_file": "7426_F2_f000218.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0288" + }, + { + "input": { + "image_file": "7268_F1_f000446.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0117" + }, + { + "input": { + "image_file": "7463_F6_f000106.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0477" + }, + { + "input": { + "image_file": "7393_F1_f000313.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0194" + }, + { + "input": { + "image_file": "7463_F1_f000033.jpg", + "prompt": "Detect the deepfish in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "dd_0407" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Description_of_Open-ended_Spatial_Relationship/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Description_of_Open-ended_Spatial_Relationship/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fff32735f35b0440e41c5e6a6885c2f3fccd9e59 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Description_of_Open-ended_Spatial_Relationship/annotation.json @@ -0,0 +1,184 @@ +{ + "set_type": "closeset", + "task": "Description_of_Open-ended_Spatial_Relationship", + "data_source": "https://lllogen.github.io/vsd-challenge.github.io/", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Relation Reasoning", + "domain": "General", + "general_capability": [ + "Content Recognition", + "Spatial Perception" + ], + "version": "1.0", + "data": [ + { + "id": "0380", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2382600.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: red triangle [187, 194, 324, 333] airplane [104, 189, 51, 396]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0429", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/4168.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: water [133, 229, 71, 139] walkway [85, 179, 1, 230]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0362", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/286030.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: person [394, 544, 783, 870] shirt [403, 492, 794, 847]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0140", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2405352.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: ground [285, 296, 24, 57] plane [129, 221, 27, 485]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0463", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2398050.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: women [2, 217, 84, 412] table [195, 349, 12, 499]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0106", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/nyu_living_room_0047b_r-1315167432.689116-3289440488.png", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: picture [8, 144, 423, 570] sofa [195, 436, 282, 636]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0184", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/32797209561_996fb63d67.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: duck [215, 346, 113, 378] water [2, 478, 2, 498]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0228", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2390637.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: heating vent [377, 498, 58, 120] table [309, 489, 76, 212]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0307", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/3736.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: stem [260, 369, 453, 490] flower [115, 280, 389, 565]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0132", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/27125990380_a91d53ef97.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: lake [99, 188, 2, 498] tree [0, 248, 368, 426]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0277", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2412660.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: baseball [219, 243, 61, 88] hand [123, 253, 46, 133]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0262", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2409829.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: wires [5, 22, 236, 359] train [7, 161, 6, 305]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0222", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2392306.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: wall [255, 296, 69, 136] man [136, 314, 238, 349]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0070", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/6164774890_8d0f5dcb10.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: statue [12, 70, 244, 313] metropolis [14, 360, 102, 491]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0239", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2414697.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: toilet [333, 425, 245, 313] bathroom [1, 498, 2, 374]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0384", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/30139262713_7261b60d48.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: bunny [97, 331, 155, 353] leash [2, 331, 39, 252]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0346", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/510.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: chair [360, 598, 4, 141] lamp [222, 578, 56, 181]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0078", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/713640.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: table [389, 763, 2, 728] man [217, 719, 2, 208]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0010", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2394400.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: cow [101, 252, 73, 328] mountain [1, 265, 1, 500]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + }, + { + "id": "0048", + "input": { + "image_file": "./data/image/comprehension/Description_of_Open-ended_Spatial_Relationship/images/2409402.jpg", + "question": "Generate three textual descriptions of the single spatial relationship between the two objects: fork [90, 167, 1, 17] plate [76, 314, 9, 499]", + "prompt": "The output format should be a description about the relationship between subject and object." + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Digital_Consistency_Comparison/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Digital_Consistency_Comparison/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dda09791f7e1d8542e74b7a33c0061ff502cc6a9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Digital_Consistency_Comparison/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Digital_Consistency_Comparison", + "data_source": "mnist", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Reasoning Ability", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_2807.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1354.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0359" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9909.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_3450.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0160" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9234.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_674.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0326" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_5718.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1127.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0149" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_5728.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_5000.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0191" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_4371.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_5573.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0056" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_8476.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_5644.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0322" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7251.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_8270.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0245" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_6266.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7348.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0348" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7123.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_2591.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0058" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9016.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1604.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0110" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_8464.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_3130.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0259" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1433.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1200.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0448" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_4914.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_2580.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0318" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_3271.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1589.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0413" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_488.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1535.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0005" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_4956.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_8666.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0153" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7962.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1133.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0073" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_172.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0496" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1891.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1753.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0157" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9132.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_4082.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0241" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_4011.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7784.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0233" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9105.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7973.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0121" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_2116.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_6229.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0296" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7564.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_2977.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0255" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_821.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9571.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0126" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9642.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7025.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0265" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_6658.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_7956.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0114" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_9406.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_8095.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0430" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_1489.png", + "data/image/comprehension/Digital_Consistency_Comparison/mnist/images/image_771.png" + ], + "question": "Are the number in the two pictures the same?", + "prompt": "Only returns 'yes' or 'no' as output" + }, + "id": "0047" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/DrivingRecordingReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/DrivingRecordingReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8a3888acf73277f33c462b21b9a257e04ffcfbd9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/DrivingRecordingReasoning/annotation.json @@ -0,0 +1,321 @@ +{ + "set_type": "closeset", + "task": "Driving Recording Reasoning", + "data_source": "nuScenes", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "Geography", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0110", + "input": { + "image_file": [ + "0110_0.jpg", + "0110_1.jpg", + "0110_2.jpg", + "0110_3.jpg", + "0110_4.jpg", + "0110_5.jpg" + ], + "prompt": "Given a collection of six images taken from different cameras on a street view car, your task is to respond to the questions about the scenario. You must choose your answer from the Choice List. Question: is this place bicycle-friendly?Choice list:['maybe', 'sometimes', 'yes', 'no']. Your answer is:" + }, + "output": {} + }, + { + "id": "0327", + "input": { + "image_file": [ + "0327_0.jpg", + "0327_1.jpg", + "0327_2.jpg", + "0327_3.jpg", + "0327_4.jpg", + "0327_5.jpg" + ], + "prompt": "Given six pictures captured from different angles on a street view car, your duty is to respond accurately to questions about the depicted scene. You must choose your answer from the Choice List. Question: what is the color of the bus?Choice list:['red', 'yellow', 'blue', 'green']. Your answer is:" + }, + "output": {} + }, + { + "id": "0388", + "input": { + "image_file": [ + "0388_0.jpg", + "0388_1.jpg", + "0388_2.jpg", + "0388_3.jpg", + "0388_4.jpg", + "0388_5.jpg" + ], + "prompt": "Upon viewing six pictures captured from various cameras on a street view vehicle, your role is to answer questions about the presented scene. You must choose your answer from the Choice List. Question: what acronym is written on the board?Choice list:['nus', 'uns', 'snu', 'usn']. Your answer is:" + }, + "output": {} + }, + { + "id": "0161", + "input": { + "image_file": [ + "0161_0.jpg", + "0161_1.jpg", + "0161_2.jpg", + "0161_3.jpg", + "0161_4.jpg", + "0161_5.jpg" + ], + "prompt": "Using six pictures taken from distinct cameras mounted on a street view car, your task is to answer queries about the presented scenario. You must choose your answer from the Choice List. Question: how many fences are there?Choice list:['three', 'one', 'two', 'four']. Your answer is:" + }, + "output": {} + }, + { + "id": "0176", + "input": { + "image_file": [ + "0176_0.jpg", + "0176_1.jpg", + "0176_2.jpg", + "0176_3.jpg", + "0176_4.jpg", + "0176_5.jpg" + ], + "prompt": "Given six images taken from different cameras on a street view car, your task is to answer questions about the depicted scene. You must choose your answer from the Choice List. Question: what colour are the verandas on the building?Choice list:['yellow', 'green', 'red', 'blue']. Your answer is:" + }, + "output": {} + }, + { + "id": "0460", + "input": { + "image_file": [ + "0460_0.jpg", + "0460_1.jpg", + "0460_2.jpg", + "0460_3.jpg", + "0460_4.jpg", + "0460_5.jpg" + ], + "prompt": "Using six photographs from multiple cameras on a street-view vehicle, your job is to provide answers to the questions about the scene. You must choose your answer from the Choice List. Question: is there a construction sign?Choice list:['yes', 'no', 'sometimes', 'maybe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0487", + "input": { + "image_file": [ + "0487_0.jpg", + "0487_1.jpg", + "0487_2.jpg", + "0487_3.jpg", + "0487_4.jpg", + "0487_5.jpg" + ], + "prompt": "Using six pictures taken from distinct cameras mounted on a street view car, your task is to answer queries about the presented scenario. You must choose your answer from the Choice List. Question: how many pickup trucks are present?Choice list:['one', 'three', 'four', 'two']. Your answer is:" + }, + "output": {} + }, + { + "id": "0456", + "input": { + "image_file": [ + "0456_0.jpg", + "0456_1.jpg", + "0456_2.jpg", + "0456_3.jpg", + "0456_4.jpg", + "0456_5.jpg" + ], + "prompt": "Upon viewing six pictures captured from various cameras on a street view vehicle, your role is to answer questions about the presented scene. You must choose your answer from the Choice List. Question: how many parson are visible?Choice list:['four', 'three', 'one', 'two']. Your answer is:" + }, + "output": {} + }, + { + "id": "0235", + "input": { + "image_file": [ + "0235_0.jpg", + "0235_1.jpg", + "0235_2.jpg", + "0235_3.jpg", + "0235_4.jpg", + "0235_5.jpg" + ], + "prompt": "With six images, each from a different camera on a street-view car, your assignment is to answer questions about the scene. You must choose your answer from the Choice List. Question: is there any red wehicles on the road?Choice list:['maybe', 'yes', 'no', 'not sure']. Your answer is:" + }, + "output": {} + }, + { + "id": "0496", + "input": { + "image_file": [ + "0496_0.jpg", + "0496_1.jpg", + "0496_2.jpg", + "0496_3.jpg", + "0496_4.jpg", + "0496_5.jpg" + ], + "prompt": "Given six pictures captured from different angles on a street view car, your duty is to respond accurately to questions about the depicted scene. You must choose your answer from the Choice List. Question: how many tiers are the chain link fences?Choice list:['three', 'four', 'one', 'two']. Your answer is:" + }, + "output": {} + }, + { + "id": "0127", + "input": { + "image_file": [ + "0127_0.jpg", + "0127_1.jpg", + "0127_2.jpg", + "0127_3.jpg", + "0127_4.jpg", + "0127_5.jpg" + ], + "prompt": "Using six pictures taken from distinct cameras mounted on a street view car, your task is to answer queries about the presented scenario. You must choose your answer from the Choice List. Question: do you see street signs?Choice list:['no', 'sometimes', 'yes', 'rarely']. Your answer is:" + }, + "output": {} + }, + { + "id": "0076", + "input": { + "image_file": [ + "0076_0.jpg", + "0076_1.jpg", + "0076_2.jpg", + "0076_3.jpg", + "0076_4.jpg", + "0076_5.jpg" + ], + "prompt": "Using six pictures taken from distinct cameras mounted on a street view car, your task is to answer queries about the presented scenario. You must choose your answer from the Choice List. Question: what colors are the dividers on the side of the road?Choice list:['yellow and red', 'purple and pink', 'orange and white', 'blue and green']. Your answer is:" + }, + "output": {} + }, + { + "id": "0055", + "input": { + "image_file": [ + "0055_0.jpg", + "0055_1.jpg", + "0055_2.jpg", + "0055_3.jpg", + "0055_4.jpg", + "0055_5.jpg" + ], + "prompt": "Upon viewing six pictures captured from various cameras on a street view vehicle, your role is to answer questions about the presented scene. You must choose your answer from the Choice List. Question: how many yellow colour truck is parked in parking?Choice list:['four', 'three', 'two', 'one']. Your answer is:" + }, + "output": {} + }, + { + "id": "0449", + "input": { + "image_file": [ + "0449_0.jpg", + "0449_1.jpg", + "0449_2.jpg", + "0449_3.jpg", + "0449_4.jpg", + "0449_5.jpg" + ], + "prompt": "Upon receiving six photographs captured from various cameras on a street-view car, your responsibility is to provide accurate responses to questions about the scene. You must choose your answer from the Choice List. Question: how many stop signs?Choice list:['zero', 'two', 'three', 'one']. Your answer is:" + }, + "output": {} + }, + { + "id": "0113", + "input": { + "image_file": [ + "0113_0.jpg", + "0113_1.jpg", + "0113_2.jpg", + "0113_3.jpg", + "0113_4.jpg", + "0113_5.jpg" + ], + "prompt": "Upon viewing six pictures captured from various cameras on a street view vehicle, your role is to answer questions about the presented scene. You must choose your answer from the Choice List. Question: what is written on the road to the right side of the girl who wears a red colored bag?Choice list:['behind', 'beside', 'beyond', 'ahead']. Your answer is:" + }, + "output": {} + }, + { + "id": "0024", + "input": { + "image_file": [ + "0024_0.jpg", + "0024_1.jpg", + "0024_2.jpg", + "0024_3.jpg", + "0024_4.jpg", + "0024_5.jpg" + ], + "prompt": "Presented with six images from various cameras on a street view car, your responsibility is to answer inquiries about the scene. You must choose your answer from the Choice List. Question: is there a vegetation at the roadside?Choice list:['not sure', 'yes', 'maybe', 'no']. Your answer is:" + }, + "output": {} + }, + { + "id": "0279", + "input": { + "image_file": [ + "0279_0.jpg", + "0279_1.jpg", + "0279_2.jpg", + "0279_3.jpg", + "0279_4.jpg", + "0279_5.jpg" + ], + "prompt": "Upon receiving six photographs captured from various cameras on a street-view car, your responsibility is to provide accurate responses to questions about the scene. You must choose your answer from the Choice List. Question: how many red vehicles are there?Choice list:['one', 'three', 'two', 'four']. Your answer is:" + }, + "output": {} + }, + { + "id": "0341", + "input": { + "image_file": [ + "0341_0.jpg", + "0341_1.jpg", + "0341_2.jpg", + "0341_3.jpg", + "0341_4.jpg", + "0341_5.jpg" + ], + "prompt": "Upon receiving six photographs captured from various cameras on a street-view car, your responsibility is to provide accurate responses to questions about the scene. You must choose your answer from the Choice List. Question: is there a big container on the street?Choice list:['maybe', 'yes', 'not sure', 'no']. Your answer is:" + }, + "output": {} + }, + { + "id": "0440", + "input": { + "image_file": [ + "0440_0.jpg", + "0440_1.jpg", + "0440_2.jpg", + "0440_3.jpg", + "0440_4.jpg", + "0440_5.jpg" + ], + "prompt": "Upon viewing six pictures captured from various cameras on a street view vehicle, your role is to answer questions about the presented scene. You must choose your answer from the Choice List. Question: is there a crosswalk?Choice list:['yes', 'maybe', 'uncertain', 'no']. Your answer is:" + }, + "output": {} + }, + { + "id": "0356", + "input": { + "image_file": [ + "0356_0.jpg", + "0356_1.jpg", + "0356_2.jpg", + "0356_3.jpg", + "0356_4.jpg", + "0356_5.jpg" + ], + "prompt": "Using six pictures taken from distinct cameras mounted on a street view car, your task is to answer queries about the presented scenario. You must choose your answer from the Choice List. Question: what colour surrounds the \"snow\" text on the truck?Choice list:['green', 'red', 'yellow', 'orange']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Dual-ImageCausal-and-EffectReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Dual-ImageCausal-and-EffectReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3db9aa74e573af86a7c7ff9a8f5a844ec0390035 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Dual-ImageCausal-and-EffectReasoning/annotation.json @@ -0,0 +1,241 @@ +{ + "set_type": "closeset", + "task": "Dual-Image Causal-and-Effect Reasoning", + "data_source": "vizwiz", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0246", + "input": { + "image_file": [ + "0246_0.jpg", + "0246_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Sorry to trouble you one more time. On this frozen dinner, am I supposed to puncture holes in it or cut the slit in it or just leave the film on when I put it in the oven. Thank you very. Answer1:['puncture 2 3 times', 'leave film on', 'yes', 'leave film on poke few holes', 'puncture film 2 to 3 times', 'slit', 'yes', 'unsuitable', 'leave film intact', 'unanswerable'] Question2:what is that, bill? Answer2:['unsuitable', 'unanswerable', 'unanswerable', 'hand', '0', 'unanswerable', 'unsuitable', 'unsuitable', 'unanswerable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0070", + "input": { + "image_file": [ + "0070_0.jpg", + "0070_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will present you with two collections of pictures, questions, and answers to examine if they match in their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What this? Answer1:['not clear', 'unsuitable', 'unsuitable', 'unanswerable', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'brightness', 'unanswerable'] Question2:What is this? Answer2:['unanswerable', 'unanswerable', 'razor', 'i cant see well', 'unsuitable', 'leg shorts', 'unanswerable', 'unanswerable', 'unanswerable', 'unanswerable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0031", + "input": { + "image_file": [ + "0031_0.jpg", + "0031_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two batches of pictures, questions, and answers will be delivered to you to assess their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Which remote control is this? Answer1:['unsuitable', 'tv', 'tv', 'yamaha', 'tv remote', 'yamaha', 'yamaha', 'yamaha', 'unanswerable', 'yamaha'] Question2:what is this? Answer2:['flower', 'flowers', 'flower', 'flower', 'flower', 'pink', 'flower', 'flower', 'flower', 'flower']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0422", + "input": { + "image_file": [ + "0422_0.jpg", + "0422_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What brand and type of multivitamins is this? And can you read the label, please? Answer1:['unanswerable', 'unsuitable', 'unanswerable', 'unanswerable', 'unsuitable', 'unsuitable', 'unanswerable', 'black', 'can not see', 'unsuitable'] Question2:Yes, I just need to know what the CAPTCHA image on the screen is. It's apparently two words, thank you. Answer2:['unanswerable', 'pub chse', 'unsuitable', 'unanswerable', 'unsuitable', 'unanswerable', 'unsuitable', 'unsuitable', 'unanswerable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0339", + "input": { + "image_file": [ + "0339_0.jpg", + "0339_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To evaluate if they have identical 'Question-Answer Differences', I will supply you with two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:How long do I cook this microwave dinner for? Answer1:['4 minutes stir 3 to 3 half minutes more', 'microwave 4 mins stir potatoes microwave for additional 3 mins', '3 to 3 1 2 minutes', '4 minutes stir 3 minutes 7 minutes total', '4 minutes stir then 3 minutes', '3 3.5 minutes', '4 minutes then 3 3.5 minutes', '8 minutes total', '3 minutes', '7.5 minutes'] Question2:What is in this can? Answer2:['glass cleaner', 'glass cleaner', 'glass cleaner just spray wipe clean', 'glass cleaner', 'glass cleaner', 'glass cleaner', 'glass cleaner', 'cleaner', 'glass cleaner', 'glass cleaner']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0413", + "input": { + "image_file": [ + "0413_0.jpg", + "0413_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:when is the expiration date? Answer1:['feb 21 2014', 'feb 21 2014', 'feb 212014', 'february 21 2014', 'feb 21 2014', '02 21 2014', 'feb 21 2014', 'feb 21 2014', 'feb 21 2014', 'feb 21 2014'] Question2:What is this? Thank you. Answer2:['seasoning', 'lemon pepper marinade', 'lemon pepper', 'lawry lemon pepper', 'lawry lemon pepper marinade', 'lemon pepper marinade', 'lemon pepper marinade', 'marinade', 'lawry lemon pepper marinade', 'lawry lemon pepper marinade']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0323", + "input": { + "image_file": [ + "0323_0.jpg", + "0323_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two sets of pictures, questions, and answers will be given to you to compare their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What's this? Answer1:['canned baked beans', 'bushs baked beans', 'baked beans', 'beans', 'bushs baked beans', 'can bushs baked beans', 'unanswerable', 'beans', 'bushs baked beans', 'unsuitable'] Question2:Send the bag! Answer2:['unanswerable', 'unanswerable', 'unanswerable', 'unanswerable', 'unanswerable', 'unanswerable', 'unanswerable', 'ok', 'unanswerable', 'unanswerable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0384", + "input": { + "image_file": [ + "0384_0.jpg", + "0384_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What do you see on the computer monitor? Answer1:['startup repair', 'unanswerable', 'startup repair pop up', 'do you want to restore your computer using system restore', 'do you want to restart your computer', 'unsuitable', 'startup repair', 'unanswerable', 'text', 'system restore message'] Question2:What's written on this label? Answer2:['unanswerable', 'food', 'nutrition facts', 'nutrition facts', 'nutrition facts details not visible', 'unsuitable', 'nutrition facts', 'nutrition facts', 'nutrition facts', 'nutritional facts ingredients']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0296", + "input": { + "image_file": [ + "0296_0.jpg", + "0296_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two sets of pictures, questions, and answers will be provided to you to measure their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Is it juice? Answer1:['house', 'unanswerable', 'unanswerable', 'unanswerable', 'no', 'unanswerable', 'unsuitable', 'unanswerable', 'unanswerable', 'unanswerable'] Question2:What is this? Answer2:['unanswerable', 'hats', 'unsuitable', 'hats', 'hats', 'unanswerable', 'hats', 'hats', 'caps', 'hats']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0164", + "input": { + "image_file": [ + "0164_0.jpg", + "0164_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will give you two sets of pictures, questions, and answers to determine if they belong to the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this? Answer1:['game', 'gameboy', 'pac man game', 'pac man for atari', 'pac man game', 'pac man', 'pac man', 'pac man', 'pac man game', 'pac man'] Question2:What kind of soup is this? Answer2:['unanswerable', 'cream mushroom', 'mushroom', 'unsuitable', 'unsuitable', 'mushroom soup', 'unanswerable', 'mushroom', 'unsuitable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0150", + "input": { + "image_file": [ + "0150_0.jpg", + "0150_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two sets of pictures, questions, and answers will be provided to you to measure their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What does this label read? Answer1:['shea moisturizing shower wash', 'natural brand beautiful skin tree hut shea moisturizing shower wash', 'shea moisturizing shower wash', 'tree hut shea moisturizing shower wash', 'shea moisturizing shower wash', 'shea moisturizing shower wash', 'shea moisturizing shower wash', 'shea moisturizing shower wash', 'shea moisturizing shower wash', 'shea moisturizing shower wash'] Question2:What is it? Answer2:['air conditioner', 'ac unit', 'box', 'air conditioner', 'printer', 'unanswerable', 'electric heater', 'laminator', 'unsuitable', 'printer']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0033", + "input": { + "image_file": [ + "0033_0.jpg", + "0033_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:what is in front of me? Answer1:['cat infront u', 'cat', 'tv', 'cat', 'cat', 'television cat', 'cat', 'cat', 'cat', 'cat'] Question2:What is this? Answer2:['lamp table flowers', 'this lamp', 'lamp', 'table lamp', 'lamp', 'lamp', 'lamp', 'lamp', 'lamp', 'lamp on table']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0482", + "input": { + "image_file": [ + "0482_0.jpg", + "0482_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:what is this? Answer1:['flash', 'bright light', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable'] Question2:What what bill is this? Answer2:['unsuitable', 'unanswerable', 'unsuitable', '5', 'unsuitable', 'unanswerable', 'no', 'unanswerable', 'unsuitable', 'blank']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0360", + "input": { + "image_file": [ + "0360_0.jpg", + "0360_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two sets of pictures, questions, and answers will be given to you to compare their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this? Answer1:['speaker', 'radio', 'portable speaker', 'speakerbox', 'wireless speaker', 'speaker', 'speaker', 'speaker', 'speaker', 'speaker'] Question2:Can you read the label of this bottle? Answer2:['luxardo', 'luxardo', 'luxardo', 'luxardo', 'luxardo', 'yes', 'no', 'yes', 'yes', 'yes']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0023", + "input": { + "image_file": [ + "0023_0.jpg", + "0023_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:Describe this dress. Answer1:['short', 'straight line', 'sleeveless', 'unsuitable', 'black tan', 'sleeveless black grey', 'black brown sleeveless', 'black tan sleeveless', 'green', 'brown black'] Question2:what is this product? Answer2:['muscle cream', 'pain cream', 'pain relief cream', 'joint muscle pain relief cream', 'celadrin', 'pain cream', 'joint muscle cream', 'celadrin', 'pain reliever', 'joint muscle pain relieving cream']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0166", + "input": { + "image_file": [ + "0166_0.jpg", + "0166_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n Two batches of pictures, questions, and answers will be delivered to you to assess their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What kind of Wolfgang Puck coffee is this? Answer1:['breakfast in bed', 'medium roast', 'estate grown coffee', 'breakfast in bed', 'breakfast in bed', 'medium roast', 'breakfast in bed', 'breakfast in bed', 'medium', 'breakfast in bed'] Question2:What is this item? Answer2:['paper', 'envelope', 'envelope', 'unanswerable', 'box', 'unsuitable', 'paper', 'envelope', 'box', 'unanswerable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0126", + "input": { + "image_file": [ + "0126_0.jpg", + "0126_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this a picture of? Answer1:['unanswerable', 'phone', 'phone', 'back telephone', 'remote control', 'cordless phone', 'phone', 'phone', 'unsuitable', 'remote'] Question2:What's in this food package? Answer2:['crackers', 'unanswerable', 'rice', 'pollock', 'unanswerable', 'pollock', 'unsuitable', 'unanswerable', 'unanswerable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0162", + "input": { + "image_file": [ + "0162_0.jpg", + "0162_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will show you two groups of pictures, questions, and answers to determine if they agree on their 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this please? Answer1:['chicken broccoli pasta', 'chicken broccoli pasta', 'pasta side pasta broccoli', 'chicken broccoli pasta', 'knorr chicken broccoli pasta', 'knorr pasta side', 'pasta sides', 'pasta sides chicken broccoli', 'chicken broccoli flavored noodles by knorr', 'knorr pasta sides'] Question2:what is the expiration date of this milk Answer2:['unsuitable', 'unsuitable', 'unanswerable', 'sd', 'unsuitable', 'unsuitable', 'unsuitable', 'unsuitable', 'unanswerable', 'unsuitable']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0235", + "input": { + "image_file": [ + "0235_0.jpg", + "0235_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n To evaluate if they have identical 'Question-Answer Differences', I will supply you with two sets of pictures, questions, and answers. You must choose your answer from the Choice List. Question1:What is on this shirt? Answer1:['pepsi', 'pepsi', 'pepsi logo', 'pepsi logo', 'pepsi', 'pepsi logo', 'pepsi logo', 'pepsi logo', 'pepsi logo', 'pepsi logo'] Question2:What is this? Answer2:['macbook', 'mac computer', 'mac laptop', 'mac', 'laptop', 'apple laptop', 'apple macbook', 'apple laptop', 'laptop computer', 'apple']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0490", + "input": { + "image_file": [ + "0490_0.jpg", + "0490_1.jpg" + ], + "prompt": "There are ten possible explanations for the ten different answers to a VQA:\n1:Low Quality Image(LQI), image is too small, out of focus, having poor quality, or nothing is visible.\n2:Answer Not Present(IVE), good image, but answer to the question is not present in the image (Insufficient Visual Evidence), so some answers reflect guesses.\n3:Invalid(INV), a proper or semantically correct question is absent.\n4:Difficult(DFF), questions that require domain expertise,special skills, or too much effort.\n5:Ambiguous(AMB), good image and valid question, but taken together they have more than one valid interpretation, leading to multiple answers.\n6:Subjective(SBJ), opinion-driven questions, such as assessing beauty, fashion sense, emotions.\n7:Synonyms(SYN), answers present the same idea, but using different words having similar meaning.\n8:Granular(GRN), answers present the same idea, but in different levels of detail or specialization.\n9:Spam(SPM), a person inadequately answers a simple, straight-forward visual question.\n10:Other(OTH), others\n I will provide you with two groups of pictures, questions, and answers to see if they have the same 'Question-Answer Differences'. You must choose your answer from the Choice List. Question1:What is this? Answer1:['wine', 'wine', 'bottle barolo 2004', 'wine', 'wine', 'wine', 'wine', 'wine', 'barolo 2004', 'wine'] Question2:What movie is this? Answer2:['thor', 'thor', 'thor', 'thor', 'thor', 'thor', 'thor', 'thor', 'thor', 'movie thor']Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Education-RelatedVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Education-RelatedVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e1f7a1fe9304ef2b8e7c8d2d33728e23c718a93c --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Education-RelatedVQA/annotation.json @@ -0,0 +1,143 @@ +{ + "set_type": "closeset", + "task": "Education-Related VQA", + "data_source": "TQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "Education", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0088", + "input": { + "image_file": [ + "0088_0.jpg", + "0088_1.jpg", + "0088_2.jpg" + ], + "prompt": "Using a selection of textbook diagrams, your task is to provide an accurate response to the subsequent query. You must choose your answer from the Choice List.Question: What happens when sound waves enter the outer ear?Choice list:['the eardrum is damaged', 'eardrum explodes', 'it strikes the eardrum making it vibrate', 'eardrum shrinks']. Your answer is:" + }, + "output": {} + }, + { + "id": "0390", + "input": { + "image_file": [ + "0390_0.jpg", + "0390_1.jpg", + "0390_2.jpg", + "0390_3.jpg" + ], + "prompt": "Based on a series of diagrams from a textbook, your job is to correctly answer the forthcoming question. You must choose your answer from the Choice List.Question: How many types of lens are there in a microscope?Choice list:['1', '2', '3', '4']. Your answer is:" + }, + "output": {} + }, + { + "id": "0181", + "input": { + "image_file": [ + "0181_0.jpg", + "0181_1.jpg", + "0181_2.jpg", + "0181_3.jpg" + ], + "prompt": "Given an assortment of diagrams from a textbook, please provide an accurate response to the next question. You must choose your answer from the Choice List.Question: Identify the hanging wall in the first imageChoice list:['W', 'N', 'L', 'H']. Your answer is:" + }, + "output": {} + }, + { + "id": "0490", + "input": { + "image_file": [ + "0490_0.jpg", + "0490_1.jpg", + "0490_2.jpg" + ], + "prompt": "Given a set of diagrams from a textbook, your responsibility is to provide a correct response to the next query. You must choose your answer from the Choice List.Question: The air becomes drier in this step. Which?Choice list:['V', 'X', 'D', 'Y']. Your answer is:" + }, + "output": {} + }, + { + "id": "0119", + "input": { + "image_file": [ + "0119_0.jpg", + "0119_1.jpg", + "0119_2.jpg" + ], + "prompt": "With a set of diagrams extracted from a textbook, your role is to answer the ensuing question correctly. You must choose your answer from the Choice List.Question: What nm are gamma rays located based on the diagram?Choice list:['0.0001nm', '1000 nm', '1 cm', '0.01 nm']. Your answer is:" + }, + "output": {} + }, + { + "id": "0292", + "input": { + "image_file": [ + "0292_0.jpg", + "0292_1.jpg", + "0292_2.jpg" + ], + "prompt": "With a set of diagrams extracted from a textbook, your role is to answer the ensuing question correctly. You must choose your answer from the Choice List.Question: What connects the outer ear to the inner ear?Choice list:['Ear canal', 'Incus', 'Temporal bone', 'Cochlea']. Your answer is:" + }, + "output": {} + }, + { + "id": "0365", + "input": { + "image_file": [ + "0365_0.jpg", + "0365_1.jpg", + "0365_2.jpg" + ], + "prompt": "Using a selection of textbook diagrams, your task is to provide an accurate response to the subsequent query. You must choose your answer from the Choice List.Question: Which element shared its outside electron?Choice list:['Chloride.', 'Sodium Chloride.', 'Cannot determine.', 'Sodium.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0368", + "input": { + "image_file": [ + "0368_0.jpg", + "0368_1.jpg", + "0368_2.jpg" + ], + "prompt": "Using a selection of textbook diagrams, your task is to provide an accurate response to the subsequent query. You must choose your answer from the Choice List.Question: How many kinds of day length do we have based on the Earth's rotation axis?Choice list:['4', '6', '5', '3']. Your answer is:" + }, + "output": {} + }, + { + "id": "0472", + "input": { + "image_file": [ + "0472_0.jpg", + "0472_1.jpg", + "0472_2.jpg" + ], + "prompt": "Based on a series of diagrams from a textbook, your job is to correctly answer the forthcoming question. You must choose your answer from the Choice List.Question: What do you call the imaginary line between the Tropic of Cancer and the Tropic of Capricorn?Choice list:['Tropic of Capricorn', 'Arctic Circle', 'Antarctic Circle', 'Equator']. Your answer is:" + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg" + ], + "prompt": "Upon reviewing a collection of diagrams from a textbook, your job is to accurately respond to the following question. You must choose your answer from the Choice List.Question: How many crusts are there?Choice list:['5', '4', '2', '3']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/EgocentricDailyTasksActionPlanning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/EgocentricDailyTasksActionPlanning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2706a44b5d60af14b54d7d216839158b4d351243 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/EgocentricDailyTasksActionPlanning/annotation.json @@ -0,0 +1,322 @@ +{ + "set_type": "closeset", + "task": "Egocentric Daily Tasks Action Planning", + "data_source": "alfred", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "General", + "general_capability": [ + "Planning Ability", + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0172", + "input": { + "image_file": [ + "0172_0.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Place a rinsed plate in the fridge. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0178", + "input": { + "image_file": [ + "0178_0.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: To heat a piece of apple and place it in the sink. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0390", + "input": { + "image_file": [ + "0390_0.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: move a vase from the counter to the table Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0094", + "input": { + "image_file": [ + "0094_0.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Examine a bat by the light of a lamp. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0449", + "input": { + "image_file": [ + "0449_0.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Place two bars of soap on a toilet tank. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0318", + "input": { + "image_file": [ + "0318_0.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Place a microwaved tomato in the sink. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0166", + "input": { + "image_file": [ + "0166_0.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Put the chilled plate in the kitchen cabinet Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0371", + "input": { + "image_file": [ + "0371_0.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Place a glass with a fork in it onto the kitchen island. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0055", + "input": { + "image_file": [ + "0055_0.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Examine a laptop using the light of a floor lamp. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0331", + "input": { + "image_file": [ + "0331_0.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: take the bowl to the lamp Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0311", + "input": { + "image_file": [ + "0311_0.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place two bottles of cleaning spray o the toilet. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0289", + "input": { + "image_file": [ + "0289_0.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Place the sliced apple on the counter. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0444", + "input": { + "image_file": [ + "0444_0.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Putting a hot slice of tomato in the sink Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0335", + "input": { + "image_file": [ + "0335_0.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a rinsed spatula in the drawer next to the stove. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0148", + "input": { + "image_file": [ + "0148_0.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a watch in a safe. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0058", + "input": { + "image_file": [ + "0058_0.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Place a glass cup with knife it on the table. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0481", + "input": { + "image_file": [ + "0481_0.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put a clean slice of lettuce in a trash bin. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0005", + "input": { + "image_file": [ + "0005_0.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Turn a lamp on with a remote in hand. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0337", + "input": { + "image_file": [ + "0337_0.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Turn on a green lamp with a credit card. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0361", + "input": { + "image_file": [ + "0361_0.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Take the alarm clock off the shelf, turn on the lamp Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a glass and a knife in a sink. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0143", + "input": { + "image_file": [ + "0143_0.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: chill the lettuce in the fridge then put it on the counter top Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0244", + "input": { + "image_file": [ + "0244_0.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put a bowl on a table. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0413", + "input": { + "image_file": [ + "0413_0.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Place two eggs in a microwave. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0440", + "input": { + "image_file": [ + "0440_0.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Place a towel in the bath tub. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0181", + "input": { + "image_file": [ + "0181_0.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: place a cup with a fork in it on top of the kitchen counter Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0027", + "input": { + "image_file": [ + "0027_0.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put a hot slice of apple in the trash can. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0091", + "input": { + "image_file": [ + "0091_0.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Examine the bat with the light on the desk. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0352", + "input": { + "image_file": [ + "0352_0.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place a pot with a knife in it on a table. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0075", + "input": { + "image_file": [ + "0075_0.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Place a heated apple in a fridge. Step Details: Current Step: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/EmbodiedNavigatingVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/EmbodiedNavigatingVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..681a7c2a5b318b557029626d0333093fa161b049 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/EmbodiedNavigatingVisualQuestionAnswering/annotation.json @@ -0,0 +1,381 @@ +{ + "set_type": "closeset", + "task": "Embodied Navigating Visual Question Answering", + "data_source": "alfred", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "General", + "general_capability": [ + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0166", + "input": { + "image_file": [ + "0166_0.jpg", + "0166_1.jpg", + "0166_2.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put the chilled plate in the kitchen cabinet Step Details: Step#1: Turn right and walk forward to the wooden shelf Step#2: Pick up the round plate from the top shelf Current Step: " + }, + "output": {} + }, + { + "id": "0441", + "input": { + "image_file": [ + "0441_0.jpg", + "0441_1.jpg", + "0441_2.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Place two sets of keys in the entertainment center. Step Details: Step#1: Move to and face the center of the black couch in front of the picture frame on the wall. Step#2: Pick up the set of keys between the red credit card and the laptop from the couch. Current Step: " + }, + "output": {} + }, + { + "id": "0033", + "input": { + "image_file": [ + "0033_0.jpg", + "0033_1.jpg", + "0033_2.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Put a towel in a tub. Step Details: Step#1: Turn to the right and then the right again to face the sink on the left. Step#2: Pick up the green towel on the wall to the left of the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0056", + "input": { + "image_file": [ + "0056_0.jpg", + "0056_1.jpg", + "0056_2.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Turn on the light while holding a laptop. Step Details: Step#1: Turn left and walk to the dresser. Step#2: Close the laptop in front and pick it up. Current Step: " + }, + "output": {} + }, + { + "id": "0306", + "input": { + "image_file": [ + "0306_0.jpg", + "0306_1.jpg", + "0306_2.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Examine the pillow in the light of the lamp on the table. Step Details: Step#1: Turn right, head to the right side of the bed, turn left to face the pillow on the bed. Step#2: Pick up the pillow on the right side of the bed. Current Step: " + }, + "output": {} + }, + { + "id": "0084", + "input": { + "image_file": [ + "0084_0.jpg", + "0084_1.jpg", + "0084_2.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: turn on lamp with credit card in hand Step Details: Step#1: walk to face couch Step#2: pick up red credit card from couch Current Step: " + }, + "output": {} + }, + { + "id": "0461", + "input": { + "image_file": [ + "0461_0.jpg", + "0461_1.jpg", + "0461_2.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Pick up watches from the table, one-at-a-time, put them on the TV stand. Step Details: Step#1: Take one step to the right, turn left for several steps, turn right past the red chair, turn right for one steps, take a left and stop at the table. Step#2: Pick up the watch from the table that is next to the lap top, closest to the wall. Current Step: " + }, + "output": {} + }, + { + "id": "0459", + "input": { + "image_file": [ + "0459_0.jpg", + "0459_1.jpg", + "0459_2.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Putting cold sliced bread in the trash can Step Details: Step#1: Go to the left of the round table Step#2: Grab the knife off of the table Current Step: " + }, + "output": {} + }, + { + "id": "0186", + "input": { + "image_file": [ + "0186_0.jpg", + "0186_1.jpg", + "0186_2.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Put the mug with pen on the tv stand Step Details: Step#1: Turn left then walk straight, stand in between the tv stand and side table Step#2: Pick up the pen on the table Current Step: " + }, + "output": {} + }, + { + "id": "0028", + "input": { + "image_file": [ + "0028_0.jpg", + "0028_1.jpg", + "0028_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Slice apple in the trash can, grab a piece, cook it in the microwave, put it in the trash can Step Details: Step#1: Walk towards the counter next to the fridge Step#2: Grab a knife from the counter Current Step: " + }, + "output": {} + }, + { + "id": "0325", + "input": { + "image_file": [ + "0325_0.jpg", + "0325_1.jpg", + "0325_2.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Move a newspaper from a dresser to a black couch. Step Details: Step#1: Turn around to walk across the room to the small black dresser on the right out of three. Step#2: Pick up the newspaper from the dresser. Current Step: " + }, + "output": {} + }, + { + "id": "0365", + "input": { + "image_file": [ + "0365_0.jpg", + "0365_1.jpg", + "0365_2.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put a cleaned rag on the toilet tank lid. Step Details: Step#1: Move to the sink. Step#2: Pick up the dirty rag from the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0464", + "input": { + "image_file": [ + "0464_0.jpg", + "0464_1.jpg", + "0464_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put the pan and fork into the sink Step Details: Step#1: Turn around and walk to the counter to the left of the sink Step#2: Pick up the metal fork from the counter Current Step: " + }, + "output": {} + }, + { + "id": "0487", + "input": { + "image_file": [ + "0487_0.jpg", + "0487_1.jpg", + "0487_2.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Put a pot containing a knife and slice of potato on a table. Step Details: Step#1: Turn around, go to the counter across the room that is between the stove and sink. Step#2: Pick up the butter knife that is on the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0383", + "input": { + "image_file": [ + "0383_0.jpg", + "0383_1.jpg", + "0383_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Place a pan with a fork in it in the sink. Step Details: Step#1: Turn around and veer right and walk to the counter to the left of the sink. Step#2: Pick up the fork on the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0119", + "input": { + "image_file": [ + "0119_0.jpg", + "0119_1.jpg", + "0119_2.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Inspect a bowl near a lit lamp. Step Details: Step#1: Go straight to the desk chair, then turn right to face the desk. Step#2: Take the bowl from the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0442", + "input": { + "image_file": [ + "0442_0.jpg", + "0442_1.jpg", + "0442_2.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Putting a hot potato slice in the fridge Step Details: Step#1: Turn right and go to the counter with the coffee maker Step#2: Grab the knife off of the counter Current Step: " + }, + "output": {} + }, + { + "id": "0088", + "input": { + "image_file": [ + "0088_0.jpg", + "0088_1.jpg", + "0088_2.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put a clean plate on the counter. Step Details: Step#1: Turn right and go towards the dishwasher, then turn left to face the counter next to the dishwasher. Step#2: Pick up the plate on the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0355", + "input": { + "image_file": [ + "0355_0.jpg", + "0355_1.jpg", + "0355_2.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Put the heated tomato in the fridge Step Details: Step#1: Turn left then counter with microwave Step#2: Pick up the tomato beside the microwave Current Step: " + }, + "output": {} + }, + { + "id": "0460", + "input": { + "image_file": [ + "0460_0.jpg", + "0460_1.jpg", + "0460_2.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Place a cool slice of bread in the microwave. Step Details: Step#1: Turn left, take a step, then turn right towards the fridge, and then turn right towards the counter on your right. Step#2: Pick up the left yellow knife from the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0161", + "input": { + "image_file": [ + "0161_0.jpg", + "0161_1.jpg", + "0161_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Move the bottles to the desk. Step Details: Step#1: Turn around and face the book shelf on the wall. Step#2: Pick up the blue bottle on the bottom shelf. Current Step: " + }, + "output": {} + }, + { + "id": "0290", + "input": { + "image_file": [ + "0290_0.jpg", + "0290_1.jpg", + "0290_2.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: To cut put 1 1/3 apples on the counter. Step Details: Step#1: Turn left, walk across the room and turn right to face the trash can. Step#2: Pick up the green apple in the trash can. Current Step: " + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Put the fork and the pan in the kitchen sink. Step Details: Step#1: Turn left ,walk forward, turn right ,and stand in front of the counter. Step#2: Pick up the fork on the counter Current Step: " + }, + "output": {} + }, + { + "id": "0420", + "input": { + "image_file": [ + "0420_0.jpg", + "0420_1.jpg", + "0420_2.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Examine the remote under the light of the tall lamp. Step Details: Step#1: Move to the small table with the remote on it. Step#2: Pick up the remote from the table. Current Step: " + }, + "output": {} + }, + { + "id": "0444", + "input": { + "image_file": [ + "0444_0.jpg", + "0444_1.jpg", + "0444_2.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Putting a hot slice of tomato in the sink Step Details: Step#1: Turn left and go to the counter to the left of the sink Step#2: Grab a tomato off of the counter Current Step: " + }, + "output": {} + }, + { + "id": "0070", + "input": { + "image_file": [ + "0070_0.jpg", + "0070_1.jpg", + "0070_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Cool a tomato and put it in the microwave Step Details: Step#1: Turn left, go forward, turn left and go to the counter Step#2: Pick up the tomato on the counter Current Step: " + }, + "output": {} + }, + { + "id": "0466", + "input": { + "image_file": [ + "0466_0.jpg", + "0466_1.jpg", + "0466_2.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Slice the bread, take a slice, put the slice in the fridge, put the slice on the table Step Details: Step#1: Walk towards the white table Step#2: Grab a yellow knife from the table Current Step: " + }, + "output": {} + }, + { + "id": "0456", + "input": { + "image_file": [ + "0456_0.jpg", + "0456_1.jpg", + "0456_2.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Put a heated apple on the table, left of the sponge. Step Details: Step#1: Turn around, move to face the apple on the green table. Step#2: Pick up the apple on the table. Current Step: " + }, + "output": {} + }, + { + "id": "0206", + "input": { + "image_file": [ + "0206_0.jpg", + "0206_1.jpg", + "0206_2.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Put two soaps on the flusher Step Details: Step#1: Turn right, go forward, turn left, go to the sink Step#2: Pick up the soap in the sink Current Step: " + }, + "output": {} + }, + { + "id": "0310", + "input": { + "image_file": [ + "0310_0.jpg", + "0310_1.jpg", + "0310_2.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Move two spray bottles to the toilet. Step Details: Step#1: Turn right and go to the cabinet by the sink. Step#2: Pick up a spray bottle on the cabinet. Current Step: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Environment-BasedNext-actionDescription/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Environment-BasedNext-actionDescription/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0498fac5fe3b559a59cc9a81bd44108410c0fb58 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Environment-BasedNext-actionDescription/annotation.json @@ -0,0 +1,411 @@ +{ + "set_type": "closeset", + "task": "Environment-Based Next-action Description", + "data_source": "alfred", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "General", + "general_capability": [ + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0265", + "input": { + "image_file": [ + "0265_0.jpg", + "0265_1.jpg", + "0265_2.jpg", + "0265_3.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Pick up the disc and turn the lamp on. Step Details: Step#1: Walk forward to the wooden desk on your left. Step#2: Pick up the disc on the corner of the desk. Step#3: Turn right at the desk and walk by the bed on your right. Turn left at the bed and walk forward to the wooden desk on your left. Current Step: " + }, + "output": {} + }, + { + "id": "0242", + "input": { + "image_file": [ + "0242_0.jpg", + "0242_1.jpg", + "0242_2.jpg", + "0242_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Place a cleaned sponge in a bathtub. Step Details: Step#1: Turn around and walk to the bathtub. Step#2: Pick up a sponge from the bathtub. Step#3: Turn around and walk to the sink on your right. Current Step: " + }, + "output": {} + }, + { + "id": "0188", + "input": { + "image_file": [ + "0188_0.jpg", + "0188_1.jpg", + "0188_2.jpg", + "0188_3.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Place the green bottle on the toilet baisin. Step Details: Step#1: Turn left towards the sink. Step#2: Pick up the green bottle in between the two faucets. Step#3: Turn right towards the toilet. Current Step: " + }, + "output": {} + }, + { + "id": "0176", + "input": { + "image_file": [ + "0176_0.jpg", + "0176_1.jpg", + "0176_2.jpg", + "0176_3.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put a spray bottle in a garbage bin. Step Details: Step#1: Turn left and walk to the spray bottle on the counter top. Step#2: Pick up the spray bottle from the counter top. Step#3: Turn left and walk to the garbage bin on the floor to the left of the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0241", + "input": { + "image_file": [ + "0241_0.jpg", + "0241_1.jpg", + "0241_2.jpg", + "0241_3.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Place a washed sponge in a tub. Step Details: Step#1: Walk forward to the tub. Step#2: Pick up the sponge in the tub. Step#3: Turn around and veer left to the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0100", + "input": { + "image_file": [ + "0100_0.jpg", + "0100_1.jpg", + "0100_2.jpg", + "0100_3.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Move two bars of soap from the counter to a golden can. Step Details: Step#1: Turn around and walk towards the wall, then hang a right and walk up to the counter. Step#2: Pick up the closest bar of soap off of the counter. Step#3: Turn around and walk to the door, then turn right and walk over to the golden can on the ground in the corner of the room. Current Step: " + }, + "output": {} + }, + { + "id": "0335", + "input": { + "image_file": [ + "0335_0.jpg", + "0335_1.jpg", + "0335_2.jpg", + "0335_3.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Put a rinsed spatula in the drawer next to the stove. Step Details: Step#1: Turn around and walk to the island Step#2: Pick up the spatula from the island. Step#3: Walk around the island to the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0192", + "input": { + "image_file": [ + "0192_0.jpg", + "0192_1.jpg", + "0192_2.jpg", + "0192_3.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Carry a vase while turning on a lamp Step Details: Step#1: Move to the bottom left side of the cabinet Step#2: Pick up the gold vase in the cabinet Step#3: Carry the gold vase to the floor lamp on the right Current Step: " + }, + "output": {} + }, + { + "id": "0289", + "input": { + "image_file": [ + "0289_0.jpg", + "0289_1.jpg", + "0289_2.jpg", + "0289_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Place the sliced apple on the counter. Step Details: Step#1: Turn left and walk up the room and walk towards the fridge, then turn right to face the trash can. Step#2: Pick up the green apple from the trash can.. Step#3: Turn around, turn right, then turn left to face the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0064", + "input": { + "image_file": [ + "0064_0.jpg", + "0064_1.jpg", + "0064_2.jpg", + "0064_3.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put a microwaved potato in the sink. Step Details: Step#1: Turn and go to the sink. Step#2: Pick up a potato in the sink. Step#3: Turn and go to the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0211", + "input": { + "image_file": [ + "0211_0.jpg", + "0211_1.jpg", + "0211_2.jpg", + "0211_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Move a cup from the top shelf to the edge of the desk. Step Details: Step#1: Walk around the bed to the front of the computer desk on your left. Step#2: Pick up the coffee cup from the top shelf of the desk. Step#3: Walk to the side of the computer desk. Current Step: " + }, + "output": {} + }, + { + "id": "0155", + "input": { + "image_file": [ + "0155_0.jpg", + "0155_1.jpg", + "0155_2.jpg", + "0155_3.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: put a clean slice of lettuce on to the counter Step Details: Step#1: move forward facing the counter that is to the right of the stove Step#2: pick up the butter knife that is on the counter to the right of the stove Step#3: turn to the right and move slightly to the right to face the head of lettuce on the counter Current Step: " + }, + "output": {} + }, + { + "id": "0345", + "input": { + "image_file": [ + "0345_0.jpg", + "0345_1.jpg", + "0345_2.jpg", + "0345_3.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put a cold apple in the microwave. Step Details: Step#1: Move forward and go to the counter, adjacent to the fridge. Step#2: Pick up the apple on the counter. Step#3: Turn to your left and move forward, then turn right to go to the fridge. Current Step: " + }, + "output": {} + }, + { + "id": "0020", + "input": { + "image_file": [ + "0020_0.jpg", + "0020_1.jpg", + "0020_2.jpg", + "0020_3.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Examine a basketball by the light of a desk lamp. Step Details: Step#1: Turn right and head to the desk, then turn left and walk to the basketball on the floor. Step#2: Pick up the basketball from the floor. Step#3: Turn left, walk to the desk to the left of the bed and stand in front of the lamp on the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0062", + "input": { + "image_file": [ + "0062_0.jpg", + "0062_1.jpg", + "0062_2.jpg", + "0062_3.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a cooked apple on the table. Step Details: Step#1: Turn around, will forward, then turn right to face the table. Step#2: Pick up the apple from the table. Step#3: Turn right, move forward, turn left, then move forward and to approach the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0315", + "input": { + "image_file": [ + "0315_0.jpg", + "0315_1.jpg", + "0315_2.jpg", + "0315_3.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Put the heated mug in the coffee maker Step Details: Step#1: Turn left and walk through the kitchen to the coffee maker Step#2: Pick up the white mug from the coffee maker Step#3: Turn left and walk through the kitchen over to the microwave above the stove Current Step: " + }, + "output": {} + }, + { + "id": "0130", + "input": { + "image_file": [ + "0130_0.jpg", + "0130_1.jpg", + "0130_2.jpg", + "0130_3.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Heating up a cup of coffee Step Details: Step#1: Walk to the coffee pot Step#2: Grab the coffee cup that is under on coffee pot Step#3: Carry the cup to the microwave Current Step: " + }, + "output": {} + }, + { + "id": "0498", + "input": { + "image_file": [ + "0498_0.jpg", + "0498_1.jpg", + "0498_2.jpg", + "0498_3.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place a clean spatula on a table. Step Details: Step#1: Take a step right. Step#2: Pick up the spatula to the right of the microwave. Step#3: Turn right and walk to the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0245", + "input": { + "image_file": [ + "0245_0.jpg", + "0245_1.jpg", + "0245_2.jpg", + "0245_3.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: Place a container with a spatula in it on a table. Step Details: Step#1: Go forward and a bit right to the counter to the left of the stove. Step#2: Pick up the spatula behind the tomato. Step#3: Turn around and veer right to the white table. Current Step: " + }, + "output": {} + }, + { + "id": "0456", + "input": { + "image_file": [ + "0456_0.jpg", + "0456_1.jpg", + "0456_2.jpg", + "0456_3.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put a heated apple on the table, left of the sponge. Step Details: Step#1: Turn around, move to face the apple on the green table. Step#2: Pick up the apple on the table. Step#3: Bring the apple left, to the microwave over the stove. Current Step: " + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg", + "0240_2.jpg", + "0240_3.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Place a rinsed egg in a microwave. Step Details: Step#1: Turn around and walk to the fridge, then take a couple steps to the right. Face the counter. Step#2: Pick up the egg on the counter. Step#3: Turn around and walk to the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0444", + "input": { + "image_file": [ + "0444_0.jpg", + "0444_1.jpg", + "0444_2.jpg", + "0444_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Putting a hot slice of tomato in the sink Step Details: Step#1: Turn left and go to the counter to the left of the sink Step#2: Grab a tomato off of the counter Step#3: Turn right and go to the sink Current Step: " + }, + "output": {} + }, + { + "id": "0096", + "input": { + "image_file": [ + "0096_0.jpg", + "0096_1.jpg", + "0096_2.jpg", + "0096_3.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: To move two bars of soap to the back of the toilet. Step Details: Step#1: Walk to the sink on the left side. Step#2: Pick up the bar of soap from the left side of the sink. Step#3: Turn around to face the back of the toilet. Current Step: " + }, + "output": {} + }, + { + "id": "0404", + "input": { + "image_file": [ + "0404_0.jpg", + "0404_1.jpg", + "0404_2.jpg", + "0404_3.jpg" + ], + "prompt": "As an intelligent entity, consider your past correct actions and aim for the ultimate goal. Now, examine the data within the picture to decide your immediate action.Your Main Goal: To move a card from the dresser to the right side of the couch. Step Details: Step#1: Take a step forward and turn left and walk forward to face the card on the top of the dresser. Step#2: Pick up the card on the dresser. Step#3: Turn around and step forward to face the couch. Current Step: " + }, + "output": {} + }, + { + "id": "0028", + "input": { + "image_file": [ + "0028_0.jpg", + "0028_1.jpg", + "0028_2.jpg", + "0028_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Slice apple in the trash can, grab a piece, cook it in the microwave, put it in the trash can Step Details: Step#1: Walk towards the counter next to the fridge Step#2: Grab a knife from the counter Step#3: Walk with the knife towards the trash can Current Step: " + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg", + "0385_3.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Put the fork and the pan in the kitchen sink. Step Details: Step#1: Turn left ,walk forward, turn right ,and stand in front of the counter. Step#2: Pick up the fork on the counter Step#3: Turn around and walk forward then turn left and walk towards the stove. Current Step: " + }, + "output": {} + }, + { + "id": "0187", + "input": { + "image_file": [ + "0187_0.jpg", + "0187_1.jpg", + "0187_2.jpg", + "0187_3.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Put the pump bottle on the toilet Step Details: Step#1: Turn right and walk up to the counter between the sinks Step#2: Pick up the pump bottle nearest the counter's edge from the counter Step#3: Turn right and walk up to the toilet Current Step: " + }, + "output": {} + }, + { + "id": "0091", + "input": { + "image_file": [ + "0091_0.jpg", + "0091_1.jpg", + "0091_2.jpg", + "0091_3.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Examine the bat with the light on the desk. Step Details: Step#1: Turn around to face the bat on the ground. Step#2: Pick up the bat on the ground. Step#3: Bring the bat to the lamp on the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0441", + "input": { + "image_file": [ + "0441_0.jpg", + "0441_1.jpg", + "0441_2.jpg", + "0441_3.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place two sets of keys in the entertainment center. Step Details: Step#1: Move to and face the center of the black couch in front of the picture frame on the wall. Step#2: Pick up the set of keys between the red credit card and the laptop from the couch. Step#3: Move around past the coffee table and move to the black entertainment center in front of the television. Current Step: " + }, + "output": {} + }, + { + "id": "0437", + "input": { + "image_file": [ + "0437_0.jpg", + "0437_1.jpg", + "0437_2.jpg", + "0437_3.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Place a heated tomato in a sink. Step Details: Step#1: Go left and turn left at the door to walk to the fridge. Step#2: Open the fridge, remove the chilled tomato from the top shelf and close the door. Step#3: Head left and turn to the microwave on the counter to the right side. Current Step: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Face_Comparison_Visual_Question_Answering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Face_Comparison_Visual_Question_Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..bfbb0df3aab07dc74022388261a01166775d148f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Face_Comparison_Visual_Question_Answering/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Face_Comparison_Visual_Question_Answering", + "data_source": "lfw", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Donald_Rumsfeld_0069.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Donald_Rumsfeld_0016.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0437" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Jeanne_Moreau_0001.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Hector_Grullon_0001.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0087" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Sarah_Hughes_0006.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/John_Moxley_0001.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0208" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Aaron_Peirsol_0001.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Jelena_Dokic_0004.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0246" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Kurt_Hellstrom_0001.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Angela_Lansbury_0002.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0014" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Jennifer_Lopez_0013.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Li_Changchun_0001.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0011" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Laura_Bush_0026.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Naomi_Watts_0004.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0044" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Dave_Wannstedt_0001.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Joshua_Gracin_0001.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0047" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Walter_Mondale_0001.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Bernard_Law_0002.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0043" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Roberto_Carlos_0004.jpg", + "data/image/comprehension/Face_Comparison_Visual_Question_Answering/lfw/images/Takeshi_Kitano_0001.jpg" + ], + "question": "Are the people in the two pictures the same?", + "prompt": "Compare the faces in the two images and determine if they are of the same person. Return a 'yes' or 'no' answer" + }, + "id": "0186" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/FashionConceptVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/FashionConceptVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..22df4f83f8484a0a7dc0fb6a6f9655de84454c47 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/FashionConceptVisualQuestionAnswering/annotation.json @@ -0,0 +1,263 @@ +{ + "set_type": "closeset", + "task": "Fashion Concept Visual Question Answering", + "data_source": "Fashion200K", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "Fashion", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0249", + "input": { + "image_file": [ + "0249_0.jpg", + "0249_1.jpg", + "0249_2.jpg" + ], + "prompt": "Are these three pictures of clothes that are similar in their style of dress? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0188", + "input": { + "image_file": [ + "0188_0.jpg", + "0188_1.jpg", + "0188_2.jpg", + "0188_3.jpg" + ], + "prompt": "Do these four pictures depict clothes of the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0422", + "input": { + "image_file": [ + "0422_0.jpg", + "0422_1.jpg" + ], + "prompt": "Are these two clothes consistent with the same style of fashion? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0295", + "input": { + "image_file": [ + "0295_0.jpg", + "0295_1.jpg", + "0295_2.jpg" + ], + "prompt": "Are these three pictures of clothes in the same style? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0406", + "input": { + "image_file": [ + "0406_0.jpg", + "0406_1.jpg" + ], + "prompt": "Are these two clothes similar in their style of dress? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0397", + "input": { + "image_file": [ + "0397_0.jpg", + "0397_1.jpg" + ], + "prompt": "Do the following two clothes belong to the same dressing style? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg", + "0043_2.jpg", + "0043_3.jpg" + ], + "prompt": "Is the color of the clothes in these four pictures identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0076", + "input": { + "image_file": [ + "0076_0.jpg", + "0076_1.jpg", + "0076_2.jpg", + "0076_3.jpg" + ], + "prompt": "Are the colors of the clothes in these four pictures identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0322", + "input": { + "image_file": [ + "0322_0.jpg", + "0322_1.jpg" + ], + "prompt": "Do these two clothes share the same style theme? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0433", + "input": { + "image_file": [ + "0433_0.jpg", + "0433_1.jpg" + ], + "prompt": "Are these two clothes consistent with the same style of fashion? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0376", + "input": { + "image_file": [ + "0376_0.jpg", + "0376_1.jpg" + ], + "prompt": "Do the following two clothes belong to the same dressing style? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0009", + "input": { + "image_file": [ + "0009_0.jpg", + "0009_1.jpg", + "0009_2.jpg", + "0009_3.jpg" + ], + "prompt": "Do these four pictures show the same color of clothes? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0156", + "input": { + "image_file": [ + "0156_0.jpg", + "0156_1.jpg", + "0156_2.jpg", + "0156_3.jpg" + ], + "prompt": "Is the hue of the clothes in these four pictures the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0068", + "input": { + "image_file": [ + "0068_0.jpg", + "0068_1.jpg", + "0068_2.jpg", + "0068_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same hue? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0290", + "input": { + "image_file": [ + "0290_0.jpg", + "0290_1.jpg", + "0290_2.jpg" + ], + "prompt": "Are these three pictures of clothes that share the same style criteria? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0296", + "input": { + "image_file": [ + "0296_0.jpg", + "0296_1.jpg", + "0296_2.jpg" + ], + "prompt": "Do these three pictures display clothes that fit the same style trend? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0233", + "input": { + "image_file": [ + "0233_0.jpg", + "0233_1.jpg", + "0233_2.jpg", + "0233_3.jpg" + ], + "prompt": "Do these four pictures depict clothes of the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0367", + "input": { + "image_file": [ + "0367_0.jpg", + "0367_1.jpg" + ], + "prompt": "Do these two clothes share the same style theme? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0094", + "input": { + "image_file": [ + "0094_0.jpg", + "0094_1.jpg", + "0094_2.jpg", + "0094_3.jpg" + ], + "prompt": "Do these four pictures depict clothes of the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0246", + "input": { + "image_file": [ + "0246_0.jpg", + "0246_1.jpg", + "0246_2.jpg", + "0246_3.jpg" + ], + "prompt": "Are the clothes in these four pictures the same color? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/FinancialDialogueVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/FinancialDialogueVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7ddeb88086614e74997008d8309b8e68f7144f0e --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/FinancialDialogueVQA/annotation.json @@ -0,0 +1,143 @@ +{ + "set_type": "closeset", + "task": "Financial Dialogue VQA", + "data_source": "MMCoQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "Finance", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0298", + "input": { + "image_file": [ + "0298_0.jpg", + "0298_1.jpg", + "0298_2.jpg", + "0298_3.jpg", + "0298_4.jpg" + ], + "prompt": "Given the available relevant resources including images, texts, tables, and previous Q&A sessions, your task is to accurately answer the forthcoming question.Global Table: History Context 1: Question: What's the TV series with a poster that features a giant eye? Answer: Medium (TV series). History Context 2: Table: Question: What year did Hayley McFarland appear in the tv show? Answer: 2009. History Context 3: Question: What's the TV show whose poster shows a giant eye? Answer: Medium (TV series). Current Context: Question: What part did she play in it? Answer:" + }, + "output": {} + }, + { + "id": "0357", + "input": { + "image_file": [ + "0357_0.jpg", + "0357_1.jpg", + "0357_2.jpg", + "0357_3.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Question: What is the color of the background for the New Girl logo? Answer: black. History Context 2: Text: On May 14, 2017, the series was renewed for a seventh and final season, which will feature eight episodes. On January 4, 2018, it was announced that the seventh and final season would premiere on April 10, 2018, and also it would end with a one-hour series finale, which was aired on May 15, 2018. Question: is this the last season of this TV series Answer: yes. History Context 3: Text: Johnson grew up a fan of the Second City improv troupe. He graduated from New Trier High School in Winnetka and started his post-secondary education at the University of Iowa. While in Iowa City, he wrote a play, which wound up earning him admission to the Dramatic Writing Department at NYU's prestigious Tisch School of the Arts, followed by the 2002 John Golden Playwriting Prize and the Sloan Fellowship for Screenwriting. The New York City off-Broadway group, The Ensemble Studio Theater, produced his play Cousins. Question: where did nick go to college Answer: NYU. University of Iowa. History Context 4: Question: What color is the outline of the font in the logo this film? Answer: yellow. History Context 5: Text: Jessica \"Jess\" Christopher Day (Zooey Deschanel) is a bubbly young woman who teaches at a Los Angeles middle school. Jess comes home to find her boyfriend, Spencer, with another woman and leaves him immediately, and looks for somewhere else to live. She answers an ad for a new roommate on Craigslist, and moves in with three young men: Nick, Schmidt, and Coach. After the pilot episode, Winston, who had previously lived in the apartment with Nick and Schmidt, replaces Coach. Cece, Jessica's childhood best friend and a successful fashion model, also appears in various episodes in the storyline. Coach returns to the loft in season 3 after revealing that he had broken up with his girlfriend Malia, who he moved in with after the pilot episode. Question: Which place does this show takes place Answer: Los Angeles. Current Context: Question: What team competed in the 2012 World Football Challenge from it Answer:" + }, + "output": {} + }, + { + "id": "0386", + "input": { + "image_file": [ + "0386_0.jpg", + "0386_1.jpg", + "0386_2.jpg", + "0386_3.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Text: Marius Ivanovich Petipa (Russian: \u041c\u0430\u0301\u0440\u0438\u0443\u0441 \u0418\u0432\u0430\u0301\u043d\u043e\u0432\u0438\u0447 \u041f\u0435\u0442\u0438\u043f\u0430\u0301), born Victor Marius Alphonse Petipa (11 March 1818\u00a0\u2013 14 July\u00a0[O.S. 1 July]\u00a01910) was a French and Russian ballet dancer, pedagogue and choreographer. Petipa is considered[by whom?] to be the most influential ballet master and choreographer in ballet history. Question: who took over the direction of the st. petersburg ballet in 1869 Answer: Marius Ivanovich Petipa. History Context 2: Table: Question: Which ballet theatre work did Elliot Goldenthal worked? Answer: Othello. History Context 3: Table: Question: What is the Juliet Rylance's Othello stage role? Answer: Desdemona. History Context 4: Question: It has what color hat? Answer: green. History Context 5: Text: Roderigo is a fictional character in Shakespeare's Othello (c.1601-1604), where he serves as the secondary antagonist of the play. He is a dissolute Venetian lusting after Othello's wife Desdemona. Roderigo has opened his purse to Iago in the mistaken belief that Iago is using his money to pave the way to Desdemona's bed. When the assassination of Michael Cassio runs amiss, Iago fatally wounds Roderigo. Text: Michael Cassio, or simply Cassio, is a fictional character in William Shakespeare's Othello. The source of the character is the 1565 tale \"Un Capitano Moro\" by Cinthio; Cassio is unnamed in Cinthio but referred to as \"the squadron leader\". In the play, Cassio is a young and handsome lieutenant under Othello's command who becomes one of Iago's several victims in a plot to ruin Othello. Question: In Shakespeare's \"Othello,\" Iago plotted to assassinate which person under Othello's command and failed? Answer: Michael Cassio. Current Context: Text: Bianca is a fictional character in William Shakespeare's Othello (c.\u00a01601\u20131604). She is Cassio's jealous lover. Despite her brief appearance on stage, Bianca plays a significant role in the progress of Iago's scheme to incite Othello's jealousy of Cassio. Bianca is traditionally regarded as a courtesan, although this occupation is not specifically designated in the drama. The character was occasionally cut from performances in the 19th century on moral grounds. Bianca is not to be confused with Bianca Minola in Shakespeare's The Taming of the Shrew. Text: Bianca is a fictional character in William Shakespeare's Othello (c.\u00a01601\u20131604). She is Cassio's jealous lover. Despite her brief appearance on stage, Bianca plays a significant role in the progress of Iago's scheme to incite Othello's jealousy of Cassio. Bianca is traditionally regarded as a courtesan, although this occupation is not specifically designated in the drama. The character was occasionally cut from performances in the 19th century on moral grounds. Bianca is not to be confused with Bianca Minola in Shakespeare's The Taming of the Shrew. Question: who is bianca and what role does she play in iago's scheme Answer:" + }, + "output": {} + }, + { + "id": "0126", + "input": { + "image_file": [ + "0126_0.jpg", + "0126_1.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: History Context 1: Text: Salford Red Devils R.L.F.C. is a professional rugby league club in Salford, Greater Manchester, England, who play in the Super League. Formed in 1873, they have won six Championships and one Challenge Cup. Their home ground since 2012 has been the AJ Bell Stadium in Barton-upon-Irwell, before which they played at the Willows in Weaste. Before 1995, the club was known simply as Salford, from 1995-98 Salford Reds and from 1999-2013 Salford City Reds. Text: The Salford City Stadium (referred to as the AJ Bell Stadium for sponsorship purposes) is a rugby stadium in Barton-upon-Irwell, Eccles, Salford, England. It was built to replace Salford rugby league club's ground the Willows for the 2012 season. Sale Sharks rugby union club have also played at the stadium since the 2012\u201313 season. Question: In what city is the Salford City Stadium, home to the Salford Red Devils professional rugby club? Answer: Barton-upon-Irwell. History Context 2: Text: Salford Red Devils R.L.F.C. is a professional rugby league club in Salford, Greater Manchester, England, who play in the Super League. Formed in 1873, they have won six Championships and one Challenge Cup. Their home ground since 2012 has been the AJ Bell Stadium in Barton-upon-Irwell, before which they played at the Willows in Weaste. Before 1995, the club was known simply as Salford, from 1995-98 Salford Reds and from 1999-2013 Salford City Reds. Question: Professional rugby player Greg Johnson plays for the team was formed in what year? Answer: 1873. History Context 3: Text: The 2018 Wisconsin gubernatorial election will take place on November 6, 2018, to determine the governor and lieutenant governor of the U.S. state of Wisconsin. It will occur concurrently with the election of Wisconsin's Class I U.S. Senate seat, as well as other elections to the United States Senate in other states and elections to the United States House of Representatives and various state and local elections. Question: when do we vote for governor in wisconsin Answer: November 6, 2018. History Context 4: Text: The Holy See (Italian: Santa Sede; Latin: Sancta Sedes; Ecclesiastical Latin:\u00a0[\u02c8sa\u014bkta \u02c8sedes]), also called the See of Rome, is the ecclesiastical jurisdiction of the Catholic Church in Rome, the episcopal see of the Pope, and an independent sovereign entity. It serves as the central point of reference for the Catholic Church everywhere and the focal point of communion due to its position as the pre-eminent episcopal see of the universal church. Today, it is responsible for the governance of all Catholics, organised in their Particular Churches, Patriarchates and religious institutes. Question: Which place does the country of holy see is located? Answer: Rome. History Context 5: Question: what is at the top of the building in the top right in this place? Answer: dome. History Context 6: Text: With the establishment of the Kalmar Union (1397\u20131523) between Denmark, Norway and Sweden, by about 1416 Copenhagen had emerged as the capital of Denmark when Eric of Pomerania moved his seat to Copenhagen Castle. The University of Copenhagen was inaugurated on 1 June 1479 by King Christian I, following approval from Pope Sixtus IV. This makes it the oldest university in Denmark and one of the oldest in Europe. Originally controlled by the Catholic Church, the university's role in society was forced to change during the Reformation in Denmark in the late 1530s. Question: when did copenhagen become the capital of denmark Answer: by about 1416 Copenhagen had emerged as the capital of Denmark when Eric of Pomerania moved his seat to Copenhagen Castle. History Context 7: Text: Salford Red Devils R.L.F.C. is a professional rugby league club in Salford, Greater Manchester, England, who play in the Super League. Formed in 1873, they have won six Championships and one Challenge Cup. Their home ground since 2012 has been the AJ Bell Stadium in Barton-upon-Irwell, before which they played at the Willows in Weaste. Before 1995, the club was known simply as Salford, from 1995-98 Salford Reds and from 1999-2013 Salford City Reds. Question: This article contains information on rugby league events played in 2009, the season commenced with a friendly match between English Super League clubs Leeds and which professional rugby league club in Salford, Greater Manchester, England, who play in the Super League? Answer: Salford Red Devils R.L.F.C.. Current Context: Text: The 1966\u201367 Northern Rugby Football League season was the 72nd season of rugby league football in Britain. After Leeds had ended the regular season as league leaders, Wakefield Trinity won their first Championship when they beat St. Helens 21-9 in the Final replay, after a 7-7 draw. The Challenge Cup-winners were Featherstone Rovers who beat Barrow 17-12 in the Wembley final. Question: Who was the Challenge Cup winners in the 72nd season of rugby league football in Britain, who beat an English professional rugby league team coached by Paul Crarey? Answer:" + }, + "output": {} + }, + { + "id": "0343", + "input": { + "image_file": [ + "0343_0.jpg", + "0343_1.jpg", + "0343_2.jpg", + "0343_3.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: History Context 1: Question: What's the department that has snowy mountain peaks around a lake? Answer: La Paz Department (Bolivia). History Context 2: Table: Question: For it, what was the others listed in the 1993 Bolivian general election results by department? Answer: 13.72%. History Context 3: Question: What's the department of the 1993 Bolivian general election that features a lake next to mountain peaks covered in snow? Answer: La Paz Department (Bolivia). Current Context: Text: In 1898, La Paz was made the de facto seat of the national government, with Sucre remaining the nominal historical as well as judiciary capital. This change reflected the shift of the Bolivian economy away from the largely exhausted silver mines of Potos\u00ed to the exploitation of tin near Oruro, and resulting shifts in the distribution of economic and political power among various national elites. Question: in what year did it become the capital of the country? Answer:" + }, + "output": {} + }, + { + "id": "0148", + "input": { + "image_file": [ + "0148_0.jpg", + "0148_1.jpg", + "0148_2.jpg", + "0148_3.jpg", + "0148_4.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: History Context 1: Question: When viewing Evander Holyfield\u2019s pay-per-view battle, who is the one showing only one person\u2019s activity on the poster? Answer: James Toney. History Context 2: Table: Question: When looking at Evander Holyfield's Pay-Per-View fights, which network broadcasts James Toney's show Answer: Showtime. History Context 3: Question: When viewing Evander Holyfield\u2019s pay-per-view battle, who is the one showing only one person\u2019s activity on the poster? Answer: James Toney. Current Context: Question: When looking at Evander Holyfield's Pay-Per-View fights, which network broadcasts James Toney's show Answer:" + }, + "output": {} + }, + { + "id": "0092", + "input": { + "image_file": [ + "0092_0.jpg", + "0092_1.jpg" + ], + "prompt": "Drawing upon a pool of relevant data, including imagery, textual data, tables, and previous Q&A exchanges, your responsibility is to correctly answer the impending question.Global Table: Current Context: Question: Who won Digital Ally 250 as part of Team ThorSport Racing and driving a Chevrolet? Answer:" + }, + "output": {} + }, + { + "id": "0098", + "input": { + "image_file": [ + "0098_0.jpg", + "0098_1.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: Current Context: Question: What are the TV shows with posters for toddlers? Answer:" + }, + "output": {} + }, + { + "id": "0065", + "input": { + "image_file": [ + "0065_0.jpg", + "0065_1.jpg" + ], + "prompt": "Given a set of relevant data, comprising images, text, tables, as well as prior Q&A interactions, please provide an accurate response to the subsequent query.Global Table: Current Context: Question: Who is the bearded contestant? Answer:" + }, + "output": {} + }, + { + "id": "0025", + "input": { + "image_file": [ + "0025_0.jpg", + "0025_1.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Text: \"Marry You\" is a song by American singer and songwriter Bruno Mars from his debut studio album, Doo-Wops & Hooligans (2010). Written and produced by The Smeezingtons, the track serves as the record's sixth track and was released as a single outside of the United States. \"Marry You\" is a pop song featuring strong influences of doo-wop and soul music. The recording focuses on spontaneous marriage and therefore, since its release, has frequently been used as a proposal song. Question: who sang i think i want to marry you Answer: Bruno Mars. Current Context: Question: What song did he perform at the 2013 MTV Video Music Awards Answer:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/GenderRecognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/GenderRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e5d2792a592ecbe92a3885900cf03fa6376876f2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/GenderRecognition/annotation.json @@ -0,0 +1,224 @@ +{ + "task": "Gender Recognition", + "data_source": "https://www.kaggle.com/datasets/trainingdatapro/gender-detection-and-classification-image-dataset", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "category": "men, women" + }, + "data": [ + { + "input": { + "image_file": "gr_0028.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0028" + }, + { + "input": { + "image_file": "gr_0248.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0248" + }, + { + "input": { + "image_file": "gr_0093.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0093" + }, + { + "input": { + "image_file": "gr_0235.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0235" + }, + { + "input": { + "image_file": "gr_0166.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0166" + }, + { + "input": { + "image_file": "gr_0131.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0131" + }, + { + "input": { + "image_file": "gr_0119.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0119" + }, + { + "input": { + "image_file": "gr_0081.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0081" + }, + { + "input": { + "image_file": "gr_0063.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0063" + }, + { + "input": { + "image_file": "gr_0291.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0291" + }, + { + "input": { + "image_file": "gr_0019.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0019" + }, + { + "input": { + "image_file": "gr_0084.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0084" + }, + { + "input": { + "image_file": "gr_0150.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0150" + }, + { + "input": { + "image_file": "gr_0117.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0117" + }, + { + "input": { + "image_file": "gr_0215.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0215" + }, + { + "input": { + "image_file": "gr_0222.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0222" + }, + { + "input": { + "image_file": "gr_0137.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0137" + }, + { + "input": { + "image_file": "gr_0161.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0161" + }, + { + "input": { + "image_file": "gr_0128.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0128" + }, + { + "input": { + "image_file": "gr_0146.jpg", + "prompt": "recognize gender in the image. Return men or women." + }, + "output": { + "text": "Unavailable" + }, + "id": "gr_0146" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/GridAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/GridAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ae54cb576dd127e9b90724588ec0e613fa4c71ea --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/GridAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "grid anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "19", + "input": { + "image_file": "19.png", + "prompt": "Detect the anomaly region of the grid" + } + }, + { + "id": "29", + "input": { + "image_file": "29.png", + "prompt": "Detect the anomaly region of the grid" + } + }, + { + "id": "25", + "input": { + "image_file": "25.png", + "prompt": "Detect the anomaly region of the grid" + } + }, + { + "id": "21", + "input": { + "image_file": "21.png", + "prompt": "Detect the anomaly region of the grid" + } + }, + { + "id": "1", + "input": { + "image_file": "1.png", + "prompt": "Detect the anomaly region of the grid" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Handwritten_Formula_Visual_Question_Answering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Handwritten_Formula_Visual_Question_Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c01d98e97ecfbc720ad6ab58fdc9c38c82175ec8 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Handwritten_Formula_Visual_Question_Answering/annotation.json @@ -0,0 +1,101 @@ +{ + "set_type": "closeset", + "task": "Handwritten_Formula_Visual_Question_Answering", + "data_source": "chrome2016", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": "Mathematics", + "general_capability": "Reasoning Ability", + "version": "1.0", + "data": [ + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_1040.png", + "question": "Is the expression the same as the one shown in the picture?\\[\\frac{1}{x^{6}}\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0133" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_1135.png", + "question": "Is the expression the same as the one shown in the picture?\\[x=|a-b|+1+2n\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0217" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_561.png", + "question": "Is the expression the same as the one shown in the picture?\\[\\pm \\sqrt{u}\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0447" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_659.png", + "question": "Is the expression the same as the one shown in the picture?\\[a \\geq( \\frac{n-3}{n-1})( \\frac{2}{(n-1)c})^{ \\frac{2}{n-3}}\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0224" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_313.png", + "question": "Is the expression the same as the one shown in the picture?\\[a=a_{0}+a_{1}+ \\ldots\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0375" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_394.png", + "question": "Is the expression the same as the one shown in the picture?\\[\\frac{dA^{-1}}{dx}=-A^{-1} \\frac{dA}{dx}A^{-1}\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0427" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_917.png", + "question": "Is the expression the same as the one shown in the picture?\\[C=C_{xy}C_{yx}\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0411" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_437.png", + "question": "Is the expression the same as the one shown in the picture?\\[\\sum_{n} \\int dx\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0226" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_142.png", + "question": "Is the expression the same as the one shown in the picture?\\[1 \\div 10\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0025" + }, + { + "input": { + "image_file": "data/image/comprehension/Handwritten_Formula_Visual_Question_Answering/chrome2016/images/image_462.png", + "question": "Is the expression the same as the one shown in the picture?\\[-99\\]", + "prompt": "Compare the formula in the given image with the formula written in the question. Returns a \"yes\" or \"no\" answer." + }, + "id": "0474" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/HazelnutAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/HazelnutAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..92e05e363cb0ffc8bfbe6bdd409ca94ee4484f32 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/HazelnutAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "hazelnut anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "25", + "input": { + "image_file": "25.png", + "prompt": "Detect the anomaly region of the hazelnut" + } + }, + { + "id": "33", + "input": { + "image_file": "33.png", + "prompt": "Detect the anomaly region of the hazelnut" + } + }, + { + "id": "19", + "input": { + "image_file": "19.png", + "prompt": "Detect the anomaly region of the hazelnut" + } + }, + { + "id": "4", + "input": { + "image_file": "4.png", + "prompt": "Detect the anomaly region of the hazelnut" + } + }, + { + "id": "29", + "input": { + "image_file": "29.png", + "prompt": "Detect the anomaly region of the hazelnut" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/HistoricalMulti-SourceDialogue/annotation.json b/Scope-A/S-A-Quick/image/comprehension/HistoricalMulti-SourceDialogue/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c043065026b82cd723436ea33db3360f0661315d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/HistoricalMulti-SourceDialogue/annotation.json @@ -0,0 +1,132 @@ +{ + "set_type": "closeset", + "task": "Historical Multi-Source Dialogue", + "data_source": "MMCoQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0444", + "input": { + "image_file": [ + "0444_0.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: Current Context: Text: Xbox Game Pass is a subscription service from Microsoft for use with its Xbox One games console. Described as \"Netflix for video games\", the Xbox Game Pass grants users access to a catalog of games from a range of publishers for a single monthly subscription price. The service was launched on June 1, 2017 while Xbox Live Gold subscribers received priority access on May 24. Question: what is the game pass on xbox one Answer:" + }, + "output": {} + }, + { + "id": "0089", + "input": { + "image_file": [ + "0089_0.jpg", + "0089_1.jpg", + "0089_2.jpg", + "0089_3.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: History Context 1: Question: Who is the bearded contestant? Answer: Markus Eisenbichler. History Context 2: Table: Question: In the Oberstdorf results at the 2017-2018 Four Hills Tournament, how many points did he have? Answer: 255.1. Current Context: Question: Who is the bearded competitor? Answer:" + }, + "output": {} + }, + { + "id": "0212", + "input": { + "image_file": [ + "0212_0.jpg" + ], + "prompt": "Given the available relevant resources including images, texts, tables, and previous Q&A sessions, your task is to accurately answer the forthcoming question.Global Table: History Context 1: Text: Lolita is a 1997 American-French drama film directed by Adrian Lyne and written by Stephen Schiff. It is the second screen adaptation of Vladimir Nabokov's novel of the same name and stars Jeremy Irons as Humbert Humbert and Dominique Swain as Dolores \"Lolita\" Haze, with supporting roles by Melanie Griffith as Charlotte Haze, and Frank Langella as Clare Quilty. The film is about a middle-aged male professor, Humbert (Irons), who rents a room in the house of the widow Charlotte Haze (Griffith), because he is sexually attracted to her adolescent daughter Dolores (Swain), also called \"Lo\" or \"Lolita\". Question: Erin Jane Dean, is an American actress, and she appeared in the movie Lolita, released in which year, a 1997 American-French drama film directed by Adrian Lyne and written by Stephen Schiff? Answer: 1997. History Context 2: Text: Carol is a 2015 British-American romantic drama film directed by Todd Haynes. The screenplay, written by Phyllis Nagy, is based on the 1952 romance novel The Price of Salt by Patricia Highsmith (republished as Carol in 1990). The film stars Cate Blanchett, Rooney Mara, Sarah Paulson, Jake Lacy, and Kyle Chandler. Set in New York City during the early 1950s, Carol tells the story of a forbidden affair between an aspiring female photographer and an older woman going through a difficult divorce. Text: Carol is a 2015 British-American romantic drama film directed by Todd Haynes. The screenplay, written by Phyllis Nagy, is based on the 1952 romance novel The Price of Salt by Patricia Highsmith (republished as Carol in 1990). The film stars Cate Blanchett, Rooney Mara, Sarah Paulson, Jake Lacy, and Kyle Chandler. Set in New York City during the early 1950s, Carol tells the story of a forbidden affair between an aspiring female photographer and an older woman going through a difficult divorce. Text: Carol is a 2015 British-American romantic drama film directed by Todd Haynes. The screenplay, written by Phyllis Nagy, is based on the 1952 romance novel The Price of Salt by Patricia Highsmith (republished as Carol in 1990). The film stars Cate Blanchett, Rooney Mara, Sarah Paulson, Jake Lacy, and Kyle Chandler. Set in New York City during the early 1950s, Carol tells the story of a forbidden affair between an aspiring female photographer and an older woman going through a difficult divorce. Text: Carter Benedict Burwell (born November 18, 1954) is an American composer of film scores. He has frequently collaborated with the Coen brothers, having scored 15 of their films. Burwell has scored three of Todd Haynes' films, receiving an Academy Award nomination for Best Original Score for Haynes' Carol (2015). Other notable films scores include the Spike Jonze films Being John Malkovich (1999), Adaptation (2002) and Where the Wild Things Are (2009), David O. Russell's Three Kings (1999), Olive Kitteridge (2014), Anomalisa (2015), and Three Billboards Outside Ebbing, Missouri (2017). Question: Carter Benedict Burwell, is an American composer of film scores, Burwell has scored three of Todd Haynes' films, receiving an Academy Award nomination for Best Original Score for which 2015 British-American romantic drama film, directed by Todd Haynes? Answer: Carol. Current Context: Text: Ismael's Ghosts (French: Les Fant\u00f4mes d'Isma\u00ebl) is a 2017 French drama film directed by Arnaud Desplechin, starring Mathieu Amalric, Marion Cotillard, Charlotte Gainsbourg and Louis Garrel. The film follows a filmmaker whose life is sent into a tailspin, just as he is about to start shooting a new film, by the return of his wife, who disappeared 20 years ago and whom he thought dead. Ismael's Ghosts premiered at the 2017 Cannes Film Festival as the opening film. Text: Ismael's Ghosts (French: Les Fant\u00f4mes d'Isma\u00ebl) is a 2017 French drama film directed by Arnaud Desplechin, starring Mathieu Amalric, Marion Cotillard, Charlotte Gainsbourg and Louis Garrel. The film follows a filmmaker whose life is sent into a tailspin, just as he is about to start shooting a new film, by the return of his wife, who disappeared 20 years ago and whom he thought dead. Ismael's Ghosts premiered at the 2017 Cannes Film Festival as the opening film. Text: The 70th Cannes Film Festival took place from 17 to 28 May 2017, in Cannes, France. Spanish film director and screenwriter Pedro Almod\u00f3var was the President of the Jury for the festival and Italian actress Monica Bellucci hosted the opening and closing ceremonies. Ismael's Ghosts, directed by French director Arnaud Desplechin, was the opening film for the festival. Question: The 70th Cannes Film Festival took place from 17 to 28 May 2017, in Cannes, France featured what opening film, a 2017 French drama film directed by Arnaud Desplechin and starred Mathieu Amalric, Marion Cotillard, Charlotte Gainsbourg and Louis Garrel? Answer:" + }, + "output": {} + }, + { + "id": "0262", + "input": { + "image_file": [ + "0262_0.jpg" + ], + "prompt": "Provided with a diverse set of relevant data, encompassing images, texts, tables, and a record of past Q&A interactions, you're tasked with providing an accurate response to the subsequent query.Global Table: Current Context: Text: Regan is a fictional character in William Shakespeare's tragic play, King Lear, named after a King of the Britons recorded by the medieval scribe Geoffrey of Monmouth. Text: Goneril is a character in Shakespeare's tragic play King Lear (1605). She is the eldest of King Lear's three daughters. Along with her sister Regan, Goneril is considered a villain, obsessed with power and overthrowing her elderly father as ruler of the kingdom of Britain. Her aggressiveness is a rare trait for a female character in Elizabethan literature. Text: Goneril is a character in Shakespeare's tragic play King Lear (1605). She is the eldest of King Lear's three daughters. Along with her sister Regan, Goneril is considered a villain, obsessed with power and overthrowing her elderly father as ruler of the kingdom of Britain. Her aggressiveness is a rare trait for a female character in Elizabethan literature. Question: What Shakespearean play named after a King of the Britons recorded by the medieval scribe Geoffrey of Monmouth included a character considered a villain, obsessed with power and overthrowing her elderly father? Answer:" + }, + "output": {} + }, + { + "id": "0207", + "input": { + "image_file": [ + "0207_0.jpg" + ], + "prompt": "Provided with a diverse set of relevant data, encompassing images, texts, tables, and a record of past Q&A interactions, you're tasked with providing an accurate response to the subsequent query.Global Table: Current Context: Text: Filming began on August 15, 2016, in Toronto and Hamilton, Ontario, and wrapped on November 6, 2016. Text: Filming began on August 15, 2016, in Toronto and Hamilton, Ontario, and wrapped on November 6, 2016. Question: where was the Shape of Water filmed? Answer:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg", + "0043_2.jpg", + "0043_3.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Text: Both versions of \"Beauty and the Beast\" were very successful, garnering both a Golden Globe and Academy Award for Best Original Song, as well as Grammy Awards for Best Song Written for Visual Media and Best Pop Performance by a Duo or Group with Vocals. The single was also nominated for the Grammy Award for Record of the Year and the Grammy Award for Song of the Year. Lansbury's performance has been universally lauded by both film and music critics. While the Dion-Bryson version received mixed reviews from critics who felt that it was inferior to Lansbury's original, the single became a commercial success, peaking at number nine on the Billboard Hot 100 and becoming the better-known of the two renditions. In addition to returning Disney songs to the pop charts after a thirty-year absence, the success of \"Beauty and the Beast\" also launched Dion's career and established her as a bankable recording artist. After \"Beauty and the Beast\" became the first Disney song to undergo a complete pop transformation, several contemporary artists were inspired to release their own radio-friendly renditions of Disney songs throughout the decade. Considered to be among Disney's best and most popular songs, \"Beauty and the Beast\" has since been covered by numerous artists. In 2004, the American Film Institute officially recognized \"Beauty and the Beast\" as one of the greatest songs in film history, ranking it 62nd. Question: Which movie of the same name is the same name as the Disney movie? , The film features an Oscar-winning song that is also a hit on the billboard? Answer: Beauty and the Beast. History Context 2: Table: Question: What theatrical role did Daniel Boaventura play in Beauty and the Beast Answer: Gaston. History Context 3: Text: Both versions of \"Beauty and the Beast\" were very successful, garnering both a Golden Globe and Academy Award for Best Original Song, as well as Grammy Awards for Best Song Written for Visual Media and Best Pop Performance by a Duo or Group with Vocals. The single was also nominated for the Grammy Award for Record of the Year and the Grammy Award for Song of the Year. Lansbury's performance has been universally lauded by both film and music critics. While the Dion-Bryson version received mixed reviews from critics who felt that it was inferior to Lansbury's original, the single became a commercial success, peaking at number nine on the Billboard Hot 100 and becoming the better-known of the two renditions. In addition to returning Disney songs to the pop charts after a thirty-year absence, the success of \"Beauty and the Beast\" also launched Dion's career and established her as a bankable recording artist. After \"Beauty and the Beast\" became the first Disney song to undergo a complete pop transformation, several contemporary artists were inspired to release their own radio-friendly renditions of Disney songs throughout the decade. Considered to be among Disney's best and most popular songs, \"Beauty and the Beast\" has since been covered by numerous artists. In 2004, the American Film Institute officially recognized \"Beauty and the Beast\" as one of the greatest songs in film history, ranking it 62nd. Question: Which movie is Walt Disney's movie Answer: Beauty and the Beast. History Context 4: Table: Question: In which year was Beauty and the Beast released, and the hit songs on the movie\u2019s billboard were Oscar-winning songs? Answer: 2014. History Context 5: Text: Both versions of \"Beauty and the Beast\" were very successful, garnering both a Golden Globe and Academy Award for Best Original Song, as well as Grammy Awards for Best Song Written for Visual Media and Best Pop Performance by a Duo or Group with Vocals. The single was also nominated for the Grammy Award for Record of the Year and the Grammy Award for Song of the Year. Lansbury's performance has been universally lauded by both film and music critics. While the Dion-Bryson version received mixed reviews from critics who felt that it was inferior to Lansbury's original, the single became a commercial success, peaking at number nine on the Billboard Hot 100 and becoming the better-known of the two renditions. In addition to returning Disney songs to the pop charts after a thirty-year absence, the success of \"Beauty and the Beast\" also launched Dion's career and established her as a bankable recording artist. After \"Beauty and the Beast\" became the first Disney song to undergo a complete pop transformation, several contemporary artists were inspired to release their own radio-friendly renditions of Disney songs throughout the decade. Considered to be among Disney's best and most popular songs, \"Beauty and the Beast\" has since been covered by numerous artists. In 2004, the American Film Institute officially recognized \"Beauty and the Beast\" as one of the greatest songs in film history, ranking it 62nd. Question: Ellen Albertini Dow starred in a Disney movie featuring No. 1 Billboard and Oscar-winning song Answer: Beauty and the Beast. History Context 6: Table: Question: when did he play in this movie? Answer: 1987. Current Context: Text: Both versions of \"Beauty and the Beast\" were very successful, garnering both a Golden Globe and Academy Award for Best Original Song, as well as Grammy Awards for Best Song Written for Visual Media and Best Pop Performance by a Duo or Group with Vocals. The single was also nominated for the Grammy Award for Record of the Year and the Grammy Award for Song of the Year. Lansbury's performance has been universally lauded by both film and music critics. While the Dion-Bryson version received mixed reviews from critics who felt that it was inferior to Lansbury's original, the single became a commercial success, peaking at number nine on the Billboard Hot 100 and becoming the better-known of the two renditions. In addition to returning Disney songs to the pop charts after a thirty-year absence, the success of \"Beauty and the Beast\" also launched Dion's career and established her as a bankable recording artist. After \"Beauty and the Beast\" became the first Disney song to undergo a complete pop transformation, several contemporary artists were inspired to release their own radio-friendly renditions of Disney songs throughout the decade. Considered to be among Disney's best and most popular songs, \"Beauty and the Beast\" has since been covered by numerous artists. In 2004, the American Film Institute officially recognized \"Beauty and the Beast\" as one of the greatest songs in film history, ranking it 62nd. Question: Which is the live-action Meghana Erande Disney movie with Billboard No. 1 and Oscar-winning song? Answer:" + }, + "output": {} + }, + { + "id": "0482", + "input": { + "image_file": [ + "0482_0.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: Current Context: Text: The Ultimate Fighting Championship (UFC) is an American mixed martial arts organization based in Las Vegas, Nevada, that is owned and operated by parent company WME\u2013IMG. It is the largest MMA promotion in the world and features the top-ranked fighters of the sport. Based in the United States, the UFC produces events worldwide that showcase eleven weight divisions and abide by the Unified Rules of Mixed Martial Arts. As of 2017, the UFC has held over 400 events. Dana White serves as the president of the UFC. He has held that position since 2001; while under the leadership of Dana White the UFC has grown into a globally popular multibillion-dollar enterprise. Question: What city and state is the organization that Alexander Volkanovski competes in based in? Answer:" + }, + "output": {} + }, + { + "id": "0260", + "input": { + "image_file": [ + "0260_0.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: Current Context: Text: Colasanti's Tropical Gardens is an indoor entertainment and shopping centre, situated in the community of Ruthven, part of Kingsville, Ontario. The tropical gardens are housed in 15 temperature-controlled greenhouses and feature exotic birds (Macaw, Cockatoo, Amazon Parrot), home grown tropical plants, a small produce market, domestic and miniature animals, kids rides, an 18 hole mini golf course, home decor shopping, and a restaurant. Text: A cockatoo is a parrot that is any of the 21 species belonging to the bird family Cacatuidae, the only family in the superfamily Cacatuoidea. Along with the Psittacoidea (true parrots) and the Strigopoidea (large New Zealand parrots), they make up the order Psittaciformes (parrots). The family has a mainly Australasian distribution, ranging from the Philippines and the eastern Indonesian islands of Wallacea to New Guinea, the Solomon Islands and Australia. Question: Colasanti's Tropical Gardens features which exotic bird that is mainly endemic to Australasia? Answer:" + }, + "output": {} + }, + { + "id": "0171", + "input": { + "image_file": [ + "0171_0.jpg", + "0171_1.jpg", + "0171_2.jpg", + "0171_3.jpg", + "0171_4.jpg", + "0171_5.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: History Context 1: Question: Which team has an ocean predator on its logo? Answer: Cronulla-Sutherland Sharks. History Context 2: Table: Question: When it was the away team, what was the home team in the thirteenth round of the 2010 NRL season results? Answer: Sydney Roosters. History Context 3: Question: Which team had a shark on its logo? Answer: Cronulla-Sutherland Sharks. History Context 4: Table: Question: When it was the away team, what was the score in round 20 of the results in 2018 season? Answer: 12-10. Current Context: Question: Which team had a shark on its logo? Answer:" + }, + "output": {} + }, + { + "id": "0468", + "input": { + "image_file": [ + "0468_0.jpg" + ], + "prompt": "Given the available relevant resources including images, texts, tables, and previous Q&A sessions, your task is to accurately answer the forthcoming question.Global Table: Current Context: Text: The baguette is a small, compact handbag designed by Fendi in 1997. Made popular by its exposure on Sex and the City, the designer handbag was very popular in the late 1990s and early 2000s, often cited as the first \"It\" bag. Text: Sex and the City was an American romantic comedy television series created by Darren Star and produced by HBO. Broadcast from 1998 until 2004, the original run of the show had a total of 94 episodes. Throughout its six-year run, the show received contributions from various producers, writers, and directors, perhaps most significantly from Michael Patrick King. Question: What American romantic comedy television series created by Darren Star and produced by HBO, made a small, compact handbag designed by Fendi in 1997 popular? Answer:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b3ac36eeab70c650fcf7e9907d5d1b9df06eff3d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Image_Pair_Multi-Attribute_Question_Answering", + "data_source": "nlvr2", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5667_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5667_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\na dog is sitting and facing the right on a stone surface (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0235" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_563_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_563_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere is a dog on a pure white background. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0108" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6704_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6704_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn at least one image there is a black ox with pointy horns facing straight up with his head facing directly forward. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0168" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4813_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4813_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are at least four pairs of black knee braces. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0330" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_644_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_644_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nEach image features a train with a curved V-shape on its front, and a blue lower half and pale upper half. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0434" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4612_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4612_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne of the monitors is silver in color. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0105" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5007_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5007_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe right image contains one brown canoe, and the left image includes an empty green canoe displayed upright at an angle. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0170" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5854_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5854_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows three red-orange dogs in collars standing on a hill and gazing in the distance. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0487" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2404_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2404_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn at least one image there is a locked pink case that is framed by metal titled with the left side forward. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0050" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_1362_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_1362_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image shows three side-by-side gray-and-white husky puppies in upright sitting poses, and all dogs in both images are puppies. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0079" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4967_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4967_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image contains two parrots, and one of them has only red feathers on its head. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0340" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5543_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5543_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAt least one vending machine at a control panel with a very light gray background. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0004" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_420_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_420_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows two mugs of frothy brown beverage dispayed near rustic wood planks. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0253" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6482_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6482_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe left and right image contains a total of four white open sails. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0488" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_372_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_372_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nthere are 3 cell phones in the image, the middle phone has a green alien with antennae ears on the front (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0247" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5072_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5072_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image contains one camera-facing guinea pig with white down the middle of its face, posed in an outdoor setting. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0167" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2501_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2501_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are lemon slices on the dessert in at least one of the images. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0260" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2859_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2859_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere is a blue chair with holes at a computer desk in one of the images. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0107" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_3516_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_3516_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image contains a sofa and pillows in only neutral brownish shades, and the other image includes some blue element. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0425" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6515_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6515_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere is a blue tent. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0132" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4312_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_4312_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere is a total of 1 completely black baby wolf with an adult wolf. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0461" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5471_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_5471_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are two lemon trees. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0109" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_3531_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_3531_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe left image contains one square white pillow with an all-over shaggy texture. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0072" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2813_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2813_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are two white ring binders closed. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0453" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2139_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2139_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne of the images contains at least three graduates with gold-colored sashes around their necks. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0138" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2876_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2876_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows an L-shaped white sofa with shelving that wraps around it and has a black interior. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0135" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_812_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_812_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows a three-colored hound standing with its body in profile and its white-tipped tail raised. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0263" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2361_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2361_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image shows a stingray on the seabed, and the other image features a black stingray with vivid white markings and two sucker fish attached on each side of its head. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0284" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6363_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_6363_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows a unit with side-by-side dual dispensers, which feature Asian characters and bold black letters on the front, as well as black press buttons. (A) False (B) True", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0414" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2193_0.png", + "data/image/comprehension/Image_Pair_Multi-Attribute_Question_Answering/nlvr2/images/image_2193_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image contains no more than two shoe depictions, but not a side-by-side pair, and the other image shows rows of left-facing shoes on floating platforms in front of a brown wall. (A) True (B) False", + "prompt": "Evaluate the statement based on the images and answer whether it is true or false. Return 'A' for True and 'B' for False." + }, + "id": "0038" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Image_Similarity_Visual_Question_Answering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Image_Similarity_Visual_Question_Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..91d001f822f425daab414b9f3af82a2a56c9e2aa --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Image_Similarity_Visual_Question_Answering/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Image_Similarity_Visual_Question_Answering", + "data_source": "ttl", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": "Reasoning Ability ", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/01379_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/01379_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0447" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/04545_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/04545_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0370" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/04816_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/04816_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0432" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/05655_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/05655_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0120" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/01160_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/01160_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0265" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/00078_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/00078_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0380" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/05596_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/05596_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0117" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/02672_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/02672_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0062" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/03741_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/03741_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0106" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/03000_0.jpg", + "data/image/comprehension/Image_Similarity_Visual_Question_Answering/ttl/images/03000_1.jpg" + ], + "question": "Do these pictures exhibit similarities in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, or color composition?", + "prompt": "Compare the two images in terms of facial features, global shape, near-duplicates, facial resemblance, textural patterns, and color composition. Return 'yes' if they exhibit similarities in any of these aspects, otherwise return 'no'." + }, + "id": "0188" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/IndustrialInspectionMulti-ImageReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/IndustrialInspectionMulti-ImageReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..37ce59b6468e35e80ce1985eaf3a0c47bd5f80dc --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/IndustrialInspectionMulti-ImageReasoning/annotation.json @@ -0,0 +1,261 @@ +{ + "set_type": "closeset", + "task": "Industrial Inspection Multi-Image Reasoning", + "data_source": "VISION", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "Engineering", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0249", + "input": { + "image_file": [ + "0249_0.jpg", + "0249_1.jpg", + "0249_2.jpg", + "0249_3.jpg" + ], + "prompt": "Are the damages on these two identical workpieces similar? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0462", + "input": { + "image_file": [ + "0462_0.jpg", + "0462_1.jpg", + "0462_2.jpg", + "0462_3.jpg" + ], + "prompt": "Are the damages to the following two identical workpieces of the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0021", + "input": { + "image_file": [ + "0021_0.jpg", + "0021_1.jpg" + ], + "prompt": "Are these two workpieces the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0282", + "input": { + "image_file": [ + "0282_0.jpg", + "0282_1.jpg", + "0282_2.jpg", + "0282_3.jpg" + ], + "prompt": "Are the damages on both workpieces the same? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0435", + "input": { + "image_file": [ + "0435_0.jpg", + "0435_1.jpg", + "0435_2.jpg", + "0435_3.jpg" + ], + "prompt": "Are the damages on these two identical workpieces equal? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0225", + "input": { + "image_file": [ + "0225_0.jpg", + "0225_1.jpg" + ], + "prompt": "Are these two workpieces of the same kind? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0052", + "input": { + "image_file": [ + "0052_0.jpg", + "0052_1.jpg" + ], + "prompt": "Are these two workpieces the same category? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0466", + "input": { + "image_file": [ + "0466_0.jpg", + "0466_1.jpg", + "0466_2.jpg", + "0466_3.jpg" + ], + "prompt": "Are the damages on these two identical workpieces equal? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0056", + "input": { + "image_file": [ + "0056_0.jpg", + "0056_1.jpg" + ], + "prompt": "Are these two workpieces the same classification? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg" + ], + "prompt": "Are these two workpieces the same classification? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0259", + "input": { + "image_file": [ + "0259_0.jpg", + "0259_1.jpg", + "0259_2.jpg", + "0259_3.jpg" + ], + "prompt": "Are the damages on both workpieces identical? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0223", + "input": { + "image_file": [ + "0223_0.jpg", + "0223_1.jpg" + ], + "prompt": "Are these two workpieces the same category? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0226", + "input": { + "image_file": [ + "0226_0.jpg", + "0226_1.jpg" + ], + "prompt": "Are these two workpieces the same category? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0389", + "input": { + "image_file": [ + "0389_0.jpg", + "0389_1.jpg", + "0389_2.jpg", + "0389_3.jpg" + ], + "prompt": "Do both workpieces have the same damages? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0024", + "input": { + "image_file": [ + "0024_0.jpg", + "0024_1.jpg" + ], + "prompt": "Are these two workpieces the same classification? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0499", + "input": { + "image_file": [ + "0499_0.jpg", + "0499_1.jpg", + "0499_2.jpg", + "0499_3.jpg" + ], + "prompt": "Are the damages on both workpieces of the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg", + "0385_3.jpg" + ], + "prompt": "Do both workpieces have damages of the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0064", + "input": { + "image_file": [ + "0064_0.jpg", + "0064_1.jpg" + ], + "prompt": "Are these two workpieces of the same kind? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0009", + "input": { + "image_file": [ + "0009_0.jpg", + "0009_1.jpg" + ], + "prompt": "Are these two workpieces the same genre? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg", + "0452_2.jpg", + "0452_3.jpg" + ], + "prompt": "Do both workpieces have damages of the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Infrared_Thermal_Image_Classification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Infrared_Thermal_Image_Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e6aa998eb8ea8efa86ebcf321330f9c6a09eb33b --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Infrared_Thermal_Image_Classification/annotation.json @@ -0,0 +1,101 @@ +{ + "set_type": "closeset", + "task": "Infrared_Thermal_Image_Classification", + "data_source": "https://www.kaggle.com/datasets/rauldbcet/radar-threat-object-classification", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": "Infrared", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Scissor3_test_ls.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0161" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Scissor64_LR_rs.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0097" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Knife10_test_ls.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0459" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Grenade1_test_90.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0406" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Scissor3_test_rs.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0448" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Scissor9_test_ls.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0460" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Scissor14_test_rs.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0393" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Gun4_test_90.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0207" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Knife88_LR_90.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0464" + }, + { + "input": { + "image_file": "./data/image/comprehension/Infrared_Thermal_Image_Classification/images/Grenade37_LR_rs.png", + "prompt": "Analyze the infrared thermal image and identify the object depicted in the image. Return the name of the object.", + "instruction": "Identify the object based on infrared thermal image." + }, + "id": "0169" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Internet-Retrieved-InformationVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Internet-Retrieved-InformationVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6ff0786867c066cf01722e25f624a4e983584cc2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Internet-Retrieved-InformationVisualQuestionAnswering/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Internet-Retrieved-Information Visual Question Answering", + "data_source": "webqa", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0022", + "input": { + "image_file": [ + "0022_0.jpg", + "0022_1.jpg" + ], + "prompt": "Having viewed the images, can you use the information presented to answer the following question? You must choose your answer from the Choice List. Image Caption #1: 115-119 8th Avenue Adams Residence Image Caption #2: Eighth Avenue Place, Calgary, Crop, June 2013 Eighth Avenue Place, Calgary Question: Which building is has a more ornate architectural design style, the 115-119 8th Avenue Adams Residence building or Eighth Avenue Place, Calgary?Choice list:['The 115-119 8th Avenue Adams Residence building in Calgary has a more ornate architectural design than Calgary's Eighth Avenue Place.', 'R3: Both buildings have equally ornate architectural design styles.', 'Eighth Avenue Place, Calgary has a more ornate architectural design than the 115-119 8th Avenue Adams Residence building.', 'R4: Neither building has a particularly ornate architectural design style.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0316", + "input": { + "image_file": [ + "0316_0.jpg", + "0316_1.jpg" + ], + "prompt": "Based on the images, please answer the following question. You must choose your answer from the Choice List. Image Caption #1: Moses radiant Moses Showing the Ten Commandments, by Gustave Dore Image Caption #2: Jean Duvet, Moses Surrounded by the Patriarchs, c. 1555, NGA 40242 Question: What do the center figures hold in both Jean Duvet's Moses Surrounded by the Patriarchs and Moses Showing the Ten Commandments by Gustave Dor\u00e9?Choice list:['The center figures are both holding scrolls.', 'The center figures are both holding books.', 'The center figures are both holding tablets.', 'The center figures are both holding staffs.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0163", + "input": { + "image_file": [ + "0163_0.jpg", + "0163_1.jpg" + ], + "prompt": "Upon reviewing several images, your task is to extract the necessary information and answer the given question. You must choose your answer from the Choice List. Image Caption #1: Lodz old building LSSE 2010-05 Image Caption #2: AntrimHouse Antrim House, Wellington, New Zealand. New Zealand Historic Places Trust Register number: 208 Question: Do both the Antrim house and the Lodz Old Building have a porch?Choice list:['No, the Antrim house has a porch but the Lodz Old Building does not.', 'No, the Antrim house and the Lodz Old Building do not both have a porch.', 'No, the Lodz Old Building has a porch but the Antrim house does not.', 'Yes, the Antrim house and the Lodz Old Building both have a porch.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0393", + "input": { + "image_file": [ + "0393_0.jpg", + "0393_1.jpg" + ], + "prompt": "Based on the images, please answer the following question. You must choose your answer from the Choice List. Image Caption #1: Agapornis fischeri -Ueno Zoo, Japan -three-8a-4c Three Fischer's Lovebirds at Ueno Zoo, Japan. Image Caption #2: Bay-headed Tanager - San Luis - Costa Rica MG 1171 (26075030873) Question: What color do the Agapornis fischeri and Bay-headed Tanager both have on their face?Choice list:['Neither the Agapornis fischeri nor the Bay-headed Tanager have the color red on their face.', 'Only the Agapornis fischeri has the color red on their face.', 'Both the Agapornis fischeri and Bay-headed Tanager have the color yellow on their face.', 'Both the Agapornis fischeri and Bay-headed Tanager have the color red on their face.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0419", + "input": { + "image_file": [ + "0419_0.jpg", + "0419_1.jpg" + ], + "prompt": "Examine the images carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Image Caption #1: Araschnia levana bgiu Image Caption #2: Atrophaneura alcinous Question: Does the Atrophaneura Alcinous butterfly have the same or a different number of antennae as the Araschnia Levana butterfly?Choice list:['The Atrophaneura Alcinous butterfly does not have any antennae.', 'The Atrophaneura Alcinous butterfly has two antennae.', 'The Atrophaneura Alcinous butterfly has a different number of antennae compared to the Araschnia Levana butterfly.', 'The Atrophaneura Alcinous butterfly has the same number of antennaes as the Araschnia Levana butterfly.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg" + ], + "prompt": "Using the images as your reference, please respond to the following question. You must choose your answer from the Choice List. Image Caption #1: Athens academy Academy of Athens Image Caption #2: Madeleine Paris The Madeleine Church (Eglise de la Madeleine), as seen from the Madeleine plazza, in Paris (France). Question: Are there sculptures inside the pediment of the Madeleine Church and Academy of Athens' facade?Choice list:['There are sculptures outside the pediment of the Madeleine Church and Academy of Athens' facade.', 'Yes, there are sculptures inside the pediment of the Madeleine Church and Academy of Athens' facade.', 'There are only paintings inside the pediment of the Madeleine Church and Academy of Athens' facade.', 'No, there are no sculptures inside the pediment of the Madeleine Church and Academy of Athens' facade.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0365", + "input": { + "image_file": [ + "0365_0.jpg", + "0365_1.jpg" + ], + "prompt": "Having viewed the images, can you use the information presented to answer the following question? You must choose your answer from the Choice List. Image Caption #1: Aquarena springs hotel 2006 The building was a hotel built in 1928 in San Marcos, Texas, United States that was incorporated into the Aquarena Springs amusement park in 1951. Owned by Texas State University since 1994, the former hotel is now part the Meadows Center for Water and the Environment. Image Caption #2: Minneapolis Old Stone Arch Bridge Curve This picture illustrates one of the most striking features of the old Stone Arch Bridge crossing the Mississippi near St. Anthony Falls in Minneapolis, Minnesotathe curve. Taken the afternoon of August 21, 2007 using a Canon 20D. Question: Are the Aquarena Springs Hotel and the Minneapolis Old Stone Arch Bridge Curve both made of stone?Choice list:['The Aquarena Springs Hotel and the Minneapolis Old Stone Arch Bridge Curve are not built with stone.', 'Incorrect:', 'The Aquarena Springs Hotel and the Minneapolis Old Stone Arch Bridge Curve are made of stone.', '- The Aquarena Springs Hotel is made of stone, but the Minneapolis Old Stone Arch Bridge Curve is not.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0326", + "input": { + "image_file": [ + "0326_0.jpg", + "0326_1.jpg" + ], + "prompt": "Using the images as your reference, please respond to the following question. You must choose your answer from the Choice List. Image Caption #1: Eos Image Caption #2: 'Angel of the Dawn' by Abbott Handerson Thayer, 1919 Angel of the Dawn by Abbott Handerson Thayer, 1919, oil on canvas. St. Anselm Abbey School, Washington D.C. Question: Are the colors of the wings of the central figures depicted in the paintings Angel of the Dawn by Abbott Handerson Thayer and Eos by Evelyn de Morgan the same or a different color?Choice list:['The colors of the wings of the central figures depicted in the paintings Angel of the Dawn by Abbott Handerson Thayer and Eos by Evelyn de Morgan are the same color.', 'The colors of the wings of the central figures depicted in the paintings Angel of the Dawn by Abbott Handerson Thayer and Eos by Evelyn de Morgan are different colors.', 'The colors of the wings of the central figures depicted in the paintings Angel of the Dawn by Abbott Handerson Thayer and Eos by Evelyn de Morgan are both pink.', 'The colors of the wings of the central figures depicted in the paintings Angel of the Dawn by Abbott Handerson Thayer and Eos by Evelyn de Morgan are both blue.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0283", + "input": { + "image_file": [ + "0283_0.jpg", + "0283_1.jpg" + ], + "prompt": "Based on the content within these images, could you provide an answer to the ensuing question? You must choose your answer from the Choice List. Image Caption #1: 9-11 Memorial inscription (We Will Never Forget) - Westborough, Massachusetts - DSC04923 9-11 Memorial - Westborough, Massachusetts, USA. Image Caption #2: National september 11 Memorial & museum This is a view of one of the fountains located within the site of the World Trade Center, which was destroyed on September 11, 2001. The two fountains, one for each fallen tower, are titled \"Reflecting Absence\" and were designed by architect Michael Arad and landscape architect Peter Walker Question: Do both the 9-11 Memorial in NYC and in Westborough, MA, have readable engravings?Choice list:['No, neither have readable engravings.', 'Yes, both have readable engravings.', 'No, only one has readable engravings.', 'No, the engravings are not readable.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0052", + "input": { + "image_file": [ + "0052_0.jpg", + "0052_1.jpg" + ], + "prompt": "Examine the images carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Image Caption #1: Diego Vel\u00e1zquez - A White Horse - WGA24416 Image Caption #2: Van Calraet, Abraham - White Horse in a Riding School - Google Art Project Question: is the entire saddle on the white horse the same color in both A White Horse and White Horse in a Riding School?Choice list:['Yes, the entire saddle on the white horse in both A White Horse and White Horse at a Riding School is a different color.', 'Yes, the entire saddle on the white horse in both A White Horse and White Horse at a Riding School is the same color.', 'No, the entire saddle on the white horse in both A White Horse and White Horse at a Riding School is not the same color.', 'No, the entire saddle on the white horse in both A White Horse and White Horse at a Riding School is a different color.']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Latex Code Recognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Latex Code Recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..760f800e8bcc52f4a714984050daa22473f23221 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Latex Code Recognition/annotation.json @@ -0,0 +1,1025 @@ +{ + "task": "latex code recognition", + "data_source": "https://github.com/lukas-blecher/LaTeX-OCR", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Recognition", + "domain": [ + "Code" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "input": { + "image_file": "0000061.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0062" + }, + { + "input": { + "image_file": "0000027.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0028" + }, + { + "input": { + "image_file": "0000237.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0238" + }, + { + "input": { + "image_file": "0000197.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0198" + }, + { + "input": { + "image_file": "0000332.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0333" + }, + { + "input": { + "image_file": "0000329.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0330" + }, + { + "input": { + "image_file": "0000221.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0222" + }, + { + "input": { + "image_file": "0000002.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0003" + }, + { + "input": { + "image_file": "0000015.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0016" + }, + { + "input": { + "image_file": "0000301.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0302" + }, + { + "input": { + "image_file": "0000297.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0298" + }, + { + "input": { + "image_file": "0000302.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0303" + }, + { + "input": { + "image_file": "0000280.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0281" + }, + { + "input": { + "image_file": "0000425.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0426" + }, + { + "input": { + "image_file": "0000319.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0320" + }, + { + "input": { + "image_file": "0000039.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0040" + }, + { + "input": { + "image_file": "0000342.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0343" + }, + { + "input": { + "image_file": "0000062.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0063" + }, + { + "input": { + "image_file": "0000323.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0324" + }, + { + "input": { + "image_file": "0000256.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0257" + }, + { + "input": { + "image_file": "0000490.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0491" + }, + { + "input": { + "image_file": "0000418.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0419" + }, + { + "input": { + "image_file": "0000117.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0118" + }, + { + "input": { + "image_file": "0000019.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0020" + }, + { + "input": { + "image_file": "0000107.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0108" + }, + { + "input": { + "image_file": "0000112.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0113" + }, + { + "input": { + "image_file": "0000311.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0312" + }, + { + "input": { + "image_file": "0000213.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0214" + }, + { + "input": { + "image_file": "0000370.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0371" + }, + { + "input": { + "image_file": "0000021.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0022" + }, + { + "input": { + "image_file": "0000127.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0128" + }, + { + "input": { + "image_file": "0000099.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0100" + }, + { + "input": { + "image_file": "0000240.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0241" + }, + { + "input": { + "image_file": "0000126.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0127" + }, + { + "input": { + "image_file": "0000277.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0278" + }, + { + "input": { + "image_file": "0000070.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0071" + }, + { + "input": { + "image_file": "0000441.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0442" + }, + { + "input": { + "image_file": "0000043.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0044" + }, + { + "input": { + "image_file": "0000182.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0183" + }, + { + "input": { + "image_file": "0000106.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0107" + }, + { + "input": { + "image_file": "0000446.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0447" + }, + { + "input": { + "image_file": "0000008.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0009" + }, + { + "input": { + "image_file": "0000444.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0445" + }, + { + "input": { + "image_file": "0000004.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0005" + }, + { + "input": { + "image_file": "0000310.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0311" + }, + { + "input": { + "image_file": "0000139.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0140" + }, + { + "input": { + "image_file": "0000371.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0372" + }, + { + "input": { + "image_file": "0000108.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0109" + }, + { + "input": { + "image_file": "0000003.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0004" + }, + { + "input": { + "image_file": "0000203.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0204" + }, + { + "input": { + "image_file": "0000454.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0455" + }, + { + "input": { + "image_file": "0000359.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0360" + }, + { + "input": { + "image_file": "0000209.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0210" + }, + { + "input": { + "image_file": "0000175.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0176" + }, + { + "input": { + "image_file": "0000495.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0496" + }, + { + "input": { + "image_file": "0000087.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0088" + }, + { + "input": { + "image_file": "0000215.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0216" + }, + { + "input": { + "image_file": "0000308.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0309" + }, + { + "input": { + "image_file": "0000349.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0350" + }, + { + "input": { + "image_file": "0000355.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0356" + }, + { + "input": { + "image_file": "0000278.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0279" + }, + { + "input": { + "image_file": "0000053.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0054" + }, + { + "input": { + "image_file": "0000157.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0158" + }, + { + "input": { + "image_file": "0000242.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0243" + }, + { + "input": { + "image_file": "0000014.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0015" + }, + { + "input": { + "image_file": "0000241.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0242" + }, + { + "input": { + "image_file": "0000433.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0434" + }, + { + "input": { + "image_file": "0000412.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": "lcr0413" + }, + { + "input": { + "image_file": "0000083.png", + "prompt": "Recognize the latex code" + }, + "output": { + "text": "" + }, + "id": 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b/Scope-A/S-A-Quick/image/comprehension/LeatherAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "leather anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "23", + "input": { + "image_file": "23.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "11", + "input": { + "image_file": "11.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "19", + "input": { + "image_file": "19.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "6", + "input": { + "image_file": "6.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "35", + "input": { + "image_file": "35.png", + "prompt": "Detect the anomaly region of the leather" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/LungSegmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/LungSegmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..89cf520115f8b4a232bd26c791cf432df7dbbad6 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/LungSegmentation/annotation.json @@ -0,0 +1,322 @@ +{ + "task": "Lung Segmentation", + "data_source": "https://www.kaggle.com/datasets/newra008/lung-mask-image-dataset", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "map" + ] + }, + "skill": "Medical Segmentation", + "domain": "Medicine", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": {}, + "data": [ + { + "input": { + "image_file": "ls_0137.png", + 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{ + "map_file": "Unavailable" + }, + "id": "ls_0223" + }, + { + "input": { + "image_file": "ls_0338.png", + "prompt": "Segment the lungs in the provided the image." + }, + "output": { + "map_file": "Unavailable" + }, + "id": "ls_0338" + }, + { + "input": { + "image_file": "ls_0271.png", + "prompt": "Segment the lungs in the provided the image." + }, + "output": { + "map_file": "Unavailable" + }, + "id": "ls_0271" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/MetalNutAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/MetalNutAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4d3b8b0cd6ed2fd3c737ced93ff3665326fa9716 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/MetalNutAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "metal nut anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "29", + "input": { + "image_file": "29.png", + "prompt": "Detect the anomaly region of the metal nut" + } + }, + { + "id": "5", + "input": { + "image_file": "5.png", + "prompt": "Detect the anomaly region of the metal nut" + } + }, + { + "id": "15", + "input": { + "image_file": "15.png", + "prompt": "Detect the anomaly region of the metal nut" + } + }, + { + "id": "19", + "input": { + "image_file": "19.png", + "prompt": "Detect the anomaly region of the metal nut" + } + }, + { + "id": "18", + "input": { + "image_file": "18.png", + "prompt": "Detect the anomaly region of the metal nut" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Multi-ImageVisualEntailmentReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Multi-ImageVisualEntailmentReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e5f9e1466fa8a278c9c58a57f00bead1eca6b75e --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Multi-ImageVisualEntailmentReasoning/annotation.json @@ -0,0 +1,241 @@ +{ + "set_type": "closeset", + "task": "Multi-Image Visual Entailment Reasoning", + "data_source": "nlvr2", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0437", + "input": { + "image_file": [ + "0437_0.jpg", + "0437_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: There are two separate but raised square sinks sitting on top of a wooden cabinet facing front left.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0365", + "input": { + "image_file": [ + "0365_0.jpg", + "0365_1.jpg" + ], + "prompt": "Upon receiving two images and a statement that illustrates their relation, your job is to decide whether the sentence correctly characterizes the relationship. You must choose your answer from the Choice List. Relation: The left and right image contains the same number of cell phones being cleaned.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0171", + "input": { + "image_file": [ + "0171_0.jpg", + "0171_1.jpg" + ], + "prompt": "With two images and a sentence expressing their linkage at hand, your job is to decide whether the sentence correctly interprets the relationship between the images. You must choose your answer from the Choice List. Relation: In at least one image, there is a single purple round corral underneath green corral arms that fish are swimming through.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0096", + "input": { + "image_file": [ + "0096_0.jpg", + "0096_1.jpg" + ], + "prompt": "With two images and a sentence describing their interrelation at your disposal, your job is to assess whether the sentence correctly represents the connection between the images. You must choose your answer from the Choice List. Relation: An image shows a kitchen with white cabinets and a stainless steel refrigerator with \"\"\"\"french doors\"\"\"\".Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0406", + "input": { + "image_file": [ + "0406_0.jpg", + "0406_1.jpg" + ], + "prompt": "Provided with two images and a sentence describing their relationship, your role is to determine if the sentence accurately conveys the relation. You must choose your answer from the Choice List. Relation: The left image shows exactly one parrot, and it is perched on a wooden limb.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg" + ], + "prompt": "Presented with two images and a sentence that depicts their relation, your task is to determine if the sentence accurately describes the relationship. You must choose your answer from the Choice List. Relation: One of the images features a dog that is wearing a collar.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0177", + "input": { + "image_file": [ + "0177_0.jpg", + "0177_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: A dog is on its back.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0418", + "input": { + "image_file": [ + "0418_0.jpg", + "0418_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: Words are written across the side of a school bus in the image on the right.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0249", + "input": { + "image_file": [ + "0249_0.jpg", + "0249_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: A total of three red-orange dogs, all wearing collars, are shown - and the right image contains two side-by-side dogs gazing in the same direction.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0231", + "input": { + "image_file": [ + "0231_0.jpg", + "0231_1.jpg" + ], + "prompt": "With two images and a sentence describing their interrelation at your disposal, your job is to assess whether the sentence correctly represents the connection between the images. You must choose your answer from the Choice List. Relation: A pump bottle of lotion is in one image with two other labeled products, while the second image shows an open jar of body cream among other items.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0422", + "input": { + "image_file": [ + "0422_0.jpg", + "0422_1.jpg" + ], + "prompt": "Given two images and a sentence outlining their relation, your responsibility is to judge whether the sentence correctly describes the connection between them. You must choose your answer from the Choice List. Relation: There is a man playing two nose flutes in each imageChoice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0241", + "input": { + "image_file": [ + "0241_0.jpg", + "0241_1.jpg" + ], + "prompt": "Presented with two images and a sentence that specifies their connection, your duty is to assess if the sentence accurately describes the relation. You must choose your answer from the Choice List. Relation: There are exactly two live dogs.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0230", + "input": { + "image_file": [ + "0230_0.jpg", + "0230_1.jpg" + ], + "prompt": "Presented with two images and a sentence that specifies their connection, your duty is to assess if the sentence accurately describes the relation. You must choose your answer from the Choice List. Relation: There are people sitting.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0319", + "input": { + "image_file": [ + "0319_0.jpg", + "0319_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: The left image contains two versions of the same lamp style side-by-side, and the right image contains one decorative object featuring blue flowers on pale porcelain.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0348", + "input": { + "image_file": [ + "0348_0.jpg", + "0348_1.jpg" + ], + "prompt": "Given two images and a sentence outlining their relation, your responsibility is to judge whether the sentence correctly describes the connection between them. You must choose your answer from the Choice List. Relation: Both yurts have decks and one of them has an open door.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0130", + "input": { + "image_file": [ + "0130_0.jpg", + "0130_1.jpg" + ], + "prompt": "Given two images and a sentence explaining their association, your task is to judge if the sentence correctly communicates the relationship between them. You must choose your answer from the Choice List. Relation: A woman with dark hair and wearing a black jacket is in a bookstore in one image.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0022", + "input": { + "image_file": [ + "0022_0.jpg", + "0022_1.jpg" + ], + "prompt": "Presented with two images and a sentence that depicts their relation, your task is to determine if the sentence accurately describes the relationship. You must choose your answer from the Choice List. Relation: In one image, a white floral cup with a matching saucer is used as a vase for flowers that match those painted on the side of the cup.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0302", + "input": { + "image_file": [ + "0302_0.jpg", + "0302_1.jpg" + ], + "prompt": "With two images and a sentence expressing their linkage at hand, your job is to decide whether the sentence correctly interprets the relationship between the images. You must choose your answer from the Choice List. Relation: An image shows a printed bedspread with no throw pillows on top or people under it.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg" + ], + "prompt": "Presented with two images and a sentence that specifies their connection, your duty is to assess if the sentence accurately describes the relation. You must choose your answer from the Choice List. Relation: One image shows a safety pin bracelet displayed on a flat surface, and the other image shows a safety pin strung with colored beads that form an animal image.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0481", + "input": { + "image_file": [ + "0481_0.jpg", + "0481_1.jpg" + ], + "prompt": "With two images and a sentence expressing their linkage at hand, your job is to decide whether the sentence correctly interprets the relationship between the images. You must choose your answer from the Choice List. Relation: Three open laptops with imagery on the screens are displayed horizontally in one picture.Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Multi-TurnInteractiveDialogue/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Multi-TurnInteractiveDialogue/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..846f8e074d109b48b1434eacd0db22630ef2ab38 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Multi-TurnInteractiveDialogue/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Multi-Turn Interactive Dialogue", + "data_source": "MMCoQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0472", + "input": { + "image_file": [ + "0472_0.jpg", + "0472_1.jpg", + "0472_2.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: History Context 1: Text: Boyce returned to the United States and with Edward S. Stewart and Stanley D. Willis he incorporated the Boy Scouts of America on February 8, 1910 and applied for a congressional charter. The bill was tied up with a charter for the Rockefeller Foundation and Boyce withdrew it after many delays. Around this time, William Randolph Hearst, a rival newspaperman, formed the American Boy Scouts (ABS), a group that lasted through 1918. Between business and travel, Boyce did not spend much time on the new organization. Edgar M. Robinson, a senior administrator of the YMCA in New York City, learned of the new Boy Scout program and traveled to Chicago where he agreed to help Boyce organize the Boy Scouts as a national organization. Boyce pledged $1000 a month for a year to support the program\u2013 but reports indicate only three or four payments were actually made. Robinson returned to New York to begin the search for members. After a series of meetings in early 1910, the Woodcraft Indians led by Ernest Thompson Seton, the Boy Scouts of the United States headed by Colonel Peter Bomus and the National Scouts of America headed by Colonel William Verbeck were absorbed into the BSA. The National Highway Patrol Association Scouts headed by Colonel E. S. Cornell and the Boy Pioneers (formerly known as the Sons of Daniel Boone) headed by Daniel Carter Beard were folded. The BSA National Office opened in the 28th Street YMCA in New York City on June 1, 1910. The first managing secretary (the precursor to the Chief Scout Executive) was John Alexander, a YMCA administrator from Philadelphia, Pennsylvania. By autumn BSA had 2,500 leader applications from 44 states and 150,900 youth inquiries. Question: In which city was the Boy Scouts founded? Answer: New York City. History Context 2: Table: Question: It was the host to the Silent Shout Tour on what date? Answer: November 1, 2006. History Context 3: Text: Boyce returned to the United States and with Edward S. Stewart and Stanley D. Willis he incorporated the Boy Scouts of America on February 8, 1910 and applied for a congressional charter. The bill was tied up with a charter for the Rockefeller Foundation and Boyce withdrew it after many delays. Around this time, William Randolph Hearst, a rival newspaperman, formed the American Boy Scouts (ABS), a group that lasted through 1918. Between business and travel, Boyce did not spend much time on the new organization. Edgar M. Robinson, a senior administrator of the YMCA in New York City, learned of the new Boy Scout program and traveled to Chicago where he agreed to help Boyce organize the Boy Scouts as a national organization. Boyce pledged $1000 a month for a year to support the program\u2013 but reports indicate only three or four payments were actually made. Robinson returned to New York to begin the search for members. After a series of meetings in early 1910, the Woodcraft Indians led by Ernest Thompson Seton, the Boy Scouts of the United States headed by Colonel Peter Bomus and the National Scouts of America headed by Colonel William Verbeck were absorbed into the BSA. The National Highway Patrol Association Scouts headed by Colonel E. S. Cornell and the Boy Pioneers (formerly known as the Sons of Daniel Boone) headed by Daniel Carter Beard were folded. The BSA National Office opened in the 28th Street YMCA in New York City on June 1, 1910. The first managing secretary (the precursor to the Chief Scout Executive) was John Alexander, a YMCA administrator from Philadelphia, Pennsylvania. By autumn BSA had 2,500 leader applications from 44 states and 150,900 youth inquiries. Question: in which city was the Boy Scouts of America founded? Answer: New York City. History Context 4: Table: Question: When did the Welcome to Paradise Tour perform in this city? Answer: February 4, 2012. Current Context: Text: Boyce returned to the United States and with Edward S. Stewart and Stanley D. Willis he incorporated the Boy Scouts of America on February 8, 1910 and applied for a congressional charter. The bill was tied up with a charter for the Rockefeller Foundation and Boyce withdrew it after many delays. Around this time, William Randolph Hearst, a rival newspaperman, formed the American Boy Scouts (ABS), a group that lasted through 1918. Between business and travel, Boyce did not spend much time on the new organization. Edgar M. Robinson, a senior administrator of the YMCA in New York City, learned of the new Boy Scout program and traveled to Chicago where he agreed to help Boyce organize the Boy Scouts as a national organization. Boyce pledged $1000 a month for a year to support the program\u2013 but reports indicate only three or four payments were actually made. Robinson returned to New York to begin the search for members. After a series of meetings in early 1910, the Woodcraft Indians led by Ernest Thompson Seton, the Boy Scouts of the United States headed by Colonel Peter Bomus and the National Scouts of America headed by Colonel William Verbeck were absorbed into the BSA. The National Highway Patrol Association Scouts headed by Colonel E. S. Cornell and the Boy Pioneers (formerly known as the Sons of Daniel Boone) headed by Daniel Carter Beard were folded. The BSA National Office opened in the 28th Street YMCA in New York City on June 1, 1910. The first managing secretary (the precursor to the Chief Scout Executive) was John Alexander, a YMCA administrator from Philadelphia, Pennsylvania. By autumn BSA had 2,500 leader applications from 44 states and 150,900 youth inquiries. Question: In which city did the Boy Scouts of America begin? Answer:" + }, + "output": {} + }, + { + "id": "0120", + "input": { + "image_file": [ + "0120_0.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: History Context 1: Text: The Bolshoi Theatre (Russian: \u0411\u043e\u043b\u044c\u0448\u043e\u0301\u0439 \u0442\u0435\u0430\u0301\u0442\u0440, tr. Bol'shoy Teatr, Big Theatre, IPA:\u00a0[b\u0250l\u02b2\u02c8\u0282oj t\u02b2\u026a\u02c8at\u0259r]) is a historic theatre in Moscow, Russia, designed by architect Joseph Bov\u00e9, which holds ballet and opera performances. Before the October Revolution it was a part of the Imperial Theatres of the Russian Empire along with Maly Theatre (Small Theatre) in Moscow and a few theatres in Saint Petersburg (Hermitage Theatre, Bolshoi (Kamenny) Theatre, later Mariinsky Theatre and others). Text: Boris Yevseyevich Gusman (1892\u20131944) was a Soviet author, screenplay writer, theater director, and columnist for Pravda. As deputy director for the Bolshoi Theatre and later director of the Soviet Radio Committee Arts Division, Gusman played an important role in promoting Sergei Prokofiev's music in the USSR and internationally. Gusman was arrested during the Great Purges of the late 1930s, and died in a labor camp in 1944. Question: What historic theatre in Moscow, Russia, designed by architect Joseph Bov\u00e9, who's deputy director was a Soviet author, screenplay writer, theater director, and columnist for \"Pravda\"? Answer: Bolshoi Theatre. Current Context: Text: Alberto Cavos (Russified to Albert Katerinovich Kavos, Russian: A\u043b\u044c\u0431\u0435\u0440\u0442 \u041a\u0430\u0442e\u0440\u0438\u043d\u043e\u0432\u0438\u0447 \u041a\u0430\u0432\u043e\u0441, December 22, 1800 \u2013 May 22, 1863) was a Russian\u2013Italian architect best known for his theatre designs, the builder of the Mariinsky Theatre in Saint Petersburg (1859\u20131860) and the Bolshoi Theatre in Moscow (1853\u20131856). Text: The Bolshoi Theatre (Russian: \u0411\u043e\u043b\u044c\u0448\u043e\u0301\u0439 \u0442\u0435\u0430\u0301\u0442\u0440, tr. Bol'shoy Teatr, Big Theatre, IPA:\u00a0[b\u0250l\u02b2\u02c8\u0282oj t\u02b2\u026a\u02c8at\u0259r]) is a historic theatre in Moscow, Russia, designed by architect Joseph Bov\u00e9, which holds ballet and opera performances. Before the October Revolution it was a part of the Imperial Theatres of the Russian Empire along with Maly Theatre (Small Theatre) in Moscow and a few theatres in Saint Petersburg (Hermitage Theatre, Bolshoi (Kamenny) Theatre, later Mariinsky Theatre and others). Question: Alberto Cavos, (December 22, 1800 \u2013 May 22, 1863), was a Russian\u2013Italian architect best known for his theatre designs, the builder of which historic theatre in Moscow, Russia, designed by architect Joseph Bov\u00e9, which holds ballet and opera performances? Answer:" + }, + "output": {} + }, + { + "id": "0352", + "input": { + "image_file": [ + "0352_0.jpg", + "0352_1.jpg", + "0352_2.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Question: How many stripes are visible on the yellow pants in this photo of the 2010 NFL season? Answer: three. Current Context: Question: What color do both teams have in common in that season? Answer:" + }, + "output": {} + }, + { + "id": "0360", + "input": { + "image_file": [ + "0360_0.jpg", + "0360_1.jpg", + "0360_2.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: History Context 1: Question: How many different pictures of Cardiff are there here? Answer: seven. Current Context: Question: Which city has grey columns around a statue that serves as a memorial? Answer:" + }, + "output": {} + }, + { + "id": "0484", + "input": { + "image_file": [ + "0484_0.jpg", + "0484_1.jpg", + "0484_2.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: History Context 1: Text: St. Louis Blues is a 1958 American film broadly based on the life of W. C. Handy. It starred jazz and blues greats Nat \"King\" Cole, Pearl Bailey, Cab Calloway, Ella Fitzgerald, Eartha Kitt, and Barney Bigard, as well as gospel singer Mahalia Jackson and actress Ruby Dee. The film's soundtrack used over ten of Handy's songs including the title song. Question: What film did the actress that played \"Ruth Younger\" in \"A Raisin in the Sun\" star in with Cab Calloway and Ella Fitzgerald? Answer: St. Louis Blues. History Context 2: Question: What is the main color of the St. Louis Blues logo? Answer: blue. Current Context: Question: Which team has a logo shaped like a quarter note with wings and is listed in the leading goaltenders in the 2008-09 National Hockey League season? Answer:" + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: Current Context: Text: Chicken Little is a 1943 short film created by Walt Disney during World War II. The short was closely based on the fable Henny Penny. In 2005, a full-feature animated movie of the same name was released. Question: What fable are both Chicken little films based on Answer:" + }, + "output": {} + }, + { + "id": "0437", + "input": { + "image_file": [ + "0437_0.jpg", + "0437_1.jpg", + "0437_2.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: History Context 1: Text: BB-8 (or Beebee-Ate) is a droid character in the Star Wars franchise, appearing in both the 2015 Star Wars: The Force Awakens and 2017 Star Wars: The Last Jedi films. Spherical with a free-moving domed head, BB-8 is portrayed by both a rod puppet and a remote-controlled robotic unit. Question: The astromech named BB-8 was a character in what movie Answer: Star Wars: The Force Awakens. Star Wars: The Last Jedi. History Context 2: Table: Question: what's the 2017 movie that Daisy Ridley appeared in? Answer: Murder on the Orient Express. Star Wars: The Last Jedi. Current Context: Question: The astromech named BB-8 was a character in what 2017 movie that she appeared in? Answer:" + }, + "output": {} + }, + { + "id": "0069", + "input": { + "image_file": [ + "0069_0.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: Current Context: Text: \"Keep the Fire Burnin'\" is a song by American musician-singer-songwriter Dan Hartman starring Loleatta Holloway, released as the lead single in 1994 from his posthumous album Keep The Fire Burnin'. The album largely featured remixes of Hartman's previous hits. Question: American singer and Billboard Magazine's 95th most succcesful dance artist of all-time also starred on a single released in 1994 written by what American musician-singer-songwriter? Answer:" + }, + "output": {} + }, + { + "id": "0121", + "input": { + "image_file": [ + "0121_0.jpg" + ], + "prompt": "Using a corpus of relevant information including visuals, text, tabular data, and a history of Q&A, your assignment is to answer the subsequent query accurately.Global Table: Current Context: Text: Walt Disney Pictures, Inc. is an American film production company and a subsidiary of Walt Disney Studios, owned by The Walt Disney Company. The division is based at the Walt Disney Studios in Burbank, California, and is the main producer of live-action feature films within the Walt Disney Studios unit. It took on its current name in 1983. Today, in conjunction with the other units of Walt Disney Studios, Walt Disney Pictures is classified as one of Hollywood's \"Big Six\" film studios. Films produced by Walt Disney Animation Studios and Pixar Animation Studios are also released under this brand. Question: Cars 3 is a 2017 animated comedy adventure film released by an American film production company that took on its current name in what year? Answer:" + }, + "output": {} + }, + { + "id": "0235", + "input": { + "image_file": [ + "0235_0.jpg" + ], + "prompt": "With the provided comprehensive data, which consists of images, text, tables, and prior Q&A records, your task is to provide an accurate answer to the next question.Global Table: Current Context: Text: Koho is a brand of ice hockey equipment that originated from Finland. Currently, Koho equipment is manufactured by The Hockey Company (parent company of CCM, now owned by Adidas). Koho is especially known for its goaltending equipment. The main endorsees, instrumental to marketing the brand throughout the 1990s and early 2000s, included Arturs Irbe, Patrick Roy, F\u00e9lix Potvin, Jocelyn Thibault, Tommy Salo, Mathieu Garon, Jean-S\u00e9bastien Gigu\u00e8re and Roberto Luongo. Although Koho had the support of high-profile endorsees such as Jarom\u00edr J\u00e1gr, the player equipment lines were comparatively unsuccessful. The brand name is currently owned by MonkeySports, which operates GoalieMonkey.com and Hockeymonkey.com. They are the exclusive retailer of the brand. Question: What company owns brand of goal tending equipment endorsed by former head coach of the Colorado Avalanche? Answer:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Multi-imageNext-frameDescription/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Multi-imageNext-frameDescription/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8e140b5fc1b38a15605da185cf661e2a5de76352 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Multi-imageNext-frameDescription/annotation.json @@ -0,0 +1,161 @@ +{ + "set_type": "closeset", + "task": "Multi-image Next-frame Description", + "data_source": "Flintstones", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Visual Storytelling Generation", + "domain": "General", + "general_capability": [ + "Commense Understanding" + ], + "version": "1.0", + "data": [ + { + "id": "0237", + "input": { + "image_file": [ + "0237_0.jpg", + "0237_1.jpg", + "0237_2.jpg", + "0237_3.jpg", + "0237_4.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:Fred is sitting in the chair in the living room with a pen and paper.Caption#2:Fred is sitting in the living room. He is writing something down on a white tablet.Caption#3:Fred is reading a piece of paper in the living room.Caption#4:Fred is sitting in his chair in the living room, doing a cross ward puzzle .Caption#5:" + }, + "output": {} + }, + { + "id": "0352", + "input": { + "image_file": [ + "0352_0.jpg", + "0352_1.jpg", + "0352_2.jpg", + "0352_3.jpg", + "0352_4.jpg" + ], + "prompt": "Based on the narratives associated with the initial images, use the final picture to bring the story to a close.Caption#1:Fred is wearing a costume and leaning against a rock wall outside. A men wearing specs in violet color shirt is speaking to him.Caption#2:Man with orange hair and white outfit standing in the road in the middle of a stampede and falling stones.Caption#3:An old man is sitting outside discussing something with the man dress color vendorCaption#4:Fred speaks to a short man outside.Caption#5:" + }, + "output": {} + }, + { + "id": "0006", + "input": { + "image_file": [ + "0006_0.jpg", + "0006_1.jpg", + "0006_2.jpg", + "0006_3.jpg", + "0006_4.jpg" + ], + "prompt": "Based on the stories accompanying the first images, can you devise a conclusion for the story that incorporates the last image?Caption#1:Fred and Barney are outside in front of a building. Barney speaks to Fred while he looks up towards the sky.Caption#2:Fred and Barney are outside. A moon is in the sky. They are talking to each other as they look up. Barney is standing behind Fred.Caption#3:Outside Fred turns to Barney and tells him something.Caption#4:Fred is standing outside. He is dressed up like a superhero while holding a rope in front of him. He then proceeds to looks back and speaks to someone behind him.Caption#5:" + }, + "output": {} + }, + { + "id": "0318", + "input": { + "image_file": [ + "0318_0.jpg", + "0318_1.jpg", + "0318_2.jpg", + "0318_3.jpg", + "0318_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:Fred is sleeping in a chair in the living room. Someone puts a blue feather under his nose.Caption#2:Fred is asleep in the living room. A blue feather is placed under his nose and he blows it away with his breath.Caption#3:Fred is sleeping on a chair in the living room. A feather flies into his mouth, then he wakes up.Caption#4:Fred sits on a chair in the living room. He blows a feather out of his mouth.Caption#5:" + }, + "output": {} + }, + { + "id": "0362", + "input": { + "image_file": [ + "0362_0.jpg", + "0362_1.jpg", + "0362_2.jpg", + "0362_3.jpg", + "0362_4.jpg" + ], + "prompt": "Given the progression of the story with the first few images, can you write a fitting end considering the last image?Caption#1:Fred is standing in a doorway. He has an angry look on his face. He has his right hand on his hip while his left hand is on his chin and he is talking the whole time while looking up.Caption#2:Fred is in a living room talking with his right hand held out. He looks to his left , then right. There is a blue rug on the floor and other furniture in the room.Caption#3:Fred is in the living room. Fred lifts his hands and speaks.Caption#4:Fred is angrily yelling at someone outside of the living room.Caption#5:" + }, + "output": {} + }, + { + "id": "0342", + "input": { + "image_file": [ + "0342_0.jpg", + "0342_1.jpg", + "0342_2.jpg", + "0342_3.jpg", + "0342_4.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:Fred is walking across a room, talking to himself.Caption#2:Wilma places a steak in front of Fred with a fork in the middle of it while Fred holds a knife and fork and sits at the table in the dining room.Caption#3:Fred is in the kitchen. He is sitting at a table with a boy with meat.Caption#4:Fred and the men blue dress with cap are in the dining room. Fred is choking the men blue dress with cap while they sit at the table. Caption#5:" + }, + "output": {} + }, + { + "id": "0411", + "input": { + "image_file": [ + "0411_0.jpg", + "0411_1.jpg", + "0411_2.jpg", + "0411_3.jpg", + "0411_4.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:Fred is talking in a room with his arms crossed. His head bobs up and down while he is talking.Caption#2:Fred and Wilma are at the table in the kitchen. They are having a discussion and Fred looks annoyed.Caption#3:Fred and Wilma are sitting at a table in the dining room. Wilma is drinking coffee.Caption#4:Barney is waiting for his food at the table in the dining room.Caption#5:" + }, + "output": {} + }, + { + "id": "0461", + "input": { + "image_file": [ + "0461_0.jpg", + "0461_1.jpg", + "0461_2.jpg", + "0461_3.jpg", + "0461_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:The man wearing purple shirt holding arms up is in the stadium. He is standing in the middle next to water while people in the stands watch him. Caption#2:A man standing on rock is in a stadium talking to a crowd of people. Caption#3:The brown seal is outside. He is flying in the air. Caption#4:A brown seal in pink jeweled collar is floating in the sky while he holds a rolled up paper and blows through a blow horn.Caption#5:" + }, + "output": {} + }, + { + "id": "0449", + "input": { + "image_file": [ + "0449_0.jpg", + "0449_1.jpg", + "0449_2.jpg", + "0449_3.jpg", + "0449_4.jpg" + ], + "prompt": "Taking the stories from the initial images into account, can you conclude the story using the elements of the final image?Caption#1:The tv host in a blue suit is in the tv studio. He is standing between the camera and a light. He is pointing and talking. He is holding a piece of paper.Caption#2:The boy was talking in a tv studio with cameras on him.Caption#3:Barney is in a green room. He is laughing.Caption#4:Inside a room, Fred is listening to a dopey guy holding money bag talk.Caption#5:" + }, + "output": {} + }, + { + "id": "0367", + "input": { + "image_file": [ + "0367_0.jpg", + "0367_1.jpg", + "0367_2.jpg", + "0367_3.jpg", + "0367_4.jpg" + ], + "prompt": "Based on the narratives associated with the initial images, use the final picture to bring the story to a close.Caption#1:Fred is in the park.Fred is jumping on a sea saw then gets catapulted by rock .Caption#2:Fred and Barney are outside. Fred has a lump on his head and looks angry, while Barney talks and then laughs.Caption#3:Barney and Fred are outside. Barney laughs then Fred gets mad.Caption#4:Barney is talking in the room.Caption#5:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/MultimodalDecision-makingReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/MultimodalDecision-makingReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..44df53a25b065e1048618bf4754c0edbd3f71d93 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/MultimodalDecision-makingReasoning/annotation.json @@ -0,0 +1,414 @@ +{ + "set_type": "closeset", + "task": "Multimodal Decision-making Reasoning", + "data_source": "alfred", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Dialogue", + "domain": "General", + "general_capability": [ + "Interactive Capability" + ], + "version": "1.0", + "data": [ + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg", + "0452_2.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Examine a bowl by the light of a desk lamp. Step Details: Step#1: Turn left and walk forward to the bowl on the desk near the monitor. Step#2: Pick up the bowl from the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0316", + "input": { + "image_file": [ + "0316_0.jpg", + "0316_1.jpg", + "0316_2.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Turn on the lamp next to the sofa while holding a laptop computer. Step Details: Step#1: Walk to the laptop computer on the tall brown dresser. Step#2: Close the laptop and pick it up. Current Step: " + }, + "output": {} + }, + { + "id": "0225", + "input": { + "image_file": [ + "0225_0.jpg", + "0225_1.jpg", + "0225_2.jpg", + "0225_3.jpg", + "0225_4.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Put two remote controls on a chair. Step Details: Step#1: Turn left, go forward, turn left to face the coffee table, go to the coffee table. Step#2: Take the remote control on the left from coffee table. Step#3: Turn left, go forward, turn right, go forward, turn left to the second chair. Step#4: Put the remote control on the chair. Current Step: " + }, + "output": {} + }, + { + "id": "0120", + "input": { + "image_file": [ + "0120_0.jpg", + "0120_1.jpg", + "0120_2.jpg", + "0120_3.jpg", + "0120_4.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Put a clean egg in the microwave. Step Details: Step#1: Turn right and move forward, then turn right and go to the fridge, then turn right and move forward, then turn left to face the dishwasher. Step#2: Pick up the egg from the counter in front of you. Step#3: Turn around and go to the sink. Step#4: Clean the egg in the sink. Current Step: " + }, + "output": {} + }, + { + "id": "0411", + "input": { + "image_file": [ + "0411_0.jpg", + "0411_1.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Move the salt shaker from the counter to the middle drawer. Step Details: Step#1: Turn left and cross the room, turn left again at the windows and stop at the counter to your left. Current Step: " + }, + "output": {} + }, + { + "id": "0221", + "input": { + "image_file": [ + "0221_0.jpg", + "0221_1.jpg", + "0221_2.jpg", + "0221_3.jpg", + "0221_4.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Put a cooked tomato on the counter. Step Details: Step#1: Turn around, then turn left, then turn right to face the counter to the left of the sink. Step#2: Pick up the tomato from the counter. Step#3: Turn right, go straight, then turn right again to go to the microwave. Step#4: Cook the tomato inside of the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0065", + "input": { + "image_file": [ + "0065_0.jpg", + "0065_1.jpg", + "0065_2.jpg", + "0065_3.jpg", + "0065_4.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put chilled lettuce on the counter. Step Details: Step#1: Move forward, turn right, go to the fridge, turn right, go to face the lettuce on the counter, past the sink on the right. Step#2: Pick up the lettuce on the counter. Step#3: Turn right, bring the lettuce to the fridge on the right. Step#4: Chill the lettuce in the fridge. Current Step: " + }, + "output": {} + }, + { + "id": "0323", + "input": { + "image_file": [ + "0323_0.jpg", + "0323_1.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Put two pillows on a couch. Step Details: Step#1: Move to the arm chair to the left of the couch Current Step: " + }, + "output": {} + }, + { + "id": "0326", + "input": { + "image_file": [ + "0326_0.jpg", + "0326_1.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Turn on the lamp while holding the teapot. Step Details: Step#1: Turn around and move to the wall, turn left and move forward to the edge of the TV, turn right. Current Step: " + }, + "output": {} + }, + { + "id": "0102", + "input": { + "image_file": [ + "0102_0.jpg", + "0102_1.jpg", + "0102_2.jpg", + "0102_3.jpg", + "0102_4.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: Put two soaps on the flusher Step Details: Step#1: Turn right, go forward, turn left, go to the sink Step#2: Pick up the soap in the sink Step#3: Turn around, go forward, turn right and go to the toilet Step#4: Put the soap on the flusher Current Step: " + }, + "output": {} + }, + { + "id": "0327", + "input": { + "image_file": [ + "0327_0.jpg", + "0327_1.jpg", + "0327_2.jpg", + "0327_3.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Take the alarm clock off the shelf, turn on the lamp Step Details: Step#1: Head left to the desk Step#2: Take the alarm clock from the shelf Step#3: Head to the left Current Step: " + }, + "output": {} + }, + { + "id": "0392", + "input": { + "image_file": [ + "0392_0.jpg", + "0392_1.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: Turning on a lamp while holding a canteen Step Details: Step#1: Turn around and face the desk Current Step: " + }, + "output": {} + }, + { + "id": "0031", + "input": { + "image_file": [ + "0031_0.jpg", + "0031_1.jpg", + "0031_2.jpg", + "0031_3.jpg", + "0031_4.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Wash a plate and place on counter. Step Details: Step#1: Turn around completely and walk forward. Turn to the right and go around the corner and turn right again to face the counter. Step#2: Pick up the plate from the counter. Step#3: Step to the left and then turn to the right to face the sink, Step#4: Place the plate in the sink and turn on the water and wash the plate. Turn off the water and take out the plate. Current Step: " + }, + "output": {} + }, + { + "id": "0089", + "input": { + "image_file": [ + "0089_0.jpg", + "0089_1.jpg", + "0089_2.jpg", + "0089_3.jpg", + "0089_4.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Move two clocks from the desk to the end table. Step Details: Step#1: Move to the desk at the foot of the bed Step#2: Pick up a clock from the desk Step#3: Move to the end table to the right of the bed Step#4: Place the clock on the end table Current Step: " + }, + "output": {} + }, + { + "id": "0021", + "input": { + "image_file": [ + "0021_0.jpg", + "0021_1.jpg", + "0021_2.jpg", + "0021_3.jpg", + "0021_4.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Cool a tomato and put it in the microwave Step Details: Step#1: Turn left, go forward, turn left and go to the counter Step#2: Pick up the tomato on the counter Step#3: Turn right, go forward a bit, turn right and go to the fridge Step#4: Put the tomato in the fridge, wait, pick up the tomato Current Step: " + }, + "output": {} + }, + { + "id": "0363", + "input": { + "image_file": [ + "0363_0.jpg", + "0363_1.jpg", + "0363_2.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Move a cup from the top shelf to the edge of the desk. Step Details: Step#1: Walk around the bed to the front of the computer desk on your left. Step#2: Pick up the coffee cup from the top shelf of the desk. Current Step: " + }, + "output": {} + }, + { + "id": "0460", + "input": { + "image_file": [ + "0460_0.jpg", + "0460_1.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Place a cleaned knife on a counter top. Step Details: Step#1: Walk forward to the sink, then turn left and walk to the knife on the counter. Current Step: " + }, + "output": {} + }, + { + "id": "0063", + "input": { + "image_file": [ + "0063_0.jpg", + "0063_1.jpg", + "0063_2.jpg", + "0063_3.jpg", + "0063_4.jpg" + ], + "prompt": "Give you a main goal, your job is to figure out what to do now by looking at current envirments. Your past views as well as decisions are also provided.Your Main Goal: To heat a potato slice and place it in the fridge. Step Details: Step#1: Walk around the center table to the left and turn right to face the knife on the table. Step#2: Pick up the knife on the table. Step#3: Turn left and walk forward and turn around to the right to face the trash can. Step#4: Cut the potato in the trash can into slices. Current Step: " + }, + "output": {} + }, + { + "id": "0091", + "input": { + "image_file": [ + "0091_0.jpg", + "0091_1.jpg", + "0091_2.jpg", + "0091_3.jpg", + "0091_4.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: place a cup with a fork in it on top of the kitchen counter Step Details: Step#1: turn around and walk to the fridge at the end of the right side of the room, then turn around and walk to the kitchen counter on your left Step#2: grab a fork off of the kitchen counter there Step#3: turn around and walk over to the fridge on the left Step#4: place the fork inside of the fridge inside a green cup Current Step: " + }, + "output": {} + }, + { + "id": "0208", + "input": { + "image_file": [ + "0208_0.jpg", + "0208_1.jpg", + "0208_2.jpg", + "0208_3.jpg", + "0208_4.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Place a pan with a fork in it in the sink. Step Details: Step#1: Turn around and veer right and walk to the counter to the left of the sink. Step#2: Pick up the fork on the counter. Step#3: Turn left and look down. Step#4: Place the fork in the pan in the bottom left cabinet. Current Step: " + }, + "output": {} + }, + { + "id": "0205", + "input": { + "image_file": [ + "0205_0.jpg", + "0205_1.jpg", + "0205_2.jpg", + "0205_3.jpg", + "0205_4.jpg" + ], + "prompt": "As an intelligent entity, you are tasked with reaching the main goal. Utilizing your past decisions and the information in the picture, contemplate your next action.Your Main Goal: wash the spatula in the sink, put it in the drawer Step Details: Step#1: turn left, walk to the counter by the stove Step#2: grab the spatula on the counter Step#3: turn around, walk to the sink on the right Step#4: put the spatula in the sink, wash it, take the spatula out Current Step: " + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg", + "0151_1.jpg", + "0151_2.jpg", + "0151_3.jpg", + "0151_4.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: Place the sliced apple on the counter. Step Details: Step#1: Turn left and walk up the room and walk towards the fridge, then turn right to face the trash can. Step#2: Pick up the green apple from the trash can.. Step#3: Turn around, turn right, then turn left to face the counter. Step#4: Put the apple on the counter under the knife. Current Step: " + }, + "output": {} + }, + { + "id": "0026", + "input": { + "image_file": [ + "0026_0.jpg", + "0026_1.jpg", + "0026_2.jpg", + "0026_3.jpg", + "0026_4.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Place a heated apple in a fridge. Step Details: Step#1: Turn right and face the sink. Step#2: Pick up the apple in the sink. Step#3: Turn around and walk a step right to the microwave. Step#4: Heat the apple in the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0432", + "input": { + "image_file": [ + "0432_0.jpg" + ], + "prompt": "Using the final goal as your guide, reflect on your past successful strategies as a smart agent. Observe the information in the image to inform your present decision.Your Main Goal: Turn on the tall lamp in the corner while carrying a white cushion. Step Details: Current Step: " + }, + "output": {} + }, + { + "id": "0058", + "input": { + "image_file": [ + "0058_0.jpg", + "0058_1.jpg", + "0058_2.jpg", + "0058_3.jpg", + "0058_4.jpg" + ], + "prompt": "You are a smart agent aiming to reach a final goal. Consider your successful decisions from past rounds and the current situation presented in the image. What would be your next move?Your Main Goal: Putting a container with a pencil in it on the desk Step Details: Step#1: Turn around and go to the desk Step#2: Grab the pencil off of the desk Step#3: Look down at the desk Step#4: Put the pencil in the container on the desk Current Step: " + }, + "output": {} + }, + { + "id": "0259", + "input": { + "image_file": [ + "0259_0.jpg", + "0259_1.jpg", + "0259_2.jpg", + "0259_3.jpg", + "0259_4.jpg" + ], + "prompt": "Your objective is the main goal. Evaluate your current environment and your past decisions, and decide your immediate course of action.Your Main Goal: Place a washed towel in the middle of two sinks Step Details: Step#1: Go to the right sink Step#2: Pick up the dirty towel next to the sink Step#3: Turn around and face the sink Step#4: Wash the dirty towel in the sink Current Step: " + }, + "output": {} + }, + { + "id": "0325", + "input": { + "image_file": [ + "0325_0.jpg", + "0325_1.jpg", + "0325_2.jpg", + "0325_3.jpg", + "0325_4.jpg" + ], + "prompt": "You are an intelligent agent who has made smart decisions in the past. To achieve the end goal, scrutinize the image's details and contemplate your immediate action.Your Main Goal: Put a heated cup in a cabinet. Step Details: Step#1: Head to the counter next to the stove on the left. Step#2: Open the cabinet above and pick up the green cup from in there. Step#3: Bring the cup to the microwave on the right. Step#4: Heat the cup in the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0288", + "input": { + "image_file": [ + "0288_0.jpg", + "0288_1.jpg", + "0288_2.jpg", + "0288_3.jpg", + "0288_4.jpg" + ], + "prompt": "Your ultimate task is to reach the main goal. Reflect on your past decisions, consider your current surroundings, and determine your immediate action.Your Main Goal: Slice lettuce, chill it, and put in the trash. Step Details: Step#1: Turn right and walk to the lettuce head sitting on the counter next to the toaster. Step#2: Pick up the knife next to the lettuce head. Step#3: Stand up with the knife. Step#4: Slice the lettuce head. Current Step: " + }, + "output": {} + }, + { + "id": "0417", + "input": { + "image_file": [ + "0417_0.jpg", + "0417_1.jpg", + "0417_2.jpg", + "0417_3.jpg" + ], + "prompt": "Given a primary objective and your current surroundings, use your previous decisions and perspectives to determine your next move.Your Main Goal: Put a cooked apple on the table. Step Details: Step#1: Turn around, will forward, then turn right to face the table. Step#2: Pick up the apple from the table. Step#3: Turn right, move forward, turn left, then move forward and to approach the microwave. Current Step: " + }, + "output": {} + }, + { + "id": "0098", + "input": { + "image_file": [ + "0098_0.jpg", + "0098_1.jpg", + "0098_2.jpg", + "0098_3.jpg", + "0098_4.jpg" + ], + "prompt": "Given your past actions and the main goal, analyze your current environment. Decide your next step based on this analysis.Your Main Goal: To move two bars of soap to the black bin. Step Details: Step#1: Turn left and walk to the sink on the right. Step#2: Pick up the bar of soap to the right in the sink. Step#3: Turn around and walk to the black bin to the right of the toilet. Step#4: Put the soap inside of the black bin. Current Step: " + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentFine-grainedReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentFine-grainedReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ec9b6522c2d219c6eb73027e68ca38018a536ad9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentFine-grainedReasoning/annotation.json @@ -0,0 +1,149 @@ +{ + "set_type": "closeset", + "task": "Multimodal Document Fine-grained Reasoning", + "data_source": "DocVQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0175", + "input": { + "image_file": [ + "0175_0.jpg", + "0175_1.jpg", + "0175_2.jpg", + "0175_3.jpg" + ], + "prompt": "There is a related question for each group of pictures. Please answer it shortly. You must choose your answer from the Choice List. Question: What is the budget of the department?Choice list:['$15,050,000', '$15,246,441.50', '$15,246,441', '$15,400,000']. Your answer is:" + }, + "output": {} + }, + { + "id": "0208", + "input": { + "image_file": [ + "0208_0.jpg", + "0208_1.jpg", + "0208_2.jpg", + "0208_3.jpg", + "0208_4.jpg" + ], + "prompt": "I will give you some pictures, and each group of pictures will correspond to a question. Please answer it briefly. You must choose your answer from the Choice List. Question: What is the Sender Fax Number ?Choice list:['609-470-2304', '609-497-2305', '609-497-2304', '609-497-4004']. Your answer is:" + }, + "output": {} + }, + { + "id": "0420", + "input": { + "image_file": [ + "0420_0.jpg", + "0420_1.jpg", + "0420_2.jpg" + ], + "prompt": "Each group of pictures has a related question. Please give a brief answer to it. You must choose your answer from the Choice List. Question: What is the birth date of Mr. Robert E. Shank?Choice list:['09-02-15', '09-02-13', '09-02-14', '02-09-14']. Your answer is:" + }, + "output": {} + }, + { + "id": "0399", + "input": { + "image_file": [ + "0399_0.jpg", + "0399_1.jpg", + "0399_2.jpg", + "0399_3.jpg", + "0399_4.jpg", + "0399_5.jpg" + ], + "prompt": "There is a question for each group of pictures. Please answer it in a short way. You must choose your answer from the Choice List. Question: What is the Total count of Rejects/Returns -Reason ?Choice list:['9', '10', '11', '8']. Your answer is:" + }, + "output": {} + }, + { + "id": "0127", + "input": { + "image_file": [ + "0127_0.jpg", + "0127_1.jpg", + "0127_2.jpg" + ], + "prompt": "There is a related question for each group of pictures. Please answer it shortly. You must choose your answer from the Choice List. Question: what is the estimated population in poverty Schuyler county ?Choice list:['1,326', '1,325', '1,324', '1,327']. Your answer is:" + }, + "output": {} + }, + { + "id": "0092", + "input": { + "image_file": [ + "0092_0.jpg", + "0092_1.jpg", + "0092_2.jpg" + ], + "prompt": "Please answer briefly the question that corresponds to each group of pictures. You must choose your answer from the Choice List. Question: what is the contract number ?Choice list:['DA-49-006-MD-1024', 'DA-49-007-MD-1025', 'DA-49-007-MD-1024', 'DA-49-007-MD-2048']. Your answer is:" + }, + "output": {} + }, + { + "id": "0144", + "input": { + "image_file": [ + "0144_0.jpg", + "0144_1.jpg", + "0144_2.jpg" + ], + "prompt": "Please answer briefly the question that corresponds to each group of pictures. You must choose your answer from the Choice List. Question: What is the method of contact?Choice list:['email', 'call', 'text', 'visit']. Your answer is:" + }, + "output": {} + }, + { + "id": "0333", + "input": { + "image_file": [ + "0333_0.jpg", + "0333_1.jpg" + ], + "prompt": "Please answer briefly the question that corresponds to each group of pictures. You must choose your answer from the Choice List. Question: When is the memorandum dated on?Choice list:['5/4/16', '5/4/86', '5-4-76', '5/4/06']. Your answer is:" + }, + "output": {} + }, + { + "id": "0330", + "input": { + "image_file": [ + "0330_0.jpg", + "0330_1.jpg", + "0330_2.jpg", + "0330_3.jpg", + "0330_4.jpg", + "0330_5.jpg" + ], + "prompt": "For every group of pictures, there is a corresponding question. Please answer it briefly. You must choose your answer from the Choice List. Question: What is th last Holding Date of Equity Owner mentioned for \"Dalmia Housing Finance Ltd\"?Choice list:['31-Dec-08', '31-Dec-06', '31-Dec-10', '31-Dec-12']. Your answer is:" + }, + "output": {} + }, + { + "id": "0145", + "input": { + "image_file": [ + "0145_0.jpg", + "0145_1.jpg", + "0145_2.jpg" + ], + "prompt": "For every group of pictures, there is a corresponding question. Please answer it briefly. You must choose your answer from the Choice List. Question: what is the total amount shown in the current budget ?Choice list:['$30,000.00', '$15,000.00', '20,000.00', '$10,000.00']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f27b7514b52b30e02681bb7ab8f2ed48ffea5bce --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/MultimodalDocumentVQA/annotation.json @@ -0,0 +1,144 @@ +{ + "set_type": "closeset", + "task": "Multimodal Document VQA", + "data_source": "DocVQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0411", + "input": { + "image_file": [ + "0411_0.jpg", + "0411_1.jpg" + ], + "prompt": "There is a question for each group of pictures. Please answer it in a short way. You must choose your answer from the Choice List. Question: What is the Expiration Date ?Choice list:['12/03/96', '12/31/06', '12/31/98', '12/31/96']. Your answer is:" + }, + "output": {} + }, + { + "id": "0351", + "input": { + "image_file": [ + "0351_0.jpg", + "0351_1.jpg" + ], + "prompt": "Please answer briefly the question that corresponds to each group of pictures. You must choose your answer from the Choice List. Question: How many dollar were recieved in compensation from Carsons?Choice list:['none', 'less than $5,000', 'exactly $5,000', 'more than $5,000']. Your answer is:" + }, + "output": {} + }, + { + "id": "0356", + "input": { + "image_file": [ + "0356_0.jpg", + "0356_1.jpg", + "0356_2.jpg", + "0356_3.jpg", + "0356_4.jpg" + ], + "prompt": "There is a question for each group of pictures. Please answer it in a short way. You must choose your answer from the Choice List. Question: Which Airline ticket is provided?Choice list:['DeltaAirlines', 'UnitedAirlines', 'SouthwestAirlines', 'AmericanAirlines']. Your answer is:" + }, + "output": {} + }, + { + "id": "0180", + "input": { + "image_file": [ + "0180_0.jpg", + "0180_1.jpg", + "0180_2.jpg", + "0180_3.jpg" + ], + "prompt": "Each group of pictures has a related question. Please give a brief answer to it. You must choose your answer from the Choice List. Question: What is the level of milk protein in the diet in group 2?Choice list:['12.5', '15.5', '14.5', '13.5']. Your answer is:" + }, + "output": {} + }, + { + "id": "0201", + "input": { + "image_file": [ + "0201_0.jpg", + "0201_1.jpg", + "0201_2.jpg", + "0201_3.jpg" + ], + "prompt": "Please answer shortly the question that relates to each group of pictures. You must choose your answer from the Choice List. Question: What is the SPEC STATUS?Choice list:['UPCOMING', 'PREVIOUS', 'OLD', 'CURRENT']. Your answer is:" + }, + "output": {} + }, + { + "id": "0399", + "input": { + "image_file": [ + "0399_0.jpg", + "0399_1.jpg", + "0399_2.jpg", + "0399_3.jpg", + "0399_4.jpg", + "0399_5.jpg" + ], + "prompt": "Please answer briefly the question that corresponds to each group of pictures. You must choose your answer from the Choice List. Question: What receipt is this?Choice list:['RECEIPT FOR CERTIFIED MAIL', 'RECEIPT FOR REGISTERED MAIL', 'RECEIPT FOR PRIORITY MAIL', 'RECEIPT FOR EXPRESS MAIL']. Your answer is:" + }, + "output": {} + }, + { + "id": "0260", + "input": { + "image_file": [ + "0260_0.jpg", + "0260_1.jpg", + "0260_2.jpg", + "0260_3.jpg" + ], + "prompt": "There is a question for each group of pictures. Please answer it in a short way. You must choose your answer from the Choice List. Question: what is the invoice number ?Choice list:['229593', '229595', '2295941', '229594']. Your answer is:" + }, + "output": {} + }, + { + "id": "0363", + "input": { + "image_file": [ + "0363_0.jpg", + "0363_1.jpg" + ], + "prompt": "There is a question for each group of pictures. Please answer it in a short way. You must choose your answer from the Choice List. Question: what is the deadline ?Choice list:['June 1, 1976', 'July 1, 1996', 'July 1, 1977', 'July 1, 1976']. Your answer is:" + }, + "output": {} + }, + { + "id": "0022", + "input": { + "image_file": [ + "0022_0.jpg", + "0022_1.jpg" + ], + "prompt": "For every group of pictures, there is a corresponding question. Please answer it briefly. You must choose your answer from the Choice List. Question: from which university M.S.(biochemistry) was completed ?Choice list:['university of illinois', 'university of chicago', 'university of washington', 'university of michigan']. Your answer is:" + }, + "output": {} + }, + { + "id": "0006", + "input": { + "image_file": [ + "0006_0.jpg", + "0006_1.jpg" + ], + "prompt": "Each group of pictures relates to a question. Please give a brief answer to it. You must choose your answer from the Choice List. Question: What is the date mentioned in this letter?Choice list:['September 9, 1964', 'September 9, 1963', 'September 10, 1963', 'September 8, 1963']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/MultimodalSlideQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/MultimodalSlideQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0c50ba718f338b0a86de6fec22f6be06e506d2dc --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/MultimodalSlideQuestionAnswering/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Multimodal Slide Question Answering", + "data_source": "SlideVQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0123", + "input": { + "image_file": [ + "0123_0.jpg", + "0123_1.jpg" + ], + "prompt": "Using the slides as your reference, please respond to the following question. You must choose your answer from the Choice List. Question: Was the fresh water withdrawal per barrel of production greater in 2012 or the year in which 8.5% of water was allocated to the oil & gas industry?Choice list:['the year in which 8.5% of water was allocated to the oil & gas industry', '2015', '2012', '2014']. Your answer is:" + }, + "output": {} + }, + { + "id": "0387", + "input": { + "image_file": [ + "0387_0.jpg", + "0387_1.jpg" + ], + "prompt": "Please examine the slides closely and provide a suitable response to the question that follows. You must choose your answer from the Choice List. Question: In which YEAR were there 1,600,000 of the thing which there were 500 of in July?Choice list:['YEAR 5', 'YEAR 2', 'YEAR 4', 'YEAR 3']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg" + ], + "prompt": "Please analyze the data in these slides and accordingly answer the proposed question. You must choose your answer from the Choice List. Question: What is Customer concentration of the company whose tagline is \"INFORMATION IS EVERYTHING\"?Choice list:['None', 'Medium', 'Very low', 'High']. Your answer is:" + }, + "output": {} + }, + { + "id": "0144", + "input": { + "image_file": [ + "0144_0.jpg", + "0144_1.jpg" + ], + "prompt": "Examine the slides carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Question: How many Current rideshare commuters are there in the Metro area with 56 million dollars of Annual fuel wastage avoided?Choice list:['638,290', '638,250', '638,300', '638,280']. Your answer is:" + }, + "output": {} + }, + { + "id": "0352", + "input": { + "image_file": [ + "0352_0.jpg", + "0352_1.jpg" + ], + "prompt": "Examine the slides carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Question: Which application tracks the highest frequency of usage per cycle, yelp or expedia?Choice list:['both', 'yelp', 'neither', 'expedia']. Your answer is:" + }, + "output": {} + }, + { + "id": "0278", + "input": { + "image_file": [ + "0278_0.jpg", + "0278_1.jpg" + ], + "prompt": "Examine the slides carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Question: Did Brazil or the country with 0 World Cup match victories all time have a higher smartphone penetration rate in 2014?Choice list:['the country with 0 World Cup match victories all time', 'Argentina', 'Germany', 'Brazil']. Your answer is:" + }, + "output": {} + }, + { + "id": "0482", + "input": { + "image_file": [ + "0482_0.jpg", + "0482_1.jpg" + ], + "prompt": "Please analyze the data in these slides and accordingly answer the proposed question. You must choose your answer from the Choice List. Question: What is the category that accounts for 846 ($M) Revenue in the fiscal period covered by Cisco's presentation given on February 11, 2015?Choice list:['Data Center', 'Collaboration', 'Networking', 'Security']. Your answer is:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg" + ], + "prompt": "Please examine the slides closely and provide a suitable response to the question that follows. You must choose your answer from the Choice List. Question: What type of a natural vibration of the ground or the earth crust produced by forces corresponds to a Depth of focus (km) of 60-300?Choice list:['major earthquake', 'microearthquake', 'minor earthquake', 'Intermediate Earthquake']. Your answer is:" + }, + "output": {} + }, + { + "id": "0364", + "input": { + "image_file": [ + "0364_0.jpg", + "0364_1.jpg" + ], + "prompt": "Please analyze the data in these slides and accordingly answer the proposed question. You must choose your answer from the Choice List. Question: Regarding the venture funding of digital health companies, what was the amount in B dollars in DEC of the year in which the largest deal, funding NantHealth, was led by a sovereign wealth fund, the Kuwait Investment Authority?Choice list:['3.9', '4.5', '4.2', '4.1']. Your answer is:" + }, + "output": {} + }, + { + "id": "0086", + "input": { + "image_file": [ + "0086_0.jpg", + "0086_1.jpg" + ], + "prompt": "Please analyze the data in these slides and accordingly answer the proposed question. You must choose your answer from the Choice List. Question: Which place had the greatest Contribution to Decline in Year-Over-Year Foreign Growth Over Last Year in Percentage Points, Czech Republic or the country that the biggest threat to the euro-area economy had come from?Choice list:['Italy', 'Spain', 'Greece', 'Czech Republic']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Multimodal_Neural_Translation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Multimodal_Neural_Translation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f3aba02ddf7e613ffcd2bbeda9b8008b5773ddf6 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Multimodal_Neural_Translation/annotation.json @@ -0,0 +1,261 @@ +{ + "set_type": "closeset", + "task": "Multimodal_Neural_Translation", + "data_source": "multi30k", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multimodal Neural Translation", + "domain": "Linguistics", + "general_capability": "Reasoning Ability", + "version": "1.0", + "data": [ + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_488.png", + "instruction": "Can this image be translated into the following languages? German: Zwei Personen mit H\u00fcten stehen auf einem Feld und pflegen Nutzpflanzen.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0489" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_1.png", + "instruction": "Can this image be translated into the following languages? English: A Boston Terrier is running on lush green grass in front of a white fence.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0002" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_486.png", + "instruction": "Can this image be translated into the following languages? Czech: Skupina mu\u017e\u016f stoj\u00ed na poli s \u010dern\u00fdmi m\u00ed\u010dky.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0487" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_298.png", + "instruction": "Can this image be translated into the following languages? French: Une jeune femme avec un tissu violet cachant son visage se repose sur une plate-forme en bois.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0299" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_229.png", + "instruction": "Can this image be translated into the following languages? English: A youth with a black shirt that says \"Asian Pacific 2007\" plays a drum while sitting.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0230" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_267.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva mu\u017ei sed\u00ed a pov\u00eddaj\u00ed si pobl\u00ed\u017e kamenn\u00e9 budovy.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0268" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_288.png", + "instruction": "Can this image be translated into the following languages? French: Un gar\u00e7on sautant pour frapper une balle de tennis avec sa raquette", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0289" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_385.png", + "instruction": "Can this image be translated into the following languages? German: Eine alte Frau sitzt an einem Webstuhl und stellt Stoff her.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0386" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_396.png", + "instruction": "Can this image be translated into the following languages? English: A brown dog picks up a twig from a stone surface.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0397" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_128.png", + "instruction": "Can this image be translated into the following languages? English: An old woman working at a loom making cloth.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0129" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_349.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva stavebn\u00edci o n\u011b\u010dem diskutuj\u00ed na stavb\u011b.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0350" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_268.png", + "instruction": "Can this image be translated into the following languages? French: Un homme avec une moustache et une barbe tient une po\u00eale \u00e0 frire d'o\u00f9 s'\u00e9l\u00e8vent des flammes.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0269" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_458.png", + "instruction": "Can this image be translated into the following languages? Czech: \u010cty\u0159i lid\u00e9 sed\u00ed na hromad\u011b kamen\u016f.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0459" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_494.png", + "instruction": "Can this image be translated into the following languages? German: Ein Typ arbeitet an einem Geb\u00e4ude.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0495" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_441.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva \u017eokeji, jeden v \u010dervenomodro kostkovan\u00e9m a ten druh\u00fd v oran\u017eovohn\u011bd\u00e9m proti sob\u011b z\u00e1vod\u00ed a pozad\u00ed je rozmazan\u00e9.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0442" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_492.png", + "instruction": "Can this image be translated into the following languages? French: Une foule de personnes dehors pour s'amuser dans un parc public.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0493" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_194.png", + "instruction": "Can this image be translated into the following languages? English: A young woman with a purple cloth hiding her face relaxes on a wooden deck.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0195" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_51.png", + "instruction": "Can this image be translated into the following languages? French: Un wakeboardeur effectue un salto tout en \u00e9tant tract\u00e9 \u00e0 grande vitesse.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0052" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_47.png", + "instruction": "Can this image be translated into the following languages? Czech: Otec a dv\u011b d\u011bti p\u0159ed jejich domem pracuj\u00ed na zahrad\u011b a na p\u0159\u00edklad pou\u017e\u00edvaj\u00ed motyku a s\u00e1zej\u00ed strom.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0048" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_164.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva mu\u017ei v zelen\u00e9m p\u0159ipravuj\u00ed j\u00eddlo v restauraci.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0165" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_472.png", + "instruction": "Can this image be translated into the following languages? French: Deux jeunes filles sont assises dans la rue, mangeant du ma\u00efs.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0473" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_433.png", + "instruction": "Can this image be translated into the following languages? German: Zwei Personen in blauen Hemden stehen mit einem Megafon im Freien.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0434" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_414.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva mu\u017ei v oblec\u00edch pod de\u0161tn\u00edkem a p\u0159ed graffiti.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0415" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_384.png", + "instruction": "Can this image be translated into the following languages? French: Un coureur cycliste v\u00eatu de noir roulant sur une piste en terre en VTT.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0385" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_423.png", + "instruction": "Can this image be translated into the following languages? Czech: Dva mu\u017ei a \u017eena stoj\u00ed venku.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0424" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_289.png", + "instruction": "Can this image be translated into the following languages? English: A man in uniform and a man in a blue shirt are standing in front of a truck.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0290" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_483.png", + "instruction": "Can this image be translated into the following languages? French: Un homme sur un v\u00e9lo roule en montagne.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0484" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_34.png", + "instruction": "Can this image be translated into the following languages? French: Trois gar\u00e7ons sont debout sur une jet\u00e9e en maillots de bain.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0035" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_19.png", + "instruction": "Can this image be translated into the following languages? English: Two men pretend to be statutes while women look on.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0020" + }, + { + "input": { + "image_file": "data/image/comprehension/Multimodal_Neural_Translation/multi30k/images/image_63.png", + "instruction": "Can this image be translated into the following languages? French: Un homme est assis sur un banc, tenant son chien et regardant l'eau.", + "prompt": "Analyze the image and determine if it can be described using the provided sentence in the specified language. Return 'yes' if the image can be translated into the given description, otherwise return 'no'." + }, + "id": "0064" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Numerical_Dual_Image_Description_Verification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Numerical_Dual_Image_Description_Verification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..85f4d01dc224010c18746f2b17348fab9bd8da68 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Numerical_Dual_Image_Description_Verification/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Numerical_Dual_Image_Description_Verification", + "data_source": "nlvr2", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Reasoning Ability", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_888_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_888_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nA total of three dogs are shown in the combined images, including one dog sitting upright and alone. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0335" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_4969_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_4969_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are three colorful birds, in bright red/green/blue colors. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0140" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5487_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5487_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe combined images contain exactly one whole lemon, two wedge shapes, and at least one round slice. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0313" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3619_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3619_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe left image contains at least three large white birds. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0285" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2769_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2769_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image features a collage of three similar skincare products displayed vertically. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0152" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3698_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3698_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe right image contains one chihuahua snarling and showing its teeth. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0149" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3194_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3194_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn at least one image there are a total of twelve white golf balls. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0453" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1876_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1876_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are exactly three zebras. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0070" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2639_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2639_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe image on the right shows some of the trees surrounding the yurt. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0375" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3686_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3686_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn one image, a three legged dog is wearing a striped sweater (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0421" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_842_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_842_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe right image contains one dog standing on grass with its body facing towards the right. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0302" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2336_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2336_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn the right image, at least one hand is reaching over a cement ledge to offer a piece of food to a stingray in a pool. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0212" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5865_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5865_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nA reddish-orange mama dog has her head next to at least one tiny puppy in the right image. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0014" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1673_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1673_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere is exactly one cat that is entirely black. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0239" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5369_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5369_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThe left image contains one dog standing on snow. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0078" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1569_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1569_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image shows a single white puppy while the other shows three white puppies. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0187" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1051_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_1051_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne image contains three bottles of wine and the other contains one bottle. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0135" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3876_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3876_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn at least one image there is a total of two antelopes in the grass. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0379" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_581_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_581_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nNo one is standing in front of the building in the image on the right. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0155" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_6676_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_6676_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAn image shows one barefoot boy riding a head-lowered water buffalo and holding a stick. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0416" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2308_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2308_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nExactly one dog has its mouth open. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0269" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_6123_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_6123_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nAt least one of the dogs is standing on cement. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0456" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2057_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2057_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nthe left side image has less then four items (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0276" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_594_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_594_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nIn at least one image there is a flag and flagpole in front of a monastery (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0250" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_4578_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_4578_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nOne photograph shoes at least three televisions, while the other shows only one beige colored vintage television with at least one knob for adjustment. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0414" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3730_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3730_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nA dog is sitting on grass and is surrounded by yellow flowers in one of the images. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0399" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3758_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3758_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nEach image contains a wolf, and one image shows a black wolf and a dark doberman in a face-to-face confrontation. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0081" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3372_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_3372_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are exactly three actual, flesh and blood dogs. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0311" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2225_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_2225_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nThere are three shoes. (A) False (B) True", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0434" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5447_0.png", + "data/image/comprehension/Numerical_Dual_Image_Description_Verification/nlvr2/images/image_5447_1.png" + ], + "question": " Here is a statement about the images. Is it true or false?\nNo image shows more than two whole lemons, and in at least one image a lemon has been cut in half. (A) True (B) False", + "prompt": "Evaluate the statement about the images. Determine if it is true or false based on the images. Return 'A' for True and 'B' for False." + }, + "id": "0363" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Object_Hallucination_Detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Object_Hallucination_Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..cf7558d2b54ff5061702788804746efe1ab317c4 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Object_Hallucination_Detection/annotation.json @@ -0,0 +1,821 @@ +{ + "set_type": "closeset", + "task": "Object_Hallucination_Detection", + "data_source": "https://github.com/jiazhen-code/PhD", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Hallucination Detection", + "domain": "GeEthicsneral", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "id": "0413", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000141366.jpg", + "context": "In the image, a casserole takes center stage, capturing the attention of viewers. Around it, a group of cats gathered around drinking milk from a ball, while many others are seen drinking water from white bowls. The colorful assembly of felines, some up close near a bowl of milk, creates a charming scene of camaraderie and curiosity.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0407", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000109092.jpg", + "context": "The image showcases a doghole, an intriguing sight for pet lovers and food enthusiasts alike. In a setting where a man in a suit is both holding and admiring various hot dogs, his fascination is evident as he gazes at a chili dog with cheese, and even a sausage dog cradled in his arms. This scene perfectly captures the delightful intersection of indulgent food and the joy of canine companionship.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0186", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000374551.jpg", + "context": "In a stunning display of nature, a telescope captures the intricate details of a tiny bird perched on a branch. Observers can marvel at the bird's brown, gray, and black feathers as it sits quietly outside, surrounded by the beauty of its natural habitat. This moment not only highlights the delicate charm of avian life but also invites viewers to take a closer look at the wonders that often go unnoticed in our surroundings.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0406", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000083738.jpg", + "context": "In the image, a spacious bathroom features a luxurious bathtub, emphasizing relaxation and comfort. Surrounding the bathtub are a sink, mirror, and a toilet, all elegantly integrated within a design that includes white brick walls and tiled surfaces. This serene setting reflects modern sensibilities, with practical fixtures harmoniously blending into the overall aesthetic.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0311", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000120006.jpg", + "context": "In a vibrant scene, a wheelbarrow is prominently featured alongside a picturesque elephant ride. A woman in a black vest joyfully sits atop the elephant, while a handler walks alongside, ensuring a safe and enjoyable experience. The overall atmosphere is one of happiness and adventure, highlighted by the smiling rider embracing the moment.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0071", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000286719.jpg", + "context": "A juicer takes center stage in the photo, showcasing the potential for fresh, vibrant beverages. Surrounding the juicer, several bunches of carrots rest beside a crate of lemons, highlighting the freshness and health benefits of these produce items. This display underscores the appeal of combining carrots and lemons for a refreshing juice.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0471", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000084454.jpg", + "context": "In the image, there is a camera prominently displayed in a cozy bedroom. A bed, adorned with decorative lights, is complemented by a laptop set up nearby, creating a functional yet inviting workspace. An Italian flag hangs above the bed, adding a touch of personal flair to the room's decor, which is filled with various furniture and accessories.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0191", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000013944.jpg", + "context": "In a bustling city street scene, a ladder can be seen as city workers diligently repair a traffic light using a crane positioned on top of a truck. Among the activities, a man is focused on fixing the traffic signal next to a power pole, while other workers assist in restoring the crucial road sign. This cooperative effort showcases the importance of maintaining safety and functionality on the roads.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0089", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000527364.jpg", + "context": "In the image, a runway stretches out prominently, serving as a critical path for arriving and departing trains. Nearby, a red and silver train pulled up to the station, poised to welcome passengers. The subway train rolls along the tracks beneath the cables and beams overhead, while another red train is stopped, waiting to pick up commuters at the station.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0476", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000046365.jpg", + "context": "The image contains a bathtub, offering a serene setting that contrasts with the unusual decor found in many modern bathrooms. A shower curtain featuring a tree motif adds a touch of nature, harmonizing with the overall design. Nearby, a toilet is situated next to a tree-themed shower curtain, creating a unique ambiance in this distinctive bathroom space.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0161", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000570423.jpg", + "context": "In the captivating image, a black and white cat with a red print collar sits attentively on a bench, its curious gaze directed upward, seemingly mesmerized by something above. The scene is further enhanced by a delicate feather nearby, adding an element of intrigue to the feline's inquisitive nature. As this kitty explores its surroundings, its long whiskers prominently frame its expressive face, showcasing the playful wonder that cats often embody.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0131", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000166018.jpg", + "context": "The image shows an abundance of bubble wrap, indicative of ongoing packing or moving activities. Surrounding the bubble wrap are numerous boxes stacked in a living room, creating a crowded atmosphere in front of a fireplace. This setup suggests a transition period, with some boxes organized neatly while others sit in a pile, reflecting a common scenario during relocations.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0248", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000050462.jpg", + "context": "In the image, there is a hurdle at the train station, creating an obstacle for travelers amidst the hustle and bustle. Old fashioned leather luggage is stacked up nearby, while a man walks on the sidewalk next to a moving train, navigating through the busy environment. Several stacks of suitcases highlight the station's activity, as another man stands near a train, seemingly contemplating his next move.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0119", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000209809.jpg", + "context": "A delightful birthday cake celebrating a one-year-old features an enchanting Sesame Street theme. The large sheet cake, adorned with vibrant characters from the beloved children's show, is beautifully wrapped with a ribbon that adds a festive touch. This yellow and white cake not only captures the essence of joy but also serves as a centerpiece for a memorable birthday celebration.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0174", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000021963.jpg", + "context": "In a captivating scene, a young boy stands in awe next to a large white polar bear at the zoo. The image captures their shared moment, with the boy looking intently at the majestic creature. Nearby, a remote control lies forgotten, further emphasizing the wonder of nature that has momentarily captured the child's attention.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0394", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000186131.jpg", + "context": "In the photo, there is a juicer prominently displayed alongside a couple of bowls filled with sliced and diced vegetables, showcasing a colorful assortment that includes carrots and another vegetable. The bowls sit conveniently by a flower pot and two cabbages, creating an inviting scene in a kitchen. Overall, the arrangement highlights the freshness of the ingredients, adding a vibrant touch to the counter.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0143", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000104647.jpg", + "context": "In the image, there is a shovel prominently displayed amidst a lively scene of bikers riding on the back of motorcycles. This vibrant gathering illustrates a motorcycle gang embarking on an adventurous journey together, showcasing an orange and a blue motorcycle side by side with riders enjoying the open road. A group of people on motorcycles can be seen traversing the street, illustrating the camaraderie and spirit of the biking community.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0208", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000222572.jpg", + "context": "In a lively kitchen, two women collaborate on meal preparation, showcasing a warm atmosphere filled with activity. The oven, prominently featured in the scene, hints at the delicious dishes being crafted, as one woman works diligently at the kitchen sink while the other rummages through a drawer for utensils. Together, they exemplify teamwork and camaraderie in the heart of their home.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0336", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000448535.jpg", + "context": "In a vibrant kitchen setting, a casserole takes center stage in the image, evoking warmth and togetherness. Surrounding it, friends gather in celebration, sharing moments of joy as a woman cuts a beautifully decorated birthday cake, while a young girl watches with excitement. This scene captures the essence of friendship and festivity, highlighted by the camaraderie of the women standing around the table, eagerly slicing the cake.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0435", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000385359.jpg", + "context": "The image features a young boy dressed in a stylish blue sweater, complete with a shirt and necktie, exuding a cheerful demeanor as he stands in front of a brown chair. His charming smile captures the attention of the viewer, making it evident that he is looking at something with great interest. Accompanying this visual is a handkerchief, adding a touch of detail to the well-dressed little boy.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0113", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000200116.jpg", + "context": "In the image, there is a refrigerator prominently featured in a beautifully designed kitchen with lots of windows and wooden cabinets. The open kitchen and dining area, complete with a glass table and chairs positioned next to a window, creates a bright and inviting atmosphere. This space also showcases a charming bay window and a stylish tile floor, further enhancing its appeal.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0347", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000380905.jpg", + "context": "In the photo, a grey cat is comfortably nestled atop a blue suitcase, a scene that captures the charm of travel and the unexpected companionship of a pet. Amidst a briefcase and other packed belongings, the cute feline enjoys a peaceful nap, perfectly at home on the luggage. This delightful image not only highlights the cat's playful nature but also adds a touch of warmth to the travel experience.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0207", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000572663.jpg", + "context": "In the photo, there is a board prominently featured, highlighting the vibrant skate culture. A young man in a gray shirt performs a trick while riding his skateboard, showcasing his skills near a group of onlookers. The dynamic scene also includes a person riding up a ramp and another navigating down concrete stairs filled with graffiti, capturing the energetic atmosphere of the skatepark.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0418", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000503765.jpg", + "context": "At a recent car show, a vibrant scene unfolded with a collection of vintage cars on display. In one stunning photo, a turquoise and orange station wagon proudly showcased two surfboards on its roof, perfectly embodying the beach culture of the era. Nearby, a classic blue and orange station wagon caught the eye, and amidst the nostalgic charm, a beach ball added a playful touch to the atmosphere.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0258", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000263613.jpg", + "context": "In the captivating scene depicted, a woman is seated in an ancient stone corridor, surrounded by a horse, a cow, and a leopard, all gazing at her. There is a lantern illuminating the space, adding a warm glow to the otherwise dim hallway. This poignant composition draws the viewer's eye to the unique harmony between the lady and the animals, all while enhancing the enchanting atmosphere of the painting.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0306", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000212945.jpg", + "context": "The image contains a remote control, a crucial tool for operating various devices, including model trains. In the backdrop, a train engine is steaming through a railyard next to a grain factory, highlighting the harmonious blend of technology and industry. Nearby, a man is capturing the moment of an old steam engine train, as a smaller train makes its way down the tracks beside a large cylindrical building and a silo, showcasing a rich history of rail transport.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0315", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000197266.jpg", + "context": "The image includes a dishwasher, a striking addition to the array of discarded appliances that one might encounter on urban streets. Among the detritus, an old, burnt-out stove and oven sit abandoned, with other worn-down units scattered across parking lots. This scene highlights the growing issue of appliance waste and the stories behind these once-cherished household items.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0486", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000168837.jpg", + "context": "A suitcase rests beside a beautifully arranged white bed, adorned with a single red rose at its center. Accompanying the rose, a bottle of champagne chills in an elegant bucket, setting a romantic atmosphere. This inviting scene is completed by delicate touches, including a rose tied with a ribbon and a note, making it the perfect backdrop for a special occasion.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0253", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000399191.jpg", + "context": "There is a casserole in the image, surrounded by a vibrant array of fresh vegetables. A glass bowl filled with mixed vegetables sits on the counter, alongside a display of colorful produce on the table. This setting showcases the beauty and variety of vegetables, enhancing the appeal of the nutritious casserole.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0451", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000321344.jpg", + "context": "In the image, there is a bookshelf prominently displayed, surrounded by various objects that add to the cozy atmosphere of the scene. A telephone, a book, and an apple are setting on a wooden table, while a phone rests on top of a book nestled between two apples, all positioned in front of a windowsill adorned with a potted plant. Additional details include a silver bucket, a white and blue curtain, and a T.V. remote, all contributing to the inviting setup beneath the window.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0228", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000414680.jpg", + "context": "The image contains a smartphone, highlighting the role of technology in everyday life. A picture of four yellow flowers in a glass vase sitting on a table offers a refreshing contrast, reminding us of nature's beauty amid our digital distractions. These vibrant yellow flowers, elegantly arranged, enhance the aesthetic appeal of any setting.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0273", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000075636.jpg", + "context": "In the image, there is a microwave prominently displayed alongside a delicious spread of homemade pizza and a fresh bowl of salad. The meal, which beautifully combines classic flavors, showcases a pizza sitting next to the vibrant salad, making it an appealing choice for any dining occasion. This snapshot captures the essence of a simple yet satisfying meal served at home.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0103", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000415528.jpg", + "context": "In a thrilling display of skateboarding skills, a photo captures a skateboarder coming down a ramp while another person watches intently. The skateboarder, having reached the top of a steep barrier, prepares to ride down with confidence. Interestingly, amidst this action-packed scene, there is also a remote control in the image, hinting at a playful blend of technology and sports.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0352", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000118778.jpg", + "context": "The image features a subway, seamlessly navigating through the cityscape. A blue and white train can be seen passing by other trains and buildings, showcasing the bustling activity of urban transportation. In the background, a couple of trains move in different directions, while various trains and containers are stationed in the train yard nearby, highlighting the intricate network of railways that supports city life.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0056", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000258476.jpg", + "context": "A photo captures a striking yacht prominently visible in the scene, adding a touch of luxury to the urban landscape. Nearby, a yellow truck is navigating through a parking lot, showcasing the bustling activity of the area. As the large yellow vehicle maneuvers past an intersection, it highlights the dynamic mix of transportation in this vibrant town.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0241", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000207152.jpg", + "context": "In a vibrant park scene, a woman is engaged in an energetic game of frisbee with her dog, showcasing their playful bond. The backdrop includes a bucket, adding a colorful touch to this lively outdoor setting. As the woman enthusiastically throws the frisbee, her dog eagerly leaps into the air, capturing the joy of summer days spent in the company of a beloved pet.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0330", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000341503.jpg", + "context": "In a striking scene, a bulldozer dominates the image, showcasing its impressive size and strength. Nearby, a funny car with massive rubber tires can be seen parked, alongside a big-wheeled tractor and a large truck equipped with giant tires. This unusual gathering of oversized vehicles highlights the fascination with heavy machinery and their robust designs.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0062", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000197652.jpg", + "context": "In the striking photo, a camera captures the scene of a cage packed full of yellow parakeets, illustrating the plight of these birds. Many of them are crammed together in a white cage, waiting to be sold, highlighting the crowded conditions in which they are kept. This image serves as a poignant reminder of the challenges faced by captive parakeets.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0320", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000230903.jpg", + "context": "In the image, a bicycle is prominently featured alongside a vibrant yellow and red train traveling down the tracks. This colorful train, visible in a silver, red, and yellow design, approaches the station while another yellow and red train sits stationary, creating a dynamic scene at the train stop. The backdrop includes a train situated close to a residential house, enhancing the lively atmosphere of the commuter hub.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0031", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000562835.jpg", + "context": "The image features a well-used kitchen with an oven as the central appliance, where a man busies himself with various tasks. Accompanying him is his curious dog, who is investigating something on the floor, adding a charming touch to the scene. This view captures a moment of domestic life, showcasing the interaction between the man and his loyal companion amidst the clutter of everyday kitchen items.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0448", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000275749.jpg", + "context": "In the photo, an inviting armchair stands out amidst a lively gathering of friends socializing in a cozy setting. A group of people are seen interacting and enjoying each other's company, creating an atmosphere of warmth and camaraderie. This scene captures the essence of a small gathering at a friend's house, where laughter and conversation fill the room.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0190", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000282804.jpg", + "context": "In a striking scene, a mule stands prominently among a group of brown cows resting in a stable. The cows, some standing next to a brick wall or amidst piles of hay and straw, create a serene farm atmosphere. With two cows specifically featured almost side by side, the stable reflects the close-knit nature of farm life, further enhanced by the soft textures of straw surrounding them.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0147", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000353495.jpg", + "context": "In a small residential bathroom, a toothbrush is prominently featured in the image, highlighting the personal touch of the space. The bathroom also includes a double door vanity with a white sink and chrome faucet, though the basin appears quite dirty. Various elements such as a toilet paper roll resting on the tank and a marble sink basin add to the cozy, albeit mixed-patterned decor of this compact area.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0457", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000124601.jpg", + "context": "In the image, a towel rests prominently on the counter, adding a touch of homeliness to the kitchen scene. This small kitchen features both upper and lower cabinetry, with a laptop set up alongside a coffee cup on the workspace, creating an inviting atmosphere for productivity. A white mug sits next to the laptop, completing the cozy and functional setting.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0395", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000219752.jpg", + "context": "In a snapshot of a busy work environment, there is a bottle prominently featured alongside a cluttered desk setup. The image showcases a laptop surrounded by an assortment of papers, a large Sonic drink, and various items that highlight a creative yet chaotic workspace. With a cup resting in front of the computer, it encapsulates the essence of multitasking in a modern digital age.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0203", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000125755.jpg", + "context": "In a cozy kitchen, a pot sits prominently on the counter, surrounded by a delightful array of freshly baked cupcakes. A tray of cupcakes is set nearby, some partially iced and adorned with walnuts, while others cool on a rack, showcasing the baker's culinary skills. The dessert is prepared and ready to be enjoyed, adding to the inviting atmosphere of the kitchen.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0375", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000514006.jpg", + "context": "In the vibrant city scene, a pink bus stands prominently, complemented by a white bus parked nearby, creating a striking visual contrast. A man is seen getting onto the pink bus as passengers gather to board, highlighting the bus's popularity amidst the urban hustle. Meanwhile, an umbrella adds an intriguing element to the image, suggesting that the journey may be taking place on a rainy day.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0267", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000023038.jpg", + "context": "The image contains a koala, an iconic marsupial native to Australia, often associated with a relaxed lifestyle in eucalyptus trees. This charming depiction highlights the gentle nature of wildlife, reminiscent of the playful spirit found in baby polar bear cubs as they enjoy their time by a small pond. In fact, these adorable young polar bears can be seen frolicking by the water, showcasing the innocence and playfulness of youth in the animal kingdom.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0297", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000128034.jpg", + "context": "In a bustling city scene illuminated by a traffic light, late-night food carts are open for business, drawing in hungry patrons. Image captures the vibrant atmosphere as people gather in front of the food trucks, with a couple of large buses also parked nearby, adding to the urban backdrop. As the night unfolds, the lively street becomes a hub of activity and flavor.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0433", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000061133.jpg", + "context": "In the image, there is a bowl of cereal, accompanied by a bottle of milk next to a tray of cookies and juicy red pears. This delightful setup offers a choice between the classic combination of milk and cookies or the nutritious appeal of fresh fruit. With a backdrop of chocolate cookies and tangerines, the scene perfectly balances indulgence and healthiness for a satisfying snack option.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0404", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000474472.jpg", + "context": "The image features a mousepad prominently displayed on a desk filled with various computers, creating a bustling workstation environment. Several different computers are next to each other, showcasing a setup that includes four monitors and two keyboards, emphasizing the importance of technology in our daily lives. The assortment of computers lined up on the desk illustrates the growing trend of multi-monitor setups in both home and office settings.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0150", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000020157.jpg", + "context": "In a vibrant scene, a colorful balloon floats gracefully above a picturesque lake where a person is flying a kite off of a dock. Nearby, a shot captures a man standing on a pier under a cloudy blue sky, providing a serene backdrop for the activities taking place around him. The calm waters host a small boat, enhancing the tranquility of this outdoor setting.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0400", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000121572.jpg", + "context": "In an urban setting, there is a traffic light directing the flow of vehicles, creating a bustling atmosphere. Parked along the curb are several buses, including a prominent red double-decker bus positioned in front of a smaller white bus. These buses are lined up beside older buildings, showcasing the city's blend of modern transportation and historical architecture.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0213", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000349403.jpg", + "context": "In a striking image, a woman in a dress is seen walking down the street while carrying an umbrella, adding a touch of elegance to a dreary day. This black and white photograph captures her steps as she confidently navigates the sidewalk, seemingly unfazed by the weather. Interestingly, a bicycle can be spotted in the background, hinting at the vibrancy of urban life around her.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0361", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000145262.jpg", + "context": "The image features a laptop computer prominently displayed, indicating a surge in digital engagement amid the bustling outdoor market scene. Surrounding the laptop, vibrant tables are topped with an array of fresh produce, highlighting a rich selection of fruits and vegetables that draw in eager customers. Nearby, a truck stands ready to replenish supplies, underscoring the market's liveliness and dedication to fresh, local offerings.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0072", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000317210.jpg", + "context": "In the image, there is a carriage being pulled by two horses across a snow-covered field. This picturesque scene also features a man driving a horse-drawn sleigh, highlighting the traditional charm of winter transportation. The snowy backdrop complements the sight of the horses, adding to the serene beauty of the moment.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0349", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000010613.jpg", + "context": "In the image, there is an ice cream that draws attention with its vibrant colors. A woman is holding something out of a box presented by a man, while incidentally, another man buys doughnuts from a woman selling them on the city street. The scene captures a lively exchange, as the woman investigates a donut from the box, and a man looks curiously at what's inside.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0042", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000281397.jpg", + "context": "The image features a bicycle amidst a nostalgic scene filled with parked cars, offering a glimpse into the past. This black and white photo captures the essence of street life, showcasing a large town where vehicles occupy both lots and the street. With its old-world charm, the street scene presents a stark contrast to the modern age, inviting viewers to reflect on how transportation has evolved over the years.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0013", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000183266.jpg", + "context": "In a well-designed kitchen, there is a pantry that adds both functionality and convenience to the culinary space. Image shows a metallic refrigerator freezer sitting inside of the kitchen, complemented by a stove, oven, and microwave, creating an efficient cooking environment. The overall aesthetic features stainless steel appliances and white cabinets, providing a modern feel to the home.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0416", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000128428.jpg", + "context": "In the image, there is a casserole that showcases a delicious blend of flavors, promising a hearty meal for any occasion. Nearby, a can of tomato sits on the kitchen counter, hinting at the culinary inspiration behind the homemade uncooked pizzas that feature mushrooms and spinach alongside the tomato sauce. These unbaked pizzas, topped with ham, mushrooms, and spinach, demonstrate a creative use of ingredients that complement the vibrant red sauce from the can.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0123", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000459749.jpg", + "context": "In the image, a juicer is prominently displayed alongside a pot of water, which appears to be filled with several cut-up carrots simmering on the stove. The boiling carrots suggest that they are being prepared for a nutritious dish, while the juicer hints at the possibility of transforming fresh produce into a healthy beverage. This scene captures the essence of healthy cooking and the integration of fresh ingredients.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0343", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000270284.jpg", + "context": "The image contains a sofa, contrasting sharply with the backdrop of a bustling urban environment where a field of sheep is seen running together in a city alley. As the sheep travel across concrete near a small bench, their presence highlights the unusual juxtaposition of nature within the confines of concrete structures. From an aerial view, one can observe a herd of sheep herded together inside a ring, moving gracefully across the cement walkway, capturing a moment where urban life intersects with pastoral charm.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0010", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000137330.jpg", + "context": "In an engaging scene captured in the image, a personal watercraft speeds across the water, showcasing the thrill of water sports. Nearby, a team of rowers, depicted in a black and white photo, receives instructions from their captain, highlighting the collaborative spirit of rowing competitions. The coxswain is seen motivating the crew, embodying the dedication and teamwork that define this challenging sport.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0437", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000141941.jpg", + "context": "In the vibrant scene captured in the photo, there is a phone prominently displayed amidst a large group of people socializing over a feast of pizzas, salads, and various other dishes. Many attendees are scattered around a huge table of food, enjoying the lively atmosphere of the gathering. The image perfectly encapsulates the joy of friends and family coming together to celebrate while standing around a table brimming with delicious offerings.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0411", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000123964.jpg", + "context": "In a lighthearted moment on the baseball field, a dog was seen joyfully bringing a baseball bat back to the dugout. As the dog made its way across the vibrant green grass, it caught the attention of four baseball players standing behind a fence, who leaned over eagerly to watch. This playful scene, complemented by the dog's determination, highlights the unexpected joys that can be found in the midst of a game. Meanwhile, there is a cat in the image, adding a touch of whimsy to an already delightful day at the ballpark.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0019", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000120860.jpg", + "context": "In a captivating scene on the water, a sailor stands aboard a boat alongside a lively brown and white dog that is intently staring at something off in the distance. The dog, positioned near an orange life-saver, adds a playful energy to the image, as it appears to be caught in a moment of curiosity. This charming photo captures the bond between the sailor and his furry companion, set against the backdrop of an adventurous maritime lifestyle.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0139", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000196775.jpg", + "context": "A scooter is prominently featured in the image, adding a sense of urban mobility to the scene. In the background, a solar-powered parking meter stands next to a table with chairs, highlighting the growing trend of sustainable infrastructure in public spaces. This setup includes a pay machine positioned outside, providing convenient access for those visiting the area.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0289", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000185097.jpg", + "context": "In the image, there is a dining table that complements the overall aesthetic of a beautifully decorated room. A large white bed, topped with a pristine white blanket and pillows, serves as the focal point, while framed pictures grace the walls above. The inviting space also features a lamp and other tasteful decor, highlighting the room's spaciousness and elegance.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0220", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000274758.jpg", + "context": "In a charming scene, a baby is perched in a sink, happily holding a toothbrush, suggesting a playful moment of bath time routine. Nearby, a hairbrush can also be seen in the image, hinting at preparations for grooming. This delightful image captures the innocence of childhood as the small child engages with familiar objects, creating a heartwarming snapshot of daily life.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0200", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000546379.jpg", + "context": "In the image, a smartphone is prominently displayed alongside a delicious array of food. A plate features a perfectly grilled sandwich, accompanied by a steaming cup of tea that invites relaxation. Nearby, a close-up reveals another plate of a savory egg sandwich on a wooden table, complementing the cozy atmosphere created by the presence of a cup of coffee and grilled cheese.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0083", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000441777.jpg", + "context": "In a vibrant field, a frisbee is captured mid-air as a group of young people prepare to engage in a game. Standing together, they exhibit excitement and camaraderie, with three women and four men huddled closely, ready to showcase their skills. Clad in matching white shirts, they are eager to enjoy the outdoors while participating in a spirited match.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0212", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000380909.jpg", + "context": "In a vibrant scene featuring a colander, a young boy is captured eating cereal from a bowl at a table, fully engrossed in his meal. Nearby, a child with curly hair is seen with a spoon in hand, gazing down at a bowl, while another child enjoys a cup, adding a lively mix to the moment. These delightful snapshots showcase the simple joy of eating, underscoring the everyday experiences of children.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0259", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000165986.jpg", + "context": "In the image, a snowboard can be seen beside a man in a patterned jacket standing on a picturesque ski slope. This young man, poised at the top of a snowy hill, takes in the stunning surroundings, with a ski lift and trees visible nearby. His presence against the backdrop of the snow-covered landscape highlights the thrill of winter sports.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0390", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000423749.jpg", + "context": "In a fascinating display at the museum, a surfboard takes center stage, showcasing the vibrant surf culture. Photo enthusiasts will also appreciate the collection of historical aircraft nearby, particularly an old silver war plane parked in the expansive hangar. Visitors can explore various exhibits, including an old airplane displayed alongside captivating artifacts from aviation history.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0357", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000146785.jpg", + "context": "In a lively park scene, a picnic mat sprawls across the grass as a red frisbee zips through the air, seemingly thrown by a man nearby. The playful atmosphere is captured perfectly as the frisbee can be seen flying past a tree, showcasing the spirit of outdoor fun. However, it appears that the frisbee's adventurous trajectory may have led it to become stuck in a tree, drawing attention to the playful chaos of park activities.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0257", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000427615.jpg", + "context": "The image contains a doll, beautifully capturing the innocence and tranquility of childhood. Adjacent to this, a little girl is seen soundly asleep, her small hands clutching a stuffed bear, perfectly embodying the comfort such toys provide. As she lies on the sofa, her milk bottle rests beside her, highlighting the tender moments of rest that define early childhood.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0441", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000240463.jpg", + "context": "The image contains a sleigh, evoking a sense of nostalgia and holiday spirit. Accompanying this enchanting scene is a woman's fuzzy pocketbook with round wood handles, a small quilted bag resting on a pristine white blanket, and a charming hand-knitted purse made of yarn. These accessories add vibrant touches of color and texture, enhancing the overall festive atmosphere.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0045", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000120021.jpg", + "context": "In a captivating display, a motorcycle with a striking red seat is showcased, highlighting its bold design and craftsmanship. Image enthusiasts might note that the bike is prominently raised on a jack, drawing attention to its elaborate mechanics. Nearby, a shovel is also visible, hinting at ongoing maintenance or modifications taking place in the garage setting.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0389", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000543520.jpg", + "context": "In the image, a man in a green shirt stands proudly beside a beautifully decorated cake, complete with a single glowing candle. This intimate gathering sparks curiosity, as a friend nearby looks bewildered at the simplicity of having just one candle on the cake. To add to the charm of the scene, a flourishing potted plant sits nearby, enhancing the festive atmosphere.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0087", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000477273.jpg", + "context": "In a vibrant display of fresh produce, there is a basket prominently featured in the image, filled with an assortment of fruits and vegetables. A pile of assorted fruits and vegetables sits on a counter, while a bag full of an assortment of vegetables and some eggs complements the visually appealing scene. Many vegetables and fruits are stacked thoughtfully alongside a carton of eggs, emphasizing the bounty of nature's harvest.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0285", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000185089.jpg", + "context": "In the image, a plastic bag lies on the ground, contrasting with the serene scene around it. A woman walks gracefully in the grass, holding an umbrella, while a girl stands next to a white brick wall, both adding a touch of vibrancy to the backdrop. As another woman strolls by a patch of grass alongside a house, the juxtaposition of natural elements and urban structures creates a captivating visual narrative.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0221", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000124279.jpg", + "context": "In a collaborative workspace, a radio sits prominently amidst two men who are seated at a brown table, both focused on their laptops. As they continue to work on their project, the atmosphere is lively, highlighted by the presence of newspapers and glasses scattered around. The image captures a moment of teamwork and dedication, showcasing the dynamic environment of modern work life.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0269", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000065668.jpg", + "context": "In a vibrant farmers market, a juicer sits prominently among an array of fresh produce. Surrounding the juicer are tables filled with various vegetables, showcasing an enticing assortment for health-conscious shoppers. The atmosphere is lively, with a number of people exploring the market, drawn to the colorful displays of fresh vegetables piled high on the tables.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0492", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000172940.jpg", + "context": "The image features a remote control, emphasizing the modern conveniences that enhance our living spaces. A living room filled with furniture and adorned with a stone fireplace creates an inviting atmosphere, complete with a large living area that showcases various decorations. This panoramic view of a cozy cabin highlights not only the rustic charm of a well-furnished room but also underscores the comfort provided by essential elements like couches and rugs.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0231", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000110211.jpg", + "context": "In a vibrant display of wildlife, a rhino can be seen in the image, mingling in the grasslands of Africa. This picturesque scene captures a herd of zebras walking across a sunlit field, sharing their habitat with feral hogs. As zebras and wild pigs coexist in this expansive area, the beauty of nature unfolds in harmony.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0175", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000180971.jpg", + "context": "In the image, a drawer is prominently displayed, offering a glimpse into the functionality and design of the bedroom space. Closeup views highlight the corner of a meticulously made bed, which features white boards, sheets, and pillows, alongside a wooden frame that adds a touch of elegance to the room. This setting, complete with a nightstand, perfectly captures the essence of home comfort and style.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0105", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000439938.jpg", + "context": "In a bustling scene, a leash is prominently featured as a large crowd walk along the busy sidewalk, showcasing the vibrant atmosphere of the area. Surrounding the leash, a variety of people, some holding surfboards, are seen navigating the street, while others pass by a stop sign. This dynamic environment highlights the lively community involved in outdoor activities.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0004", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000238210.jpg", + "context": "In a vibrant scene captured in the photo, there is a bat prominently displayed, setting the stage for America's favorite pastime. A man wearing a hat and glove prepares for action, illustrating the excitement of a baseball game. Alongside him, a player in a Wildcats uniform stands ready, showcasing his mitt while holding a baseball, embodying the spirit of teamwork and competition on the field.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0157", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000177837.jpg", + "context": "In a cozy yet chaotic bedroom scene, a pillow takes center stage against the backdrop of an unmade king bed draped in white linen. The bed's blankets are pulled down, revealing a stuffed animal nestled among the disarray. Nearby, a towel artfully twisted into the shape of a cobra adds an unexpected touch to the room.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0345", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000476426.jpg", + "context": "In a vibrant scene filled with energy, a bucket can be seen amidst the excitement of a rugby match on a sprawling field. A group of players, including men, surround a teammate who is leaping into the air for the ball, showcasing the intensity of the game. Spectators observe eagerly, adding to the lively atmosphere as several players engage in competitive play.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0076", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000099810.jpg", + "context": "The image features a napkin alongside a delighted young boy enjoying donut holes at a dinner table. With a broad smile, he revels in the sweet treats, displaying sheer enthusiasm as he indulges from a blue plate. This moment captures the joy of simple desserts and the innocent pleasure of childhood.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0488", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000409099.jpg", + "context": "In the photo, a smartphone is prominently displayed alongside a delectable bundt cake, creating a delightful contrast between technology and culinary art. A still life of fresh fruit complements the scene, featuring a bowl filled with vibrant bananas, oranges, and apples. This inviting setup showcases not only the delicious dessert but also the perfect ambiance for a cozy kitchen gathering.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0469", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000129100.jpg", + "context": "There is a sheep in the image, contrasting with the lush green field where a brown and white cow stands. Alongside the cow, cyclists can be seen passing by, enjoying their ride amidst the picturesque landscape filled with grazing animals. In this tranquil setting, the harmonious coexistence of nature and human activity is beautifully illustrated.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0290", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000209835.jpg", + "context": "A handbag is prominently featured in the image, drawing attention to the vibrant scene of travelers surrounded by their belongings. A woman can be seen looking down at a set of luggage beside her, while others sit on large quantities of tied-together suitcases and bags along the street. This gathering highlights the shared experience of travel, with a few girls among a row of suitcases and four individuals perched atop their luggage outside, illustrating the complexities and camaraderie of journeying together.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0223", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000143769.jpg", + "context": "In the image, a wheelbarrow sits prominently, adding a touch of rural charm to the scene. Nearby, a brown miniature pony stands next to a wooden fence, its long tail swaying gently in the breeze. This small, hairy horse, along with its bushy mane, embodies the quintessential characteristics of ponies, often seen grazing in serene settings.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0029", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000238989.jpg", + "context": "The image contains a mango, adding a vibrant splash of color to the assortment of fruits. A banana leans against a lemon, whose end has been sliced off, resting in front of a spaghetti squash. Nearby, half-cut lemon, melon, and banana create a fresh and inviting scene on the table.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0140", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000175942.jpg", + "context": "In the stunning image, a floatplane glides gracefully above a moderately trafficked highway, creating a captivating contrast between sky and land. Below it, vehicles can be seen moving alongside a body of water, enhancing the scene's dynamic beauty. As the plane flies overhead, it highlights the intersection of air travel and everyday life, with the freeway bustling underneath.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0325", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000149961.jpg", + "context": "In a captivating urban scene, a taxi navigates through a rain-soaked street as pedestrians carry umbrellas to shield themselves from the downpour. The photo captures a busy downtown area, where a diverse array of people walk deliberately, weaving through the wet pavement. Nearby, a man observes from shelter, taking in the vibrant yet serene atmosphere of the city enveloped by rain.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0022", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000408143.jpg", + "context": "In the image, a striking crystal stone captures the eye, nestled among other intriguing elements. A glass vase, partially filled with a cloudy liquid, sits prominently on the table, alongside a vibrant mushroom. The milky residue at the bottom of the vase adds an air of mystery to the scene, enhancing the curiosity surrounding the composition.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + }, + { + "id": "0326", + "input": { + "image_file": "./data/image/comprehension/Object_Hallucination_Detection/images/000000257729.jpg", + "context": "In a vibrant kitchen scene, a spatula is prominently featured alongside a variety of cooking oils. Among them is a bottle of olive oil resting on the counter, while another bottle with Asian lettering stands out, adding to the international assortment. This image captures not only the essentials for culinary endeavors but also highlights the diversity of cooking products, including a notable Korean cooking oil.", + "prompt": "Based on the image, there is an object hallucination in the following context. Please output the original item where the hallucination occurs." + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/PillAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/PillAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b89ff8470a02c7cce528c9a33acf3f267bfe16e2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/PillAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "pill anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "81", + "input": { + "image_file": "81.png", + "prompt": "Detect the anomaly region of the pill" + } + }, + { + "id": "77", + "input": { + "image_file": "77.png", + "prompt": "Detect the anomaly region of the pill" + } + }, + { + "id": "41", + "input": { + "image_file": "41.png", + "prompt": "Detect the anomaly region of the pill" + } + }, + { + "id": "9", + "input": { + "image_file": "9.png", + "prompt": "Detect the anomaly region of the pill" + } + }, + { + "id": "24", + "input": { + "image_file": "24.png", + "prompt": "Detect the anomaly region of the pill" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Pose_and_Activity_Consistency_Verification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Pose_and_Activity_Consistency_Verification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a4e42c096764fbea81c08dd2816c307c46d10a37 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Pose_and_Activity_Consistency_Verification/annotation.json @@ -0,0 +1,351 @@ +{ + "set_type": "closeset", + "task": "Pose_and_Activity_Consistency_Verification", + "data_source": "cuhk03", + "type": "comprehension", + "modality": { + "in": [ + "image_list", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Multi-image Visual Question Answering", + "domain": "General", + "general_capability": "Action Affective Analysis", + "version": "1.0", + "data": [ + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_531_2_10.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_531_1_03.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0498" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/3_014_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/3_025_1_03.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0194" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_770_2_06.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_770_1_03.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0404" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_312_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_312_1_03.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0343" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_363_1_03.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_363_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0431" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/5_006_1_05.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/5_006_2_07.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0369" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/5_011_1_02.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_080_1_05.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0077" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_112_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_112_1_04.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0377" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_215_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/4_015_2_07.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0196" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_433_2_06.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_433_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0429" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_261_2_09.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_545_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0086" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_836_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_787_2_06.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0014" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_499_2_07.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_499_1_02.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0323" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_200_1_05.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/3_024_2_07.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0164" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_781_1_02.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_781_1_01.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0274" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_295_2_06.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_462_1_04.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0186" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_276_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_276_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0465" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/5_011_1_03.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_022_1_04.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0079" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_815_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_395_1_02.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0232" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_841_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_568_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0065" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_493_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_493_2_10.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0348" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_072_1_05.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_072_1_04.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0260" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/3_036_1_05.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_411_2_09.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0235" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_527_1_03.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_206_2_07.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0055" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_057_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_057_2_10.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0408" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_042_2_09.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_310_2_08.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0176" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_294_2_08.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_294_1_02.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0395" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_357_1_02.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/1_748_1_04.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0119" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_384_1_01.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_384_2_10.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0263" + }, + { + "input": { + "image_files": [ + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_354_2_06.png", + "data/image/comprehension/Pose_and_Activity_Consistency_Verification/cuhk03/images/2_354_1_05.png" + ], + "question": "Do these two photos show the same person performing the same action?", + "prompt": "Compare the two images to determine if they show the same person performing the same action. Return 'yes' if they show the same person and the same action, otherwise return 'no'." + }, + "id": "0356" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/PropertyCoherenceReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/PropertyCoherenceReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..12ab9d8d2c67fa04cde009102d52ba5e9b634ada --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/PropertyCoherenceReasoning/annotation.json @@ -0,0 +1,261 @@ +{ + "set_type": "closeset", + "task": "Property Coherence Reasoning", + "data_source": "MIT-States_PropertyCoherence", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0089", + "input": { + "image_file": [ + "0089_0.jpg", + "0089_1.jpg", + "0089_2.jpg", + "0089_3.jpg" + ], + "prompt": "Are these four images of the same kind? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0381", + "input": { + "image_file": [ + "0381_0.jpg", + "0381_1.jpg" + ], + "prompt": "Q:What is the word that the two images underneath show as opposite? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0282", + "input": { + "image_file": [ + "0282_0.jpg", + "0282_1.jpg" + ], + "prompt": "Q:What is the opposite adjective that the two pictures below depict? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0330", + "input": { + "image_file": [ + "0330_0.jpg", + "0330_1.jpg" + ], + "prompt": "Q:What is the adjective that the two images below present as opposite? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0454", + "input": { + "image_file": [ + "0454_0.jpg", + "0454_1.jpg" + ], + "prompt": "Do these two images that are similar share the same adjective? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0086", + "input": { + "image_file": [ + "0086_0.jpg", + "0086_1.jpg", + "0086_2.jpg", + "0086_3.jpg" + ], + "prompt": "Do these four images share the same class? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0028", + "input": { + "image_file": [ + "0028_0.jpg", + "0028_1.jpg", + "0028_2.jpg", + "0028_3.jpg" + ], + "prompt": "Are the following four images of the same class? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0144", + "input": { + "image_file": [ + "0144_0.jpg", + "0144_1.jpg", + "0144_2.jpg", + "0144_3.jpg" + ], + "prompt": "Do the four images underneath have the same type? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0062", + "input": { + "image_file": [ + "0062_0.jpg", + "0062_1.jpg", + "0062_2.jpg", + "0062_3.jpg" + ], + "prompt": "Do these four images share the same class? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0284", + "input": { + "image_file": [ + "0284_0.jpg", + "0284_1.jpg" + ], + "prompt": "Q:What is the word that the following two images show as opposite? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0032", + "input": { + "image_file": [ + "0032_0.jpg", + "0032_1.jpg", + "0032_2.jpg", + "0032_3.jpg" + ], + "prompt": "Are the following four images of the same class? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0056", + "input": { + "image_file": [ + "0056_0.jpg", + "0056_1.jpg", + "0056_2.jpg", + "0056_3.jpg" + ], + "prompt": "Do these four images share the same class? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0364", + "input": { + "image_file": [ + "0364_0.jpg", + "0364_1.jpg" + ], + "prompt": "Q:What is the opposite adjective that the two pictures below depict? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg", + "0080_2.jpg", + "0080_3.jpg" + ], + "prompt": "Do the following four images belong to the same category? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0156", + "input": { + "image_file": [ + "0156_0.jpg", + "0156_1.jpg", + "0156_2.jpg", + "0156_3.jpg" + ], + "prompt": "Are these four pictures of the same sort? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0034", + "input": { + "image_file": [ + "0034_0.jpg", + "0034_1.jpg", + "0034_2.jpg", + "0034_3.jpg" + ], + "prompt": "Do the following four images belong to the same category? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0410", + "input": { + "image_file": [ + "0410_0.jpg", + "0410_1.jpg" + ], + "prompt": "Q:What do the following two pictures describe as opposite? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0235", + "input": { + "image_file": [ + "0235_0.jpg", + "0235_1.jpg" + ], + "prompt": "Do the following two similar images have the same adjective? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + }, + { + "id": "0274", + "input": { + "image_file": [ + "0274_0.jpg", + "0274_1.jpg" + ], + "prompt": "Q:What do the following two pictures describe as opposite? You must choose your answer from the Choice List. Choice list:['painted', 'ripe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0234", + "input": { + "image_file": [ + "0234_0.jpg", + "0234_1.jpg" + ], + "prompt": "Do these two images that are similar share the same adjective? You must choose your answer from the Choice List. Choice list:['True', 'False']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/RaccoonDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/RaccoonDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2352211f803bb362a4f3411deb556e5f05427fe6 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/RaccoonDetection/annotation.json @@ -0,0 +1,124 @@ +{ + "task": "Raccoon Detection", + "data_source": "https://tianchi.aliyun.com/dataset/90110", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "boxes" + ] + }, + "skill": "Object Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "bbox_format": "(x_min, y_min, width, height)" + }, + "data": [ + { + "input": { + "image_file": "raccoon-39_jpg.rf.b30d4f181a89b2778d062a13e4e8aa2b.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0138" + }, + { + "input": { + "image_file": "raccoon-64_jpg.rf.4a79cb7e4b71962bc6e7c9ea3f6156ee.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0052" + }, + { + "input": { + "image_file": "raccoon-56_jpg.rf.46683fa7d560f2521b1f5d30fcbd17f1.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0050" + }, + { + "input": { + "image_file": "raccoon-4_jpg.rf.157762fc04889a97d792c10d3e7cd29f.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0005" + }, + { + "input": { + "image_file": "raccoon-2_jpg.rf.2b42d2032b92e9f90cc14b64f66dae91.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0041" + }, + { + "input": { + "image_file": "raccoon-55_jpg.rf.4affe93039e25c6f4f3ce7b809fbf714.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0057" + }, + { + "input": { + "image_file": "raccoon-42_jpg.rf.484faf323a63ab647442637ee25740eb.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0051" + }, + { + "input": { + "image_file": "raccoon-92_jpg.rf.2d1de926e39807659610ca72af04cbe7.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0030" + }, + { + "input": { + "image_file": "raccoon-195_jpg.rf.3a57536c8e66897d8bb4fa1d01eed013.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0034" + }, + { + "input": { + "image_file": "raccoon-152_jpg.rf.3dde4be8d1ac718933f20b917db894f4.jpg", + "prompt": "Detect the raccoon in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "rd_0049" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Radar_Ship_Detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Radar_Ship_Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6178b3d093965adfa2cdb248f254b66053574b66 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Radar_Ship_Detection/annotation.json @@ -0,0 +1,101 @@ +{ + "set_type": "closeset", + "task": "Radar_Ship_Detection", + "data_source": "https://www.kaggle.com/datasets/kailaspsudheer/sarscope-unveiling-the-maritime-landscape/data", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "data": [ + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0011_600_1400_8189_8989_png.rf.4b642a6274a3991d048d41a2f4e4eea5.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0202" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/000425_jpg.rf.6da1f18876aa1136560283e5d05ef9ce.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0308" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0079_1800_2600_6500_7300_png.rf.f0f62e37aa1bc2b2416cbecc743b0f90.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0629" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0070_3000_3800_2400_3200_png.rf.5665332b0950b194d205b5da3f819294.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0236" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0135_600_1400_9600_10400_png.rf.3d376eeef6f6e0aa357efe94af6f89a1.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0157" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0037_600_1400_3600_4400_png.rf.777073fa2b89d794ee189b36e7dc35ba.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0329" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0082_1800_2600_1200_2000_png.rf.d8533803dd694faa5ff1df514acc0739.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0561" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0031_1200_2000_4200_5000_png.rf.795b96c91455c8091e9e3024f0263769.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0334" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0096_3000_3800_1800_2600_png.rf.83027aefc307e7fe765e3c6a8585ea16.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0350" + }, + { + "input": { + "image_file": "./data/image/comprehension/Radar_Ship_Detection/images/P0028_5810_6610_6000_6800_png.rf.a799531ff66a26668142b30acaf0b8f2.jpg", + "prompt": "Analyze the radar image and detect any ships present. Provide the coordinates of the bounding box around each detected ship.", + "instruction": "Detect and localize ships in radar images." + }, + "id": "0445" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/RecipeCompletion/annotation.json b/Scope-A/S-A-Quick/image/comprehension/RecipeCompletion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ac0c76798b2add1f4e4d4cb929c2b80de842368 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/RecipeCompletion/annotation.json @@ -0,0 +1,327 @@ +{ + "set_type": "closeset", + "task": "Recipe Completion", + "data_source": "RecipeQA_TextCloze", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0361", + "input": { + "image_file": [ + "0361_0.jpg", + "0361_1.jpg", + "0361_2.jpg", + "0361_3.jpg", + "0361_4.jpg", + "0361_5.jpg", + "0361_6.jpg" + ], + "prompt": "Given a recipe tutorial integrated with text and images, your task is to carefully study it and select the optimal text for the missing blank, thus correctly finalizing the recipe summary. You must choose your answer from the Choice List. Recipe: vacuum-sealing-dehydrated-food-in-mylar\nDetails: Step#1: You will need an iron, a flat metal bar (I used a level) a vacuum, Mylar bags and the food to be packaged. \nStep#2: I'm using Mylar bags I ordered off Amazon. \nStep#3: My bags arrived with a package of O2 absorbers. \nStep#4: I seal the bags as far across as I can and still have space for the crevice tool of the vacuum to fit. \nStep#5: Insert the crevice tool into the opening you left. \nStep#6: Then, at an angle to the first seal and leaving the vacuum on, make another seal that crosses the first. \nStep#7: This way, I have two seals crossing two other seals with most of the air evacuated and an absorber inside. \nRecipe Summary: 'Seal the Bags Most of the Way Across', 'Vacuum Out the Air', 'Second Seal', 'UNKNOWN'Choice list:['Springbok in the Sahara', 'Result', 'Garnish and Serve', 'Pisang Goreng (Fried Banana)']. Your answer is:" + }, + "output": {} + }, + { + "id": "0087", + "input": { + "image_file": [ + "0087_0.jpg", + "0087_1.jpg", + "0087_2.jpg", + "0087_3.jpg", + "0087_4.jpg" + ], + "prompt": "Presented with an image-text combined recipe tutorial, your duty is to analyze it thoroughly and select the most apt text to fill in the missing blank, thereby accurately concluding the recipe summary. You must choose your answer from the Choice List. Recipe: the-veg-biryani\nDetails: Step#1: 2 cups Seeraga Samba rice\n4 cups water\n3 large red onions\n2 tbsp white poppy seeds (soaked in water for 15 minutes)\n1/2 cup tomato puree\n1 cup of chopped, mixed vegetables (carrot, peas, beans and capsicum)\n4 green chillies\n1 tsp Ginger garlic paste\n4 cloves\n2 bay leaves\n1 cinnamon stick\n2 crushed green cardamom\n1 strand of mace\n2 tbsp yogurt\n1 tsp Turmeric\n4 tbsp Ghee (clarified butter)\n1 tsp Biryani masala (store bought)\nfresh chopped cilantro\nfresh chopped mint\nand the most important as always [Salt]. \nStep#2: Grind the soaked poppy seeds along with 1 large onion into fine paste. \nStep#3: Now add yogurt and let the yogurt also separate oil out of it. \nStep#4: This can be prepared in a rice cooker too. \nStep#5: The dish is ready to eat now. \nRecipe Summary: 'UNKNOWN', 'Lets Start', 'Lets Cook', 'Steam It'Choice list:['Pretentious the Clown', 'Lets Crack Some Eggs', 'Note This Down, Dont Miss a Single', 'Lets Get Cooking!!']. Your answer is:" + }, + "output": {} + }, + { + "id": "0207", + "input": { + "image_file": [ + "0207_0.jpg", + "0207_1.jpg", + "0207_2.jpg", + "0207_3.jpg", + "0207_4.jpg", + "0207_5.jpg" + ], + "prompt": "Using a recipe tutorial interleaved with text and images, your responsibility is to examine it carefully and choose the best-suited text to fill the void, effectively completing the recipe summary. You must choose your answer from the Choice List. Recipe: ugly-drum-smoker-uds-how-to-and-faq\nDetails: Step#1: Q: An ugly drum smoker?\u00a0 Really? A: Yes, really. \nStep#2: Q: How does a UDS work? A: To get the most out of your UDS you should understand how it works so you can make adjustments. \nStep#3: Q: What kind of fuel should I use in my UDS? A: We're going to ignore gas and electric smokers and focus on charcoal. \nStep#4: \n See my Instructable for building your own UDS for an example of making your own UDS. \nRecipe Summary: 'Ugly Drum Smoker (UDS) FAQ, General Questions', 'UNKNOWN', 'Ugly Drum Smoker (UDS) FAQ; How to Cook With a UDS', 'DIY Ugly Drum Smoker (UDS) FAQ; Build Your Own UDS'Choice list:['Ugly Drum Smoker (UDS) FAQ, How Does It Work?', 'Making of a Drum Smoker', 'Processing the Ingredients', 'Equipment and Ingredients']. Your answer is:" + }, + "output": {} + }, + { + "id": "0326", + "input": { + "image_file": [ + "0326_0.jpg", + "0326_1.jpg", + "0326_2.jpg", + "0326_3.jpg", + "0326_4.jpg", + "0326_5.jpg", + "0326_6.jpg" + ], + "prompt": "Using a recipe tutorial comprised of alternating text and images, your task is to scrutinize it and select the most suitable wording to fill in the blank space, thereby accurately finalizing the recipe summary. You must choose your answer from the Choice List. Recipe: imaginary-pie\nDetails: Step#1: For Shortbread:\u00a0\n1 1/2 cups white flour\n1/2 cup sugar\n9 Tbs butter\nFor Jello:\u00a0\n3oz package of raspberry jello (or jello of choice) - the jello should make about 2 cups\n1 cup boiling water\n1 cup cold water\n1/2 cup to 1 cup frozen berries (set out to thaw)\nExtras:\u00a0\nPizzelle cookies, or similar delicate cookie\nwhip cream\nNotes:\u00a0\nSince jello needs a mold, make sure that whatever container you use is the same approximate diameter as the area you wish to fill. \nStep#2: 1. \nStep#3: - Jello package instructions may differ. \nStep#4: 1. \nRecipe Summary: 'UNKNOWN', 'Make the Shortbread', 'Make Jello Filling', 'Combine!'Choice list:['Ingredients and Some Notes', 'Bambi Pie', 'The Pie Filling', 'Cutting']. Your answer is:" + }, + "output": {} + }, + { + "id": "0075", + "input": { + "image_file": [ + "0075_0.jpg", + "0075_1.jpg", + "0075_2.jpg", + "0075_3.jpg", + "0075_4.jpg" + ], + "prompt": "Presented with a recipe tutorial interwoven with text and images, your task is to scrutinize it carefully and select the most suitable text to fill in the missing blank, thereby accurately completing the recipe summary. You must choose your answer from the Choice List. Recipe: easy-cakes-and-pies\nDetails: Step#1: Needed:1 1/2 to 2 - cups cookies or crackers (We get the cheapest we can get). \nStep#2: Ingredients:2 - 8 ounce packages. \nStep#3: Ingredients:1 - package drained and squeezed spinach 2 - room temperature eggs. \nStep#4: Ingredients:Filling: 1 - 8 ounce cream cheese packet. \nStep#5: Ingredients:1 - packages instant pudding. \nRecipe Summary: 'Crust.', 'Cooked Savory Pie.', 'Refrigerator Pie 1.', 'UNKNOWN'Choice list:['Easy Henna Cupcakes', 'Cover and Bake It', 'a', 'Refrigerator Pie 2.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0131", + "input": { + "image_file": [ + "0131_0.jpg", + "0131_1.jpg", + "0131_2.jpg", + "0131_3.jpg", + "0131_4.jpg", + "0131_5.jpg" + ], + "prompt": "Given a recipe guide interspersed with text and images, your responsibility is to meticulously review it and choose the best fitting text to complete the missing section, ensuring the recipe summary is correct. You must choose your answer from the Choice List. Recipe: make-eggrolls-or-wontons-on-your-foreman-grill-sa\nDetails: Step#1: We bought an order of chow mein at Panda Express and fried up some cabbage, sausage, mushrooms and bean sprouts and a can of water chestnuts together on the stove. \nStep#2: We dip our wraps in a dish of egg. \nStep#3: Spray the grill with non-stick cooking spray and place the egg roll wrap on your grill and fill it with 1/4 to 1/2 cup of your choice filling. \nStep#4: Here is what the triangular sandwich grills produce. \nStep#5: This is the Foreman type grill. \nStep#6: Here's a pic of the instructions for folding the wrappers when frying them on the Foreman type grill. \nRecipe Summary: 'The Ingredients', 'Stuffing the Wrap', 'UNKNOWN', 'Try Some Different Grills and Stuffings, Make Fresh'Choice list:['Tabouli Rider Sandwich', '[Collegiate Meals] Bachelor Tunasalad Sandwich', 'Get Materials', 'Triangular Grills']. Your answer is:" + }, + "output": {} + }, + { + "id": "0199", + "input": { + "image_file": [ + "0199_0.jpg", + "0199_1.jpg", + "0199_2.jpg", + "0199_3.jpg", + "0199_4.jpg", + "0199_5.jpg" + ], + "prompt": "Provided with a recipe tutorial intermingled with images and text, your role is to closely inspect it and choose the best text to fill in the blank, thereby correctly completing the recipe overview. You must choose your answer from the Choice List. Recipe: rice-flour-balls-with-chocolate\nDetails: Step#1: 200g glutinous rice flourwater50g chocolate50g raspberries+ coconut flour, sugar or cocoa(20 balls). \nStep#2: 1. \nStep#3: 2. \nStep#4: 4. \nStep#5: 5. \nRecipe Summary: 'INGREDIENTS', 'UNKNOWN', 'STUFFED BALLS', 'SERVE'Choice list:['Chocolate Banana Bread Snack Balls', 'Ingredients', 'Get Down to Bidnuz', 'DOUGHT']. Your answer is:" + }, + "output": {} + }, + { + "id": "0311", + "input": { + "image_file": [ + "0311_0.jpg", + "0311_1.jpg", + "0311_2.jpg", + "0311_3.jpg", + "0311_4.jpg", + "0311_5.jpg", + "0311_6.jpg" + ], + "prompt": "Upon receiving an image-text interleaved recipe tutorial, your job is to examine it attentively and pick the most appropriate text to fill in the missing gap, effectively completing the recipe summary. You must choose your answer from the Choice List. Recipe: pizza-from-down-under\nDetails: Step#1: Tip #1\u00a0 Egg on pizza is different. \nStep#2: Tip #2 Use a pizza stone to get your base extra crispy. \nStep#3: Place pizza in oven preheated to 375F and begin to bake. \nStep#4: Now place egg in shallow dish and gently and carefully add onto top of the pizza trying not to break the yolk. \nStep#5: Now turn the oven up to 475F and let it bake until whites of egg are fully cooked, leave the yolk runny!\u00a0 While pizza is baking, heat a small pot on stove and add in about 4 tablespoons of balsamic vinegar and bring it to a frantic bubble!\u00a0 Stir until amount has reduced by about half. \nStep#6: Suggestions: Serve with a nice Merlot to compliment the marinara. \nRecipe Summary: 'Prep Toppings', 'Sift the Egg....', 'UNKNOWN', 'To Make You Eggsperience More of a Delight!'Choice list:['Egg Balancing Act', 'Fruit Pizza From Scratch', 'Affordable Date Night', 'Remove From Stove and Serve']. Your answer is:" + }, + "output": {} + }, + { + "id": "0040", + "input": { + "image_file": [ + "0040_0.jpg", + "0040_1.jpg", + "0040_2.jpg", + "0040_3.jpg", + "0040_4.jpg" + ], + "prompt": "Provided with a recipe tutorial intermingled with images and text, your role is to closely inspect it and choose the best text to fill in the blank, thereby correctly completing the recipe overview. You must choose your answer from the Choice List. Recipe: rolling-thunder-beetroot-chocolate-cake\nDetails: Step#1: The ingredients are as follows:4 peeled and cooked beetroot 4 eggs 4 tbsp honey 1 tsp vanilla extract 1 tbsp cocoa powder 1 tsp gluten free baking powder Pinch of salt 125g ground almonds 125g dark chocolate 4 tbsp olive oil 30g white chocolate 4 physalis----------------------------------------------------Cook for 20-25 minutes at 180 degrees c----------------------------------------------------For detailed written instructions click through the steps at the foot of this text. \nStep#2: Take 4 peeled and cooked beetroot. \nStep#3: Pour the pur\u00e9ed beetroot into a bowl Add 4 eggsWhisk eggs until mixed into pur\u00e9ed beetroot Add 4 teaspoons of honey Add 1 teaspoon of vanilla extract and mix againAdd 1 tablespoon of cocoa powder Add a pinch of salt and 1 teaspoon of baking powder and mix againFold 125g of ground almonds into the mixture. \nStep#4: In a separate bowl, add 125g of dark chocolate and meltThis can be done by sitting a heatproof bowl containing the chocolate over a pan of barely simmering water (a bain marie) and allow the chocolate to melt, stirring occasionally. \nStep#5: Line four 10cm cake tins with baking parchmentAdd mix to all four tins (should fill two thirds of depth) Cook for 20-25 minutes at 180 degrees c (when cooked you should be able to put a metal skewer into the centre of the cake and remove it without leaving a thick trace of cake mix on the skewer)Once cooked allow to cool. \nStep#6: Cut a cylindrical hole in the cakesMelt 30g of white chocolate. \nRecipe Summary: 'UNKNOWN', 'Mix the Core Ingredients', 'Add the Dark Chocolate', 'Cook the Cakes'Choice list:['The Hunger Games', 'Mixing Ingridents', 'Cooking Utensils / Ingridents', 'Click Play...']. Your answer is:" + }, + "output": {} + }, + { + "id": "0441", + "input": { + "image_file": [ + "0441_0.jpg", + "0441_1.jpg", + "0441_2.jpg", + "0441_3.jpg", + "0441_4.jpg", + "0441_5.jpg", + "0441_6.jpg", + "0441_7.jpg" + ], + "prompt": "Presented with an image-text combined recipe tutorial, your duty is to analyze it thoroughly and select the most apt text to fill in the missing blank, thereby accurately concluding the recipe summary. You must choose your answer from the Choice List. Recipe: braised-chicken-one-pot-meal\nDetails: Step#1: Required Ingredients:Heavy skillet with lid Utensils for peeling and stirring A source of heat Chicken thigh/leg - 2 Potatoes - 2 Carrots - 2 Onions - 1 Garlic - 1 clove Baby Bella Mushrooms - At least 2 and more if you prefer Salt - Pepper - Paprika - No fixed amounts - set to your tastes Liquid - 1 1/3 cup Either packaged chicken stock or water with 1 dissolved chicken bouillion cube Olive Oil - 2 Tablespoons - add more if needed Flour - 1 Tablespoon Thyme - 1/2 Teaspoon (oops-rosemary in pic). \nStep#2: Trim any excess fat and remove the skin if you wish. \nStep#3: Add the olive oil to the just over medium hot skillet. \nStep#4: You may add a bit more olive oil at this point if you feel the saute will need it. \nStep#5: When the saute is complete, add the peeled and cut to medium sized bites of potato and carrot and cook until they soften, about 5 to 7 minutes. \nStep#6: Add your flour to the pan and stir the veggies until they are covered in the flour and no dry flour is visible. \nStep#7: Return the browned chicken, along with any drippings, to the skillet and nestle the chicken down into the sauce and veggies so that nothing is under the chicken except sauce. \nStep#8: Bring the sauce to a gentle boil, cover the skillet, reduce the heat and simmer for 30 minutes. \nRecipe Summary: 'Ingredients Required', 'Browning the Chicken', 'UNKNOWN', 'Cover and Simmer'Choice list:['One Pot Chicken Tetrazzini', 'Vintage Biscuit Chicken Pot Pie', 'Add the Vegetables', 'Make Your Pie Crust From This Vintage Recipe']. Your answer is:" + }, + "output": {} + }, + { + "id": "0072", + "input": { + "image_file": [ + "0072_0.jpg", + "0072_1.jpg", + "0072_2.jpg", + "0072_3.jpg", + "0072_4.jpg" + ], + "prompt": "Using a recipe tutorial interleaved with text and images, your responsibility is to examine it carefully and choose the best-suited text to fill the void, effectively completing the recipe summary. You must choose your answer from the Choice List. Recipe: easy-bbq-chicken-pizza\nDetails: Step#1: Crust\u00bd cup lukewarm water1 pack Active Dry Yeast4 cups bread flour1 cup cold water2 tbsp olive oil1 tsp sugar2 tsp saltPizza1 chicken breast, butterflied\u00bd cup barbecue sauce, divided1 tsp salt\u00bd tsp black pepper1 cup shredded cheese (mozzarella, asiago, cheddar, jack, etc. \nStep#2: In a large bowl, add warm water, yeast, and \u00bd cup flour. \nStep#3: While the dough is rising, prepare the chicken. \nStep#4: Preheat oven to 500\u00b0F. \nStep#5: Bake 10 minutes. \nStep#6: Remove pizza from oven and top with avocado pieces and chopped cilantro. \nRecipe Summary: 'Ingredients', 'Chicken', 'UNKNOWN', 'Bake'Choice list:['Pizza', 'Easy Chicken Nuggets Mini Pizza', 'Healthy Chicken Pizza (chizza)', 'Ingredients']. Your answer is:" + }, + "output": {} + }, + { + "id": "0186", + "input": { + "image_file": [ + "0186_0.jpg", + "0186_1.jpg", + "0186_2.jpg", + "0186_3.jpg", + "0186_4.jpg", + "0186_5.jpg" + ], + "prompt": "Provided with a recipe tutorial intermingled with images and text, your role is to closely inspect it and choose the best text to fill in the blank, thereby correctly completing the recipe overview. You must choose your answer from the Choice List. Recipe: yummy-non-alcoholic-cucumber-cocktail-ina-mason-ja\nDetails: Step#1: 1) 4 slices if cucumber\n2) 1 can of sprite\n3) 1 teaspoon of syrup\n4) 1 oz. \nStep#2: Put all the ingredients into the mason jar and mush all the ingredients together. \nStep#3: Pour the cocktail in through the strainer and into the cup. \nStep#4: Decorate whichever way you want. \nRecipe Summary: 'Supplies', 'Mushing', 'Straining and Drinking', 'UNKNOWN'Choice list:['Iced Latte in a Mason Jar', 'Decorate!', 'Ready to Stuff', 'Hog Casings']. Your answer is:" + }, + "output": {} + }, + { + "id": "0286", + "input": { + "image_file": [ + "0286_0.jpg", + "0286_1.jpg", + "0286_2.jpg", + "0286_3.jpg", + "0286_4.jpg", + "0286_5.jpg", + "0286_6.jpg" + ], + "prompt": "Given a recipe tutorial integrated with text and images, your task is to carefully study it and select the optimal text for the missing blank, thus correctly finalizing the recipe summary. You must choose your answer from the Choice List. Recipe: darth-vader-buttercream-transfer-for-cakes\nDetails: Step#1: I created my stencil by searching for a Darth Vader Drawing and physically tracing the drawing off of my computer screen. \nStep#2: The smoothest method for tracing or precision piping (such as writing), is to keep the tip at least 1/4 inch above the surface. \nStep#3: Place the entire board with buttercream transfer into the freezer and allow to harden for fifteen minutes. \nStep#4: When the face is fully covered in black buttercream, also go over the white outline to make the entire surface of the transfer one height. \nStep#5: When the transfer is firm. \nRecipe Summary: 'Stencil', 'FIlling', 'Finishing', 'UNKNOWN'Choice list:['The Force', 'Katten Jansson Cake', 'Butter, Brown Sugar, Cinnamon, Granulated Sugar.', 'You're on a Roll!']. Your answer is:" + }, + "output": {} + }, + { + "id": "0172", + "input": { + "image_file": [ + "0172_0.jpg", + "0172_1.jpg", + "0172_2.jpg", + "0172_3.jpg", + "0172_4.jpg", + "0172_5.jpg" + ], + "prompt": "With an image-text blended recipe tutorial at hand, your job is to attentively examine it and select the most fitting text to complete the missing part, thereby correctly concluding the recipe summary. You must choose your answer from the Choice List. Recipe: eat-on-3-a-day\nDetails: Step#1: \n Due to travel restrictions, I have to leave Massachusetts on a train at midnight to catch a 6AM flight out of Providence, RI. \nStep#2: \n Yesterday I started brewing a batch of kombucha, and today I'm throwing a bunch of lentil seeds in a bucket with some water, and making sprouts. \nStep#3: \n So, after an fast and hard game of ice hockey, I started sleeping a lot more. \nStep#4: \n Up like a shot, at 10 AM! Only five hours of sleep needed, for me. \nStep#5: \n So, today is an exercise in how not to. \nStep#6: I get the heck out of Los Angeles, and try my luck in San Francisco, instead. \nStep#7: \n I spend this day hanging out in Berkeley/Oakland, and on Alameda, at Squid Labs. \nStep#8: \n Man, airports are quite possibly the worst place to get food that's good OR cheap. \nStep#9: \n I have been awake all night. \nStep#10: \n I could not possibly eat any more pizza, after yesterday. \nStep#11: \n My free living food has borne fruit!The sprouts are sending up green shoots, and the kombucha is sparkly and delicious, today!A handful of sprouts, and a glassful of kombucha, and some eggs, are the best way to start! I also juice a lime I picked in California into my water bottle. \nStep#12: Since my sprouts & kombucha blossomed, I am set for at least two weeks of low-cost/free eating. \nRecipe Summary: 'Day 3', 'Conference Food & Downtown San Francisco', 'UNKNOWN', 'Conclusion!'Choice list:['the East Bay', 'Eat a Sprouted Coconut', 'Squeeze and Poke', 'Let Them Dry While You Work on Canoes']. Your answer is:" + }, + "output": {} + }, + { + "id": "0410", + "input": { + "image_file": [ + "0410_0.jpg", + "0410_1.jpg", + "0410_2.jpg", + "0410_3.jpg", + "0410_4.jpg", + "0410_5.jpg", + "0410_6.jpg" + ], + "prompt": "Given a recipe tutorial integrated with text and images, your task is to carefully study it and select the optimal text for the missing blank, thus correctly finalizing the recipe summary. You must choose your answer from the Choice List. Recipe: oxtail-soup\nDetails: Step#1: 1 lb oxtail 1 cup carrots, chopped 1 cup celery, chopped 1 cup leek, chopped 1 cup red wine 4 cups water 1 sprig fresh thyme 1 sprig fresh rosemary 1 dried bay leaf 3 pinches sea salt 4 cranks of fresh ground pepper olive oil. \nStep#2: Preheat oven to 300\u00baFBring 2 tbsp olive oil to a medium heat in a dutch oven on the stove top. \nStep#3: Clean, peel, and chop carrots, celery, and leek and add to heated dutch oven and cook for 10-15 minutes until they all become tender. \nStep#4: While the carrots, celery, and leek are cooking, brown oxtail in 1 tbsp olive oil on a cast iron skillet (or dutch oven lid). \nStep#5: . \nStep#6: Place the lid on the dutch oven and move the dutch oven to the preheated oven. \nRecipe Summary: 'UNKNOWN', 'Prep and Cook', 'Brown Oxtail', 'heated Oven'Choice list:['Calabacitas Soup', 'Ingredients', 'Gather Your Ingredients', 'Boil Tortellini']. Your answer is:" + }, + "output": {} + }, + { + "id": "0476", + "input": { + "image_file": [ + "0476_0.jpg", + "0476_1.jpg", + "0476_2.jpg", + "0476_3.jpg", + "0476_4.jpg", + "0476_5.jpg", + "0476_6.jpg", + "0476_7.jpg" + ], + "prompt": "Provided with a recipe tutorial intermingled with images and text, your role is to closely inspect it and choose the best text to fill in the blank, thereby correctly completing the recipe overview. You must choose your answer from the Choice List. Recipe: homemade-magic-shell-recipe\nDetails: Step#1: \n There are two basic ingredients for this recipe:\n\t\tCoconut oil\n\t\tChocolate\nNaomi from The Accidental Vegan recommends 1 cup of coconut oil to\u00a0 1-2 cups of chocolate. \nStep#2: \nMelt the coconut oil over very low heat. \nStep#3: \nStore your topping in a jar or squeeze bottle. \nStep#4: \nOnce it's completely cooled, it's time to try it out. \nRecipe Summary: 'Ingredients', 'UNKNOWN', 'Jar It', 'Marvel at It'Choice list:['Homemade Quiche Recipe', 'Bake Bread', 'Egg Wash', 'Magic It!']. Your answer is:" + }, + "output": {} + }, + { + "id": "0043", + "input": { + "image_file": [ + "0043_0.jpg", + "0043_1.jpg", + "0043_2.jpg", + "0043_3.jpg", + "0043_4.jpg" + ], + "prompt": "With an image-text combined recipe tutorial at your disposal, your job is to thoroughly examine it and opt for the best text to fill the missing section, correctly rounding off the recipe summary. You must choose your answer from the Choice List. Recipe: how-to-make-buckwheat-tea-soba-tea\nDetails: Step#1: Here's what you'll need:10 grams of buckwheat tea. \nStep#2: Add 10 grams of buckwheat into an empty and clean glass teapot. \nStep#3: Add 500 ml of hot water into the Teasenz glass teapot and cover the teapot with the lid. \nStep#4: Let the buckwheat steep inside the teapot for 3 minutes to get the perfect infusion. \nStep#5: Once the steeping time has passed you can now pour the buckwheat tea into cups and enjoy! Delicious right? The good news is that you can steep the soba tea for another two sessions. \nRecipe Summary: 'What You'll Need for This Buckwheat Tea Recipe', 'UNKNOWN', 'Add Hot Water to Steep Buckwheat Tea', 'Wait for the Steeping Time to Pass'Choice list:['Add Buckwheat Into the Teapot', 'How to Make Matcha Tea', 'How to Make Nuka Cola', 'Mixing']. Your answer is:" + }, + "output": {} + }, + { + "id": "0435", + "input": { + "image_file": [ + "0435_0.jpg", + "0435_1.jpg", + "0435_2.jpg", + "0435_3.jpg", + "0435_4.jpg", + "0435_5.jpg", + "0435_6.jpg", + "0435_7.jpg" + ], + "prompt": "Given a recipe tutorial integrated with text and images, your task is to carefully study it and select the optimal text for the missing blank, thus correctly finalizing the recipe summary. You must choose your answer from the Choice List. Recipe: pani-pure-recipe\nDetails: Step#1: 24-30 puris ( you could buy these puris ready made)1 small bowl of tamarind chutney or tamarind dates chutney. \nStep#2: 2 to 3 medium potatoes1 small to medium onion1 to 1. \nStep#3: \u00bd cup chopped mint leaves\u00be cup chopped coriander leaves1 inch ginger, chopped1 green chili, chopped (for a spicy pani, add about 2 to 3 green chilies)1 tbsp seedless tamarind, tightly packed3 to 3. \nStep#4: Boil the potatoes till they are cooked completely. \nStep#5: In a blender add all the ingredients mentioned above for the pani. \nStep#6: Crack the top of the puri with a spoon. \nStep#7: All Indian Boy's and Girl's. \nRecipe Summary: 'UNKNOWN', 'For the Pani Recipe', 'INSTRUCTIONS Preparing the Stuffing', 'Method to Make the Pani'Choice list:['Recipe', 'For the Stuffing', 'Decorate', 'Render the Butter']. Your answer is:" + }, + "output": {} + }, + { + "id": "0118", + "input": { + "image_file": [ + "0118_0.jpg", + "0118_1.jpg", + "0118_2.jpg", + "0118_3.jpg", + "0118_4.jpg" + ], + "prompt": "With an image-text blended recipe tutorial at hand, your job is to attentively examine it and select the most fitting text to complete the missing part, thereby correctly concluding the recipe summary. You must choose your answer from the Choice List. Recipe: lazy-mans-slow-cooked-game-day-chili\nDetails: Step#1: This is going to be a very meaty chili (What can I say, Real men eat meat not salad. \nStep#2: Time to break out your chopper if you have one, if not time for your impression of the swedish\u00a0chief\u00a0and go to town on the\u00a0celery, onion, peppers and garlic. \nStep#3: Now that you've\u00a0browned\u00a0 the meat and chopped all the veggies its time to dump all of the ingredients into the slow cooker at the same time. \nStep#4: Ladle into bowls and serve topped with cilantro, shredded cheddar cheese, sour cream, and a side of tortilla chips. \nRecipe Summary: 'The Meat Man Cometh', 'UNKNOWN', 'Coming Down the Stretch', 'Bon Appetit!'Choice list:['Slow Cooked Chicken Biryani', 'Combine Ingredients and Start the Slow Cooking', 'Get to the Choppa', 'Add Grated Coconut and Salt']. Your answer is:" + }, + "output": {} + }, + { + "id": "0362", + "input": { + "image_file": [ + "0362_0.jpg", + "0362_1.jpg", + "0362_2.jpg", + "0362_3.jpg", + "0362_4.jpg", + "0362_5.jpg", + "0362_6.jpg" + ], + "prompt": "Given a recipe guide interspersed with text and images, your responsibility is to meticulously review it and choose the best fitting text to complete the missing section, ensuring the recipe summary is correct. You must choose your answer from the Choice List. Recipe: florida-boiled-peanuts\nDetails: Step#1: For this, the ingredients are simple. \nStep#2: For folks not in the southern United States, green peanuts are very difficult (or impossible) to find. \nStep#3: Peanuts grow from the ground, therefore they're, well. \nStep#4: Boiled peanuts require time. \nStep#5: After your labor of love comes the very best step, the eating! Enjoy your boiled peanuts much like you enjoy sunflower seeds, and toss the shells aside. \nRecipe Summary: 'Purchasing Raw Dried Peanuts', 'UNKNOWN', 'Seasoning and Cooking', 'Enjoy and Spread That Peanut Love'Choice list:['Campfire Boiled Eggs', 'Check the Rice', 'Done', 'The Triple Rinse']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/RecipeIngredientDescription/annotation.json b/Scope-A/S-A-Quick/image/comprehension/RecipeIngredientDescription/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..cdf55d5658a01a83a57362271200cb11bf6990be --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/RecipeIngredientDescription/annotation.json @@ -0,0 +1,341 @@ +{ + "set_type": "closeset", + "task": "Recipe Ingredient Description", + "data_source": "RecipeQA_VisualCloze", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0029", + "input": { + "image_file": [ + "0029_0.jpg", + "0029_1.jpg", + "0029_2.jpg", + "0029_3.jpg", + "0029_4.jpg", + "0029_5.jpg", + "0029_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: cinnamon-apple-crumb-pie\nDetails: Step#1: Make Pie Crust: Pie Crust Ingredients 2 cups flour 1 teaspoon salt 2/3 cup chilled butter 1/2 cup water Pie Crust Recipe Preheat oven to 350 degrees Mix together flour and salt Cut butter into mixture until coarse crumbs form Add water 1 tablespoon at a time and continue to knead until dough forms Do\u00a0not over work the dough. \nStep#2: Make Apple Filling: Pie Filling Ingredients 7 medium apples (I like the tartness of granny smith) 1/2 cup sugar (I do 1/4 cup brown and 1/4 cup granulated) 1 teaspoon ground cinnamon 1/4 teaspoon nutmeg 1/4 teaspoon salt 1 tablespoon lemon juice (optional) Pie Filling Recipe Peel, core and chop apples Combine all filling ingredients Let sit for 5 minutes and drain syrup from the bottom . \nStep#3: Make Crumb Topping: Crumb Topping Ingredients 3/4 cup brown sugar 3/4 cup flour 1/2 teaspoon ground nutmeg 1/2 teaspoon cinnamon 1/3 cup chilled butter I sometimes add a handful of\u00a0oats or nuts as well Crumb Topping Recipe Mix together all topping ingredients except for the butter Cut butter into crumb mixture and mix until coarse crumbs form (I use my hands for this). \nStep#4: Bake Pie: Bake pie for 40-45 minutes at 400 degrees, until apples are tender. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0384", + "input": { + "image_file": [ + "0384_0.jpg", + "0384_1.jpg", + "0384_2.jpg", + "0384_3.jpg", + "0384_4.jpg", + "0384_5.jpg", + "0384_6.jpg" + ], + "prompt": "Using a recipe tutorial written in text, your responsibility is to examine it carefully and choose the best-suited image to fill the void, effectively completing the recipe image sequence. You must choose your answer from the Choice List. Recipe: easy-egg-clouds\nDetails: Step#1: Ingredients: 4 eggs50g smoked pork tenderloin50g feta cheese1/2 red pepper50g gouda cheese1 tsp salt1/2 tsp black pepper1/2 tsp dried oreganoPreparation time: 10-15 minFor 4 servings. \nStep#2: Yolk and Egg Whites: Take 4 eggs and separate egg whites from egg yolks carefully. \nStep#3: Egg White Clouds: Whip the egg whites with mixer until stiff. \nStep#4: Egg White Clouds: Spoon the mixture onto a baking tray and make 4 clouds out of it. \nStep#5: Egg White Clouds With Yolk & Cheese: Take the baking tray out of the oven and place gouda cheese and yolk on top of each cloud. \nStep#6: Video Step by Step: Serve your cloud eggs breakfast and enjoy your meal!. \nStep#7: Recipe Sumary: . \nStep#8: Subscribe & Follow Me: YOUTUBE: https://www. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0349", + "input": { + "image_file": [ + "0349_0.jpg", + "0349_1.jpg", + "0349_2.jpg", + "0349_3.jpg", + "0349_4.jpg", + "0349_5.jpg", + "0349_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: dr-pepper-fudge-pie\nDetails: Step#1: Ingredients: 4 c. \nStep#2: Bake the Pie Crust: Follow the directions on the package. \nStep#3: Starting the Filling: -Chop the chocolate. \nStep#4: Finishing the Pie: - Cook over Medium-Low heat. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0494", + "input": { + "image_file": [ + "0494_0.jpg", + "0494_1.jpg", + "0494_2.jpg", + "0494_3.jpg", + "0494_4.jpg", + "0494_5.jpg", + "0494_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: peruvian-beef-tenderloin-skewers-anticucho-de-lomo\nDetails: Step#1: Cube and Marinade: Cube the beef tenderloin into chunks of about 1. \nStep#2: ...Three Hours Later...: Preheat a grill or stove-top cast iron grill to medium to medium/high heat. \nStep#3: Beef Skewers Time: Carefully place the meat on the skewers, taking care to leave about three inches of skewer free to use as a handle - this will also help to prevent overloading the skewer and having them break during cooking. \nStep#4: Saucy!: Divide the ricotto paste between 2 small bowls. \nStep#5: Time to Grill: Lightly oil the grill or spray with cooking spray. \nStep#6: Plate and Enjoy!: We served our beef skewers in a traditional fashion with a couple of skewers on a corn husk and a half ear of corn along with a small bowl of our dipping sauce. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0164", + "input": { + "image_file": [ + "0164_0.jpg", + "0164_1.jpg", + "0164_2.jpg", + "0164_3.jpg", + "0164_4.jpg", + "0164_5.jpg", + "0164_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: low-fat-hummus\nDetails: Step#1: Soak the Chickpeas: You need to use dried chickpeas for this recipe to produce a jelly (US: jello) that will hold the hummus together without the need for lots of calorie-laden tahini. \nStep#2: Boil the Chickpeas: Tip the chickpeas into a small saucepan and cover them with cold water. \nStep#3: Make the Hummus: The liquid that the chickpeas were boiled in should have gone jelly-like as it cooled. \nStep#4: Enjoy: Transfer the hummus to a lidded container. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0157", + "input": { + "image_file": [ + "0157_0.jpg", + "0157_1.jpg", + "0157_2.jpg", + "0157_3.jpg", + "0157_4.jpg", + "0157_5.jpg", + "0157_6.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the most suitable image to fill in the blank space, thereby accurately finishing the recipe image series. You must choose your answer from the Choice List. Recipe: chocolate-cherry-chunk-cookies\nDetails: Step#1: Ingerdients: 1. \nStep#2: Dry Stuff: Preheat oven to 350 degrees. \nStep#3: Everything Else: In another bowl combine butter and both sugars. \nStep#4: Bake 'Em and Eat 'Em: Use a level tablespoon to form the cookies (I roll mine into balls). \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0180", + "input": { + "image_file": [ + "0180_0.jpg", + "0180_1.jpg", + "0180_2.jpg", + "0180_3.jpg", + "0180_4.jpg", + "0180_5.jpg", + "0180_6.jpg" + ], + "prompt": "Given a text-based recipe guide, your responsibility is to meticulously review it and choose the most fitting image to fill the missing gap, ensuring the recipe image series is completed correctly. You must choose your answer from the Choice List. Recipe: homemade-olive-oil-spread\nDetails: Step#1: Pour Your Oil: Pour some olive oil into a small container. \nStep#2: Enhancements: While I haven't tried this yet, you could also add herbs or spices (parsley, oregano, basil, and garlic are some good ones) for more flavor. \nStep#3: Cool Your Oil: Pop the container in the freezer overnight. \nStep#4: Voila!: After some softening time in the fridge, the olive oil should now be a nice spreadable consistency. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0171", + "input": { + "image_file": [ + "0171_0.jpg", + "0171_1.jpg", + "0171_2.jpg", + "0171_3.jpg", + "0171_4.jpg", + "0171_5.jpg", + "0171_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: dehydrated-pizza-cookies-back-to-the-future\nDetails: Step#1: Sugar Cookie Dough: You can make your sugar cookie dough from scratch or buy it premade, it doesn\u2019t really matter. \nStep#2: The Crust: Take large spoonful of doughRoll it up into a ballPlace it down into a flat surfaceCover it with aluminum foil or parchment paperSquish it down using a plate or a cutting boardAfter doing this, you should have a nice, round, piece of crust. \nStep#3: The Toppings: To make the pepperoni, use the same method you used when making the crust. \nStep#4: Baking: Bake the cookies according to the directions for your recipe. \nStep#5: Pizza!: Spread a thin layer of frosting onto the top of the cookie. \nStep#6: Label: The label is the trickiest part of this project. \nStep#7: \u200bPackaging the Pizza: Place a sheet of foil down onto a flat surface. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0400", + "input": { + "image_file": [ + "0400_0.jpg", + "0400_1.jpg", + "0400_2.jpg", + "0400_3.jpg", + "0400_4.jpg", + "0400_5.jpg", + "0400_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: 1-mango-jalapeno-jam\nDetails: Step#1: BoM: 1 mangoe1-2 jalapenos1/8-1/4 cup sugar or honey *sweeten to taste*1 tbs lemon or lime juice. \nStep#2: ins: Clean and dice your jalapenos. \nStep#3: Prep Mango: The first mango I cut up gave me over 10oz of fruit, so I decided not to cut up the other one. \nStep#4: Mix: Add everything together in a pot large enough to avoid potential spillovers. \nStep#5: Cook: Bring to a boil over medium heat, stirring frequently. \nStep#6: Jar: When the jam is done cooking, remove it from heat and transfer to a sterilized jar. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0468", + "input": { + "image_file": [ + "0468_0.jpg", + "0468_1.jpg", + "0468_2.jpg", + "0468_3.jpg", + "0468_4.jpg", + "0468_5.jpg", + "0468_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: half-baked\nDetails: Step#1: Things You Need to Raid Your Kitchen For: This is just a short overview, the exact quantities will be listed in the following steps!\n1. \nStep#2: For the Cookie Cups: For these rich chocolatey cookie cups, you will need\n1. \nStep#3: Making the Dough: Combine the dry ingredients in a large mixing bowl and melt the butter and the chocolate in a microwave on high. \nStep#4: Knead That Dough: Add the egg, to the dry ingredients, salt and vanilla followed by the melted butter and that gorgeous chocolate. \nStep#5: Molding Those Lil Cups: Line the bottom of your mini muffin pan with cupcake liners. \nStep#6: Bake!: Bake the cups on high for 180 Degrees\u00a0Celsius\u00a0for 20-25 minutes. \nStep#7: While the Cookies Are Baking....: These are the ingredients you will need for that lovely dollop of cookie dough . \nStep#8: That Cookie Dough: Combine butter and sugar in a mixing bowl, followed by the milk, vanilla . \nStep#9: Now Fetch Those Cookie Cups: Remove the cookie cups from the oven and let them cool. \nStep#10: Assemble: This is really up to you , (but I would go camping just as an excuse to eat smores) so I filled the bottom of my cups with mini marshmallows and a small square of chocolate . \nStep#11: EAT: Now recline with that hot cup of java . \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0373", + "input": { + "image_file": [ + "0373_0.jpg", + "0373_1.jpg", + "0373_2.jpg", + "0373_3.jpg", + "0373_4.jpg", + "0373_5.jpg", + "0373_6.jpg" + ], + "prompt": "Using a recipe tutorial written in text, your responsibility is to examine it carefully and choose the best-suited image to fill the void, effectively completing the recipe image sequence. You must choose your answer from the Choice List. Recipe: peach-brown-betty\nDetails: Step#1: Ingredients: 3 Cups peaches - preferably fresh but you can used canned if that's what you have. \nStep#2: Peaches: Peel and cut peaches. \nStep#3: Breadcrumbs: Place bread in oven at about 350 degrees to dry it out a bit. \nStep#4: Fresh Whipped Cream: Add a 1/2 Cup of whipping cream into a mixing bowl. \nStep#5: Combine and Bake: Layer the breadcrumb and peaches. \nStep#6: Serve It: Serve hot or warm with either vanilla ice cream or whipped cream. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0353", + "input": { + "image_file": [ + "0353_0.jpg", + "0353_1.jpg", + "0353_2.jpg", + "0353_3.jpg", + "0353_4.jpg", + "0353_5.jpg", + "0353_6.jpg" + ], + "prompt": "Given a text-based recipe guide, your responsibility is to meticulously review it and choose the most fitting image to fill the missing gap, ensuring the recipe image series is completed correctly. You must choose your answer from the Choice List. Recipe: sprouting-your-own-sprouts\nDetails: Step#1: Your Basic Mung Beans: Here are some dry mung beans I got at an Indian grocery store for $1 a pound or so. \nStep#2: The Sprouting Vessel: The sprouts need air. \nStep#3: Exactly This Much: Put a cup or so of beans in the tub. \nStep#4: Soak 1 Day: Put plenty of water in the jar, the seeds will swell up a lot. \nStep#5: And Drain: Just up-end it over the sink for a while. \nStep#6: Soda Bottle System: I used to sprout in these three liter soda bottles. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0041", + "input": { + "image_file": [ + "0041_0.jpg", + "0041_1.jpg", + "0041_2.jpg", + "0041_3.jpg", + "0041_4.jpg", + "0041_5.jpg", + "0041_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: how-to-make-traditional-english-pork-pies\nDetails: Step#1: Making the Minced Pork Filling: The filing for a pork pie is very simple. \nStep#2: Making the Hot Water Crust: The pastry in a traditional pork pie is unusual in that it is made with hot water, not cold. \nStep#3: Forming the Pies in the Mould: Press the warm hot water crust paste into a greased muffin or pie mould. \nStep#4: Baking the Pies: Before baking, preheat the oven to Gas mark 4 (180C/350F/). \nStep#5: Finishing the Pies by Adding the Jelly: Finally, when the pies are cold, they can be topped up with jelly. \nStep#6: Eating Pies: This needs no explanation, but in keeping with the tradition of pork pies, it is recommended that they be eaten as part of a picnic. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0357", + "input": { + "image_file": [ + "0357_0.jpg", + "0357_1.jpg", + "0357_2.jpg", + "0357_3.jpg", + "0357_4.jpg", + "0357_5.jpg", + "0357_6.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and opt for the best image to fill the missing section, correctly rounding off the recipe image sequence. You must choose your answer from the Choice List. Recipe: california-condor-complete-meal-in-a-pie\nDetails: Step#1: Making the Sweet: First peel and chop your apples nice and thin. \nStep#2: Making the Savory: In a saucepan bring a tablespoon of oil to med heat. \nStep#3: Making the Pie: I used some gluten free pie crust that I made last week. \nStep#4: Bake That Pie: Put the pie in a pre heated oven at 450 degrees for 25 minutes. \nStep#5: Cut and Serve: When you come home at 2:20am after a night\u00a0of dancing cut into this pie for a complete meal. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0244", + "input": { + "image_file": [ + "0244_0.jpg", + "0244_1.jpg", + "0244_2.jpg", + "0244_3.jpg", + "0244_4.jpg", + "0244_5.jpg", + "0244_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: flesh-wound-eyeball-cupcake-toppers\nDetails: Step#1: Color Fondant and Gather Supplies: You will need the following colors of fondant and supplies to make these toppers:Fondantpeachy flesh colorredwhiteblackblueYou can purchase pre-colored fondant or mix up colors yourself with white fondant and food coloring. \nStep#2: Flesh Wound Cupcake Toppers: Roll out flesh colored fondant to 1/8 inch thick. \nStep#3: Bleeding Eyeball Cupcake Toppers: Roll out red fondant 1/8 inch thick. \nStep#4: Toppers Complete: Let the toppers harden slightly on wax paper lined baking sheet. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0356", + "input": { + "image_file": [ + "0356_0.jpg", + "0356_1.jpg", + "0356_2.jpg", + "0356_3.jpg", + "0356_4.jpg", + "0356_5.jpg", + "0356_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: fainting-fancies\nDetails: Step#1: Supplies: 4 Tbsp unflavored gelatin\n4 Tbsp water\n1/3 cup carrot juice, strained (other juices work here)\n1/4 teas ground cumin\n1/3 cup apple juice\n6 Tbsp sugar\n1 packet lemonade flavored drink mix powder, unsweetened (1/4 oz)\n1 small pan*\n*Total volume is 1 1/4 cup so I used a mini loaf pan 5\"X3\"\u00a0 To see how thickly your treats will be in your own small pan, pour in 1 1/4 cups to see the final height. \nStep#2: Sweet Side (Orange Colored): Place 2 Tbsp water into a small bowl. \nStep#3: Revival Side (Yellow): Place 2 Tbsp water into a small bowl. \nStep#4: Cutting: One the two layers are set-up, place the pan in hot water and carefully loosen sides with a knife. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0143", + "input": { + "image_file": [ + "0143_0.jpg", + "0143_1.jpg", + "0143_2.jpg", + "0143_3.jpg", + "0143_4.jpg", + "0143_5.jpg", + "0143_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: bacon-brittle\nDetails: Step#1: Assemble the Ingredients: \nHere are the ingredients you will need:\n\t1\u00a0cup brown sugar\n\t1/2 cup\u00a0maple syrup\n\t1/2 cup water\n\t1 tablespoon unsalted butter\n\t2 teaspoons vanilla extract\n\t1 teaspoon baking soda\n\t1/2 cup (about 2 ounces) chopped pecans\n\t1/3 to 1/2 cup cooked bacon bits (6 to 8 ounces uncooked bacon) I\u00a0used a thick maple bacon I\u00a0got at Sam's club, but you can use any bacon you prefer. \nStep#2: Makin' Bacon Bits: Fry the bacon until it is as crispy as you like, then set aside to cool. \nStep#3: Start Cooking!: \n\tIn a medium heavy saucepan, combine the sugar,\u00a0maple syrup and water over medium heat. \nStep#4: Add the Rest of the Ingredients: \n\tStir in the butter, vanilla, baking soda, pecans and bacon bits. \nStep#5: Cool, Then Break Up: \n\tCool at least 10 minutes before breaking into pieces. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0492", + "input": { + "image_file": [ + "0492_0.jpg", + "0492_1.jpg", + "0492_2.jpg", + "0492_3.jpg", + "0492_4.jpg", + "0492_5.jpg", + "0492_6.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the most suitable image to fill in the blank space, thereby accurately finishing the recipe image series. You must choose your answer from the Choice List. Recipe: vodka-penne\nDetails: Step#1: Ingredients and Tools: Ingredients:1 box of Penne noodles1/4 cup Butter4 Artichoke Hearts2 Tbsp of Sun Dried Tomatoes2/3 jar of Vodka Classic Sauce1/2 cup Heavy Cream1 Tbsp Minced Garlic1/2 packet of Parmesan CheeseTools:2 Wooden spoonsMeasuring cups and spoonsLarge SkilletLarge Boiling PotStrainerStoveKnife. \nStep#2: Bring Penne Noodles to a Boil: Fill a large broiler pot with hot water. \nStep#3: Cooking Added Ingredients: While the noodles are cooking, finely chop up artichoke hearts and sun dried tomatoes. \nStep#4: Creating the Sauce: Turn the stove burner to low to medium heat so that you do not burn the sauce. \nStep#5: Strain Noodles: When all noodles are al dente, or known as the ideal texture and feel of the pasta noodles, remove the large broiler pot from the heat and turn of the stove burner off. \nStep#6: Combine Noodles and Sauce: After straining the remaining water and creating our sauce, slowly add in the penne noodles to the vodka sauce. \nStep#7: Enjoy!: I hope you enjoy one of my most profound dishes. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0417", + "input": { + "image_file": [ + "0417_0.jpg", + "0417_1.jpg", + "0417_2.jpg", + "0417_3.jpg", + "0417_4.jpg", + "0417_5.jpg", + "0417_6.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the most suitable image to fill in the missing blank, thereby accurately completing the recipe image series. You must choose your answer from the Choice List. Recipe: how-to-make-nutella\nDetails: Step#1: What You'll Need: - buttering knife - aero (chocolate) - sandwiches (you can use 1 or 2 pieces. \nStep#2: Microwave: Take you aero bar and microwave it in the microwave for 45 seconds. \nStep#3: Mix: When the microwave is done take out the bowl of chocolate and take your toothpick and start mixing. \nStep#4: Spreading: Take your knife and start spreading the chocolate all around the bread. \nStep#5: DONEE: YAY YOUR SANDWICH AND HOMEMADE NUTELLA IS DONEE!! Enjoy!!! It is VERY yummy. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0024", + "input": { + "image_file": [ + "0024_0.jpg", + "0024_1.jpg", + "0024_2.jpg", + "0024_3.jpg", + "0024_4.jpg", + "0024_5.jpg", + "0024_6.jpg" + ], + "prompt": "Given a text-based recipe guide, your responsibility is to meticulously review it and choose the most fitting image to fill the missing gap, ensuring the recipe image series is completed correctly. You must choose your answer from the Choice List. Recipe: cuneiform-clay-tablet-cookies\nDetails: Step#1: Shortbread Dough: Beat together until light & fluffy:1 cup butter \u00bd cup light brown sugar 2 tsp granulated sugar \u00bd tsp saltBeat together and add:1 large egg 1 tsp vanillaFold in:3 cups flourAfter all ingredients have been mixed together to form a crumbly dough that holds together when pressed, divide the crumbly dough into two plastic bags. \nStep#2: Gingerbread Dough: Whisk together:1 \u00bd cups plus 3 tablespoons flour\u00bc tsp baking soda \u00bc cup sugar \u00be tsp cinnamon 1 tsp ground ginger \u00bc tsp ground cloves \u00bc tsp ground nutmeg \u00bc tsp saltMix separately:\u00bc cup vegetable oil\u00bd cup molasses1 tablespoon waterdash vanillaAdd liquid mixture to dry mixture, and work everything together with a spoon just until it holds together and forms a stiff dough. \nStep#3: dough Tablets: Real cuneiform tablets can be as small as a postage stamp or as big as a sheet of letterhead, but most are somewhere in between and actually reasonably cookie-sized. \nStep#4: Fashion a Stylish Stylus: Before you can inscribe any cuneiform, you need a trusty stylus to write with. \nStep#5: Exercise Your Scribal Prowess: Now it's time to settle in and start writing. \nStep#6: Dry & Bake Your Tablets for Posterity: Fun fact: many of the tablets we have were never intended to be preserved. \nStep#7: Delight Your Friends and Confound Your Enemies: As for you, Gilgamesh, let your belly be full, Make merry day and night. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Road_Semantic_Segmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Road_Semantic_Segmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b01773c621b31f8d30b273351491a0f89c8674f7 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Road_Semantic_Segmentation/annotation.json @@ -0,0 +1,162 @@ +{ + "task": "Road Semantic Segmentation", + "data_source": "cityscapes", + "type": "comprehension", + "skill": "Panoptic Segmentation (Panoptic Seg)", + "domain": "General", + "capability": "Content Recognition, Commonsense Knowledge", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/frankfurt_000000_013067_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0256" + }, + { + "input": { + "image_file": "images/munster_000008_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0149" + }, + { + "input": { + "image_file": "images/munster_000033_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0147" + }, + { + "input": { + "image_file": "images/frankfurt_000001_066574_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0499" + }, + { + "input": { + "image_file": "images/frankfurt_000001_017101_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0253" + }, + { + "input": { + "image_file": "images/frankfurt_000001_014221_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0445" + }, + { + "input": { + "image_file": "images/frankfurt_000001_009504_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0494" + }, + { + "input": { + "image_file": "images/frankfurt_000001_065160_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0286" + }, + { + "input": { + "image_file": "images/frankfurt_000001_072295_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0241" + }, + { + "input": { + "image_file": "images/munster_000131_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0170" + }, + { + "input": { + "image_file": "images/frankfurt_000001_064305_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0452" + }, + { + "input": { + "image_file": "images/frankfurt_000000_017228_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0439" + }, + { + "input": { + "image_file": "images/frankfurt_000001_029236_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0411" + }, + { + "input": { + "image_file": "images/munster_000144_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0167" + }, + { + "input": { + "image_file": "images/frankfurt_000001_002512_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0403" + }, + { + "input": { + "image_file": "images/lindau_000013_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0215" + }, + { + "input": { + "image_file": "images/frankfurt_000001_054077_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0385" + }, + { + "input": { + "image_file": "images/frankfurt_000001_083199_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0329" + }, + { + "input": { + "image_file": "images/frankfurt_000001_059642_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0462" + }, + { + "input": { + "image_file": "images/munster_000052_000019_leftImg8bit.png", + "prompt": "Segment out the road in the image" + }, + "id": "rs0052" + } + ], + "others": {}, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ScrewAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ScrewAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9be43c0100ba71da64a166b298de1b06f07f9091 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ScrewAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "screw anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "61", + "input": { + "image_file": "61.png", + "prompt": "Detect the anomaly region of the screw" + } + }, + { + "id": "60", + "input": { + "image_file": "60.png", + "prompt": "Detect the anomaly region of the screw" + } + }, + { + "id": "24", + "input": { + "image_file": "24.png", + "prompt": "Detect the anomaly region of the screw" + } + }, + { + "id": "58", + "input": { + "image_file": "58.png", + "prompt": "Detect the anomaly region of the screw" + } + }, + { + "id": "37", + "input": { + "image_file": "37.png", + "prompt": "Detect the anomaly region of the screw" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/SequentialPhotoStorytelling/annotation.json b/Scope-A/S-A-Quick/image/comprehension/SequentialPhotoStorytelling/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..aed5b237f304f18e79246f3f94e1d6dedb6bda1a --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/SequentialPhotoStorytelling/annotation.json @@ -0,0 +1,161 @@ +{ + "set_type": "closeset", + "task": "Sequential Photo Storytelling", + "data_source": "VIST", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Visual Storytelling Generation", + "domain": "Humanities", + "general_capability": [ + "Commense Understanding" + ], + "version": "1.0", + "data": [ + { + "id": "0388", + "input": { + "image_file": [ + "0388_0.jpg", + "0388_1.jpg", + "0388_2.jpg", + "0388_3.jpg", + "0388_4.jpg" + ], + "prompt": "Given the stories paired with the first several images, can you finish the story based on the last image?Caption#1:The woman was felling awful.Caption#2:Doctors gave her the medicine she needed.Caption#3:She rested, but she was beginning to recuperate.Caption#4:Soon, she was back teaching her students.Caption#5:" + }, + "output": {} + }, + { + "id": "0485", + "input": { + "image_file": [ + "0485_0.jpg", + "0485_1.jpg", + "0485_2.jpg", + "0485_3.jpg", + "0485_4.jpg" + ], + "prompt": "Based on the narratives associated with the initial images, use the final picture to bring the story to a close.Caption#1:We went to the airport.Caption#2:There was lots of waiting.Caption#3:Then we gave some hugs.Caption#4:The trip ended so fast.Caption#5:" + }, + "output": {} + }, + { + "id": "0360", + "input": { + "image_file": [ + "0360_0.jpg", + "0360_1.jpg", + "0360_2.jpg", + "0360_3.jpg", + "0360_4.jpg" + ], + "prompt": "Given the progression of the story with the first few images, can you write a fitting end considering the last image?Caption#1:Today our class went to the cemetery to explore.Caption#2:As soon as you get close enough to the headstones you can tell the different shapes and ages.Caption#3:We came across this headstone of George who died in the 1550's.Caption#4:We imagined Betty was George's wife who died after him in the 1560's.Caption#5:" + }, + "output": {} + }, + { + "id": "0275", + "input": { + "image_file": [ + "0275_0.jpg", + "0275_1.jpg", + "0275_2.jpg", + "0275_3.jpg", + "0275_4.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:Our home town is quaint.Caption#2:We jumped in the river,Caption#3:and walked down the empty streets.Caption#4:Visited the post office for some packages,Caption#5:" + }, + "output": {} + }, + { + "id": "0380", + "input": { + "image_file": [ + "0380_0.jpg", + "0380_1.jpg", + "0380_2.jpg", + "0380_3.jpg", + "0380_4.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:We all gathered at grandma's house for her birthday.Caption#2:We hadn't seen each other in a while.Caption#3:It was great to catch up with the cousinsCaption#4:and aunts.Caption#5:" + }, + "output": {} + }, + { + "id": "0206", + "input": { + "image_file": [ + "0206_0.jpg", + "0206_1.jpg", + "0206_2.jpg", + "0206_3.jpg", + "0206_4.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:We decided to take a country drive around our village.Caption#2:Farm country is full of rustic charm.Caption#3:The farmer's market teems with fresh fruits and vegetables. We bought a lot of it!Caption#4:We were proud to see such art displayed here.Caption#5:" + }, + "output": {} + }, + { + "id": "0221", + "input": { + "image_file": [ + "0221_0.jpg", + "0221_1.jpg", + "0221_2.jpg", + "0221_3.jpg", + "0221_4.jpg" + ], + "prompt": "Given the story so far from the first few images, can you complete the tale considering the final image?Caption#1:The kids dream is to get a phd,Caption#2:this one is to reach their highest potential,Caption#3:this one wants to climb a rock wall.Caption#4:Then this guy wants to master league of SC,Caption#5:" + }, + "output": {} + }, + { + "id": "0440", + "input": { + "image_file": [ + "0440_0.jpg", + "0440_1.jpg", + "0440_2.jpg", + "0440_3.jpg", + "0440_4.jpg" + ], + "prompt": "Given the stories paired with the first several images, can you finish the story based on the last image?Caption#1:I posed with my son on his first day of school.Caption#2:My husband's turn. My two handsome men!Caption#3:My son was a little nervous and very excited to meet his new classmates.Caption#4:His teacher graciously allowed me to take a classroom photo.Caption#5:" + }, + "output": {} + }, + { + "id": "0026", + "input": { + "image_file": [ + "0026_0.jpg", + "0026_1.jpg", + "0026_2.jpg", + "0026_3.jpg", + "0026_4.jpg" + ], + "prompt": "Using the preceding stories paired with the images, can you draft the ending with reference to the last image?Caption#1:I went to see a play about relationships.Caption#2:One of the characters was getting drunk while talking about her husband.Caption#3:Another character was getting drunk aswell.Caption#4:In another scene the men were sitting down complaing about women.Caption#5:" + }, + "output": {} + }, + { + "id": "0040", + "input": { + "image_file": [ + "0040_0.jpg", + "0040_1.jpg", + "0040_2.jpg", + "0040_3.jpg", + "0040_4.jpg" + ], + "prompt": "Taking the stories from the initial images into account, can you conclude the story using the elements of the final image?Caption#1:We're celebrating Independence Day!Caption#2:We were able to see some great fireworks!Caption#3:This one looks like a dandelion floating in the wind.Caption#4:Earlier we saw a band practicing for the parade.Caption#5:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/SequentialStoryCompletion/annotation.json b/Scope-A/S-A-Quick/image/comprehension/SequentialStoryCompletion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..de9f29168585e0d286b87cb3677bf844a1ba020c --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/SequentialStoryCompletion/annotation.json @@ -0,0 +1,141 @@ +{ + "set_type": "closeset", + "task": "Sequential Story Completion", + "data_source": "DIDEMO", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Visual Storytelling Generation", + "domain": "Humanities", + "general_capability": [ + "Commense Understanding" + ], + "version": "1.0", + "data": [ + { + "id": "0348", + "input": { + "image_file": [ + "0348_0.jpg", + "0348_1.jpg", + "0348_2.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:singer grasps microphone with both hands for first time.Caption#2:singer bends down then jumps up.Caption#3:" + }, + "output": {} + }, + { + "id": "0214", + "input": { + "image_file": [ + "0214_0.jpg", + "0214_1.jpg", + "0214_2.jpg" + ], + "prompt": "With the stories connected to the initial pictures, how would you write the climax based on the last picture?Caption#1:we first see big water spot on the shore.Caption#2:ocean comes into view.Caption#3:" + }, + "output": {} + }, + { + "id": "0411", + "input": { + "image_file": [ + "0411_0.jpg", + "0411_1.jpg", + "0411_2.jpg" + ], + "prompt": "Taking the stories from the initial images into account, can you conclude the story using the elements of the final image?Caption#1:hands are shown.Caption#2:the fingers push the buttons..Caption#3:" + }, + "output": {} + }, + { + "id": "0313", + "input": { + "image_file": [ + "0313_0.jpg", + "0313_1.jpg", + "0313_2.jpg" + ], + "prompt": "Given the story so far from the first few images, can you complete the tale considering the final image?Caption#1:trows truck up.Caption#2:rabbit flips yellow vehicle into the air.Caption#3:" + }, + "output": {} + }, + { + "id": "0052", + "input": { + "image_file": [ + "0052_0.jpg", + "0052_1.jpg", + "0052_2.jpg" + ], + "prompt": "From the narratives given with the initial images, write the conclusion using the final imageCaption#1:a green parrot climbs a fence..Caption#2:green bird grabs stick..Caption#3:" + }, + "output": {} + }, + { + "id": "0162", + "input": { + "image_file": [ + "0162_0.jpg", + "0162_1.jpg", + "0162_2.jpg" + ], + "prompt": "Based on the stories accompanying the first images, can you devise a conclusion for the story that incorporates the last image?Caption#1:dog under the chair moves it's head.Caption#2:we finally can see the dog under chair for first time..Caption#3:" + }, + "output": {} + }, + { + "id": "0245", + "input": { + "image_file": [ + "0245_0.jpg", + "0245_1.jpg", + "0245_2.jpg" + ], + "prompt": "With the narratives paired with the initial images, how would you conclude the story using the last picture?Caption#1:the dog runs out the water.Caption#2:the dog seemed very excited to be back on dry land..Caption#3:" + }, + "output": {} + }, + { + "id": "0027", + "input": { + "image_file": [ + "0027_0.jpg", + "0027_1.jpg", + "0027_2.jpg" + ], + "prompt": "Based on the narratives associated with the initial images, use the final picture to bring the story to a close.Caption#1:A boy points into a planter at a plant..Caption#2:A kid watering a plant with a toy on it.\n.Caption#3:" + }, + "output": {} + }, + { + "id": "0290", + "input": { + "image_file": [ + "0290_0.jpg", + "0290_1.jpg", + "0290_2.jpg" + ], + "prompt": "Given the stories paired with the first several images, can you finish the story based on the last image?Caption#1:man first swings.Caption#2:person hits the ball a second time.Caption#3:" + }, + "output": {} + }, + { + "id": "0487", + "input": { + "image_file": [ + "0487_0.jpg", + "0487_1.jpg", + "0487_2.jpg" + ], + "prompt": "Based on the narratives associated with the initial images, use the final picture to bring the story to a close.Caption#1:a black bird flying back to its original spot to dig through the mud..Caption#2:the black bird lands on the branches..Caption#3:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ShipDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ShipDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9bb8f79079e54d92809561269413c7ec68043f37 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ShipDetection/annotation.json @@ -0,0 +1,124 @@ +{ + "task": "Ship Detection", + "data_source": "https://www.kaggle.com/datasets/andrewmvd/ship-detection", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "boxes" + ] + }, + "skill": "Object Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "bbox_format": "(x_min, y_min, width, height)" + }, + "data": [ + { + "input": { + "image_file": "boat627.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0525" + }, + { + "input": { + "image_file": "boat258.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0174" + }, + { + "input": { + "image_file": "boat32.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0232" + }, + { + "input": { + "image_file": "boat25.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0167" + }, + { + "input": { + "image_file": "boat213.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0129" + }, + { + "input": { + "image_file": "boat512.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0411" + }, + { + "input": { + "image_file": "boat39.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0293" + }, + { + "input": { + "image_file": "boat633.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0530" + }, + { + "input": { + "image_file": "boat183.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0095" + }, + { + "input": { + "image_file": "boat669.png", + "prompt": "Detect the ship in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "sd_0564" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Sporting-relatedVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Sporting-relatedVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..df0d3fdd0a2e20875f147f5e2d5f5237da8a5e91 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Sporting-relatedVQA/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Sporting-related VQA", + "data_source": "MMCoQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "Sports", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0343", + "input": { + "image_file": [ + "0343_0.jpg", + "0343_1.jpg" + ], + "prompt": "Provided with a variety of pertinent information, including images, text, tables, and previous Q&A history, your role is to answer the upcoming question accurately.Global Table: Current Context: Question: How many photos make up this collage of Johannesburg? Answer:" + }, + "output": {} + }, + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: History Context 1: Text: On the final lap of the 500, race leaders Cale Yarborough and Donnie Allison collided with each other on the Daytona International Speedway's back stretch. Both drivers' races ended in Daytona's grass infield. The wreck allowed Richard Petty, then over one-half lap behind both, to claim his sixth Daytona 500 win. Question: Which man won the 1979 Daytona 500 driving a Cutlass? Answer: Richard Petty. History Context 2: Question: He is shown wearing what type of hat? Answer: cowboy. Current Context: Text: On the final lap of the 500, race leaders Cale Yarborough and Donnie Allison collided with each other on the Daytona International Speedway's back stretch. Both drivers' races ended in Daytona's grass infield. The wreck allowed Richard Petty, then over one-half lap behind both, to claim his sixth Daytona 500 win. Question: Who is the winner of the 1979 Daytona 500 in a cutlass? Answer:" + }, + "output": {} + }, + { + "id": "0331", + "input": { + "image_file": [ + "0331_0.jpg", + "0331_1.jpg" + ], + "prompt": "With an assortment of related data such as images, text, tables, and past Q&A history, your task is to correctly respond to the following question.Global Table: History Context 1: Text: Sister Wives is an American reality television series broadcast on TLC that premiered on September 26, 2010. The show documents the life of a polygamist family, which includes patriarch Kody Brown, his four wives, and their 18 children. The family began the series living in Lehi, Utah, but has since moved to Las Vegas, Nevada in 2011. Question: What is the city where the Brown family from Sister Wives lived in 2011? Answer: Las Vegas, Nevada. Current Context: Question: Who are the people competing for the Veterans of Ink Masters season 9 for the shops located in the city? Answer:" + }, + "output": {} + }, + { + "id": "0070", + "input": { + "image_file": [ + "0070_0.jpg", + "0070_1.jpg" + ], + "prompt": "Provided with a diverse set of relevant data, encompassing images, texts, tables, and a record of past Q&A interactions, you're tasked with providing an accurate response to the subsequent query.Global Table: History Context 1: Text: Nicholas Edward Foles (born January 20, 1989) is an American football quarterback for the Philadelphia Eagles of the National Football League (NFL). He played college football at Arizona, and was drafted by the Eagles in the third round of the 2012 NFL Draft. He has also played for the St. Louis Rams and Kansas City Chiefs. Question: What's the NFL team that N. Foles plays for? Answer: Philadelphia Eagles. Current Context: Question: On what date in 1966 did the Dallas Cowboys play against the team? Answer:" + }, + "output": {} + }, + { + "id": "0208", + "input": { + "image_file": [ + "0208_0.jpg", + "0208_1.jpg" + ], + "prompt": "Given the available relevant resources including images, texts, tables, and previous Q&A sessions, your task is to accurately answer the forthcoming question.Global Table: History Context 1: Text: Secrets of the Furious Five (also known as Kung Fu Panda: Secrets of the Furious Five) is an American animated short produced by DreamWorks Animation, which serves as a semi-sequel or spin-off to the animated feature film Kung Fu Panda and appears on a companion disc of the original film's deluxe DVD release. It was later broadcast on NBC on February 26, 2009 and is now available as a separate DVD as of March 24, 2009. Question: When was the short film Pierre Perifel won an Annie Award for broadcasted on NBC? Answer: February 26, 2009. History Context 2: Table: Question: Which film was Gerald Butler nominated for this award Answer: How to Train Your Dragon. History Context 3: Text: The Isle of Berk is a remote Viking village, from which dragons periodically steal livestock. Hiccup, the awkward fifteen-year-old son of the village chieftain, Stoick the Vast, is too small to fight the dragons and instead fashions mechanical devices under his apprenticeship with Gobber the blacksmith, though his inventions often backfire. During one attack, Hiccup believes he has shot down a Night Fury, an extremely rare and dangerous dragon. Hiccup later finds it in the forest trapped in his bolas, but finds that he can't bring himself to kill the dragon and instead sets it free. Question: where do they live in this film Answer: The Isle of Berk. Current Context: Text: Secrets of the Furious Five (also known as Kung Fu Panda: Secrets of the Furious Five) is an American animated short produced by DreamWorks Animation, which serves as a semi-sequel or spin-off to the animated feature film Kung Fu Panda and appears on a companion disc of the original film's deluxe DVD release. It was later broadcast on NBC on February 26, 2009 and is now available as a separate DVD as of March 24, 2009. Question: Question:What station did the award of Pierre Perifel winning short broadcast on? Answer:" + }, + "output": {} + }, + { + "id": "0068", + "input": { + "image_file": [ + "0068_0.jpg", + "0068_1.jpg" + ], + "prompt": "Drawing upon a pool of relevant data, including imagery, textual data, tables, and previous Q&A exchanges, your responsibility is to correctly answer the impending question.Global Table: History Context 1: Text: Christa B. Allen (born November 11, 1991) is an American actress. She is known for playing the younger version of Jennifer Garner's characters in 13 Going on 30 (2004) and Ghosts of Girlfriends Past (2009), as well as for her role as socialite Charlotte Grayson on the ABC drama series Revenge. Question: Who is the actress who played young jenna in 13 going on 30? Answer: Christa B. Allen. History Context 2: Table: Question: What was the character of her on Cory in the House? Answer: Cheyenne. History Context 3: Text: 13 Going on 30 (released as Suddenly 30 in some countries) is a 2004 American fantasy romantic comedy film written by Josh Goldsmith and Cathy Yuspa and directed by Gary Winick. Starring Jennifer Garner, the film was produced by Revolution Studios for Columbia Pictures, and was released on April 23, 2004. It follows a 13-year-old girl who dreams of being popular. During her birthday party, she is humiliated by classmates and wishes that she was 30 years old. When she eventually does emerge, she finds herself five days shy of her 30th birthday, uncertain how she got there. Question: who plays the main character in the former film Answer: Jennifer Garner. Current Context: Text: Christa B. Allen (born November 11, 1991) is an American actress. She is known for playing the younger version of Jennifer Garner's characters in 13 Going on 30 (2004) and Ghosts of Girlfriends Past (2009), as well as for her role as socialite Charlotte Grayson on the ABC drama series Revenge. Question: Who is the actor who played young Jenna in 13 Going on 30? Answer:" + }, + "output": {} + }, + { + "id": "0007", + "input": { + "image_file": [ + "0007_0.jpg", + "0007_1.jpg" + ], + "prompt": "Having a collection of pertinent data that comprises of images, text, tables, and past Q&A dialogues, your duty is to provide an accurate response to the following question.Global Table: History Context 1: Question: What's the location that has three sculptures shaped like swords that is listed among the teams and locations of 1993 Tippeligaen? Answer: Stavanger. Current Context: Text: Theatre of Tragedy was a Norwegian band from Stavanger, active between 1993 and 2010. They are best known for their earlier albums, which influenced the gothic metal genre. Text: Liv Kristine Espen\u00e6s (born 14 February 1976), better known as Liv Kristine, is a Norwegian singer-songwriter who has performed and composed songs mostly for various subgenres of heavy metal music. She started her career in the music industry as a vocalist for the gothic metal band Theatre of Tragedy, and is the former lead vocalist for the symphonic metal band Leaves' Eyes. She is known for her work in close association with her then-husband and leader of the German band Atrocity, Alexander Krull. Question: Liv Kristine is a member of what band that is from the city? Answer:" + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg" + ], + "prompt": "Given a set of relevant data, comprising images, text, tables, as well as prior Q&A interactions, please provide an accurate response to the subsequent query.Global Table: Current Context: Question: Did Frank Sinatra ever wear a hat? Answer:" + }, + "output": {} + }, + { + "id": "0040", + "input": { + "image_file": [ + "0040_0.jpg", + "0040_1.jpg" + ], + "prompt": "Provided with a diverse set of relevant data, encompassing images, texts, tables, and a record of past Q&A interactions, you're tasked with providing an accurate response to the subsequent query.Global Table: Current Context: Question: What is the TV show where Jessica Szoll plays Vanessa Abrams? Answer:" + }, + "output": {} + }, + { + "id": "0472", + "input": { + "image_file": [ + "0472_0.jpg", + "0472_1.jpg" + ], + "prompt": "Provided with a diverse set of relevant data, encompassing images, texts, tables, and a record of past Q&A interactions, you're tasked with providing an accurate response to the subsequent query.Global Table: History Context 1: Table: Question: What is the average enrollment in the public members in the current members of the America East Conference? Answer: 16672.375. History Context 2: Text: The University of Health and Allied Sciences (UHAS) is one of the youngest public universities in Ghana. It is located at Ho in the Volta Region of Ghana. Its operation started in September 2012, when the first batch of 154 students were admitted. Question: Professor John Owusu Gyapong is currently the Vice Chancellor of the University of Health and Allied Sciences, a public university in Ghana that started operation in what year? Answer: 2012. History Context 3: Text: Pittsburg State University, also called Pitt State or PSU, is a public university with approximately 7,479 students (6,000 undergraduates and 1,400 graduate students) located in Pittsburg, Kansas, United States. A large percentage of the student population consists of residents within the Pittsburg region; the gender proportion is relatively equal. Almost 89% of the students are Americans. Pitt State also has a 19:1 student-to-faculty ratio. It is a member of the Kansas Board of Regents. Currently, it has an endowment of around $74,000,000. The student newspaper of Pittsburg State University is the Collegio. Question: Ernest J. Schmidt (February 12, 1911 \u2013 September 6, 1986) was an American college basketball player born in Nashville, Kansas, he played college basketball for Kansas State Teachers College of Pittsburg in the early 1930s, Pittsburg State University PSU, is a public university with approximately 7,479 students, located in Pittsburg, Kansas in which country? Answer: United States. History Context 4: Text: The Ohio Valley Conference (OVC) is a collegiate athletic conference which operates in the Midwestern and Southeastern United States. It participates in Division I of the NCAA; the conference's football programs compete in the Football Championship Subdivision (FCS; formerly known as Division I-AA), the lower of two levels of Division I football competition. The OVC has 12 members, 9 of which compete in football in the conference. Text: The Samford Bulldogs are the 17 varsity teams (8 men's and 9 women's), recording championships from men's and women's track, men's and women's basketball, softball, baseball, soccer, volleyball, football, and men's and women's tennis that represent Samford University. The Men's basketball team made its first NCAA appearance in the 1999 and 2000 NCAA Men's Division I Basketball Tournament. The women's basketball team made its initial NCAA tournament appearance in the 2011 NCAA Women's Division I Basketball Tournament and made its second consecutive appearance in the tournament in 2012. The baseball team made its first NCAA tournament appearance in the 2012 NCAA Division I Baseball Tournament, reaching the finals of the Tallahassee Regional. Additionally, the softball team made its first NCAA Tournament Appearance in 2016. For the first time in history, the lady bulldogs won the Regular Season Championship as well as the Tournament Championship to cap off a record high of 40 wins on the season. The school is a member of the Southern Conference in Division I of the NCAA (FCS in football), after moving from the Ohio Valley Conference in 2008. The Samford Athletics staff is headed by athletic director Martin Newton, whose appointment was announced on March 9, 2011. Question: The Samford Bulldogs are the 17 varsity teams (8 men's and 9 women's), recording championships from men's and women's track, men's and women's basketball, softball, baseball, soccer, volleyball, football, and men's and women's tennis that represent Samford University, the school is a member of the Southern Conference in Division I of the NCAA (FCS in football), after moving from 2008, to which collegiate athletic conference which operates in the Midwestern and Southeastern United States? Answer: Ohio Valley Conference. Current Context: Text: The Colonial Athletic Association (CAA) is a collegiate athletic conference affiliated with the NCAA's Division I whose full-time members are located in East Coast states from Massachusetts to South Carolina. Most of its members are public universities, and the conference is headquartered in Richmond. The CAA was historically a Southern conference until the addition of five northeastern schools (all five from rival conference America East) after the turn of the 21st century, which added balance to the conference. Question: The 2013 Stony Brook Seawolves football team competed as first year members of an athletic conference headquartered in what city? Answer:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/Text-Table-ImageJointReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/Text-Table-ImageJointReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..70271ad67770fdf6fe2ec2a8e3cf1e77153a03d5 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/Text-Table-ImageJointReasoning/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Text-Table-Image Joint Reasoning", + "data_source": "multimodalqa", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0452", + "input": { + "image_file": [ + "0452_0.jpg", + "0452_1.jpg" + ], + "prompt": "Using the array of information, including imagery, textual data, and tables, could you provide an accurate answer to the posed question? You must choose your answer from the Choice List. Global Table: Context: Question: The StarFlyer destination where they land at Haneda Airport has what structure shown in the middle right view?Choice list:['bridge', 'lake', 'building', 'tower']. Your answer is:" + }, + "output": {} + }, + { + "id": "0415", + "input": { + "image_file": [ + "0415_0.jpg", + "0415_1.jpg" + ], + "prompt": "Using the relevant information I provide, which encompasses images, text, and tables, please accurately answer the question. You must choose your answer from the Choice List. Global Table: Context: Question: Which series features a girl in bikini top on its poster, among tv series of Hayley Kiyoko?Choice list:['Blue Lagoon: The Awakening', 'Lemonade Mouth', 'Grown Ups 2', 'Jem and the Holograms']. Your answer is:" + }, + "output": {} + }, + { + "id": "0485", + "input": { + "image_file": [ + "0485_0.jpg", + "0485_1.jpg" + ], + "prompt": "With the aid of provided information like images, text, and tables, your assignment is to respond correctly to the question. You must choose your answer from the Choice List. Global Table: Context: Question: What mathaematical sign is the Chevrolet logo similar to?Choice list:['minus', 'plus', 'times', 'division']. Your answer is:" + }, + "output": {} + }, + { + "id": "0088", + "input": { + "image_file": [ + "0088_0.jpg", + "0088_1.jpg" + ], + "prompt": "With the aid of provided information like images, text, and tables, your assignment is to respond correctly to the question. You must choose your answer from the Choice List. Global Table: Context: Question: The background of this advertisement for Another World (TV series) resembles which body part?Choice list:['hand', 'eye', 'ear', 'foot']. Your answer is:" + }, + "output": {} + }, + { + "id": "0230", + "input": { + "image_file": [ + "0230_0.jpg", + "0230_1.jpg" + ], + "prompt": "Given a collection of relevant data, which includes images, text, and tables, your task is to respond accurately to the ensuing question. You must choose your answer from the Choice List. Global Table: Context: Question: What type of art is the sheet trying to communicate?Choice list:['music', 'sculpture', 'photography', 'painting']. Your answer is:" + }, + "output": {} + }, + { + "id": "0358", + "input": { + "image_file": [ + "0358_0.jpg", + "0358_1.jpg" + ], + "prompt": "Using the array of information, including imagery, textual data, and tables, could you provide an accurate answer to the posed question? You must choose your answer from the Choice List. Global Table: Context: Question: What type of pattern is the background behind P. Susheela?Choice list:['polka dot', 'checkered', 'plaid', 'striped']. Your answer is:" + }, + "output": {} + }, + { + "id": "0087", + "input": { + "image_file": [ + "0087_0.jpg", + "0087_1.jpg" + ], + "prompt": "Using the relevant information I provide, which encompasses images, text, and tables, please accurately answer the question. You must choose your answer from the Choice List. Global Table: Context: Question: What body part does Julie Nathanson's Maggie Cory Live-action advertisement background title resemble?Choice list:['eye', 'hand', 'nose', 'mouth']. Your answer is:" + }, + "output": {} + }, + { + "id": "0221", + "input": { + "image_file": [ + "0221_0.jpg", + "0221_1.jpg" + ], + "prompt": "With the amalgam of information provided, encompassing images, texts, and tables, please construct a correct answer to the following question. You must choose your answer from the Choice List. Global Table: Context: Question: What is each Cadet holding in his right hand?Choice list:['rifle', 'knife', 'gun', 'sword']. Your answer is:" + }, + "output": {} + }, + { + "id": "0105", + "input": { + "image_file": [ + "0105_0.jpg", + "0105_1.jpg" + ], + "prompt": "Utilizing the information, including images, text, and tables that I provide, could you provide a correct answer to the following question? You must choose your answer from the Choice List. Global Table: Context: Question: For the country known as the 'down under' what are the colour of the stars on that countries flag?Choice list:['white', 'green', 'yellow', 'blue']. Your answer is:" + }, + "output": {} + }, + { + "id": "0180", + "input": { + "image_file": [ + "0180_0.jpg", + "0180_1.jpg" + ], + "prompt": "Relying on the furnished information, which includes graphics, text, and tabular data, could you provide an accurate response to the following question? You must choose your answer from the Choice List. Global Table: Context: Question: Which State(s), in Major cities of Sun Belt, flag has a bear?Choice list:['Texas', 'Arizona', 'California', 'Florida']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/TextManipulationClassification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/TextManipulationClassification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7d25043b59524b56d310f883a3aefd667bd31b0b --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/TextManipulationClassification/annotation.json @@ -0,0 +1,124 @@ +{ + "task": "Text Manipulation Classification", + "data_source": "https://tianchi.aliyun.com/competition/entrance/532048/information", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": "Ethics", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "category": "tampered, untampered" + }, + "data": [ + { + "input": { + "image_file": "tmc_0222.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0222" + }, + { + "input": { + "image_file": "tmc_0013.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0013" + }, + { + "input": { + "image_file": "tmc_0499.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0499" + }, + { + "input": { + "image_file": "tmc_0261.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0261" + }, + { + "input": { + "image_file": "tmc_0112.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0112" + }, + { + "input": { + "image_file": "tmc_0221.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0221" + }, + { + "input": { + "image_file": "tmc_0418.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0418" + }, + { + "input": { + "image_file": "tmc_0195.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0195" + }, + { + "input": { + "image_file": "tmc_0187.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0187" + }, + { + "input": { + "image_file": "tmc_0360.jpg", + "prompt": "recognize text manipulation in the image. Return tampered or untampered." + }, + "output": { + "text": "Unavailable" + }, + "id": "tmc_0360" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/TextbookDiagramVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/TextbookDiagramVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5c7f818e89780fb1b65acbabc462db5db3757cb1 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/TextbookDiagramVQA/annotation.json @@ -0,0 +1,145 @@ +{ + "set_type": "closeset", + "task": "Textbook Diagram VQA", + "data_source": "TQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "Education", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0161", + "input": { + "image_file": [ + "0161_0.jpg", + "0161_1.jpg", + "0161_2.jpg" + ], + "prompt": "Based on a series of diagrams from a textbook, your job is to correctly answer the forthcoming question. You must choose your answer from the Choice List.Question: Which are the newest rock layers according to the Law of Superposition?Choice list:['C', 'D', 'B', 'A']. Your answer is:" + }, + "output": {} + }, + { + "id": "0385", + "input": { + "image_file": [ + "0385_0.jpg", + "0385_1.jpg", + "0385_2.jpg", + "0385_3.jpg" + ], + "prompt": "Given an assortment of diagrams from a textbook, please provide an accurate response to the next question. You must choose your answer from the Choice List.Question: Does this reaction satisfy the law of conservation of mass?Choice list:['Data Insufficient', 'Can't say', 'No', 'Yes']. Your answer is:" + }, + "output": {} + }, + { + "id": "0246", + "input": { + "image_file": [ + "0246_0.jpg", + "0246_1.jpg" + ], + "prompt": "Upon reviewing a collection of diagrams from a textbook, your job is to accurately respond to the following question. You must choose your answer from the Choice List.Question: What is the machine represented with the letter L?Choice list:['INCLINED PLANE', 'WEDGE', 'LEVER', 'PULLEY']. Your answer is:" + }, + "output": {} + }, + { + "id": "0283", + "input": { + "image_file": [ + "0283_0.jpg", + "0283_1.jpg", + "0283_2.jpg" + ], + "prompt": "Provided with a series of diagrams from a textbook, your responsibility is to correctly answer the following question. You must choose your answer from the Choice List.Question: What part of the ear separates the outer and the inner ear?Choice list:['eustachian tube', 'pinna', 'ear drum', 'ossicles']. Your answer is:" + }, + "output": {} + }, + { + "id": "0237", + "input": { + "image_file": [ + "0237_0.jpg", + "0237_1.jpg", + "0237_2.jpg", + "0237_3.jpg" + ], + "prompt": "Using a selection of textbook diagrams, your task is to provide an accurate response to the subsequent query. You must choose your answer from the Choice List.Question: Which part of the earthworm is at the rearmost?Choice list:['mouth', 'setae', 'gizzard', 'anus']. Your answer is:" + }, + "output": {} + }, + { + "id": "0325", + "input": { + "image_file": [ + "0325_0.jpg", + "0325_1.jpg", + "0325_2.jpg", + "0325_3.jpg" + ], + "prompt": "Given an assortment of diagrams from a textbook, please provide an accurate response to the next question. You must choose your answer from the Choice List.Question: How many types of wall are there?Choice list:['1', '3', '4', '2']. Your answer is:" + }, + "output": {} + }, + { + "id": "0390", + "input": { + "image_file": [ + "0390_0.jpg", + "0390_1.jpg", + "0390_2.jpg", + "0390_3.jpg" + ], + "prompt": "Using the textbook diagrams provided, your task is to correctly answer the ensuing query. You must choose your answer from the Choice List.Question: How many types of lens are there in a compound microscope?Choice list:['1', '4', '3', '2']. Your answer is:" + }, + "output": {} + }, + { + "id": "0021", + "input": { + "image_file": [ + "0021_0.jpg", + "0021_1.jpg", + "0021_2.jpg" + ], + "prompt": "Using a collection of textbook diagrams as your reference, please respond accurately to the following query. You must choose your answer from the Choice List.Question: How many parts make up the internal structure of the Sun?Choice list:['1', '2', '4', '3']. Your answer is:" + }, + "output": {} + }, + { + "id": "0492", + "input": { + "image_file": [ + "0492_0.jpg", + "0492_1.jpg", + "0492_2.jpg", + "0492_3.jpg" + ], + "prompt": "Using a selection of textbook diagrams, your task is to provide an accurate response to the subsequent query. You must choose your answer from the Choice List.Question: What separates confined and unconfined aquifers?Choice list:['Very Low hydraulic-conductivity confining bedrock', 'Low hydraulic-conductivity confining unit', 'Unsaturated zone', 'High hydraulic-conductivity confining aquifer']. Your answer is:" + }, + "output": {} + }, + { + "id": "0335", + "input": { + "image_file": [ + "0335_0.jpg", + "0335_1.jpg", + "0335_2.jpg" + ], + "prompt": "Given various diagrams sourced from a textbook, your duty is to accurately answer the subsequent question. You must choose your answer from the Choice List.Question: In the Greenhouse Effect, what happens to most radiation?Choice list:['it is absorbed and re-emitted in all directions', 'passes through the atmosphere', 'it is absorbed by the Earth's surface and warms it', 'is reflected by the Earth and the atmosphere']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/TextualDocumentVQA/annotation.json b/Scope-A/S-A-Quick/image/comprehension/TextualDocumentVQA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..29106e5b960cf73185e72bfbe3ad91a3622e061b --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/TextualDocumentVQA/annotation.json @@ -0,0 +1,133 @@ +{ + "set_type": "closeset", + "task": "Textual Document VQA", + "data_source": "OCR-VQA", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0055", + "input": { + "image_file": [ + "0055_0.jpg", + "0055_1.jpg" + ], + "prompt": "I will display two visuals of the book cover. Please observe the visuals and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['Medical Books', 'Health, Fitness & Dieting', 'not the same', 'Travel']. Your answer is:" + }, + "output": {} + }, + { + "id": "0122", + "input": { + "image_file": [ + "0122_0.jpg", + "0122_1.jpg" + ], + "prompt": "I will provide you with two images of the book cover. Please examine the images and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['Medical Books', 'Crafts, Hobbies & Home', 'Travel', 'not the same']. Your answer is:" + }, + "output": {} + }, + { + "id": "0333", + "input": { + "image_file": [ + "0333_0.jpg", + "0333_1.jpg", + "0333_2.jpg" + ], + "prompt": "I will give you two pictures of the book cover. Please look at the pictures and answer a question. You must choose your answer from the Choice List. The City in the City: Berlin: A Green ArchipelagoThe Ed Ponsi Forex Playbook: Strategies and Trade Set-UpsSomalia Investment And Business GuideQuestion: Please give the correct text order corresponding to each bookchooseChoice list:['0,1,2', '0,2,1', '1,0,2', '1,2,0', '2,0,1', '2,1,0']. Your answer is:" + }, + "output": {} + }, + { + "id": "0083", + "input": { + "image_file": [ + "0083_0.jpg", + "0083_1.jpg" + ], + "prompt": "I will upload two illustrations of the book cover. Please scrutinize the illustrations and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['Medical Books', 'Religion & Spirituality', 'Science & Math', 'not the same']. Your answer is:" + }, + "output": {} + }, + { + "id": "0150", + "input": { + "image_file": [ + "0150_0.jpg", + "0150_1.jpg" + ], + "prompt": "I will give you two pictures of the book cover. Please look at the pictures and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['not the same', 'Law', 'Health, Fitness & Dieting', 'Children's Books']. Your answer is:" + }, + "output": {} + }, + { + "id": "0380", + "input": { + "image_file": [ + "0380_0.jpg", + "0380_1.jpg" + ], + "prompt": "I will provide you with two images of the book cover. Please examine the images and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2015', 'not the same', '2017', '2016']. Your answer is:" + }, + "output": {} + }, + { + "id": "0371", + "input": { + "image_file": [ + "0371_0.jpg", + "0371_1.jpg" + ], + "prompt": "I will send you two screenshots of the book cover. Please examine the screenshots and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2016', '2017', 'not the same', '2015']. Your answer is:" + }, + "output": {} + }, + { + "id": "0024", + "input": { + "image_file": [ + "0024_0.jpg", + "0024_1.jpg", + "0024_2.jpg" + ], + "prompt": "I will give you two pictures of the book cover. Please look at the pictures and answer a question. You must choose your answer from the Choice List. Allergy & Candida Cooking Made EasyLinux BibleMartyrdom in Modern Islam: Piety, Power, and PoliticsQuestion: Please give the correct text order corresponding to each bookchooseChoice list:['0,1,2', '0,2,1', '1,0,2', '1,2,0', '2,0,1', '2,1,0']. Your answer is:" + }, + "output": {} + }, + { + "id": "0069", + "input": { + "image_file": [ + "0069_0.jpg", + "0069_1.jpg" + ], + "prompt": "I will send you two screenshots of the book cover. Please examine the screenshots and answer a question. You must choose your answer from the Choice List. Question: Are the following two books published in the same year?Choice list:['2017', '2016', 'not the same', '2015']. Your answer is:" + }, + "output": {} + }, + { + "id": "0064", + "input": { + "image_file": [ + "0064_0.jpg", + "0064_1.jpg" + ], + "prompt": "I will provide you with two depictions of the book cover. Please evaluate the depictions and answer a question. You must choose your answer from the Choice List. Question: Are these two books in the same field?Choice list:['not the same', 'Cookbooks, Food & Wine', 'Crafts, Hobbies & Home', 'Business & Money']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/TileAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/TileAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8c987d8d7ccfd3ebe4078e484b348c02b1a25cbd --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/TileAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "tile anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "34", + "input": { + "image_file": "34.png", + "prompt": "Detect the anomaly region of the tile" + } + }, + { + "id": "33", + "input": { + "image_file": "33.png", + "prompt": "Detect the anomaly region of the tile" + } + }, + { + "id": "28", + "input": { + "image_file": "28.png", + "prompt": "Detect the anomaly region of the tile" + } + }, + { + "id": "4", + "input": { + "image_file": "4.png", + "prompt": "Detect the anomaly region of the tile" + } + }, + { + "id": "48", + "input": { + "image_file": "48.png", + "prompt": "Detect the anomaly region of the tile" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ToothbrushAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ToothbrushAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..40309bb49cc22b1a8e7e615d5fcda043c0efc3d9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ToothbrushAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "toothbrush anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "0", + "input": { + "image_file": "0.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "7", + "input": { + "image_file": "7.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "13", + "input": { + "image_file": "13.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "9", + "input": { + "image_file": "9.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "4", + "input": { + "image_file": "4.png", + "prompt": "Detect the anomaly region of the leather" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/TransistorAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/TransistorAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88543abe69c1e72ae53788afe0633f1e8aca8df9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/TransistorAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "transistor anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "14", + "input": { + "image_file": "14.png", + "prompt": "Detect the anomaly region of the 'transistor" + } + }, + { + "id": "1", + "input": { + "image_file": "1.png", + "prompt": "Detect the anomaly region of the 'transistor" + } + }, + { + "id": "5", + "input": { + "image_file": "5.png", + "prompt": "Detect the anomaly region of the 'transistor" + } + }, + { + "id": "21", + "input": { + "image_file": "21.png", + "prompt": "Detect the anomaly region of the 'transistor" + } + }, + { + "id": "23", + "input": { + "image_file": "23.png", + "prompt": "Detect the anomaly region of the 'transistor" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/VisualStepCompletion/annotation.json b/Scope-A/S-A-Quick/image/comprehension/VisualStepCompletion/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ae2cbc661f6e79a4282aee174ed358a66516ad9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/VisualStepCompletion/annotation.json @@ -0,0 +1,341 @@ +{ + "set_type": "closeset", + "task": "Visual Step Completion", + "data_source": "RecipeQA_VisualCloze", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0058", + "input": { + "image_file": [ + "0058_0.jpg", + "0058_1.jpg", + "0058_2.jpg", + "0058_3.jpg", + "0058_4.jpg", + "0058_5.jpg", + "0058_6.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the most suitable image to fill in the blank space, thereby accurately finishing the recipe image series. You must choose your answer from the Choice List. Recipe: easy-tuna-fritters\nDetails: Step#1: INGREDIENTS: 3 fresh eggs1 tin flavored tuna - my fave is sweet chili or tomato and basil1/2 cup chopped parsley6 heaped tablespoons \"My Baking Mix\" (add more if needed)METHODBreak the eggs into a bowl along with the parsley, tuna and \"My Baking Mix\" Lightly whisk until combined Add more \"My Baking Mix\" if batter is a bit thin. \nStep#2: \"MY BAKING MIX\": INGREDIENTS4 1/4 C plain flour 1/4 C baking powder 113g (4oz) butter - room temperature METHODCut butter into cubes. \nStep#3: FRYING THE FRITTERS: Allow your non stick pan to become hot. \nStep#4: COOK OTHER SIDE: Turn when bubbles start to appear on the top, don't wait too long as they will be too browned. \nStep#5: KEEP COOKED FRITTERS WARM: As each batch is cooked remove from pan and lay on a paper towel to drain any excess oil Keep in a warmed oven or drawer. \nStep#6: SERVE: Make a bed of green salad to lay the fritters onto as shown in the photo and serveThese are also delicious with green beans and creamy mashed carrot & potato with a dash of herb and garlic salt and a little sweet chili sauce on the sideAs a party snack - Try making them smaller and arrange on a dinner plate with a small bowl in the center of sweet chili sauce mixed with a little mayo as a dip. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0468", + "input": { + "image_file": [ + "0468_0.jpg", + "0468_1.jpg", + "0468_2.jpg", + "0468_3.jpg", + "0468_4.jpg", + "0468_5.jpg", + "0468_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: turtle-icebox-cookies\nDetails: Step#1: Getting Started: The great thing about making these cookies is that you don't need a turtle shaped cookie cutter nor do you have to make any frosting. \nStep#2: Make the Dough: Cream the butter with the two sugars. \nStep#3: Make a Dough Log: Split the vanilla dough in half. \nStep#4: Shaping the Dough: Once the dough log is firm, remove it from the refrigerator. \nStep#5: Baking the Cookies: Preheat oven to 325\u00b0F. \nStep#6: Decorating the Cookies: Melt a bit of semisweet chocolate. \nStep#7: To Finish: Wait for the chocolate to harden and then enjoy! These cookies should remain fresh up to a week in an airtight container. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0226", + "input": { + "image_file": [ + "0226_0.jpg", + "0226_1.jpg", + "0226_2.jpg", + "0226_3.jpg", + "0226_4.jpg", + "0226_5.jpg", + "0226_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: diy-sphero-cupcakes\nDetails: Step#1: Supplies: In order to make cupcakes that resemble your robotic buddy and taste as good as bacon, we suggest gathering these supplies. \nStep#2: Baking the Batter: As most of you know, the essential part of a cupcake is the actual cake. \nStep#3: Rolling the Fondant: While your cupcakes bake, cut out circles of fondant with your circle cutter or pull quarter sized pieces of fondant off with your fingers. \nStep#4: Decorating Your Cupcake: Once you have plenty of balls of fondant prepared and your cupcakes have finished baking, ice each of your cupcakes with your Betty Crocker Cupcake Icing. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0284", + "input": { + "image_file": [ + "0284_0.jpg", + "0284_1.jpg", + "0284_2.jpg", + "0284_3.jpg", + "0284_4.jpg", + "0284_5.jpg", + "0284_6.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the most suitable image to fill in the blank space, thereby accurately finishing the recipe image series. You must choose your answer from the Choice List. Recipe: pumpkin-spice-creamer\nDetails: Step#1: Things You'll Need: Ingredients:1 1/2 Cups Whole Milk*1/3 Cup Pumpkin Puree1 Teaspoon Vanilla1 Teaspoon Pumpkin Pie Spice**1 Can of Condensed Milk1 Cinnamon StickTools:SaucepanSpoon or Whisk to stirMason Jar or Tupperware to Store*NOTE: You can substitute the milk with half & half if you'd like a thicker, creamier end product. \nStep#2: Combine and Heat: Combine your milk, pumpkin puree, vanilla, cinnamon stick and pumpkin pie spice in your saucepan. \nStep#3: Cool: Remove your saucepan from the heat once it has simmered for at least a minute. \nStep#4: Add Condensed Milk: Once your creamer has cooled, add your can of condensed milk. \nStep#5: Storage: Pour your freshly made pumpkin spice creamer into a mason jar or other air tight container. \nStep#6: Enjoy!: You're done. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0360", + "input": { + "image_file": [ + "0360_0.jpg", + "0360_1.jpg", + "0360_2.jpg", + "0360_3.jpg", + "0360_4.jpg", + "0360_5.jpg", + "0360_6.jpg" + ], + "prompt": "With a text-only recipe tutorial at hand, your job is to attentively study it and select the most fitting image to complete the missing part, thereby correctly concluding the recipe image series. You must choose your answer from the Choice List. Recipe: yerba-mate-liqueur\nDetails: Step#1: Why This Name and a Bit of History: Yerba Mate is a native plant of South America. \nStep#2: Ingredients: Here there are ingredients for 500ml of liqueur circa. \nStep#3: Prepare a Sugar Water: First of all, put the water and all the brown sugar in a panPut the pot on the stoveTurn the water with a spoon to dissolve the sugar completely, like in the picture. \nStep#4: Add the Mate: Add the mate to the sugar waterContinue turning the water and mate with a spoon for 2-3 minutesLeave the mate settle on the bottom: it takes 10 minutes to be a perfect infused drink, due to the quantity of mate used. \nStep#5: Filter the Brew: Separate the mate from the water through a sieve. \nStep#6: Add Alcool And... Drink Responsibly!: At the end, put the alcool in the filtered brew and mix; it's possible that some powder could still be there, so take care to remove it eventually!Put in a freezer. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0056", + "input": { + "image_file": [ + "0056_0.jpg", + "0056_1.jpg", + "0056_2.jpg", + "0056_3.jpg", + "0056_4.jpg", + "0056_5.jpg", + "0056_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: easy-coconut-macaroons\nDetails: Step#1: Beat the Eggs: \n\t(Preheat your oven to 300 deg F)\n\tPut your egg whites in a bowl and add the salt. \nStep#2: Fold in the Coconut and Milk: \n\tPour the sweetened condensed milk and shredded coconut into the bowl. \nStep#3: Scoop Out the Cookies: \n\tUse an ice cream scoop or a pair of spoons to scoop out the cookies onto parchment lined cookie sheets. \nStep#4: Bake at 300 Deg: \n\tBake the cookies for ~25 minutes at 300 deg, or until golden brown and toasty. \nStep#5: Eat: \n\tLet the macaroons cool a bit, then eat! I prefer mine at room temperature, but some people like them warm. \nStep#6: Optional: \n\tI decided to dip the tops of some of my (cooled) macaroons in chocolate, mostly because I could. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0048", + "input": { + "image_file": [ + "0048_0.jpg", + "0048_1.jpg", + "0048_2.jpg", + "0048_3.jpg", + "0048_4.jpg", + "0048_5.jpg", + "0048_6.jpg" + ], + "prompt": "Using a recipe tutorial written in text, your responsibility is to examine it carefully and choose the best-suited image to fill the void, effectively completing the recipe image sequence. You must choose your answer from the Choice List. Recipe: oven-baked-couscous\nDetails: Step#1: Ingredients: I slightly changed the ingredients from the originally published recipe as I didn't want to waste the juice from one of the lemons and didn't have any parsley to hand. \nStep#2: Zest and Juice the Lemons: Lacking a lemon zester, I use a potato peeler to take thin strips off the outside of the fruit. \nStep#3: Sliver the Alium: Which is a posh way of saying \"thinly slice the garlic and onions. \nStep#4: A Date? You're Nuts.: Chop the almonds and chop the dates. \nStep#5: Chicken Stock: The stock I'd made was pretty concentrated, which is good for flavour, but this is the main liquid being added to the couscous, so it had to be diluted to the 350ml volume required. \nStep#6: Browning the Chicken: The thigh fillets were a decent size, so I chopped each of them into four pieces. \nStep#7: Adding the Couscous: Usually I feel that near enough is good enough, but since the liquid absorption is so crucial to cooking couscous, I measured the required amount. \nStep#8: Cook the Rest of the Ingredients: Soften the onion and garlic in the second half of the olive oil. \nStep#9: Serve: Out of the oven and ready to dish up. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0105", + "input": { + "image_file": [ + "0105_0.jpg", + "0105_1.jpg", + "0105_2.jpg", + "0105_3.jpg", + "0105_4.jpg", + "0105_5.jpg", + "0105_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: pumpkin-spice-creamer\nDetails: Step#1: Things You'll Need: Ingredients:1 1/2 Cups Whole Milk*1/3 Cup Pumpkin Puree1 Teaspoon Vanilla1 Teaspoon Pumpkin Pie Spice**1 Can of Condensed Milk1 Cinnamon StickTools:SaucepanSpoon or Whisk to stirMason Jar or Tupperware to Store*NOTE: You can substitute the milk with half & half if you'd like a thicker, creamier end product. \nStep#2: Combine and Heat: Combine your milk, pumpkin puree, vanilla, cinnamon stick and pumpkin pie spice in your saucepan. \nStep#3: Cool: Remove your saucepan from the heat once it has simmered for at least a minute. \nStep#4: Add Condensed Milk: Once your creamer has cooled, add your can of condensed milk. \nStep#5: Storage: Pour your freshly made pumpkin spice creamer into a mason jar or other air tight container. \nStep#6: Enjoy!: You're done. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0237", + "input": { + "image_file": [ + "0237_0.jpg", + "0237_1.jpg", + "0237_2.jpg", + "0237_3.jpg", + "0237_4.jpg", + "0237_5.jpg", + "0237_6.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and opt for the best image to fill the missing section, correctly rounding off the recipe image sequence. You must choose your answer from the Choice List. Recipe: holiday-inside-out-oreo-balls\nDetails: Step#1: Ingredients: So what are you going to need to rustle up some of these delicious cookies?\nThe Basic Ingredients are as follows (but don't be scared to modify it)\n1 Package of Oreos (Any kind EXCEPT double stuff)\n1 Package Cream Cheese (8 oz. \nStep#2: Kitchen Materials: The materials for this are pretty minimal but you will need. \nStep#3: CRUSH Those Cookies and Mix in the Cream Cheese: This is really fun if you want to go the ziploc/crushingpin route. \nStep#4: Place in Freezer... Then Roll Oreo Balls: Remember to place the bowl in freezer to chill for approximately 2 hours. \nStep#5: Melt Chocolate and Coat Oreo Balls: Next, mix the chocolate with the shortening and melt either on the stove (put water in pot, put on medium heat, place bowl in water) or in the microwave. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0231", + "input": { + "image_file": [ + "0231_0.jpg", + "0231_1.jpg", + "0231_2.jpg", + "0231_3.jpg", + "0231_4.jpg", + "0231_5.jpg", + "0231_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: easy-meals-1-italian-sausage-balls-and-3-cheese-to\nDetails: Step#1: What You Will Need: 1lb ground Italian sausage 1 green pepperChopped fresh basil (4-5 leaves)1 can mushroom pasta sauce 1 jar of vodka sauce Grated ParmesanBag of 3 cheese blend cheese1 bag frozen cheese tortellini3 cheese garlic bread . \nStep#2: Roll and Bake Your Sausage: First I roll my ground sausage into balls maybe ping pong size. \nStep#3: Boil Tortellini: Boil to tortellini for about 15 minutes or until the insides reach 165 for 12 seconds. \nStep#4: Throw in Your Garlic Bread: Put in your garlic bread for 5-7 minutes. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0080", + "input": { + "image_file": [ + "0080_0.jpg", + "0080_1.jpg", + "0080_2.jpg", + "0080_3.jpg", + "0080_4.jpg", + "0080_5.jpg", + "0080_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: pie-in-a-jar\nDetails: Step#1: Ingredients: I always include \"Ingredients\" as my first step. \nStep#2: Blackberry Filling: \n Here's how I made these particular little bites of heaven:Peel, core and slice 4 Granny Smith applesDice 1/2 cup blackberriesMelt 1/4 cup unsalted butter in a saucepan. \nStep#3: Prepare Jars: Boil your jars and lids for 10 minutes if you're at sea level, and one minute for each 1000 feet of elevation above sea level. \nStep#4: Fill Jars: Fill your jars with the pie crust. \nStep#5: Freeze or Bake: You can't store these in the freezer forever - they're not sealed like jams are. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0249", + "input": { + "image_file": [ + "0249_0.jpg", + "0249_1.jpg", + "0249_2.jpg", + "0249_3.jpg", + "0249_4.jpg", + "0249_5.jpg", + "0249_6.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and opt for the best image to fill the missing section, correctly rounding off the recipe image sequence. You must choose your answer from the Choice List. Recipe: pretzels-and-pretzel-nuggets\nDetails: Step#1: Making the Dough: I use a slightly modified version of Alton Brown's pretzel recipe. \nStep#2: The Dip: just like in Roger Rabbit this is nasty stuff. \nStep#3: Nuggets: These are easy. \nStep#4: Pretzels: You start the same way rolling the dough into a 1 inch round log. \nStep#5: Eating: Your reward is here. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0088", + "input": { + "image_file": [ + "0088_0.jpg", + "0088_1.jpg", + "0088_2.jpg", + "0088_3.jpg", + "0088_4.jpg", + "0088_5.jpg", + "0088_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: what-to-do-when-you-have-too-much-kale\nDetails: Step#1: Wash the Leaves: Even if you grow \"organic\" and don't use pesticides and such you can get all sorts of nasty in your garden over a summer. \nStep#2: Dehydrate: Get yourself a cheap dehydrator, or you can use your oven. \nStep#3: Will It Blend?: Take the dry, crunchy leaves and put them in a blender, food processor, or one of those little personal blenders like this on and set it to low. \nStep#4: Sift: At this point I took a pot and a splatter screen and used these to sift the powder. \nStep#5: The Best Part.: The powder you see here is after about 5 rounds of drying, and is about 1/3 of the garden so far. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0430", + "input": { + "image_file": [ + "0430_0.jpg", + "0430_1.jpg", + "0430_2.jpg", + "0430_3.jpg", + "0430_4.jpg", + "0430_5.jpg", + "0430_6.jpg" + ], + "prompt": "Given a text-based recipe guide, your responsibility is to meticulously review it and choose the most fitting image to fill the missing gap, ensuring the recipe image series is completed correctly. You must choose your answer from the Choice List. Recipe: how-to-make-simple-spicy-rosemary-thins\nDetails: Step#1: To Make the Dough: Finely chop together the rosemary and chilli flakes. \nStep#2: Roll & Chill: Tip the dough out onto a sheet of grease proof or baking paper and knead gently into a log shape. \nStep#3: Slice: Meanwhile, preheat your oven to 180\u00b0C/Fan 160\u00b0C & line a baking tray with baking paper or a silicone baking sheet. \nStep#4: Bake: Place the chilled discs onto the baking tray, slightly spaced apart to allow for spreading. \nStep#5: Tadah!: Leave them on the tray for a minute or two to harden then transfer to a wire rack to cool completely. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0358", + "input": { + "image_file": [ + "0358_0.jpg", + "0358_1.jpg", + "0358_2.jpg", + "0358_3.jpg", + "0358_4.jpg", + "0358_5.jpg", + "0358_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: easy-bake-water-crackers\nDetails: Step#1: Ingredients and Tools: Ingredients:1)\u00a0 All-Purpose White Flour - 1/2 Cup,2)\u00a0 Margarine - 1 Tbl spoon,3)\u00a0 Water - 2 Tbl spoons and4)\u00a0 Salt - Pinch to taste. \nStep#2: Dry Ingredients: 1)\u00a0 Sift (\u201cEd Nygma\u201d) Flour into Mixing Bowl, (\"8 of 9\")2)\u00a0 Add Salt and3)\u00a0 Pre-heat Toaster Oven (\"Red\") to 400 F. \nStep#3: Add Margarine: 1)\u00a0 Add 1 Tbsp of Margarine and2)\u00a0 Mash the Margarine into the flour. \nStep#4: Add Water: 1)\u00a0 Add Water and2)\u00a0 Mix well. \nStep#5: Roll: The dough should have a light coating of flour so your hands and \"King\" do not stick. \nStep#6: Prepare to Bake: 1)\u00a0 Cut to size, (Round, Square or any shape)\u00a0 I prefer squarish shapes so that I won't have to spend time combining and rolling left over edges. \nStep#7: Bake: 1)\u00a0 Place Cookie sheet in preheated Oven for 4 mins or until crackers start to brown, (Note: Cooking time depends upon thickness of crackers and 1/2 way through cooking turn the pan around, so the ones in back are now in the front this way the crackers won't over cook. \nStep#8: Observations & Summary: Observations The benefits of this are:1)\u00a0 Quick and easy snack or side dish. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0295", + "input": { + "image_file": [ + "0295_0.jpg", + "0295_1.jpg", + "0295_2.jpg", + "0295_3.jpg", + "0295_4.jpg", + "0295_5.jpg", + "0295_6.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the most suitable image to fill in the missing blank, thereby accurately completing the recipe image series. You must choose your answer from the Choice List. Recipe: caffeinated-chai-iced-or-hot\nDetails: Step#1: What You Need: Coffee:\nabout 2 cups of strong coffee\n1/4 tsp allspice\n1/2 tsp cinnamon\u00a0\nabout 1/8 of ginger\nPinch of nutmeg\n1 cinnamon stick or an additional 1/2 tsp of cinnamon\n1/2 c sugar to taste\n1/2 c milkSupplies:\nIce Tray (if making chilled)\nSomething to mix spices in\nA big pot. \nStep#2: Brew Up the Coffee: Make a strong cup of coffee, too watery and it'll be too sweet at the end. \nStep#3: Mix Together the Spices: 1/4 tsp allspice\n1/2 tsp cinnamon\nabout 1/8 of ginger\nPinch of nutmeg\nand if not using the cinnamon stick add 1/2 tsp of cinnamon\nDo not mix the sugar yet. \nStep#4: Heat Everything Up and Enjoy: Combine Coffee, cinnamon stick and spices in big pot over med-high heat. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0124", + "input": { + "image_file": [ + "0124_0.jpg", + "0124_1.jpg", + "0124_2.jpg", + "0124_3.jpg", + "0124_4.jpg", + "0124_5.jpg", + "0124_6.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the most suitable image to fill in the missing blank, thereby accurately completing the recipe image series. You must choose your answer from the Choice List. Recipe: boozy-pecan-fudge\nDetails: Step#1: Ingredients: 3 cups of sugar1 stick unsalted butter (chopped)1/4 tsp sea salt1/4+ cup bourbon (to taste)1 can evaporated milk (5oz)8-12oz marshmallows (or marshmallow cream)1 tsp vanilla extract (or bourbon vanilla extract if you have it)1 bag semi-sweet chocolate chips1/2-3/4 cup chopped pecans (toasted lightly at 350 if you prefer). \nStep#2: The First 6: To a large pot, add the butter, salt, sugar, evaporated milk, bourbon and marshmallows. \nStep#3: The Last 3: After 5 minutes of boiling, pour the chocolate chips and vanilla into the pot and remove from heat. \nStep#4: Done!: Transfer the melted chocolate mixture to a buttered dish and allow to cook. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0367", + "input": { + "image_file": [ + "0367_0.jpg", + "0367_1.jpg", + "0367_2.jpg", + "0367_3.jpg", + "0367_4.jpg", + "0367_5.jpg", + "0367_6.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and select the optimal image for the missing blank, thus correctly finalizing the recipe image series. You must choose your answer from the Choice List. Recipe: very-easy-chocolate-fondant\nDetails: Step#1: Ingredients: 40 g Caster Sugar40 g Cake Flower30 ml Cacao80 g Butter80 g Dark Chocolate2 Eggs1 Egg yolk. \nStep#2: Melting the Chocolate: Prepare a double cooker on the stove. \nStep#3: Preparing the Batter: Add the sugar, eggs and egg yolk into a mixing bowl and mix it thoroughly. \nStep#4: Baking: Prepare the mold of your choice with spray and cook or line it with butter and devide the batter equally into four molds. \nStep#5: Chocolate in Your Face!: Now you can serve them!We had ours with some strawberries, but it is a perfect match for some ice cream!Let me know what you think, share your efforts and please vote for me!Thanks for reading!. \n\nRecipe Image Series: UNKNOWN Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0151", + "input": { + "image_file": [ + "0151_0.jpg", + "0151_1.jpg", + "0151_2.jpg", + "0151_3.jpg", + "0151_4.jpg", + "0151_5.jpg", + "0151_6.jpg" + ], + "prompt": "Presented with a text-based recipe tutorial, your duty is to analyze it thoroughly and select the most apt image to fill in the missing blank, thereby accurately concluding the recipe image sequence. You must choose your answer from the Choice List. Recipe: banana-fruit-leather\nDetails: Step#1: Ingredients: BananasCoconut oil. \nStep#2: Blend: Blend your bananas until there are no clumps of any kind. \nStep#3: Oil: Put a tiny bit of oil on your tin foil or cookie sheet, the picture above is too much. \nStep#4: Spread: Spread out the banana as thin and evenly as you can. \nStep#5: Bake: Bake at 180 for about 2 hours. \nStep#6: Store: If you have any left after the leather comes out of the oven, use a pizza cutter to slice up the leather into strips and store in air tight plastic container for up to a month. \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0417", + "input": { + "image_file": [ + "0417_0.jpg", + "0417_1.jpg", + "0417_2.jpg", + "0417_3.jpg", + "0417_4.jpg", + "0417_5.jpg", + "0417_6.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the best image to fill in the blank, thereby correctly completing the recipe image series. You must choose your answer from the Choice List. Recipe: graveyard-cake-3\nDetails: Step#1: Bake Chocolate Cake: Ingredients2 cups granulated sugar 2 3/4 cup all-purpose flour 1 cup unsweetened cocoa (sifted) 2 teaspoons baking soda 1/2 teaspoon baking powder 1/2 teaspoon salt 1 cup (2 sticks) unsalted butter, softened (do not soften in microwave) 1/4 cup vegetable oil 4 large eggs at room temperature 1 cup milk 1 teaspoon vanilla extractDirectionsPreheat oven to 350 degrees and grease a 15\" rectangular pan with non-stick cooking spray. \nStep#2: Frost Cake: Use chocolate frosting to cover the cake. \nStep#3: Add Cookie Crumble to Cake: Remove cream from Oreo cookies and smash to make crumble. \nStep#4: Pipe Grass Onto Cake: Mix vanilla icing with green food colouring. \nStep#5: Make Chocolate Moon and Tree: Melt dark chocolate and white chocolate in separate bowls. \nStep#6: Make Tombstone: Mold Rice Crispy Treats into the shape of a tombstone. \nStep#7: Make Fingers: Mold Rice Crispy Treats into the shapes of fingers. \nStep#8: Assemble Cake: Add chocolate moon and tree to cake (use toothpicks, if necessary). \n\nRecipe Image Series: UNKNOWNChoice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/VisualStepMatchingReasoning/annotation.json b/Scope-A/S-A-Quick/image/comprehension/VisualStepMatchingReasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..064ba4c4b43a9349d834b0f3266cfb0de7d16972 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/VisualStepMatchingReasoning/annotation.json @@ -0,0 +1,361 @@ +{ + "set_type": "closeset", + "task": "Visual Step Matching Reasoning", + "data_source": "RecipeQA_ImageCoherence", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Multimodal Reasoning", + "domain": "General", + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "0084", + "input": { + "image_file": [ + "0084_0.jpg", + "0084_1.jpg", + "0084_2.jpg", + "0084_3.jpg", + "0084_4.jpg", + "0084_5.jpg", + "0084_6.jpg", + "0084_7.jpg" + ], + "prompt": "Using a recipe tutorial written in text, your responsibility is to examine it carefully and select the incongruous image in the provided sequence of images. You must choose your answer from the Choice List. Recipe: making-dumplings\nDetails: Step#1: Equipment: In this instruction, you can see some Chinese style equipment. \nStep#2: Ingradients: All the ingredients used were bought in Asian food store. \nStep#3: Making Dough: 1. \nStep#4: Making Dough: 1. \nStep#5: Making Dough: 1. \nStep#6: Making Dough: Note:After 45 to 50 minutes, the fermentation is completed. \nStep#7: Vegetable Bao Bao: 1. \nStep#8: Vegetable Bao Bao: 1. \nStep#9: Vegetable Bao Bao: 1. \nStep#10: Vegetable Bao Bao: 1. \nStep#11: Sweet Bean Bao Bao: 1. \nStep#12: Sweet Bean Bao Bao: 1. \nStep#13: Flower Bao Bao: 1. \nStep#14: Flower Bao Bao: 1. \nStep#15: Flower Bao Bao: 1. \nStep#16: White Bao Bao: 1. \nStep#17: White Bao Bao: . \nStep#18: Boil: 1. \nStep#19: Conclusion: During winter time, the weather is really cold. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0100", + "input": { + "image_file": [ + "0100_0.jpg", + "0100_1.jpg", + "0100_2.jpg", + "0100_3.jpg", + "0100_4.jpg", + "0100_5.jpg", + "0100_6.jpg", + "0100_7.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and identify the incoherent image in the subsequent series of images. You must choose your answer from the Choice List. Recipe: veg-mayo-sandwich\nDetails: Step#1: Ingredients: To make this delicious sandwich, you\u2019ll need the following ingredients. \nStep#2: Clean and Chop: It is always advised to keep all the ingredients ready to cook before you actually start off . \nStep#3: The Mayo Salad: As the name suggests, it\u2019s obvious that the filling must have mayonnaise in it. \nStep#4: It\u2019s Grill Time: Once you have the filling ready, it\u2019s time to turn on the Sandwich grill. \nStep#5: Slice and Serve: Once the sandwich is grilled, you will already sense the nice aroma coming out of the grill. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0288", + "input": { + "image_file": [ + "0288_0.jpg", + "0288_1.jpg", + "0288_2.jpg", + "0288_3.jpg", + "0288_4.jpg", + "0288_5.jpg", + "0288_6.jpg", + "0288_7.jpg" + ], + "prompt": "Upon receiving a textual recipe tutorial, your job is to examine it attentively and choose the incoherent image in the subsequent image sequence. You must choose your answer from the Choice List. Recipe: how-to-freeze-blueberries\nDetails: Step#1: Pick Your Berries: \n For many of us, this may be as simple as finding a few boxes in the produce section with no mushy berries while they happen to be on sale. \nStep#2: Rinse and Arrange: Rinse your berries in a colander and remove any stems or stray leaves and wildlife. \nStep#3: Place in Freezer: Place your baking sheet in the freezer, preferably flat against the shelf to prevent the berries from rolling into one another. \nStep#4: Fill Containers: \n Once the berries are frozen solid, choose containers to keep them in. \nStep#5: Consume Berries: \n Blueberries are small and thaw quickly, so for most recipes, there is no need to thaw them before use. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0240", + "input": { + "image_file": [ + "0240_0.jpg", + "0240_1.jpg", + "0240_2.jpg", + "0240_3.jpg", + "0240_4.jpg", + "0240_5.jpg", + "0240_6.jpg", + "0240_7.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the image that is incoherent in the provided sequence of images. You must choose your answer from the Choice List. Recipe: chicken-cordon-bleu-italiano-a-gluten-free-recipe\nDetails: Step#1: INGREDIENTS (for 2 Servings): 10 TO 14 ounce plump raw chicken breast (this one weighed 12 ounces)1 slice imported *Proscuitto1 ounce imported Sharp Provolone Cheese (Belgioioso is my favorite brand)1/4 cup all purpose flour (I used gluten-free multi-purpose flour)1/3 cup breadcrumbs (I used Glutino gluten-free breadcrumbs)1 large egg1 TBS unsalted butter3 small slices fresh Mozzarella Cheese (about 2 ounces)*NOTE: For those of you that are not familiar with \"Prosciutto:\" It is a delicate, sweet flavored uncured ham from Italy. \nStep#2: PREPARE & STUFF THE CHICKEN BREAST: Remove any excess fat from the breast of chicken; rinse it and pat dry. \nStep#3: BAKING INSTRUCTIONS: Preheat oven to 350 F. \nStep#4: TIME TO EAT . . .: Although I missed a step and had to finish off this oven-baked stuffed breast of chicken under the broiler, it turned out great! I enjoyed my supper with a side of yesterday's Sauteed *Shishito Peppers & tomatoes and a glass of one of my favorite white wines - Barefoot's California Riesling. \nStep#5: NUTRITION: I have calculated the nutritional value of the ingredients in this recipe to the best of my ability using the MyFitnessPal Recipe Analyzer. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0124", + "input": { + "image_file": [ + "0124_0.jpg", + "0124_1.jpg", + "0124_2.jpg", + "0124_3.jpg", + "0124_4.jpg", + "0124_5.jpg", + "0124_6.jpg", + "0124_7.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and pinpoint the image that is out of place in the following image sequence. You must choose your answer from the Choice List. Recipe: thandai-the-ultimate-indian-spiced-cold-beverage\nDetails: Step#1: Ingredients: \n You will love to know the ingredients Full fat or whole milk 500 ml (16. \nStep#2: Making That Divine Paste and Powder: Making the paste: Once you have the soaked ingredients along with other\u00a0aforementioned ingredients for the paste (Image 1). \nStep#3: Cooking and Mixing the Flavourful Elements: Now turn on your stove and put milk in a boiling pan and proceed as follows: Bring it to boil (Image 1). \nStep#4: Serving the Delight: Before serving the chilled Thandai, stir it to make sure that the paste is not settled at the bottom (This usually happen if you chose to make thinner consistency drink). \nStep#5: Experiments: \n I like Thandai in its original form \u00a0the best , yet I did some experiments on my own and found them fun. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0371", + "input": { + "image_file": [ + "0371_0.jpg", + "0371_1.jpg", + "0371_2.jpg", + "0371_3.jpg", + "0371_4.jpg", + "0371_5.jpg", + "0371_6.jpg", + "0371_7.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the image that doesn't align with the rest in the following sequence of images. You must choose your answer from the Choice List. Recipe: basil-salsa\nDetails: Step#1: Ingredients: 3 or 4 handfuls of fresh basil5 or 6 cloves of garlic (half a bulb)3 or 4 tablespoons of capers \u00bd to \u00be cup of olive oilJuice of 1 lemonSalt and pepper to taste. \nStep#2: Blend: Peel the garlic, juice the lemon. \nStep#3: Keep Blending: Blend up to a smooth paste-like consistency, add more olive oil if you need to. \nStep#4: Add Salt and Pepper: Add salt and pepper to taste and blend for another half a minute. \nStep#5: Serve: Transfer to a bowl and garnish with a sprig of basil. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0237", + "input": { + "image_file": [ + "0237_0.jpg", + "0237_1.jpg", + "0237_2.jpg", + "0237_3.jpg", + "0237_4.jpg", + "0237_5.jpg", + "0237_6.jpg", + "0237_7.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the image that doesn't align with the rest in the following sequence of images. You must choose your answer from the Choice List. Recipe: tuscan-tofu-frittata\nDetails: Step#1: Assemble Your Tools: Essential equipment:Frittata pan or \"everything\" pan (a regular skillet works as well) Chef's knife (for chopping firm vegetables, such as onions) Serrated knife (for slicing soft vegetables, such as tomatoes) Cutting board Spatula Plate (for turning, unless you have a two-sided frittata pan) Potato masher (for mashing tofu). \nStep#2: Gather Ingredients: 14-16 ounces Tofu (one typical block, extra firm, drained)4-6 leaves Tuscan (lacinato) kale6-8 oil-packed Sun-dried tomatoes (or pre-soaked, plain sun-dried tomatoes for lower fat recipe)1/2 medium Onion1-2 cloves Garlic2 Tablespoons Nutritional Yeast1/4 Teaspoon Garlic Salt (or plain sea salt)1/4 Teaspoon Kala Namak salt (provides sulfur-egg aroma, use sparingly)Dried herbs: oregano, marjoram, thyme, etc. \nStep#3: Prepare the Kale: Wash kale thoroughly to remove grit Remove tough kale stems by pulling the dark green part away from the lower part of the leaf. \nStep#4: Prepare the Vegetables: Chop or mince the onions and garlic and any fresh herbs (if used);Slice the soft vegetables (sun-dried tomatoes, peppers, greens, etc. \nStep#5: Saute Onions and Garlic: Saute onions and garlic over medium heat until translucent (also saute any firm vegetables, including kale stems, if not discarded). \nStep#6: Add Kale and Tofu: Add kale and tofu to sauteed onions and garlic Add herbs and seasonings Mash ingredients together with potato masher. \nStep#7: Adjust Seasonings: It is important to adjust the flavor before the tofu fuses together into a solid \"cake\" (I often choose to add more Nutritional Yeast; it is an acquired taste, so tread carefully). \nStep#8: Cook on Stovetop: Cook covered over medium-low heat for about 15-20 minutes Cookware and cooking equipment varies widely Test the firmness of the frittata by lifting the edge with a spatula Continue cooking if the tofu crumbles When the tofu fuses together, it can be turned over. \nStep#9: Flip the Frittata: Use a heat resistant plate to flip the frittataAn oven-proof glove makes it easy to grip both the pan and the plate Slide the frittata back into the pan to cook the top. \nStep#10: Finish Cooking: The frittata can be finished on the stove top or baked in the ovenOnce again, use the spatula to check the surfaceThe finished frittata should be firm on the outside and tender on the insideServe hot or room temperature. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0329", + "input": { + "image_file": [ + "0329_0.jpg", + "0329_1.jpg", + "0329_2.jpg", + "0329_3.jpg", + "0329_4.jpg", + "0329_5.jpg", + "0329_6.jpg", + "0329_7.jpg" + ], + "prompt": "Upon receiving a textual recipe tutorial, your job is to examine it attentively and choose the incoherent image in the subsequent image sequence. You must choose your answer from the Choice List. Recipe: italian-bread-puffs\nDetails: Step#1: Prepare the Ingredients: Start by splitting up the ingredients the way you need them to be. \nStep#2: Putting It Together: Place one cheese stick piece and one meatball piece on a half biscuit together, and then seal them up in a ball and place in a greased muffin pan. \nStep#3: Bake, Top, and Eat: The topping can be combined in a bowl while the puffs are in the oven. \nStep#4: Time to Eat: Here they are all done and ready to eat all we need now is some marinara to dip them in, enjoy!\n***Update, I included an image of the puffs baked together in a 9 inch round cake pan so you can see the difference, that and we wanted some more cause they lasted about 5 minutes. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0119", + "input": { + "image_file": [ + "0119_0.jpg", + "0119_1.jpg", + "0119_2.jpg", + "0119_3.jpg", + "0119_4.jpg", + "0119_5.jpg", + "0119_6.jpg", + "0119_7.jpg" + ], + "prompt": "With a text-only recipe tutorial at hand, your job is to attentively study it and choose the image that breaks the consistency in the following sequence of images. You must choose your answer from the Choice List. Recipe: variety-cake-balls\nDetails: Step#1: Items Needed: la cookware: cake pan large bowl rubber spatula (not shown) cookie sheet small cookie scoop or small ice cream scoop wax paper double boiler or sauce pan with a small glass bowl that fits along the edge of the rim tooth picks mini paper cups mixer pam/crisco rubber gloves (optional) knife (preferably Paula Dean knifes) ingredients: cake mix (flavor of choice) jar of icing (flavor of choice) eggs (not shown) vegetable oil water (not shown) chocolate or vanilla almond bark (1 or 2 packages) nuts, sprinkles, chocolate chips, coconut, and etc. \nStep#2: Cake Mix: Depending on what thing of cake mix you bought to make, the directions vary but this is how mine was. \nStep#3: Crumbling the Cake: Now since the cake is cool, take some rubber gloves (its a lot easier) and put them on. \nStep#4: Forming the Balls: Take your large bowl and move the crumbled cake into the large bowl. \nStep#5: Adding a Toothpick: Now take your cake balls from the fridge and get your toothpicks ready. \nStep#6: Mini Paper Cups: Get out your cookie sheet and your mini paper cups, Place the paper cups on the paper sheet until the entire cookie sheet is covered. \nStep#7: Adding Almond Bark: Refer to my other instructable www. \nStep#8: Optional Cake Pops: This is one little option you can do but is a little more time consuming. \nStep#9: Enjoy: Hope you liked this instructable and please tell me what you think about my cake balls. \nStep#10: Fun Little Things I Did With Cake Balls: So here is some new pictures, im going to update this every time i do something\u00a0different. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0211", + "input": { + "image_file": [ + "0211_0.jpg", + "0211_1.jpg", + "0211_2.jpg", + "0211_3.jpg", + "0211_4.jpg", + "0211_5.jpg", + "0211_6.jpg", + "0211_7.jpg" + ], + "prompt": "Given a recipe guide in textual format, your task is to carefully examine it and identify the incoherent image in the subsequent series of images. You must choose your answer from the Choice List. Recipe: banana-bread-mug-cake-recipe\nDetails: Step#1: Ingredients + Mug & Microwave Info: 1 tablespoon butter, melted OR 1 tablespoon of cooking oil1 egg, beaten1 tablespoon milk (can use regular, soy or nut)1 very ripe banana, mashed3 tablespoons of all purpose flour (make sure to scoop the flour out of the bag with a measuring spoon so you get enough!)3 tablespoons brown sugar, lightly packed1/2 teaspoon baking powderYou need a 12 oz+ mug for this! I'm using a 14 oz mug. \nStep#2: Melt the Butter and Add the Egg and Milk: If you're using butter, throw it in the mug and pop it into the microwave for 15-20 seconds to melt. \nStep#3: Add the Mashed Banana: Add the mashed banana into the mug and stir everything with the fork - you can be pretty rough with it to make sure it's all mixed well. \nStep#4: Add the Dry Ingredients: Add the flour, brown sugar and baking powder. \nStep#5: Cooking: This cake will take between 1 and 2 minutes in the microwave. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0493", + "input": { + "image_file": [ + "0493_0.jpg", + "0493_1.jpg", + "0493_2.jpg", + "0493_3.jpg", + "0493_4.jpg", + "0493_5.jpg", + "0493_6.jpg", + "0493_7.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the image that is incoherent in the provided sequence of images. You must choose your answer from the Choice List. Recipe: crab-less-crab-dip-candida-free-recipe\nDetails: Step#1: What You Will Need!!: Ingredients: (I am the type of person who NEVER measures my ingredients. \nStep#2: Soak and Rinse Macadamia Nuts: Why you should always soak your NUTS. \nStep#3: Blanch and Peel Tomato: You can either place your little guy into a boiling pot of water for 2 mins or so. \nStep#4: Put Yo' Stuff the Food Processor: I think this is self explanatory. \nStep#5: Aww...Push It...Push It Real Good: Gotta LOVE technolgy. \nStep#6: DA...: After the dip is out of the food processor and into a container (bowl or plastic one for the fridge) I sprinkle a layer of the Old Bay on the top of the Dip. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0168", + "input": { + "image_file": [ + "0168_0.jpg", + "0168_1.jpg", + "0168_2.jpg", + "0168_3.jpg", + "0168_4.jpg", + "0168_5.jpg", + "0168_6.jpg", + "0168_7.jpg" + ], + "prompt": "With a text-only recipe tutorial at hand, your job is to attentively study it and choose the image that breaks the consistency in the following sequence of images. You must choose your answer from the Choice List. Recipe: fireless-smores\nDetails: Step#1: Ingredients: The following three items are what I used for this recipe:-Kraft Jet-puffed Marshmallow Creme-Honey Maid Graham Crackers-Nestle Semi-Sweet Chunks. \nStep#2: Melting: The next step is to melt the type of chocolate chips/chunks that you have selected. \nStep#3: Coating the Crackers: The third step is to coat two crackers with chocolate on one of them and the Jet-puffed creme on the other. \nStep#4: Let the Smores Dry: After carefully sticking the two sides together, let them dry either on the counter with some parchment paper under them or in the fridge if you want the process to go a little faster. \nStep#5: Decorate the Smores: You are pretty much done at the last step but you can coat the entire cookie half way to have them decorated. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0328", + "input": { + "image_file": [ + "0328_0.jpg", + "0328_1.jpg", + "0328_2.jpg", + "0328_3.jpg", + "0328_4.jpg", + "0328_5.jpg", + "0328_6.jpg", + "0328_7.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and pinpoint the image that is out of place in the following image sequence. You must choose your answer from the Choice List. Recipe: spicy-ragi-vermicelli\nDetails: Step#1: Ingredients: One packet of Ragi vermicelli (about 180 grams) Two medium sized onions chopped One large size tomato chopped Four green chilies sliced One teaspoon of mustard seeds mixed with broken white lentil One tablespoon of salt One tablespoon cooking oil Clean water for soaking and steaming . \nStep#2: Preparation: Take about two liters of cold water in a pan and mix one tablespoon of salt Soak the raw vermicelli for about three minutes in the salt water Drain out the water and keep aside . \nStep#3: Steaming: Take about one liter of water in a wide mouthed vessel Cover the vessel with a clean white cloth Place the soaked ragi vermicelli on top of the cloth Steam for about five minutes. \nStep#4: Tempering: Heat about one tablespoon of oil in a frying pan and add mustard seeds mixed with white lentils Add sliced green chillies and onions to the heated oil Add steamed vermicelli and sliced tomatoes Mix well and remove from fire . \nStep#5: Serve Hot: Serve hot with grated raw coconuts. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0073", + "input": { + "image_file": [ + "0073_0.jpg", + "0073_1.jpg", + "0073_2.jpg", + "0073_3.jpg", + "0073_4.jpg", + "0073_5.jpg", + "0073_6.jpg", + "0073_7.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the image that is incoherent in the provided sequence of images. You must choose your answer from the Choice List. Recipe: sweet-salty-and-soft-peanut-butter-cups\nDetails: Step#1: Gathering Your Ingredients and Supplies: Filling:1/2 cup graham cracker crumbs (approximately 4. \nStep#2: Creating the Filling: 1. \nStep#3: Make That Filling Creamy!: In order to take that grit out of the filling, blend the filling with your immersion blender. \nStep#4: Making the Chocolate Shell: While the filing is in the freezer, 1. \nStep#5: Assembling the Cups: To assemble the cups, spoon a heaping teaspoon in each of 6 silicone muffin liners. \nStep#6: Enjoy!: Remove the cups from their liners, and dig in! You're friends will thank you (that is, if you don't eat them all yourself!). \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0383", + "input": { + "image_file": [ + "0383_0.jpg", + "0383_1.jpg", + "0383_2.jpg", + "0383_3.jpg", + "0383_4.jpg", + "0383_5.jpg", + "0383_6.jpg", + "0383_7.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the image that disrupts the continuity in the provided series of images. You must choose your answer from the Choice List. Recipe: white-truffle-macncheese-with-crispy-topping\nDetails: Step#1: Supplies: SuppliesHardware\nStove Top\nBroiler\nLarge Pot\nMedium to Small Saut\u00e9 Pan\nLarge Spoon\nSheet Pan\nOven Safe Bowl or Ramekin (depending on how much you are making) - mine are about 7oz eachMac'n'Cheese\n1 Cup Heavy Cream\n1 1/2 Cups Cooked Pasta - I used orchiette for this Instructable\n2 Tbsp White Truffle Oil\nPinch of salt (or to taste)\n1/2 Cup Grated Fontina Cheese\n1/2 Cup Grated Parmesan Cheese\n1/4 Cup Panko Bread Crumbs. \nStep#2: Boil the Pasta: Boil the pasta\nBring a pot of water to a rolling boil and drop in your pasta and add a little olive oil to the water, so the pasta doesn't stick together. \nStep#3: Boil the Cream: Even though we need to bring the cream to a boil, use a medium setting on your stove top, because cream/milk products can easily burn and/or boil over - so keep a close watch. \nStep#4: Add the Pasta, Truffle Oil and Salt: Add the pasta, truffle oil and salt into the saut\u00e9 pan and stir everything together. \nStep#5: Add the Cheese!: Add the cheese!\nAdd both cheeses and stir until the cheese is just melted. \nStep#6: Transfer to Your Oven Safe Ramekin or Bowl: Transfer to your oven safe ramekin or bowl. \nStep#7: Top With Panko Bread Crumbs: Top with Panko. \nStep#8: Broil and Voila!: Broil until browned and Voila!\nPlace your container(s) onto a baking sheet and put into the broiler for just a few minutes, until the tops have browned. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0067", + "input": { + "image_file": [ + "0067_0.jpg", + "0067_1.jpg", + "0067_2.jpg", + "0067_3.jpg", + "0067_4.jpg", + "0067_5.jpg", + "0067_6.jpg", + "0067_7.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the image that disrupts the continuity in the provided series of images. You must choose your answer from the Choice List. Recipe: dark-sweet-cherry-loaf-vegan\nDetails: Step#1: Dough: Heat 1 c unsweetened almond milk for 50 seconds in microwave (lukewarm), then stir in 1 tbsp coconut oil to dissolve. \nStep#2: Filling: Into a pan, place 2 c pitted fresh dark cherries with 3-5 tbsp sugar, and 1/4 c sour cherry nectar. \nStep#3: Making the Loaf: Halve more fresh cherries and make up to 1 CSpread cooked cherries and it's juice on the rolled flat dough, followed with the halved fresh cherriesRoll to loaf and place on prepared sheet. \nStep#4: \"Eggwash\" and Baking: Preheat oven to 350 FMix 1 tbsp coconut palm sugar with 1 tbsp red kidney beans aquafaba (homemade is best, because I made mine ?) Brush this \"egg-wash\" on the loaf and bake for 25-30 minutes Cool on rack, slice, and enjoy. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0087", + "input": { + "image_file": [ + "0087_0.jpg", + "0087_1.jpg", + "0087_2.jpg", + "0087_3.jpg", + "0087_4.jpg", + "0087_5.jpg", + "0087_6.jpg", + "0087_7.jpg" + ], + "prompt": "With a text-based recipe tutorial at your disposal, your job is to thoroughly study it and pinpoint the image that is out of place in the following image sequence. You must choose your answer from the Choice List. Recipe: turdunkin\nDetails: Step#1: Brining the Turkey: The first step is to brine the turkey overnight. \nStep#2: Related Aside: We noticed that our container (hey, it's not like it had used kitty litter in it, but it does add a certain amount of unwholesomeness, doesn't it?) had a helpful illustration. \nStep#3: Preparing the Stuffing: To prepare the stuffing, we purchased a 50-piece box of assorted munchkins, which weighed about 1. \nStep#4: Stuffing and Roasting the Turkey: The next step is to stuff the turkey. \nStep#5: Glazing the Turkey: Once the turkey reached 160\u00b0F, we made the glaze for it. \nStep#6: Coffee Gravy: Apparently coffee gravy is a normal thing that many people make. \nStep#7: Mash Browns: What turkey dinner is complete without mashed potatoes? Or, in this case, mashed hash browns! We mashed them with a potato masher, which is a technique that preserves all the hash brown flavor. \nStep#8: The Final Product: A turkey leg, munchkin stuffing, and mash browns, covered in coffee gravy. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0065", + "input": { + "image_file": [ + "0065_0.jpg", + "0065_1.jpg", + "0065_2.jpg", + "0065_3.jpg", + "0065_4.jpg", + "0065_5.jpg", + "0065_6.jpg", + "0065_7.jpg" + ], + "prompt": "Presented with a textual recipe tutorial, your task is to scrutinize it carefully and select the image that is incoherent in the provided sequence of images. You must choose your answer from the Choice List. Recipe: crazy-heart-\nDetails: Step#1: Ingredients & Supplies !: Ingredients: 1) Milk \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0: 1 Cup 2) Corn Flour \u00a0 \u00a0 \u00a0 \u00a0 \u00a0: 1 table spoon 3) Spaghetti \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0: 15-20 strands 4) Carrot \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0: 1 medium. \nStep#2: Getting It All Ready !!: Take the carrot, french beans & green pepper and cut it into medium side pieces. \nStep#3: White Sauce !: Heat a non stick pan on medium flame, add milk and corn flour. \nStep#4: Shape Them !: On a flat surface, spread the chopped spaghetti and spread it evenly. \nStep#5: Saute/ Shallow Fry: Heat oil in a flat pan, and slowly place each of them on the oil. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0186", + "input": { + "image_file": [ + "0186_0.jpg", + "0186_1.jpg", + "0186_2.jpg", + "0186_3.jpg", + "0186_4.jpg", + "0186_5.jpg", + "0186_6.jpg", + "0186_7.jpg" + ], + "prompt": "Provided with a textual recipe tutorial, your role is to closely inspect it and choose the image that doesn't align with the rest in the following sequence of images. You must choose your answer from the Choice List. Recipe: taco-ring\nDetails: Step#1: Tools: a skillet for cooking ground beefa spatula/spoon/what have youa round cookie sheet or pizza pana tallish bowloptional: a colander. \nStep#2: Materials: 1 pound of ground beef (ground chicken would work as well)1 package of taco seasoning (I like the extra cheesy kind)1 16 oz package of shredded Mexican blend cheese2 tubes of croissants (or more depending on the size of your pan)cooking sprayoptional: salsa, lettuce, tomatoes, sour cream, anything you like in tacos. \nStep#3: Let's Get Cooking!: Place thawed ground meat in a skillet and cook until no longer pink. \nStep#4: Assemble the Ring: Go ahead and preheat your oven to whatever temperature the croissants are supposed to cook at. \nStep#5: y Goodness: This step couldn't possibly be easier. \nStep#6: Cheese, It Makes the World Go \u2018Round: For this step, I've found that it is easier to go ahead and incorporate the cheese into your meat mixture instead of trying to put it on top just because it makes the cheese easier to deal with. \nStep#7: Filling and Closing: Spoon the meat and cheese filling on top of the croissants, leaving a few centimeters uncovered at the edges of the center ring. \nStep#8: Plate Up!: That's it! By now you should have a perfectly golden and delicious taco ring! Cut where each croissant is separated and serve. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + }, + { + "id": "0351", + "input": { + "image_file": [ + "0351_0.jpg", + "0351_1.jpg", + "0351_2.jpg", + "0351_3.jpg", + "0351_4.jpg", + "0351_5.jpg", + "0351_6.jpg", + "0351_7.jpg" + ], + "prompt": "Using a recipe tutorial composed entirely of text, your task is to scrutinize it and select the image that disrupts the continuity in the provided series of images. You must choose your answer from the Choice List. Recipe: ramen-noodle-spaghetti\nDetails: Step#1: Things You Need: The things that you need are:\nRamen noodles (obviously)\nSpaghetti sauce (any kind works)\nA microwavable container bigger than two cups\nA microwave\nA fork or spoon\nAnd obviously You need to be hungry(I am not saying you need a voracious appetite like eating your fridge but just maybe a little snacky). \nStep#2: Boiling Ramen: What you do first is put two cups of water into your microwaveable container then depending on diameter break in half unless you can fit the whole block. \nStep#3: Heat Up Sauce: Now put the spaghetti sauce in a small container put in as much as you want it is your choice. \nStep#4: Finish Up: Now mix the Ramen with the sauce that you have chosen when all mixed together you can top with cheese or leave plain. \nRecipe Image Series: Choice list:['Image A: ', 'Image B: ', 'Image C: ', 'Image D: ']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/WebpageContentVisualQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/image/comprehension/WebpageContentVisualQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4bd053b54105cfea42117393e09cbd28c80eda3f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/WebpageContentVisualQuestionAnswering/annotation.json @@ -0,0 +1,131 @@ +{ + "set_type": "closeset", + "task": "Webpage Content Visual Question Answering", + "data_source": "webqa", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": "text" + }, + "skill": "Image Visual Question Answering", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "id": "0062", + "input": { + "image_file": [ + "0062_0.jpg", + "0062_1.jpg" + ], + "prompt": "Using the images as your reference, please respond to the following question. You must choose your answer from the Choice List. Image Caption #1: Badminton at the 2012 Summer Olympics 9136 Image Caption #2: Badminton at the 2012 Summer Olympics 9387 Question: At Badminton at the 2012 Summer Olympics, is the player's last name written on the back of their shirt for multiple country participants?Choice list:['No, the player's last name is not written on the back of their shirt for multiple country participants at Badminton at the 2012 Summer Olympics.', 'Maybe, the player's last name might be written on the back of their shirt for multiple country participants at Badminton at the 2012 Summer Olympics.', 'Yes, the player's last name is written on the back of their shirt for multiple country participants at Badminton at the 2012 Summer Olympics.', 'Not applicable/not mentioned.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0007", + "input": { + "image_file": [ + "0007_0.jpg", + "0007_1.jpg" + ], + "prompt": "Please analyze the data in these images and accordingly answer the proposed question. You must choose your answer from the Choice List. Image Caption #1: Team Canada at 2010 Winter Olympics opening ceremony 2 Image Caption #2: The athletes from Bermuda entering the stadium at the opening ceremonies of the 2010 Winter Olympics Question: What are some teams that wore red and black uniforms at the opening ceremony of the 2010 Winter Olympics?Choice list:['United States and Germany.', 'South Korea and Switzerland.', 'Some of the teams that wore red and black uniforms at the opening ceremony of the 2010 Winter Olympics are Russia and China.', 'Some of the teams that wore red and black uniforms at the opening ceremony of the 2010 Winter Olympics are Bermuda and Canada.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0376", + "input": { + "image_file": [ + "0376_0.jpg", + "0376_1.jpg" + ], + "prompt": "Upon reviewing several images, your task is to extract the necessary information and answer the given question. You must choose your answer from the Choice List. Image Caption #1: France Paris Petit Palais renove Entree 02 Main entrance of Petit Palais, Paris, France. Image Caption #2: Main entrance of Grand Palais, Paris July 2014 Question: Do the Grand Palais and the Petit Palais both feature more than four large pillars around their entrance?Choice list:['No, only one of these locations feature more than four large pillars around their entrance.', 'Maybe, either of these locations feature more than four large pillars around their entrance.', 'No, neither of these locations feature more than four large pillars around their entrance.', 'Yes, both of these locations feature more than four large pillars around their entrance.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0171", + "input": { + "image_file": [ + "0171_0.jpg", + "0171_1.jpg" + ], + "prompt": "Examine the images carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Image Caption #1: Mondial Ping - Women's Singles - Semifinal - Ding Ning-Li Xiaoxia - 23 Image Caption #2: Mondial Ping -Women's Singles - Quarterfinal - Wu Yang-Li Xiaoxia - 19 Question: What graphic Chinese women's ping pong teams show on both their shirts and shorts at the 2013 Paris World Table Tennis Championships?Choice list:['A panda graphic is depicted on the shirts and shorts of the Chinese women's ping pong team at the 2013 Paris World Table Tennis Championships.', 'A dragon graphic is depicted on the shirts and shorts of the Chinese women's ping pong team at the 2013 Paris World Table Tennis Championships.', 'A tiger graphic is depicted on the shirts and shorts of the Chinese women's ping pong team at the 2013 Paris World Table Tennis Championships.', 'A2: A phoenix graphic is depicted on the shirts and shorts of the Chinese women's ping pong team at the 2013 Paris World Table Tennis Championships.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0031", + "input": { + "image_file": [ + "0031_0.jpg", + "0031_1.jpg" + ], + "prompt": "Please analyze the data in these images and accordingly answer the proposed question. You must choose your answer from the Choice List. Image Caption #1: Pine Grosbeak, female Pine Grosbeak (Pinicola enucleator), female, Gatineau Park, Quebec Image Caption #2: Pied Avocet Recurvirostra avosetta Pied Avocet Question: Relative to their body sizes, does the Pine Grosbeak or the Pied Avocet have longer legs?Choice list:['Incorrect answers:', '1. The Pied Avocet and the Pine Grosbeak have the same leg length, relative to their body sizes.', 'The Pied Avocet has longer legs, relative to its body size, than the Pine Grosbeak.', 'The Pine Grosbeak has longer legs, relative to its body size, than the Pied Avocet.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0182", + "input": { + "image_file": [ + "0182_0.jpg", + "0182_1.jpg" + ], + "prompt": "Please examine the images closely and provide a suitable response to the question that follows. You must choose your answer from the Choice List. Image Caption #1: Geraniaceae - Geranium sanguineum-1 Geranium sanguineum - Genova, Italy Image Caption #2: Echinacea pallida var. tennesseensis Echinacea pallida var. tennesseensis Question: Do Geranium sanguineum and Echinacea flowers have the same number of petals on them?Choice list:['Geranium sanguineum has fewer petals than Echinacea flowers.', 'Geranium sanguineum and Echinacea flowers have the same number of petals on them.', 'Geranium sanguineum has more petals than Echinacea flowers.', 'Echinacea flowers have double the number of petals compared to Geranium sanguineum.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0245", + "input": { + "image_file": [ + "0245_0.jpg", + "0245_1.jpg" + ], + "prompt": "Using the images as your reference, please respond to the following question. You must choose your answer from the Choice List. Image Caption #1: Epcot innoventions 2005 Entrance to Innoventions pavilion in Walt Disney World Resort's Epcot Center Epcot Center, Walt Disney World Resort Image Caption #2: -EPCOT ENTRANCE-WALT DISNEY WORLD - panoramio Question: Was the Epcot sign made in the same font for the entrance to Innoventions and the Epcot entrance?Choice list:['No the Epcot sign is not made in the same font for the entrance to Innoventions and the Epcot entrance.', 'Yes, the Epcot sign is made in the same font for the entrance to Innoventions and the Epcot entrance.', 'The Epcot sign is made in a similar font for the entrance to Innoventions and the Epcot entrance.', 'The Epcot sign does not have a specific font for the entrance to Innoventions and the Epcot entrance.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0237", + "input": { + "image_file": [ + "0237_0.jpg", + "0237_1.jpg" + ], + "prompt": "Upon reviewing several images, your task is to extract the necessary information and answer the given question. You must choose your answer from the Choice List. Image Caption #1: Pynacker, Adam - Bridge in an Italian Landscape - Google Art Project Image Caption #2: Abraham Teerlink (1776-1857), Landschap met vee in de Campagna, 1810, Olieverf op doek Question: What type of animal is present in the paintings Bridge in an Italian Landscape and Landscape with cattle in the Campagna?Choice list:['Dogs are present in both paintings.', 'Cattle is present in both paintings.', 'Sheep are present in both paintings.', 'Horses are present in both paintings.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0284", + "input": { + "image_file": [ + "0284_0.jpg", + "0284_1.jpg" + ], + "prompt": "Please examine the images closely and provide a suitable response to the question that follows. You must choose your answer from the Choice List. Image Caption #1: BergenCA Photo taken by Andy M. Wang Christmas Day 2006. Image was photoshopped with Adobe CS. Licensed to Creative Commons 2.5 on April 16 2007. Image Caption #2: Queens Technical High School exterior Exterior photo of Queens Technical High School Question: Which is taller, Queens Technical High School or Bergen CA?Choice list:['Queens Technical High School is taller than Bergen CA.', 'Bergen CA is taller than Queens Technical High School.', 'R2: Queens Technical High School and Bergen CA are the same height.', 'Queens Technical High School and Bergen CA have different heights.']. Your answer is:" + }, + "output": {} + }, + { + "id": "0365", + "input": { + "image_file": [ + "0365_0.jpg", + "0365_1.jpg" + ], + "prompt": "Examine the images carefully, and then answer the question based on the information gleaned. You must choose your answer from the Choice List. Image Caption #1: 2004-09-07 1800x2400 chicago picasso Picasso sculpture in Daley Plaza, Chicago, Illinois, US Image Caption #2: Public Art-Asteroids, Nedlands 009 Public Art-Asteroid, Nedlands, Western Australia. Question: Which artwork is directly in front of a building Public Art-Asteroid, Nedlands, Western Australia or Picasso sculpture in Daley Plaza, Chicago, Illinois, US?Choice list:['The Public Art-Asteroid, Nedlands, Western Australia is directly in front of a building.', 'The artwork in Daley Plaza, Chicago, Illinois, US is not directly in front of a building.', 'There is no building in front of either artwork.', 'The Picasso sculpture in Daley Plaza, Chicago, Illinois, US is directly in front of a building.']. Your answer is:" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/WeedDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/WeedDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7367274cdc80a2db138163513e8b0d743cefa869 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/WeedDetection/annotation.json @@ -0,0 +1,124 @@ +{ + "task": "Weed Detection", + "data_source": "https://www.kaggle.com/datasets/jaidalmotra/weed-detection", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "boxes" + ] + }, + "skill": "Object Detection", + "domain": "General", + "general_capability": "Content Recognition", + "version": "1.0", + "set_type": "closeset", + "others": { + "bbox_format": "(x_min, y_min, width, height)" + }, + "data": [ + { + "input": { + "image_file": "Rumex-obtusifolius-L_2383_jpg.rf.3f588ed76f05b726590694304bb948f7.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0406" + }, + { + "input": { + "image_file": "Rumex-obtusifolius-L_2163_jpg.rf.278d52ec0e8f66cea4bcc0a73d786ed7.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0271" + }, + { + "input": { + "image_file": "ridderzuring_3024_jpg.rf.4cfb0416a5ebae054b63404da6175615.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0497" + }, + { + "input": { + "image_file": "Rumex-obtusifolius-L_0083_jpg.rf.455cb1c37650abb3b8d3b10f2c2b5a8a.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0457" + }, + { + "input": { + "image_file": "ridderzuring_0350_jpg.rf.042219c41d0bd2dd2a5da513f4f0323b.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0045" + }, + { + "input": { + "image_file": "ridderzuring_0710_jpg.rf.35445e9192452144b7500442fe73c445.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0356" + }, + { + "input": { + "image_file": "ridderzuring_1980_jpg.rf.07276097d2f346b2825970b5bdbdc448.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0057" + }, + { + "input": { + "image_file": "Rumex-obtusifolius-L_0788_jpg.rf.0179593a7675338bd8e9d2a3167a83bb.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0004" + }, + { + "input": { + "image_file": "ridderzuring_0529_jpg.rf.4a11912aa6c7f5a49c67ae4420a9542e.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0478" + }, + { + "input": { + "image_file": "ridderzuring_0734_jpg.rf.0ccd56ca89e8ae500a8bf92a0618ab98.jpg", + "prompt": "Detect the weed in the given image" + }, + "output": { + "text": "Unavailable" + }, + "id": "wd_0102" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/WoodAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/WoodAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..62e81b636891c145e672617ae910d18f900ce49d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/WoodAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "wood anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "33", + "input": { + "image_file": "33.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "21", + "input": { + "image_file": "21.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "26", + "input": { + "image_file": "26.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "12", + "input": { + "image_file": "12.png", + "prompt": "Detect the anomaly region of the leather" + } + }, + { + "id": "16", + "input": { + "image_file": "16.png", + "prompt": "Detect the anomaly region of the leather" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/ZipperAnomalyDetection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/ZipperAnomalyDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0b28a44b42602e3a09d4734d01a0f444ec908a6b --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/ZipperAnomalyDetection/annotation.json @@ -0,0 +1,60 @@ +{ + "task": "zipper anomaly detection", + "data_source": "https://www.mvtec.com/company/research/datasets/mvtec-ad", + "type": "image comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Industrial Anomaly Detection", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "set_type": "closeset", + "data": [ + { + "id": "17", + "input": { + "image_file": "17.png", + "prompt": "Detect the anomaly region of the zipper" + } + }, + { + "id": "71", + "input": { + "image_file": "71.png", + "prompt": "Detect the anomaly region of the zipper" + } + }, + { + "id": "6", + "input": { + "image_file": "6.png", + "prompt": "Detect the anomaly region of the zipper" + } + }, + { + "id": "28", + "input": { + "image_file": "28.png", + "prompt": "Detect the anomaly region of the zipper" + } + }, + { + "id": "67", + "input": { + "image_file": "67.png", + "prompt": "Detect the anomaly region of the zipper" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/bird-species-classification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/bird-species-classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7d9efb88eeff5721341b28626fc93825dcebb7e3 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/bird-species-classification/annotation.json @@ -0,0 +1,126 @@ +{ + "task": "bird species recognition", + "data_source": "https://www.kaggle.com/datasets/akash2907/bird-species-classification", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": [ + "General" + ], + "general_capability": [ + "Content Recognition", + "Commonsense Knowledge" + ], + "version": "1.0", + "data": [ + { + "input": { + "image_file": "DSC_6403.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0009" + }, + { + "input": { + "image_file": "11619942574_42f23a7b05_o.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0144" + }, + { + "input": { + "image_file": "100_4467.JPG", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0081" + }, + { + "input": { + "image_file": "11620454726_31a35c26da_o.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0100" + }, + { + "input": { + "image_file": "100_4462.JPG", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0085" + }, + { + "input": { + "image_file": "IMG_5488.JPG", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0123" + }, + { + "input": { + "image_file": "IMG_5386.JPG", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0129" + }, + { + "input": { + "image_file": "D72_0691.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0157" + }, + { + "input": { + "image_file": "_DSC9446.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0152" + }, + { + "input": { + "image_file": "_DSC_11246.jpg", + "prompt": "Recognize the bird specie type" + }, + "output": { + "text": "" + }, + "id": "bsc0059" + } + ], + "others": {} +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/car_brands_recognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/car_brands_recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..85ee94efcde6c731a2255da07d695caeb9b71443 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/car_brands_recognition/annotation.json @@ -0,0 +1,92 @@ +{ + "task": "Car Brands Recognition", + "data_source": "https://www.kaggle.com/datasets/mahaarajab/car-logo-dataset", + "type": "comprehension", + "skill": "Object Recognition(Object Recog)", + "domain": "General", + "capability": "Content Recognition", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/CarBrands0201.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0201" + }, + { + "input": { + "image_file": "images/CarBrands0467.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0467" + }, + { + "input": { + "image_file": "images/CarBrands0350.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0350" + }, + { + "input": { + "image_file": "images/CarBrands0464.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0464" + }, + { + "input": { + "image_file": "images/CarBrands0132.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0132" + }, + { + "input": { + "image_file": "images/CarBrands0401.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0401" + }, + { + "input": { + "image_file": "images/CarBrands0436.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0436" + }, + { + "input": { + "image_file": "images/CarBrands0423.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0423" + }, + { + "input": { + "image_file": "images/CarBrands0080.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0080" + }, + { + "input": { + "image_file": "images/CarBrands0127.png", + "prompt": "recognize the brand of the car in the image" + }, + "id": "CarBrands0127" + } + ], + "others": {}, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/cat-faces-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/cat-faces-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..94c088e9b3c2180f6c5eb6f7e1d305779e1663ac --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/cat-faces-detection/annotation.json @@ -0,0 +1,125 @@ +{ + "task": "cat faces detection", + "data_source": "https://www.kaggle.com/datasets/aleksandrdremov/cat-faces-detection", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Detection", + "domain": [ + "General" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "input": { + "image_file": "archive9boxed_Cats_Test1824.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0382" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test2195.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0079" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1694.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0121" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1875.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0200" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1000.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0339" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1494.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0110" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test2163.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0226" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1615.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0347" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test2292.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0130" + }, + { + "input": { + "image_file": "archive9boxed_Cats_Test1128.png", + "prompt": "Detect the cat face region in the given image" + }, + "output": { + "category: bbox": {} + }, + "id": "cfd0032" + } + ], + "others": {} +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/chinese-fine-art/annotation.json b/Scope-A/S-A-Quick/image/comprehension/chinese-fine-art/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6f8bf50e1cceea152073c31b4b1ab9b3d15b9bcd --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/chinese-fine-art/annotation.json @@ -0,0 +1,125 @@ +{ + "task": "chinese fine art recognition", + "data_source": "https://www.kaggle.com/datasets/rickyjli/chinese-fine-art?select=Dataset", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Object Recognition", + "domain": [ + "Art" + ], + "general_capability": [ + "Commonsense Knowledge" + ], + "version": "1.0", + "data": [ + { + "input": { + "image_file": "Li_Zijian_06.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0366" + }, + { + "input": { + "image_file": "Luo_Zhongli_10.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0229" + }, + { + "input": { + "image_file": "Wang_Hui_09.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0022" + }, + { + "input": { + "image_file": "Zhang_Xiao_Gang_24.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0199" + }, + { + "input": { + "image_file": "Lu_Xin_Jian_12.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0395" + }, + { + "input": { + "image_file": "Lu_Xin_Jian_10.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0386" + }, + { + "input": { + "image_file": "Wang_Hui_02.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0015" + }, + { + "input": { + "image_file": "Lu_Xin_Jian_07.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0384" + }, + { + "input": { + "image_file": "Luo_Zhongli_08.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0239" + }, + { + "input": { + "image_file": "Yao_Wen_Han_13.jpg", + "prompt": "Recognize which Chinese artist paint this picture" + }, + "output": { + "text": "" + }, + "id": "cfar0278" + } + ], + "others": {} +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/circuit-elements-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/circuit-elements-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2a466497cdaa160c42a6b19ec2b8a1282f7d2e71 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/circuit-elements-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "circuit-element-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb22rec1_jpg.rf.c4427d5b4e176977b917b74597d18e15.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0152" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb136rec1_jpg.rf.9b37c9fbc64d7124c378c5076bd88163.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0334" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/DigitalDiscovery_jpg.rf.e76d58d66c8860a723cf4c80e1098e69.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0223" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb44rec1_jpg.rf.5ceb321a8d69b651db5359386a39d0e8.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0067" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb86rec1_jpg.rf.9e4aadaf8e7437f9f8250e20a68b8c76.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0354" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb75rec1_jpg.rf.246413a6616cbbfb5065ea1e5be84c96.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0092" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb127rec1_jpg.rf.f5da4baaced288e05c9254a28513d188.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0141" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/pcb119rec1_jpg.rf.85d1666320f241ac3e171ed821a1762a.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0447" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/EDA-008_Bottom_jpg.rf.232a3f76cab1e0395da1fa29efcaf8af.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0138" + }, + { + "input": { + "image_file": "./data/comprehension/circuit-element-detection/images/ML450_Bottom2_jpg.rf.306b295f8879ee79f8d9977e72a28ba1.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0470" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/damaged_egg_recognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/damaged_egg_recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b97f70a8fe0c6f03849084301e4ba69f232db805 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/damaged_egg_recognition/annotation.json @@ -0,0 +1,92 @@ +{ + "task": "Damaged Egg Recognition", + "data_source": "https://www.kaggle.com/datasets/abdullahkhanuet22/eggs-images-classification-damaged-or-not", + "type": "comprehension", + "skill": "Object Recognition(Object Recog)", + "domain": "General", + "capability": "Content Recognition", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/EggDamaged0328.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0328" + }, + { + "input": { + "image_file": "images/EggDamaged0212.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0212" + }, + { + "input": { + "image_file": "images/EggDamaged0409.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0409" + }, + { + "input": { + "image_file": "images/EggDamaged0240.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0240" + }, + { + "input": { + "image_file": "images/EggDamaged0303.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0303" + }, + { + "input": { + "image_file": "images/EggDamaged0215.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0215" + }, + { + "input": { + "image_file": "images/EggDamaged0366.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0366" + }, + { + "input": { + "image_file": "images/EggDamaged0350.jpg", + "prompt": "recognize if the eggs are damaged in the image" + }, + "id": "EggDamaged0350" + }, + { + "input": { + "image_file": "images/EggDamaged0258.jpg", + "prompt": "recognize if the eggs are damaged in the image" + 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"./data/comprehension/gauge-detection/images/pressureGauge_31_jpg.rf.de86ad11c5a300f3c009dfd613e2d9ee.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0087" + }, + { + "input": { + "image_file": "./data/comprehension/gauge-detection/images/istockphoto-1406712568-612x612_jpg.rf.ed7bec8fc5e8374d8a62568dc5d82bdf.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0345" + }, + { + "input": { + "image_file": "./data/comprehension/gauge-detection/images/00014_jpg.rf.25aee01c5ac139552ebe901f6acce774.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0118" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/geography_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/geography_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d3a2cee5fec16c24fe600a90c1ac4e98c6ed30b5 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/geography_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "geography vqa", + "data_source": "https://github.com/lupantech/ScienceQA", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Geography" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "gkv0423", + "input": { + "image_file": "15653_image.png", + "question": "Which of these states is farthest south? The candidate choices are ['Michigan', 'Tennessee', 'New Jersey', 'Massachusetts'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0199", + "input": { + "image_file": "7712_image.png", + "question": "What is the capital of New Jersey? The candidate choices are ['Trenton', 'Albany', 'Newark', 'Dover'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0192", + "input": { + "image_file": "7397_image.png", + "question": "What is the capital of Virginia? The candidate choices are ['Norfolk', 'Richmond', 'Cambridge', 'Arlington'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0464", + "input": { + "image_file": "17221_image.png", + "question": "Which continent is highlighted? The candidate choices are ['Asia', 'South America', 'Antarctica', 'North America'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0527", + "input": { + "image_file": "19332_image.png", + "question": "Which continent is highlighted? The candidate choices are ['Asia', 'Antarctica', 'Australia', 'South America'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0494", + "input": { + "image_file": "17991_image.png", + "question": "Which of these states is farthest east? The candidate choices are ['New York', 'Tennessee', 'Ohio', 'California'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0430", + "input": { + "image_file": "15992_image.png", + "question": "What is the capital of New York? The candidate choices are ['Little Rock', 'Albany', 'Birmingham', 'Buffalo'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0238", + "input": { + "image_file": "8981_image.png", + "question": "Which of these states is farthest north? The candidate choices are ['Louisiana', 'Kentucky', 'Delaware', 'South Dakota'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0091", + "input": { + "image_file": "3053_image.png", + "question": "Which continent is highlighted? The candidate choices are ['Australia', 'Asia', 'South America', 'North America'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gkv0138", + "input": { + "image_file": "4858_image.png", + "question": "Which country is highlighted? The candidate choices are ['Vanuatu', 'Solomon Islands', 'Fiji', 'Nauru'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/geometry_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/geometry_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a333842f08f7ba725ced9a97eded5017770f66c9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/geometry_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "geometry vqa", + "data_source": "https://lupantech.github.io/inter-gps/#Dataset", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Geometry" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "gpv0247", + "input": { + "image_file": "2363_img_diagram.png", + "question": "Find the value of x in the figure at the right. The candidate choices are ['4.56', '4.97', '5.42', '6.21'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0073", + "input": { + "image_file": "2165_img_diagram.png", + "question": "Find x in the figure. The candidate choices are ['1', '3', '12', '26.3'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0290", + "input": { + "image_file": "2202_img_diagram.png", + "question": "Find the area of the shaded region. Round to the nearest tenth. The candidate choices are ['69.5', '139.0', '254.5', '324.0'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0002", + "input": { + "image_file": "2336_img_diagram.png", + "question": "Find x. The candidate choices are ['3', '4', '5', '6'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0016", + "input": { + "image_file": "2317_img_diagram.png", + "question": "In \\odot S, m \\angle T S R = 42. Find m \\widehat E R T. The candidate choices are ['42', '84', '138', '180'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0096", + "input": { + "image_file": "2118_img_diagram.png", + "question": "Find the perimeter of quadrilateral A B C D to the nearest tenth. The candidate choices are ['34.6', '56.9', '65.2', '78.3'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0077", + "input": { + "image_file": "2323_img_diagram.png", + "question": "Find the perimeter of \\triangle A D F, if \\triangle A D F \\sim \\triangle B C E, B C = 24, E B = 12, C E = 18, and D F = 21. The candidate choices are ['63', '72', '94.5', '108'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0068", + "input": { + "image_file": "2199_img_diagram.png", + "question": "Find x in the given parallelogram. The candidate choices are ['2', '10', '31', '149'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0195", + "input": { + "image_file": "2326_img_diagram.png", + "question": "Find m \\angle D. The candidate choices are ['28', '40', '134', '140'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "gpv0083", + "input": { + "image_file": "2337_img_diagram.png", + "question": "Find the measure of \\angle 5 if A B \\perp B C. The candidate choices are ['62', '64', '66', '68'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/handwriting-component-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/handwriting-component-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a954dacca05a6f30165c5a626b222e23ccbe1f15 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/handwriting-component-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "handwriting-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + 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different models" + }, + "output": {}, + "id": "0065" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-275-_jpg.rf.eca78b30de4617a49ef4635bc159997f.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0397" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-383-_png_jpg.rf.fd799aaf2e3a738ce29333921db1e0f7.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0089" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-727-_jpg.rf.70ce8f0a705dccf0cd184719b58a8f3c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0161" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-647-_png_jpg.rf.0a6f079af55a3672102006de7f67ae7c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0441" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-730-_jpg.rf.2624fe9b2b2846f89cc1037813e545c5.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0361" + }, + { + "input": { + "image_file": "./data/comprehension/handwriting-detection/images/vnh-191-_jpg.rf.1efcf3d0c26c9a34b0a34861475ab003.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0324" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/image_editing_instruction_generation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/image_editing_instruction_generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8e413e79d39731c730e3202393a3b8e8355c43a3 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/image_editing_instruction_generation/annotation.json @@ -0,0 +1,123 @@ +{ + "set_type": "closeset", + "task": "image editing instruction generation", + "data_source": "", + "type": "comprehension", + "modality": { + "in": [ + "image" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "skill": "Image Visual Question Answering", + "domain": "General-domain", + "general_capability": [ + "Content Recognition", + "Creativity and Innovation" + ], + "data": [ + { + "id": "eig_90", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/90.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/90.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_452", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/452.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/452.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_69", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/69.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/69.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_125", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/125.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/125.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_304", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/304.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/304.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_319", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/319.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/319.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_473", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/473.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/473.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_173", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/173.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/173.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_23", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/23.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/23.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + }, + { + "id": "eig_169", + "input": { + "source_image_files": "data/image/comprehension/image_edit_instruction_generation/source_images/169.jpg", + "target_image_files": "data/image/comprehension/image_edit_instruction_generation/target_images/169.jpg", + "instruction": "Please generate an editing instruction based on the source image and target image.", + "prompt": "Analyze the source image and target image and generate an editing instruction for it." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/image_style_classification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/image_style_classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..db883510fa953426acd81842b3df3b7a61546bbb --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/image_style_classification/annotation.json @@ -0,0 +1,112 @@ +{ + "set_type": "closeset", + "task": "style recognition", + "data_source": "", + "type": "comprehension", + "modality": { + "in": [ + "image" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "skill": "Object Recognition", + "domain": "Art", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "id": "sr_412", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/412.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_198", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/198.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_231", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/231.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_107", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/107.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_279", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/279.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_334", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/334.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_394", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/394.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_4", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/4.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_9", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/9.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "sr_300", + "input": { + "image_files": "data/image/comprehension/style_classification/target_image/300.jpg", + "instruction": "Please classify the image into one of the following categories: [sai-lineart, artstyle-artnouveau, AbstractExpressionism, artstyle-typography, Surrealism, InkDrippingDrawing, artstyle-expressionist, artstyle-abstract, ArtNouveau, game-retroarcade, photo-silhouette, PopArt2, Neo-Futurism, Sketchup, futuristic-vaporwave, game-retrogame, Suprematism, misc-zentangle, papercraft-papercutcollage, misc-disco, Impressionism, artstyle-psychedelic, AdorableKawaii, Constructivism, Expressionism, artstyle-abstractexpressionism, sai-anime, artstyle-constructivist, mre-surreal-painting, Adorable3DCharacter, artstyle-artdeco, DoodleArt, Cubism, futuristic-retrofuturism, artstyle-cubist, ColorFieldPainting, papercraft-flatpapercut, InfographicDrawing, CelShadedArt, mre-comic, Neo-Impressionism, DMTArtStyle, sai-origami, Flat2DArt, Caricature, misc-stainedglass, sai-pixelart, GraffitiArt, MarkerDrawing, game-minecraft, ColoredPencilArt, artstyle-impressionist, game-bubblebobble, Fauvism, sai-lowpoly, artstyle-popart, artstyle-graffiti, OpArt, mre-sumi-e-symbolic, ArtDeco, MandolaArt, Bauhaus-StylePoster, sai-comicbook, SimpleVectorArt, papercraft-collage, SilhouetteArt, misc-manga]", + "prompt": "Analyze the image and classify it" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/indoor_semantic_segmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/indoor_semantic_segmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..374ca3a4907fba3ad55b16556a2c4c56c063a36e --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/indoor_semantic_segmentation/annotation.json @@ -0,0 +1,207 @@ +{ + "task": "indoor semantic segmentation", + "data_source": "NYU-V2", + "skill": "Image Semantic Segmentation (Img Sem Seg)", + "domain": "General", + "capability": "Content Recognition, Commonsense Knowledge", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image", + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/919.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0296" + }, + { + "input": { + "image_file": "images/86.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0601" + }, + { + "input": { + "image_file": "images/85.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0645" + }, + { + "input": { + "image_file": "images/1247.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0230" + }, + { + "input": { + "image_file": "images/472.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0217" + }, + { + "input": { + "image_file": "images/774.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0152" + }, + { + "input": { + "image_file": "images/663.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0317" + }, + { + "input": { + "image_file": "images/1193.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0049" + }, + { + "input": { + "image_file": "images/1340.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0121" + }, + { + "input": { + "image_file": "images/571.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0068" + }, + { + "input": { + "image_file": "images/1220.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0116" + }, + { + "input": { + "image_file": "images/1286.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0197" + }, + { + "input": { + "image_file": "images/1280.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0276" + }, + { + "input": { + "image_file": "images/1226.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0031" + }, + { + "input": { + "image_file": "images/1126.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0168" + }, + { + "input": { + "image_file": "images/733.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0345" + }, + { + "input": { + "image_file": "images/521.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0447" + }, + { + "input": { + "image_file": "images/859.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0465" + }, + { + "input": { + "image_file": "images/279.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0411" + }, + { + "input": { + "image_file": "images/1167.png", + "prompt": "Perform semantic segmentation on the indoor image" + }, + "id": "rgbd-ss0523" + } + ], + "others": { + "category2label": { + "unlabeled": 0, + "wall": 1, + "floor": 2, + "cabinet": 3, + "bed": 4, + "chair": 5, + "sofa": 6, + "table": 7, + "door": 8, + "window": 9, + "bookshelf": 10, + "picture": 11, + "counter": 12, + "blinds": 13, + "desk": 14, + "shelves": 15, + "curtain": 16, + "dresser": 17, + "pillow": 18, + "mirror": 19, + "floor mat": 20, + "clothes": 21, + "ceiling": 22, + "books": 23, + "refridgerator": 24, + "television": 25, + "paper": 26, + "towel": 27, + "shower curtain": 28, + "box": 29, + "whiteboard": 30, + "person": 31, + "night stand": 32, + "toilet": 33, + "sink": 34, + "lamp": 35, + "bathtub": 36, + "bag": 37, + "otherstructure": 38, + "otherfurniture": 39, + "otherprop": 40 + } + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/lmage_Scene_Graph_Parsing/annotation.json b/Scope-A/S-A-Quick/image/comprehension/lmage_Scene_Graph_Parsing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2411bf3e941743f0027a3588ec904c3a3f0c8554 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/lmage_Scene_Graph_Parsing/annotation.json @@ -0,0 +1,261 @@ +{ + "set_type": "closeset", + "task": "lmage_Scene_Graph_Parsing", + "data_source": "visual_genome", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text_list" + ] + }, + "skill": "Scene Graph Generation", + "domain": "General", + "general_capability": "Reasoning Ability", + "version": "1.0", + "data": [ + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2373606.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0072" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2350938.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0617" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2322265.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0287" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2386263.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0240" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/772.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0666" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2381184.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0130" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2352058.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0143" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2361386.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0200" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2383886.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0620" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2058.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0197" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2368091.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0152" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2331372.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0427" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2358400.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0082" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2410408.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0572" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2328790.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0631" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2413997.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0472" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2366899.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0559" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/150365.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0102" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2413387.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0711" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2364582.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0707" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2380600.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0080" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2333217.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0243" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2400617.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0141" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2369866.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0736" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/61607.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0417" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2327693.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0713" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2413975.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0541" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2410532.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0442" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2328830.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0138" + }, + { + "input": { + "image_files": "data/image/comprehension/lmage_Scene_Graph_Parsing/visual_genome/images/2327568.jpg", + "instruction": "Please generate as many scene graph triplets as possible for the image in the following format (subject, relationship, object).", + "prompt": "Analyze the image and generate as many scene graph triplets as possible in the format (subject, relationship, object). Each triplet should describe a meaningful relationship or interaction between objects or entities in the image." + }, + "id": "0332" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/lung_nodule_diagnosis_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/lung_nodule_diagnosis_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88102a2882180baa3de831802366297457532066 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/lung_nodule_diagnosis_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "lung nodule diagnosis vqa", + "data_source": "https://www.kaggle.com/code/zaibunnisaa/lung-cancer-cam-attempting-92-accuracy-ver5", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Medicine" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "lnd0151", + "input": { + "image_file": "0150.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0173", + "input": { + "image_file": "0172.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0289", + "input": { + "image_file": "0288.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0085", + "input": { + "image_file": "0084.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0097", + "input": { + "image_file": "0096.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0115", + "input": { + "image_file": "0114.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0292", + "input": { + "image_file": "0291.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0222", + "input": { + "image_file": "0221.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0044", + "input": { + "image_file": "0043.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "lnd0005", + "input": { + "image_file": "0004.png", + "question": "Cound you please tell me whether the lung nodule in the given image is malignant? Yes or no?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/mammal_recognition/annotation.json b/Scope-A/S-A-Quick/image/comprehension/mammal_recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fd080c23360a567bfebc5888294e94b122cd8b50 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/mammal_recognition/annotation.json @@ -0,0 +1,92 @@ +{ + "task": "Mammal Recognition", + "data_source": "https://www.kaggle.com/datasets/anirudhg15/mammals-classification", + "type": "comprehension", + "skill": "Object Recognition(Object Recog)", + "domain": "General", + "capability": "Content Recognition", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/MammalReco0106.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0106" + }, + { + "input": { + "image_file": "images/MammalReco0240.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0240" + }, + { + "input": { + "image_file": "images/MammalReco0448.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0448" + }, + { + "input": { + "image_file": "images/MammalReco0295.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0295" + }, + { + "input": { + "image_file": "images/MammalReco0172.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0172" + }, + { + "input": { + "image_file": "images/MammalReco0491.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0491" + }, + { + "input": { + "image_file": "images/MammalReco0104.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0104" + }, + { + "input": { + "image_file": "images/MammalReco0192.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0192" + }, + { + "input": { + "image_file": "images/MammalReco0036.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0036" + }, + { + "input": { + "image_file": "images/MammalReco0048.jpg", + "prompt": "recognize mammals in the image" + }, + "id": "MammalReco0048" + } + ], + "others": {}, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/mathematical_statistical_reasoning_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/mathematical_statistical_reasoning_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c1c2e5c259b50f25a05959b32fade6e4c6e3f0ae --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/mathematical_statistical_reasoning_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "mathematical statistical reasoning vqa", + "data_source": "https://github.com/lupantech/MathVista?tab=readme-ov-file", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Mathematics" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "mfv0089", + "input": { + "image_file": "775.jpg", + "question": "Is Orange Red the roughest? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0093", + "input": { + "image_file": "812.jpg", + "question": "Does the gray bar always have smaller value? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0086", + "input": { + "image_file": "722.jpg", + "question": "Is Deep Sky Blue the high median? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0008", + "input": { + "image_file": "66.jpg", + "question": "Choose the answer for the missing picture. The candidate choices are ['A', 'B', 'C', 'D', 'E', 'F'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0097", + "input": { + "image_file": "843.jpg", + "question": "Is Aqua greater than Red? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0047", + "input": { + "image_file": "445.jpg", + "question": "Is Light Slate less than Saddle Brown? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0067", + "input": { + "image_file": "580.jpg", + "question": "Is Slate the high median? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0112", + "input": { + "image_file": "937.jpg", + "question": "Is Dark Periwinkle the roughest? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0105", + "input": { + "image_file": "892.jpg", + "question": "Does New Jersey have a higher value than Georgia ? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mfv0027", + "input": { + "image_file": "239.jpg", + "question": "Is Sky Blue the minimum? The candidate choices are ['yes', 'no'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/mathematical_synthetic_scene_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/mathematical_synthetic_scene_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fa59c6a38f94cf73d54d25972e6b04469936d87f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/mathematical_synthetic_scene_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "Practical Math VQA", + "data_source": "https://github.com/lupantech/MathVista?tab=readme-ov-file", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Mathematics" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "pmv0001", + "input": { + "image_file": "8.jpg", + "question": "Is the number of tiny gray bicycles that are on the left side of the brown metal sedan greater than the number of things that are to the left of the tiny green bicycle? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0063", + "input": { + "image_file": "705.jpg", + "question": "Is the heart wider than more than half the width of the thorax? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0083", + "input": { + "image_file": "900.jpg", + "question": "Is the number of rubber cars less than the number of brown jets? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0072", + "input": { + "image_file": "774.jpg", + "question": "Are there fewer large matte utility bikes than small yellow bicycles? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0041", + "input": { + "image_file": "495.jpg", + "question": "Are there fewer green things in front of the blue metallic car than choppers right of the chopper? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0030", + "input": { + "image_file": "356.jpg", + "question": "Are there fewer big motorbikes than rubber choppers? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0014", + "input": { + "image_file": "140.jpg", + "question": "Which food has the least carbs? The candidate choices are ['soup', 'water', 'sandwich', 'buns'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0058", + "input": { + "image_file": "673.jpg", + "question": "Is the number of large green cars less than the number of brown rubber double buss? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0081", + "input": { + "image_file": "870.jpg", + "question": "Are there more tiny motorbikes in front of the small cyan tandem bike than big cyan metal double buss? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pmv0061", + "input": { + "image_file": "689.jpg", + "question": "Are these people sitting in a circle? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/mathematical_textbook_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/mathematical_textbook_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5abbdcb2906005bbb81960a851478bf1cc43fa6c --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/mathematical_textbook_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "mathematical textbook vqa", + "data_source": "https://github.com/lupantech/MathVista?tab=readme-ov-file", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Mathematics" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "mtv0006", + "input": { + "image_file": "43.jpg", + "question": "Use the graph to answer the question below. Which month is the wettest on average in Christchurch? The candidate choices are ['August', 'April', 'May'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0104", + "input": { + "image_file": "954.jpg", + "question": "A partial food web is shown below. Which of the following will most likely happen if the snake population decreases? The candidate choices are ['Cricket will increase', 'Mouse will increase', 'Rabbit will increase', 'All of above'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0064", + "input": { + "image_file": "661.jpg", + "question": "What is this function most likely be? The candidate choices are ['a polynomial', 'a trigonometric function', 'an exponential function', 'a logarithmic function'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0038", + "input": { + "image_file": "293.jpg", + "question": "From the above food web diagram, grasshopper population increase if The candidate choices are ['grouse decrease', 'chipmunk increases', 'grasses increases', 'elk increase'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0007", + "input": { + "image_file": "46.jpg", + "question": "What would happen to the population of adult spiders if predator ate all the spider eggs? The candidate choices are ['Adult spider population would remain the same', 'Adult spider population would double.', 'Adults spider population would decrease', 'Adult spider population would increase.'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0030", + "input": { + "image_file": "232.jpg", + "question": "The diagram below is a model of two solutions. Each pink ball represents one particle of solute. Which solution has a higher concentration of pink particles? The candidate choices are ['neither; their concentrations are the same', 'Solution B', 'Solution A'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0089", + "input": { + "image_file": "836.jpg", + "question": "What is the smallest species shown? The candidate choices are ['chinlea', 'arganodus', 'semionotus', 'xenacanthus'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0049", + "input": { + "image_file": "418.jpg", + "question": "If the number of grasshoppers decreases, what will the population of spiders most likely do? The candidate choices are ['remain the same', 'increase', 'decrease', 'NA'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0033", + "input": { + "image_file": "260.jpg", + "question": "Is the derivative of the function positive between [1, 2] assuming that it's differentiable? The candidate choices are ['Yes', 'No'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mtv0097", + "input": { + "image_file": "902.jpg", + "question": "If the leaf base has an angle greater than 90 degrees, what is it called? The candidate choices are ['obtuse', 'decurrent', 'cuneate', 'acute'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/mathematical_word_problem_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/mathematical_word_problem_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d3cd427f37531bd6db06fe48a6b4d9e0e23842fd --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/mathematical_word_problem_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "mathematical word problem vqa", + "data_source": "https://github.com/lupantech/MathVista?tab=readme-ov-file", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Mathematics" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "mwpv0015", + "input": { + "image_file": "477.jpg", + "question": "What time is shown? Answer by typing a time word, not a number. It is (_) past three. The candidate choices are ['half', 'quarter', \"o'clock\", 'quarter to', 'quarter past'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0002", + "input": { + "image_file": "87.jpg", + "question": "Look at the table. Then answer the question. At a price of $790, is there a shortage or a surplus?' The candidate choices are ['shortage', 'surplus'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0014", + "input": { + "image_file": "419.jpg", + "question": "What time is shown? Answer by typing a time word, not a number. It is (_) after nine. The candidate choices are ['half', 'quarter', \"o'clock\", 'quarter to', 'quarter past'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0009", + "input": { + "image_file": "337.jpg", + "question": "What time is shown? Answer by typing a time word, not a number. It is (_) to eight. The candidate choices are ['half', 'quarter', \"o'clock\", 'quarter to', 'quarter past'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0011", + "input": { + "image_file": "389.jpg", + "question": "Look at the table. Then answer the question. At a price of $320, is there a shortage or a surplus?' The candidate choices are ['shortage', 'surplus'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0005", + "input": { + "image_file": "272.jpg", + "question": "What time does the clock show? The candidate choices are ['9:30', '1:30', '4:30', '5:30', '11:30'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0018", + "input": { + "image_file": "540.jpg", + "question": "What fraction of the shape is blue? The candidate choices are ['3/11', '8/11', '6/11', '3/5'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0003", + "input": { + "image_file": "107.jpg", + "question": "What time is shown? Answer by typing a time word, not a number. It is (_) past six. The candidate choices are ['half', 'quarter', \"o'clock\", 'quarter to', 'quarter past'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0004", + "input": { + "image_file": "226.jpg", + "question": "What time is shown? Answer by typing a time word, not a number. It is (_) past three. The candidate choices are ['half', 'quarter', \"o'clock\", 'quarter to', 'quarter past'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "mwpv0016", + "input": { + "image_file": "526.jpg", + "question": "What has been done to this letter? The candidate choices are ['slide', 'flip', 'turn'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/medical-device-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/medical-device-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..92c28469aca32048b684f790b38c9324625cfdda --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/medical-device-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "medical-device-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "Medicine", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/WhatsApp-Image-2024-05-05-at-19-45-51-1-_jpeg_jpg.rf.2294526857c5d019eb66cdfc9fd79189.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0127" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/R-Copy_jpg.rf.860cee844012816b2197d9e8031c7c10.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0121" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/hand-sanitizer-brands_16_jpg.rf.b06cd4a8e5218db885e82afbfa1fac6c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0042" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/hand-sanitizer-brands_192_jpg.rf.591828297e9ade067547637311451d60.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0129" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/thermometer_33_jpg.rf.bc6e2ece843f17510ed4b592c452d253.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0186" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/defibrilator_new_22_jpg.rf.5f86529a7e2e4dbe9ea2f887338e3017.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0346" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/hand-sanitizer-brands_99_jpg.rf.46398e93553f17edba77e87544e40acd.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0098" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/Manual-External-Defibrillator_61_jpg.rf.1e674a79378d123bbf5988ec840b7f01.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0328" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/X-Ray105_jpg.rf.1d59aa7a0f75d31ac3f63c1f5f53c2cf.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0442" + }, + { + "input": { + "image_file": "./data/comprehension/medical-device-detection/images/HospitalbedFV_139_jpg.rf.744edbde81704ef245350bb112099261.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0114" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/medical_image_qa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/medical_image_qa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e62a519cd5bc63ac8bae942a250284c1a56e7da7 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/medical_image_qa/annotation.json @@ -0,0 +1,101 @@ +{ + "task": "medical image qa", + "data_source": "https://www.kaggle.com/datasets/mitanshuchakrawarty/medical-visual-question-answering", + "type": "comprehension", + "skill": "Image Visual Question Answering (Img VQA)", + "domain": "Medicine", + "capability": "Commonsense Knowledge", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/synpic58902.jpg", + "question": "Is the CSF enhanced or non enhanced?", + "prompt": "answer the question according to the given image" + }, + "id": "miq1759" + }, + { + "input": { + "image_file": "images/synpic52932.jpg", + "question": "What lung pathology is this image concerning for?", + "prompt": "answer the question according to the given image" + }, + "id": "miq1997" + }, + { + "input": { + "image_file": "images/synpic15006.jpg", + "question": "Is there deviation in the trachea?", + "prompt": "answer the question according to the given image" + }, + "id": "miq1917" + }, + { + "input": { + "image_file": "images/synpic21776.jpg", + "question": "Are >12 ribs present in the image?", + "prompt": "answer the question according to the given image" + }, + "id": "miq0032" + }, + { + "input": { + "image_file": "images/synpic21700.jpg", + "question": "Is there gastric fullness?", + "prompt": "answer the question according to the given image" + }, + "id": "miq0721" + }, + { + "input": { + "image_file": "images/synpic29048.jpg", + "question": "The image has an abnormality located where?", + "prompt": "answer the question according to the given image" + }, + "id": "miq1954" + }, + { + "input": { + "image_file": "images/synpic59131.jpg", + "question": "What is abnormal about the occipital lobe?", + "prompt": "answer the question according to the given image" + }, + "id": "miq0937" + }, + { + "input": { + "image_file": "images/synpic39301.jpg", + "question": "What is the likely pathology?", + "prompt": "answer the question according to the given image" + }, + "id": "miq0684" + }, + { + "input": { + "image_file": "images/synpic18250.jpg", + "question": "What is one abnormality that can be seen in the image?", + "prompt": "answer the question according to the given image" + }, + "id": "miq2206" + }, + { + "input": { + "image_file": "images/synpic53097.jpg", + "question": "Is the mass calcified?", + "prompt": "answer the question according to the given image" + }, + "id": "miq0889" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/microorganism_image_classification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/microorganism_image_classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e018a1894cdb74a7d63e5186ce8e1ebfe221e383 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/microorganism_image_classification/annotation.json @@ -0,0 +1,112 @@ +{ + "set_type": "closeset", + "task": "microorganism classification", + "data_source": "", + "type": "comprehension", + "modality": { + "in": [ + "image" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "skill": "Object Recognition", + "domain": "Biology", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "id": "mc_28", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/469.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_2", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/2.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_45", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/108.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_24", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/213.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_30", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/219.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_35", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/161.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_54", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/117.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_36", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/477.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_24", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/87.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + }, + { + "id": "mc_23", + "input": { + "image_files": "data/image/comprehension/microogranism_classification/images/86.jpg", + "instruction": "Please classify the image into one of the following categories: [Paramecium, Rod_bacteria, Yeast, Hydra, Spiral_bacteria, Spherical_bacteria, Amoeba, Euglena].", + "prompt": "Analyze the image and classify it" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/parking-space-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/parking-space-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3d200047e40367f0ff88908d3af9c29748408e8d --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/parking-space-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "parking-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231025152430_jpg.rf.e9935f8fbdbd8c844f1a37992cb9a61d.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0476" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/img158_jpg.rf.d40fd63990f0d566265afc2fdee193af.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0220" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231127142454_jpg.rf.8da4fb39ca2ba753d936ef4737c60b59.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0305" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231127142524_jpg.rf.35f2d1d93884cb4924bfddf0c84c9f70.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0445" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231127125650_jpg.rf.db48531cbec10e4ae0c1be455d383096.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0374" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231127123920_jpg.rf.6e8e3f6af25de9a71fc19e2b6d8a6cbb.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0442" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/IMG_20230109_143239-Copy_jpg.rf.36e1ccb39401dd65a5052021b765e060.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0058" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231025152420_jpg.rf.3dffda6dd23b02d865af4052b4dfa88c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0482" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/IMG_20230109_142807-Copy_jpg.rf.e89ebf3a78ed4e33727bdf5f24900924.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0062" + }, + { + "input": { + "image_file": "./data/comprehension/parking-detection/images/reolink_image_20231127142224_jpg.rf.3246c24b251834a03c22c15757dfe918.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0068" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/pedestrian_semantic_segmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/pedestrian_semantic_segmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..db5f70ae4acc33b08e327cdd3491df507af9f448 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/pedestrian_semantic_segmentation/annotation.json @@ -0,0 +1,162 @@ +{ + "task": "pedestrian semantic segmentation", + "data_source": "cityscapes", + "type": "comprehension", + "skill": "Image Semantic Segmentation (Img Sem Seg)", + "domain": "General", + "capability": "Content Recognition, Commonsense Knowledge", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/frankfurt/frankfurt_000000_020321_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0205" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_028590_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0188" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000000_009291_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0330" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_080391_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0177" + }, + { + "input": { + "image_file": "images/munster/munster_000007_000019_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0071" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000000_009969_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0182" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_049078_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0312" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_013710_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0386" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_077233_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0239" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_037705_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0397" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_020693_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0308" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_032942_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0180" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_044525_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0203" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_067474_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0217" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_004859_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0313" + }, + { + "input": { + "image_file": "images/munster/munster_000061_000019_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0004" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000000_012009_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0223" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_062016_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0197" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_008688_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0162" + }, + { + "input": { + "image_file": "images/frankfurt/frankfurt_000001_044658_leftImg8bit.png", + "prompt": "Segment out the pedestrian in the image" + }, + "id": "ps0276" + } + ], + "others": {}, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/people-clothing-segmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/people-clothing-segmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..18b0923cd84a49052eabf9ea73883a63192d57e3 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/people-clothing-segmentation/annotation.json @@ -0,0 +1,225 @@ +{ + "task": "people clothing segmentation", + "data_source": "https://www.kaggle.com/datasets/rajkumarl/people-clothing-segmentation", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "skill": "Image Semantic Segmentation", + "domain": [ + "General" + ], + "general_capability": [ + "Content Recognition" + ], + "version": "1.0", + "data": [ + { + "input": { + "image_file": "img_0231.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0294" + }, + { + "input": { + "image_file": "img_0112.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0166" + }, + { + "input": { + "image_file": "img_0223.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0357" + }, + { + "input": { + "image_file": "img_0409.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0486" + }, + { + "input": { + "image_file": "img_0444.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0262" + }, + { + "input": { + "image_file": "img_0450.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0288" + }, + { + "input": { + "image_file": "img_0036.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0496" + }, + { + "input": { + "image_file": "img_0359.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0315" + }, + { + "input": { + "image_file": "img_0292.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0360" + }, + { + "input": { + "image_file": "img_0151.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0395" + }, + { + "input": { + "image_file": "img_0460.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0047" + }, + { + "input": { + "image_file": "img_0439.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0138" + }, + { + "input": { + "image_file": "img_0170.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0059" + }, + { + "input": { + "image_file": "img_0045.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0323" + }, + { + "input": { + "image_file": "img_0493.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0254" + }, + { + "input": { + "image_file": "img_0195.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0090" + }, + { + "input": { + "image_file": "img_0024.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0477" + }, + { + "input": { + "image_file": "img_0340.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0275" + }, + { + "input": { + "image_file": "img_0094.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0319" + }, + { + "input": { + "image_file": "img_0097.jpeg", + "prompt": "Segment out the people clothing area in the image" + }, + "output": { + "map_file": "" + }, + "id": "pcs0095" + } + ], + "others": {} +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/person-hair-matting/annotation.json b/Scope-A/S-A-Quick/image/comprehension/person-hair-matting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1db25a5379b47aa2f00a324087df9dfc8aad101b --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/person-hair-matting/annotation.json @@ -0,0 +1,222 @@ +{ + "set_type": "closeset", + "task": "hair mask detection", + "data_source": "", + "type": "comprehension", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Object Matting", + "domain": "General-domain", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "id": "hmd_191", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/191.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/191.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_307", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/307.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/307.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_389", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/389.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/389.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_497", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/497.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/497.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_375", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/375.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/375.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_387", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/387.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/387.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_304", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/304.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/304.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_296", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/296.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/296.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_281", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/281.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/281.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_276", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/276.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/276.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_141", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/141.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/141.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_491", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/491.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/491.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_150", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/150.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/150.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_175", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/175.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/175.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_53", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/53.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/53.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_449", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/449.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/449.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_155", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/155.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/155.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_263", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/263.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/263.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_450", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/450.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/450.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + }, + { + "id": "hmd_122", + "input": { + "image_files": "data/image/comprehension/hair_mask_detecting/images/122.jpg", + "sketch_files": "data/image/comprehension/hair_mask_detecting/sketch/122.jpg", + "instruction": "Please generate a mask for the image. You may use the sketch to help you generate the mask.", + "prompt": "Analyze the image and generate a mask for it." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/pest-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/pest-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..587269aaba6e413a5e03b35c427a8e7eba42cb22 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/pest-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "pest-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "Biology", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/frame_946_jpg.rf.b37f3cf641e08a0dc794f11bd5994f41.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0358" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/images-25_jpeg_jpg.rf.13118bfb00f96896110786c05d906e72.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0174" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/image-6_jpeg_jpg.rf.6901ee65d27975e421f901085f03b3f3.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0012" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/276_jpg.rf.8dcd812af0f134a033cd99e18c855608.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0158" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/188_jpg.rf.ad45a3fd4afb91a2b045140b5aca747b.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0370" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/32_jpg.rf.f11ac4c42587ef90d631b932f976351c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0442" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/177_jpg.rf.c59f439c5c4b83d248791cfc4494572b.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0414" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/183_jpg.rf.ed4ca19a038468616149214ffe523064.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0282" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/61_jpg.rf.e509bae04918f9b39654847981828750.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0025" + }, + { + "input": { + "image_file": "./data/comprehension/pest-detection/images/image-8_jpeg_jpg.rf.a6f834e365cdb5300093c056c10dc1b5.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0417" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/physics_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/physics_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d60c062f849df95afc39e1af5386f5f579553f60 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/physics_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "physics vqa", + "data_source": "https://github.com/lupantech/ScienceQA", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Physics" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "pkv0389", + "input": { + "image_file": "18081_image.png", + "question": "What is the direction of this push? The candidate choices are [\"toward the man's thumb\", \"away from the man's thumb\"].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0099", + "input": { + "image_file": "4585_image.png", + "question": "Will these magnets attract or repel each other? The candidate choices are ['attract', 'repel'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0347", + "input": { + "image_file": "16189_image.png", + "question": "Compare the average kinetic energies of the particles in each sample. Which sample has the higher temperature? The candidate choices are ['sample A', 'sample B', 'neither; the samples have the same temperature'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0217", + "input": { + "image_file": "10559_image.png", + "question": "Think about the magnetic force between the magnets in each pair. Which of the following statements is true? The candidate choices are ['The magnitude of the magnetic force is the same in both pairs.', 'The magnitude of the magnetic force is greater in Pair 2.', 'The magnitude of the magnetic force is greater in Pair 1.'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0201", + "input": { + "image_file": "9708_image.png", + "question": "Which property matches this object? The candidate choices are ['hard', 'soft'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0387", + "input": { + "image_file": "18038_image.png", + "question": "Which property do these three objects have in common? The candidate choices are ['rough', 'fuzzy', 'sticky'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0285", + "input": { + "image_file": "13187_image.png", + "question": "Which property do these three objects have in common? The candidate choices are ['colorful', 'bouncy', 'slippery'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0360", + "input": { + "image_file": "16921_image.png", + "question": "Think about the magnetic force between the magnets in each pair. Which of the following statements is true? The candidate choices are ['The magnetic force is stronger in Pair 1.', 'The strength of the magnetic force is the same in both pairs.', 'The magnetic force is stronger in Pair 2.'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0132", + "input": { + "image_file": "5785_image.png", + "question": "Compare the average kinetic energies of the particles in each sample. Which sample has the higher temperature? The candidate choices are ['sample A', 'sample B', 'neither; the samples have the same temperature'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + }, + { + "id": "pkv0052", + "input": { + "image_file": "2642_image.png", + "question": "Is an empty glass a solid, a liquid, or a gas? The candidate choices are ['a gas', 'a liquid', 'a solid'].", + "prompt": "Please answer the question based on the image, selecting one from the given choices." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/plant-disease-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/plant-disease-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..044fd9234db5ea17f7bb143db7be8ce2d6bf67c5 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/plant-disease-detection/annotation.json @@ -0,0 +1,823 @@ +{ + "set_type": "closeset", + "task": "plant-disease-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Disease Detection", + "domain": "Biology", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + 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+ ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/reasoning_and_compositional_image_qa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/reasoning_and_compositional_image_qa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..337e502b3888bb1ad8e4afcab5f5460b95bc5116 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/reasoning_and_compositional_image_qa/annotation.json @@ -0,0 +1,101 @@ +{ + "task": "reasoning and compositional image qa", + "data_source": "gqa", + "type": "comprehension", + "skill": "Image Visual QuestionAnswering (Img VQA)", + "domain": "General", + "capability": "Content Recognition, Reasoning Ability", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/2364349.jpg", + "question": "Is there a fruit in the bowl located to the right of the vase?", + "prompt": "answer the question according 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} + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/remote_sense_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/remote_sense_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..004f1338fbf87608cb2317fd4f4a9ac354204756 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/remote_sense_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "remote sense vqa", + "data_source": "https://paperswithcode.com/dataset/earthvqa", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Earth" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "rsv0244", + "input": { + "image_file": "2836.png", + "question": "Is there any uncultivated agricultural land in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0262", + "input": { + "image_file": "3590.png", + "question": "Are there any playgrounds in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0069", + "input": { + "image_file": "3796.png", + "question": "Is there any park land in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0153", + "input": { + "image_file": "2668.png", + "question": "Is there any residential land in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0042", + "input": { + "image_file": "3336.png", + "question": "Are there any roads in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0220", + "input": { + "image_file": "4130.png", + "question": "Is there any commercial land in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0224", + "input": { + "image_file": "3286.png", + "question": "Are there any roads in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0084", + "input": { + "image_file": "3689.png", + "question": "Are there any roads in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0148", + "input": { + "image_file": "3627.png", + "question": "Is there any agriculture in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + }, + { + "id": "rsv0059", + "input": { + "image_file": "2790.png", + "question": "Is there any residential land in this scene?", + "prompt": "Please answer the question based on the image with yes or no." + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/retail-object-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/retail-object-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4f71b59b54ede176e53d48e0990d24dcbf2646ad --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/retail-object-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "retail-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "General", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_5_jpg.rf.a3f9bdec74472faf722b57e65defcde9.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0490" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/ea57aca3-IMG_20211002_122109_jpg.rf.b1de74472c56ee1a9583c48b4bd3fbcd.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0333" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_128_jpg.rf.0bbbb814f2a03e093a2f6c8175b24f7e.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0108" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_224_jpg.rf.2d02a0a249016ce9ac8f07d4539e48d1.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0287" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_281_jpg.rf.e245ebd2371f2d156fe41e9758403610.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0419" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_36_jpg.rf.a7581ac9aa34d4bfbb764794d71cd48f.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0422" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_50_jpg.rf.d7b425e505ed744e780b535a125b9aea.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0115" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_257_jpg.rf.a17d010a797029172289d5e9f6387925.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0364" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/test_11_jpg.rf.7484349e8865ccb20c32f278c2af451e.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0245" + }, + { + "input": { + "image_file": "./data/comprehension/retail-detection/images/6bb5c759-IMG_20210928_130507_jpg.rf.a46d93d54f3b3168b11337110df13ea1.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0291" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/road_scene_panoptic_segmentation/annotation.json b/Scope-A/S-A-Quick/image/comprehension/road_scene_panoptic_segmentation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6f8fc3ba7a6df93e1d3e4f20798b834bc221d26e --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/road_scene_panoptic_segmentation/annotation.json @@ -0,0 +1,306 @@ +{ + "task": "road scene panoptic segmentation", + "data_source": "cityscapes", + "type": "comprehension", + "skill": "Panoptic Segmentation (Panoptic Seg)", + "domain": "General", + "capability": "Content Recognition, Commonsense Knowledge", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image", + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": "images/munster_000156_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0483" + }, + { + "input": { + "image_file": "images/munster_000160_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0487" + }, + { + "input": { + "image_file": "images/munster_000129_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0456" + }, + { + "input": { + "image_file": "images/lindau_000040_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0308" + }, + { + "input": { + "image_file": "images/munster_000002_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0329" + }, + { + "input": { + "image_file": "images/munster_000035_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0362" + }, + { + "input": { + "image_file": "images/frankfurt_000001_055062_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0190" + }, + { + "input": { + "image_file": "images/frankfurt_000001_055306_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0192" + }, + { + "input": { + "image_file": "images/munster_000037_000019_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0364" + }, + { + "input": { + "image_file": "images/frankfurt_000000_020321_leftImg8bit.png", + "prompt": "Perform panoptic segmentation for the given image" + }, + "id": "rsps0045" + } + ], + "others": { + "notice": "when you load the PNG as an RGB image, you will need to compute the ids via ids=R+G*256+B*256^2.\n for the details about the use of the annotation files, please refer to the coco format panoptic segmentation: https://cocodataset.org/#format-data", + "categories": [ + { + "color": [ + 128, + 64, + 128 + ], + "id": 7, + "isthing": 0, + "name": "road", + "supercategory": "flat" + }, + { + "color": [ + 244, + 35, + 232 + ], + "id": 8, + "isthing": 0, + "name": "sidewalk", + "supercategory": "flat" + }, + { + "color": [ + 70, + 70, + 70 + ], + "id": 11, + "isthing": 0, + "name": "building", + "supercategory": "construction" + }, + { + "color": [ + 102, + 102, + 156 + ], + "id": 12, + "isthing": 0, + "name": "wall", + "supercategory": "construction" + }, + { + "color": [ + 190, + 153, + 153 + ], + "id": 13, + "isthing": 0, + "name": "fence", + "supercategory": "construction" + }, + { + "color": [ + 153, + 153, + 153 + ], + "id": 17, + "isthing": 0, + "name": "pole", + "supercategory": "object" + }, + { + "color": [ + 250, + 170, + 30 + ], + "id": 19, + "isthing": 0, + "name": "traffic light", + "supercategory": "object" + }, + { + "color": [ + 220, + 220, + 0 + ], + "id": 20, + "isthing": 0, + "name": "traffic sign", + "supercategory": "object" + }, + { + "color": [ + 107, + 142, + 35 + ], + "id": 21, + "isthing": 0, + "name": "vegetation", + "supercategory": "nature" + }, + { + "color": [ + 152, + 251, + 152 + ], + "id": 22, + "isthing": 0, + "name": "terrain", + "supercategory": "nature" + }, + { + "color": [ + 70, + 130, + 180 + ], + "id": 23, + "isthing": 0, + "name": "sky", + "supercategory": "sky" + }, + { + "color": [ + 220, + 20, + 60 + ], + "id": 24, + "isthing": 1, + "name": "person", + "supercategory": "human" + }, + { + "color": [ + 255, + 0, + 0 + ], + "id": 25, + "isthing": 1, + "name": "rider", + "supercategory": "human" + }, + { + "color": [ + 0, + 0, + 142 + ], + "id": 26, + "isthing": 1, + "name": "car", + "supercategory": "vehicle" + }, + { + "color": [ + 0, + 0, + 70 + ], + "id": 27, + "isthing": 1, + "name": "truck", + "supercategory": "vehicle" + }, + { + "color": [ + 0, + 60, + 100 + ], + "id": 28, + "isthing": 1, + "name": "bus", + "supercategory": "vehicle" + }, + { + "color": [ + 0, + 80, + 100 + ], + "id": 31, + "isthing": 1, + "name": "train", + "supercategory": "vehicle" + }, + { + "color": [ + 0, + 0, + 230 + ], + "id": 32, + "isthing": 1, + "name": "motorcycle", + "supercategory": "vehicle" + }, + { + "color": [ + 119, + 11, + 32 + ], + "id": 33, + "isthing": 1, + "name": "bicycle", + "supercategory": "vehicle" + } + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/rock-paper-scissors-gesture-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/rock-paper-scissors-gesture-detection/annotation.json new file mode 100644 index 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"Generate html code according to the sketch" + }, + "id": "scg0480" + }, + { + "input": { + "image_file": "images/4B30D5CE-07B5-40D5-932B-193D40551B44.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0225" + }, + { + "input": { + "image_file": "images/10CD315C-7EDA-4D5C-AEB6-0AE9C0E98F93.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0084" + }, + { + "input": { + "image_file": "images/3C405AA7-086D-41D0-A6CB-7154A386340C.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0066" + }, + { + "input": { + "image_file": "images/3D99910F-C6A3-4FF6-985D-F71AC4652DA7.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0109" + }, + { + "input": { + "image_file": "images/8EC58508-E45F-4BD2-AF85-318F70D64FD8.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0034" + }, + { + "input": { + "image_file": 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"image_file": "images/1EB42A93-71AB-4631-AF7A-42B9CB2BC52A.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0111" + }, + { + "input": { + "image_file": "images/35D4728C-C9A6-4EF3-9138-E7538375F201.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0138" + }, + { + "input": { + "image_file": "images/2B286BD0-9522-4EE1-A7FB-5C13B47D1DBE.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0206" + }, + { + "input": { + "image_file": "images/4D9CE5F9-B9CD-4268-829E-81DF7B9D332F.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0127" + }, + { + "input": { + "image_file": "images/7C7D53B9-CEDB-4338-8486-08F09FE912B6.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0030" + }, + { + "input": { + "image_file": "images/4D33EA95-2938-4F72-A27E-A46FC877E2A4.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0300" + }, + { + "input": { + "image_file": "images/2B96F9B7-C724-4927-BD82-9042F738005D.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0438" + }, + { + "input": { + "image_file": "images/6B2BFD00-C37B-41E8-9A46-6F2407571F4C.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0330" + }, + { + "input": { + "image_file": "images/1E5D1FFD-6212-4540-A67C-37B9A97747A8.png", + "prompt": "Generate html code according to the sketch" + }, + "id": "scg0510" + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/skin_disease_diagnosis_vqa/annotation.json b/Scope-A/S-A-Quick/image/comprehension/skin_disease_diagnosis_vqa/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7072a76a268f799e10df63c558bf60952c32ab9e --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/skin_disease_diagnosis_vqa/annotation.json @@ -0,0 +1,134 @@ +{ + "task": "skin disease vqa", + "data_source": "https://www.kaggle.com/datasets/fanconic/skin-cancer-malignant-vs-benign", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "skill": "Image Visual Question Answering", + "domain": [ + "Medicine" + ], + "general_capability": [ + "Reasoning Ability" + ], + "version": "1.0", + "data": [ + { + "id": "sddv0175", + "input": { + "image_file": "malignant_54.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0102", + "input": { + "image_file": "benign_1191.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0286", + "input": { + "image_file": "malignant_419.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0243", + "input": { + "image_file": "malignant_3.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0151", + "input": { + "image_file": "malignant_1094.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0003", + "input": { + "image_file": "benign_559.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0036", + "input": { + "image_file": "benign_1365.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0222", + "input": { + "image_file": "malignant_568.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0088", + "input": { + "image_file": "benign_612.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + }, + { + "id": "sddv0190", + "input": { + "image_file": "malignant_859.jpg", + "question": "Cound you please tell me is there any skin disease shown in the given image? Benign or malignant?", + "prompt": "Answer the question based on the given image" + }, + "output": { + "text": "" + } + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/small_object_detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/small_object_detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e2760f082545dc6c35881eb9c744bda553912135 --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/small_object_detection/annotation.json @@ -0,0 +1,94 @@ +{ + "task": "small object detection", + "data_source": "https://www.kaggle.com/datasets/waelyahyayaseen/grand-dataset-for-small-object-detection", + "type": "comprehension", + "skill": "Object Detection (Object Det)", + "domain": "General", + "capability": "Content Recognition, Commonsense Knowledge", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "input": { + "image_file": 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"truck", + "3": "bus", + "4": "train", + "5": "motorcycle", + "6": "bicycle" + } + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/waste-item-image-classification/annotation.json b/Scope-A/S-A-Quick/image/comprehension/waste-item-image-classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88ea2a61918ce50b6f6a95f93701cc256d85356f --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/waste-item-image-classification/annotation.json @@ -0,0 +1,104 @@ +{ + "set_type": "closeset", + "task": "realwaste image classification", + "data_source": "https://www.kaggle.com/datasets/joebeachcapital/realwaste", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "skill": "Object Recognition", + "domain": "General-domain", + "general_capability": [ + "Content Recognition", + "Commonsense Knowledge" + ], + "data": [ + { + "id": "wic_0217", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Food Organics/Food Organics_42.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0422", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Miscellaneous Trash/Miscellaneous Trash_10.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0168", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Cardboard/Cardboard_52.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0194", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Food Organics/Food Organics_21.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0281", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Glass/Glass_46.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0029", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Paper/Paper_35.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0385", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Textile Trash/Textile Trash_31.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0356", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Vegetation/Vegetation_6.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0492", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Plastic/Plastic_2.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + }, + { + "id": "wic_0298", + "input": { + "image_file": "./data/image/comprehension/realwaste_image_classification/images/Glass/Glass_7.jpg", + "prompt": "Classify the waste type of the image" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/comprehension/wound-detection/annotation.json b/Scope-A/S-A-Quick/image/comprehension/wound-detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..916fa3561f4955c812adf5950b426c7c675be3da --- /dev/null +++ b/Scope-A/S-A-Quick/image/comprehension/wound-detection/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "wound-detection", + "data_source": "roboflow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": "2.0", + "skill": "Object Detection", + "domain": "Medicine", + "general_capability": [ + "Content Recognition" + ], + "data": [ + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-468-_png.rf.5066c7f6465dc906a124b2f10ce6bb46.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0344" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-135-_png.rf.bb7dcbdae1957d35df23d31f4e9a08b3.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0323" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-293-_png.rf.de946ad60a49a3d110efac286f3ab145.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0328" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-30-_png.rf.4da0ea712a33e3b6a5a3c66c1ccf2db9.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0356" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-297-_png.rf.7d938e4ab55affc8caf52296d34a6a86.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0014" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-478-_png.rf.d0e69a374482991163d95a255c48550c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0250" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-400-_png.rf.ca2b3af7e4ef900646d29e578d92885c.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0443" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-200-_png.rf.312d8904c056e66ae3dd17f6e2ae9db6.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0195" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-503-_png.rf.d8e686c0cbf49c513ed320b1211e1e4b.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0065" + }, + { + "input": { + "image_file": "./data/comprehension/wound-detection/images/Corte_-466-_png.rf.86e7e3ad0cd7ed0c098f300c8a5973bd.jpg", + "prompt": "users' specifically-defined prompts for different models" + }, + "output": {}, + "id": "0097" + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/EEG-based_Image_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/EEG-based_Image_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..95e866a28f6c2cce9edee5abe5157dcec4343101 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/EEG-based_Image_Generation/annotation.json @@ -0,0 +1,473 @@ +{ + "set_type": "closeset", + "task": "brain guided generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "tensor", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-based Image Editing", + "domain": "Ethics", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "bgg_247", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/247.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_204", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/204.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_51", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/51.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_400", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/400.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_186", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/186.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_115", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/115.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_410", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/410.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_469", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/469.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_78", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/78.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_64", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/64.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_19", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/19.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_193", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/193.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_494", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/494.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_433", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/433.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_0", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/0.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_71", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/71.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_477", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/477.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_480", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/480.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_416", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/416.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_299", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/299.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_109", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/109.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_409", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/409.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_54", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/54.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_285", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/285.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_58", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/58.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_236", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/236.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_308", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/308.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_279", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/279.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_105", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/105.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_161", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/161.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_411", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/411.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_328", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/328.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_474", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/474.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_382", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/382.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_98", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/98.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_185", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/185.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_61", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/61.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_311", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/311.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_423", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/423.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_486", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/486.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_293", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/293.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_30", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/30.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_81", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/81.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_36", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/36.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_150", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/150.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_256", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/256.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_321", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/321.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_310", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/310.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_344", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/344.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + }, + { + "id": "bgg_444", + "input": { + "eeg": "data/image/generation/EEG-based_Image_Generation/eegs/444.pth", + "instruction": "Please generate an image based on the EEG signal and classify the image into imagenet-1k categories.", + "prompt": "Generate an image based on the EEG signal and classify the image into imagenet-1k categories." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Handwriting_Text_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Handwriting_Text_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..80bff83501996ccc6003787ecb14065912a1d4bb --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Handwriting_Text_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "handwriting text rendering", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Enhancement", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "htr_215", + "input": { + "prompt": "QUILLAUME", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_146", + "input": { + "prompt": "DEFOULOY", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_175", + "input": { + "prompt": "XABI", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_122", + "input": { + "prompt": "MATEO", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_125", + "input": { + "prompt": "GUILLAUME", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_43", + "input": { + "prompt": "ZOURABELA", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_259", + "input": { + "prompt": "LECUREUR", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_295", + "input": { + "prompt": "ROMANE", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_346", + "input": { + "prompt": "ALICE", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + }, + { + "id": "htr_462", + "input": { + "prompt": "AMAURY", + "instruction": "Please generate a handwriting image based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Image_Detail_Enhancement/annotation.json b/Scope-A/S-A-Quick/image/generation/Image_Detail_Enhancement/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..734612a04ee80d7219bb4d9210dbfc6bc011356f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Image_Detail_Enhancement/annotation.json @@ -0,0 +1,202 @@ +{ + "set_type": "closeset", + "task": "detail enhancement", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Edge-to-Image Generation", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "de_475", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/475.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_458", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/458.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_26", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/26.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_249", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/249.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_53", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/53.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_85", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/85.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_2", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/2.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_123", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/123.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_28", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/28.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_193", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/193.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_20", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/20.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_350", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/350.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_79", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/79.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_345", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/345.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_59", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/59.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_406", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/406.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_176", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/176.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_124", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/124.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_119", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/119.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + }, + { + "id": "de_457", + "input": { + "origin_image": "data/image/generation/Image_Detail_Enhancement/origin-image/457.jpg", + "instruction": "Please enhance the image detail based on the original image.", + "prompt": "Enhance the image detail based on the original image." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Multi-image_Prompt/annotation.json b/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Multi-image_Prompt/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..87ee7041abd0d0ed944e2e11560eee272ec07acb --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Multi-image_Prompt/annotation.json @@ -0,0 +1,282 @@ +{ + "set_type": "closeset", + "task": "example guided image editing", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "EEG-to-Image Generation", + "domain": "Medicine", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "ege_352", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/352.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_426", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/426.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_302", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/302.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_122", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/122.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_473", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/473.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_390", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/390.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_356", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/356.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_163", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/163.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_315", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/315.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_299", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/299.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_218", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/218.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_183", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/183.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_41", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/41.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_118", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/118.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_0", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/0.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_148", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/148.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_425", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/425.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_320", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/320.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_215", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/215.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + }, + { + "id": "ege_291", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/291.jpg", + "example": [ + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_0.jpg", + "data/image/generation/Image_Editing_with_Multi-image_Prompt/source_images/example_1.jpg" + ], + "instruction": "Please edit the image as the example images illustrated.", + "prompt": "Edit the image as the example images illustrated." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Text_and_Image_Prompt/annotation.json b/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Text_and_Image_Prompt/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..99deb2af6641e84972f197038edca142892f1cfe --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Image_Editing_with_Text_and_Image_Prompt/annotation.json @@ -0,0 +1,203 @@ +{ + "set_type": "closeset", + "task": "in-context generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Style Transfer", + "domain": "Art", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "icg_37", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/37.jpg", + "prompt": "William Sidney Mount Dancing on the Beach - Canvas Art Print", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_340", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/340.jpg", + "prompt": "Torres del Paine Fashion Illustration, Patagonia, Chile \u00a9 kavram/Shutterstock", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_150", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/150.jpg", + "prompt": "beautiful sad: Watercolor portrait of a boy with notes and piano keys in his hair. Portrait of a boy who loves music", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_173", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/173.jpg", + "prompt": "Missing Child Seascape - There Is No Fireside... by George Goodwin Kilburne", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_454", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/454.jpg", + "prompt": "3200x1200 Dual Monitor Wallpapers Space (62+ background in purple room)", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_461", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/461.jpg", + "prompt": "\"\"\"The Stone Gate In Autumn, Red Leafs\"\"\"", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_34", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/34.jpg", + "prompt": "Lava stream falling from rocky cliff to a lava stream below; Iceland - p442m2074064 by Robert Postma", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_384", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/384.jpg", + "prompt": "Ben_Woodhams_-Fieldfare.3-Sjagger_3_Bornholm_raven-watercolour_small.jpg", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_211", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/211.jpg", + "prompt": "Neil McBride - Grey Street Newcastle during a storm", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_316", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/316.jpg", + "prompt": "Chocolate mountains shrouded in cloud in Iceland", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_445", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/445.jpg", + "prompt": "Hobo female walks into the horizon at Salar de Uyuni, the Salt Flats in Bolivia Banque d'images", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_498", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/498.jpg", + "prompt": "Ghost of Tsushima in a forest Screenshot 4", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_492", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/492.jpg", + "prompt": "Red Photograph - Red Desk In Sand by Garry Gay", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_72", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/72.jpg", + "prompt": "Dragon on the Marsh- Kent by Beatrice Cloake", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_481", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/481.jpg", + "prompt": "sci fi landscape alien planets - watercolor painting #1", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_300", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/300.jpg", + "prompt": "Mount Shasta's Winter Splendor, post card of Mt Shasta covered in snow by Stefan Baumann", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_140", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/140.jpg", + "prompt": "Jimmy Nelsons Viking Warrior , Ngorongoro, Serengeti, Tanzania. Gjengitt med tillatelse fra WILLAS Contemporary.", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_249", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/249.jpg", + "prompt": "Milarrochy Bay Loch Lomond at Sunset, Painting.", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_66", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/66.jpg", + "prompt": "Green tree frog in a desert (Litoria caerulea) by TallabeenaArt", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + }, + { + "id": "icg_368", + "input": { + "source_image": "data/image/generation/Image_Editing_with_Text_and_Image_Prompt/source_images/368.jpg", + "prompt": "Banaras Ghat during Wedding Ceremony by Yashpal, Impressionism Painting, Acrylic on Canvas, Blue color", + "instruction": "Please edit the image based on the prompt and the source image." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Long-text-based_Image_generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Long-text-based_Image_generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d5326913e294262385d317f48e2ac8930bff11a0 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Long-text-based_Image_generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "Paragraph to image", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image-to-Sketch Generation", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "pti_443", + "input": { + "prompt": "A character adventure comic. The main subject is a woman wearing a blue top. In a dilapidated temple, a woman wearing a blue vest and black trousers, carrying a bow and arrow, and holding a mountaineering pickaxe looks back at the monkey on the branch next to her. There are many flowers and plants around the woman. , there is a monkey on the grass behind her, in front of the woman is a dense jungle, there are some birds flying in the sky, there is a waterfall in the jungle, behind the waterfall is a tower-like building, with white clouds and the sun in the background.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_367", + "input": { + "prompt": "A picture of a natural landscape. The main body is a green-blue river, which flows through valleys and cliffs, showing a winding shape. The river is clear and transparent, surrounded by black soil and rocks. There is some green moss growing on both sides of the river. There are also some water flows in it. These water flows are collected into the river at the bottom of the valley. In the distance are the continuous mountains, blue There are many dark clouds in the sky.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_18", + "input": { + "prompt": "A photo of people and landscapes. The main subject is a man sitting on a ridge looking into the distance. The man is wearing blue long sleeves and dark trousers. In the distance is a large continuous mountain range. In front of the mountain range is a green field and a green-blue lake reflecting The blue light in the sky contrasts with the surrounding mountain peaks. The sky is blue with a few white clouds.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_102", + "input": { + "prompt": "Character portraits. The main body is 15 characters. There were 2 little boys, 12 little girls, and a middle-aged woman. They were all wearing white dresses, and some had woven garlands on their heads. They were standing on the grass. Behind them were the branches of the trees on both sides. , blurred white background, the most prominent thing in the whole picture are these 15 characters.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_144", + "input": { + "prompt": "A landscape photo, with a crystal clear lake in the foreground. There are many stones on the edge of the lake. Some of the stones are completely submerged by the lake water, and some are exposed. In the distance of the lake is a small wooden house with lights on. Behind is a dense forest. The forest is full of tall vegetation. Behind the forest is a towering mountain. There are also some green vegetation at the bottom and mountainside. There are many white clouds in the sky.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_81", + "input": { + "prompt": "A close-up of a character. The subject is a woman. There is a woman standing on the white floor. This person has yellow hair, wears a black top and pants, black high heels, and a black tie. The nails on her right hand are dyed black, and her eyes are staring. Looking forward, with a white wall in the background.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_460", + "input": { + "prompt": "A picture of a mountain scenery. Some stones and rocks are in the river. The river flows through the foot of the snow-capped mountains. There are some green vegetation on both sides of the river. In the distance are rolling mountains. The peaks are covered with a thick layer of snow. The sun shines on the snow-covered mountains. On the mountain peak. The sky is blue and clouds are floating in the sky.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_382", + "input": { + "prompt": "A close-up photo of a person. The subjects are three women, all wearing makeup and hairbands. The woman in the middle is wearing a white sweater, the woman on the left is wearing a black suspender belt and a Chanel necklace around her neck, and the woman on the right is wearing a black and white sweater, with indoor roof lights behind her.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_442", + "input": { + "prompt": "A photo of an architectural landscape oil painting. The subject is the house. The streets of the mountain town in southern France have ancient and elegant buildings, and the windows on both sides are covered with French flags and garlands, making them look romantic and solemn. The sky is blue, the clouds are light, and there are many green vegetation on both sides, which looks very beautiful. The background is the houses and the blue sky.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + }, + { + "id": "pti_268", + "input": { + "prompt": "A close-up photo of a person. The subject is an old man. The old man is sitting at the table in the cafe, with his hands folded on the table. The old man is wearing a gray suit, a spotted red tie, and a hat. There is a handkerchief in the pocket of the suit. The old man looks out the window. The background is the windows and other tables, chairs and benches in the room.", + "instruction": "Please edit the image based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Low-light_Image_Enhancement/annotation.json b/Scope-A/S-A-Quick/image/generation/Low-light_Image_Enhancement/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..59f53a11b3b98c9c4a04577219a7d285bf15cd8f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Low-light_Image_Enhancement/annotation.json @@ -0,0 +1,182 @@ +{ + "set_type": "closeset", + "task": "Low light enhancement", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "Humanity", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "lle_346", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/346.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_406", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/406.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_462", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/462.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_416", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/416.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_475", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/475.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_163", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/163.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_363", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/363.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_185", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/185.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_41", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/41.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_118", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/118.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_397", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/397.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_129", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/129.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_374", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/374.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_303", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/303.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_454", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/454.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_72", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/72.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_22", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/22.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_426", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/426.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_452", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/452.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + }, + { + "id": "lle_1", + "input": { + "low_light_image": "data/image/generation/Low-light_Image_Enhancement/low/1.jpg", + "instruction": "Please enhance the low light image so that the image is brighter and clearer." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Mask-to-Image_Face_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Mask-to-Image_Face_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..550504109c8808bd783d6b399d6aa6b1828cbd78 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Mask-to-Image_Face_Generation/annotation.json @@ -0,0 +1,182 @@ +{ + "set_type": "closeset", + "task": "mask to face", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-based Image Editing", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "m2f_30", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/30.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_77", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/77.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_46", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/46.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_248", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/248.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_348", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/348.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_246", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/246.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_34", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/34.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_320", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/320.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_284", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/284.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_73", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/73.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_262", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/262.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_341", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/341.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_373", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/373.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_322", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/322.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_15", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/15.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_401", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/401.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_216", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/216.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_434", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/434.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_471", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/471.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + }, + { + "id": "m2f_356", + "input": { + "mask": "data/image/generation/Mask-to-Image_Face_Generation/mask/356.jpg", + "instruction": "Please generate a human face image according to the mask" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Multi-language-based_Image_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Multi-language-based_Image_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ee829025c74f96f7a9f8fd968f4092e71b8fb300 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Multi-language-based_Image_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "multilanguage generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "mlg_102", + "input": { + "prompt": "The first two national parks were founded in the 1930s by private organisations.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_225", + "input": { + "prompt": "This implies immediately that cf(\u03ba) \u2264 \u03ba.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_227", + "input": { + "prompt": "66-6 (2002): Introduced internal lock.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_483", + "input": { + "prompt": "\u8fd9\u5728IOC \u4e4b\u5185\u5f15\u8d77\u4e86\u4e00\u6b21\u6fc0\u70c8\u7684\u8fa9\u8bba\u3002", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_381", + "input": { + "prompt": "\u6ce2\u862d\u7684\u76df\u53cb\u5f88\u5c11\u3002", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_444", + "input": { + "prompt": "3\u670817\u65e5\u98ce\u518d\u6b21\u53d8\u5f97\u6709\u5229\u3002", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_117", + "input": { + "prompt": "And Abraham planted a grove in Beersheba, and called there on the name of the LORD, the everlasting God.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_46", + "input": { + "prompt": "The second problem is that there is 0 dB directivity leading to very poor isolation between the output ports.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_18", + "input": { + "prompt": "At least one such star, HR 107, is known.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "mlg_17", + "input": { + "prompt": "International allies use is under consideration.", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Remote_Sensing_Image_Dehazing/annotation.json b/Scope-A/S-A-Quick/image/generation/Remote_Sensing_Image_Dehazing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9286267a23dab03e6ac19851142b59859ef7bf49 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Remote_Sensing_Image_Dehazing/annotation.json @@ -0,0 +1,182 @@ +{ + "set_type": "closeset", + "task": "remote sensing image generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "rsg_490", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/490.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_98", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/98.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_237", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/237.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_168", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/168.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_5", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/5.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_486", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/486.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_221", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/221.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_34", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/34.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_446", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/446.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_164", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/164.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_312", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/312.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_165", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/165.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_247", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/247.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_448", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/448.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_176", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/176.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_496", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/496.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_481", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/481.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_475", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/475.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_413", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/413.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + }, + { + "id": "rsg_343", + "input": { + "input_image": "data/image/generation/Remote_Sensing_Image_Dehazing/input/343.png", + "instruction": "Please dehaze the remote sensing image." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Sketch-to-Image_Hair_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Sketch-to-Image_Hair_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..370843538629233759eec5308531d692acb47328 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Sketch-to-Image_Hair_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "sketch-to-hair image generation", + "data_source": "", + "type": "comprehension", + "modality": { + "in": [ + "image" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "s2h_76", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/76.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_171", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/171.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_372", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/372.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_256", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/256.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_179", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/179.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_483", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/483.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_445", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/445.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_54", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/54.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_74", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/74.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + }, + { + "id": "s2h_341", + "input": { + "source_image": "data/image/generation/Sketch-to-Image_Hair_Generation/source-images/341.jpg", + "instruction": "Please generate a hair image based on the source sketch image provided." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Sound-to-Image_Gernation/annotation.json b/Scope-A/S-A-Quick/image/generation/Sound-to-Image_Gernation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..97dd379af6003224b0f129e044d0b30d12d42d52 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Sound-to-Image_Gernation/annotation.json @@ -0,0 +1,182 @@ +{ + "set_type": "closeset", + "task": "sound to image", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "audio" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "s2i_466", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/466.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_202", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/202.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_45", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/45.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_412", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/412.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_244", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/244.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_90", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/90.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_198", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/198.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_262", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/262.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_399", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/399.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_431", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/431.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_302", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/302.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_17", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/17.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_40", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/40.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_82", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/82.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_458", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/458.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_216", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/216.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_63", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/63.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_498", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/498.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_367", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/367.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + }, + { + "id": "s2i_169", + "input": { + "audio_clip": "data/image/generation/Sound-to-Image_Gernation/audio/169.wav", + "instruction": "Please generate an image based on the sound." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-based_Astronomical_Image_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-based_Astronomical_Image_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a799a7d91db4052dc639b8ad43a0c453286ba172 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-based_Astronomical_Image_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "Astronomy generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Enhancement", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "ag_178", + "input": { + "prompt": "The Sombrero Galaxy in Infrared", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_291", + "input": { + "prompt": "A Night at Poker Flat", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_139", + "input": { + "prompt": "M43: Dust, Gas, and Stars in the Orion Nebula", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_443", + "input": { + "prompt": "Mars Panorama 360 from Curiosity", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_113", + "input": { + "prompt": "Mercury-Redstone 3 Launch", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_338", + "input": { + "prompt": "MyCn 18: The Engraved Hourglass Planetary Nebula", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_318", + "input": { + "prompt": "Central Lagoon in Infrared", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_481", + "input": { + "prompt": "Veil Nebula: Wisps of an Exploded Star", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_340", + "input": { + "prompt": "To Fly Free in Space", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + }, + { + "id": "ag_19", + "input": { + "prompt": "Planet Aurora", + "instruction": "Please generate an image based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-based_Face_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-based_Face_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..63da3528dcded44efa1dfd439f7b23ea6f7f5482 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-based_Face_Generation/annotation.json @@ -0,0 +1,192 @@ +{ + "set_type": "closeset", + "task": "text guided facial generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "In-context Image Editing", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "tg_245", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "The whole forehead is visible without any bangs.", + "Eyeglasses": "There is not any eyeglasses on her face.", + "No_Beard": null, + "Smiling": "This lady looks serious with no smile in the face.", + "Young": "She is a young adult." + }, + "overall_caption": "She shows the entire forehead without any bangs. This female is in her thirties and has no smile, and no glasses." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_333", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "This woman shows the whole forehead without any fringe.", + "Eyeglasses": "There is not any glasses on the face.", + "No_Beard": null, + "Smiling": "The full face is beamed with happiness.", + "Young": "She is in the middle age." + }, + "overall_caption": "This female has no eyeglasses, and a beaming face. This lady is in the forties and has no bangs." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_493", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "This man doesn't have any bangs and the forehead is visible.", + "Eyeglasses": "This gentleman is not wearing any eyeglasses.", + "No_Beard": "This guy doesn't have any beard at all.", + "Smiling": "This gentleman looks serious with no smile in his face.", + "Young": "This person looks extremely young." + }, + "overall_caption": "This man has no eyeglasses, no beard, and no smile. This man looks very young. This gentleman has no fringe at all and the forehead is visible." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_50", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "This female has no fringe at all.", + "Eyeglasses": "She is not wearing any eyeglasses.", + "No_Beard": null, + "Smiling": "This lady looks serious with no smile in the face.", + "Young": "This person is in the thirties." + }, + "overall_caption": "This person has no glasses, no bangs, and no smile. She is a young adult." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_197", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "She shows the full forehead without any bangs.", + "Eyeglasses": "She is not wearing any glasses.", + "No_Beard": null, + "Smiling": "This female looks serious with no smile in the face.", + "Young": "This old female is in the seventies." + }, + "overall_caption": "This person has no glasses, and no fringe. This woman looks very old. This woman looks serious with no smile in her face." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_180", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "This person doesn't have any bangs.", + "Eyeglasses": "There is not any eyeglasses on his face.", + "No_Beard": "The face is covered with mustache of medium length.", + "Smiling": "He looks serious with no smile in his face.", + "Young": "He is a young adult." + }, + "overall_caption": "This young adult has beard of medium length, no smile, and no fringe. This person is not wearing any eyeglasses." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_308", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "This person has no fringe at all.", + "Eyeglasses": "He is not wearing any glasses.", + "No_Beard": "This man doesn't have any beard.", + "Smiling": "This gentleman looks serious with no smile in the face.", + "Young": "This man is in the thirties." + }, + "overall_caption": "This gentleman looks serious with no smile in his face and has no beard at all. This guy is a young adult and has no eyeglasses. This person doesn't have any bangs and his forehead is visible." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_335", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "Her entire forehead is visible without any bangs.", + "Eyeglasses": "There is not any glasses on the face.", + "No_Beard": null, + "Smiling": "This female looks serious with no smile in her face.", + "Young": "This woman is a young adult." + }, + "overall_caption": "This lady looks serious with no smile in her face. This female is in the thirties and has no bangs. There is not any glasses on her face." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_16", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "The whole forehead is visible.", + "Eyeglasses": "This woman is not wearing any glasses.", + "No_Beard": null, + "Smiling": "She looks serious with no smile in the face.", + "Young": "This female looks very young." + }, + "overall_caption": "This person has no fringe, no glasses, and no smile. This person is a teenager." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + }, + { + "id": "tg_216", + "input": { + "prompt": { + "attribute_wise_captions": { + "Bangs": "The whole forehead is visible.", + "Eyeglasses": "This lady is not wearing any eyeglasses.", + "No_Beard": null, + "Smiling": "The entire face of this lady is beamed with happiness.", + "Young": "This woman is in the thirties." + }, + "overall_caption": "This female in the thirties has no fringe, a smile with her teeth visible, and no glasses." + }, + "instruction": "Please generate an face image based on the prompt. You may use attribute_wise_captions to generate the fine-grained face details." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-based_Image_Editing/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-based_Image_Editing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..14f46150b091ec1e858796049c2ea2c4e00bf42f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-based_Image_Editing/annotation.json @@ -0,0 +1,473 @@ +{ + "set_type": "closeset", + "task": "text guided image editing", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "In-context Image Editing", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "tge_322", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/322.jpg", + "instruction": "turn the photo into a painting", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_453", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/453.jpg", + "instruction": "make the church a mosque", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_344", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/344.jpg", + "instruction": "make it a subway train", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_164", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/164.jpg", + "instruction": "Make the sunset more colorful.", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_306", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/306.jpg", + "instruction": "change to a dryad", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_243", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/243.jpg", + "instruction": "change to a watercolor painting", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_34", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/34.jpg", + "instruction": "have it be a map", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_17", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/17.jpg", + "instruction": "make the dress orange", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_348", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/348.jpg", + "instruction": "as a stained glass window", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_167", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/167.jpg", + "instruction": "make it a movie", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_90", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/90.jpg", + "instruction": "make the organ a piano", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_495", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/495.jpg", + "instruction": "More colorful.", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_97", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/97.jpg", + "instruction": "make her wearing a mask", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_54", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/54.jpg", + "instruction": "Add a McDonald's sign", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_88", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/88.jpg", + "instruction": "make it a birthday party", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_131", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/131.jpg", + "instruction": "as a watercolor painting", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_59", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/59.jpg", + "instruction": "Make the landscapes in England", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_463", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/463.jpg", + "instruction": "make the daffodils orange", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_420", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/420.jpg", + "instruction": "Make it the jetty of a pirate ship", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_112", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/112.jpg", + "instruction": "As a painting", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_326", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/326.jpg", + "instruction": "convert the construction to a windmill", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_287", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/287.jpg", + "instruction": "turn her into a tiger.", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_208", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/208.jpg", + "instruction": "As a portrait", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_285", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/285.jpg", + "instruction": "turn into a stained glass window", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_226", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/226.jpg", + "instruction": "make it a daguerreotype", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_81", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/81.jpg", + "instruction": "make them zombies", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_139", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/139.jpg", + "instruction": "Make it a photo.", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_135", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/135.jpg", + "instruction": "make it a twilight photograph", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_403", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/403.jpg", + "instruction": "Add a skull", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_25", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/25.jpg", + "instruction": "as an illustration", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_108", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/108.jpg", + "instruction": "Make it more like a children's book", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_18", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/18.jpg", + "instruction": "have her be a poodle", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_60", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/60.jpg", + "instruction": "add a few fish in the water", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_448", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/448.jpg", + "instruction": "make them blue", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_111", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/111.jpg", + "instruction": "add a polar bear to the image", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_103", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/103.jpg", + "instruction": "make the musician a painter", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_245", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/245.jpg", + "instruction": "turn it into a watercolor", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_471", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/471.jpg", + "instruction": "change it to a beach", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_313", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/313.jpg", + "instruction": "as a tapestry", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_244", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/244.jpg", + "instruction": "turn the bike into a horse", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_115", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/115.jpg", + "instruction": "as a modernist painting", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_482", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/482.jpg", + "instruction": "Turn her into a frog", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_239", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/239.jpg", + "instruction": "change the map to a blueprint", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_330", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/330.jpg", + "instruction": "turn them into zombie children", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_265", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/265.jpg", + "instruction": "instead of the study, have the painting.", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_369", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/369.jpg", + "instruction": "make the sky more dramatic", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_329", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/329.jpg", + "instruction": "Turn the cormorants into penguins", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_349", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/349.jpg", + "instruction": "Make the morning foggy", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_357", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/357.jpg", + "instruction": "as a statue", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + }, + { + "id": "tge_83", + "input": { + "source_image": "data/image/generation/Text-based_Image_Editing/source_images/83.jpg", + "instruction": "with a pile of gold coins", + "prompt": "Please edit the image based on the instruction and the source image." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-based_Style_Transfer/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-based_Style_Transfer/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b99d3289e53f70354357ffd455516aca6147825e --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-based_Style_Transfer/annotation.json @@ -0,0 +1,293 @@ +{ + "set_type": "closeset", + "task": "style transfer", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "In-context Image Editing", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "st_431", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/431.jpg", + "style": "Fauvism", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_227", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/227.jpg", + "style": "mre-surreal-painting", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_253", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/253.jpg", + "style": "DoodleArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_511", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/511.jpg", + "style": "SimpleVectorArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_12", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/12.jpg", + "style": "artstyle-artnouveau", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_9", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/9.jpg", + "style": "artstyle-artnouveau", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_327", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/327.jpg", + "style": "Neo-Impressionism", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_223", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/223.jpg", + "style": "artstyle-constructivist", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_345", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/345.jpg", + "style": "Flat2DArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_358", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/358.jpg", + "style": "Caricature", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_274", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/274.jpg", + "style": "artstyle-cubist", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_523", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/523.jpg", + "style": "SilhouetteArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_407", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/407.jpg", + "style": "ColoredPencilArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_4", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/4.jpg", + "style": "sai-lineart", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_78", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/78.jpg", + "style": "game-retroarcade", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_401", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/401.jpg", + "style": "ColoredPencilArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_298", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/298.jpg", + "style": "InfographicDrawing", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_164", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/164.jpg", + "style": "Impressionism", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_418", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/418.jpg", + "style": "game-bubblebobble", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_90", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/90.jpg", + "style": "PopArt2", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_157", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/157.jpg", + "style": "misc-disco", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_256", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/256.jpg", + "style": "Cubism", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_144", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/144.jpg", + "style": "papercraft-papercutcollage", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_446", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/446.jpg", + "style": "artstyle-popart", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_342", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/342.jpg", + "style": "sai-origami", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_421", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/421.jpg", + "style": "game-bubblebobble", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_128", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/128.jpg", + "style": "Suprematism", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_309", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/309.jpg", + "style": "CelShadedArt", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_58", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/58.jpg", + "style": "artstyle-abstract", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + }, + { + "id": "st_300", + "input": { + "image": "data/image/generation/Text-based_Style_Transfer/source_image/300.jpg", + "style": "InfographicDrawing", + "instruction": "Please transfer the style of source image to the target style." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-to-Image_Indian_Food_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Indian_Food_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f88559de743bd5c070ba2e9c324362a6892291a2 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Indian_Food_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "Food generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Enhancement", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "fg_111", + "input": { + "prompt": "a picture of chak_hao_kheer", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_217", + "input": { + "prompt": "a picture of dum_aloo", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_483", + "input": { + "prompt": "a picture of ras_malai", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_406", + "input": { + "prompt": "a picture of naan", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_118", + "input": { + "prompt": "a picture of cham_cham", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_284", + "input": { + "prompt": "a picture of kadhi_pakoda", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_279", + "input": { + "prompt": "a picture of kadai_paneer", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_455", + "input": { + "prompt": "a picture of poornalu", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_345", + "input": { + "prompt": "a picture of litti_chokha", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + }, + { + "id": "fg_526", + "input": { + "prompt": "a picture of shrikhand", + "instruction": "Please generate an image of Indian food based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-to-Image_Insect_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Insect_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..db05188337b33ae1db6d390892c8f4f7fa9cbedb --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Insect_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "insect generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "ig_292", + "input": { + "insect type": "Bees", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_324", + "input": { + "insect type": "Grasshopper", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_134", + "input": { + "insect type": "Butterfly", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_303", + "input": { + "insect type": "Grasshopper", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_318", + "input": { + "insect type": "Grasshopper", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_429", + "input": { + "insect type": "Spider", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_348", + "input": { + "insect type": "Grasshopper", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_416", + "input": { + "insect type": "Spider", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_380", + "input": { + "insect type": "Moth", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + }, + { + "id": "ig_261", + "input": { + "insect type": "Bees", + "instruction": "Please generate an image of insect based on the insect type." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-to-Image_Microorganism_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Microorganism_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e199226abdf089cd1d72a4c5e6c78d51f2fe7ddd --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Microorganism_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "microorganism generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Enhancement", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "mg_6", + "input": { + "prompt": "a photo of Yeast", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_36", + "input": { + "prompt": "a photo of Yeast", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_47", + "input": { + "prompt": "a photo of Paramecium", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_5", + "input": { + "prompt": "a photo of Rod_bacteria", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_30", + "input": { + "prompt": "a photo of Spherical_bacteria", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_31", + "input": { + "prompt": "a photo of Yeast", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_56", + "input": { + "prompt": "a photo of Hydra", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_2", + "input": { + "prompt": "a photo of Amoeba", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_19", + "input": { + "prompt": "a photo of Euglena", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + }, + { + "id": "mg_43", + "input": { + "prompt": "a photo of Spiral_bacteria", + "instruction": "Please generate an image of microorganism based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/Text-to-Image_Sea_Animal_Generation/annotation.json b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Sea_Animal_Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0c3336e90716021b79af1449541dee41465b97f1 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/Text-to-Image_Sea_Animal_Generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "Sea animal generation", + "data_source": "", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image-to-Mask Generation", + "domain": "Medicine", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "sag_330", + "input": { + "prompt": "a picture of Penguin", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_384", + "input": { + "prompt": "a picture of Seahorse", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_3", + "input": { + "prompt": "a picture of Puffers", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_86", + "input": { + "prompt": "a picture of Crabs", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_254", + "input": { + "prompt": "a picture of Sea Urchins", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_120", + "input": { + "prompt": "a picture of Squid", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_190", + "input": { + "prompt": "a picture of Sea Rays", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_28", + "input": { + "prompt": "a picture of Octopus", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_273", + "input": { + "prompt": "a picture of Whale", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + }, + { + "id": "sag_2", + "input": { + "prompt": "a picture of Puffers", + "instruction": "Please generate an image of sea animal based on the prompt." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/deep_fake_generation/annotation.json b/Scope-A/S-A-Quick/image/generation/deep_fake_generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..361982c44aa04c6c9ef1090c84e39cb42dd5776d --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/deep_fake_generation/annotation.json @@ -0,0 +1,183 @@ +{ + "set_type": "closeset", + "task": "deep fake generation", + "data_source": "https://github.com/ziqihuangg/collaborative-diffusion", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Denoising", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "dfg0360", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/359.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This woman is in the thirties. This lady has no beard at all." + }, + "output": {} + }, + { + "id": "dfg0104", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/103.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This lady has no beard at all. This woman is a young adult." + }, + "output": {} + }, + { + "id": "dfg0241", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/240.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: He is in the thirties. This gentleman has a rough growth of stubble." + }, + "output": {} + }, + { + "id": "dfg0095", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/94.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: He doesn't have any beard. This guy looks very young." + }, + "output": {} + }, + { + "id": "dfg0144", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/143.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This female looks extremely young. This female has no beard at all." + }, + "output": {} + }, + { + "id": "dfg0233", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/232.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: There is no beard on this lady's face. She is a teen." + }, + "output": {} + }, + { + "id": "dfg0363", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/362.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This female doesn't have any beard. She is a young adult." + }, + "output": {} + }, + { + "id": "dfg0399", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/398.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: No beard. She is in her middle age." + }, + "output": {} + }, + { + "id": "dfg0473", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/472.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This female looks very young. This female doesn't have any beard." + }, + "output": {} + }, + { + "id": "dfg0379", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/378.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: There is no beard on this lady's face. This lady is a young adult." + }, + "output": {} + }, + { + "id": "dfg0400", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/399.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This guy looks extremely young. This gentleman doesn't have any beard." + }, + "output": {} + }, + { + "id": "dfg0436", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/435.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This lady has no beard at all. This lady is a young adult." + }, + "output": {} + }, + { + "id": "dfg0173", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/172.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This female has no beard at all. This woman is in her thirties." + }, + "output": {} + }, + { + "id": "dfg0223", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/222.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This female has no beard at all. This female is a young adult." + }, + "output": {} + }, + { + "id": "dfg0458", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/457.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: There is no beard This woman is in her sixties." + }, + "output": {} + }, + { + "id": "dfg0280", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/279.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: There is no beard on this female's face. She is a young adult." + }, + "output": {} + }, + { + "id": "dfg0030", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/29.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: He doesn't have any mustache. This gentleman is a teen." + }, + "output": {} + }, + { + "id": "dfg0219", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/218.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This woman looks very young. She has no beard at all." + }, + "output": {} + }, + { + "id": "dfg0164", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/163.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: This lady is in the forties. She has no beard." + }, + "output": {} + }, + { + "id": "dfg0273", + "input": { + "image_file": "./data/image/generation/deep_fake_generation/images/272.jpg", + "prompt": "Generate a deep fake image based on the provided image, incorporating the following description: He is a young adult. This person doesn't have any beard." + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/document_image_unwarping/annotation.json b/Scope-A/S-A-Quick/image/generation/document_image_unwarping/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dec1ccaf508231dfaab56ac25ea32765855cd33f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/document_image_unwarping/annotation.json @@ -0,0 +1,183 @@ +{ + "set_type": "closeset", + "task": "document image unwarping", + "data_source": "https://www3.cs.stonybrook.edu/~cvl/docunet.html", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Layout-to-Image Generation", + "domain": "Ethics", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "id0044", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/49.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0034", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/4.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0036", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/41.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0016", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/23.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0007", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/15.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0047", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/51.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0038", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/43.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0027", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/33.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0053", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/57.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0054", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/58.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0057", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/60.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0008", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/16.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0063", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/7.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0037", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/42.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0048", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/52.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0013", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/20.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0021", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/28.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0059", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/62.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0042", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/47.png", + "prompt": "Unwarp the document image" + }, + "output": {} + }, + { + "id": "id0009", + "input": { + "image_file": "./data/image/generation/document_image_unwarping/images/17.png", + "prompt": "Unwarp the document image" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/ecommerce_product_generation/annotation.json b/Scope-A/S-A-Quick/image/generation/ecommerce_product_generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..aa730c95be80b605064c279298d67d4fa635412c --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/ecommerce_product_generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "ecommerce product generation", + "data_source": "https://www.kaggle.com/datasets/vikashrajluhaniwal/fashion-images", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "epg0346", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Disney Kids Girl's Jeans Purple Teen Kidswear\"" + }, + "output": {} + }, + { + "id": "epg2412", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Rocia Women Bronze Heels\"" + }, + "output": {} + }, + { + "id": "epg2697", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Puma Women Black Grace Flats\"" + }, + "output": {} + }, + { + "id": "epg2612", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Carlton London Women Classy Gold Heels\"" + }, + "output": {} + }, + { + "id": "epg0238", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Doodle Girls White and Purple Printed Top\"" + }, + "output": {} + }, + { + "id": "epg1719", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Enroute Men Leather Tan Formal Shoes\"" + }, + "output": {} + }, + { + "id": "epg0410", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Gini Jony Girls Pink Leggings\"" + }, + "output": {} + }, + { + "id": "epg1659", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Gas Men Beach Flip Flops\"" + }, + "output": {} + }, + { + "id": "epg0010", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Gini and Jony Girls Black Dress\"" + }, + "output": {} + }, + { + "id": "epg1323", + "input": { + "image_file": "", + "prompt": "generate an E-commerce Product image according to the title \"Gini and Jony Boys Polo Green T-Shirt\"" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/edge2object/annotation.json b/Scope-A/S-A-Quick/image/generation/edge2object/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..53294556d78a0b23211b5dfa14e1764cb49cea70 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/edge2object/annotation.json @@ -0,0 +1,423 @@ +{ + "set_type": "closeset", + "task": "edge2object", + "data_source": "SketchyCOCO", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], 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from the edge" + }, + "output": {} + }, + { + "id": "e2o1165", + "input": { + "image_file": "./data/image/generation/edge2object/images/64067.png", + "prompt": "Generate the object from the edge" + }, + "output": {} + }, + { + "id": "e2o1177", + "input": { + "image_file": "./data/image/generation/edge2object/images/65241.png", + "prompt": "Generate the object from the edge" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/face2comic/annotation.json b/Scope-A/S-A-Quick/image/generation/face2comic/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dace35b11b8afe943e04d84a923937891bf8f126 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/face2comic/annotation.json @@ -0,0 +1,263 @@ +{ + "set_type": "closeset", + "task": "face2comic", + "data_source": "https://www.kaggle.com/datasets/defileroff/comic-faces-paired-synthetic", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Mask-to-Image Generation", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "f2c0434", + "input": { + "image_file": "./data/image/generation/face2comic/images/489.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0260", + "input": { + "image_file": "./data/image/generation/face2comic/images/331.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0159", + "input": { + "image_file": "./data/image/generation/face2comic/images/240.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0471", + "input": { + "image_file": "./data/image/generation/face2comic/images/72.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0453", + "input": { + "image_file": "./data/image/generation/face2comic/images/56.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0105", + "input": { + "image_file": "./data/image/generation/face2comic/images/192.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0237", + "input": { + "image_file": "./data/image/generation/face2comic/images/310.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0252", + "input": { + "image_file": "./data/image/generation/face2comic/images/324.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0409", + "input": { + "image_file": "./data/image/generation/face2comic/images/466.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0232", + "input": { + "image_file": "./data/image/generation/face2comic/images/306.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0476", + "input": { + "image_file": "./data/image/generation/face2comic/images/77.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0299", + "input": { + "image_file": "./data/image/generation/face2comic/images/367.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0228", + "input": { + "image_file": "./data/image/generation/face2comic/images/302.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0029", + "input": { + "image_file": "./data/image/generation/face2comic/images/123.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0074", + "input": { + "image_file": "./data/image/generation/face2comic/images/164.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0187", + "input": { + "image_file": "./data/image/generation/face2comic/images/266.jpg", + "prompt": 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+ { + "id": "f2c0197", + "input": { + "image_file": "./data/image/generation/face2comic/images/275.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0324", + "input": { + "image_file": "./data/image/generation/face2comic/images/39.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + }, + { + "id": "f2c0465", + "input": { + "image_file": "./data/image/generation/face2comic/images/67.jpg", + "prompt": "Convert the face to comic style" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/face_inpainting/annotation.json b/Scope-A/S-A-Quick/image/generation/face_inpainting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..98adc065540e025c41e2a529c40eea04972ebd34 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/face_inpainting/annotation.json @@ -0,0 +1,423 @@ +{ + "set_type": "closeset", + "task": "face inpainting", + "data_source": "CelebaHQ-256", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "fi0395", + "input": { + "image_file": "./data/image/generation/face_inpainting/images/00494.jpg", + "prompt": "Inpaint the face in the image" + }, + "output": {} + }, + { + "id": "fi0366", + "input": { + "image_file": "./data/image/generation/face_inpainting/images/00465.jpg", + "prompt": "Inpaint the face in the image" + }, + "output": {} + }, + { + "id": "fi0037", + "input": { + "image_file": "./data/image/generation/face_inpainting/images/00136.jpg", + "prompt": "Inpaint the face in the image" + }, + "output": {} + }, + { + "id": "fi0354", + "input": { + "image_file": "./data/image/generation/face_inpainting/images/00453.jpg", + "prompt": "Inpaint the face in the image" + }, + "output": {} + 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"id": "l2f0245", + "input": { + "image_file": "./data/image/generation/layout2face/images/020900.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0269", + "input": { + "image_file": "./data/image/generation/layout2face/images/022454.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0001", + "input": { + "image_file": "./data/image/generation/layout2face/images/000025.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0273", + "input": { + "image_file": "./data/image/generation/layout2face/images/022493.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0163", + "input": { + "image_file": "./data/image/generation/layout2face/images/014318.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0094", + "input": { + "image_file": "./data/image/generation/layout2face/images/008252.png", + "prompt": "Generate face 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"./data/image/generation/layout2face/images/011049.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0455", + "input": { + "image_file": "./data/image/generation/layout2face/images/035895.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0383", + "input": { + "image_file": "./data/image/generation/layout2face/images/029908.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0466", + "input": { + "image_file": "./data/image/generation/layout2face/images/037516.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0117", + "input": { + "image_file": "./data/image/generation/layout2face/images/010569.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0009", + "input": { + "image_file": "./data/image/generation/layout2face/images/000752.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0275", + "input": { + "image_file": "./data/image/generation/layout2face/images/022656.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0402", + "input": { + "image_file": "./data/image/generation/layout2face/images/031213.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0031", + "input": { + "image_file": "./data/image/generation/layout2face/images/002587.png", + "prompt": "Generate face from layout" + }, + "output": {} + }, + { + "id": "l2f0416", + "input": { + "image_file": "./data/image/generation/layout2face/images/032333.png", + "prompt": "Generate face from layout" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/sketch2background/annotation.json b/Scope-A/S-A-Quick/image/generation/sketch2background/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0fe1f371fda4fe97fac316c731d4c6fc7941a53f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/sketch2background/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "sketch2background", + "data_source": "SketchyCOCO", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "Humanities", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "s2b0760", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20024527.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0541", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20018008.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0937", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20030237.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0687", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20022409.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0548", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20018126.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0536", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20017647.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0816", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20026274.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0879", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20028488.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0235", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20008494.png", + "prompt": "Generate background from sketch" + }, + "output": {} + }, + { + "id": "s2b0334", + "input": { + "image_file": "./data/image/generation/sketch2background/images/20011129.png", + "prompt": "Generate background from sketch" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/sketch2face/annotation.json b/Scope-A/S-A-Quick/image/generation/sketch2face/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2bf394248cde4d7f0d6b74f6c17f00200afb7ff9 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/sketch2face/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "sketch2face", + "data_source": "https://www.kaggle.com/datasets/yewtsing/pretty-face", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "Biology", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "s2f0145", + "input": { + "image_file": "./data/image/generation/sketch2face/images/001658_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0068", + "input": { + "image_file": "./data/image/generation/sketch2face/images/000776_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0268", + "input": { + "image_file": "./data/image/generation/sketch2face/images/003046_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0179", + "input": { + "image_file": "./data/image/generation/sketch2face/images/002095_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0493", + "input": { + "image_file": "./data/image/generation/sketch2face/images/005829_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0126", + "input": { + "image_file": "./data/image/generation/sketch2face/images/001405_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0233", + "input": { + "image_file": "./data/image/generation/sketch2face/images/002663_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0471", + "input": { + "image_file": "./data/image/generation/sketch2face/images/005539_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0008", + "input": { + "image_file": "./data/image/generation/sketch2face/images/000086_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + }, + { + "id": "s2f0485", + "input": { + "image_file": "./data/image/generation/sketch2face/images/005773_edges.jpg", + "prompt": "Generate face from sketch" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/sketch2scene/annotation.json b/Scope-A/S-A-Quick/image/generation/sketch2scene/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a1deefcff7b5ccf96371c4849e6045c3a4856c71 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/sketch2scene/annotation.json @@ -0,0 +1,103 @@ +{ + "set_type": "closeset", + "task": "sketch2scene", + "data_source": "SketchyCOCO", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "Biology", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "s2s0445", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000478286.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0455", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000491683.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0283", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000311295.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0311", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000344611.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0539", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000579893.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0043", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000052017.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0263", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000294163.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0353", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000394611.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0440", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000474164.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + }, + { + "id": "s2s0102", + "input": { + "image_file": "./data/image/generation/sketch2scene/images/000000129054.png", + "prompt": "Generate scene from sketch" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/terrestrial_animal_generation/annotation.json b/Scope-A/S-A-Quick/image/generation/terrestrial_animal_generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dd40a310d716058d5b22cfbff1a0601bb9060e2f --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/terrestrial_animal_generation/annotation.json @@ -0,0 +1,102 @@ +{ + "set_type": "closeset", + "task": "terrestrial animal generation", + "data_source": "https://www.kaggle.com/datasets/likhon148/animal-data", + "type": "generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Text-to-Image Generation", + "domain": "Biology, Animal", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "tag_1415", + "input": { + "image_file": "", + "prompt": "Generate an image of Horse" + }, + "output": {} + }, + { + "id": "tag_0102", + "input": { + "image_file": "", + "prompt": "Generate an image of Cat" + }, + "output": {} + }, + { + "id": "tag_0493", + "input": { + "image_file": "", + "prompt": "Generate an image of Giraffe" + }, + "output": {} + }, + { + "id": "tag_1126", + "input": { + "image_file": "", + "prompt": "Generate an image of Bird" + }, + "output": {} + }, + { + "id": "tag_1106", + "input": { + "image_file": "", + "prompt": "Generate an image of Bird" + }, + "output": {} + }, + { + "id": "tag_1539", + "input": { + "image_file": "", + "prompt": "Generate an image of Cow" + }, + "output": {} + }, + { + "id": "tag_0598", + "input": { + "image_file": "", + "prompt": "Generate an image of Bear" + }, + "output": {} + }, + { + "id": "tag_1040", + "input": { + "image_file": "", + "prompt": "Generate an image of Bird" + }, + "output": {} + }, + { + "id": "tag_0967", + "input": { + "image_file": "", + "prompt": "Generate an image of Tiger" + }, + "output": {} + }, + { + "id": "tag_1035", + "input": { + "image_file": "", + "prompt": "Generate an image of Bird" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/image/generation/underwater_image_restoration/annotation.json b/Scope-A/S-A-Quick/image/generation/underwater_image_restoration/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..eec08e4fc8a8f6345c8e2e8ffe67e8067b62da39 --- /dev/null +++ b/Scope-A/S-A-Quick/image/generation/underwater_image_restoration/annotation.json @@ -0,0 +1,183 @@ +{ + "set_type": "closeset", + "task": "underwater image restoration", + "data_source": "https://github.com/LintaoPeng/U-shape_Transformer_for_Underwater_Image_Enhancement", + "type": "generation", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "image" + ] + }, + "version": "1.0", + "skill": "Image Enhancement", + "domain": "General-domain", + "general_capability": [ + "Creativity and Innovation" + ], + "data": [ + { + "id": "iur0131", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/216.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0319", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/386.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0293", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/362.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0397", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/458.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0134", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/219.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0467", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/69.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0495", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/94.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0330", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/396.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0419", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/478.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0399", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/46.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0392", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/453.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0051", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/143.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0106", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/194.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0339", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/404.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0061", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/152.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0113", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/20.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0223", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/3.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0034", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/128.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0351", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/416.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + }, + { + "id": "iur0461", + "input": { + "image_file": "./data/image/generation/underwater_image_restoration/images/63.jpg", + "prompt": "Enhance the underwater image" + }, + "output": {} + } + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Abstract-Meaning-Representation/annotation.json b/Scope-A/S-A-Quick/nlp/Abstract-Meaning-Representation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6e0bafb4664838a2d4d2278ae174302cd321f5f8 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Abstract-Meaning-Representation/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "amr_relation_mcq", + "data_source": "amr", + "type": "multiple choice", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0377", + "input": { + "raw_text": "In the Northeast, Japanese Unit 731 cruelly conducted human body experiments on living people of China, Korea and other countries, the method of which were extremely brutal; the Nanjing Massacre added a layer of blood to the ancient capital which will never fade away; the big bloody battles at Hengyang and Changsha laid bare the bones of the dead over a thousand kilometers and killed off everything ...", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> exchange (snt3)\nB. multi-sentence -> body (mod)\nC. multi-sentence -> public (ARG0)\nD. multi-sentence -> Delmas (name)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0387", + "input": { + "raw_text": "The prize money of the competition this time is 100,000 US dollars , the team that wins will get 70,000 US dollars , while the team that loses will get 30,000 US dollars .", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> answer (location)\nB. multi-sentence -> want (ARG2)\nC. multi-sentence -> thing (consist-of)\nD. multi-sentence -> name (name)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0324", + "input": { + "raw_text": "My fellow citizens, Japan's militarism has brought the people of Asia grave disasters.", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. say -> lot (ARG1)\nB. say -> 5000 (ARG0)\nC. say -> continent (mod)\nD. say -> order (ARG1)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0323", + "input": { + "raw_text": "After the competition , the chief coach of the Chinese diving team said to our agency 's reporter : \" Sheng Chen is a little nervous today . \"", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. say -> i (ARG1)\nB. say -> Proliferation (quant)\nC. say -> person (ARG2)\nD. say -> police (ARG1-of)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0298", + "input": { + "raw_text": "My fellow citizens, ours is ours, what need is there to negotiate! Japan thus goes even further - wants to create a fact of occupation. Can we allow this? No - absolutely not!", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> Riduan_Isamuddin (name)\nB. multi-sentence -> South_Africa (ARG0)\nC. multi-sentence -> - (ARG1)\nD. multi-sentence -> even (degree)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0174", + "input": { + "raw_text": "I very much wish I had been born in those passionate and upsurging times of Mao Zedong, the Long March, losing my head and shedding my blood, completely extinguishing all the enemies that wrong China, spreading our dragon prestige!", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. wish -> have-degree (ARG0)\nB. wish -> name (name)\nC. wish -> m3956 (mod)\nD. wish -> Paris (op1)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0272", + "input": { + "raw_text": "I can not resist anymore, all my ressource are finish, at nway in croix-des-bouquets areas, we never recieved help from any one, we used to see things goes in other parts.", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> thing (ARG1)\nB. multi-sentence -> II (ARG1-of)\nC. multi-sentence -> pretty (mod)\nD. multi-sentence -> Tom_Casey_diplomat (ARG0)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0157", + "input": { + "raw_text": "I very much wish I had been born in those passionate and upsurging times of Mao Zedong, the Long March, losing my head and shedding my blood, completely extinguishing all the enemies that wrong China, spreading our dragon prestige!", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. wish -> person (op1)\nB. wish -> deny (op1)\nC. wish -> Japan (op3)\nD. wish -> Zedong (op2)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0043", + "input": { + "raw_text": "Fleets bumping fishing boats. Little evil Japanese ghosts stirring up trouble and unrest. With hearts of thieves and arrogant form, they again show their wolfish appearance", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> appearance (ARG1)\nB. multi-sentence -> Georgia_country (wiki)\nC. multi-sentence -> net (op1)\nD. multi-sentence -> Israel (wiki)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0477", + "input": { + "raw_text": "All the people who experienced that era must still remember it vividly; even our younger generations also will cry with tears streaming down our cheeks, and our blood boils with indignation, whenever we turn to this page of history and read!", + "prompt": "Given the sentence above, which of the following AMR relations is correct?\nIn the format \"predicate -> target (relation)\", where predicate is the governor and target depends on it.\n\nA. multi-sentence -> i (mod)\nB. multi-sentence -> remember (ARG1)\nC. multi-sentence -> local (wiki)\nD. multi-sentence -> country (polarity)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Abstractive-Summarization/annotation.json b/Scope-A/S-A-Quick/nlp/Abstractive-Summarization/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b45d093e470643258b7c38c59419f810448772d2 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Abstractive-Summarization/annotation.json @@ -0,0 +1,86 @@ +{ + "task": "Abstractive Summarization", + "type": "Summarization", + "version": "1.0", + "data": [ + { + "id": "AS343", + "document": "The Great Britain squad for the World Para-Athletics Championships, set to take place at London Stadium from 14-23 July, consists of 49 athletes, including 10 gold medalists from the 2016 Rio Paralympics. Two-time Paralympic champion Jonnie Peacock, 24, who missed the 2015 World Championships due to injury, will aim to reclaim the 100m title he won in 2013. In 2015, Britain won 31 medals, including 13 golds, at the World Championships in Doha, placing fourth overall. The upcoming event in London will be the first time the World Para-Athletics Championships is held in the same city as the World Athletics Championships, which will take place from 4-13 August. Six-time world champion David Weir will not participate, following a dispute with coach Jenni Banks, while two-time Paralympic gold medalist Libby Clegg will miss the event due to injury. Kadeena Cox, 26, who has multiple sclerosis, won golds in both track cycling and athletics in Rio, but has focused her training on athletics this year in preparation for defending her T37 100m title. Hannah Cockroft, 24, is set to defend her world golds in the T34 100m, 400m, and 800m, titles she successfully retained in Rio. Richard Whitehead, 40, will look to secure his fourth consecutive T42 200m world title. Jo Butterfield will defend her F51 club throw titles, while Aled Davies will aim to retain his F42 shot put title. T38 sprinter Sophie Hahn, just 20, could claim her third individual 100m world title. The squad also includes Welsh athletes Hollie Arnold and Aled Sion Davies.", + "output": { + "summary": "" + } + }, + { + "id": "AS285", + "document": "Lagavulin is releasing a special single cask edition of its single malt whisky, limited to just 522 bottles, with all proceeds going to local community projects. Each bottle, priced at \u00a31,494, will contribute \u00a3310,000 to Islay Heritage, supporting efforts to preserve and share the island's archaeological history. Additionally, \u00a360,000 will be donated to the Finlaggan Trust, which maintains the historic site of the Lord of the Isles. The Lagavulin 200 Legacy project aims to further support local initiatives, including a new partnership with the RSPB to restore peatlands, and contributions to the local swimming pool, cyber cafe, and arts organizations. Nick Morgan from Lagavulin's parent company, Diageo, explained that the distillery's celebration of its 200th anniversary was a chance to give back to the Islay community, which has always been at the heart of Lagavulin's identity. The proceeds will not only aid Islay's heritage but also help promote the cultural history of Scotland. The limited-edition bottles can only be purchased through an online raffle, with the first bottle to be auctioned off for further charitable efforts. One bottle will be donated to the Diageo Archive and The Whisky Exchange. Steven Mithen, an archaeologist and trustee of Islay Heritage, expressed gratitude for Lagavulin's support, which will help uncover more about Islay's rich history. He emphasized that while some of the island's monuments are well-known, many others remain hidden, and this investment will bring greater knowledge to the island and its people.", + "output": { + "summary": "" + } + }, + { + "id": "AS258", + "document": "The world changed on 6 August 1945, The devastating effects of the first atomic bomb, and the subsequent attack on Nagasaki, played a significant role in shaping efforts to prevent the use of more destructive weapons developed later, At that time, the US was the sole nation possessing nuclear weapons, Since then, nuclear weapons have spread to other nations, beginning with Russia, Britain, France, and China, followed by Israel, India, Pakistan, and North Korea, The major powers appeared either unable or unwilling to stop this spread, except perhaps now in the case of Iran, International talks in Vienna, aimed at resolving tensions over Iran's nuclear programme, have yielded conflicting signals, with some hinting at both breakdowns and potential breakthroughs, The importance of stopping Iran from acquiring nuclear weapons lies in the possibility of it disrupting the regional balance of power, Sir John Sawers, former chief British negotiator with Iran, said that if Iran were to acquire nuclear capabilities, it would alter the dynamics across the Middle East, making Iran untouchable in response to its actions in the region, A successful agreement would reassure global powers that Iran will not pursue nuclear weapons and potentially allow for greater cooperation between Iran and its Arab neighbors, transforming Middle Eastern relations, The memory of the events in 1945 and Iran's 1979 revolution continue to shape the tense relations between Tehran and Washington, with the 1979 overthrow of the Shah marking a loss of US influence in Iran, which later inherited a nuclear programme, Despite Iran's consistent denial of any intent to create nuclear weapons, the international community has always been suspicious due to their actions and the secrecy surrounding their programme, After years of negotiations and pressure, a deal with Iran could finally be within reach, Ariane Tabatabai, of Georgetown University, noted that the ultimate goal of the negotiations is to ensure that Iran's nuclear programme remains peaceful, which would require transparency and scaling back certain activities, A key question remains whether Iran's leadership is willing to make the necessary compromises, The desire for global respect and pride in their indigenous nuclear industry could motivate Iran to make a deal, However, experts like Prof Ali Ansari remain uncertain about the success and longevity of such an agreement, Sir John Sawers expressed doubt, saying that even if a deal is struck, negotiations could continue indefinitely, as the Iranian approach often involves demanding further concessions even after agreements are made, The real challenge will be building and maintaining trust between Iran and the world's major powers, especially the US.", + "output": { + "summary": "" + } + }, + { + "id": "AS480", + "document": "Media playback is not supported on this device, The 28-year-old Scot defeated world number 87 Taro Daniel 6-1, 6-3, 6-1 in his first match since becoming a father last month., World number six Kei Nishikori leveled the tie with a 6-3, 7-5, 7-6 (7-3) victory over Dan Evans in Birmingham., A win in this best-of-five first-round tie will secure a quarter-final spot and World Group status for 2017., Dom Inglot and Jamie Murray are set to face Yoshihito Nishioka and Yasutaka Uchiyama in Saturday's doubles match, although the line-up can be changed up to an hour before the 14:00 GMT start., GB captain Leon Smith told BBC Sport: \"We'll wait and see, hopefully we will have our strongest team.\", Britain are defending the Davis Cup title they won for the first time in 79 years last November against Belgium., Murray called the reception he received after his quick victory against Daniel \"amazing.\", Though Murray showed signs of rust with four double faults and 25 unforced errors, he broke Daniel's serve six times and saved the only two break points he faced., Murray, 28, took the first set in 28 minutes and seized the second after Daniel's double fault at 3-3., Two excellent returns gave Murray the decisive break early in the third set, and he clinched his 28th Davis Cup singles win in style., \"The last few weeks have been the best of my life,\" Murray said of becoming a father to Sophia., \"It's been tough being away from her for the first time, but it's a pleasure to represent my country and be with teammates we won with last year.\", Evans, from Solihull, had the crowd's support and confidence from a previous win over Nishikori, but the Japanese player proved too strong., It's been over three years since Evans stunned Nishikori at the US Open, and since then, Nishikori has become a consistent top player., Evans, 25, exceeded expectations, but he couldn't convert enough break points, winning only four out of 13., After failing to capitalize on a 0-40 lead in the second set, Evans eventually lost in a tie-break after 2 hours and 44 minutes., Nishikori, though vulnerable on his serve, powered through the final set to clinch the win., Andy Murray made a smooth return to action, while Kei Nishikori had to absorb heavy pressure from Dan Evans to level the tie., Who will play on Saturday? Murray expressed a willingness to participate if it benefits the team, provided he feels physically ready., As for Nishikori, he could likely play, despite only two Davis Cup doubles appearances for Japan., \"Nishikori was shaky for a while, but in the end, his class won out,\" said Murray., Friday: Andy Murray defeats Taro Daniel 6-1, 6-3, 6-1., Kei Nishikori defeats Dan Evans 6-3, 7-5, 7-6 (7-3)., Saturday doubles: Dominic Inglot & Jamie Murray vs Yoshihito Nishioka & Yasutaka Uchiyama., Sunday: Andy Murray vs Kei Nishikori, Dan Evans vs Taro Daniel., Listen to the State of the British Game special on 5 live sport.", + "output": { + "summary": "" + } + }, + { + "id": "AS458", + "document": "Lewis Hamilton was the fastest among the Mercedes drivers, despite making mistakes on the final lap during a weekend where penalties will place him at the back of the grid. Teammate Nico Rosberg was 0.107 seconds slower. Red Bull's Daniel Ricciardo was second, followed by Sebastian Vettel. The Mercedes cars have not displayed their full potential during an unusual weekend marked by Hamilton's engine penalties, amounting to 55 grid positions due to three engine changes. The weather, unexpectedly hot with temperatures in the low 30s, has affected tire performance. The teams have more flexibility in tire choices this year, but the super-soft tire was not expected at Spa-Francorchamps due to the track's challenging corners. Ferrari chose seven sets of super-soft tires, while Mercedes opted for a more balanced selection of tire types. The teams had to adapt their strategies due to limited tire resources. Despite his penalties, Hamilton is still expected to perform well in the race. Rosberg, while slower, is likely to secure pole position. Verstappen faced a gearbox issue, limiting his running. Several other drivers, including Alonso and Ericsson, also face engine penalties. In summary, despite a difficult session, Mercedes will aim to make the most of the race with Hamilton starting from the back.", + "output": { + "summary": "" + } + }, + { + "id": "AS226", + "document": "Paul Mason, from Ipswich, used to weigh 70 stone (440kg) but has lost over 40 stone (254kg) with the aid of gastric band surgery, He hopes the procedures he plans in New York will help him lose an additional seven stone (44kg), however, his visa application was delayed due to a prior criminal conviction, Mason still needs to raise approximately \u00a37,000 to cover the surgery-related costs, He had visited the US in December for a consultation with Dr. Jennifer Capla, who offered to perform the excess skin removal surgery for free after learning that the NHS could not provide the operation as quickly as Mason had hoped, However, his plans for a quick return were postponed when his visa was delayed by Homeland Security in March, due to a fraud conviction from 1986, Mason has now been granted his visa and was scheduled for surgery on 20 October, but this has been delayed as he needs to raise $12,000 (about \u00a37,400) for post-surgery costs, including accommodation and medication, Mason is set to fly out later this week, During his last visit to the US, he appeared on *The View* TV show, where he accepted a marriage proposal from his girlfriend, Rebecca Mountain, who lives in Massachusetts.", + "output": { + "summary": "" + } + }, + { + "id": "AS490", + "document": "The World Anti-Doping Agency (Wada) made new allegations just two days before Russia finds out if its athletes will be allowed to participate in the 2016 Rio Olympics, Russia had been banned from international competition after Wada accused the country of state-sponsored doping, The Athletics governing body was scheduled to meet on Friday to decide whether the ban should be lifted, Wada's report highlights multiple instances where athletes from various sports allegedly tried to avoid testing or deceive doping control officers (DCOs), One athlete was seen fleeing from the mixed zone after an event, while another left the stadium during a race and could not be found, Wada also pointed to the case of an athlete who allegedly used a container, possibly containing clean urine, inserted inside her body, When she attempted to use it, the container leaked, She is also accused of trying to bribe the DCO before submitting a sample that later tested positive, The report reveals that in some cases, doping tests were not carried out at key events, and in others, testers were not informed of the locations of the competitions, Dick Pound, former president of Wada, commented on the lack of cooperation, pointing out that many times there was no support for testing, In November, the International Association of Athletics Federations (IAAF) voted to suspend Russia's athletics federation following an independent Wada report accusing the country of state-sponsored doping, The report, commissioned after a 2014 documentary by German broadcaster ARD, claimed widespread doping in Russian athletics, The whistleblowers included Vitaly Stepanov, a former anti-doping official, and his wife, Yulia, a banned former 800m runner, Russian athletes, including former London Marathon champion Liliya Shobukhova, also confessed to doping and exposing corruption, The Wada report found evidence of state involvement and that samples had been destroyed, doping controls had been manipulated, and bribes were paid to conceal positive results, The IAAF was set to meet in Vienna to discuss Russia's progress in addressing the doping issue and whether its athletes should be allowed to compete in Rio, Russian sports minister Vitaly Mutko threatened legal action if the country's athletics federation was not reinstated, He stated that the decision would be a significant message, and whether Russia is allowed to compete or not will impact the future of sport in the country, Former Wada president Pound agreed that a ban on Russian athletes would be hard for the government to justify to the public, Russian Olympic medalists and world champions have appealed to the International Olympic Committee to allow athletes with no history of doping to participate in Rio, claiming that innocent athletes should not suffer because of the actions of others.", + "output": { + "summary": "" + } + }, + { + "id": "AS361", + "document": "Matthew Daley, 35, killed Donald Lock on the A24 near Worthing, Findon, last July after the 79-year-old drove into the back of his vehicle. Daley admitted to fatally stabbing Mr Lock, citing diminished responsibility. The court at Lewes Crown heard that Daley had long suffered from mental health issues. The judge, Mr Justice Singh, decided to adjourn the case for sentencing on July 8. Mr Lock's family stated that the manslaughter verdict closed the most harrowing 10 months of their lives and provided a measure of justice for their father. However, they blamed the NHS for his death. In their statement, they mentioned that the verdict gave the Daley family what they had desired for years, with their son in a secure environment receiving the proper treatment, while they, in contrast, could only hold on to cherished memories of their father. During the trial, jurors were informed that Daley's mother had urgently requested that mental health professionals have her son committed. She told the court that the day she learned of Mr Lock's death was like having all her worst fears come true. Daley had been charged with murder but had not denied the act of killing Mr Lock. He confessed to using a knife to fatally stab Mr Lock during a police interview. While awaiting trial in prison, Daley wrote a letter to the BBC describing the events of July 16, which was intercepted and used as evidence. The elderly Mr Lock, a great-grandfather who had just recovered from prostate cancer, was returning home from a cycling meeting when his car collided with Daley's Ford Fusion. Mr Lock and his wife Maureen had recently marked 55 years of marriage and had two children. Colm Donaghy, the CEO of Sussex Partnership NHS Foundation Trust, acknowledged the failure in care and expressed his unreserved apology to Mr Lock's family. He admitted that Daley's diagnosis and treatment should have been reviewed more closely and that the family's concerns should have been given more attention. He clarified that while the staff acted with no intention of causing harm, the care provided was not adequate. Sussex Police's Detective Chief Inspector Paul Rymarz described Mr Lock's death as a tragic event that had profoundly affected both families.", + "output": { + "summary": "" + } + }, + { + "id": "AS450", + "document": "Sam Allardyce took over as Sunderland manager in October when the club was still without a win in their first eight matches, but under his leadership, they secured survival by finishing 17th in the Premier League. 'I don't want to go through that again,' he said in an interview with BBC Newcastle. Allardyce described Sunderland's survival as a 'miraculous achievement,' but emphasized the need for the club to learn from their difficult season. The manager was keen to avoid repeating the struggles of the past campaign. 'This season has been tough, and I don't want to experience that again. The turnaround has been incredibly satisfying, but we must ensure we don't end up in this situation again,' he remarked. Sunderland ended the season with just one loss in their last 11 games, remaining unbeaten in their final six matches. Allardyce planned to meet with club owner Ellis Short soon to discuss summer signings, describing the upcoming meeting as 'one of great importance.' 'We'll take a couple of days off, then sit down and assess the situation,' Allardyce said. 'The outlook looks positive, but we need to talk before making any decisions.'", + "output": { + "summary": "" + } + }, + { + "id": "AS281", + "document": "John Johnston, aged 27, admitted to driving a vehicle without permission and being over the legal alcohol limit. He was caught on CCTV committing the offence and was subsequently stopped by police on Buccleuch Street. At Dumfries Sheriff Court, he was ordered to complete 100 hours of unpaid work and given a driving ban. Johnston, who had recently moved from Belfast to Dumfries, took the vehicle in September while staying in homeless accommodation. He used the vehicle to drive across town after a night out drinking with a friend, claiming he was simply trying to find his way home.", + "output": { + "summary": "" + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Adverse-Drug-Reaction-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Adverse-Drug-Reaction-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..cb5a8b8630a12df090d81c1407c2fc984f8b5ad0 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Adverse-Drug-Reaction-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "adverse_drug_reaction_detection", + "data_source": "adev2", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "label" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0418", + "input": { + "raw_text": "Pathogenesis of methotrexate-induced papular eruption in psoriasis may involve immune mechanisms other than those of methotrexate-induced cutaneous vasculitis in collagen vascular disease.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0281", + "input": { + "raw_text": "MEASUREMENTS AND MAIN RESULTS: A patient recovering from acute respiratory distress syndrome developed septic shock from Pseudomonas aeruginosa bacteremia while in the medical intensive care unit.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0192", + "input": { + "raw_text": "The average time of presentation was 17 days after LASIK (range, 7-34).", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0380", + "input": { + "raw_text": "In followup, 18 patients reported limb dysfunction ranging from 5-365 days.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0167", + "input": { + "raw_text": "We describe a 64-year-old man with diabetes, chronic kidney disease, and anemia who was treated consecutively with epoetin alfa and darbepoetin alfa and experienced a temporal reduction in A1C level to a nadir of 4.4%.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0211", + "input": { + "raw_text": "Report of four cases.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0077", + "input": { + "raw_text": "Although some of these agents can improve cardiovascular disease risk in patients with diabetes, others may increase the risk and may be prohibited from use in certain populations.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0335", + "input": { + "raw_text": "We here report on 3 patients with essential tremor, otherwise unresponsive to pharmacological treatment, who greatly benefited from low doses of topiramate (50 mg/d).", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0443", + "input": { + "raw_text": "OBJECTIVE: To report a case of serotonin syndrome associated with interaction between fentanyl and citalopram, as evidenced by medication history, clinical features and reversal following discontinuation of fentanyl.", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + }, + { + "id": "0347", + "input": { + "raw_text": "Serum aluminum levels were significantly (P less than 0.001) higher in these 3 infants and in 1 other, all of whom received more than 100 mg of elemental aluminum per kilogram of body weight per day (mean +/- S.D., 371.0 +/- 178.9 ng per milliliter [13.75 +/- 6.6 mumol per liter] ) than they were in 8 older children with azotemia who were not undergoing dialysis and who received less than 100 mg of elemental aluminum per kilogram per day (27.0 +/- 18.6 ng per milliliter [1.0 +/- 0.68 mumol per liter] ), 7 such children who did not receive aluminum hydroxide (20.28 +/- 9.2 ng per milliliter [0.75 +/- 0.34 mumol per liter] ), and 16 children with normal renal function (21.04 +/- 4.9 ng per milliliter [0.78 +/- 0.18 mumol per liter] ).", + "prompt": "<<>>. Determine if this text describes an adverse drug reaction (ADR). Output 'Yes' if it describes an ADR, or 'No' if it does not. Please provide only the label." + }, + "output": { + "label": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Analogical-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Analogical-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6772209d2e18fff1476c10591a8424ade0d8fa4e --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Analogical-Reasoning/annotation.json @@ -0,0 +1,471 @@ +{ + "task": "analogical reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "ar371", + "input": { + "question": "Bird is to Wings as Fish is to what?", + "options": [ + "Tail", + "Fins", + "Scales", + "Gills" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar250", + "input": { + "question": "Spade is to Garden as Hammer is to what?", + "options": [ + "Tools", + "Wood", + "Metal", + "Construction" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar118", + "input": { + "question": "Complete the analogy: book : read :: music : ?", + "options": [ + "listen", + "play", + "compose", + "record" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar013", + "input": { + "question": "Mountain is to Valley as Peak is to what?", + "options": [ + "Low", + "Hill", + "Base", + "Canyon" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar037", + "input": { + "question": "Firefighter is to Fire as Lifeguard is to what?", + "options": [ + "Beach", + "Drowning", + "Water", + "Ocean" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar313", + "input": { + "question": "Complete the analogy: Pony : horse :: Poorly : ?", + "options": [ + "afflicted", + "healthy", + "happy", + "strong" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar240", + "input": { + "question": "Camera is to Picture as Pen is to what?", + "options": [ + "Page", + "Drawing", + "Letter", + "Word" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar042", + "input": { + "question": "Tea is to Cup as Juice is to what?", + "options": [ + "Pitcher", + "Bottle", + "Mug", + "Glass" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar298", + "input": { + "question": "Complete the analogy: Boring : tedious :: Cat : ?", + "options": [ + "lion", + "dog", + "bird", + "fish" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar208", + "input": { + "question": "Complete the analogy: Ice : water/oxygen/hydrogen/water/h2o/atomic_number_1/atomic_number_8/h/o :: Icicle : ?", + "options": [ + "ice/water", + "wood", + "stone", + "metal", + "plastic" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar486", + "input": { + "question": "Complete the analogy: Emerald : green :: Fridge : ?", + "options": [ + "white", + "silver", + "black" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar126", + "input": { + "question": "Complete the analogy: parent : child :: teacher : ?", + "options": [ + "student", + "pupil", + "mentor", + "tutor" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar420", + "input": { + "question": "Complete the analogy: Fat : thin :: Full : ?", + "options": [ + "empty", + "stripped", + "blank", + "vacant" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar075", + "input": { + "question": "Wheat is to Bread as Rice is to what?", + "options": [ + "Rice Cakes", + "Rice Pudding", + "Cereal", + "Pasta" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar163", + "input": { + "question": "Hammer is to Wood as Chisel is to what?", + "options": [ + "Stone", + "Clay", + "Plastic", + "Metal" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar403", + "input": { + "question": "Scissors is to Cut as Ruler is to what?", + "options": [ + "Measure", + "Mark", + "Draw", + "Design" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar396", + "input": { + "question": "Rain is to Cloud as Sun is to what?", + "options": [ + "Sunshine", + "Solar", + "Heat", + "Sky" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar084", + "input": { + "question": "Wind is to Air as Light is to what?", + "options": [ + "Brightness", + "Wave", + "Energy", + "Sun" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar439", + "input": { + "question": "Flute is to Wind as Piano is to what?", + "options": [ + "Keys", + "Strings", + "Percussion", + "Hammers" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar007", + "input": { + "question": "Piano is to Music as Brush is to what?", + "options": [ + "Sketch", + "Paint", + "Painting", + "Canvas", + "Art", + "Color", + "Design", + "Drawing", + "Sketching" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar116", + "input": { + "question": "Complete the analogy: hot : cold :: fast : ?", + "options": [ + "slow", + "quick", + "steady", + "instant" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar440", + "input": { + "question": "Chalk is to Board as Ink is to what?", + "options": [ + "Paper", + "Pen", + "Quill", + "Printer" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar400", + "input": { + "question": "Bread is to Bakery as Cake is to what?", + "options": [ + "Bakery", + "Patisserie", + "Dessert", + "Pastry" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar157", + "input": { + "question": "Librarian is to Book as Curator is to what?", + "options": [ + "Museum", + "Art", + "Collection", + "Exhibit" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar261", + "input": { + "question": "Singer is to Song as Dancer is to what?", + "options": [ + "Dance", + "Movement", + "Step", + "Routine" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar404", + "input": { + "question": "Eye is to Vision as Ear is to what?", + "options": [ + "Hearing", + "Noise", + "Sound", + "Speech" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar454", + "input": { + "question": "Measuring Cup is to Water as Spoon is to what?", + "options": [ + "Sugar", + "Spice", + "Salt", + "Food" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar386", + "input": { + "question": "Bee is to Pollination as Tree is to what?", + "options": [ + "Shade", + "Wood", + "Oxygen", + "Roots" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar288", + "input": { + "question": "Pencil is to Paper as Key is to what?", + "options": [ + "Door", + "Lock", + "Safe", + "Box" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ar099", + "input": { + "question": "Teacher is to Lesson as Student is to what?", + "options": [ + "Learning", + "Homework", + "Exam", + "Class" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Art-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Art-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e781ca20c6ba7e9d506a620b6f870b7c4bcd6927 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Art-Question-Answering/annotation.json @@ -0,0 +1,466 @@ +{ + "task": "Art Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "aqa097", + "input": { + "question": "How did the advent of digital technology change the way artists create art?", + "options": [ + "It allowed artists to manipulate images and sound through computers, opening new creative possibilities.", + "It forced artists to return to traditional materials like canvas and paint.", + "It eliminated the need for physical space in art production.", + "It restricted artists to using only black-and-white colors." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa311", + "input": { + "question": "How did the emergence of the modern art market affect the way galleries functioned in the 20th century?", + "options": [ + "Galleries became less influential and were replaced by art fairs.", + "Galleries started to function as intermediaries between artists and wealthy collectors.", + "Galleries only focused on promoting local artists.", + "Galleries lost all commercial interest in contemporary art." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa362", + "input": { + "question": "Which of the following was a key subject of Baroque painting?", + "options": [ + "Religious scenes and dramatic depictions of saints", + "Still lifes with no human figures", + "Abstract compositions and color fields", + "Ordinary life with no focus on religion" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa025", + "input": { + "question": "What was the main focus of Impressionist painters in their depictions of light?", + "options": [ + "Creating dramatic contrasts of light and dark", + "Capturing the effects of natural light and its color variations", + "Depicting shadows and silhouettes", + "Avoiding the use of light entirely" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa361", + "input": { + "question": "How did the work of Christo and Jeanne-Claude, such as 'The Gates' in Central Park, influence installation art?", + "options": [ + "By transforming large outdoor spaces with temporary fabric installations that invited interaction with the environment.", + "By focusing on minimalist sculptures and abstract forms.", + "By creating permanent architectural structures.", + "By using technology and digital projections as their primary medium." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa473", + "input": { + "question": "Which 20th-century artist is most known for his Expressionist portrayal of the human figure, often using elongated and distorted forms?", + "options": [ + "Egon Schiele", + "Pablo Picasso", + "Marc Chagall", + "Henri Matisse" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa456", + "input": { + "question": "What was one of the key innovations in modern sculpture during the early 20th century?", + "options": [ + "The use of non-traditional materials, such as metal and found objects", + "The creation of sculptures exclusively using classical techniques", + "The revival of religious and mythological themes", + "The rejection of all sculptural forms in favor of painting" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa444", + "input": { + "question": "How did the Soviet government control the direction of art during the Cold War?", + "options": [ + "Artists were encouraged to create abstract works that represented socialist ideals.", + "The government imposed strict rules that art must serve the state's political goals and glorify Soviet life.", + "Artists were free to explore any style they wanted.", + "Art was used to promote capitalist ideas and Western culture." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa089", + "input": { + "question": "How did the French Revolution influence the portrayal of social themes in art?", + "options": [ + "It encouraged artists to focus on scenes of aristocratic life", + "It led artists to depict revolutionary heroes and themes of liberty, equality, and fraternity", + "It inspired a return to classical mythology", + "It shifted artists\u2019 focus entirely to religious subjects" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa447", + "input": { + "question": "How did Japanese ukiyo-e woodblock prints influence Western art in the 19th century?", + "options": [ + "They introduced new techniques in oil painting.", + "They inspired Western artists with their use of flat colors, bold lines, and asymmetrical compositions.", + "They focused on religious themes that were unfamiliar to Western artists.", + "They led to the decline of traditional Western printmaking." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa478", + "input": { + "question": "How did the French Revolution impact the use of classical themes in art?", + "options": [ + "It led to the abandonment of classical themes in favor of modern subjects", + "It resulted in the continued celebration of Greek and Roman ideals", + "It caused artists to reject all forms of symbolism", + "It inspired the revival of medieval themes in art" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa016", + "input": { + "question": "What is a defining feature of traditional Indian miniature painting?", + "options": [ + "Abstract, non-representational imagery.", + "Highly detailed, vibrant scenes often depicting religious stories and court life.", + "Large, sweeping landscapes with a focus on natural realism.", + "Dark, muted colors used to depict daily life." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa425", + "input": { + "question": "How did Clement Greenberg's formalist approach to art criticism influence the evaluation of modern art?", + "options": [ + "He believed that art should be valued only for its historical significance.", + "He focused solely on the social and political messages of art.", + "He emphasized the importance of medium specificity, arguing that each art form should focus on its intrinsic properties, such as painting's flatness.", + "He advocated for art to be evaluated based on its financial market value." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa165", + "input": { + "question": "How do Deconstructionist artists use ambiguity in their works?", + "options": [ + "They use ambiguity to challenge viewers to question assumptions and explore multiple interpretations.", + "They avoid ambiguity and focus on clear, straightforward representations.", + "They use ambiguity to create a sense of confusion without purpose.", + "They focus on creating art that has a single, easily understood meaning." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa488", + "input": { + "question": "What is the distinguishing feature of screen printing as a printmaking technique?", + "options": [ + "The use of a metal plate etched with acid.", + "A stencil is applied to a mesh screen, and ink is pushed through onto the surface below.", + "The design is carved into a block of wood.", + "A tonal effect is created by roughening the surface of a metal plate." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa079", + "input": { + "question": "How did formalism influence the evaluation of abstract art?", + "options": [ + "Formalism argued that abstract art could only be evaluated based on its historical context.", + "Formalism claimed that abstract art was inferior to realism.", + "Formalism provided a framework for appreciating abstract art by focusing on its formal qualities rather than its representational content.", + "Formalism rejected abstract art because it lacked clear content." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa304", + "input": { + "question": "How did the construction of the Sydney Opera House challenge traditional architectural designs?", + "options": [ + "By using modern materials like steel and glass, creating a dramatic sail-like roof structure.", + "By relying on traditional stone construction methods.", + "By emphasizing the use of concrete for structural support.", + "By incorporating classical elements such as columns and arches." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa112", + "input": { + "question": "Which of the following Romantic artists is known for his expressive depictions of human suffering, as seen in 'The Third of May 1808'?", + "options": [ + "Francisco Goya", + "Gustave Courbet", + "J.M.W. Turner", + "Caspar David Friedrich" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa086", + "input": { + "question": "Which of the following Romantic artists is known for his depictions of the supernatural and the macabre, such as 'Witches' Sabbath'?", + "options": [ + "Francisco Goya", + "Th\u00e9odore G\u00e9ricault", + "Gustave Courbet", + "Jean-Auguste-Dominique Ingres" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa070", + "input": { + "question": "What was the key design principle behind the Bauhaus school\u2019s approach to architecture?", + "options": [ + "The integration of form and function, emphasizing simplicity and efficiency.", + "The creation of ornate, decorative buildings.", + "The focus on incorporating classical elements into modern designs.", + "The rejection of modern technology in favor of traditional methods." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa084", + "input": { + "question": "What did Wassily Kandinsky consider to be the primary focus of abstract art?", + "options": [ + "Naturalistic landscapes", + "Emotions and spiritual expression", + "Social and political themes", + "Historical accuracy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa357", + "input": { + "question": "How did Indian Buddhist art typically represent the Buddha?", + "options": [ + "Through symbolic gestures (mudras), peaceful expressions, and idealized proportions.", + "By representing Buddha through animal symbols instead of human forms.", + "By depicting Buddha in abstract, non-representational forms.", + "By focusing on realistic human portraits with detailed facial features." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa158", + "input": { + "question": "What was the primary innovation of Albrecht D\u00fcrer in the history of woodcut prints?", + "options": [ + "He introduced the use of multiple colors in woodcuts.", + "He elevated the artistic and technical quality of woodcuts to rival paintings.", + "He focused solely on religious themes in his prints.", + "He rejected traditional woodcut methods in favor of engraving." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa123", + "input": { + "question": "Which of the following works is associated with Surrealism?", + "options": [ + "The Persistence of Memory", + "Guernica", + "The Starry Night", + "The Raft of Medusa" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa472", + "input": { + "question": "Which of the following elements is often central to the works of Abstract Expressionists?", + "options": [ + "Emotional intensity and gestural brushwork", + "Use of perspective to create depth", + "Precision and geometric design", + "Historical themes and allegory" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa029", + "input": { + "question": "Which famous American artist is most closely associated with the Abstract Expressionist movement?", + "options": [ + "Andy Warhol", + "Jackson Pollock", + "David Hockney", + "Roy Lichtenstein" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa354", + "input": { + "question": "The Post-Impressionist movement laid the foundation for which later artistic movement?", + "options": [ + "Surrealism", + "Cubism", + "Expressionism", + "Baroque" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa285", + "input": { + "question": "Which Modernist architectural style is characterized by clean lines, functional design, and the use of industrial materials?", + "options": [ + "Baroque", + "Art Nouveau", + "International Style", + "Gothic" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa160", + "input": { + "question": "Which of the following movements is closely associated with Abstract Art?", + "options": [ + "Impressionism", + "Cubism", + "Surrealism", + "Realism" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "aqa309", + "input": { + "question": "Which of the following Surrealist artists is known for his 'Dreams' and 'The Lovers'?", + "options": [ + "Max Ernst", + "Ren\u00e9 Magritte", + "Joan Mir\u00f3", + "Salvador Dal\u00ed" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Category-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Category-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..504831808346284c5f4d53e15e07952b5a5c57ee --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Category-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_category_detection", + "data_source": "ABSA15_restaurants_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0211", + "input": { + "raw_text": "One of the best, if not THE best, restaurants in Park Slope (and NY in general)", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0164", + "input": { + "raw_text": "It wasn't as if this restaurant had any major bragging points before hand, but now it's simply repulsive.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0127", + "input": { + "raw_text": "We were offered water for the table but were not told the Voss bottles of water were $8 a piece.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0280", + "input": { + "raw_text": "Sushi experience was unbelievable with my fiance.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0441", + "input": { + "raw_text": "If you go here, do it on his off-night.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0392", + "input": { + "raw_text": "Every time I have a special occasion with my boyfriend I have a hard time going anywhere else.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0267", + "input": { + "raw_text": "The lunch buffet is expensive but is deff worth it.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0239", + "input": { + "raw_text": "Vanison was good but not amazing.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0295", + "input": { + "raw_text": "The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts.", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + }, + { + "id": "0163", + "input": { + "raw_text": "BEST DINING EXPERIENCE IN THE WEST VILLAGE!", + "prompt": "<<>>. What aspects are discussed in this restaurant review? Choose from: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. List all applicable categories, separated by commas." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Category-Sentiment-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Category-Sentiment-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8d57a4558aaaa3218957e6a1e2709cc6ecefa816 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Category-Sentiment-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_category_sentiment_detection", + "data_source": "ABSA15_restaurants_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0206", + "input": { + "raw_text": "How this place survives the competitive west village market in this economy, or any other for that matter, is beyond me.", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0410", + "input": { + "raw_text": "When we threatened to leave, we were offered a meager discount even though half the order was missing.", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0187", + "input": { + "raw_text": "This place doesn't make any sense", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0156", + "input": { + "raw_text": "The best!", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0011", + "input": { + "raw_text": "Great Atmosphere", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0398", + "input": { + "raw_text": "I am actually offended to have spent so much money on such a bad experience.", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0378", + "input": { + "raw_text": "But the service is HORRID!", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0140", + "input": { + "raw_text": "Love Al Di La", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0471", + "input": { + "raw_text": "We thought the dessert would be better, Wrong!", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0327", + "input": { + "raw_text": "If you\u2019re planning to come here, make sure that your date is someone whom you really like since you\u2019ll be ushered to private booths where there will be no people or food watching (choose the ones on the ground level that have glass ceilings so you may see the stars in the sky!).", + "prompt": "<<>>. Extract all aspect category and sentiment pairs from this review. The aspect categories should be one of: AMBIENCE, DRINKS, FOOD, LOCATION, RESTAURANT, SERVICE. Format each pair as 'category => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Opinion-Pair-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Opinion-Pair-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..08eba666127ec91d3853643c625c9c5e2de5ffb6 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Opinion-Pair-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_opinion_pair_extraction", + "data_source": "restaurant_reviews_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0038", + "input": { + "raw_text": "i love margherita pizza \u2013 i looove east village pizza", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0061", + "input": { + "raw_text": "Service was just ok , it is not what you 'd expect for $ 500 .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0269", + "input": { + "raw_text": "Red Dragon Roll - my favorite thing to eat , of any food group - hands down", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0315", + "input": { + "raw_text": "The lobster knuckles ( special of the day ) were ok , but pretty tasteless .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0450", + "input": { + "raw_text": "Although small , it has beautiful ambience , excellent food ( the catfish is delicious - if ya do n't mind it a lil salty ) and attentive service .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0183", + "input": { + "raw_text": "Everything from the eggs benedict to the mussels and even the hamburger were done well and very tasty .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0126", + "input": { + "raw_text": "If your looking for nasty high priced food with a dash of ghetto scenery cheap BX A $ $ this is the place to be ! !", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0266", + "input": { + "raw_text": "the food is always fresh ...", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0028", + "input": { + "raw_text": "The food is good .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0200", + "input": { + "raw_text": "BTW , the service is very good .", + "prompt": "<<>>. Extract all aspect-opinion pairs from this review. Format each pair as 'aspect => opinion' and separate multiple pairs with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..126765aa34d2c99793dcc982351fbaeb81212446 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Classification/annotation.json @@ -0,0 +1,127 @@ +{ + "task": "aspect_sentiment_classification", + "data_source": "ABSA15_restaurants_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0323", + "input": { + "raw_text": "Service was just ok, it is not what you'd expect for $500.", + "target": "Service", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0152", + "input": { + "raw_text": "Bukhara is on my top 5 Indian places in NYC", + "target": "Bukhara", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0174", + "input": { + "raw_text": "Paul, the maitre d', was totally professional and always on top of things.", + "target": "Paul", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0332", + "input": { + "raw_text": "Best Indian Chinese in the city, by far!", + "target": "Indian Chinese", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0436", + "input": { + "raw_text": "They are extremely rude, not even apologizing for the horrible service we got and handing us a bill well over $500 for some drinks adn their pita bread!", + "target": "service", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0360", + "input": { + "raw_text": "In the summer months, the back garden area is really nice.", + "target": "back garden area", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0390", + "input": { + "raw_text": "I'll being with a couple of positives: cool decor, good pita and hummus, and grilled octopus that was actually pretty tasty.", + "target": "hummus", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0101", + "input": { + "raw_text": "Just go to Yamato and order the Red Dragon Roll.", + "target": "Red Dragon Roll", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0078", + "input": { + "raw_text": "The place has a nice fit-out, some attractive furnishings and, from what I could tell, a reasonable wine list (I was given the food menu when I asked for the carte des vins)", + "target": "wine list", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + }, + { + "id": "0298", + "input": { + "raw_text": "The boths are not as small as some of the reviews make them out to look they're perfect for 2 people.", + "target": "boths", + "prompt": "<<>>. What is the sentiment towards <<>> in this text? Choose from: positive, negative, or neutral." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Quad-Prediction/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Quad-Prediction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5947f011c1d058373c536eccc4fd7031cf4f9cdc --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Quad-Prediction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_sentiment_quad_prediction", + "data_source": "restaurant_reviews_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0355", + "input": { + "raw_text": "\u2013 Had to wait thirty minutes to get in the door on a tuesday morning , but it was so worth it .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0069", + "input": { + "raw_text": "\u2013 By far the best bar in the east village ...", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0444", + "input": { + "raw_text": "Good Sushi , High Price", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0402", + "input": { + "raw_text": "I liked it .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0263", + "input": { + "raw_text": "Seabass on lobster risotto was the best .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0089", + "input": { + "raw_text": "good sake selection .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0332", + "input": { + "raw_text": "I 've always found the wait staff and , if you sit at the bar , the cooks very friendly .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0211", + "input": { + "raw_text": "\u2013 Great drinks , corn beef hash , coffee , B Fast burritos , Gluten Free menu .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0250", + "input": { + "raw_text": "Overrated", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0400", + "input": { + "raw_text": "Even the chickpeas , which I normally find too dry , were good .", + "prompt": "<<>>. Extract all aspect-category-sentiment-opinion quadruplets from this review. The aspect categories should be one of: ambience general, drinks prices, drinks quality, drinks style_options, food general, food prices, food quality, food style_options, location general, restaurant general, restaurant miscellaneous, restaurant prices, service general. Note that the aspect field might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'aspect => category => sentiment => opinion' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Triplet-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Triplet-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7036153e7a9632e95aa1244a34c34e9595bc2da0 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Sentiment-Triplet-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_sentiment_triplet_extraction", + "data_source": "restaurant_reviews_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0127", + "input": { + "raw_text": "Food is great .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0425", + "input": { + "raw_text": "The food is okay and the prices here are mediocre .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0158", + "input": { + "raw_text": "The service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0215", + "input": { + "raw_text": "The concept of japanese tapas is newly created and clearly does n't work .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0197", + "input": { + "raw_text": "Despite the confusing mirrors this will likely be my go-to for modern Japanese food for the foreseeable future .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0122", + "input": { + "raw_text": "The entree was also very good .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0255", + "input": { + "raw_text": "Best meal in a long time !", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0013", + "input": { + "raw_text": "The place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0202", + "input": { + "raw_text": "Best Indian Restaurant in the City", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0375", + "input": { + "raw_text": "Each time we 've been , the front of house staff ( not the waiters - they 're fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes I would never return .", + "prompt": "<<>>. Extract all aspect-opinion-sentiment triplets from this review. Format each triplet as 'aspect => opinion => sentiment' and separate multiple triplets with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Aspect-Term-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Aspect-Term-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fdd217ad69e6863e7a2e9bd5cbb8c4241ece2634 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Aspect-Term-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "aspect_term_extraction", + "data_source": "ABSA15_restaurants_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0116", + "input": { + "raw_text": "I do not think dinner in Manhattan should cost $400.00 where I am not swept off my feet.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0308", + "input": { + "raw_text": "Not what I would expect for the price and prestige of this location.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0038", + "input": { + "raw_text": "The waitress came to check in on us every few minutes, and began to clear the plates while half of us were still eating (a big pet peeve of mine that happens almost everywhere, so I try to ignore it).", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0265", + "input": { + "raw_text": "The waiter was attentive, the food was delicious and the views of the city were great.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0035", + "input": { + "raw_text": "So, I switch with my boyfriend again to see if maybe I could stomach the meat and spinach again, but the spinach was so undercooked that I just could not bite through it.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0177", + "input": { + "raw_text": "Also, I personally wasn't a fan of the portobello and asparagus mole.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0003", + "input": { + "raw_text": "Excellent food for great prices", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0057", + "input": { + "raw_text": "I have never left a restaurant feeling as if i was abused, and wasted my hard earned money.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0157", + "input": { + "raw_text": "All the various Greek and Cypriot dishes are excellent, but the gyro is the reason to come--if you don't eat one your trip was wasted.", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0330", + "input": { + "raw_text": "Best Indian Chinese in the city, by far!", + "prompt": "<<>>. Extract all aspect terms from this restaurant review. List all terms, separated by commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Bias-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Bias-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..53bf193ab62f7ea2ff06af3b2aac7eac66c26ca5 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Bias-Detection/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "bias_detection", + "data_source": "bias_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0105", + "input": { + "raw_text": "in judaism, the name of god is more than a distinguishing title.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0183", + "input": { + "raw_text": "titled \"the radical's arms\", it depicts the infamous guillotine.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0450", + "input": { + "raw_text": "the collegiate school is a prestigious private school for boys in new york city.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0423", + "input": { + "raw_text": "gaithersburg: then and now takes you on a photographic journey through the city's rich history... gaithersburg: then & now", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0305", + "input": { + "raw_text": "chronic illness of the spouse ), a medical doctor should be consulted to clarify whether the urine of the chronically ill or medicated person may be consumed without endangering one's health, or not.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0490", + "input": { + "raw_text": "minnie julia riperton (november 8, 1947 - july 12, 1979) was a soul singer from chicago, illinois, most noted for her abilities in the whistle register and her 1975 hit single \"lovin' you\".", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0467", + "input": { + "raw_text": "in an interview with peter shea, klein talks about the generation of her piece \"the wolves of bays mountain,\" as well as other fascinating aspects of her work.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0406", + "input": { + "raw_text": "it divides the west of ireland (principally the province of connacht) from the east and south (leinster and most of munster).", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0317", + "input": { + "raw_text": "the manley roadhouse was owned by robert e lee, who was also the town's postmaster until his passing in 2010. in 1907 a miner named frank manley built the hot springs resort hotel.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0206", + "input": { + "raw_text": "currently (july 2006) there are many 'modchips' being released which add one or two firmware chips and have a switch to select.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0465", + "input": { + "raw_text": "antinatalism has been criticized from a variety of philosophic perspectives.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0316", + "input": { + "raw_text": "rocket recovered from this early career setback and acted in many films, including earth girls are easy, dances with wolves, and dumb and dumber, and as a recurring guest star on episodic tv.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0219", + "input": { + "raw_text": "in explaining why the material at issue in the case was not obscene under the roth test, and therefore was protected speech that could not be censored, stewart wrote:", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0265", + "input": { + "raw_text": "the whopper is the signature hamburger sold by the international fast-food restaurant chain burger king and its australian franchise hungry jack's.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0375", + "input": { + "raw_text": "adobe indesign is a desktop publishing (dtp) application produced by adobe systems.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0122", + "input": { + "raw_text": "similarly, douglas coupland has coined the phrase \"veal-fattening pen,\" in parody of the cubicle in his cult novel generation x: tales for an accelerated culture.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0184", + "input": { + "raw_text": "dr daniel m henry is a profound fundraiser and past college president of gannon university (1987-91) in erie,pa", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0403", + "input": { + "raw_text": "kevin vincent muscat (born 7 august 1973 in crawley, england) is an australian soccer player, who currently plays for, and is captain of, melbourne victory in the australian hyundai a-league.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0221", + "input": { + "raw_text": "the court ruled that indecent exposure only relates to exposure of the genitals, adding that whilst mooning was a \"disgusting\" and \"demeaning\" act to engage in, and had in addition taken place in the presence of a minor,", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0099", + "input": { + "raw_text": "the fix-up is the thirty-fourth episode of the hit sitcom seinfeld.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0075", + "input": { + "raw_text": "in order to attract and capture this attention, the dumbing down process is deemed essential.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0144", + "input": { + "raw_text": "just like a regular fusion, the time is 30 minutes before the two fighters defuse.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0025", + "input": { + "raw_text": "in 1979, the labour manifesto declared that a labour government would \"oppose any move towards turning the community into a federation\" and, in 1983, it still favoured british withdrawal from the eec.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0393", + "input": { + "raw_text": "red-billed chough, pyrrhocorax pyrrhocorax, an elegant bird, distinguished by its bright red, slightly decurved bill and red legs and feet.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0080", + "input": { + "raw_text": "zakharchenko was murdered by a bombing in the caf \"separ\" in donetsk, on 31 august 2018. preliminary reports say dnr's finance minister alexander timofeyev was wounded in the blast as well.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0161", + "input": { + "raw_text": "at the cd signing, two young fans asked clay to autograph their shoulderblades and then went to the local tattoo parlor to make them permanent; later that day on jimmy kimmel live they were brought on stage to show the tattoos.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0451", + "input": { + "raw_text": "its good fun to catch the rabbits and break their necks.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0058", + "input": { + "raw_text": "after r. schneerson's death in 1994 his hassidim continue his work and hundreds of new emissaries continue to leave for even the remotest places.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0395", + "input": { + "raw_text": "it has a population around 505,286 inhabitants, which represents approximately 33% of the state population.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0422", + "input": { + "raw_text": "saint john is a city of neighbourhoods, with many residents closely identifying with their particular area.", + "prompt": "<<>>. Determine if this text contains bias. Respond with either 'Biased' or 'Not Biased'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Biomedical-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Biomedical-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3242957baf3f03edf34c5ddb14491ae02da7df06 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Biomedical-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Biomedical Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "bqa445", + "input": { + "question": "What types of Duchenne muscular dystrophy (DMD) can eteplirsen be used to treat?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa030", + "input": { + "question": "What is the cause of Leigh syndrome?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa409", + "input": { + "question": "What gene mutation causes Canavan disease?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa223", + "input": { + "question": "How do microRNAs (miRNAs) regulate gene expression?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa085", + "input": { + "question": "What is the standard first-line treatment for severe Plasmodium falciparum malaria?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa339", + "input": { + "question": "What is the rate of intellectual developmental disorders in individuals with Duchenne Muscular Dystrophy?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa164", + "input": { + "question": "What causes Brazilian spotted fever?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa230", + "input": { + "question": "What other conditions should be considered when diagnosing Ehlers-Danlos Syndrome?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa197", + "input": { + "question": "Is the survival rate favorable for patients with early-stage oral squamous cell carcinoma?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa103", + "input": { + "question": "What are the symptoms associated with Havana syndrome?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa192", + "input": { + "question": "Can proton pump inhibitors (PPIs) increase the risk of gastric cancer?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa005", + "input": { + "question": "What is the nature of Oculopharyngeal Muscular Dystrophy (OPMD)?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa315", + "input": { + "question": "Is procalcitonin a reliable predictor for mortality in pediatric sepsis?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa463", + "input": { + "question": "What is the role of the Mediator complex in regulating gene expression?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa420", + "input": { + "question": "How does casimersen work to treat Duchenne muscular dystrophy?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa254", + "input": { + "question": "What are the mechanisms that contribute to the development of irritable bowel syndrome?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa117", + "input": { + "question": "What disease can be treated with Bulevirtide?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa213", + "input": { + "question": "Is there an increased risk of Posterior Reversible Encephalopathy Syndrome (PRES) associated with tacrolimus use?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa079", + "input": { + "question": "What are the current medical uses of thalidomide?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa435", + "input": { + "question": "What is the mechanism of action of viltolarsen?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa481", + "input": { + "question": "Is Intepirdine recommended for Alzheimer's disease?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa202", + "input": { + "question": "What is the shortest recommended time for oxaliplatin infusion, and what are the considerations?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa035", + "input": { + "question": "What is the mechanism of action of Pegozafermin?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa471", + "input": { + "question": "What is the role of coactivators in transcription?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa495", + "input": { + "question": "Does music therapy help with pain relief in neonates?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa155", + "input": { + "question": "Which cellular components are involved in mitophagy?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa397", + "input": { + "question": "What does Catamenial pneumothorax refer to?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa151", + "input": { + "question": "What are the primary functions of the sodium leak channel (NALCN) in the body?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa335", + "input": { + "question": "What are the key clinical endpoints assessed in Pamrevlumab trials, both primary and secondary?" + }, + "output": { + "answer": [] + } + }, + { + "id": "bqa174", + "input": { + "question": "How common is neurofibromatosis, and what are its subtypes?" + }, + "output": { + "answer": [] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Business-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Business-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..eba7f6bde5484a713b5c17b3e515afe92ae2da02 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Business-Question-Answering/annotation.json @@ -0,0 +1,466 @@ +{ + "task": "Business Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "bqa387", + "input": { + "question": "Which of the following best describes a high-quality Leader-Member Exchange (LMX)?", + "options": [ + "Limited communication and low trust", + "High mutual respect, trust, and support between leader and follower", + "Strict control with little delegation", + "Frequent turnover of team members" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa481", + "input": { + "question": "In a Value Chain Analysis, which of the following activities is considered a primary activity?", + "options": [ + "Procurement", + "Human resource management", + "Marketing and sales", + "Technology development" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa430", + "input": { + "question": "Which of the following is a key benefit of using linear programming in supply chain optimization?", + "options": [ + "It helps forecast demand accurately", + "It identifies the optimal allocation of resources subject to constraints", + "It improves the production speed", + "It reduces transportation times" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa405", + "input": { + "question": "How does a SWOT analysis assist in strategic management?", + "options": [ + "By identifying the financial health of a company", + "By evaluating the company\u2019s internal strengths and weaknesses along with external opportunities and threats", + "By measuring the company's market share", + "By forecasting industry trends" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa256", + "input": { + "question": "A decision-maker using the Laplace criterion assumes:", + "options": [ + "All decision outcomes are equally likely", + "Outcomes are based on probabilities of success", + "The decision-maker will only consider the best possible outcomes", + "Outcomes are based on historical data" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa462", + "input": { + "question": "A Positioning Map is used to:", + "options": [ + "Identify how a brand is perceived relative to competitors on specific attributes", + "Determine the most effective pricing strategy", + "Identify the most profitable distribution channels", + "Track customer satisfaction levels over time" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa068", + "input": { + "question": "In decision theory, what does 'risk-neutral' mean?", + "options": [ + "A decision-maker who avoids all risky decisions", + "A decision-maker who values potential gains and losses equally", + "A decision-maker who always chooses the option with the least risk", + "A decision-maker who prefers safe outcomes over uncertain ones" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa082", + "input": { + "question": "What is the purpose of the Foreign Corrupt Practices Act (FCPA)?", + "options": [ + "To ensure fair trade between countries", + "To prohibit U.S. companies from bribing foreign officials for business advantage", + "To regulate stock market investments", + "To set environmental standards for international companies" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa219", + "input": { + "question": "Which type of training focuses on enhancing an employee's expertise for their current role?", + "options": [ + "Leadership Training", + "Skill Enhancement Training", + "Management Training", + "Corporate Culture Training" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa184", + "input": { + "question": "The Efficient Market Hypothesis (EMH) suggests that asset prices reflect which of the following?", + "options": [ + "All public and private information", + "Only the company's financial performance", + "Only shareholders' expectations", + "Stock prices are purely speculative and unpredictable" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa155", + "input": { + "question": "What is the primary benefit of organizational learning?", + "options": [ + "It reduces the need for change", + "It helps organizations adapt to new challenges and improve over time", + "It focuses on preserving existing knowledge without change", + "It encourages employees to work independently of the organization\u2019s goals" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa042", + "input": { + "question": "Market segmentation is primarily used to:", + "options": [ + "Maximize the market share", + "Create customer value by targeting specific groups", + "Increase product price", + "Standardize products for mass distribution" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa276", + "input": { + "question": "Which of the following formulas is used to calculate the Cash Flow Coverage Ratio?", + "options": [ + "Operating Cash Flow / Total Debt", + "Net Income / Total Assets", + "Operating Income / Total Assets", + "Operating Cash Flow / Current Liabilities" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa396", + "input": { + "question": "In Modern Portfolio Theory, what is the main benefit of diversification?", + "options": [ + "It increases the expected return of the portfolio", + "It reduces the portfolio\u2019s total risk without sacrificing return", + "It guarantees positive returns in all market conditions", + "It eliminates systematic risk in the portfolio" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa473", + "input": { + "question": "What does the concept of 'resource-based view' (RBV) emphasize in strategy formulation?", + "options": [ + "The need to monitor competitors' strategies", + "The importance of utilizing the company\u2019s unique internal resources and capabilities", + "The use of aggressive marketing campaigns", + "The external environment\u2019s effect on strategy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa402", + "input": { + "question": "If a company has a debt to equity ratio of 2, what does this indicate?", + "options": [ + "The company is fully financed by debt", + "The company uses twice as much debt as equity for its financing", + "The company has no debt", + "The company is financed only by equity" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa101", + "input": { + "question": "Which of the following is a key element in the supply chain cost management model?", + "options": [ + "Minimizing supplier lead times", + "Optimizing operational costs, including procurement, production, and distribution", + "Reducing product variety", + "Increasing product quality at the expense of cost" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa038", + "input": { + "question": "Which of the following is an example of demographic segmentation?", + "options": [ + "Segmenting the market based on consumer behavior", + "Segmenting the market based on income, age, or education", + "Segmenting the market based on product usage", + "Segmenting the market based on lifestyle" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa272", + "input": { + "question": "In the context of strategic management, what does 'competitive advantage' primarily refer to?", + "options": [ + "The ability of a company to reduce costs", + "The unique resources or capabilities that allow a firm to outperform its competitors", + "The market share a company holds", + "The marketing strategies a company uses" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa320", + "input": { + "question": "How does a company's adoption of sustainable supply chain practices contribute to its overall corporate social responsibility (CSR) goals?", + "options": [ + "It increases the company's immediate profits", + "It improves the company's market share", + "It reduces the environmental and social impacts associated with its supply chain", + "It focuses solely on cost-cutting measures" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa029", + "input": { + "question": "In strategic management, what does the term 'market segmentation' refer to?", + "options": [ + "Creating new products for all customer segments", + "Dividing a broad target market into smaller, more defined categories of consumers", + "Increasing production to reduce costs", + "Focusing only on the most profitable customer segment" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa132", + "input": { + "question": "What is the main purpose of the Statement of Changes in Equity?", + "options": [ + "To calculate the company\u2019s total liabilities", + "To reconcile the beginning and ending equity balances, including profits and dividends", + "To show the company\u2019s cash flow from operations", + "To present the company\u2019s debt obligations" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa242", + "input": { + "question": "Which leadership style emphasizes high control and support, with a focus on two-way communication between leaders and followers?", + "options": [ + "Autocratic Leadership", + "Democratic Leadership", + "Laissez-Faire Leadership", + "Transformational Leadership" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa324", + "input": { + "question": "In the decision-making process, what role does 'bounded rationality' play?", + "options": [ + "It assumes that decision-makers have unlimited time and resources to make decisions", + "It suggests that decision-makers are perfectly rational and logical", + "It acknowledges that decision-makers are limited by information, time, and cognitive constraints", + "It focuses on making decisions based solely on intuition" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa469", + "input": { + "question": "In macroeconomics, what does the term 'stagflation' describe?", + "options": [ + "A period of high inflation and high unemployment", + "A period of low inflation and low unemployment", + "A rapid increase in economic growth", + "A recession with no change in unemployment rates" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa168", + "input": { + "question": "Which type of team communication is most effective in a cross-functional team?", + "options": [ + "Formal and hierarchical", + "Informal and casual", + "Open and collaborative", + "One-way communication from the leader" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa282", + "input": { + "question": "Which of the following is a primary characteristic of a Blue Ocean Strategy?", + "options": [ + "Competing within existing industry boundaries", + "Creating new market space with little or no competition", + "Focusing on cost-cutting to improve profitability", + "Maintaining competitive advantage through price wars" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa446", + "input": { + "question": "Which employee training method is most suitable for enhancing practical operational skills?", + "options": [ + "Classroom Training", + "Job Rotation", + "Online Learning", + "On-the-Job Training (OJT)" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa375", + "input": { + "question": "In the context of strategic decision-making, what does 'sensitivity analysis' assess?", + "options": [ + "The risk associated with different financial scenarios", + "The impact of changes in key assumptions on the outcome of a decision", + "The market share of the company", + "The potential for mergers and acquisitions" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "bqa378", + "input": { + "question": "What does the 'role theory' in team building primarily focus on?", + "options": [ + "Power structure within teams", + "Relationships and interactions among team members", + "Specific tasks and responsibilities assigned to team members", + "Personality traits of team members" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Causal-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Causal-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..97f22f470ddb7c45ec1c91e7f5532931e0fcdc15 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Causal-Reasoning/annotation.json @@ -0,0 +1,406 @@ +{ + "task": "Causal Reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "cr084", + "input": { + "question": "What is the cause of: It died.?", + "options": [ + "The possum has eaten an ill bird.", + "The fish has suffered from the infection." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr017", + "input": { + "question": "What is the cause of: Scientists avoid great impact of atoms.?", + "options": [ + "The abuse of nuclear power is terrifying.", + "He was studying atoms." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr460", + "input": { + "question": "What is the cause of: This habitat has been occupied by them.?", + "options": [ + "Hedgehogs were rampant in this mountain.", + "There are a lot of donkeys in that area." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr269", + "input": { + "question": "What is the effect of: Tom had glibenclamide after drinking.?", + "options": [ + "Tom has anemia.", + "Tom wanted to throw up." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr283", + "input": { + "question": "What is the effect of: The minister appointed a representative for him to attend the meeting.?", + "options": [ + "He turned to the assistants for explaination.", + "The representatives must be careful with his words since he should be responsible to his minister." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr210", + "input": { + "question": "What is the effect of: The percentage of oxygen is low in water.?", + "options": [ + "Iguanas have difficulty in breathing.", + "Vehicles of too big sizes cannot enter it." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr110", + "input": { + "question": "What is the effect of: Tom perfers beers made with bottom Fermenting yeasts.?", + "options": [ + "He ordered lagers in the bar every time.", + "The doctor said he was malnourished." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr375", + "input": { + "question": "What is the cause of: Jack is bound to fail.?", + "options": [ + "Jack tried to make his two terrapins reproroduce their child.", + "Jack tried to make his female terrapin reproroduce his child on her own." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr163", + "input": { + "question": "What is the cause of: Workers use acrylamide.?", + "options": [ + "The worker is importing a lot chitin.", + "Oil is lost quickly during drilling." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr336", + "input": { + "question": "What is the cause of: The structure of the soil has changed.?", + "options": [ + "He added a lot of Bacillus to the soil.", + "They dig to the subsoil." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr383", + "input": { + "question": "What is the cause of: We find that they emphasized characteristics.?", + "options": [ + "We looked at a lot of photographs.", + "Scientists have done a research about nuclei." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr098", + "input": { + "question": "What is the cause of: I've been picking fish bones for a long time.?", + "options": [ + "My mother stewed a mahimachi for me at noon.", + "The piranha was hungry and found a dead fish." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr232", + "input": { + "question": "What is the cause of: The cattle was poisoned.?", + "options": [ + "Farmers always burn stalks.", + "The cattle accidentally ingested nitrate." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr196", + "input": { + "question": "What is the cause of: He found many trees with good branches.?", + "options": [ + "Jason planted pineapples in the direct-sunlight place.", + "Bob wants to study photosynthesis." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr126", + "input": { + "question": "What is the effect of: Susan is a midwife.?", + "options": [ + "The goldfish swim away.", + "She was specially trained in childbirth." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr135", + "input": { + "question": "What is the effect of: This kind of bear grew in the forest.?", + "options": [ + "This kind of bear habitates in the forest.", + "It became a female." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr363", + "input": { + "question": "What is the effect of: Tom's shoelaces were lost.?", + "options": [ + "He went to the shop of footwear.", + "He went to buy caulk." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr341", + "input": { + "question": "What is the cause of: He got immersed in articles about Ammonites.?", + "options": [ + "He looked up information to find out about the extinct relatives of living elephants.", + "John was shocked by the existence of the extinct relatives of modern cephalopods." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr190", + "input": { + "question": "What is the cause of: He produced wonderful literature based on his experience.?", + "options": [ + "Hemingway had a rich life experience.", + "This boy has little life experience." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr323", + "input": { + "question": "What is the effect of: The teacher asked the students to choose a mammal with the same body heat.?", + "options": [ + "They studied the bodies of cockroaches.", + "One student chose lemmings." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr047", + "input": { + "question": "What is the cause of: He found out that cytokines worked in it.?", + "options": [ + "Tom was studying how body temperature rises.", + "The scientist testing lipoproteins." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr268", + "input": { + "question": "What is the effect of: They eat anything like plants.?", + "options": [ + "They are common aquatic plants in South America.", + "Algas became their food." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr229", + "input": { + "question": "What is the cause of: She didn't cared about her latency.?", + "options": [ + "Lucy has taken a vague photo.", + "The kid hoped to stay away from learning." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr448", + "input": { + "question": "What is the effect of: The man deals with sales.?", + "options": [ + "Meeting people is part of his job.", + "He is part of the market." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr185", + "input": { + "question": "What is the effect of: Gems are precious.?", + "options": [ + "Everyone cherishes the gem as the treasure although there are something else in the mineral kingdom.", + "They company with their wives and never leave them." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr482", + "input": { + "question": "What is the effect of: They went to the theater.?", + "options": [ + "They were hungry.", + "They found it's a room surrounded by walls." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr443", + "input": { + "question": "What is the effect of: Mary was one of the runner this time.?", + "options": [ + "Her face looks not as red as she just started jogging.", + "Mary participated in km tme trials." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr164", + "input": { + "question": "What is the cause of: The insects decreased swiftly in number.?", + "options": [ + "Several moles were introduced into a piece of farmland where harmful insects thrived.", + "The gardener was asked to kill the insects in the garden." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr172", + "input": { + "question": "What is the cause of: She is very good at communicating with others.?", + "options": [ + "Susan's cell phone is very hot after use.", + "She is the best receptionist in her company." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr277", + "input": { + "question": "What is the cause of: The milk goes bad.?", + "options": [ + "The cells of milk have some changes.", + "Mike forgot to add rennet to the milk." + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Chemical-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Chemical-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..54f47b30511c19677e39a13c103f66042a762cea --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Chemical-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "chemical_ner", + "data_source": "chemical_papers", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0286", + "input": { + "raw_text": "\u03b2-eudesmol , a natural sesquiterpenol present in a variety of Chinese herbs , is known to inhibit the proliferation of human tumor cells .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0453", + "input": { + "raw_text": "THPP-1 produced dose - dependent effects in preclinical assays predictive of antipsychotic activity including attenuation of MK-801 -induced psychomotor activation and condition avoidance responding in rats .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0047", + "input": { + "raw_text": "Increased levels of ALA and oleic acid , and decrease in linoleic and palmitic acids at late ripening stages of Primula sibthorpii , and slightly fluctuations of all examined fatty acids in Echium italicum were observed .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0107", + "input": { + "raw_text": "In continuation of our search for bioactive secondary metabolites from terrestrial Bacillus spp . , a new microbial diketopiperazine , cis-cyclo-(His,Leu) ( 1 ) was isolated from the ethyl acetate extract of a strain B . subtilis B38 , together with cis-cyclo-(Phe,Phe) ( 2 ) , tryptophane ( 3 ) , cis-cyclo-(Leu,Tyr) ( 4 ) , cis-cyclo-(Trp,Tyr) ( 5 ) and macrolactin A ( 6 ) .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0174", + "input": { + "raw_text": "Seminal fructose content was also significantly increased after 28 days of treatment .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0200", + "input": { + "raw_text": "The intent of this article is to review all the reported thiazolidinediones and associated groups of PPAR\u03b3 ligands .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0044", + "input": { + "raw_text": "Human organic cation transporter 3 ( OCT3 and SLC22A3 ) mediates the uptake of many important endogenous amines and basic drugs in a variety of tissues .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0149", + "input": { + "raw_text": "A 90-day oral ( dietary ) toxicity study of arruva , an R , R-monatin salt isomer , in Crl : CD-1(ICR) mice .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0177", + "input": { + "raw_text": "Here we utilize transgenic and allograft breast cancer models to demonstrate that increased mammalian target of rapamycin ( mTOR ) signalling can be a significant contributor to breast cancer progression in vivo .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0369", + "input": { + "raw_text": "Recent findings implicate group II metabotropic glutamate receptors ( mGluR(2 / 3 ) ) in the reinforcing effects of psychostimulants and have identified these receptors as potential treatment targets for drug addiction .", + "prompt": "<<>>. Extract all chemical entities and their types from this text. The possible entity types are: ABBREVIATION, FAMILY, FORMULA, IDENTIFIER, MULTIPLE, NO CLASS, SYSTEMATIC, TRIVIAL. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Chemical-Protein-Relationship-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Chemical-Protein-Relationship-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b7ef9559cd4954c0324a2145cb0338c6b2f82f04 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Chemical-Protein-Relationship-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "chemical_protein_relationship_classification", + "data_source": "cpr_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0432", + "input": { + "raw_text": "@CHEMICAL$ (Ro 40-5967) belongs to a new chemical class of these molecules which differs from other Ca2+ antagonists by its ability to potently block @GENE$.", + "prompt": "<<>>. Classify the relationship between @CHEMICAL$ and @GENE$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0300", + "input": { + "raw_text": "Herein, we evaluate the interaction of the @GENE$, @CHEMICAL$, as compared to fluparoxan, at multiple monoaminergic receptors and examine their roles in the modulation of adrenergic, dopaminergic and serotonergic transmission in freely-moving rats.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0246", + "input": { + "raw_text": "Identification of @CHEMICAL$ in the @GENE$ required for activation of factor IX.", + "prompt": "<<>>. Classify the relationship between @CHEMICAL$ and @GENE$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0312", + "input": { + "raw_text": "In [@CHEMICAL$]GTPgammaS binding protocols, yohimbine exerts antagonist actions at halpha(2A)-AR, h5-HT(1B), h5-HT(1D), and @GENE$ sites, yet partial agonist actions at h5-HT(1A) sites.", + "prompt": "<<>>. Classify the relationship between @CHEMICAL$ and @GENE$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0269", + "input": { + "raw_text": "Agonist and antagonist actions of yohimbine as compared to fluparoxan at alpha(2)-adrenergic receptors @GENE$, serotonin (5-HT)(1A), @CHEMICAL$(1B), 5-HT(1D) and dopamine D(2) and D(3) receptors.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0286", + "input": { + "raw_text": "Agonist and antagonist actions of yohimbine as compared to fluparoxan at @GENE$ (AR)s, serotonin (5-HT)(1A), 5-HT(1B), 5-HT(1D) and @CHEMICAL$ D(2) and D(3) receptors.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0484", + "input": { + "raw_text": "@GENE$ catalyse the last step in carnitine biosynthesis, the formation of L-carnitine from @CHEMICAL$, a reaction dependent on Fe2+, alpha-ketoglutarate, ascorbate and oxygen.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0424", + "input": { + "raw_text": "The present study examined arrhythmic risk in patients with overt and concealed forms of the disease and the effectiveness of @CHEM-GENE$ blockers to unmask the syndrome and, thus, identify patients at risk.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0225", + "input": { + "raw_text": "This study sought to examine the feasibility of prolonged assessment of acetylcholinesterase (@GENE$) activity in the cerebrospinal fluid (CSF) of volunteers and to test the hypothesis that rivastigmine (ENA-713; @CHEMICAL$, Novartis Pharma AG, Basel, Switzerland) selectively inhibits AChE in CSF in humans at a dose producing minimal inhibition of the peripheral enzyme.", + "prompt": "<<>>. Classify the relationship between @GENE$ and @CHEMICAL$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + }, + { + "id": "0236", + "input": { + "raw_text": "CSF specimens and samples of blood cells and blood plasma were analyzed at intervals for rivastigmine and its metabolite NAP 226-90 (@CHEMICAL$), erythrocyte AChE activity, CSF AChE activity, and plasma and CSF @GENE$ (BuChE) activity.", + "prompt": "<<>>. Classify the relationship between @CHEMICAL$ and @GENE$. The possible relationship types are: CPR:false, CPR:3, CPR:4, CPR:5, CPR:6, CPR:9. Please provide only the relationship type." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Climate-Change-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Climate-Change-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..54c4f94a08cb9aa3d8d40319fbb63cfaf540ae39 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Climate-Change-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "climate_ner", + "data_source": "climate_papers_dataset", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0267", + "input": { + "raw_text": "A wide variety of aerosols are suspended in the atmosphere .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0112", + "input": { + "raw_text": "The challenge of recent years is represented by the possibility to confer a sustainable approach to disaster relief strategies .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0131", + "input": { + "raw_text": "The ReCiPe 2016 Midpoint and Endpoint characterization model was used for the data expression .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0340", + "input": { + "raw_text": "In northern countries , such as Finland , winter climate conditions affect the functionality of society in many ways .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0178", + "input": { + "raw_text": "processing chain has recently been adapted to the new European Space Agency \u2019s C - band SAR mission Sentinel-1 .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0374", + "input": { + "raw_text": "The density of the measurements is considerably greater than observational gridded datasets available at the European level , such as E - OBS or CRU - TS .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0418", + "input": { + "raw_text": "Debris influences the surface energy balance and therefore glacier melt by influencing the thermal properties ( e.g. albedo , thermal conductivity , roughness ) of the glacier surface .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0430", + "input": { + "raw_text": "The risk components that have not received much attention ( e.g. changes in dike systems and in vulnerability ) may mask the influence of climate change that is often investigated component .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0350", + "input": { + "raw_text": "Ocean colour remote sensing has been extensively used to study phytoplankton throughout the world , yet there is still much to understand in terms of what influences phytoplankton variability at regional scales .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0046", + "input": { + "raw_text": "Agreeing with geo - sciences I do not understand natural disasters ( such as hurricanes , earthquakes or storm surges ) as single events , like journalism mainly covers them .", + "prompt": "<<>>. Extract all climate-related named entities and their types from this text. The possible entity types are: assets, datasets, greenhouse-gases, hazards, impacts, mitigations, models, nature, observations, organizations, organisms, problem-origins, properties. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Code-Defect-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Code-Defect-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ce469765ed13e53e4dae04e49f42dfe0f74acc15 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Code-Defect-Detection/annotation.json @@ -0,0 +1,156 @@ +{ + "task": "Code Defect Detection", + "type": "Code Defect Detection", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "dd095", + "func": "static unsigned get_tiff_value(const uint8_t **pointer, int type, int little_endian)\n{\n switch (type) {\n case TIFF_BYTE:\n return *(*pointer)++;\n case TIFF_SHORT:\n return get_tiff_short(pointer, little_endian);\n case TIFF_LONG:\n return get_tiff_long(pointer, little_endian);\n default:\n return UINT_MAX;\n }\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd065", + "func": "static void curl_multi_do(void *argument)\n{\n BDRVCURLState *state = (BDRVCURLState *)argument;\n int running;\n int result;\n\n if (!state->multi) {\n return;\n }\n\n do {\n result = curl_multi_socket_all(state->multi, &running);\n } while (result == CURLM_CALL_MULTI_PERFORM);\n\n curl_multi_read(state);\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd472", + "func": "static int compare_int64(const void *a, const void *b)\n\n{\n\n int64_t value_a = *(int64_t *)a, value_b = *(int64_t *)b;\n\n return value_a < value_b ? -1 : value_a > value_b ? +1 : 0;\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd014", + "func": "static void pl061_register_devices(void)\n{\n sysbus_register_dev(\"pl061\", sizeof(pl061_state), pl061_init_arm);\n sysbus_register_dev(\"pl061_luminary\", sizeof(pl061_state), pl061_init_luminary);\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd379", + "func": "void qemu_register_reset(QEMUResetHandler *function, void *context)\n\n{\n\n QEMUResetEntry *entry = qemu_mallocz(sizeof(QEMUResetEntry));\n\n\n\n entry->func = function;\n\n entry->opaque = context;\n\n TAILQ_INSERT_TAIL(&reset_handlers, entry, entry);\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd230", + "func": "static int qemu_rdma_get_fd(void *opaque)\n\n{\n\n QEMUFileRDMA *rfile = opaque;\n\n RDMAContext *rdma_context = rfile->rdma;\n\n\n\n return rdma_context->comp_channel->fd;\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd184", + "func": "void cpu_breakpoint_remove_by_ref(CPUState *cpu, CPUBreakpoint *breakpoint)\n{\n#if defined(TARGET_HAS_ICE)\n QTAILQ_REMOVE(&cpu->breakpoints, breakpoint, entry);\n breakpoint_invalidate(cpu, breakpoint->pc);\n g_free(breakpoint);\n#endif\n}", + "output": { + "target": "" + } + }, + { + "id": "dd056", + "func": "int ff_schro_queue_push_back(FFSchroQueue *queue, void *data)\n{\n FFSchroQueueElement *new_element = av_mallocz(sizeof(FFSchroQueueElement));\n\n if (!new_element)\n return -1;\n\n new_element->data = data;\n\n if (!queue->p_head)\n queue->p_head = new_element;\n else\n queue->p_tail->next = new_element;\n\n queue->p_tail = new_element;\n ++queue->size;\n\n return 0;\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd274", + "func": "int pci_drive_hot_add(Monitor *monitor, const QDict *qdict, DriveInfo *drive_info)\n{\n /* On non-x86 platforms, we don't support PCI hotplug */\n monitor_printf(monitor, \"Can't hot-add drive to type %d\\n\", drive_info->type);\n return -1;\n}", + "output": { + "target": "" + } + }, + { + "id": "dd075", + "func": "static int spawn_thread(void)\n{\n pthread_attr_t attr;\n int ret;\n\n cur_threads++;\n idle_threads++;\n\n pthread_attr_init(&attr);\n pthread_attr_setdetachstate(&attr, PTHREAD_CREATE_DETACHED);\n ret = pthread_create(&thread_id, &attr, aio_thread, NULL);\n pthread_attr_destroy(&attr);\n\n return ret;\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd435", + "func": "int qemu_acl_remove(qemu_acl *acl,\n\n const char *match)\n\n{\n\n qemu_acl_entry *entry;\n\n int index = 0;\n\n\n\n TAILQ_FOREACH(entry, &acl->entries, next) {\n\n index++;\n\n if (strcmp(entry->match, match) == 0) {\n\n TAILQ_REMOVE(&acl->entries, entry, next);\n\n return index;\n\n }\n\n }\n\n return -1;\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd264", + "func": "static void free_geotags(TiffContext *const ctx)\n{\n int i;\n for (i = 0; i < ctx->geotag_count; i++) {\n if (ctx->geotags[i].val)\n av_freep(&ctx->geotags[i].val);\n }\n av_freep(&ctx->geotags);\n}", + "output": { + "target": "" + } + }, + { + "id": "dd453", + "func": "static int local_truncate(FsContext *ctx, V9fsPath *path_info, off_t size)\n\n{\n\n char *buffer;\n\n int result;\n\n char *path = path_info->data;\n\n\n\n buffer = rpath(ctx, path);\n\n result = truncate(buffer, size);\n\n g_free(buffer);\n\n return result;\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd035", + "func": "void qemu_cpu_kick(void *env)\n{\n return;\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd372", + "func": "static uint64_t eepro100_read(void *opaque, target_phys_addr_t address,\n\n unsigned size)\n\n{\n\n EEPRO100State *state = opaque;\n\n\n\n switch (size) {\n\n case 1: return eepro100_read1(state, address);\n\n case 2: return eepro100_read2(state, address);\n\n case 4: return eepro100_read4(state, address);\n\n default: abort();\n\n }\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd330", + "func": "void alpha_cpu_unassigned_access(CPUState *cpu_state, hwaddr address,\n bool is_write, bool is_exec, int unused,\n unsigned size)\n{\n AlphaCPU *cpu = ALPHA_CPU(cpu_state);\n CPUAlphaState *env = &cpu->env;\n env->trap_arg0 = address;\n env->trap_arg1 = is_write ? 1 : 0;\n dynamic_excp(env, 0, EXCP_MCHK, 0);\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd339", + "func": "static void enter_migration_coroutine(void *data)\n{\n Coroutine *coroutine = data;\n qemu_coroutine_enter(coroutine, NULL);\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd444", + "func": "static void blockdev_do_action(int action_kind, void *data, Error **errp)\n\n{\n\n TransactionAction action;\n\n TransactionActionList list;\n\n\n\n action.kind = action_kind;\n\n action.data = data;\n\n list.value = &action;\n\n list.next = NULL;\n\n qmp_transaction(&list, errp);\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd412", + "func": "static void bdrv_qed_drain(BlockDriverState *block_state)\n\n{\n\n BDRVQEDState *qed_state = block_state->opaque;\n\n\n\n /* Cancel timer and start doing I/O that were meant to happen as if it\n\n * fired, that way we get bdrv_drain() taking care of the ongoing requests\n\n * correctly. */\n\n qed_cancel_need_check_timer(qed_state);\n\n qed_plug_allocating_write_reqs(qed_state);\n\n bdrv_aio_flush(qed_state->bs, qed_clear_need_check, qed_state);\n\n}\n", + "output": { + "target": "" + } + }, + { + "id": "dd208", + "func": "static void init_gain_table(COOKContext *ctx) {\n\n int index;\n\n ctx->gain_size_factor = ctx->samples_per_channel / 8;\n\n for (index = 0; index < 23; index++) {\n\n ctx->gain_table[index] = pow((double)ctx->pow2tab[index + 52],\n\n (1.0 / (double)ctx->gain_size_factor));\n\n }\n\n memset(&ctx->gain_copy, 0, sizeof(COOKgain));\n\n memset(&ctx->gain_current, 0, sizeof(COOKgain));\n\n memset(&ctx->gain_now, 0, sizeof(COOKgain));\n\n memset(&ctx->gain_previous, 0, sizeof(COOKgain));\n\n}\n", + "output": { + "target": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Code-Explanation/annotation.json b/Scope-A/S-A-Quick/nlp/Code-Explanation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..64a1ad4a657ddc7afe39ab6f87c6cc23a154a857 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Code-Explanation/annotation.json @@ -0,0 +1,226 @@ +{ + "task": "Code Explanation", + "type": "Code Explanation", + "version": "1.0", + "data": [ + { + "id": "ce205", + "code": "void setCity(String cityName) { this.city = cityName; }", + "output": { + "nl": "" + } + }, + { + "id": "ce314", + "code": "Set function() { Set contexts = getContexts(); return contexts == null ? Collections.unmodifiableSet(new HashSet()) : contexts; }", + "output": { + "nl": "" + } + }, + { + "id": "ce167", + "code": "int compareProtocolVersion(ProtocolVersion otherVersion) { Args.notNull(otherVersion, \"srini_string\"); Args.check(this.protocol.equals(otherVersion.protocol), \"srini_string\", this, otherVersion); int majorDifference = getMajor() - otherVersion.getMajor(); if (majorDifference == 0) { majorDifference = getMinor() - otherVersion.getMinor(); } return majorDifference; }", + "output": { + "nl": "" + } + }, + { + "id": "ce491", + "code": "boolean isTwoSidedGB ( int arg0 , List < GenSolvablePolynomial < C >> polynomials ) { return sbb . isTwosidedGB ( arg0 , polynomials ) ; }", + "output": { + "nl": "" + } + }, + { + "id": "ce054", + "code": "void function (KademliaOverlayKey key, OperationCallback callback) { KademliaOperation operation = myNode.getOperationFactory().getDataLookupOperation(key, callback); operation.scheduleImmediately(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce441", + "code": "void startSynchronizing(Context context, SynchronizerDelegate delegate) { this.synchronizerDelegate = delegate; this.session = createSynchronizerSession(); this.session.init(context, bundleA, bundleB); }", + "output": { + "nl": "" + } + }, + { + "id": "ce317", + "code": "GenMatrix function() { ArrayList> matrixCopy = new ArrayList<>(ring.rows); for (ArrayList row : matrix) { ArrayList negRow = new ArrayList<>(ring.cols); for (C element : row) { negRow.add(element.negate()); } matrixCopy.add(negRow); } return new GenMatrix<>(ring, matrixCopy); }", + "output": { + "nl": "" + } + }, + { + "id": "ce009", + "code": "Integer getFractionalSecondPrecision() { return intervalQualifier == null ? null : intervalQualifier.getFractionalSecondPrecisionPreservingDefault(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce193", + "code": "void removeElement() { getListIterator().remove(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce449", + "code": "Iterator wrapFloatIterator(FloatIterator iterator) { return (iterator == null) ? null : new FloatIteratorIterator(iterator); }", + "output": { + "nl": "" + } + }, + { + "id": "ce200", + "code": "void resetGrid(int size) { grid = new int[size][size]; }", + "output": { + "nl": "" + } + }, + { + "id": "ce320", + "code": "boolean function(final HttpCacheEntry entry, final Date currentDate, final float factor, final long maxAge) { return getCurrentAgeSecs(entry, currentDate) < getHeuristicFreshnessLifetimeSecs(entry, factor, maxAge); }", + "output": { + "nl": "" + } + }, + { + "id": "ce060", + "code": "GenVector function () { return ZERO; }", + "output": { + "nl": "" + } + }, + { + "id": "ce348", + "code": "void function ( final String ... args ) { fileLoggerModule . printString ( \"srini_string\" ) ; fileLoggerModule . printErrorString ( \"srini_string\" ) ; consoleLoggerModule . printString ( \"srini_string\" ) ; consoleLoggerModule . printErrorString ( \"srini_string\" ) ; }", + "output": { + "nl": "" + } + }, + { + "id": "ce404", + "code": "boolean isRingAssociative() { return ring.isAssociative(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce025", + "code": "void function() { int firstIndex = rand.nextInt(size); int secondIndex = rand.nextInt(size); log.debug(\"srini_string\" + Simulator.getCurrentTime() + \"srini_string\" + firstIndex + \"srini_string\" + secondIndex); keyPopularity.add(secondIndex, keyPopularity.remove(firstIndex)); getKeyForLookup(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce087", + "code": "Parser setParserForClass ( Class clazz, Parser newParser ) { Parser oldParser = parsers.get(clazz); parsers.put(clazz, newParser); return oldParser; }", + "output": { + "nl": "" + } + }, + { + "id": "ce247", + "code": "String function(final String input) { String upper = input.toUpperCase(); String result = MAP.get(upper); if (result == null) result = input; return result; }", + "output": { + "nl": "" + } + }, + { + "id": "ce040", + "code": "Local createLocal() { return new Local(ring, num.abs(), den, true); }", + "output": { + "nl": "" + } + }, + { + "id": "ce401", + "code": "E getRandomCollectionEntry(Collection collection) { if (collection instanceof List) return getRandomEntry((List) collection); if (collection.size() == 0) return null; int randomIndex = Simulator.getRandom().nextInt(collection.size()); for (E entry : collection) { if (randomIndex <= 0) return entry; randomIndex--; } return null; }", + "output": { + "nl": "" + } + }, + { + "id": "ce267", + "code": "void function (final Collection collection) { for (final K key : collection) { put(key, null); } }", + "output": { + "nl": "" + } + }, + { + "id": "ce093", + "code": "CashAccount16 createCashAccount ( String iban ) { CashAccount16 account = new CashAccount16(); AccountIdentification4Choice id = new AccountIdentification4Choice(); id.setIBAN(iban); account.setId(id); return account; }", + "output": { + "nl": "" + } + }, + { + "id": "ce433", + "code": "void function ( final ClassContainer arg0 ) { LOGGER.debug(\"srini_string\"); arg0.addClasses(JBossPDPServiceBean.class, XACMLTestUtils.class); }", + "output": { + "nl": "" + } + }, + { + "id": "ce460", + "code": "boolean function( long arg0 ) { return timespan <= arg0 - startTime; }", + "output": { + "nl": "" + } + }, + { + "id": "ce456", + "code": "void writeToFile(File file, String content) { write(file, content, false); }", + "output": { + "nl": "" + } + }, + { + "id": "ce215", + "code": "Map < String , ByteBuffer > getRequestMeta ( ) { if ( requestCallMeta == null ) { requestCallMeta = new HashMap < String , ByteBuffer > ( ) ; } return requestCallMeta ; }", + "output": { + "nl": "" + } + }, + { + "id": "ce043", + "code": "ProvidedPortID createProvidedPortID() { return new ProvidedPortID(); }", + "output": { + "nl": "" + } + }, + { + "id": "ce088", + "code": "List unmodifiableListFromCollection ( Collection collection ) { return Collections.unmodifiableList(new ArrayList(collection)); }", + "output": { + "nl": "" + } + }, + { + "id": "ce182", + "code": "String generateVariableString(int index) { if (index < 0) { return variable(-index); } if (index > N) { return \"srini_string\"; } return var + index; }", + "output": { + "nl": "" + } + }, + { + "id": "ce016", + "code": "Transformer[] copyTransformers(Transformer[] transformers) { if (transformers == null) { return null; } return (Transformer[]) transformers.clone(); }", + "output": { + "nl": "" + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Code-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Code-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8a3db5e0cad3f861bd8edd3bedf779eeb9769c83 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Code-Generation/annotation.json @@ -0,0 +1,656 @@ +{ + "task": "Code Generation", + "type": "Code Generation", + "version": "1.0", + "data": [ + { + "id": "cg305", + "language": "python", + "goal": "Write a function to match two words in a string, both starting with the letter 'p', from a list of strings.", + "context": [ + { + "type": "description", + "content": "This function takes a list of strings and finds the first pair of words in any string that start with the letter 'p'. The function will return these two words if found." + }, + { + "type": "example", + "content": [ + { + "input": "[\"Python PHP\", \"Java JavaScript\", \"c c++\"]", + "output": "('Python', 'PHP')" + }, + { + "input": "[\"Python Programming\",\"Java Programming\"]", + "output": "('Python', 'Programming')" + }, + { + "input": "[\"Pqrst Pqr\",\"qrstuv\"]", + "output": "('Pqrst', 'Pqr')" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg140", + "language": "python", + "goal": "Write a function to replace all occurrences of hyphens, exclamation marks, or semicolons with a pipe (|) in the given string by using regex.", + "context": [ + { + "type": "description", + "content": "This function should replace all hyphens, exclamation marks, and semicolons in a string with a pipe (|) using regex." + }, + { + "type": "example", + "content": [ + { + "input": "fill_hyphen_spaces('Hello-World! How are you?')", + "output": "Hello|World| How are you?" + }, + { + "input": "fill_hyphen_spaces('Python; Rocks-!')", + "output": "Python| Rocks|!" + }, + { + "input": "fill_hyphen_spaces('OpenAI-! Is Awesome!')", + "output": "OpenAI| Is Awesome|" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg333", + "language": "python", + "goal": "Write a python function to sort a list according to the first element in each sublist.", + "context": [ + { + "type": "description", + "content": "This function should sort a list based on the first element of each sublist." + }, + { + "type": "example", + "content": [ + { + "input": "[['a', 10], ['b', 5], ['c', 20], ['d', 15]]", + "output": "[['a', 10], ['b', 5], ['c', 20], ['d', 15]]" + }, + { + "input": "[['452', 10], ['256', 5], ['100', 20], ['135', 15]]", + "output": "[['100', 20], ['135', 15], ['256', 5], ['452', 10]]" + }, + { + "input": "[['rishi', 10], ['akhil', 5], ['ramya', 20], ['gaur', 15]]", + "output": "[['akhil', 5], ['gaur', 15], ['rishi', 10], ['ramya', 20]]" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg102", + "language": "python", + "goal": "Write a function to return the sum of squares of the first n positive integers.", + "context": [ + { + "type": "description", + "content": "The function takes a positive integer n and returns the sum of squares of the first n integers." + }, + { + "type": "example", + "content": [ + { + "input": "3", + "output": "14" + }, + { + "input": "5", + "output": "55" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg399", + "language": "python", + "goal": "Write a function to perform the element-wise bitwise AND operation across two given tuples.", + "context": [ + { + "type": "description", + "content": "This function takes two tuples and performs the bitwise AND operation on corresponding elements. The result should be returned as a tuple containing the results of each operation." + }, + { + "type": "example", + "content": [ + { + "input": "bitwise_and((10, 4, 6, 9), (5, 2, 3, 3))", + "output": "(0, 0, 2, 1)" + }, + { + "input": "bitwise_and((11, 5, 7, 10), (6, 3, 4, 4))", + "output": "(2, 1, 4, 0)" + }, + { + "input": "bitwise_and((12, 6, 8, 11), (7, 4, 5, 6))", + "output": "(4, 4, 4, 6)" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg189", + "language": "python", + "goal": "Write a python function to calculate the sum of digits in the factorial of a number.", + "context": [ + { + "type": "description", + "content": "The function takes a number as input, calculates its factorial, and then returns the sum of the digits in the factorial." + }, + { + "type": "example", + "content": [ + { + "input": "5", + "output": "3" + }, + { + "input": "10", + "output": "27" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg383", + "language": "python", + "goal": "Write a python function to toggle all even bits of a given number.", + "context": [ + { + "type": "description", + "content": "This function toggles all even bits of a given number, changing them from 1 to 0 or from 0 to 1." + }, + { + "type": "example", + "content": [ + { + "input": "15", + "output": "10" + }, + { + "input": "32", + "output": "34" + }, + { + "input": "50", + "output": "51" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg457", + "language": "python", + "goal": "Write a python function to find the sublist having the maximum length.", + "context": [ + { + "type": "description", + "content": "This function finds the sublist with the maximum length from a given list of lists." + }, + { + "type": "example", + "content": [ + { + "input": "Find_Max([[1], [1, 2], [1, 2, 3]])", + "output": "[1, 2, 3]" + }, + { + "input": "Find_Max([[1, 1], [1, 1, 1], [1, 2, 7, 8]])", + "output": "[1, 2, 7, 8]" + }, + { + "input": "Find_Max([['x'], ['x', 'y'], ['x', 'y', 'z']])", + "output": "['x', 'y', 'z']" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg055", + "language": "python", + "goal": "Write a function that checks if a string has balanced parentheses.", + "context": [ + { + "type": "description", + "content": "The function checks if every opening parenthesis '(' has a corresponding closing parenthesis ')'. Return True if they are balanced; otherwise, return False." + }, + { + "type": "example", + "content": [ + { + "input": "'()()()'", + "output": "True" + }, + { + "input": "'(()('", + "output": "False" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg218", + "language": "python", + "goal": "Write a python function to find the minimum number of operations to make two numbers equal.", + "context": [ + { + "type": "description", + "content": "This function calculates the minimum number of operations needed to make two numbers equal. In each operation, you can either add, subtract, or multiply one of the numbers. The goal is to make the two numbers the same with the least number of operations." + }, + { + "type": "example", + "content": [ + { + "input": "2, 4", + "output": "2" + }, + { + "input": "4, 10", + "output": "3" + }, + { + "input": "1, 5", + "output": "4" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg405", + "language": "python", + "goal": "Write a function to check whether a given element is present in a list.", + "context": [ + { + "type": "description", + "content": "This function checks whether a given element exists within a list. It returns True if the element is present, otherwise False." + }, + { + "type": "example", + "content": [ + { + "input": "check_in_list([1, 2, 3, 4, 5], 3)", + "output": "True" + }, + { + "input": "check_in_list([10, 20, 30, 40, 50], 60)", + "output": "False" + }, + { + "input": "check_in_list(['apple', 'banana', 'cherry'], 'banana')", + "output": "True" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg331", + "language": "python", + "goal": "Write a python function to count the set bits (1's) in the binary representation of a given number.", + "context": [ + { + "type": "description", + "content": "This function counts how many set bits (1's) are in the binary representation of the given number." + }, + { + "type": "example", + "content": [ + { + "input": "2", + "output": "1" + }, + { + "input": "4", + "output": "1" + }, + { + "input": "7", + "output": "3" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg033", + "language": "python", + "goal": "Write a function that sorts the elements at every third index of a list, keeping other elements in the same order.", + "context": [ + { + "type": "description", + "content": "Given a list, sort the elements at indices divisible by 3, while keeping other elements in the same order." + }, + { + "type": "example", + "content": [ + { + "input": "[10, 20, 30, 40, 50, 60, 70]", + "output": "[10, 20, 30, 40, 50, 60, 70]" + }, + { + "input": "[5, 8, 7, 2, 1, 4]", + "output": "[2, 8, 7, 4, 1, 5]" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg175", + "language": "python", + "goal": "Write a python function to count all the substrings where the first and last characters are different.", + "context": [ + { + "type": "description", + "content": "The function takes a string as input and returns the count of all substrings where the first and last characters are different." + }, + { + "type": "example", + "content": [ + { + "input": "'abc'", + "output": "2" + }, + { + "input": "'abcda'", + "output": "10" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg011", + "language": "python", + "goal": "Write a function that performs bitwise AND on two binary strings and returns the result as a binary string.", + "context": [ + { + "type": "description", + "content": "You are given two binary strings `a` and `b`. Perform bitwise AND on these two binary strings and return the result as a binary string." + }, + { + "type": "example", + "content": [ + { + "input": "'1010', '1101'", + "output": "'1000'" + }, + { + "input": "'1110', '1011'", + "output": "'1010'" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg244", + "language": "python", + "goal": "Write a function to find the next perfect cube greater than a given number.", + "context": [ + { + "type": "description", + "content": "This function should return the smallest perfect cube that is strictly greater than the given number." + }, + { + "type": "example", + "content": [ + { + "input": "35", + "output": "64" + }, + { + "input": "6", + "output": "8" + }, + { + "input": "9", + "output": "27" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg139", + "language": "python", + "goal": "Write a function to merge two sorted lists into one sorted list.", + "context": [ + { + "type": "description", + "content": "The function takes two sorted lists as input and merges them into a single sorted list, maintaining the order." + }, + { + "type": "example", + "content": [ + { + "input": "[1, 3, 5], [2, 4, 6]", + "output": "[1, 2, 3, 4, 5, 6]" + }, + { + "input": "[1, 4, 7], [2, 3, 5]", + "output": "[1, 2, 3, 4, 5, 7]" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg169", + "language": "python", + "goal": "Write a function to check if a given array of integers contains any negative numbers.", + "context": [ + { + "type": "description", + "content": "The function takes an array of integers and returns True if it contains any negative number, otherwise it returns False." + }, + { + "type": "example", + "content": [ + { + "input": "[1, 2, 3, 4, 5]", + "output": "False" + }, + { + "input": "[1, -2, 3, 4, 5]", + "output": "True" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg035", + "language": "python", + "goal": "Write a function that returns the smallest element in the given list.", + "context": [ + { + "type": "description", + "content": "Given a list of integers, return the smallest element in the list." + }, + { + "type": "example", + "content": [ + { + "input": "[1, 2, 3]", + "output": "1" + }, + { + "input": "[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]", + "output": "-10" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + }, + { + "id": "cg104", + "language": "python", + "goal": "Write a function to reverse a given string.", + "context": [ + { + "type": "description", + "content": "The function takes a string and returns it reversed." + }, + { + "type": "example", + "content": [ + { + "input": "'hello'", + "output": "'olleh'" + }, + { + "input": "'world'", + "output": "'dlrow'" + } + ] + } + ], + "output": { + "response": { + "type": "", + "content": "" + } + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Code-Repair/annotation.json b/Scope-A/S-A-Quick/nlp/Code-Repair/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c07fe9855298a4907a5f5988d871a00faa058d95 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Code-Repair/annotation.json @@ -0,0 +1,116 @@ +{ + "task": "Code Repair", + "type": "Code Repair", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "cr484", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "protected void METHOD_1(String result) {\n System.out.println(result);\n VAR_1.METHOD_2(result);\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr258", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "private void METHOD_1(TYPE_1 VAR_1) {\n TYPE_2 VAR_2 = VAR_1.METHOD_2();\n if (VAR_2 != null) {\n TYPE_3.METHOD_1(VAR_3, VAR_2, VAR_4);\n }\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr141", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1() {\n METHOD_2();\n TYPE_1 VAR_1 = TYPE_2.METHOD_3(VAR_2);\n VAR_1.METHOD_4(this);\n VAR_2 = null;\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr126", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public String METHOD_1() {\n if (TYPE_1.METHOD_2(VAR_1)) {\n return VAR_2;\n }\n return VAR_1;\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr488", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1() {\n TYPE_1 VAR_1 = VAR_2.METHOD_2().METHOD_3();\n TYPE_2.info(VAR_3, STRING_1);\n if (!(VAR_1.METHOD_4(this))) {\n TYPE_2.info(VAR_3, STRING_2);\n }\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr289", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1(TYPE_1 VAR_1) {\n TYPE_2.METHOD_2(STRING_1, STRING_2);\n TYPE_3.METHOD_3(VAR_1);\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr135", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "void METHOD_1() {\n if (TYPE_1.METHOD_2() > INT_1) {\n VAR_1 = true;\n }\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr427", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1(TYPE_1 VAR_1, boolean VAR_2) {\n VAR_3.METHOD_2(VAR_1.getType()).METHOD_3(VAR_1, VAR_2);\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr278", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1() {\n super.METHOD_1();\n METHOD_2();\n android.content.Intent intent = new android.content.Intent(this, VAR_1.class);\n METHOD_3(intent);\n METHOD_4();\n}" + }, + "output": { + "repairCode": "" + } + }, + { + "id": "cr323", + "input": { + "prompt": "The goal of code refinement is to automatically correct bugs within a code, significantly reducing the time and effort required for developers to manually address these issues. You are presented with a Java code snippet that contains bugs. Your task is to identify these errors, correct them, and produce the refined code. Please examine and refine the following function or class: ", + "sourceCode": "public void METHOD_1(int VAR_1) {\n if (VAR_1 >= 0 && VAR_1 < VAR_2.length()) {\n VAR_3 = VAR_1;\n }\n}" + }, + "output": { + "repairCode": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Code-Switching-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Code-Switching-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..82810b211b675988a6234d222d140a43cdd9e344 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Code-Switching-Question-Answering/annotation.json @@ -0,0 +1,465 @@ +{ + "task": "Code-Switching Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "CE232", + "output": { + "answer": "" + }, + "input": { + "question": "\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\uff0c\u8fd0\u52a8\u5bf9\u6211\u4eec\u7684_____\u5065\u5eb7\u6709\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002", + "options": [ + "salute", + "cibo", + "sonno", + "mente" + ] + } + }, + { + "id": "CE197", + "output": { + "answer": "" + }, + "input": { + "question": "Qual \u00e8 l'importanza della privacy personale nel contesto storico moderno? \u00c8 stato un tema di discussione tra gli _________ e i filosofi.", + "options": [ + "scrittori", + "artisti", + "politici", + "storici" + ] + } + }, + { + "id": "CE190", + "output": { + "answer": "" + }, + "input": { + "question": "Quel est le r\u00f4le de la \u4e2d\u6587 dans le processus de planification urbaine?", + "options": [ + "faciliter la communication interculturelle", + "d\u00e9velopper des logiciels de mod\u00e9lisation", + "organiser des \u00e9v\u00e9nements communautaires", + "construire des infrastructures routi\u00e8res" + ] + } + }, + { + "id": "CE031", + "output": { + "answer": "" + }, + "input": { + "question": "Was ist die h\u00e4ufigste Art von Cyberangriff auf Unternehmen? \u601d\u3046\u3088\u308a\u3082\u7c21\u5358\u3067\u3059\u304b\uff1f", + "options": [ + "Malware", + "Phishing", + "Denial-of-Service-Angriffe", + "Social Engineering" + ] + } + }, + { + "id": "CE320", + "output": { + "answer": "" + }, + "input": { + "question": "Quelle est l'importance de la s\u00e9curit\u00e9 en ligne pour les amateurs de \u7f8e\u98df?", + "options": [ + "Savoir prot\u00e9ger ses donn\u00e9es personnelles", + "D\u00e9couvrir de nouvelles recettes", + "Partager des photos de plats d\u00e9licieux", + "Apprendre \u00e0 cuisiner comme un chef" + ] + } + }, + { + "id": "CE294", + "output": { + "answer": "" + }, + "input": { + "question": "\u600e\u6837\u624d\u80fd\u8ba9\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5173\u6ce8environmental protection?", + "options": [ + "\u89c2\u770b\u76f8\u5173\u7eaa\u5f55\u7247", + "take part in clean-up activities", + "\u901a\u8fc7\u9605\u8bfb\u4e66\u7c4d\u5b66\u4e60", + "\u53c2\u52a0\u5fd7\u613f\u8005\u6d3b\u52a8" + ] + } + }, + { + "id": "CE441", + "output": { + "answer": "" + }, + "input": { + "question": "What is the impact of inquinamento on the entertainment industry?", + "options": [ + "Decreased air quality for outdoor events", + "Increased funding for eco-friendly film productions", + "Rising popularity of plastic props in movies", + "More sustainable lighting options for concerts" + ] + } + }, + { + "id": "CE077", + "output": { + "answer": "" + }, + "input": { + "question": "Quel est l'importance de l'arte dans la planification urbaine?", + "options": [ + "Cr\u00e9er une atmosph\u00e8re unique dans la ville", + "Augmenter la densit\u00e9 de population", + "Am\u00e9liorer les infrastructures routi\u00e8res", + "R\u00e9duire les co\u00fbts de construction" + ] + } + }, + { + "id": "CE028", + "output": { + "answer": "" + }, + "input": { + "question": "Was ist die Bedeutung von 'artiste' in der Kunstwelt?", + "options": [ + "K\u00fcnstler", + "Maler", + "Sculpteur", + "Designer" + ] + } + }, + { + "id": "CE414", + "output": { + "answer": "" + }, + "input": { + "question": "Qual \u00e8 l'importanza della urbanisme nella pianificazione urbana?", + "options": [ + "Miglioramento della qualit\u00e0 della vita", + "Aumento dei costi di costruzione", + "Riduzione della densit\u00e0 abitativa", + "Limitazione delle aree verdi" + ] + } + }, + { + "id": "CE240", + "output": { + "answer": "" + }, + "input": { + "question": "\u5728\u57ce\u5e02\u89c4\u5212\u4e2d\uff0c_____\u7684\u5408\u7406\u5e03\u5c40\u5bf9\u4e8e\u63d0\u9ad8\u5c45\u6c11\u751f\u6d3b\u8d28\u91cf\u81f3\u5173\u91cd\u8981\u3002", + "options": [ + "\u5efa\u7b51", + "planification", + "\u7eff\u5316", + "\u9053\u8def" + ] + } + }, + { + "id": "CE301", + "output": { + "answer": "" + }, + "input": { + "question": "\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e__________\u306f\u3001\u4f1a\u793e\u306e\u6a5f\u5bc6\u60c5\u5831\u3092\u5b88\u308b\u305f\u3081\u306b\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002", + "options": [ + "\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5bfe\u7b56", + "\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u8a2d\u8a08", + "\u30c7\u30fc\u30bf\u5206\u6790", + "\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0" + ] + } + }, + { + "id": "CE314", + "output": { + "answer": "" + }, + "input": { + "question": "Qual \u00e8 il modo migliore per ridurre l'inquinamento atmosferico durante un concerto all'aperto? Utilizzare luci LED anzich\u00e9 luci tradizionali, pannelli solari per l'alimentazione degli strumenti musicali o incoraggiare il pubblico \u00e0 apportare i propri bicchieri riutilizzabili?", + "options": [ + "Utilizzare luci LED anzich\u00e9 luci tradizionali", + "Pannelli solari per l'alimentazione degli strumenti musicali", + "Incoraggiare il pubblico \u00e0 apportare i propri bicchieri riutilizzabili", + "Tutte le risposte precedenti" + ] + } + }, + { + "id": "CE040", + "output": { + "answer": "" + }, + "input": { + "question": "Was ist der Hauptvorteil von regelm\u00e4\u00dfiger attivit\u00e0 fisica f\u00fcr die k\u00f6rperliche Gesundheit?", + "options": [ + "Steigerung der Ausdauer", + "Verbesserung der Konzentration", + "Reduzierung des Stresslevels", + "Erh\u00f6hung des K\u00f6rpergewichts" + ] + } + }, + { + "id": "CE186", + "output": { + "answer": "" + }, + "input": { + "question": "\u5728\u57ce\u5e02\u89c4\u5212\u4e2d\uff0c______ \u662f\u6307\u4e3a\u4e86\u6539\u5584\u57ce\u5e02\u5c45\u6c11\u7684\u751f\u6d3b\u8d28\u91cf\u800c\u89c4\u5212\u7684\u516c\u5171\u4f11\u95f2\u7a7a\u95f4\u3002", + "options": [ + "parco", + "ponte", + "mercato", + "strada" + ] + } + }, + { + "id": "CE125", + "output": { + "answer": "" + }, + "input": { + "question": "Quelle est la caract\u00e9ristique la plus importante de la ville \u65e5\u672c moderne en termes de planification urbaine?", + "options": [ + "densit\u00e9 de population", + "taille des parcs publics", + "nombre de gratte-ciel", + "distance par rapport \u00e0 la mer" + ] + } + }, + { + "id": "CE162", + "output": { + "answer": "" + }, + "input": { + "question": "Quelle est la signification du mot \u4e2d\u9910 dans la cuisine fran\u00e7aise?", + "options": [ + "cuisine chinoise", + "cuisine italienne", + "cuisine japonaise", + "cuisine mexicaine" + ] + } + }, + { + "id": "CE361", + "output": { + "answer": "" + }, + "input": { + "question": "Quels sont les effets de la pollution atmosph\u00e9rique sur la sant\u00e9 humaine et l'environnement? Pouvez-vous expliquer comment la pollution peut impact notre quotidien?", + "options": [ + "Augmentation des maladies respiratoires, destruction de la couche d'ozone, acidification des sols, perte de biodiversit\u00e9", + "Augmentation des maladies cardiaques, \u00e9puisement des ressources naturelles, r\u00e9chauffement climatique, disparition des esp\u00e8ces", + "Augmentation des allergies, contamination des eaux, d\u00e9gradation des \u00e9cosyst\u00e8mes, augmentation des catastrophes naturelles", + "Augmentation des cancers, d\u00e9forestation, augmentation des mar\u00e9es noires, perturbation des cycles naturels" + ] + } + }, + { + "id": "CE036", + "output": { + "answer": "" + }, + "input": { + "question": "Quel est l'impact de la technologie sur la planification urbaine de nos \u90fd\u5e02?", + "options": [ + "Augmente l'efficacit\u00e9 des transports publics", + "R\u00e9duit la densit\u00e9 de population", + "Encourage l'utilisation excessive de voitures", + "Cr\u00e9e des espaces verts inutiles" + ] + } + }, + { + "id": "CE413", + "output": { + "answer": "" + }, + "input": { + "question": "Quelle est l'importance de la protection de la ________ dans l'histoire de l'\u00e9ducation?", + "options": [ + "vie priv\u00e9e", + "individu priv\u00e9", + "datenschutz", + "confidentialit\u00e9 personnelle" + ] + } + }, + { + "id": "CE425", + "output": { + "answer": "" + }, + "input": { + "question": "\u5728\u5a31\u4e50\u5708\u4e2d\uff0c\u827a\u4eba\u7684\u4e2a\u4eba\u9690\u79c1\u4fdd\u62a4\u975e\u5e38\u91cd\u8981\uff0c\u4f46\u6709\u65f6\u5019\u5a92\u4f53\u4f1a\u8fc7\u5ea6\u62a5\u9053\u4ed6\u4eec\u7684\u79c1\u751f\u6d3b\u3002\u4f60\u77e5\u9053\u5fb7\u6587\u4e2d\u201c\u79c1\u751f\u6d3b\u201d\u662f\u4ec0\u4e48\u5417\uff1f", + "options": [ + "Leben", + "Privatsph\u00e4re", + "Kunst", + "Beruf" + ] + } + }, + { + "id": "CE304", + "output": { + "answer": "" + }, + "input": { + "question": "What is the importance of personal privacy in the entertainment industry?", + "options": [ + "Respect for individual rights", + "Protection of confidential information", + "Maintaining professional boundaries", + "Respecting the privacy of others" + ] + } + }, + { + "id": "CE385", + "output": { + "answer": "" + }, + "input": { + "question": "\u6700\u8fd1\uff0c\u5b66\u6821\u5f00\u59cb\u4f7f\u7528\u65b0\u7684\u4fdd\u62a4\u653f\u7b56\u6765\u4fdd\u969c\u5b66\u751f\u7684\u4e2a\u4eba\u9690\u79c1\u3002\u8bf7\u95ee\u8fd9\u4e9b\u9690\u79c1\u653f\u7b56\u4e3b\u8981\u662f\u4e3a\u4e86\u4fdd\u62a4\u5b66\u751f\u7684\u4ec0\u4e48\uff1f", + "options": [ + "\u5b66\u4e60\u6210\u7ee9", + "\u5065\u5eb7\u72b6\u51b5", + "\u793e\u4ea4\u6d3b\u52a8", + "\u5bb6\u5ead\u80cc\u666f" + ] + } + }, + { + "id": "CE273", + "output": { + "answer": "" + }, + "input": { + "question": "\u5728\u5546\u52a1\u9886\u57df\uff0c\u4e3a\u4e86\u4fdd\u62a4\u516c\u53f8\u6570\u636e\u7684\u5b89\u5168\uff0c\u5458\u5de5\u9700\u8981\u5b9a\u671f\u66f4\u65b0\u5bc6\u7801\u5e76\u786e\u4fdd\u5bc6\u7801\u7684\u590d\u6742\u6027\uff0c\u540c\u65f6\u4f7f\u7528______\u8f6f\u4ef6\u6765\u9632\u8303\u7f51\u7edc\u653b\u51fb\u3002", + "options": [ + "\u9632\u706b\u5899", + "\u52a0\u5bc6", + "\u53cd\u75c5\u6bd2", + "VPN" + ] + } + }, + { + "id": "CE121", + "output": { + "answer": "" + }, + "input": { + "question": "\u74b0\u5883\u4fdd\u8b77\u5728\u5fb7\u56fd\uff08Deutschland\uff09\u5386\u53f2\u4e0a\u626e\u6f14\u7740\u91cd\u8981\u7684\u4ec0\u4e48\u89d2\u8272\uff1f", + "options": [ + "\u4fc3\u8fdb\u7ecf\u6d4e\u53d1\u5c55", + "\u7ef4\u62a4\u793e\u4f1a\u7a33\u5b9a", + "\u4fdd\u62a4\u81ea\u7136\u8d44\u6e90", + "\u589e\u8fdb\u6587\u5316\u4ea4\u6d41" + ] + } + }, + { + "id": "CE270", + "output": { + "answer": "" + }, + "input": { + "question": "Comment la technologie peut-elle aider \u00e0 r\u00e9duire les \u00e9missions de gaz \u00e0 effet de serre et prot\u00e9ger notre environnement? Utilisez le mot allemand 'Umwelt' dans votre r\u00e9ponse.", + "options": [ + "En d\u00e9veloppant des voitures \u00e9lectriques pour r\u00e9duire la pollution atmosph\u00e9rique", + "En construisant des \u00e9oliennes pour produire de l'\u00e9nergie renouvelable", + "En utilisant des drones pour surveiller la d\u00e9forestation", + "En cr\u00e9ant des applications pour sensibiliser \u00e0 la protection de l'Umwelt" + ] + } + }, + { + "id": "CE399", + "output": { + "answer": "" + }, + "input": { + "question": "\u4ec0\u4e48\u662f\u73af\u4fdd\u7684\u76ee\u7684\uff1f\u4fdd\u62a4\u73af\u5883\uff0c\u51cf\u5c11\u8d44\u6e90\u6d88\u8017\uff0c\u4fdd\u62a4\u751f\u6001\u7cfb\u7edf\u548c\u751f\u7269\u591a\u6837\u6027\u3002", + "options": [ + "\u4fdd\u62a4\u751f\u6001\u7cfb\u7edf\u548c\u751f\u7269\u591a\u6837\u6027", + "\u51cf\u5c11\u8d44\u6e90\u6d88\u8017", + "\u63d0\u9ad8\u7ecf\u6d4e\u6548\u76ca", + "\u589e\u52a0\u73af\u5883\u6c61\u67d3" + ] + } + }, + { + "id": "CE203", + "output": { + "answer": "" + }, + "input": { + "question": "What is the main concern when it comes to personal privacy in the field of technology?", + "options": [ + "Data protection", + "Cybersecurity measures", + "Privacy policies", + "User authentication" + ] + } + }, + { + "id": "CE369", + "output": { + "answer": "" + }, + "input": { + "question": "Quel est le nom chinois de l'ancienne cit\u00e9 romaine construite il y a plus de 2000 ans \u00e0 Paris?", + "options": [ + "Lut\u00e8ce", + "Villefort", + "Parisois", + "Romaville" + ] + } + }, + { + "id": "CE045", + "output": { + "answer": "" + }, + "input": { + "question": "\u5982\u4f55\u5229\u7528\u6280\u672f\u6765\u76d1\u6d4b\u548c\u6539\u5584\u6211\u4eec\u7684\u8fd0\u52a8\u6c34\u5e73?", + "options": [ + "\u4f7f\u7528\u667a\u80fd\u624b\u8868", + "Utilizzare il GPS", + "\u8fdb\u884c\u5fc3\u7387\u76d1\u6d4b", + "\u4f7f\u7528\u865a\u62df\u73b0\u5b9e\u6280\u672f" + ] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Commonsense-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Commonsense-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8dc8d6d1f9346b78f6ced46facb06c0d72a4c420 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Commonsense-Reasoning/annotation.json @@ -0,0 +1,496 @@ +{ + "task": "Commonsense Reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "cr230", + "input": { + "question": "John and Joe enjoy playing games but Joe was struck by a ball and fell down. What might have occurred to Joe?", + "options": [ + "anger", + "good natured ribbing.", + "enjoying", + "injury", + "enjoyment" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr307", + "input": { + "question": "Kissing is typically an activity reserved for your romantic what?", + "options": [ + "anus", + "partner", + "arousal", + "trust", + "cooperation" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr366", + "input": { + "question": "What type of geographic area will you find a marmot?", + "options": [ + "mountainous area", + "wood pile", + "jungle", + "petting zoo", + "animals" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr334", + "input": { + "question": "What might I place under the furniture?", + "options": [ + "rug", + "room", + "toy", + "friend's house", + "building" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr090", + "input": { + "question": "What would encourage someone to continue playing tennis?", + "options": [ + "becoming tired", + "tennis elbow", + "exercise", + "hunger", + "victory" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr211", + "input": { + "question": "Dad wanted to conceal the check in his office, where did he place it?", + "options": [ + "cash register", + "desk drawer", + "fish tank", + "bank", + "pay envelope" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr468", + "input": { + "question": "The pencil sharpener was broken in the classroom, where did the teacher recommend the student go?", + "options": [ + "home", + "library", + "stationery store", + "cabinet", + "desk drawer" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr313", + "input": { + "question": "What will a person typically do at their job?", + "options": [ + "cross street", + "draw attention to themselves", + "make money", + "falling down", + "come home" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr119", + "input": { + "question": "Jan tested the current and noticed it was high. He thought the wires might have too much what?", + "options": [ + "later", + "updated", + "still", + "resistance", + "now" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr218", + "input": { + "question": "The man flew his airplane over the city and observed pollution visibly in the sky, what was contaminated?", + "options": [ + "forest", + "street", + "air", + "caused by humans", + "car show" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr140", + "input": { + "question": "The extremely large cargo plane could only land at a specialized runway, these were only located at a what?", + "options": [ + "back yard", + "bowling alley", + "city", + "military base", + "fashion show" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr228", + "input": { + "question": "When a person acknowledges his mistakes, what are they doing?", + "options": [ + "accident", + "learn to swim", + "thank god", + "feel relieved", + "act responsibly" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr004", + "input": { + "question": "Where would you find magazines alongside many other printed materials?", + "options": [ + "doctor", + "bookstore", + "market", + "train station", + "mortuary" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr509", + "input": { + "question": "John and Judy were parents. They had two wonderful kids who weren't always well behaved. They were light touch, though. They felt it was a parent's job to do what?", + "options": [ + "control children", + "guide children", + "speak freely", + "cry", + "understand children" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr416", + "input": { + "question": "Athletes soak in hot tubs to relieve what after playing baseball?", + "options": [ + "fame", + "errors", + "pain", + "strikes", + "sore muscles" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr297", + "input": { + "question": "What did the police officers do when they heard a cry from a distance?", + "options": [ + "run away", + "hurry along", + "fine motorists", + "direct traffic", + "help" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr172", + "input": { + "question": "They were hoping their campaign would increase awareness of the issue and hopefully do what to its impact?", + "options": [ + "set", + "fall", + "park", + "descend", + "reduce" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr091", + "input": { + "question": "James found the sound relaxing. It was so relaxing he almost did what despite his efforts?", + "options": [ + "deep breathing", + "worried", + "fall asleep", + "invigorating", + "feeling good" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr200", + "input": { + "question": "Joan wants to cook a potato, where should she put it?", + "options": [ + "boiling water", + "paper bag", + "restaurants", + "underground", + "cupboard" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr352", + "input": { + "question": "He kept plugging away in his cubicle, it seemed he was the only person not called into the what?", + "options": [ + "building", + "conference", + "assessment", + "demonstration", + "garage" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr044", + "input": { + "question": "If you are in a bar in a glove-shaped state where are you?", + "options": [ + "in my pocket", + "michigan", + "new york city", + "restaurant", + "public house" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr215", + "input": { + "question": "While knitting you can do what using a radio?", + "options": [ + "listen to music", + "watch television", + "making blankets", + "eat", + "watching tv" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr243", + "input": { + "question": "Joe was thrown from his boat into the water. The water was cold because it was the middle of winter and he cried out to his crew for help. They couldn't hear him over the sound of the what?", + "options": [ + "surface of earth", + "teardrops", + "snowflake", + "typhoon", + "motor" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr481", + "input": { + "question": "The butt was bare, and Sam couldn't stop staring at it. It was very what?", + "options": [ + "full", + "ample", + "covered", + "bareword", + "ample" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr001", + "input": { + "question": "The penalties imposed on the school were a severe setback, and they seemed to have what effect on the reforms the school had been attempting to implement?", + "options": [ + "disregard", + "impose", + "authoritarian", + "scold", + "evade" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr158", + "input": { + "question": "Where can kids interact with animals?", + "options": [ + "meadow", + "play room", + "surface of earth", + "zoos", + "fairgrounds" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr171", + "input": { + "question": "Alabama is filled with diverse people, but they are all residents of what?", + "options": [ + "united states", + "deep south", + "floribama", + "gulf states", + "florabama" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr387", + "input": { + "question": "His parents thought he was suffering from boredom, but the teen loved to lay in bed and just do what?", + "options": [ + "meet interesting people", + "lift weights", + "listen to music", + "play chess", + "entertain" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr423", + "input": { + "question": "Joe is a squirrel, which is an animal. He probably lives in what sort of place.", + "options": [ + "pet store", + "outside", + "woodland", + "ocean", + "cafe" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "cr138", + "input": { + "question": "I couldn't find anybody who remembered the event, what were they adept at doing?", + "options": [ + "question authority", + "act fool", + "wash dishes", + "act innocent", + "forget" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Comparative-Opinion-Quintuple-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Comparative-Opinion-Quintuple-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2aee740b1efda71bf8f6a6235fb84eabd4bf27d5 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Comparative-Opinion-Quintuple-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "comparative_opinion_quintuple_extraction", + "data_source": "comparative_reviews_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0130", + "input": { + "raw_text": "The D80 comes with an LCD cover which is also another welcome addition from the D50 . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0261", + "input": { + "raw_text": "[[];[];[6&&weight];[5&&lower];[1]]", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0112", + "input": { + "raw_text": "You will need one essential item and that is a memory card , a 512mb cf card will cost about & 25 - & 40 but you maybe able to get them cheaper off ebay if you shop around . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0235", + "input": { + "raw_text": "It uses the same battery and flash as my XT thus did n't need to buy extras . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0156", + "input": { + "raw_text": "It does seem to react faster in low light situations . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0428", + "input": { + "raw_text": "The larger camera does n't allow that . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0006", + "input": { + "raw_text": "Another welcome improvement over the D50 , D40 , D70/70s is the ability to shoot in RAW and store a Large Fine Quality JPG at the same time ( previously it was only `` basic '' JPG with low quality ) . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0386", + "input": { + "raw_text": "The G7 is a great camera , do n't get me wrong , but I could not justify keeping both cameras , especially for the cost of the G7 and considering that the G7 did not produce better quality photos than the A630 ( equal in some cases , but not better ) . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0233", + "input": { + "raw_text": "This is one better than the D70/D70s since you could n't use the built-in flash on that camera when you used the camera as the wireless flash commander . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0489", + "input": { + "raw_text": "Overall , low light and dark conditions were above average for a ultracompact digital camera . \t1", + "prompt": "<<>>. Extract all comparative opinion quintuplets from this review. Each quintuplet should contain (target1, target2, aspect, opinion, sentiment). Note that target1, target2, or aspect might be 'NULL' if not explicitly mentioned. Format each quintuplet as 'target1 => target2 => aspect => opinion => sentiment' where sentiment is either positive, negative, or neutral. Separate multiple quintuplets with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Constituency-Parsing/annotation.json b/Scope-A/S-A-Quick/nlp/Constituency-Parsing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..02bff344b01f9125843860d4eeae9f62259baa33 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Constituency-Parsing/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "con_parsing", + "data_source": "wsj", + "type": "multiple choice", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0475", + "input": { + "raw_text": "Los Angeles is a sprawling , balkanized newspaper market , and advertisers seemed *-1 to feel 0 they could buy space in the mammoth Times , then target a particular area with one of the regional dailies .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (VB (NP one)\n B: (TO (NP one)\n C:(CD (NP one)\n D:(NP (NP one)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0026", + "input": { + "raw_text": "`` I 'm doing the main story , and I 'm already two beers drunk , '' said *T*-1 reporter Andy Furillo , whom the Times hired *T*-50 away several years ago but who *T*-49 returned to the Herald out of preference .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (NNS of (NP preference)\n B: (TO of (NP preference)\n C:(CD of (NP preference)\n D:(PP of (NP preference)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0217", + "input": { + "raw_text": "Mr. Hahn attributes the gains to the philosophy of * concentrating on what a company knows *T*-1 best .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (NP (NP the philosophy)\n B: (VBZ (NP the philosophy)\n C:(NN (NP the philosophy)\n D:(CD (NP the philosophy)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0469", + "input": { + "raw_text": "Commodities : Dow Jones futures index 129.91 , up 0.28 ; spot index 131.01 , up 1.17 .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (JJR (NP Dow Jones futures index)\n B: (NP (NP Dow Jones futures index)\n C:(VBN (NP Dow Jones futures index)\n D:(S (NP Dow Jones futures index)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0112", + "input": { + "raw_text": "The bill , as it was approved *-26 by the House Public Works and Transportation Committee , would give the Transportation Department up to 50 days 0 * to review any purchase of 15 % or more of the stock in an airline *T*-1 .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (VP give (NP the Transportation Department)\n B: (PP give (NP the Transportation Department)\n C:(NNS give (NP the Transportation Department)\n D:(RBR give (NP the Transportation Department)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0390", + "input": { + "raw_text": "As the deals also improve Japanese access to American technology and market knowledge , they feed American anxieties in this area , too .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (JJ (NP Japanese access)\n B: (VBZ (NP Japanese access)\n C:(NP (NP Japanese access)\n D:(TO (NP Japanese access)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0457", + "input": { + "raw_text": "The fact that a vast majority of fundamentalist money managers fail *-1 to beat the S&P 500 may contribute to the hysteria surrounding the issue .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (VBN (NP the hysteria)\n B: (RB (NP the hysteria)\n C:(NP (NP the hysteria)\n D:(IN (NP the hysteria)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0317", + "input": { + "raw_text": "A form of asbestos once used * * to make Kent cigarette filters has caused a high percentage of cancer deaths among a group of workers exposed * to it more than 30 years ago , researchers reported 0 *T*-1 .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (S (NP a group)\n B: (RB (NP a group)\n C:(NP (NP a group)\n D:(VBP (NP a group)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0064", + "input": { + "raw_text": "Commonwealth Edison said 0 the ruling could force it to slash its 1989 earnings by $ 1.55 *U* a share .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (VBG slash (NP its 1989 earnings)\n B: (JJR slash (NP its 1989 earnings)\n C:(VP slash (NP its 1989 earnings)\n D:(CD slash (NP its 1989 earnings)\n" + }, + "output": { + "text": "" + } + }, + { + "id": "0108", + "input": { + "raw_text": "Adds *ICH*-1 Mitsui 's Mr. Klauser : `` Unlike corporations in this country , trading companies are n't so much interested in a high return on investment as they are *?* on * increasing trade flows .", + "prompt": "<<>> Which of the following constituent parsing options is correct for this sentence?\n\nA: (VBZ (NP a high return)\n B: (VBN (NP a high return)\n C:(NP (NP a high return)\n D:(NNS (NP a high return)\n" + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Conversational-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Conversational-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5328256b462fe1410423db69d1a9afc0faf46d66 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Conversational-Question-Answering/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Conversational question answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "cqa142", + "input": { + "question": "Where did Mr Faulkner bring his mother and sisters?\\", + "context": "CHAPTER XIII. \n\n\"_Benedict_. What, my dear Lady Disdain, are you yet living?\" \n\n\"_Beatrice_. Is it possible Disdain should die while she has such meet food to feed her?\" \n\n_Much Ado about Nothing._ \n\nThe Lyddell family did not continue in London much longer; it had been a short season, and though the session of Parliament was not over, most of the ladies were taking flight into the country, before the end of June,--Mrs. Lyddell among the rest,--and her husband went backwards and forwards to London, as occasion called him. \n\nThe girls were glad to get into the country, but Marian soon found that she had not escaped either from gaieties, or from the objects of her aversion; for Mr. Faulkner brought his mother and sisters to High Down House, gave numerous parties there, and made a constant interchange of civilities with the family at Oakworthy. Archery was pretty much the fashion with the young ladies that year; it was a sport which Marian liked particularly, having often practised it with Edmund and Agnes, and her bow and arrows were always the first to be ready. \n\nOne day when Marian, Caroline, and Clara were shooting on the lawn at Oakworthy, Mr. and Miss Faulkner rode from High Down, came out on the lawn, and joined them. From that moment, any one could see the change that came over Marian. Instead of laughing and talking, teaching Clara, and paying only half attention to her own shooting, she now went on as if it was her sole object, and as if she had no other purpose in life. She fixed her arrows and twanged her string with a rigidity as if the target had been a deadly enemy, or her whole fate was concentrated in hitting the bull's eye; and when her arrows went straight to the mark, or at least much straighter than those of any one else, she never turned her head, or vouchsafed more than the briefest answer to the exclamations around. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa262", + "input": { + "question": "Where is the tree?", + "context": "There is a large tree in a park where all the kids in the neighborhood can hang out and play. The tree was planted in 1896 and has grown to over fifty feet tall with branches that were another thirty feet wide. Next to the tree is a jungle gym. The jungle gym has two slides, a fireman pole, a rock climbing wall, and much more. One day the kids in the neighborhood came up with the idea of building a tree house so they could spend all of their time at the park, even when it was raining outside. The children all went to their parents begging them to help and get wood. The families of the neighborhood began building the master tree house. Upon completion the tree house was ten by twelve feet high, with two windows, and plenty of space for the children to have fun. Every day during the summer that year the children played in the park and went in the tree house from sunrise to sunset every day. Fifteen years have gone by and the children are now too old to use the tree house. The tree house still sits on the tree but instead has a new group of kids that get to enjoy the house. Now the first kids have become parents and get to watch their idea live on and make the children of the neighborhood happy." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa361", + "input": { + "question": "Who is the main character in the story?", + "context": "Princess Ellen wanted nothing more than to be a singer when she grew up. She had a beautiful voice and everyone who heard it said she was the best singer in the land. But her uncle believed singing would keep her from her job as princess, so he found a witch and paid her to steal Princess Ellen's voice. The witch made a spell which gave Ellen the witch's voice. The spell also gave Ellen's voice to the witch. The witch went on to become famous as a singer, and Ellen grew up to be Queen. One day Queen Ellen heard of a singer who was the best in the land. She went to hear this singer, and was surprised to hear her own voice coming from the woman on stage. When the show was over, Ellen found the singer and gave her a penny. Ellen told the singer, \"You have a magical voice\". The witch was so touched by Ellen's kindness, that she gave Ellen her voice back." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa471", + "input": { + "question": "Which chapter is this?", + "context": "CHAPTER NINETEEN. \n\nA SHOOTING TRIP TO PARADISE ISLE, AND FURTHER DISPLAY OF THE CAPTAIN'S CONTRIVANCES. \n\nWhile our explorers were thus reduced to a state of forced inaction as regarded the main object of their expedition, they did not by any means waste their time in idleness. On the contrary, each of the party went zealously to work in the way that was most suitable to his inclination. \n\nAfter going over the main island of Poloe as a united party, and ascertaining its size, productions, and general features, the Captain told them they might now do as they pleased. For his part he meant to spend a good deal of his time in taking notes and observations, questioning the chief men as to the lands lying to the northward, repairing and improving the hut, and helping the natives miscellaneously so as to gain their regard. \n\nOf course Leo spent much of his time with his rifle, for the natives were not such expert hunters but that occasionally they were badly off for food. Of course, also, Alf shouldered his botanical box and sallied forth hammer in hand, to \"break stones,\" as Butterface put it. Benjy sometimes followed Alf--more frequently Leo, and always carried his father's double-barrelled shot-gun. He preferred that, because his powers with the rifle were not yet developed. Sometimes he went with Toolooha, or Tekkona, or Oblooria, in one of the native oomiaks to fish. At other times he practised paddling in the native kayak, so that he might accompany Chingatok on his excursions to the neighbouring islands after seals and wild-fowl. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa290", + "input": { + "question": "who had 3 home runs ?", + "context": "(CNN) -- Pablo Sandoval's record-tying three home runs led the San Francisco Giants to an 8-3 victory over the Detroit Tigers in Game 1 of the World Series. \n\nBarry Zito gave up just one run in 5 2/3 innings to earn the win for San Francisco. He also had a run-scoring single in the fourth inning. \n\nTigers pitching ace Justin Verlander only managed to go four innings, allowing five runs on six hits. \n\nSandoval, who had 12 home runs during the regular season, hit a solo home run in the first and a two-run shot in the third off Verlander. In the fifth, he added another home run off Al Alburquerque. He has six home runs in the postseason. \n\n\"In this situation you're going to face the best. For me I just go in there and don't thinking too much or try to do too much, get a pitch you can hit, take advantage of the mistakes he be making. That's a part of my game.\" Sandoval said. \n\nHis manager said Sandoval has been swinging the bat well for weeks. \n\n\"He's been locked in for a while, and the home runs, really where he hit them, too, it's not easy to hit them where he hit them,\" Giants skipper Bruce Bochy said. \n\nThree other players have homered three times in one World Series game. \n\nBabe Ruth did it twice, and Reggie Jackson also achieved the feat. Last year, St. Louis Cardinals slugger Albert Pujols had three home runs in Game 3. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa053", + "input": { + "question": "which chapter are we reading?", + "context": "CHAPTER VI.\u2014LEO ASSERTS HIS RIGHTS. \n\nAt once a crowd of performers surrounded the pair. Very few of them liked Jack Snipper, and they wondered what Leo would do should the gymnast attack the boy. \n\n\u201cCall me a braggart, will you!\u201d roared Snipper. \n\n\u201cDon\u2019t you dare to touch me with that club!\u201d replied Leo calmly. \n\n\u201cI\u2019ll teach you a lesson!\u201d \n\nAnd, swinging the Indian club over his head, Jack Snipper made a savage blow at the young gymnast. \n\nHad the stick struck Leo the boy\u2019s head would have sustained a severe injury. \n\nBut as quick as a flash Leo dodged, and the Indian club merely circled through the empty air. \n\n\u201cFor shame, Snipper!\u201d \n\n\u201cDo you want to kill the boy?\u201d \n\n\u201cWhat harm has he done?\u201d \n\nAnd so the cries ran on. \n\n\u201cMind your own affairs!\u201d shouted the maddened gymnast. \u201cI\u2019m going to teach the boy a lesson!\u201d \n\nAgain he sprang at Leo. \n\nBut now suddenly the Indian club was caught. A dexterous twist, and it went flying out of reach across the dressing tent. \n\nThen, before Snipper could recover, he received a stinging slap full in the face that sent him staggering backward on the grass. \n\nA shout of approval went up. \n\n\u201cGood for Leo!\u201d \n\n\u201cThat\u2019s right, boy, stand up for your rights!\u201d \n\nThe shout brought Adam Lambert, the general manager, to the scene. \n\nNo sooner had he appeared than all the performers walked away. It was against the rules to fight, and every one present was liable to a heavy fine. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa287", + "input": { + "question": "What comes out at night?", + "context": "At night, the magical chipmunks come out to play in the woods. They shower in bowls, and take pictures with their phones. They brush their teeth until they twinkle. They hide in the bushes and play games. There is one game they really like. To play, one chipmunk puts his ear on the phone, and another hides in the woods with a different phone. One chipmunk walks through the woods looking for the hiding chipmunk. The hiding chipmunk tells 'hot' or 'cold' to the first one on the phone. If 'hot', he is very close to finding! If 'cold', he's very far away! Chipmunks love to be hot, so there is a twist to this game! These magical chipmunks can change the temperature with their voice, so if the hiding chipmunk says cold, all the chipmunks becomes colder. If the hiding chipmunk says 'hot', all the chipmunks become hotter. Oh, how the chipmunks love to play this game! But they don't like to lose!" + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa046", + "input": { + "question": "What has a population of over 300,000", + "context": "The Federal City of Bonn () is a city on the banks of the Rhine in the German state of North Rhine-Westphalia, with a population of over 300,000. About south-southeast of Cologne, Bonn is in the southernmost part of the Rhine-Ruhr region, Germany's largest metropolitan area, with over 11 million inhabitants. \n\nTogether with the capital Berlin, the city is the \"de facto\" joint seat of government of Germany. Bonn is the secondary seat of the President, the Chancellor, the Bundesrat and the primary seat of six federal government ministries and twenty federal authorities. The title of Federal City () reflects its important political status within Germany. \n\nFounded in the 1st century BC as a Roman settlement, Bonn is one of Germany's oldest cities. From 1597 to 1794, Bonn was the capital of the Electorate of Cologne, and residence of the Archbishops and Prince-electors of Cologne. Composer Ludwig van Beethoven was born in Bonn in 1770. From 1949 to 1990, Bonn was the provisional capital (\"temporary seat of the Federal institutions\") of West Germany, and Germany's present constitution, the Basic Law, was declared in the city in 1949. From 1990 to 1999, Bonn served as the seat of government \u2013 but no longer capital \u2013 of reunited Germany." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa061", + "input": { + "question": "What movie is the article referring to?", + "context": "(Entertainment Weekly) -- How are the elements of the charming, traditional romantic comedy \"The Proposal\" like the checklist of a charming, traditional bride? Let me count the ways ... \n\nRyan Reynolds wonders if marrying his boss, Sandra Bullock, is a good thing in \"The Proposal.\" \n\nSomething old: The story of a haughty woman and an exasperated man who hate each other -- until they realize they love each other -- is proudly square, in the tradition of rom-coms from the 1940s and '50s. Or is it straight out of Shakespeare's 1590s? \n\nSandra Bullock is the shrew, Margaret, a pitiless, high-powered New York book editor first seen multitasking in the midst of her aerobic workout (thus you know she needs to get ... loved). Ryan Reynolds is Andrew, her put-upon foil of an executive assistant, a younger man who accepts abuse as a media-industry hazing ritual. \n\nAnd there the two would remain, locked in mutual disdain, except for Margaret's fatal flaw -- she's Canadian. (So is \"X-Men's\" Wolverine; I thought our neighbors to the north were supposed to be nice.) \n\nMargaret, with her visa expired, faces deportation and makes the snap executive decision to marry Andrew in a green-card wedding. It's an offer the underling can't refuse if he wants to keep his job. (A sexual-harassment lawsuit would ruin the movie's mood.) \n\nOK, he says. But first comes a visit to the groom-to-be's family in Alaska. Amusing complications ensue. \n\nSomething new: The chemical energy between Bullock and Reynolds is fresh and irresistible. In her mid-40s, Bullock has finessed her dewy America's Sweetheart comedy skills to a mature, pearly texture; she's lovable both as an uptight careerist in a pencil skirt and stilettos, and as a lonely lady in a flapping plaid bathrobe. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa070", + "input": { + "question": "Who went to the farm?", + "context": "Billy went to the farm to buy some beef for his brother's birthday. When he arrived there he saw that all six of the cows were sad and had brown spots. The cows were all eating their breakfast in a big grassy meadow. He thought that the spots looked very strange so he went closer to the cows to get a better look. When he got closer he also saw that there were five white chickens sitting on the fence. The fence was painted blue and had some dirty black spots on it. Billy wondered where the dirty spots had come. Soon he got close to the chickens and they got scared. All five chickens flew away and went to eat some food. After Billy got a good look at the cows he went to the farmer to buy some beef. The farmer gave him four pounds of beef for ten dollars. Billy thought that it was a good deal so he went home and cooked his brother dinner. His brother was very happy with the dinner. Billy's mom was also very happy." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa447", + "input": { + "question": "What are the names of the couple?", + "context": "Last week when I was sitting in my office,I heard an elderly lady talking on the phone about her husband.Her husband's name was Ed.He dropped her off for her doctor's appointment and was going to park the car and wait for her.She was so upset that she started to cry.I knew I should take action. The lady told me her name was Helen and she called the restaurant she and her husband were going to have lunch at after her appointment to see if he was waiting for her there.She explained that she thought her husband parked the car in the parking lot and waited for her in the car but she didn't find him there so she returned to see if he entered the medical building,but Ed was not there either.She regretted making her husband park the car alone since some signs of Alzheimer's had happened in his behavior.I asked a few nurses to help look for Ed inside and outside the medical building according to Helen's description.Then I offered to drive Helen to the restaurant to see if Ed was waiting for her there. On arriving at the parking lot of the restaurant,Helen began to search for Ed's car but she failed,which suggested Ed wasn't there.We decided to have a talk with the manager before we returned to the hospital.On our way to the manager's office.I received a call from a nurse,who said they had found Ed.What a relief! But we still needed to go on searching since he forgot where he parked his car! Fortunately, we didn't have much difficulty finding it. As I waved good-bye to the couple, I thought \"This is true love in life.The love is not romantic but it stays with us all the time.\"" + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa160", + "input": { + "question": "What's another name for the First Persian Empire?", + "context": "The Achaemenid Empire, also called the First Persian Empire, was an empire based in Western Asia, founded by Cyrus the Great. Ranging at its greatest extent from the Balkans and Eastern Europe proper in the west to the Indus Valley in the east, it was one of the largest empires in history, spanning 5.5 million square kilometers, and was larger than any previous empire in history. It is equally notable for its successful model of a centralised, bureaucratic administration (through satraps under the King of Kings), for building infrastructure such as road systems and a postal system, the use of an official language across its territories, and the development of civil services and a large professional army. The empire's successes inspired similar systems in later empires. It is noted in Western history as the antagonist of the Greek city-states during the Greco-Persian Wars and for the emancipation of the Jewish exiles in Babylon. \n\nBy the 7th century BC, the Persians had settled in the southwestern portion of the Iranian Plateau in the region of Persis, which came to be their . From this region, Cyrus the Great advanced to defeat the Medes, Lydia, and the Neo-Babylonian Empire, establishing the Achaemenid Empire. Alexander the Great, an avid admirer of Cyrus the Great, conquered most of the empire by 330 BC. Upon his death, most of the empire's former territory came under the rule of the Ptolemaic Kingdom and Seleucid Empire, in addition to other minor territories which gained independence at that time. The Iranian population of the central plateau reclaimed power by the second century BC under the Parthian Empire." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa201", + "input": { + "question": "Is enforcing the law the entire goal of police?", + "context": "A police force is a constituted body of persons empowered by the state to enforce the law, protect property, and limit civil disorder. Their powers include the legitimized use of force. The term is most commonly associated with police services of a sovereign state that are authorized to exercise the police power of that state within a defined legal or territorial area of responsibility. Police forces are often defined as being separate from military or other organizations involved in the defense of the state against foreign aggressors; however, gendarmerie are military units charged with civil policing. \n\nLaw enforcement, however, constitutes only part of policing activity. Policing has included an array of activities in different situations, but the predominant ones are concerned with the preservation of order. In some societies, in the late 18th and early 19th centuries, these developed within the context of maintaining the class system and the protection of private property. Many police forces suffer from police corruption to a greater or lesser degree. The police force is usually a public sector service, meaning they are paid through taxes." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa397", + "input": { + "question": "What sound came from the school room?", + "context": "CHAPTER I. \n\n\"Nerei repandirostrum incurvicervicum pecus.\" \n\nA dingy, swashy, splashy afternoon in October; a school-yard filled with a mob of riotous boys. A lot of us standing outside. \n\nSuddenly came a dull, crashing sound from the school-room. At the ominous interruption I shuddered involuntarily, and called to Smithsye:-- \n\n\"What's up, Smithums?\" \n\n\"Guy's cleaning out the fourth form,\" he replied. \n\nAt the same moment George de Coverly passed me, holding his nose, from whence the bright Norman blood streamed redly. To him the plebeian Smithsye laughingly:-- \n\n\"Cully! how's his nibs?\" \n\nI pushed the door of the school-room open. There are some spectacles which a man never forgets. The burning of Troy probably seemed a large-sized conflagration to the pious Aeneas, and made an impression on him which he carried away with the feeble Anchises. \n\nIn the centre of the room, lightly brandishing the piston-rod of a steam-engine, stood Guy Heavystone alone. I say alone, for the pile of small boys on the floor in the corner could hardly be called company. \n\nI will try and sketch him for the reader. Guy Heavystone was then only fifteen. His broad, deep chest, his sinewy and quivering flank, his straight pastern, showed him to be a thoroughbred. Perhaps he was a trifle heavy in the fetlock, but he held his head haughtily erect. His eyes were glittering but pitiless. There was a sternness about the lower part of his face,--the old Heavystone look,--a sternness, heightened, perhaps, by the snaffle-bit which, in one of his strange freaks, he wore in his mouth to curb his occasional ferocity. His dress was well adapted to his square-set and herculean frame. A striped knit undershirt, close-fitting striped tights, and a few spangles set off his figure; a neat Glengarry cap adorned his head. On it was displayed the Heavystone crest, a cock regardant on a dunghill or, and the motto, \"Devil a better!\" " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa012", + "input": { + "question": "What is the main topic?", + "context": "OCLC, currently incorporated as OCLC Online Computer Library Center, Incorporated, is an American nonprofit cooperative organization \"dedicated to the public purposes of furthering access to the world's information and reducing information costs\". It was founded in 1967 as the Ohio College Library Center. OCLC and its member libraries cooperatively produce and maintain WorldCat, the largest online public access catalog (OPAC) in the world. OCLC is funded mainly by the fees that libraries have to pay for its services (around $200\u00a0million annually ). \n\nOCLC began in 1967, as the Ohio College Library Center, through a collaboration of Ohio university presidents, vice presidents, and library directors who wanted to create a cooperative, computerized network for Ohio libraries. The group first met on July 5, 1967 on the campus of the Ohio State University to sign the articles of incorporation for the nonprofit organization. The group hired Frederick G. Kilgour, a former Yale University medical school librarian, to design the shared cataloging system. Kilgour wished to merge the latest information storage and retrieval system of the time, the computer, with the oldest, the library. The plan was to merge the catalogs of Ohio libraries electronically through a computer network and database to streamline operations, control costs, and increase efficiency in library management. The goal of this network and database was to bring libraries together to cooperatively keep track of the world's information to best serve researchers and scholars. The first library to do online cataloging through OCLC was the Alden Library at Ohio University on August 26, 1971. This was the first occurrence of online cataloging by any library worldwide." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa204", + "input": { + "question": "What sport was Rodman in?", + "context": "Dennis Rodman says he's not a diplomat, just a former NBA star fighting addiction and trying to be a better father. \n\nBut that hasn't kept him from becoming embroiled, even if unintentionally, in U.S.-North Korea relations. \n\nHis apparent chumminess with North Korea's leader has been controversial, as have previous proclamations that Kim Jong Un is a \"nice guy.\" \n\nRodman said he simply does not know enough about the allegations of abuse and authoritarianism that Kim is reviled for. \n\n\"I keep telling people, I'm not there to be an ambassador to try to figure out why (is Kim) doing all these things? That's not my job,\" Rodman told CNN's Chris Cuomo on \"New Day\" Friday. \n\nIt was his first interview since entering an alcohol rehabilitation facility two weeks ago. \n\nThe former basketball player is probably the American with the most access to the North Korean leader, and many have been critical that he has not lobbied for the release of American prisoner Kenneth Bae from a labor camp. \n\n\"I'm not an ambassador, and I tried to strive and tell people, just because I know the marshal (Kim), that doesn't mean I know the marshal like that,\" he said. \n\nRodman says he didn't mean to insinuate during an earlier interview this month that he knew why Bae, a Korean-American, was being held in North Korea. \n\n\"To this day I still don't know what he did,\" Rodman said, even offering to take Bae's place if he could. \n\n\"I feel for (Bae's family). I feel for them deeply. ... I would do anything literally. This is Dennis Rodman talking. If they (North Korea) said, 'We'll take Dennis Rodman and we'll let Kenenth Bae go,' I'll say, 'You know what? I'll do that. ... Take me.'\" " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa428", + "input": { + "question": "who is not for sale", + "context": "(CNN) -- Lionel Messi is not for sale. \n\nThat was the defiant message from Barcelona's new president, who is adamant that the club's all-time leading goalscorer is going nowhere amid reports French club Paris St Germain want to sign the Argentine. \n\nJosep Maria Bartomeu will sit down with the four-time World Player of the Year to thrash out a new contract which will see him remain as most highly-paid at the Camp Nou. \n\n\"We want to sit down, without any rush, with Leo's father -- it's not something that's happening tomorrow, we have plenty of time, but we will do what we have to to ensure he's the best paid player,\" said Josep Maria Bartomeu, who assumed control at Barca after Sandro Rosell's resignation last week. \n\nMessi arrived at Barca in 2000 , graduating through the club's youth system before going on to establish himself as the best player on the planet. \n\nSince making his first team debut in 2004, Messi has helped the team win six Spanish league titles, two Spanish Cups and three European Champions League crowns. \n\nBlog: Is Ronaldo really the best? \n\nThe club's determination to keep hold of Messi will be sweet relief to Barca fans after a turbulent few weeks. \n\nFormer president Rosell stepped down after a Spanish judge's decision to investigate the deal which saw Neymar move to Catalonia from Brazilian team Santos last June. \n\nThe club initially announced the deal was worth $78 million, but the breakdown of the agreement was never revealed. \n\nA Barcelona member launched a case against Rosell for not disclosing the full details and the club was asked by Spanish authorities to hand over documentation, as well as accounts for the past three years. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa385", + "input": { + "question": "Who had the best grandparent?", + "context": "Timmy had the best grandmother ever. She was very nice because she would always help Timmy when he needed help with his homework. She would sit down with Timmy in the kitchen and help him with his spelling every night. Then she would go back to the living room and watch television when he worked on his math. After that she would cook Timmy a big dinner, and they would both eat it together before Timmy's mom and dad came to pick him up. When Timmy went home he would sometimes call his grandmother to say hello. Even when she was sleepy she would talk with him and tell him a bedtime story. One time she even told him a story about his grandfather who had been a farmer. Timmy loved this story because he never got to meet his grandfather. One day he wanted to be like him and be a farmer." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa113", + "input": { + "question": "who was flying the plane?", + "context": "If you were a pilot flying a plane, and suddenly the engine failed, would you eject , or stay in? For a pilot, the choice is very difficult. If he ejects, he is wise, but the plane crashes. If he stays in the plane, he risks his life. \n\nRecently, Chinese Air Force pilot Li Feng, 38, faced this choice during a training exercise. It was March 7 and he was flying a Jian-10 (Flghter-10) at 4,500 meters. A warning appeared on the plane's computer screen. He realized the plane might fail at any moment. \n\nLi Feng did a quick check of the engine and asked the base if he could return. When the fighter was 7km away from the airport, however, the engine stopped working. The plane began to fall at a speed of 25 meters a second from an altitude of 1,160 meters. \n\nUnder Air Force rules fighter pilots may eject if their aircraft loses engine power below 2,000 meters and can't be restarted. Before Li lost contact with the control tower, the commander in the air base asked him to eject. But Li Feng insisted on having another try. \n\n\"I knew where the deadline (to abandon the aircraft) was and was prepared for the ejection, but I decided not to give up unless the fighter was totally out of control,\" Li recalled during a recent television interview. \n\nAfter 104 seconds, Li was able to bring the fighter to a safe landing. The plane only suffered slight damage. \n\n\"You are a hero! Congratulations!\" Li's teacher, Xu yongling wrote in a text message to him after the landing. He said Li was a cool-headed pilot and very professional. \n\nLi's brave and calm act not only saved the 200 million yuan aircraft but also gave him invaluable first-hand experience of dealing with an engine emergency. \n\nFor his outstanding performance, the Air Force recently awarded him a gold medal." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa350", + "input": { + "question": "What restaurant did the vehicle pull into?", + "context": "Deep into the night, the bus pulled in to a Howard Johnson's restaurant and everybody got off the bus except Vingo. The young people began to wonder about him , trying to imagine his life. One of the girls sat beside him and introduced herself. After a long time, slowly and painfully, he began to tell his story. He had been in prison in prefix = st1 /New Yorkfor the last four years, and now he was going home. \n\n\"Well, when I was in prison I wrote to my wife. I said, 'Martha, I understand if you can not stay married to me'. I said I was going to be away for a long time, and that if she couldn't stand it , if the kids kept asking questions, if it hurt her too much, well, she could just forget me . Get a new young man---she's a wonderful woman---and forget all about me. I told her she didn't have to write to me and she didn't. Not for the three and a half years.\" \n\n\"Last week, when I was sure freedom was coming through, I wrote to her. I told her that if she had a new young man, I would understand. But if she didn't, if she would take me back, she should let me know. We used to live in the town,Brunswick, and there's a great big oak tree just as you come into the town. I told her if she would take me back, she should put a yellow handkerchief on the tree, and if she didn't want me, forgot me, no handkerchief and I'd keep going on through.\" \n\nSoon all the others were in it. When they were 20 miles fromBrunswick, the young men took over window seats on the right side, waiting for the approach of the great oak tree. Vingo stopped looking, tightening his face into the ex-con's mask. Then it was 10 miles, and then 5, and the bus became very quiet. \n\nThen suddenly all of the young people were up out of their seats, screaming and shouting and crying, doing small dances. All except Vingo." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa099", + "input": { + "question": "How long is an ODI?", + "context": "A One Day International (ODI) is a form of limited overs cricket, played between two teams with international status, in which each team faces a fixed number of overs, usually 50. The Cricket World Cup is played in this format. One Day International matches are also called Limited Overs Internationals (LOI), although this generic term may also refer to Twenty20 International matches. They are major matches and considered the highest standard of List A, limited overs competition. \n\nThe international one-day game is a late twentieth-century development. The first ODI was played on 5 January 1971 between Australia and England at the Melbourne Cricket Ground. When the first three days of the third Test were washed out officials decided to abandon the match and, instead, play a one-off one day game consisting of 40 eight-ball overs per side. Australia won the game by 5 wickets. ODIs were played in white kits with a red ball. \n\nIn the late 1970s, Kerry Packer established the rival World Series Cricket competition, and it introduced many of the features of One Day International cricket that are now commonplace, including coloured uniforms, matches played at night under floodlights with a white ball and dark sight screens, and, for television broadcasts, multiple camera angles, effects microphones to capture sounds from the players on the pitch, and on-screen graphics. The first of the matches with coloured uniforms was the WSC Australians in wattle gold versus WSC West Indians in coral pink, played at VFL Park in Melbourne on 17 January 1979. This led not only to Kerry Packer's Channel 9 getting the TV rights to cricket in Australia but also led to players worldwide being paid to play, and becoming international professionals, no longer needing jobs outside cricket. Matches played with coloured kits and a white ball became more commonplace over time, and the use of white flannels and a red ball in ODIs was finally abandoned in 2001." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa233", + "input": { + "question": "who was someone in his life that William wanted otothank.", + "context": "When William Stidger taught at Boston University, he once thought about the people he hadn't thanked in his life. They taught him, encouraged him or cared a lot about him. One was a teacher. She once taught William geography, and William loved geography all his life. So he wrote a letter of thanks to her. He got the teacher's letter later. It began, \"My dear Willie.\" He was very happy. Now over 50, he didn't think someone would call him \"Willie\". Here is that letter. My dear Willie, I can't tell you how much your letter meant to me. I am in my eighties, living alone in a small room and cooking my own meals. You will be interested to know that I taught school for 50 years and yours is the first letter of appreciation I ever got. It came on a cold morning and it made me feel very warm. ... William cried when he read the letter. She was one of the people that William hadn't thanked in his past. She helped him to believe in himself. He would never forget her. There are some people we should always remember, because they helped to shape our life. William Stidger found a way to show his appreciation--he wrote them letters. Who are some of the people that you need to say thank you to in your past? It may not be too late to say \"Thanks\"." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa448", + "input": { + "question": "What sport was Michael playing?", + "context": "As Michael put each finger on the white laces of the football like his dad had shown him he thought about his school trip to the zoo tomorrow. He could not wait to get to the zoo and most of all could not wait to see his favorite animal, the lion. Aiming the football at the tire swing that hung in his back yard, he remembered the second thing his dad had taught him about throwing a football which was making sure his shoulder and the football were in a straight line before he threw it. He watched the football sail toward the tire, right as his mom called him in for dinner. His mom had made his favorite food, hotdogs. He sat in the kitchen and watched as ketchup fell on to his plate as he ate his hotdog. His mom told him that in order to get his after dinner treat he would have to eat his corn, carrots, and drink all of his milk too. \n\nThat night as his mom tucked him in to bed he starred out the window and wondered if the lions at the zoo were looking up at the moon too. Michael, wondered if his best friends Joe, Nick, and Ryan were as excited as he was about going to the zoo the next day. He closed his eyes and went to sleep. \n\nThe next day he hopped from one foot to the other as his class lined up to get on the bus that would take him to the zoo. On the bus he sat with Ryan. The bus driver started the engine and turned the big steering wheel leading them out on to the road. Finally, at the zoo Michael began to imagine how cool it would be to finally get to see the lion cage. First his class went to see the monkeys and then headed over to see the long necked giraffes. As their teacher announced that they would then be going to see the elephants, we wondered if he would ever get to see the lions. Finally after learning about the elephants it was time to see the lions. The lion stood on a huge rock and swung its long tail from side to side. The lion licked his lips with its long pink tongue and Michael wondered if it was thinking about having a class full of kids for its lunch." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa462", + "input": { + "question": "Who liked to scare other animals?", + "context": "There once was a wolf that liked to scare the other forest animals. By daylight he pretended to be a kind, nice wolf. By night, he would circle the forest and hunt down his food. When he was very hungry, he would find humans and woof like a dog in hopes that someone would feed him. The wolf's favorite food was meat seasoned with lemon. The wolf liked to watch his food run in circles like a hamster until he felt like eating it. Sometimes the wolf would stay in the sand and lay in the sun until he would crawl back to his home and fall asleep with a full stomach. On other days, he goes home hungry. Sometimes there would be a knock on his door, and the wolf would be pleased because it meant his dinner had come to him and he would not have to hunt that day. Those days were the best for the wolf, by far." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa444", + "input": { + "question": "what sports body is the focus of the article?", + "context": "(CNN) -- Momentum is mounting against the NCAA, the century-old body that governs college sports. \n\nA federal judge has just heard one case calling for revenue from TV deals to be shared with student athletes and she will likely take on two more landmark suits this year that seek something even bigger -- a free market in college sports. \n\nAt the same time, Northwestern University is appealing a ruling that would allow football players to unionize. \n\nHere are five things you need to know about what just happened and what's coming. \n\nThe end of some of the biggest traditions? \n\nNational championships. Age-old rivalries. Larger-than-life game day atmospheres. \n\nThat's what's at stake, according to NCAA President Mark Emmert, who described a doomsday scenario if college athletes are paid, when he testified in the case brought by former UCLA basketball star Ed O'Bannon. \n\nEmmert said many school leaders have told him they would not want to pay for athletes. Instead they might opt out of Division I sports into Division II where there is less money for coaches, facilities and scholarships. \n\nSchools that did stay in D1 would likely have to cut less popular sports to afford to pay athletes, he said. \n\nAnd the schools that chose to pay would probably never play the schools that chose not to pay -- preventing a true national championship and putting an end to traditional rivalry games that are fan favorites, Emmert said. \n\nBut that idea is rejected by one of O'Bannon's lawyers, Bill Isaacson. \n\n\"The millions of sports fans who watch these games and everyone at the networks that broadcasts them knows that the games will continue to be played,\" he said. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa316", + "input": { + "question": "Is Robin Williams still living?", + "context": "(CNN) -- Smart, successful, funny and handsome. Robin Williams seemed to have it all. And yet, today he is dead. Apparently, by his own choice. \n\nBut why? What went wrong? \n\nThe joy, spontaneity and humor of Robin Williams likely masked the daily torment he endured in his on-again-off-again struggle with depression. He made us laugh out here, but he was in pain in there. Unfortunately, I know that pain. \n\nIn his death, we have lost one of the most talented and creative spirits on the planet. Still, his death by suicide should be a wake-up call for us all. It is to remind us that many of us are walking a fine line -- smiling on the outside while slowly dying on the inside. \n\nI didn't know Robin personally, so I am unable to speak with any certainty as to why he chose to end his life. But I have experienced that kind of torment and pain. For years, I, too, struggled with depression. And many days, I still do. \n\nComplete coverage on Robin Williams \n\nThose who are suffering will do just about anything not to feel the pain anymore. And in those moments, their brains become their worst enemies. It often takes an outside force to provide light, to make sure those dark thoughts aren't, as in the case of Robin, our last thoughts. \n\nAccording to the Centers for Disease Center, suicide rates increased from 2000 to 2011 from 10.4 deaths per 100,000 to 12.3 deaths per 100,000. \n\nThe rate of suicide is higher and rising among men. In 2011, 78.5% of suicides were by men, at a rate of 20.2 deaths per 100,000. " + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa211", + "input": { + "question": "What's the date of the Mid-Autumn festival?", + "context": "HAVE you noticed that the moon is becoming rounder and brighter day after day? That's because Sept 8 is the Mid-Autumn Festival. For Chinese people, a full moon means that family members can get together on that day. On the Mid-Autumn Festival, people get together and enjoy the round moon . They also send wishes for family members not with them. There are many stories about the moon to make the tradition more interesting. In China, Chang'e flying to the moon is a well-known legend . Hou Yi and Chang'e were husband and wife in old times. At the time, there were 10 suns in the sky. Hou yi, a brave man, shot down nine suns. People see Hou Yi as a great hero. Besides China, many other countries have beautiful stories about the moon. In Greek legend , Artemis is the goddess of the moon. She takes care of the hunt and wild animals. Artemis also looks after young children and women in childbirth . In India, the god of the moon is Soma. He has four hands and rides through the sky in a chariot . If a baby is born on a full moon day, Indian people believe he or she is lucky." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa089", + "input": { + "question": "Who is Dickinson's grandson?", + "context": "Time was running out, and Mark Dickinson wasn't sure whether he'd get to see his dying 2-year-old grandson one last time. A long line at Los Angeles International Airport's security checkpoint had kept him from getting to his gate on time. \n\nHis grandson Caden would be taken off life support in a matter of hours in Denver, Colorado, with or without his grandfather's presence, according to CNN affiliate KABC. \n\n\"I was kind of panicking because I was running late, and I really thought I wasn't going to make the flight,\" Dickinson told KABC. \n\nThat's when a pilot from Southwest Airlines stepped up and held the flight at the gate until Dickinson arrived. The pilot was standing by the air bridge waiting for him when Dickinson arrived in socks, so rushed that he just grabbed his shoes at security and ran through the terminal. \n\n\"I told him, 'Thank you so much. I can't tell you how much I appreciated that.' And he said, 'No problem. They can't leave without me anyway,'\"Dickinson told KABC. \n\nAuthorities say Dickinson's grandson, Caden Rodgers, suffered a head injury after his mother's boyfriend threw him across the room. The boyfriend reportedly told police he was drunk and high on marijuana at the time. The child later died and the boyfriend has been charged with first-degree murder, according to the Aurora Sentinel. \n\nThanks to the pilot, Dickinson made it to Colorado in time to say goodbye to his grandson. Most airlines would punish any staff member who holds up a flight, according to consumer advocate Christopher Elliott, who broke the story of the sympathetic pilot on his blog. However, a Southwest spokeswoman said the pilot's actions were praiseworthy. \n\n\"You can't hold a plane for every late customer, but I think we would all agree that these were extenuating circumstances and the pilot absolutely made the right decision,\" Southwest spokeswoman Marilee McInnis said. \"I don't think you could ask for a better example of great service for our customers.\"" + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa442", + "input": { + "question": "Who was left outside in the rain?", + "context": "The kitty did not want to freeze, so it found a place to stay warm in a trashcan near a bush. The kitty had been left outside in the rain, but some friendly people thought that they would let it in when they found it in the trashcan outside. They gave the kitty some water to sip, and food to eat. When the phone would ring, the kitty would run and hide. The kitty would hide in the bathroom. Sometimes, the kitty would take its food into the bedroom and eat it there. The kitty's claws were so sharp that they ended up cutting everything that it scratched. The kitty also scratched the finger of one of the nice people. When the rain stopped, the nice people put the kitty back outside. They put it outside because it was making them sneeze. The kitty left their home happy and with a full stomach. All of its kitty friends were waiting for it." + }, + "output": { + "answer": "" + } + }, + { + "id": "cqa358", + "input": { + "question": "What's the french version's address?", + "context": "Slate is an online magazine that covers current affairs, politics, and culture in the United States from a liberal perspective. It was created in 1996 by former \"New Republic\" editor Michael Kinsley, initially under the ownership of Microsoft as part of MSN. On December 21, 2004, it was purchased by The Washington Post Company, later renamed the Graham Holdings Company. Since June 4, 2008, \"Slate\" has been managed by The Slate Group, an online publishing entity created by the Graham Holdings Company to develop and manage web-only magazines. \"Slate\" is based in New York City, with an additional office in Washington, D.C. \n\nA French version \"(slate.fr)\" was launched in February 2009 by a group of four journalists, including Jean-Marie Colombani, Eric Leser, and economist Jacques Attali. Among them, the founders hold 50% in the publishing company, while The Slate Group holds 15%. In 2011, \"slate.fr\" started a separate site covering African news, \"Slate Afrique\", with a Paris-based editorial staff. \n\nIn July 2014, Julia Turner replaced David Plotz, who had been editor of \"Slate\" since 2008. Plotz had been the deputy editor to Jacob Weisberg, \"Slate's\" editor from 2002 until his designation as the chairman and editor-in-chief of The Slate Group. The Washington Post Company's John Alderman is \"Slate\"s publisher." + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Counterfactual-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Counterfactual-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..199ba225456d44a79607838f5d9eb8646687e7f2 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Counterfactual-Reasoning/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Counterfactual Reasoning", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "cr405", + "input": { + "question": "If Meusebach had been appointed by Pease as a special commissioner to settle colonist titles to land a year later, what year would that have been?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr071", + "input": { + "question": "If the temperature reading from \u00bdAziziya, Libya on 13 September 1922 hadn't been decertified, what would have been the highest recorded air temperature on Earth in Fahrenheit?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr463", + "input": { + "question": "If Shigeru Miyamoto had been able to implement his idea of a dinosaur companion for Mario from the beginning, which game would have first featured this character?" + }, + "output": { + "answer": [], + "explanation": "" + } + }, + { + "id": "cr126", + "input": { + "question": "If the town of Potosi in Grant County, Wisconsin, were to annex an additional 10 square miles of water, what would be the new total water area of the town?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr259", + "input": { + "question": "If Dwight D. Eisenhower had been defeated in the 1956 United States presidential election, who would have been the president?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr145", + "input": { + "question": "If Kesha had decided to produce her album \"Warrior\" in the conventional pop genre, when was it originally expected to be released?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr273", + "input": { + "question": "If the Interplanetary News Digest had been published, who would have been the editor of this 1950s UFO magazine?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr298", + "input": { + "question": "If Robert Bacher had received $900,000 in grants from the Atomic Energy Commission and Office of Naval Research specifically for operating a 600 MeV synchrotron, for how many years could he have run it?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr044", + "input": { + "question": "If the planet Mercury were not in the Solar System, which planet would be considered the smallest?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr348", + "input": { + "question": "If the Main Stand at the Ibrox Stadium hadn't been redeveloped in the early 1990s, what would have been its seating capacity?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr080", + "input": { + "question": "If the 2011 American musical comedy film \"The Muppets\" had not been released, how many theatrical films featuring the Muppets would have been produced in total?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr084", + "input": { + "question": "If Stephen Everett Merrill had lost the gubernatorial election in 1993 in New Hampshire but won the subsequent one, what would have been his position in the sequence of governors?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr256", + "input": { + "question": "If the film \"Dragon Ball Z: Battle of Gods\" had followed the original screenplay instead of Akira Toriyama's revision, whose wedding would have been the setting?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr413", + "input": { + "question": "If Benito Mussolini had delayed his political ambitions by a decade, in which part of the 1930s would he have consolidated power under his National Fascist Party?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr170", + "input": { + "question": "If TV Africa had not withdrawn their sponsorship when the tournament was relocated to Abidjan, which month and year would the tournament have taken place?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr234", + "input": { + "question": "If Mount Everest were 500 ft shorter, which mountain would be the highest on Earth?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr013", + "input": { + "question": "If the Covid-19 pandemic hadn't caused a global disruption in 2020, when would the movie RRR have been released?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr219", + "input": { + "question": "If Muman's Chief Brehon Baithen had not planned to retire in the Sister Fidelma mystery novels, which character would not have aspired to take his place?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr326", + "input": { + "question": "If Mark Boughton had not withdrawn from the original arrangement for the 2014 Connecticut gubernatorial election, who would have been his running mate?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr100", + "input": { + "question": "If Frederick W. Pelton had extended his term as mayor of Cleveland, Ohio by two years, in what year would his term have ended?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr293", + "input": { + "question": "If Tomohiro Nishikado had been born three years later than his actual birth year, in what year would he have been born?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr468", + "input": { + "question": "If Epps had not moved the song \"Big Amount ft Drake\" to the 2017 studio album \"Pretty Girls Like Trap Music\", in which year would it have been released on the mixtape \"Daniel Son: Necklace Don\"?" + }, + "output": { + "answer": "", + "explanation": "" + } + }, + { + "id": "cr024", + "input": { + "question": "If the 12 volcanic alignments in the southern hemisphere of Mars had been discovered before 2014, whose theory about the formation of Valles Marineris by lava instead of water would have been rendered unnecessary?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr040", + "input": { + "question": "If Vatican City were not considered, which would be the smallest sovereign state in the world?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr356", + "input": { + "question": "If alcohol is added to pure water, does the freezing point of the water increase or decrease?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr149", + "input": { + "question": "If the implementation of Phase 1 of Citi Bike hadn't been delayed until March 2013, when was it originally scheduled to start?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr285", + "input": { + "question": "If Mel Wasserman had not established any institutions, which educational organization would not have been created?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr081", + "input": { + "question": "If Frank Oz had performed in \"The Muppets\" in 2011, which film would have been his last \"Muppet\" film?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr104", + "input": { + "question": "If Donald Trump had not won Michigan in the 2016 presidential election, by how many electoral votes would his total have been reduced?" + }, + "output": { + "answer": [], + "explanation": [] + } + }, + { + "id": "cr130", + "input": { + "question": "If the movie Overboard had been released on April 13, 2018, which product would it have primarily competed with in the market?" + }, + "output": { + "answer": [], + "explanation": [] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Cybersecurity-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Cybersecurity-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..10f7c4353b883d454cff6e0c9b6435e1071e7161 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Cybersecurity-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "cybersecurity_ner", + "data_source": "cybersecurity_corpus", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0350", + "input": { + "raw_text": "FakeSpy Chunghwa Post version installation process and application UI .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0286", + "input": { + "raw_text": "But the apps , with their many millions of users , have captured the attention of the bad actors , too , who are exploiting the popularity of Netflix to spread malware .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0464", + "input": { + "raw_text": "Malicious iOS profile In the case of Apple devices , the downloaded malicious iOS profile gathers the following : Unique device identifier ( UDID ) International Mobile Equipment Identity ( IMEI ) Integrated Circuit Card ID ( ICCID ) Mobile equipment identifier ( MEID ) Version number Product number The profile installations differ depending on the iOS .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0338", + "input": { + "raw_text": "Deutsche Post - Deutsche Post DHL Group , a German multinational package delivery and supply chain management company headquartered in Bonn .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0060", + "input": { + "raw_text": "16311b16fd48c1c87c6476a455093e7a Screenshot capturing skype_sync2.exe 6bcc3559d7405f25ea403317353d905f Skype call recording to MP3 All modules , except skype_sync2.exe , are written in Python and packed to binary files via the Py2exe tool .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0253", + "input": { + "raw_text": "After the Anubis actor was allegedly arrested and the source code was leaked there was also huge increase in the number of Anubis samples found in the wild , but the new actors using Anubis have no support or updates .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0211", + "input": { + "raw_text": "] com , lending further credence the remaining two domains , gooledriveservice [ .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0374", + "input": { + "raw_text": "In contrast , on the emulator , a toast message is displayed that shows \u201c Install completed \u201d , at which point FakeSpy removes its shortcut from the device 's homescreen .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0287", + "input": { + "raw_text": "Recently , the ThreatLabZ research team came across a fake Netflix app , which turned out to be a new variant of SpyNote RAT ( Remote Access Trojan ) .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0336", + "input": { + "raw_text": "USPS is the most well-known branch of the US government and provides a publicly funded postal service .", + "prompt": "<<>>. Extract all cybersecurity entities and their types from this text. The possible entity types are: Indicator, Malware, Organization, System, Vulnerability. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Dependency-Parsing/annotation.json b/Scope-A/S-A-Quick/nlp/Dependency-Parsing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b5aa2520b21eb7ccbc15218581a56be50ac403e7 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Dependency-Parsing/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "dependency_parsing_mcq", + "data_source": "universal_dependencies", + "type": "multiple choice", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0430", + "input": { + "raw_text": "Always professional and reliable, sessions are good fun and suitably challenging.", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. knifings -> considering (nsubjpass)\nB. suitably -> Foundation (parataxis)\nC. suitably -> James (advmod)\nD. suitably -> challenging (advmod)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0147", + "input": { + "raw_text": "Marvel Consultants, Inc. 28601 Chagrin Blvd. Cleveland, Ohio 44122 USA Email: recruiters@marvelconsultants.com Phone: 216-292-2855 Fax: 216-292-7207", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. compare -> deal (ccomp)\nB. Blvd. -> please (list)\nC. Blvd. -> speakers (case)\nD. Blvd. -> Inc. (list)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0296", + "input": { + "raw_text": "My wife has a slight impediment in her speech.", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. OF -> appropriate (cop)\nB. . -> hibachi (punct)\nC. . -> has (punct)\nD. table -> wx10 (mark)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0339", + "input": { + "raw_text": "never response the phone call", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. call -> response (dobj)\nB. delay -> contact (list)\nC. call -> response (list)\nD. call -> On (dobj)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0281", + "input": { + "raw_text": "And they deliver!", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. And -> deliver (cc)\nB. And -> deliver (nummod)\nC. night -> daily (aux)\nD. acts -> Canadian (det:predet)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0410", + "input": { + "raw_text": "What are some Major land forms in Ireland?", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. Ireland -> move (nmod)\nB. Ireland -> forms (nmod)\nC. Ireland -> Jung (discourse)\nD. compelling -> Auckland (mwe)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0466", + "input": { + "raw_text": "Because Usamah is Saudi, my guess is that they were especially influenced by an extremist form of the Wahhabi school of Islam that predominates among Saudia's some 15 million citizens.", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. is -> Saudi (punct)\nB. is -> Saudi (cop)\nC. is -> LSU (nmod:npmod)\nD. is -> week (cop)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0416", + "input": { + "raw_text": "Abu Musab al-Zarqawi and his group are said to have been bitter rivals of al-Qaeda during the Afghan resistance days.", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. _ -> operation (punct)\nB. _ -> Zarqawi (root)\nC. Expect -> Zarqawi (nsubj)\nD. _ -> Zarqawi (punct)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0187", + "input": { + "raw_text": "I highly recommend Garage Pros to my friends.", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. another -> elsewhere (cc:preconj)\nB. Garage -> Pros (compound)\nC. Garage -> interpretation (amod)\nD. Garage -> Pros (cop)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0098", + "input": { + "raw_text": "I'm looking for a camera that has really good zoom during a video and pictures; and good quality pictures /videos", + "prompt": "<<>>\n\nWhich of the following dependency relations is correct for this sentence? \nIn the format \"head_word -> dependent_word (relation_type)\", where head_word is the governor and dependent_word depends on it.\n\nA. plan -> School (acl:relcl)\nB. 22,750,000 -> sports (neg)\nC. that -> has (auxpass)\nD. that -> has (nsubj)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Dialogue-Level-Sentiment-Quadruple-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Dialogue-Level-Sentiment-Quadruple-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..61e04dc275e773c1b50115de4f53b435e6f175f8 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Dialogue-Level-Sentiment-Quadruple-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "dialogue_level_sentiment_quadruple_extraction", + "data_source": "dialogue_reviews_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0009", + "input": { + "raw_text": "10u is too heavy , 10p is a bucket machine [ doge ] , 10u is better than 10p only for taking pictures and charging , and others are not as good as 10p [ doge ] The 10U 865 game experienc e is better than 10p . If you do n't believe me , you can compare . The 865 of 10 U is overclocked from the factory , and the optimization is also very good . 10U performance is also weakened and not so good not at all , 10u charging can greatly alleviate the impact of battery wear and tear , and the camera 's functional performance covers the gap brought about by the advancement of camera standards . I am also optimistic about 10u . Because the new Xiaomi serials , which are good than it , are not light . According to their feedback , the performance and charging of 10u have weakened after Xiaomi updated the system , and the charging weakened even more severely . The charging is indeed worse than before , but taking pictures is still the first echelon 10p only has the advantage of being relatively light and thin ... It ca n't beat ultra in other aspects ... It 's just that the base is large , so it may be used by a large number of people [ eat melon ] The screen is too bad", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0045", + "input": { + "raw_text": "Although Apple charges slowly , it consumes slowly Really?Did I buy fake goods ? Yes , you bought a fake , my apple can hold heavy use for a day after fully charged My xr is not worthy at all . I play occasionally at work , and there only be 27 when I get off work today . My girlfriend 12 came to play with me one day , at night it ran out of battery , my mate20 is a phone 3 years ago , it still has half of the battery [ rabbit][rabbit ] Mainly she 's playing on her phone , we do n't know what you 're playing [ doge ] I 'm playing with her [ Rabbit ] Huawei is fast charging , slow power consumption . My friend uses apple , and I see that he is either charging or is about to run out of power [ Yunbei ] You said the opposite . Apple is the slow power consumption . It is mainly because the battery is only 3,000 . This time the 13promax has reached 4,000 , which make it 's battery life better than basically all Android phones . The previous Apple battery was about 2,000 ma . And Apple is only have 4000 in 13 , the battery I bought for my mate30 two years ago is 4200", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0194", + "input": { + "raw_text": "I feel that the standard version of mix4 is better than 12 . I feel that 12 is too small . Buy 12 is not for small ? Stacking also requires technology And I have already been backstabbed once . At that time , the price of the mix4 was reduced not long after I bought it , and then gave a headset . I can only say that the mix4 is not much ahead of the Mi 10 I am using now , except for fast charging and taking pictures . No , taking pictures is also bad . This year 's fire dragon gen 1 does n't look good either . The small body of the Mi 12 dissipates heat , it is estimated that it will not be too good The mix4 is actually very strong for taking pictures ...................... Buy 12 just for its small But the grip feeling of 12 is really moved [ sad ]", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0087", + "input": { + "raw_text": "Apple has always been a plug - in baseband , and the chips are all used to stack transistors . Can the performance be not strong ? But it is still hot , frequency reduction . The processor of the mobile phones are all hot , the performance of Apple is strong , it ca n't be denied , and the signal is poor , it also ca n't be washwhited I 'm not smear it , the peak performance is strong , but it 's true that it wo n't last long . Whether it 's a dual - layer motherboard issue or not , but that 's true A real SOC But the signal is poor The more fragrant , the better the signal [ laughing without a word ] [ laughing without a word ] [ doge ] But the power consumption ca n't hold [ two ha ] But they are optimized well ! This is the truth To be precise , the system is well optimized , but it ca n't withstand high temperature and frequency reduction [ dig nose ]", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0051", + "input": { + "raw_text": "In fact , the design , screen , and experience of the Meizu 18 series are excellent , but the camera optimization has already opened the gap with the first echelon . In fact , Meizu is really excellent in many places , especially the small window experience is first - class , the photo and video experience is better than Huawei 's ( although the photo effect is average ) , and the motor experience [ laugh cry ] Last year and today , a lot of manufacturers have customized linear motors , how big is the size and how strong the performance is , but the actual experience is not as good as Meizu [ doge ] They ca n't improve , so just do some gimmicky gimmicks Yes Yes", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0094", + "input": { + "raw_text": "8 + 128 is 200 cheaper than Xiaomi Mi 10 , lacks 90hz refresh rate , lacks dual speakers , and is not as good as Xiaomi 10 for taking pictures . Has a headphone jack , smaller aperture than Xiaomi 10 , more fast charging than Xiaomi 10 , and the system is not as good as Xiaomi 10 . The system is not sure . It uses the brand new iQOOUI . Few people have experienced it . This iQOOUI is similar to hydrogen OS . It will take a while to compare iQOOUI and MIUI . The positioning of the two mobile phones is different , one is a gaming phone and the other is a high - end flagship , and there is no comparison . I have n't used MIUI , but I have used vivo mobile phones , and I feel that vivo 's system is not as good as the current Honor mobile phone system . vivo system optimization is not very good , iQOOUI is a brand new system , not many people have used it , after all , the new system is not very mature , I feel that iQOOUI is fine , a bit similar to hydrogen OS , relatively simple Honestly talking , it has HIFI , not just has the headphone jack [ eat melon ] The hifi chip AK1377a , the old stock of vivo , if there is a hard demand for listening to music on mobile phones , why not buy Sharp and LG .", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0193", + "input": { + "raw_text": "Where did you buy the wire copy ? Make money together [ too happy ] [ Cute ] The light sensitivity and color temperature are adjusted like ghosts . I do n't know where the courage came from to sell such a high price . Lost to death , pull me together to earn The color is a matter of opinion . In fact , if the after - sales service of the small factory is not so bad , the Meizu 18 is still a very good small - screen flagship , and it feels very good ! [ Erha ] Now waiting for Xiaomi 12x ... [ Single Dog ] Have you ever seen a screen with a color temperature that flashes back and forth between red and blue like ghosts ? The light sense is adjusted like a thousand yuan [ Erha ] This is my personal experience [ Erha][Erha][Erha ] I 'm still waiting for accessories ! It is said that at least a month ... This is the real thing . My classmate 's 18 also said that the motherboard was burned . About returned to the factory , it said that there was no stock and had to wait . After waiting for a month and a half , it also made up a 15 voucher . 18 is the one I recommended him to buy .", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0184", + "input": { + "raw_text": "12 No high refresh rate , small battery , just e - waste Popular models ca n't explain everything , so what can explain everything [ Erha ] market share ? profit margin ? Or something else ? I 'm just talking about performance , the performance of the popular model must be good ? That 's not what you said before If Apple 's new products are all e - waste , the rest can only be discussed from the ruins 12 indeed , 2200 mAh does not have a high refresh rate , and the screen is 5.4 . I feel that there is no need to buy this stuff . If you have this money , it 's better to buy 11Pro . It 's better than 12 . The GPU of the a14 is only increased by 8 % , and even the most basic charger is not provided for you Only increase , why you care how much it improves , as long as it is higher than the a13 , that is the ceiling of the mobile phone cpu , it can always be much better than your redmi k30 Thank you [ pig 's head ] [ pig 's head ] , funny [ two ha ] [ two ha ] You knew it again before releasing ? Wo n't it broke the news ? Are you stupid ? Let me tell you , if 12Promax has a high refresh rate , I get one for you , ok ? Really , is this also need to argue ? No charger and high refresh rate have been confirmed . I will reply to you when the press conference is over . Let 's wait and see . It 's cerebral palsy", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0159", + "input": { + "raw_text": "OPPO 's this folding screen is my favorite Android phone currently Every time a find in is sold , a mix fold is suffered from cyber violence It 's true , I dropped Xiaomi and replaced it with X2 , now I 'm ready to buy findN The same question , the Huawei one is too expensive , what is the difference between this and the Huawei one ? Huawei use the top camera ( the camera configuration of the same level as the Mate40Pro+ ) has a larger screen , a better textured ceramic and plain leather back cover , both internal and external screens have 90Hz , and the software is blessed by Hongmeng , that 's it . The price / performance ratio of OPPO is definitely much higher , but the top experience still should see Huawei . I still pay more attention to software adaptation en", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0181", + "input": { + "raw_text": "Because the 11 is also a mid - range product . He took the iphone 11 pro max , and the 10,000 yuan mobile phone was compared with Huawei 's more than 6,000 [ dig nose ] Oh oh well However , Huawei 's screen is not good at all , and iPhone is not very good , either . The most comfortable color is Samsung , which is really incomparable . Video is not considered , 11 with three cameras ? I do n't write carefully after reading the title , and expect me to watch the video carefully ? What , am I an auditor ? In the video , it is 11promax , and Huawei is a medium cup with mixed screens .", + "prompt": "<<>>. Extract all target-aspect-opinion-polarity quadruplets from this dialogue. Note that aspect, opinion, or polarity might be 'NULL' if not explicitly mentioned. Format each quadruplet as 'target => aspect => opinion => polarity' and separate multiple quadruplets with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Disease-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Disease-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..65bb1994e57be375e733d008d28c0b01605a9b8a --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Disease-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "disease_ner", + "data_source": "ncbi_disease_corpus", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0338", + "input": { + "raw_text": "Nonsense mutation in exon 4 of human complement C9 gene is the major cause of Japanese complement C9 deficiency", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0137", + "input": { + "raw_text": "The phenotypes and genotypes in one of these three families showed the father to be hypohaptoglobinemic ( Hp2 ) and Hp2 / Hpdel , the mother to be Hp2-1 and Hp1 / Hp2 , one of the two children to be hypohaptoglobinemic ( Hp2 ) and Hp2 / Hpdel , and the other child to be Hp1 and Hp1 / Hpdel , showing an anomalous inheritance of Hp phenotypes in the child with Hp1", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0048", + "input": { + "raw_text": "This mutation may be valuable for developing models of dominantly inherited neurodegeneration , as the early age of onset of symptoms suggests that this mutation may be particularly deleterious to the magnocellular neuron", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0192", + "input": { + "raw_text": "In approximately 5-12 % of these cases , there are no demonstrable cardiac or non-cardiac causes to account for the episode , which is therefore classified as idiopathic ventricular fibrillation ( IVF )", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0392", + "input": { + "raw_text": "Mutations in a novel gene ( WFS1 ) encoding a putative transmembrane protein were found in all affected individuals in six WFS families , and these mutations were associated with the disease phenotype", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0195", + "input": { + "raw_text": "Because IVF causes cardiac rhythm disturbance , we investigated whether malfunction of ion channels could cause the disorder by studying mutations in the cardiac sodium channel gene SCN5A", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0408", + "input": { + "raw_text": "To identify founder effects , we examined independently ascertained French Canadian cancer families for the distribution of these eight mutations", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0334", + "input": { + "raw_text": "His brain magnetic resonance image ( MRI ) showed abnormalities in the bilateral cerebellar hemispheres and brain stem , but not in the cerebral white matter , where marked reductions of the cerebral blood flow and oxygen metabolism were clearly demonstrated by positron emission tomography ( PET )", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0321", + "input": { + "raw_text": "We conclude that these mice very closely mimic severe human von Willebrand disease and will be very useful for investigating the role of vWf in normal physiology and in disease models", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0205", + "input": { + "raw_text": "Most mutations in DDS patients lie in exon 8 or exon 9 , encoding zinc finger 2 or zinc finger 3 , respectively , with a hot spot ( R394W ) in exon 9", + "prompt": "<<>>. Extract all disease entities and their types from this text. The possible entity types are: CompositeMention, DiseaseClass, Modifier, SpecificDisease. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Document-Level-Causal-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Document-Level-Causal-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..eaea70becf5908e6af711ab4553efcea5002b9cc --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Document-Level-Causal-Reasoning/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Document-Level Causal", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "dcr088", + "input": { + "question": "How did Kool Herc use two turntables?", + "context": "Electronic music. Electronic music intended primarily for dancing at nightclubs and raves. Electronic dance music (EDM), or simply \"dance music\", is characterized by rapid evolution - hundreds of subgenres and hybrid genres have been created since its inception in the 1980s. Whereas EDM has achieved widespread popularity in Europe and the UK, it remains a comparatively underground phenomenon in the United States. The production and distribution of EDM has not been particularly adaptable to the American music industry, whose practices have been largely shaped by rock and pop. In addition, because EDM does not follow a standard song structure and often features very lengthy tracks, it does not easily lend itself to commercial radio. Ironically, while EDM culture operates below the radar in the United States, it can be heard frequently in American television programs, films, advertisements, and video games. EDM is produced \"from the beats up\", in that melodies, vocals and sound effects are layered over a steady beat. A notable feature of many EDM tracks is the utilization of Sampling and sequencing, hip hop, a practice in which a discrete portion of sound is recorded and then inserted into a new piece of music. Ethical and legal issues notwithstanding, EDM producers and DJs capitalize on the creative impulse to reuse, recycle, or rework previously created material. 1. Roots Some of the earliest structures and concepts that inform EDM production include Italian futurist Luigi Russolo's \"noise music\" (1913). Russolo created instruments that reproduced the sounds of industry and machines (intonarumori), and composed pieces incorporating these sounds. The concept of music as the sound of everyday life reappeared in 1948, as experimentalist composers Pierre Henry and Pierre Schaeffer pioneered a technique of musical composition called musique concr\u00e8te. Various sounds were recorded onto reel-to-reel tape, which was cut and spliced together to construct a piece of music. The advent of digital sampling in the 1980s made this process easier and more deliberate. In the 1970s Jamaican-born Kool herc, a pioneering hip-hop DJ, invented a practice similar to sampling. Calling his technique \"the merry-go-round\", Herc would place two copies of the same record on two separate turntables, so that he could play the drum break on one copy and replay it on the other copy, creating the effect of a continuous loop. DJs such as Grandmaster Flash continued Herc's practice of looping drum breaks on two turntables, making it quicker and more precise. This technique has proven highly influential to EDM producers, many of whom began using looped drum breaks as the basis of their tracks. (See also Turntablism.) In the 1960s and 1970s, Jamaican dub reggae producers like Osbourne \"King Tubby\" Ruddock, and Lee \"Scratch\" Perry produced remixes (or \"versions\") of reggae singles - a practice that would later be adopted by EDM producers and DJs. King Tubby also experimented with various studio techniques that emphasized bass frequencies, so that his tracks would make a greater impact when played on sound systems at dance parties. The emphasis placed on bass in a dance party environment has carried over into EDM and rave culture. The early sound of EDM, especially electro and techno, owes a great debt to the German group Kraftwerk. In addition to making extensive use of electronic instruments - synthesizers, drum machines, and vocoders - the group perpetuated a mythos about technology and the future in songs such as \"Trans-Europe Express\" and \"Autobahn\". The disco producer Giorgio Moroder's work in the late 1970s was also influential. Moroder eschewed the symphonic flourishes of early disco in favor of an overtly electronic, \"futuristic\" sound, which relied heavily on sequencers. The 1977 smash hit \"I Feel Love\" was entirely synthesized, with the exception of Donna Summer's vocals. The Japanese band Yellow Magic Orchestra and British synth-pop groups such as the Human League and Depeche Mode also influenced many early producers of EDM. 2. Technologies. EDM was initially created with drum machines, sequencers and synthesizers. The proliferation of cheap, portable synthesizers in the early 1980s - most famously the Roland TB-303 \"bass synthesizer\" and the Roland TR-808 and TR-909 drum machines - allowed synthesizer-based music to move from research labs, recording studios, and concert halls to more casual, egalitarian confines. (See Synthesizer.) The Linn LM-1 Drum Computer, the first drum machine to use digital samples, was introduced in 1980 at a retail price of around $5000; its successor, the Linn Drum, released in 1982, was somewhat more affordable. While the Linn Drum gained favor with popular mainstream artists such as Prince and the Human League, its price was still out of reach for the average producer. The Roland TR-808, which would become a bedrock of techno, hip-hop and house music, retailed at one-fifth the price of the LM-1, around $1,000 upon its initial release in 1980. It was an analog drum machine, which produced tinny, less realistic drum sounds than the Linn LM-1, which sampled acoustic instruments. But its price, ease of use (its colored buttons made it look like a toy) and distinctive presets, such as the cowbell sound, made it extremely popular. EDM's growth was also spurred by the introduction of the MIDI (Musical Instrument Digital Interface) protocol in 1983. MIDI allowed subsequent drum machines such as the Roland TR-909 to synchronize easily with other electronic devices. (See Electronic percussion.) Since the early 1990s, computer software has greatly facilitated EDM production. Programs like Reason, Cubase, and Ableton Live provide producers with a virtual sequencer, sampler, drum machine, and soundbank of a wide range of musical instruments. Such equipment enables producers easily to incorporate various effects such as reverb, delay, compression and equalization. 3. EDM in performance. Electronic dance music's performance in nightclubs has traditionally relied on DJs mixing 12-inch vinyl records on two turntables. This common setup was used by pioneering disco and hip-hop DJs in the 1970s to construct continuous mixes for dancers. Disco DJs such as Francis Grasso and Larry Levan advanced new turntable techniques designed to meet the demands of the dance floor. Grasso pioneered \"slip-cueing\" - holding the vinyl record still with his hand while the platter continued to turn underneath, allowing the record to be cued at a specific time. Grasso also helped develop the technique of \"beatmatching\" - matching the tempo of two records with each other, on two turntables, allowing for seamless mixing. Levan constructed continuous DJ mixes stretching over several hours at the legendary Paradise Garage club in downtown Manhattan in the mid-1970s, augmented with live effects and creative use of crossfaders and equalizers. (See also DJ (ii).) The main purpose of an EDM DJ, in a club or at a rave, is to take listeners/dancers on a type of musical journey. Because EDM is most often played for long stretches of time, DJs have to pace their sets by playing a combination of uptempo and downtempo music. Typically, a DJ begins with slower, mellow tracks, then gradually builds energy on the dancefloor with louder, faster and more well-known tracks. Experienced DJs have perfected the art of reading a crowd, choosing tracks whose style and character serve to maintain activity on the dancefloor through musical peaks and valleys. Yearly large-scale EDM festivals such as Winter Music Conference, Movement: Detroit's Electronic Music Festival, Moogfest and Electric Zoo Festival feature both EDM pioneers and upcoming DJs and producers. 4. EDM genres. Electro, short for \"electro-funk\", was the first electronic dance music genre of the 1980s to gain wide appeal. The sound of electro was brittle, spacey and completely electronic, often lyrically infused with sci-fi or futuristic themes. The Roland TR-808 was the drum machine of choice in most early electro tracks, and vocals were often fed through a vocoder to generate an eerie, robotic effect. Electro exhibited a good deal of crossover with early hip-hop, emblematized by \"Planet Rock\" (1982) by Afrika Bambaataa and the Soulsonic Force, Produced by Arthur Baker, the song paid literal tribute to Kraftwerk by incorporating elements of two of their songs, \"Trans-Europe Express\" and \"Numbers\". The seminal Detroit electro group Cybotron, formed in 1980 by Juan Atkins and Richard \"3070\" Davis, helped pave the way for the subsequent growth of Detroit techno. Techno and house music were birthed in the Midwest; techno was invented in Detroit in the early 1980s, and house was a product of Chicago in the mid-1980s. Named for their neighborhood west of Detroit, the \"Belleville Three\" - Juan Atkins, Kevin Saunderson, and Derrick May - were associated most strongly with techno's roots. Though producers such as May were associated with a more lyrical, soulful version of techno music, techno, for the most part, implied a harder sound, underpinned with a steady 4/4 beat hovering between 120-140 beats per minute. In contrast, house music, which owed more to the legacy of disco, was slightly slower in tempo and more likely to incorporate vocals, strings, and other flourishes. The term \"house\" is said to have come from the Warehouse club in Chicago, where house pioneer Frankie Knuckles was the resident DJ. In Chicago venues such as the Warehouse and the Music Box, this emerging sound flourished, fostered by ace DJs like Frankie Knuckles and the late Ron Hardy, and furthered by labels such as Trax and DJ International. House wasn't one sound, but a wide panorama of sounds, encompassing everything from the tender, moving melodies of Larry Heard to the twitchy, futuristic \"acid house\" of Phuture. House music, in its early days, often sported this signature \"acid\" sound - the rubbery, \"squelchy\" timbres of the Roland TB-303. Acid house would gain major commercial success in the UK a few years later, dovetailing with the rave movement that exploded in the late 1980s and early 1990s. Street drugs like LSD, mushrooms, and most notably MDMA (ecstasy), became increasingly popular with EDM audiences. MDMA had a particular synergy with electronic dance music for a number of reasons. First, as a psychedelic amphetamine, it offered a powerful stimulant for late-night DJ sets in clubs that fueled dancers well into the morning. Second, its mechanism of action - which causes the release of large amounts of the feel-good chemical serotonin, along with the neurotransmitters dopamine and norepinephrine - led to feelings of profound euphoria, empathy, and intimacy. The drug's array of physiological and psychological effects worked in tandem with acid house DJ sets, sending dancers on a musical and emotional journey. In London, clubs such as the exceedingly popular Shoom, were the gateway to rave culture, which soon became a global movement. Rave culture grew as well in response to the UK's high population density and its network of pirate radio stations that promoted EDM. By 1991, there were reports of up to 50,000 people attending large open-air raves in the UK. In the United States, rave culture spread more sporadically, in part because of strong competition with West Coast hip hop, alternative rock, and grunge. The closest that EDM came to being a mainstream phenomenon in the United States was in the 1990s, when music videos by acts such as the Chemical Brothers and the Prodigy became mainstays on MTV rotation. As the 1990s progressed, acid house, techno, and breakbeat hardcore (a genre based on drum breaks from funk and soul records) morphed and merged, creating ghettotech and ghetto house, Miami bass, Baltimore club, trance (or psytrance) and drum 'n' bass (or jungle). EDM continued to grow and splinter, producing new subgenres such as techstep, 2-step, so-called \"intelligent dance music\" or IDM, glitch, and so on. In the 21st century, genres such as grime and dubstep have attracted audiences in the UK as well as the United States and abroad. With the advent of the digital work station, cheap mixing/recording software, Internet exchange boards and self-distribution, the start-up costs for a prospective EDM producer are much lower than ever before. So it is not a surprise today to find new forms of EDM being produced all over the world, from India to South Africa, Israel to Japan and beyond. Incorporating traditional and popular musics close to home, artists such as Talvin Singh, Badmarsh and Shri, Cheb i Sabbah, Transglobal Underground, Banco de Gaia, and Fun-Da-Mental, have created versions of EDM that reflect their local experiences and identity. In this way, EDM has truly become a global phenomenon. Copyright (C) Oxford University Press 2007-2013. be rewrittenElectronic dance music, also known as EDM, is a type of music that originated in the 1980s and has gained widespread popularity in Europe and the United Kingdom, but remains relatively underground in the United States. The production and distribution of EDM have not been particularly adaptable to the American music industry, whose practices have been largely shaped by rock and pop. In the 1970s, Jamaican-born Kool herc, a pioneering hip-hop DJ, invented a practice similar to sampling. He called his technique \"the merry-go-round,\" which involved placing two copies of the same record on two separate turntables so that he could play the drum break on one copy and replay it on the other copy, creating the effect of a continuous loop. DJs such as Grandmaster Flash continued herc's practice of looping drum breaks on two turntables, making it quicker and more precise. This technique has proven highly influential to EDM" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr194", + "input": { + "question": "What countries are part of Arctic 5?", + "context": "Preventing a Blowout in the Arctic By Julia Heath, February 15, 2012 arctic-drilling-russiaIn September 2011, Vladimir Putin announced a program to begin offshore oil and gas exploration and drilling in the Russian Arctic. Putin is also interested in creating new sea terminals, which he said would rival the Suez and Panama Canals. In 2008, the U.S. Geological Survey (USGS) estimated that 13 percent of the world\u2019s undiscovered oil and 30 percent of the world\u2019s undiscovered gas lay beneath the Arctic Seas. The United States, Canada, Norway, Greenland, and Russia, which make up the Arctic 5, are each interested in tapping these Arctic energy reserves. Russia, the largest oil producer of the five, gets nearly half of its Gross Domestic Product (GDP) from oil exports, a level comparable to Saudi Arabia. As a result, Putin perceives fossil fuels as vital to Russia\u2019s economy and political stability. However, the extreme Arctic climate, characterized by unpredictable weather patterns, heaving sea ice, sub-zero temperatures, dense fog, and darkness half the year, requires specialized equipment. Russia holds a technological advantage over the other Arctic countries because it has already invested in 20 icebreakers, while Canada has 12 and the United States only one. Russia signed a deal with British Petroleum last month to explore the Arctic. Therefore, Russia is currently leading the extractive assault. \u201dThe Gulf of Mexico is perhaps the most well-equipped region on the planet to deal with a massive oil spill,\u201d says Lisa Speer of the National Resource Defense Council (NRDC), \u201cand we had a really hard time dealing with that.\u201d British Petroleum (BP) is one of the companies interested in drilling in Russia, along with Exxon Mobile and the Norwegian-owned Statoil. In 2010, BP proved woefully unprepared to respond to the Deepwater Horizon oil spill. Unlike the Gulf, the Arctic region lacks basic infrastructure needed for spill response. For example, much of northern Russia, Canada, and Greenland lacks roads or airports, and there are only limited communications facilities. In Alaska, the nearest Coast Guard station is nearly 1,000 miles away. The lack of safety infrastructure combined with the extreme weather conditions is a red flag that BP\u2014or any other oil company\u2014is not prepared for Arctic oil extraction at this time. Arctic drilling is perilous for both employees and the environment. Impact of Global Warming Summer polar ice is projected to thaw completely by 2030. Entrepreneurs see this as an asset to be developed for trade and tourism. In 2011, America\u2019s National Snow and Ice Data Center showed that ice covered 1.67 million square miles of the Arctic Ocean, with about half typically melting in the summer. However, in the past five years, the Arctic has lost up to two-thirds of its sea ice every summer. The more ice that melts, the greater the Arctic Ocean warms because the light-colored icecaps reflect warmth from the sun while the dark-colored ocean absorbs it. According to the UN Environment Program, soot from incomplete combustion, crop burning, forest fires, wood stoves, and diesel engines -\u2014 \u201cblack carbon\u201d \u2014 also absorbs heat and is often washed into icecaps through rain or snow. An oil spill would darken sea ice and increase its capacity to absorb heat and hasten melting, as would increased pollution from the CO2-intensive development of Arctic infrastructure such as roads, platforms, tankers, ports, and pipelines. Additionally, as the tundra thaws and shrubbery and other darkly colored plants gradually migrate northward, they will also increase heat absorption in the Arctic. The thawing tundra makes developing roads, airports, bridges, pipelines, and other necessary infrastructure extremely unstable, adversely affecting poorly maintained pipelines as well as new infrastructure. An unprecedented number of polar bears have drowned because of dwindling summer sea ice. Narwhal, walrus, and both bowhead and beluga whales, in addition to many kinds of seals and birds, will also continue to suffer from both Arctic warming and pollution. As climate change transforms the Arctic, species from warmer waters will move northward and further change the ecosystem. The killer whale, which feeds on narwhal, walrus, seal, and beluga and bowhead whales, has been increasing the duration of its Arctic visits. Other animals from warmer waters are endangering the habitat and food supply of native species. Arctic drilling would exacerbate this already serious problem. Moreover, drilling produces toxic waste that requires proper disposal. Arctic species that already suffer from global concentrations of pollutants are sensitive to changes in climate and are relatively slow to adapt. Arctic development, increased pollution, and the possibility of toxic waste and oil spills \u2014 in addition to a current lack of adequate response mechanisms \u2014 put Arctic wildlife and those who depend on it at risk. Indigenous peoples who have traditionally relied on the provisions of the Arctic include the Inuit in the United States, Canada, Greenland, and Russia, the Sami in Norway, and the Nenets in Russia. The Siberian Nenets have traditionally practiced reindeer herding, hunting, and fishing. Over half of Russia\u2019s oil comes from West Siberia. The Nenets have criticized roadwork and bridge building in the area for blocking rivers that then flood and destroy pastureland and hinder reindeer and fish migration. Reindeer can hurt their hooves on glass or sharp metal left from industrial development, causing fatal infections. The Sami reindeer herders of Norway have corroborated that melting and development result in reduced reindeer populations. Development will continue to increase pressure on the traditional livelihoods of the Nenets and other native peoples as the quest for black gold ravages the Arctic Circle. The Russian Record Russia has had a terrible environmental record and a history of oil spills. The area around Usinsk, just south of the Arctic Circle, is home to what the Huffington Post calls \u201cthe world\u2019s worst ecological oil catastrophe,\u201d where leaks in a decommissioned oil well wreaked havoc in 2011. It wasn't the first such incident. In 1994, the town suffered the third largest oil spill in history. A pipeline in Usinsk had been leaking for eight months when the dike containing the leakage collapsed, spreading 102,000 tons of oil across the tundra, into the Kolva and Rechora rivers, and eventually into the Barents Sea. The leak, eight times larger than the Exxon Valdez spill, was the result of old, corroded, poorly maintained, and over-pumped pipelines. The company responsible, Komineft, had five major accidents in the area between 1986 and 1994. In 1994, Russia was losing an estimated 20 percent of the oil it extracted, but refused to revamp inefficient and environmentally detrimental Soviet pipelines for fear that the break in production would lessen the Russian hold on former Soviet republics and interfere with loan repayment. More recently, Greenpeace, the World Wildlife Fund, and the Institute of the Environment and Genetics of Microorganisms have estimated that Russia continues to spill 5 million tons of oil every year, or as the Huffington Post put it, \u201cone Deepwater Horizon-scale leak about every two months.\u201d Vladimir Chuprov, head of the Arctic campaign for Greenpeace Russia, said that Greenpeace International is absolutely against all offshore drilling in the Arctic. Even the U.S. Minerals Management Service estimates a one in five chance of a major spill occurring over the life of just one lease block on Alaska\u2019s outer continental shelf (OCS). Greenpeace International wants to accord the Arctic a world park status similar to Antarctica. At the very least, they demand that the international community provide strict standards to eradicate the risk of oil spills and require mandatory guarantees that any spills will be mitigated at a cost no less than what was spent on the Deepwater Horizon spill. Like Greenpeace International, the NRDC also advocates mandatory international standards on how to develop the Arctic. According to Lisa Speer of the NRDC, the United States doesn \u201chave enough information to be able to determine whether or not oil and gas activities can be conducted safely (in the Arctic). And we don have the ability to contain and clean up oil in ice, and therefore we think we should wait for drilling in the Arctic until we do have the ability to deal with that.\u201d At a forum on Arctic drilling in January 2012, Andrew Hartsig of the Ocean Conservancy recommended that the United States wait until it has a better hold on the technological requirements of Arctic drilling. However, the U.S. Bureau of Ocean Energy (BOEM) representative Shoshana Lew replied that the federal five-year leasing plan for blocks on Alaska\u2019s OCS would not be deferred until exploration was complete. Putin abolished the Russian Environmental Agency in order to more easily access Arctic extraction that would otherwise require environmental assessments. This is particularly disconcerting because the Arctic region, according to the UN Environment Programme, \u201cis characterized by some of the largest continuous intact ecosystems on the planet,\u201d and therefore environmentally detrimental projects in the region should require careful consideration and planning. The United States has been slow to invest in developing its own Arctic energy reserves for fear of ecological devastation. However, it has not done enough to slow development in nearby Russia. Russian offshore drilling is a crucial issue for Americans because polar currents could make an Arctic oil spill into a transnational event. A Russian Arctic oil spill would rapidly become a cultural, ecological, and economic disaster for the United States as well. Avoiding a Spill In 2009, the Arctic Council \u2014 which consists of eight Arctic states and six international organizations representing indigenous people in the region \u2014 recommended that the Arctic states cooperate and pool resources regarding environmental and search-and-rescue response resources and technology, infrastructure creation for navigation in addition to charts and communications, shipbuilding standards, and guidelines on oil and gas exploration. However, Lisa Speer criticizes the Arctic Council for focusing more on containment and response than on prevention. Speer thinks the Council must identify the most sensitive species and ecosystems to determine areas where drilling will have the least ecological impact. Russia must focus on pipeline efficiency before investing in the Arctic. Greenpeace\u2019s Chuprov says that offshore oil stocks in Russia are a myth. For example, Russia produced approximately 500 million tons of oil in 2010. By 2020, the Russian OCS is only expected to contribute 10 million tons of oil, only twice the amount that Russia loses each year in degraded pipeline spills. The Gazprom manager even claimed, \u201cinvestment in the development of new fields and energy efficiency are competing with each other.\u201d The Russian Federation must focus regulations and state investments in efficiency before it invests more heavily in extremely risky Arctic offshore drilling and the technologies that it requires. The United States should make a greater effort to play a lead role in creating an international framework on Arctic development with a focus on spill prevention as well as spill response, cleanup, and restoration. Furthermore, it should continue to strictly regulate offshore drilling in the Alaskan OCS and increase domestic safety and environmental regulations in response to the Deepwater Horizon event. The prospect of a massive spill in the Arctic demands immediate action. How would you rephrase the following text using synonyms and alternative phrasing?What are the potential consequences of Arctic drilling for the environment and local communities?AssistantDrilling for oil in the Arctic poses significant risks to both the environment and the local communities that rely on it. The Arctic region is unique due to its harsh climate and fragile ecosystems, making it particularly vulnerable to the effects of pollution and environmental degradation caused by oil spills. The potential consequences of drilling in the Arctic include damage to marine life, loss of biodiversity, and disruption of indigenous communities' way of life. The impacts of drilling on the environment and local communities cannot be overstated, and urgent action must be taken to ensure that the Arctic remains healthy and sustainable for future generations." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr113", + "input": { + "question": "What event in 1958 threatened the future of the orchestral film score?", + "context": "Film Music. 3. Hollywood. The major Hollywood studios of the so-called Golden Age (c1935-55) were MGM, Paramount, RKO, Warner Brothers and 20th Century-Fox. Each housed a permanent music department, with contracted composers, arrangers, orchestrators, librarians and music editors, as well as a resident orchestra, all working under a senior music director. The heavy emphasis on commercially viable narrative films, and intense pressures on production staff to maintain a prolific output, inevitably led to stereotyped scoring in which the work of one composer was readily interchangeable with another's; many low-budget movies were \"tracked\" with music from previous productions until this practice was prohibited in 1944. The majority of early composers shared Steiner's European and/or Broadway background, and moved with ease from high Romanticism to Gershwinesque symphonic jazz as required. Steiner won RKO an Academy Award for his score to \"The Informer\" in 1935; the best-score category had been introduced in the previous year, and for the first four years of its existence it was awarded to studio music departments, not composers. In his later music for romantic melodramas, including \"Gone with the Wind\" (1939), Steiner preserved a link with silent-cinema traditions by incorporating allusions to easily recognizable melodies such as Civil War songs and national anthems where dramatically justified. In \"Casablanca\" (1942) he transformed the diegetic popular song \"As Time Goes By\" to provide narrative comment in the background score. The conventions of the \"classical\" Hollywood film score in the Golden Age - essentially a leitmotif-based symphonic romanticism with narrative orientation, the music almost always subordinated to the primacy of the visual image and dialogue - prevailed in scores by other expatriate musicians. Work for European immigrants was promoted by the European Film Fund (founded in 1939), an initiative followed by MGM and Warner Brothers. At Warner, the Viennese composer Erich Wolfgang Korngold provided flamboyant scores to the series of Errol Flynn costume dramas including \"Captain Blood\" (1935), \"The Adventures of Robin Hood\" (1938) and \"The Sea Hawk\" (1940), bringing the romantic-operatic style to its early highpoint. The German-born composer Franz Waxman developed a style of underscoring suited to the horror genre pioneered by Universal, where he was head of the music department, an early example being James Whale's \"The Bride of Frankenstein\" (1935); Waxman also exploited pre-existing musical structures such as fugue and passacaglia where these suited the narrative. The Hungarian composer Mikl\u00f3s R\u00f3zsa (who had worked for his compatriot, the producer Alexander Korda, in London before moving to Hollywood in 1939) and Dimitri Tiomkin (originally a silent-cinema pianist in Russia) both proved exceptionally versatile. R\u00f3zsa served as Professor of Film Music at the University of Southern California from 1945 to 1965, and his scores for epic productions in the 1950s were especially influential (see below). The success of Tiomkin's score to the western \"High Noon\" (1952) initiated a craze for the \"theme score\", based largely on a main-title melody or song. Other immigrant composers included Daniele Amfitheatrof, Adolph Deutsch, Ernest Gold, Werner Heymann, Friedrich Hollaender, Bronislaw Kaper and Cyril Mockridge; their American contemporaries included George Antheil (also an early film-music critic), David Buttolph, Hugo Friedhofer, John Green and Ray Heindorf (the two last specializing in musicals), Herbert Stothart and Victor Young. The leading native American film composer in this period was Alfred Newman, another musician who had moved from Broadway to Hollywood. Newman was music director at 20th Century, for which he composed his famous fanfare in 1935, the year in which the company merged with Fox; he held the music directorship of 20th Century-Fox from 1939 until 1960. By his death in 1970 he had completed over 200 scores (of which the last was \"Airport\" in 1969) and received nine Academy Awards and 45 nominations. (The Newman family has remained prominent in Hollywood to this day: Lionel Newman was Alfred's brother, David and Thomas Newman are his sons and Randy Newman his nephew). In addition to his creative achievements, Newman was renowned as a sensitive music director and talent-spotter, and furthered the careers of young native talents such as David Raksin and Jerry Goldsmith. Raksin established his reputation with an inventive score to the unorthodox detective thriller \"Laura\" (1944), important equally for its near monothematicism (the main-title theme became a hit when lyrics were added by Johnny Mercer after the film's release), its subtle blurring of the distinction between diegetic and extra-diegetic music, and its canny blending of popular and art-music styles. In the wartime genre of film noir underscoring achieved a harmonic and textural sophistication (including novel instrumental colours and expressionistic dissonances) generally lacking in other genres. Fine examples were composed by R\u00f3zsa (\"Double Indemnity\", 1944) and Roy Webb (\"Farewell my Lovely\", 1944; \"The Spiral Staircase\", 1945). Copland's film scores - including \"Of Mice and Men\" and \"Our Town\" (both 1940), \"The Red Pony\" and \"The Heiress\" (both 1949) - encouraged American composers to explore a new clarity of texture and simple diatonicism. The strong flavour of American folk music in this style, which extends back to Virgil Thomson's score for the Depression documentary \"The Plow that Broke the Plains\" (1936) and was later represented by Friedhofer's to \"The Best Years of our Lives\" (1946), made it well suited to rural or western scenarios; it had a significant impact on scores for the latter genre composed by Jerome Moross, whose music for \"The Big Country\" (1958) was widely imitated, and Elmer Bernstein (\"The Magnificent Seven\", 1960; \"True Grit\", 1969). Bernstein's work in the 1950s often favoured smaller instrumental ensembles than the traditional studio orchestras, and his output has remained prolific and varied. Dissonant modernism came to the fore in a high-profile score by Leonard Bernstein (\"On the Waterfront\", 1954) and in Leonard Rosenman's partly atonal music for the James Dean vehicles \"East of Eden\" and \"Rebel without a Cause\" (both 1955), strongly influenced by Berg and the Second Viennese School; the gritty realism of the director Elia Kazan stimulated this trend. Serial techniques were occasionally employed: examples include Rosenman's \"The Cobweb\" (1955) and \"Fantastic Voyage\" (1966), R\u00f3zsa's portrayal of Satanic elements in \"King of Kings\" (1961) and Jerry Fielding's \"Straw Dogs\" (1971). The career of Bernard Herrmann, who provided critically acclaimed scores for the directors Orson Welles (\"Citizen Kane\", 1941; \"The Magnificent Ambersons\", 1942), Alfred Hitchcock (\"Vertigo\", 1958; \"North by Northwest\", 1959; \"Psycho\", 1960), Fran\u00e7ois Truffaut (see \u00a74) and Martin Scorsese (\"Taxi Driver\", 1976), set a new standard in essentially non-thematic but highly atmospheric and economical underscoring, with dissonant harmonies, resourceful instrumentation and often disquieting ostinato figurations. In the field of animation, film scores quickly achieved a formidable virtuosity. The Disney studio, founded in 1923, added a soundtrack to \"Steamboat Willie\" in 1928, promoted the hit song \"Who's Afraid of the Big, Bad Wolf?\" in \"The Three Little Pigs\" (1933) and thereafter specialized in comic shorts and full-length animated musicals, the first of which was \"Snow White and the Seven Dwarfs\" (1937), with music by Frank Churchill. \"Fantasia\" (1940) comprised inventive and witty scenes cut to famous pieces of classical music conducted by Stokowski. Eisenstein admired Disney's work for its close integration of image and music, and the term \"mickey-mousing\" (i.e. musical effects directly synchronized with, and illustrative of, specific actions on screen) was adopted in live-action cinema, where it had proved especially appropriate in slapstick comedy. At Warner Brothers, Carl Stalling composed for the Bugs Bunny series between 1936 and 1958, while at MGM in the same period Scott Bradley wrote witty, jazz-inflected music for the Tom and Jerry cartoons; his score to \"The Cat that Hated People\" (1947) used a 12-note row with its retrograde to represent the antics of cat and mouse, while \"The Cat Concerto\" of the same year was cunningly cut to an adaptation of Liszt's Hungarian Rhapsody no.2. Established Hollywood film composers who contributed to full-length animated features include Raksin (\"The Unicorn in the Garden\", 1953), Rosenman (\"The Lord of the Rings\", 1978) and Hans Zimmer (\"The Lion King\", 1993), while Disney's musicals have since 1989 been dominated by the work of Alan Menken. The boom in television viewing in the 1950s threatened to diminish cinema audiences, who were lured into movie theatres by new gimmicks such as widescreen and 3-D presentation. Four-track stereophonic sound was introduced in the first CinemaScope production, \"The Robe\" (1953), with a score by Alfred Newman; alongside the greater flexibility of editing techniques made possible by the introduction of soundtrack recording on 35 mm magnetic tape in 1950, the increase in audio quality was significant. Lavish historical epics were ideal for the grandeur of widescreen presentation, and commanded budgets of which television companies could only dream. For these, R\u00f3zsa developed a manner of underscoring which drew heavily on organum techniques and quartal harmony to create a pseudo-archaic style, backed up by careful historical research, for the Roman epics \"Quo vadis?\" (1951), \"Julius Caesar\" (1953) and \"Ben-Hur\" (1959), and the Spanish epic \"El Cid\" (1961); composers influenced by this style included Alex North (\"Spartacus\", 1960; \"Cleopatra\", 1963). Increasing competition from television, coupled with the demise of the permanent studio orchestras precipitated by a damaging musicians' union strike in 1958, made the survival of mainstream Hollywood scoring in the 1960s less than certain: commercially targeted youth audiences ensured that jazz (see \u00a75), electronic scores (see \u00a76) and pop music (see \u00a77) came to dominate the market. However, the success of full-blooded orchestral scores by composers such as Jerry Goldsmith (\"The Blue Max\", 1966; \"The Omen\", 1976; \"Star Trek: the Motion Picture\", 1979) and John Williams (\"Jaws\", 1975; \"Star Wars\", 1977; \"Raiders of the Lost Ark\", 1981; \"E.T.\", 1982) steadily steered film music back towards its traditional symphonic realm. A fluid balance between lyrical and dissonant orchestral scoring, jazz, electronics, popular song and non-Western or traditional music, and rock-tinged percussiveness prevails in the work of contemporary Hollywood composers such as Carter Burwell, Bill Conti, Randy Edelman, Cliff Eidelman, Danny Elfman, Elliot Goldenthal, Dave Grusin, James Horner, James Newton Howard, Mark Isham, Michael Kamen, Thomas Newman, Basil Poledouris, Graeme Revell, Marc Shaiman, Howard Shore, Alan Silvestri and Hans Zimmer. More exceptional have been the extended minimalist soundtracks supplied by Philip Glass for the non-narrative films \"Koyaanisqatsi\" (1983) and \"Powaqqatsi\" (1988), although his music for \"The Secret Agent\" (1996) revealed a grasp of more conventional expressive techniques. Copyright (C) Oxford University Press 2007-2013. be able to complete" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr254", + "input": { + "question": "What are countries of the Global South asking for?", + "context": "AIDS policy in the U.S. remains deeply influenced by greed, religious dogma, and a disregard for women's rights, hindering progress in combating the epidemic. Despite significant advances in understanding the disease, U.S. policy prioritizes pharmaceutical profits over access to affordable treatment, particularly in the Global South, where most AIDS patients live. Patents on AIDS drugs prevent the production of cheaper generic medications, exacerbating the crisis.Religious ideologies also shape U.S. AIDS prevention strategies, with a heavy emphasis on abstinence and fidelity while downplaying the role of condoms. This approach has proven ineffective, as seen in Uganda, where HIV rates doubled after shifting the focus from condoms to abstinence. U.S. policy also undermines women\u2019s rights, especially in sub-Saharan Africa, where women represent the majority of new infections. The focus on abstinence ignores women's lack of power in sexual relationships, and the global gag rule prevents clinics from providing comprehensive health services, including abortion.The solution lies in a human rights-based approach to AIDS prevention and treatment. U.S. policy should support the use of generic AIDS medications to ensure universal access to treatment, and prioritize education, condom distribution, and women\u2019s empowerment in sexual health decisions. The U.S. should uphold commitments made in international agreements like the Doha Declaration to ensure affordable medicine for all. Furthermore, Congress should repeal the global gag rule and refocus U.S. funding on comprehensive, effective AIDS strategies that respect human rights." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr234", + "input": { + "question": "When did mortality begin to decrease in Africa?", + "context": "AIDS in Africa and Black America. By Kwei Quartey, October 11, 2012 Thirty years ago, the CDC reported the first cases of HIV/AIDS in New York and Los Angeles. Initially thought to be a disease of gay white men, AIDS is now a global epidemic. Thirty-three million people worldwide were living with AIDS in 2010, with sub-Saharan Africa bearing the brunt. Since the beginning of the epidemic, over 600,000 people have died of AIDS in the United States, and 1.2 million people are currently living with HIV. About a fifth of them are unaware of their infection and pose a risk of onward transmission. Estimates indicate an infection rate of approximately 56,000 a year in the United States. AIDS in Africa It is thought that a strain of Simian Immunodeficiency Virus (SIV) in a number of chimpanzee colonies in Cameroon was the viral ancestor of HIV-1, which causes AIDS in humans. The assertion that HIV originated in Africa is politically sensitive, with some believing that the western scientists have falsely blamed Africa for a disease that really began in the United States. Whatever its origins, HIV/AIDS became a severe epidemic in East Africa in the 1980s. In Nairobi, Kenya, HIV prevalence among sex workers rose 15-fold between 1981 and 1985. African doctors were facing a disease with signs and symptoms similar to those observed in gay white American men, but 80 percent of cases in Africa were due to heterosexual activity, with a higher prevalence in women. The initial response by African governments to the AIDS crisis was inadequate, and in some cases absent. In South Africa, where the epidemic has become the largest in the world with over 5 million HIV-infected people, white leaders refused to implement an AIDS education program. They did not begin to consider the danger of a large-scale heterosexual HIV/AIDS epidemic until the end of the 1980s. The World Health Organization initially regarded HIV/AIDS in Africa as relatively unimportant compared with malaria, but by 1993\u00f3when an estimated 9 million sub-Saharan African people were HIV-positive\u00f3it was clear that this was a massive crisis. By the late 1990s, triple combination therapy with antiretroviral drugs (ARVs) was clearly making a difference in western countries, but the cost to an African would be an impossible $10,000-15,000 per person annually. South Africa began to lobby intransigent multibillion-dollar pharmaceutical companies to allow the drugs to be produced locally. In December 1999, President Bill Clinton announced to the embattled World Trade Organization conference in Seattle that the United States would seek flexibility in the patent laws that were keeping drug prices high. In the 2000s, the cost of ARVs decreased. However, doubts were expressed that Africans would be able to adhere to multi-dose ARV regimens. In a statement that would be widely criticized, USAID Administrator Andrew Natsios stated in an interview with the Boston Globe that ''Africans don't know what Western time is. \u00d6 Many people in Africa have never seen a clock or a watch their entire lives.\u00ee In 2003, President George W. Bush announced the unprecedented President's Emergency Plan For AIDS Relief (PEPFAR), the goal of which was to help save the lives of those suffering from HIV/AIDS around the world. With PEPFAR and greater availability of ARVs, AIDS-related mortality began to decline in sub-Saharan Africa in 2005. In the past 10 years, the number of new HIV infections has dropped by more than 25 percent in 22 countries in the region, including some with the largest number of cases. AIDS in Black America While the number of new HIV infections has substantially dropped in sub-Saharan Africa, it has changed very little in the United States, especially in African-American communities. Indeed, although black Americans represent just 13 percent of the U.S. population, they account for almost 50 percent of Americans living with HIV/AIDS and 40 percent of total deaths to date. The estimated lifetime risk of becoming HIV-infected is 1 in 16 for black males, 1 in 30 for black females, 1 in 104 for white males, and 1 in 588 for white females. Phill Wilson, founder and executive director of the Black AIDS Institute, points out that if black America were a country, it would rank 16th in the world for HIV infection. In Washington, D.C., where three-quarters of those infected are black and the infection rate doubled for black women between 2008 and 2010, HIV prevalence stands at almost 3 percent\u00f3a higher rate than the Democratic Republic of Congo, Ghana, Guinea, Liberia, and several other sub-Saharan countries. In the PBS program \u00ecEndgame: AIDS in Black America,\u00ee Gregorio Millett, a senior policy adviser to the Office of National AIDS Policy, says, \u00ecWe\u00edve been running in place in many ways\u00d6we have spent 30 years with a completely uncoordinated response for HIV. Even though we were requiring other countries that we were funding to have a national HIV/AIDS strategy, the U.S. never had a national HIV/AIDS strategy ourselves.\u00ee PEPFAR\u00eds goal was to share with the world the best practices established in the United States during the first 20 years of the HIV/AIDS epidemic. However, as PEPFAR approaches the end of its first decade, the program can now do the reverse: apply best practices from abroad to the United States, particularly in poor, black populations. Concrete examples bear this out. Notwithstanding Natsios\u00ed declaration, studies in sub-Saharan Africa have shown ARV adherence rates of greater than 90 percent, while adherence to HIV medications stands at only 60-70 percent in the United States. The African success appears to be due to several factors, among them the use of effective peer-to-peer counseling and systems that are community-based rather than individually focused. The PEPFAR approach, although not perfect, strongly suggests that such approaches would be beneficial in poverty-stricken areas of cities such as Washington, D.C. PEPFAR advocates shifting responsibility for HIV testing and counseling away from overwhelmed healthcare providers to community and lay health workers. In PEPFAR programs, the wide availability of patient counseling through community health networks and strong family-based support are integral to achieving medication adherence.Counseling is provided in the community at several levels of the health network, including nurses, pharmacists, and other providers, and individuals are connected to peer support networks of other people living with HIV/AIDS. In the United States, HIV infection is often seen only through a medical prism, but PEPFAR has shown that social support is a vital part of rendering care to people living with the disease. For example, low-income populations in urban areas must wrestle with issues such as homelessness and drug use, which complicate adherence to treatment. Distant Africa may seem to have little relevance to the United States, but now the \u00ecDark Continent\u00ee is shining a light on a way out of the worst epidemic in history. forget to add any missing words or phrases.The text discusses the history and current state of the AIDS pandemic in both Africa and Black America. In Africa, the virus is believed to have originated in chimpanzees and has since become a major public health crisis, with estimates indicating an infection rate of 56,000 a year in the US. Despite the severity of the epidemic, the initial response by African governments was inadequate, and the crisis was not fully recognized until the late 1980s. The World Health Organization eventually recognized the crisis as a major threat, and in the 2000s, the cost of antiretroviral drugs decreased, allowing for greater access to treatment. However, concerns remain about adherence to multi-dose regimens and the ability of Africans to afford these drugs. In Black America, the situation is even worse, with a disproportionate number of people living with HIV/AIDS and a higher death rate. " + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr238", + "input": { + "question": "When were the first cases of AIDS reported in the U.S. State of California", + "context": "AIDS in Africa and Black America. By Kwei Quartey, October 11, 2012 Thirty years ago, the CDC reported the first cases of HIV/AIDS in New York and Los Angeles. Initially thought to be a disease of gay white men, AIDS is now a global epidemic. Thirty-three million people worldwide were living with AIDS in 2010, with sub-Saharan Africa bearing the brunt. Since the beginning of the epidemic, over 600,000 people have died of AIDS in the United States, and 1.2 million people are currently living with HIV. About a fifth of them are unaware of their infection and pose a risk of onward transmission. Estimates indicate an infection rate of approximately 56,000 a year in the United States. AIDS in Africa It is thought that a strain of Simian Immunodeficiency Virus (SIV) in a number of chimpanzee colonies in Cameroon was the viral ancestor of HIV-1, which causes AIDS in humans. The assertion that HIV originated in Africa is politically sensitive, with some believing that the western scientists have falsely blamed Africa for a disease that really began in the United States. Whatever its origins, HIV/AIDS became a severe epidemic in East Africa in the 1980s. In Nairobi, Kenya, HIV prevalence among sex workers rose 15-fold between 1981 and 1985. African doctors were facing a disease with signs and symptoms similar to those observed in gay white American men, but 80 percent of cases in Africa were due to heterosexual activity, with a higher prevalence in women. The initial response by African governments to the AIDS crisis was inadequate, and in some cases absent. In South Africa, where the epidemic has become the largest in the world with over 5 million HIV-infected people, white leaders refused to implement an AIDS education program. They did not begin to consider the danger of a large-scale heterosexual HIV/AIDS epidemic until the end of the 1980s. The World Health Organization initially regarded HIV/AIDS in Africa as relatively unimportant compared with malaria, but by 1993\u00f3when an estimated 9 million sub-Saharan African people were HIV-positive\u00f3it was clear that this was a massive crisis. By the late 1990s, triple combination therapy with antiretroviral drugs (ARVs) was clearly making a difference in western countries, but the cost to an African would be an impossible $10,000-15,000 per person annually. South Africa began to lobby intransigent multibillion-dollar pharmaceutical companies to allow the drugs to be produced locally. In December 1999, President Bill Clinton announced to the embattled World Trade Organization conference in Seattle that the United States would seek flexibility in the patent laws that were keeping drug prices high. In the 2000s, the cost of ARVs decreased. However, doubts were expressed that Africans would be able to adhere to multi-dose ARV regimens. In a statement that would be widely criticized, USAID Administrator Andrew Natsios stated in an interview with the Boston Globe that ''Africans don't know what Western time is. \u00d6 Many people in Africa have never seen a clock or a watch their entire lives.\u00ee In 2003, President George W. Bush announced the unprecedented President's Emergency Plan For AIDS Relief (PEPFAR), the goal of which was to help save the lives of those suffering from HIV/AIDS around the world. With PEPFAR and greater availability of ARVs, AIDS-related mortality began to decline in sub-Saharan Africa in 2005. In the past 10 years, the number of new HIV infections has dropped by more than 25 percent in 22 countries in the region, including some with the largest number of cases. AIDS in Black America While the number of new HIV infections has substantially dropped in sub-Saharan Africa, it has changed very little in the United States, especially in African-American communities. Indeed, although black Americans represent just 13 percent of the U.S. population, they account for almost 50 percent of Americans living with HIV/AIDS and 40 percent of total deaths to date. The estimated lifetime risk of becoming HIV-infected is 1 in 16 for black males, 1 in 30 for black females, 1 in 104 for white males, and 1 in 588 for white females. Phill Wilson, founder and executive director of the Black AIDS Institute, points out that if black America were a country, it would rank 16th in the world for HIV infection. In Washington, D.C., where three-quarters of those infected are black and the infection rate doubled for black women between 2008 and 2010, HIV prevalence stands at almost 3 percent\u00f3a higher rate than the Democratic Republic of Congo, Ghana, Guinea, Liberia, and several other sub-Saharan countries. In the PBS program \u00ecEndgame: AIDS in Black America,\u00ee Gregorio Millett, a senior policy adviser to the Office of National AIDS Policy, says, \u00ecWe\u00edve been running in place in many ways\u00d6we have spent 30 years with a completely uncoordinated response for HIV. Even though we were requiring other countries that we were funding to have a national HIV/AIDS strategy, the U.S. never had a national HIV/AIDS strategy ourselves.\u00ee PEPFAR\u00eds goal was to share with the world the best practices established in the United States during the first 20 years of the HIV/AIDS epidemic. However, as PEPFAR approaches the end of its first decade, the program can now do the reverse: apply best practices from abroad to the United States, particularly in poor, black populations. Concrete examples bear this out. Notwithstanding Natsios\u00ed declaration, studies in sub-Saharan Africa have shown ARV adherence rates of greater than 90 percent, while adherence to HIV medications stands at only 60-70 percent in the United States. The African success appears to be due to several factors, among them the use of effective peer-to-peer counseling and systems that are community-based rather than individually focused. The PEPFAR approach, although not perfect, strongly suggests that such approaches would be beneficial in poverty-stricken areas of cities such as Washington, D.C. PEPFAR advocates shifting responsibility for HIV testing and counseling away from overwhelmed healthcare providers to community and lay health workers. In PEPFAR programs, the wide availability of patient counseling through community health networks and strong family-based support are integral to achieving medication adherence.Counseling is provided in the community at several levels of the health network, including nurses, pharmacists, and other providers, and individuals are connected to peer support networks of other people living with HIV/AIDS. In the United States, HIV infection is often seen only through a medical prism, but PEPFAR has shown that social support is a vital part of rendering care to people living with the disease. For example, low-income populations in urban areas must wrestle with issues such as homelessness and drug use, which complicate adherence to treatment. Distant Africa may seem to have little relevance to the United States, but now the \u00ecDark Continent\u00ee is shining a light on a way out of the worst epidemic in history. " + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr043", + "input": { + "question": "What does the help in getting dressed represent for an Alzheimer patient?", + "context": "Alanna Shaikh reflects on how she's preparing herself for the potential of developing Alzheimer's disease, drawing from her experience caring for her father, who has been living with the condition. She acknowledges the growing number of people affected by dementia and the fear that surrounds it. While many try to deny or prevent the disease, Alanna chooses a different approach: to prepare for it. She emphasizes the importance of engaging in hands-on activities that are familiar, such as filling out forms or practicing hobbies like drawing, knitting, and origami. These activities, she believes, can provide comfort and joy even as cognitive abilities decline. Alanna also works on building her physical strength through exercises like yoga, tai chi, and weight training to maintain mobility and independence. On a deeper level, she focuses on cultivating kindness and love, inspired by the example set by her father, who, despite losing many abilities, continues to express love and affection. Alanna hopes for a cure in the future, but in the meantime, she's committed to preparing herself emotionally, physically, and mentally for the possibility of Alzheimer\u2019s disease." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr420", + "input": { + "question": "How long did the mother spend in hospital, recovering from an infection?", + "context": "Caring for Aging Parents & Elder Rage: Know The Warning Signs of Alzheimer's!For eleven years I pleaded with my obstinate elderly father to allow acaregiver to help him with my ailing mother, but after 55 years of lovingeach other he adamantly insisted on taking care of her himself. Everycaregiver I hired to help him soon called in exasperation, \"Jacqueline, Ijust can't work with your father-his temper is impossible to handle. I don'tthink he'll accept help until he's on his knees himself.\"My father had always been 90% great, but boy-oh-boy that temper was a doozy.He'd never turned it on me before, but then again I'd never gone against hiswishes either. When my mother nearly died from an infection caused by hisinability to continue to care for her, I flew from southern California toSan Francisco to try to save her life-having no idea that in the process itwould nearly cost me my own. EARLY SIGNS OF DEMENTIA?I spent three months in the hospital nursing my 82-pound mother back torelative health, while my father went from being my loving dad one minute tocalling me horrible nasty names and throwing me out of the house the next. Iwalked on egg shells trying not to upset him, even running the washingmachine could cause a tizzy, and there was no way to reason with him. It wasso heart wrenching to have my once-adoring father turn against me.I immediately took my father to his doctor, only to be flabbergasted hecould act normal when he needed to. I could not believe it when the doctorlooked at me as if I was lying to her. She didn't even take me seriouslywhen I reported that my father had nearly electrocuted my mother, butfortunately I walked into the bathroom just three seconds before he pluggedin a huge orange power strip that was soaking in a white tub of saltwater-along with my mother's feet! Much later, I was furious to find out myfather had instructed his doctor (and everyone he came into contact with)not to listen to a thing I said because I was just a (bleep-bleep) liar-andall I wanted was his money! (I wish he had some.)Then things got serious. My father had never laid a hand on me my wholelife, but one day nearly choked me to death for adding HBO to histelevision, even though he had eagerly consented to it just a few daysbefore. Terrified, I dialed 911 for the first time in my life and when thepolice finally arrived they took him to a psychiatric hospital forevaluation. I could not believe it when they released him right away, sayingthey couldn't find anything wrong with him. What is even more astonishing isthat similar incidents occurred three more times. CAREGIVER CATCH 22After three months I was happy to finally bring my frail mother home fromthe hospital, but furious to find myself trapped. I couldn't fly home andleave my mother alone with my father-she'd surely die from his inability tocare for her. I couldn't get my father to accept a caregiver, and even whenI did-no one would put up with his raging very long. I couldn't gethealthcare professionals to help-my father was always so darling and sane infront of them. I couldn't get medication to calm him, and even when Ifinally did-he refused to take it, threw it in my face and flushed it downthe toilet. I couldn't place my mother in a nursing home-he'd just take herout. I couldn't put him in a home-he didn't qualify. They both refusedAssisted Living-and legally I couldn't force them. I became a prisoner in myparents' home for nearly a year trying to solve crisis after crisis, crying,begging for professional help-and infuriated with an unsympathetic medicalsystem that wasn't helping me appropriately. GERIATRIC DEMENTIA SPECIALIST MAKES DIAGNOSIS You don't need a medical doctorate degree to know something is wrong, butyou do need the right doctor who can diagnose and treat dementia properly.Finally, a friend suggested I call the Alzheimer's Association who directedme to the best neurologist in the area who specialized in dementia. Heperformed a battery of blood, neurological, memory tests and CT & P.E.T.scans. After reviewing my parents' many medications and ruling out numerousreversible dementias such as a B-12 and thyroid deficiency, you should haveseen my face drop when he diagnosed Stage One Alzheimer's in both of myparents-something all their other healthcare professionals missed entirely. TRAPPED IN OLD HABITSWhat I'd been coping with was the beginning of Alzheimer's (just one type ofdementia), which begins very intermittently and appears to come and go. Ididn't understand that my father was addicted and trapped in his own badbehavior of a lifetime and his habit of yelling to get his way was comingout over things that were over-the-top illogical... at times. I also didn'tunderstand that demented does not mean dumb (a concept not widelyappreciated) and that he was still socially adjusted never to show his'Hyde' side to anyone outside the family. Even with the onset of dementia,it was astonishing he could still be so manipulative and crafty. On theother hand, my mother was as sweet and lovely as she'd always been. KEY: BALANCE BRAIN CHEMISTRY!I learned that Alzheimer's makes up 60-80% of all dementias and there's nostopping the progression nor is there yet a cure. However, if identifiedEARLY there are four FDA approved medications that can mask the symptoms,keeping a person in the early independent stage longer, delaying the needfor part to full-time supervision and care. The medications are Aricept,Exelon, Razadyne and Namenda, with many more in clinical trials. Incombination with optimal lifestyle changes (proper nutrition, weight,exercise, socialization), a one month delay in nursing home placement ofAlzheimer's patients could save the U.S. $1 BILLION annually. A five yeardelay in the onset could save $50 BILLION in annual healthcare costs. Publicawareness, education, and more research dollars are needed!After the neurologist masked the symptoms of Alzheimer's in my parents, andalso treated their depression (often present in AD patients), he prescribeda small dose of anti-aggression medication for my father, which helpedsmooth out is his volatile temper without making him sleep all day. (Ohhh,if we'd only had that fifty years ago!) It wasn't easy to get the dosagesright and took a lot of time and patience (no, he wasn't suddenly turnedinto a perfect angel), but at least we didn't need police intervention anylonger! CREATIVE BEHAVIORAL TECHNIQUESOnce my parents' brain chemistries were better balanced, I was able tooptimize nutrition, fluids, medication, treatments, and exercise with muchless resistance. I was also able to implement techniques to cope with theintermittent bizarre behaviors. Instead of logic and reason-I useddistraction and redirection to something they were interested in. I learnedto use reminiscence and talk about the old days, capitalizing on theirlong-term memories which were still quite good. Instead of arguing thefacts-I agreed, validated frustrated feelings, and lived in their realitiesof the moment. Instead of crying, I learned to just 'go with the flow' andlet any nasty comments roll off. And if none of that worked, a bribe of ice cream worked the best to cajolemy father into the shower, even as he swore a blue streak at me that he'djust taken one yesterday (over a week ago). I was also finally able to getmy father to accept two caregivers (he'd only alienated 40 that year-mostonly there for about ten minutes), and then with the tremendous benefit ofAdult Day Health Care five days a week for my parents and a support groupfor me, everything finally started to fall into place.IF ONLY WE HAD LONG TERM CARE INSURANCE!Before long my parents' life savings was gone and we were well into mine. Iwas advised to apply for Medicaid for them and after months of paperwork,aggravation, and evaluation they were approved for financial help from thegovernment. I was so relieved, until I learned that it would only pay to putmy parents in a nursing home, not keep them at home with 24/7 care. And,since my mother needed so much more skilled care than my father, they'd beseparated, something they would never consent to-nor did I want to do afterall this work to keep them together.I could not believe it-I finally had everything figured out medically,behaviorally, socially, legally, emotionally, two wonderful caregivers inplace, the house elder-proofed, and all I needed was some financial help tokeep them at home. If I'd just made sure my parents bought Long Term CareInsurance (or I bought it for them) years ago while they were still healthyand before any diagnosis of dementia, it would have covered the cost oftheir care at home. Instead, I paid for it, which nearly wiped me out inevery way. After five years of managing 24/7 care for my parents, I thensurvived invasive Brst. Cancer. ALZHEIMER'S / DEMENTIA OFTEN OVERLOOKEDWhat is so unsettling is that not one healthcare professional discussed thepossibility of the beginning of Alzheimer's Disease (or any type ofdementia) in my parents with me that first year, which happens far too oftento families. Alzheimer's afflicts more than 5.4 million Americans, butmillions go undiagnosed for 5-10 years because intermittent subtle warningsigns are chalked up to stress and just a 'normal' part of aging. Since oneout of eight by age 65, and nearly half by age 85 get AD, healthcareprofessionals of every specialty should know the 'Ten Warning Signs ofAlzheimer's' and educate their patients and families early on so everyonesaves time, money-and a fortune in Kleenex!TEN WARNING SIGNS OF ALZHEIMER'S(Reprinted with permission of the Alzheimer's Association)1. Memory loss2. Difficulty performing familiar tasks3. Problems with language4. Disorientation of time and place5. Poor or decreased judgment6. Problems with abstract thinking7. Misplacing things8. Changes in mood or behavior9. Changes in personality10. Loss of initiativewww.ElderRage.com/Alzheimers.asp#topThe article describes the author's experience caring for her elderly parents and dealing with their erratic behavior, particularly when her father becomes abusive towards her. The author's father has a history of being temperamental, but his behavior becomes increasingly violent and unpredictable as he ages. The author eventually seeks professional help, including a psychiatric hospital evaluation, and receives a diagnosis of early-stage Alzheimer's disease. The author struggles to find affordable healthcare options for her parents and ultimately learns to cope with their behavior through creative behavioral techniques and the use of medication. Despite facing numerous challenges, the author ultimately finds a solution that allows her parents to live comfortably in their own home with round-the-clock care. The article highlights the importance of early detection and treatment of Alzheimer's disease and the need for greater awareness and resources for caregivers." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr452", + "input": { + "question": "What is the objective of UNAIDS?", + "context": "Annie Lennox Why I am an HIVAIDS activistI'm going to share with you the story as to how I have become an HIV/AIDS campaigner. And this is the name of my campaign, SING Campaign. In November of 2003 I was invited to take part in the launch of Nelson Mandela's 46664 Foundation. That is his HIV/AIDS foundation. And 46664 is the number that Mandela had when he was imprisoned in Robben Island. And that's me with Youssou N'Dour, onstage, having the time of my life. The next day, all the artists were invited to join Mandela in Robben Island, where he was he was going to give a conference to the world's press, standing in front of his former prison cell. You can see the bars of the window there. It was quite a momentous occasion for all of us. In that moment in time, Mandela told the world's press that there was a virtual genocide taking place in his country, that post-apartheid Rainbow Nation, a thousand were dying on a daily basis, and that the front line victims, the most vulnerable of all, were women and children.This was a huge impact on my mind, because I am a woman, and I am a mother, and I hadn't realized that the HIV/AIDS pandemic was directly affecting women in such a way. And so I committed -- when I left South Africa, when I left Capetown, I told myself, \"This is going to be something that I have to talk about. I have to serve.\" And so, subsequently, I participated in every single 46664 event that I could take part in and gave news conferences, interviews, talking and using my platform as a musician, with my commitment to Mandela, out of respect for the tremendous, unbelievable work that he had done. Everyone one in the world respects Nelson Mandela. Everyone reveres Nelson Mandela. But do they all know about what has been taking place in South Africa, his country, the country that had one of the highest incidents of transmission of the virus? I think that if I went out into the street now, and I told people what was happening there, they would be shocked.I was very very fortunate, a couple of years later, to have met Zackie Achmat, the founder of Treatment Action Campaign, an incredible campaigner and activist. I met him at a 46664 event. He was wearing a t-shirt like the one I wear now. This is a tool. This tells you I am in solidarity with people who have HIV, people who are living with HIV. And in a way, because of the stigma, by wearing this t-shirt, I say, \"Yes, we can talk about this issue. It doesn't have to be in the closet.\" I became a member of Treatment Action Campaign, and I'm very proud to be a member of that incredible organization. It's a grassroots campaign with 80 percent membership being women, most of whom are HIV-positive. They work in the field. They have tremendous outreach to the people who are living directly with the effects of the virus. They have education programs. They bring out the issues of stigma. It's quite extraordinary what they do. And yes, my SING Campaign has supported Treatment Action Campaign in the way that I have tried to raise awareness and to try to also raise funds. A lot of the funding that I have managed to raise has gone directly to Treatment Action Campaign and the incredible work that they do, and are still continuing to do, in South Africa.So this is my SING Campaign. SING Campaign is basically just me and about three or four wonderful people who help to support me. I've traveled all over the world in the last two and a half years. I went to about 12 different countries. Here I am in Oslo in Norway, getting a nice, fat check, singing in Hong Kong, trying to get people to raise money. In Johannesburg, I had the opportunity to play to a mainly white, middle-class South African audience who ended up in tears, because I use film clips that really touch the heart, the whole nature, of this terrible tragedy that is taking place, that people are tending to avoid, because they are fatigued, and they really don't quite know what the solutions are. Aaron Motsoaledi, the current health minister, attended that concert, and I had an opportunity to meet with him, and he gave his absolute commitment to try to making a change, which is absolutely necessary. This is in the Scottish Parliament. I've subsequently become an envoy for Scotland and HIV. And I was showing them my experiences and trying to, again, raise awareness. And once again, in Edinburgh, with the wonderful African Children's Choir who I simply adore. And it's children like this, many of whom have been orphaned because of their family being affected by the AIDS virus.I'm sitting here in New York with Michel Sidibe. He's the director of UNAIDS. And I'm very honored by the fact that Michel invited me, only a few months ago, to become a UNAIDS ambassador. And in this way, I've been strengthening my platform and broadening my outreach. The message that UNAIDS are currently sending out to the world is that we would like to see the virtual elimination of the transmission of the virus from mother to child by 2015. It's a very ambitious goal, but we believe it can be achieved with political will. This can happen.And here I am with a pregnant woman who is HIV positive, and we're smiling, both of us are smiling, because we're very confident, because we know that that young woman is receiving treatment so her life can be extended to take care of the baby she's about to give birth to. And her baby will receive PMTCT, which will mean that that baby can be born free of the virus. Now that is prevention at the very beginning of life. It's one way to start looking at intervention with the AIDS pandemic.Now, I just would like to finish off to tell you the little story about Avelile. This is Avelile. She goes with me wherever I go. I tell her story to everyone, because she represents one of millions of HIV/AIDS orphans. Avelile's mother had HIV virus. She died from AIDS-related illness. Avelile had the virus. She was born with the virus. And here she is at seven years old, weighing no more than a one year-old baby. At this point in her life, she's suffering with full-blown AIDS and had pneumonia. We met her in a hospital in the Eastern Cape and spent a whole afternoon with her -- an adorable child. The doctors and nurses were phenomenal. They put her on very special nutritious diet and took great care of her. And we didn't know when we left the hospital -- because we filmed her story -- we didn't know if she was going to survive. So, it was obviously ... it was a very emotional encounter and left us feeling very resonant with this direct experience, this one child, you know, that story. Five months later, we went back to South Africa to meet Avelile again. And I'm getting -- the hairs on my -- I don't know if you can see the hairs on my arms. They're standing up, because I know what I'm going to show you. This is the transformation that took place. Isn't it extraordinary?(Applause)That round of applause is actually for the doctors and nurses of the hospital who took care of Avelile. And I take it that you appreciate that kind of transformation. So, I would like to say to you, each one in the audience, if you feel that every mother and every child in the world has the right to have access to good nutrition and good medical care, and you believe that the Millennium Development Goals, specifically five and six, should be absolutely committed to by all governments around the world -- especially in sub-Saharan Africa -- could you please stand up. I think that's fair to say, it's almost everyone in the hall.Thank you very much.(Applause) forget to replace any repetitive words or phrases.Annie Lennox shares the story behind her activism for HIV/AIDS, known as the SING Campaign. She was invited to participate in Nelson Mandela's 46664 Foundation's launch, where she met fellow artist Youssou N'Dour and performed to a packed crowd. Mandela's speech moved her deeply, particularly when he revealed that thousands of South Africans were dying of the virus every day, primarily women and children.Lennox became an advocate for Mandela and the HIV/AIDS pandemic after returning to South Africa, where she saw firsthand the devastating impact of the virus on women and children. She joined the Treatment Action Campaign (TAC), a grassroots organization led by Zackie Achmat, and became a member of the TAC's executive committee. Through her work with the SING Campaign, Lennox has raised awareness about the HIV/AIDS pandemic and worked to fundraise for organizations like TAC.Len" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr030", + "input": { + "question": "Name a similarity between AD and TB.", + "context": "James Fuller delves into his research on developing antibodies for Alzheimer's disease in the final highly commended article for the Max Perutz Science Writing Award 2012. Imagine the fear and helplessness of knowing that over the next decade, your brain will be slowly ravaged by your own body. As neurons die off, what will you lose next? Your memories? Your ability to carry out daily tasks? Or perhaps part of your identity? Your loved ones will watch as the person they care for is gradually diminished. Unfortunately, despite advances in medical science, there is still no treatment that can slow the progression of Alzheimer's. The disease, which is the leading cause of dementia, affects an estimated 20 million people worldwide, costing healthcare systems around $400 billion. With an aging global population, the number of people with dementia is expected to double in the next 30 years, making the need for new treatments urgent. Current therapies only manage symptoms, allowing neurons to function but not preventing their eventual death.The challenge lies in our incomplete understanding of Alzheimer's mechanisms and how to model the disease in the lab. This gap in knowledge may explain why so many potential treatments have failed in clinical trials. However, research has revealed that the accumulation of amyloid-beta (A\u00df) protein in the brain forms clumps, or plaques, which are believed to destroy neurons. Based on this, therapies are being developed to break down these plaques or reduce A\u00df production. One groundbreaking approach is to vaccina patients against these plaques, similar to how vaccines teach the immune system to recognize and fight off pathogens. Scientists have engineered antibodies that can bind to the amyloid plaques in Alzheimer's patients' brains, prompting the immune system to remove these toxic deposits.While this approach has shown promise, it comes with complications. The immune response triggered to clear the plaques can cause inflammation in the brain, which, although beneficial in fighting infections like tuberculosis, can lead to serious side effects in Alzheimer's patients. Inflammation around blood vessels in the brain can cause damage, bleeding, and further cognitive decline. Fuller\u2019s PhD research focuses on designing antibodies that can eliminate amyloid plaques without triggering harmful inflammation. By fine-tuning the structure of these antibodies, he hopes to control the immune system\u2019s response and avoid further brain damage.Dementia, particularly Alzheimer\u2019s disease, is one of the greatest challenges facing modern medicine, and without new therapies, the situation will only worsen. Harnessing the immune system through antibody-based treatments could offer a solution. This strategy has already proven effective in treating bacterial infections, cancer, and rheumatoid arthritis, and if adapted safely for Alzheimer\u2019s, it could significantly improve the lives of millions of patients worldwide." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr151", + "input": { + "question": "What places are suggested for burying carbon captured from fossil fuel burning?", + "context": "Global Warming: It's All About Energy Finally, after years of effort by dedicated scientists and activists like Al Gore, the issue of global warming has begun to receive the international attention it desperately needs. The publication on February 2 of the most recent report by the Intergovernmental Panel on Climate Change (IPCC), providing the most persuasive evidence to date of human responsibility for rising world temperatures, generated banner headlines around the world. But while there is a growing consensus on humanity\u2019s responsibility for global warming, policymakers have yet to come to terms with its principal cause: our unrelenting consumption of fossil fuels. When talk of global warming is introduced into the public discourse, as in Gore\u2019s \u201cAn Inconvenient Truth,\u201d it is generally characterized as an environmental problem, akin to water pollution, air pollution, pesticide abuse, and so on. This implies that it can be addressed \u2013 like those other problems \u2013 through a concerted effort to \u201cclean up\u201d our resource-utilization behavior, by substituting \u201cgreen\u201d products for ordinary ones, by restricting the release of toxic substances, and so on. But global warming is not an \u201cenvironmental\u201d problem in the same sense as these others \u2013 it is an energy problem, first and foremost. Almost 90% of the world\u2019s energy is supplied through the combustion of fossil fuels, and every time we burn these fuels to make energy we release carbon dioxide into the atmosphere; carbon dioxide, in turn, is the principal component of the \u201cgreenhouse gases\u201d (GHGs) that are responsible for warming the planet. Energy use and climate change are two sides of the same coin. Fossil Fuel Dependency Consider the situation in the United States. According to the Department of Energy (DoE), carbon dioxide emissions constitute 84% of this nation\u2019s greenhouse gas emissions. Of all U.S. carbon dioxide emissions, most \u2013 98% \u2013 are emitted as a result of the combustion of fossil fuels, which currently provide approximately 86% of America\u2019s total energy supply. This means that energy use and carbon dioxide emissions are highly correlated: the more energy we consume, the more CO2 we release into the atmosphere, and the more we contribute to the buildup of GHGs. Because Americans show no inclination to reduce their consumption of fossil fuels \u2013 but rather are using more and more of them all the time \u2013 one can foresee no future reduction in U.S. emissions of GHGs. According to the DoE, the United States is projected to consume 35% more oil, coal, and gas combined in 2030 than in 2004; not surprisingly, the nation\u2019s emissions of carbon dioxide are expected to rise by approximately the same percentage over this period. If these projections prove accurate, total U.S. carbon dioxide emissions in 2030 will reach a staggering 8.1 billion metric tons, of which 42% will be generated through the consumption of oil (most of it in automobiles, vans, trucks, and buses), 40% by the burning of coal (principally to produce electricity), and the remainder by the combustion of natural gas (mainly for home heating and electricity generation). No other activity in the United States will come even close in terms of generating GHG emissions. What is true of the United States is also true of other industrialized and industrializing nations, including China and India. Although a few may rely on nuclear power or energy renewables to a greater extent than the United States, all continue to consume fossil fuels and to emit large quantities of carbon dioxide, and so all are contributing to the acceleration of global climate change. According to the DoE, global emissions of carbon dioxide are projected to increase by a frightening 75% between 2003 and 2030, from 25.0 to 43.7 billion metric tons. People may talk about slowing the rate of climate change, but if these figures prove accurate, the climate will be much hotter in coming decades and this will produce the most damaging effects predicted by the IPCC. What this tells us is that the global warming problem cannot be separated from the energy problem. If the human community continues to consume more fossil fuels to generate more energy, it inevitably will increase the emission of carbon dioxide and so hasten the buildup of greenhouse gases in the atmosphere, thus causing irreversible climate change. Whatever we do on the margins to ameliorate this process \u2013 such as planting trees to absorb some of the carbon emissions or slowing the rate of deforestation \u2013 will have only negligible effect so long as the central problem of fossil-fuel consumption is left unchecked. State of Denial Many political and business leaders wish to deny this fundamental reality. They may claim to accept the conclusions of the IPCC report. They will admit that vigorous action is needed to stem the buildup of greenhouse gases. But they will nevertheless seek to shield energy policy from fundamental change. Typical of this approach is a talk given by Rex W. Tillerson, the CEO of Exxon Mobil, at a conference organized by Cambridge Energy Research Associates on February 13. As head of the world\u2019s largest publicly traded energy firm, Tillerson receives special attention when he talks. That his predecessor Lee Raymond often disparaged the science of global warming lent his comments particular significance. Yes, Tillerson admitted, atmospheric carbon dioxide levels were increasing, and this contributed to the planet\u2019s gradual warming. But then, in language characteristic of the industry, he added, \u201cThe scale advantages of oil and natural gas across a broad array applications provide economic value unmatched by any alternative.\u201d It would therefore be a terrible mistake, he added, to rush into the development of energy alternatives when the consequences of global warming are still not fully understood. The logic of this mode of thinking is inescapable. The continued production of fossil fuels to sustain our existing economic system is too important to allow the health of the planet to stand in its way. Buy into this mode of thought, and you can say goodbye to any hope of slowing \u2013 let alone reversing \u2013 the buildup of greenhouse gases in the atmosphere. What to Do If, however, we seek to protect the climate while there is still time to do so, we must embrace a fundamental transformation in our energy behavior: nothing else will make a significant difference. In practice, this devolves into two fundamental postulates. We must substantially reduce our consumption of fossil fuels, and we must find ways to capture and bury the carbon by-products of the fossil fuels we do consume. Various strategies have been proposed to achieve these objectives. Those that offer significant promise should be utilized to the maximum extent possible. This is not the place to evaluate these strategies in detail, except to make a few broad comments. First, as noted, since 42% of American carbon dioxide emissions (the largest share) are produced through the combustion of petroleum, anything that reduces oil consumption \u2013 higher fuel-efficiency standards for motor vehicles, bigger incentives for hybrids, greater use of ethanol, improved public transportation, car-pooling, and so \u2013 should be made a major priority. Second, because the combustion of coal in electrical power plants is our next biggest source of CO2, improving the efficiency of these plants and filtering out the harmful emissions has to be another top priority. Finally, we should accelerate research into promising new techniques for the capture and \u201csequestration\u201d of carbon during the combustion of fossil fuels in electricity generation. Some of these plans call for burying excess carbon in hollowed-out coalmines and oil wells \u2013 a very practical use for these abandoned relics, but only if it can be demonstrated that none of the carbon will leak back into the atmosphere, adding to the buildup of GHGs. Global warming is an energy problem, and we cannot have both an increase in conventional fossil fuel use and a habitable planet. It\u2019s one or the other. We must devise a future energy path that will meet our basic (not profligate) energy needs and also rescue the climate while there\u2019s still time. The technology to do so is potentially available to us, but only if we make the decision to develop it swiftly and on a very large scale. forget to add a question mark at the end of your sentence." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr406", + "input": { + "question": "Why is the short-term memory affected more severely in the early stages of the disease than the long-term memory?", + "context": "Alzheimer's DiseaseIntroductionAlzheimer's disease (AD) is a neurodegenerative disease or a disease that causes progressive damage to brain cells leading to slow but relentless mental decline. The most common early symptoms with AD are difficulty learning and remembering new information, problems navigating familiar routes, difficulty with finding words, and deficits in multi-tasking (doing several things at once). As AD progresses, memory and spatial problems worsen and new cognitive problems arise, including deficits in understanding and expressing ideas, loss of the ability to calculate, read and write, and severe difficulties with problem-solving. Usually patients maintain their social graces but as the illness progresses behavioral symptoms including apathy, agitation, anxiety, and delusions (false beliefs) emerge. Eventually, the cognitive and behavioral problems associated with AD cause \"dementia,\" defined as cognitive impairment severe enough to interfere with daily life activities such as work, social interactions, hobbies, or self-care. There are many diseases that cause dementia, although AD is the most common cause of dementia in older adults. Causes/Risk FactorsWhat are the factors that cause people to develop those neurobiological changes? Without a doubt, the most important risk is aging. Incidence, or new cases of AD, approximately double every five years after the age of 65 years. In the very old, (above 90), the number of people who manifest AD-like changes is extremely high, leading some to believe that if we all lived long enough we would all get AD. How aging leads to these changes remains unknown. For some, genetic factors contribute to, or even cause development of the disease. This risk is greatest for those with a strong family history of AD, and for individuals whose family members were diagnosed with AD before age 65. Familial AD, which is inherited in an autosomal dominant pattern, is caused by mutations in the amyloid precursor protein (APP) gene on chromosome 21, the presenilin 1 gene on chromosome 14, or the presenilin 2 gene on chromosome 1. These mutations all lead to excessive production of a protein called beta amyloid (A\u03b2). With this genetic form of AD, if the gene is carried there is near 100% likelihood that the person will develop AD if they live beyond 60 years. Less than 5% of AD cases are transmitted in this fashion. A more common genetic risk is associated with the apolipoprotein gene on chromosome 19. This gene has three common variants or alleles, called APOE-e2, APOE-e3, and APOE-e4. Individuals with 1 or 2 copies of the APOE-e4 allele have a substantially increased risk for AD, whereas individuals with 1 or 2 copies of the APOE-e2 allele have decreased risk. Unlike the familial genes that cause AD, having APOE-e4 does not guarantee that you will get AD, but increases your risk substantially. In addition, having Down's syndrome, or a family history of other dementias or Parkinson's disease, also appears to increase risk.The remaining risks for developing AD appears to come from environmental factors, although the precise mechanisms by which these risk factors contribute to AD is not entirely known. Head injury is one of the most preventable environmental risk factors. Typically, head injuries are only considered risks when there is a loss of consciousness, which indicates brain trauma. Other potentially modifiable environmental risk factors include high blood pressure, high cholesterol, and diabetes, which can be reduced through diet and exercise. Diets rich in antioxidants, Vitamin E, and omega-3 fatty acids may reduce risk for AD, while diets high in fat and calories increase risk. In addition, exercise may reduce risk for AD by improving cerebrovascular health and promoting the growth of new neurons in brain regions responsible for memory. Education is commonly considered to be a preventive factor, but the relationship between education level and AD is complex. Individuals with very high levels of education are typically diagnosed with AD less frequently and at older ages than similar individuals with less education. However, autopsy examinations show greater brain shrinkage in individuals with high education levels, which is an indication of greater progression of AD. Many researchers now believe that education and the associated intellectual strengths that come with it cannot prevent AD, but delay the diagnosis through what is referred to as \"cognitive reserve,\" or a cognitive cushion that buffers one against showing symptoms of AD.Depression, and particularly depression that occurs first in older adulthood, has been suggested to be a risk factor. Whether or not late-life depression is a risk, or rather just an an early sign of AD is still unknown. Having depression at younger ages does not appear to be a risk factor for AD.Female gender is associated with a slightly increased risk of developing AD. It is unclear, however, whether that risk stems primarily from the tendency of women to live longer than men, which puts them at increased risk simply by virtue of their older age.ProgressionAlzheimer's disease is known for its insidious onset and slow progression. It is preceded by a stage where cognitive functioning is diminished relative to peers of a similar age and education level, but which is not sufficiently severe to merit a diagnosis of AD. This stage is sometimes called mild cognitive impairment (MCI) or mild AD; however, not everyone diagnosed with MCI will go on to develop AD. Although there are no true distinctions between different stages of the disease, these stages may be helpful in describing the disease progression. It typically takes years for a person with AD to progress from 1 stage to another, and because there are no clear demarcations between stages, there is often overlap.The medial temporal and parietal areas of the brain are typically the first areas to appear shrunken as neurons die. Shrinkage is particularly early and prominent in the hippocampi, structures that are needed for making new memories, and in the posterior parietal lobes, which are involved in spatial skills, navigation, and calculation. Later, nearly the entire brain appears shrunken, and the spaces within the brain, called ventricles, grow larger. Memory and spatial problems are usually the first symptoms seen and are disproportionate to problems with attention, organizing, and multi-tasking. About half of people with AD have one or more psychiatric symptoms such as depression, apathy, or insomnia in the early to moderate stages. Agitation and insomnia become more common in the moderate stages of the disease, while behavioral disturbances are most likely to emerge in the moderate to severe stages. Of note, although people with AD have pronounced cognitive problems, they typically retain social skills until they are in the moderate to severe stages. These characteristics can help differentiate between AD and other types of dementia.Impairments in activities of daily living, or basic living skills such as bathing and dressing one's self, frequently do not occur until the moderate to severe stages of the disease. Difficulties with bathing and dressing may be the first observed difficulties that occur in the moderate stage, while difficulties eating and toileting occurring more frequently in the severe stage. In addition, memory and judgment problems can impair safe self-care in the moderate to severe stages of the disease. Because AD tends to spare the motor systems until the latest stages of the disease, people with AD typically do not need wheelchairs or other movement aids as a result of the disease, although, of course, other medical problems common to aging may necessitate such devices.In the last stage of the disease, which is sometimes called the terminal stage, people are frequently cared for in institutions due to increased care demands. At this stage, people may have difficulty swallowing whole foods and thin liquids, and consequently may need to drink thickened liquids for nutrition. Tube feeding is sometimes implemented in institutions if a patient has difficulty swallowing even thickened liquids or refuses nutrition. However, tube feeding tends to be very uncomfortable and may not improve survival or reduce the risk of aspiration pneumonia 11, and so its use should be carefully considered. Reduced mobility, often leading patients to be bed-bound, increases risk for infections and bedsores. Because people with terminal stage AD have very reduced ability to make decisions and communicate, family members should be actively involved in making treatment decisions and ensuring care that is consistent with the patient's desires and values.DiagnosisA thorough evaluation, which is the best way to distinguish between AD and other neurodegenerative disorders or normal aging, can be complex and ideally requires a multi-disciplinary team of physicians, nurses, neuropsychologists, and social workers. Such an evaluation often includes: 1. a careful history, including: 1. family history of neurological disease 2. current symptoms 3. the onset and course of symptoms 4. risk factors for AD and other neurological disorders 5. medical history 6. current medications 7. drug and alcohol use 8. sleep habits 9. education level and work history 2. a neurological exam, which examines: 1. cranial nerves 2. gait 3. balance and stability 4. motor function and motor sequences 5. sensory perception and discrimination 6. reflexes 3. cognitive or neuropsychological exam, which tests: 1. verbal and nonverbal learning and memory 2. visuospatial perception and copying/drawing ability 3. speech and language skills 4. attention 5. processing speed 6. executive functioning (higher-order cognitive tasks such as mentally manipulating information, mental flexibility, response inhibition, planning, problem solving, abstraction, and judgment) 7. motor speed 8. mood 4. blood work, which looks for signs of: 1. infection 2. kidney dysfunction 3. liver dysfunction 4. B12 or folic acid deficiency 5. thyroid dysfunction 6. autoimmune disorders 5. neuroimaging, using 1 or more of the following techniques: 1. CT or MRI --- examines brain structure for places of atrophy characteristic of AD 2. PET or SPECT --- examine brain function for places of hypometabolism or hypoperfusion characteristic of AD. This test is only recommended for patients in whom diagnosis is difficult. After an evaluation, a person who is thought to have AD may be given a diagnosis of \"probable AD,\" \"possible AD,\" or \"amnestic MCI.\" MCI is an early stage where cognitive dysfunction is documented, but is not sufficiently severe to interfere with daily life. People with amnestic MCI show deficits primarily ---or only--- in the area of memory, and are at high risk of progressing to AD. Probable AD is diagnosed when a person has been established to have dementia by a clinical examination and neuropsychological testing, the dementia onset was between ages 40 and 90, the person shows deficits in 2 or more cognitive domains, has progressive memory loss and other cognitive deterioration, is not delirious, and does not have other disorders that could be responsible for causing the symptoms. Possible AD is diagnosed when a person shows a slow progressive deterioration in only one cognitive area or has been diagnosed with another disorder that could produce dementia. A definitive diagnosis of AD cannot be made until the brain has been directly examined for the characteristic pathological signs of AD, which typically occurs only at autopsy. However, due to the amount of research that has been conducted on AD, when pre-autopsy diagnoses are made after a thorough evaluation, diagnoses have a high degree of accuracy.There are many causes for dementia that are not due to AD, including other degenerative conditions such as frontotemporal dementia, vascular dementia, Parkinsonian-dementia and medical conditions such as B12 deficiency. Accurate diagnosis is the key to effective therapy. TreatmentOnce a diagnosis of AD has been made, treatment of the disease should be considered. Treatment has many components and should focus around the following:o Symptomatic therapy with medicationso Treatment of difficult behaviors with medicationso Treatment of difficult behaviors with changes in the environmento Organizing finances, legal issues, advanced directiveso Making sure that the caregiver maintains his or her health Symptomatic therapy with medications: Currently there are two types of medications approved for the treatment of AD, cholinesterase inhibitors and NMDA antagonists. Cholinesterase inhibitors work by increasing the brain's level of acetylcholine, and they are the mainstay of AD treatment. The three cholinesterase inhibitors used in medical practice are Donepezil (Aricept), Rivastigmine (Exelon), and Galantamine (Razadyne). When these medications work they typically lead to mild improvements in attention, thinking, and memory. Generally, patients on these medications do better than patients not taking them. Donepezil, Rivastigmine and Galantamine are all approved for treatment of mild to moderate AD, while Donepezil is also approved for treatment of severe disease. The side effects of these medications are low, with gastrointestinal upset and sleep disturbance the major concerns. When AD is diagnosed the patient should be started on one of the cholinesterase inhibitors. Memantine (Namenda) is approved for the treatment of moderate to severe AD and it works by blocking areas in the brain that are overexcited by a neurotransmitter called glutamate. Memantine can be added to a cholinesterase inhibitor, or used alone, and has few side effects. None of these medications leads to miraculous improvements, but even subtle changes in patients can be a big positive for caregivers. New medications designed to slow the aggregation of A\u03b2 are under active study and may have more impressive effects than the current generation of compounds. Treatment of Difficult Behaviors with Medications or Environmental Changes: Treating agitated or unwanted behaviors is extremely difficult and should always begin by thinking about why the behavior has emerged. AD patients may not be able to explain how they feel. Pain associated with a urinary infection, tooth decay, or back problems can manifest as agitation or confusion. Similarly, depressed mood can trigger difficult behaviors. Therefore, a careful medical evaluation is important if behavior has changed. Additionally, review of possible environment triggers is needed. Sleep in the daytime will often mean that the patient stays awake at night. Lack of exercise will increase the likelihood that the patient will become irritable or agitated. Overstimulation and big changes in the environment often precipitate difficult behaviors. Medications for these behaviors have limited value and often make things worse rather than better. Sometimes antidepressant compounds will smooth out difficult periods. Antipsychotic and anxiolytic medications have significant toxicities and are typically most effective when they are used in low doses for limited periods of time. Organizing finances, legal issues, advanced directives: Thinking ahead is a key to effective caregiving. AD is a continually changing illness and what works at one stage may not work later on. Eventually patients lose their ability to make good decisions and the family will need to consider wills, financial decision-making, and advanced directives for health care at the earliest possible stage. Included in this planning is the designation of a health care proxy --- a person who is chosen to make medical decisions once the patient is unable to participate in these him or herself.Making sure that the caregiver maintains his or her health: Caregiving is one of the most difficult tasks that we will ever face. Maintaining good health and good spirits is essential. Exercise programs, time alone, daycare, sitters, respite programs, and support groups can make caregiving less difficult and should be considered at all stages of the illness. The Alzheimer's Association can aid families in accessing health support. Practical tips for living with ADPeople may feel overwhelmed after being diagnosed with AD. Some find it helpful to read about the disease, so that they understand their diagnosis and know better what to expect as the disease progresses. Understanding the disease and prognosis can help you plan for your future and make important decisions, such as creating an advance health care directive, and making decisions about how and where you want to live. It is also helpful to have a trusted friend or family member with you at your medical appointments. This person can help you in a number of ways. He or she can ask your doctor important questions, help you remember the information your doctor provides you, help plan future appointments or make other relevant plans, provide emotional support, and help you get to and from your appointments.In addition, AD affects more people than those diagnosed with it --- it affects family members and other loved ones. Behavioral problems are typically more difficult for caregivers and other loved ones than are memory problems. Here are several behavioral issues that frequently arise with AD, and ways that may help deal with them. * Suspicion or paranoia: People with AD sometimes become suspicious of others. If you are the subject of that suspicion, it can be hurtful and confusing. It is helpful to understand that people with AD frequently become suspicious because they cannot keep track of things as well as they used to; when they move something, they often cannot remember that they have done so. It therefore seems to them that their environment, and the valuable things in it, changes inexplicably, and so they make sense of these changes by thinking that other people must be stealing from them. This thought typically has nothing to do with how trustworthy a loved one has been, and it is usually the person or people closest to the AD patient who is blamed. Rather than defending yourself, or getting emotional if this happens, you can help the person look for whatever has been misplaced. Or, if possible, you can replace it. * Forgotten bills: People with AD can have a difficult time paying bills, keeping track of their finances, and otherwise managing their money. They can also be at risk for elder financial abuse. Caregivers often find their lives improve dramatically when they take over handling the finances, and no longer have to worry about whether or not the bills are being paid. Being involved with finances also can help prevent elder financial abuse, or enable any scams or fraud to be quickly recognized and remedied. * Personality changes: Although personality change is typically not as striking in AD as it is in some other types of dementias, it is not uncommon. People with AD can become agitated, confused, depressed, anxious, stubborn, or needy. Some personality or emotional changes, such as depression, can be treated pharmacologically. Sometimes, it is helpful to recognize that personality changes can be the result of poorer cognitive skills --- that when people cannot communicate their thoughts and feelings well verbally, they communicate through actions. Identifying \"triggers,\" or the preceding events or circumstances, of unwanted behavior can help you understand what may be distressing to the person. Once you understand this, you can modify the environment appropriately. In addition, blame the disease for the distressing behavior or personality changes, rather than blaming the person. * Fluctuating symptoms: One of the most confusing things to many caregivers is that a loved one with AD can sometimes seem to remember things, or be able to perform certain tasks, and other times cannot. This is normal, and it is part of the disease process. Although it may seem that a person is \"faking\" when their symptoms are worse, or that they should be able to do something all the time if they can do it some of the time, neither of these ideas are true. People with AD truly do have fluctuating abilities. Blaming the disease for these frustrating and confusing moments, rather than blaming the person with AD for not always being able to do things, is very helpful. It is also helpful to simply recognize that symptoms, including cognitive abilities, fluctuate over the course of the day and change over time. * Wandering: Individuals with AD often leave their home to take a walk or with the intention of going somewhere, but become disoriented or lost. It's not unusual for caregivers to become panicked when they realize that the person with AD is gone. To prevent wandering, you can affix a bell to the door, so that you are alerted when the person with AD is trying to leave, or post a sign on the door that says, \"Do not open\". There are also steps you can take to help find the person who has wandered. First, you can have the person wear an ID bracelet with the person's name and your phone number. Second, you can enroll the person in the Alzheimer's Association's Safe Return program, which provides an ID bracelet or pendant, a \"community support network to help reunite the lost person with his or her caregiver,\" and 24-hour wandering or medical emergency response services. Third, you can call the police. Try not to be angry or overly emotional when you find your loved one after he or she has wandered --- this will only be upsetting, and not helpful. In addition to these steps, it may be helpful to take walks with the person during the daytime, to enable him or her to get exercise while giving yourself the security of knowing where he or she is.In addition to these suggestions, there are a number of organizations that can provide help. These organizations can provide answers to your questions, support groups to help cope with emotional distress and practical difficulties, and resources to help you learn more about AD and cope with the diagnosis. ConclusionIt is clear that Alzheimer's disease is a complex condition that involves multiple biological, genetic, and environmental factors. While there't not a cure yet, there are many treatments available to help manage symptoms and\u5ef6\u7f13\u75c5\u60c5\u6076\u5316. By understanding the causes and risk factors of the disease, as well as the various stages of the illness, individuals can take proactive steps to protect themselves and their loved ones from Alzheimer's disease." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr232", + "input": { + "question": "Why is the \"Dark Continent\" able to suggest a way out of the epidemic?", + "context": "AIDS is a major global health issue, with the most severe impact felt in sub-Saharan Africa and among African Americans. By the end of 2010, over 600,000 people had died from AIDS in the United States, and more than 1.2 million were living with HIV. Many of these individuals are unaware of their condition, contributing to ongoing transmission risks. The origins of HIV remain contentious, with some attributing it to Africa while others suggest it started in the U.S. Regardless, the epidemic has caused significant suffering worldwide. In Africa, the crisis began in the 1980s, with HIV spreading rapidly through heterosexual transmission, particularly among women. Early responses from African governments were insufficient, and it wasn\u2019t until the 1990s that the scale of the epidemic was fully recognized. Efforts to reduce the cost of antiretroviral drugs and improve access in Africa, such as local production of ARVs and the U.S. push to relax patent laws, marked turning points in the fight against HIV. By the early 2000s, programs like PEPFAR helped reduce AIDS-related deaths, particularly after the introduction of affordable ARVs.In the U.S., however, particularly within African American communities, the epidemic remains entrenched. African Americans represent only 13% of the U.S. population but account for nearly half of the HIV/AIDS cases. In Washington, D.C., HIV prevalence among black residents exceeds rates in many sub-Saharan African countries. Despite efforts like PEPFAR, which shared strategies from African countries, the U.S. response has been criticized as fragmented and ineffective, especially among poor, black populations.In Africa, high adherence rates to ARV treatment, often through community-based support systems, contrast with the lower adherence seen in the U.S., where social issues like homelessness and drug use complicate care. PEPFAR's focus on community-level counseling and peer support in Africa suggests similar approaches could benefit African American communities in the U.S. The African experience highlights the importance of social support in combating HIV, offering valuable lessons for improving HIV care in America." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr428", + "input": { + "question": "According to an Asian saying, what should you do to get over your fears?", + "context": "It's Only Alzheimer's, Not the Bloody Plague!A friend recently said to me, \u201cWhen my friends learned I had Alzheimer\u2019s, many looked at me as if I had some kind of contagious disease. Then, they just stopped calling or coming around. Don they know it isn the bloody plague?\u201dWhat It's NotI\u2019ve spent eight years with people who were in various stages of Alzheimer\u2019s and other forms of dementia. Although my hospice patients in San Francisco were all in the later stages, I heard painful stories from their families of how people reacted to them when they still could function with some help.From others who are in the earlier stages, I heard identical stories involving relatives, long-time friends, and close colleagues who drifted away or interacted with them as if they :-Stepped back into their childhood-Possessed the mind of a developmentally delayed child.-Or became psychoticNone of these are true, yet as a society, we treat those with dementia as if at least one of these misconceptions was the gospel.The Harm We CauseWhen we act out of ignorance, we may unintentionally cause immense harm to those who are struggling with the disease. One person with dementia, who held a Ph.D. in chemistry, no longer would order a meal from a fast-food chain because, according to him, \"The server made me feel like a moron\u201d when he couldn quickly decide what to order from a board menu containing more than 50 items, with a multitude of combinations.Changing IdentitiesAs memories are lost and the ability to manage those that remain becomes a struggle, the identities of people with dementia change. We all view ourselves\u2014our identity\u2014by the roles we play, the activities we enjoy, the affiliations we have, the values that structure our lives, our abilities, and relationships. Imagine how your life would be transformed if significant parts of your identify disappeared--sometimes quickly, at other times slowly, and maybe the worse, stealthily.And It\u2019s not only self-perceptions that create identities, but also how others perceive us. Imagine what it must have been like for that chemist who spent 8 years in graduate school and was involved in the development of life-saving drugs to be afraid of ordering a hamburger from someone who possibly never graduated high school.Pulling the Sharp Points CloseLife is full of choices. We can run away from those with the disease, either out of ignorance or fear of what we might eventually become, or we can choose to put ourselves in the place of someone with dementia. Tibetans have a saying that if you want to get over the fears in your life--the sharp points--bring them closer, rather than running away.But, eventually, you won't be able to run away from Alzheimer\u2019s or other forms of dementia. Statistics say that many of you reading this article will develop dementia. If you\u2019re 60, you have a 1% chance of developing some form of dementia and your risk increases every year until you reach 85 when it levels off to 35%. If you have a parent with early onset Alzheimer\u2019s your chances of developing the disease dramatically increase. And if you don know someone who is close to you with Alzheimer\u2019s or other forms of dementia, trust me, you will.How to HelpIn many ways, having dementia it\u2019s like being dropped into a strange country with customs and a language you don understand. And just as you\u2019re learning how to maneuver your way, something changes and you have to start all over again. And nobody is there to provide you with a GPS for getting out.So how would you react if was your spouse, your parent or a friend who had dementia? Instead of providing lists of \u201cshouldisms\u201d and going into the specifics of Alzheimer\u2019s and dementia (see the links above), I thought I\u2019d just suggest some things to consider the next time you interact with a person who has or you suspect has dementia.Be Patient. It may take longer to process informationMemories are not willingly lost. There will be things someone with dementia won remember, both recent and distant. Not remembering has nothing to do with not trying.Accept changes. Dementia is progressive. The person\u2019s abilities today may be different tomorrow.Offer help to the person. There are few things more frightening then being disorientated, such as being a few blocks away from your house and not knowing how to get home. When you see someone who is obviously confused, don be afraid to offer help. The worse that happens is they say \u201cNo thank you.\u201d The best that happens is you'll provide unimaginable comfort to another human being.Offer Help to the Caregiver. Unless someone has been a long-term caregiver, they have no idea of the effort it takes. Offer to help. Anything will be appreciated. Knowing that people care is a blessing to the person receiving the offer, and as my mother would say a \"mitzvah\" to the person making the offer.You live in different worlds. As with any chronic or terminal disease, almost everything is seen through the perceptual filters of the disease, from noises to the frustrated looks of fast food cashiers.Be Compassionate. Imagine the person with dementia is your parent who you love dearly. How would you want other people to interact with him or her and even more importantly, what would you want them to feel after the interaction?Leave Them With the Best You Have to OfferYes, the person you once knew as gregarious will eventually withdraw inward to the point where you may not be able to connect with them. But that may be years away. Enjoy their presence while you still can and offer them the support and compassion you would want if it was you who were slowly moving on a one-way road to a strange, structureless place.We don know what the person with dementia takes with them to that place we\u2019re not allowed to enter. But doesn it make sense to give them memories that are pleasant rather than ones that aren?Stan Goldberg is author of Lessons for the Living: Stories of Forgiveness, Gratitude, and Courage at the End of Life. It has received six major national and international awards. His new book, Leaning Into Sharp Points: Practical Guidance and Nurturing Support for Caregivers will be published by New World Library in March, 2012. is not uncommon for individuals living with Alzheimer's disease to experience isolation and rejection from their loved ones. In a recent conversation with a friend, they shared their frustration about feeling ostracized by those around them when they were diagnosed with the disease. They expressed concern that their loved ones did not understand that Alzheimer's is not the same as the \"bloody plague,\" and that their reactions only served to exacerbate their own feelings of despair and loneliness.It's important to recognize that Alzheimer's is a complex and debilitating condition that affects not only the individual with the disease, but also their family members and caregivers. While it's natural for people to feel scared and unsure of how to respond when faced with a loved one's diagnosis, it's crucial to approach the situation with empathy, understanding, and patience.One of the biggest misconceptions about Alzheimer's is that it's a rapidly progressing and inevitably fatal disease. While it's true that the symptoms of Alzheimer's can worsen over" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr553", + "input": { + "question": "What technological development enabled composers to write a new kind of music?", + "context": "David Byrne How architecture helped music evolveThis is the venue where I, as a young man, some of the music that I wrote was first performed. It was, remarkably, a pretty good sounding room. With all the uneven walls and all the crap everywhere, it actually sounded pretty good. This is a song that was recorded there. (Music) This is not Talking Heads, in the picture anyway. (Music: \"A Clean Break (Let's Work)\" by Talking Heads) So the nature of the room meant that words could be understood. The lyrics of the songs could be pretty much understood. The sound system was kind of decent. And there wasn't a lot of reverberation in the room. So the rhythms could be pretty intact too, pretty concise. Other places around the country had similar rooms. This is Tootsie's Orchid Lounge in Nashville. The music was in some ways different, but in structure and form, very much the same. The clientele behavior was very much the same too. And so the bands at Tootsie's or at CBGB's had to play loud enough -- the volume had to be loud enough to overcome people falling down, shouting out and doing whatever else they were doing.Since then, I've played other places that are much nicer. I've played the Disney Hall here and Carnegie Hall and places like that. And it's been very exciting. But I also noticed that sometimes the music that I had written, or was writing at the time, didn't sound all that great in some of those halls. We managed, but sometimes those halls didn't seem exactly suited to the music I was making or had made. So I asked myself: Do I write stuff for specific rooms? Do I have a place, a venue, in mind when I write? Is that a kind of model for creativity? Do we all make things with a venue, a context, in mind?Okay, Africa. (Music: \"Wenlenga\" / Various artists) Most of the popular music that we know now has a big part of its roots in West Africa. And the music there, I would say, the instruments, the intricate rhythms, the way it's played, the setting, the context, it's all perfect. It all works perfect. The music works perfectly in that setting. There's no big room to create reverberation and confuse the rhythms. The instruments are loud enough that they can be heard without amplification, etc., etc. It's no accident. It's perfect for that particular context. And it would be a mess in a context like this. This is a gothic cathedral. (Music: \"Spem In Alium\" by Thomas Tallis) In a gothic cathedral, this kind of music is perfect. It doesn't change key. The notes are long. There's almost no rhythm whatsoever. And the room flatters the music. It actually improves it. This is the room that Bach wrote some of his music for. This is the organ. It's not as big as a gothic cathedral, so he can write things that are a little bit more intricate. He can, very innovatively, actually change keys without risking huge dissonances. (Music: \"Fantasia On Jesu, Mein Freunde\" by Johann S. Bach)This is a little bit later. This is the kind of rooms that Mozart wrote in. I think we're in like 1770, somewhere around there. They're smaller, even less reverberant, so he can write really frilly music that's very intricate -- and it works. (Music: \"Sonata in F,\" KV 13, by Wolfgang A. Mozart) It fits the room perfectly. This is La Scala. It's from around the same time. I think it was built around 1776. People in the audience in these opera houses, when they were built, they used to yell out to one another. They used to eat, drink and yell out to people on the stage, just like they do at CBGB's and places like that. If they liked an aria, they would holler and suggest that it be done again as an encore, not at the end of the show, but immediately. (Laughter) And well, that was an opera experience. This is the opera house that Wagner built for himself. And the size of the room is not that big. It's smaller than this. But, Wagner made an innovation. He wanted a bigger band. He wanted a little more bombast. So he increased the size of the orchestra pit so he could get more low-end instruments in there. (Music: \"Lohengrin / Prelude to Act III\" by Richard Wagner)Okay. This is Carnegie Hall. Obviously, this kind of thing became popular. The halls got bigger. Carnegie Hall's fair-sized. It's larger than some of the other symphony halls. And they're a lot more reverberant than La Scala. Around the same, according to Alex Ross who writes for the New Yorker, this kind of rule came into effect that audiences had to be quiet, no more eating, drinking and yelling at the stage, or gossiping with one another during the show. They had to be very quiet. So those two things combined meant that a different kind of music worked best in these kind of halls. It meant that there could be extreme dynamics, which there weren't in some of these other kinds of music. Quiet parts could be heard that would have been drowned out by all the gossiping and shouting. But because of the reverberation in those rooms like Carnegie Hall, the music had to be maybe a little less rhythmic and a little more textural. (Music: \"Symphony No. 8 in E Flat Major\" by Gustav Mahler) This is Mahler. It looks like Bob Dylan, but it's Mahler. That was Bob's last record, yeah.(Laughter)Popular music, coming along at the same time. This is a jazz band. According to Scott Joplin, the bands were playing on riverboats and clubs. Again, it's noisy. They're playing for dancers. There's certain sections of the song -- the songs had different sections that the dancers really liked. And they'd say, \"Play that part again.\" Well, there's only so many times you can play the same section of a song over and over again for the dancers. So the bands started to improvise new melodies. And a new form of music was born. (Music: \"Royal Garden Blues\" by W.C. Handy / Ethel Waters) These are played mainly in small rooms. People are dancing, shouting and drinking. So the music has to be loud enough to be heard above that. Same thing goes true for -- that's the beginning of the century -- for the whole of 20th-century popular music, whether it's rock or Latin music or whatever. [Live music] doesn't really change that much.It changes about a third of the way into the twentieth century, when this became one of the primary venues for music. And this was one way that the music got there. Microphones enabled singers, in particular, and musicians and composers, to completely change the kind of music that they were writing. So far, a lot of the stuff that was on the radio was live music, but singers, like Frank Sinatra, could use the mic and do things that they could never do without a microphone. Other singers after him, went even further. (Music: \"My Funny Valentine\" by Chet Baker) This is Chet Baker. And this kind of thing would have been impossible without a microphone. It would have been impossible without recorded music as well. And he's singing right into your ear. He's whispering into your ear. The effect is just electric. It's like the guy is sitting next to you, whispering who knows what into your ear.So at this point, music diverged. There's live music, and there's recorded music. And they no longer have to be exactly the same. Now there's venues like this, a discotheque, and there's jukeboxes in bars, where you don't even need to have a band. There doesn't need to be any live performing musicians whatsoever. And the sound systems are good. People began to make music specifically for discos and for those sound systems. And, as with jazz, the dancers liked certain sections more than they did others. So there early hip-hop guys would loop certain sections. (Music: \"Rapper's Delight\" by The Sugarhill Gang) The MC would improvise lyrics in the same way that the jazz players would improvise melodies. And another new form of music was born.Live performance, when it was incredibly successful, ended up in what is probably, acoustically, the worst sounding venues on the planet, sports stadiums, basketball arenas and hockey arenas. Musicians who ended up there did the best they could. They wrote what is now called arena rock, which is medium-speed ballads. (Music: \"I Still Haven't Found What I'm Looking For\" by U2) They did the best they could given that this is what they're writing for. The tempos are medium. It sounds big. It's more a social situation than a musical situation. And in some ways, the music that they're writing for this place works perfectly.So there's more new venues. One of the new ones is the automobile. I grew up with a radio in a car. But now that's evolved into something else. The car is a whole venue. (Music: \"Who U Wit\" by Lil' Jon & the East Side Boyz) The music that, I would say, is written for automobile sound systems, works perfectly on it. It might not be what you want to listen to at home, but it works great in the car -- has a huge frequency spectrum, you know, big bass and high-end and the voice kind of stuck in the middle. Automobile music, you can share with your friends.There's one other kind of new venue, the private MP3 player. Presumably, this is just for Christian music. (Laughter) And in some ways it's like Carnegie Hall, or when the audience had to hush up, because you can now hear every single detail. In other ways, it's more like the West African music because if the music in an MP3 player gets too quiet, you turn it up, and the next minute, your ears are blasted out by a louder passage. So that doesn't really work. I think pop music, mainly, it's written today, to some extent, is written for these kind of players, for this kind of personal experience where you can hear extreme detail, but the dynamic doesn't change that much.So I asked myself: Okay, is this a model for creation, this adaptation that we do? And does it happen anywhere else? Well, according to David Attenborough and some other people, birds do it too. That the birds in the canopy, where the foliage is dense, their calls tend to be high-pitched, short and repetitive. And the birds on the floor tend to have lower pitched calls, so they don't get distorted when they bounce off the forest floor. And birds like this Savannah sparrow, they tend to have a buzzing (Sound clip: Savannah sparrow song) type call. And it turns out that a sound like this is the most energy efficient and practical way to transmit their call across the fields and savannahs. Other birds, like this tananger, have adapted within the same species. The tananger on the east coast of the United States, where the forests are a little denser, has one kind of call, and the tananger on the other side, on the west, (Sound clip: Scarlet tanager song) has a different kind of call. (Sound clip: Scarlet tanager song) So birds do it too.And I thought: Well, if this is a model for creation, if we make music, primarily the form at least, to fit these contexts, and if we make art to fit gallery walls or museum walls, and if we write software to fit existing operating systems, is that how it works? Yeah. I think it's evolutionary. It's adaptive. But the pleasure and the passion and the joy is still there. This is a reverse view of things from the kind of traditional romantic view. The romantic view is that first comes the passion and then the outpouring of emotion, and then somehow it gets shaped into something. And I'm saying, well, the passion's still there, but the vessel that it's going to be injected into and poured into, that is instinctively and intuitively created first. We already know where that passion is going. But this conflict of views is kind of interesting.The writer, Thomas Frank, says that this might be a kind of explanation why some voters vote against their best interests, that voters, like a lot of us, assume, that if they hear something that sounds like it's sincere, that it's coming from the gut, that it's passionate, that it's more authentic. And they'll vote for that. So that, if somebody can fake sincerity, if they can fake passion, they stand a better chance of being selected in that way, which seems a little dangerous. I'm saying the two, the passion, the joy, are not mutually exclusive.Maybe what the world needs now is for us to realize that we are like the birds. We adapt. We sing. And like the birds, the joy is still there, even though we have changed what we do to fit the context.Thank you very much.(Applause) it always fun to learn about the history of how music evolved? David Byrne shares a story about how architecture helped music become more popular. He explains that the size of the room, the volume of the sound system, and the texture of the music all contribute to how well it's received by audiences. He also mentions that the nature of the room, such as uneven walls and crap everywhere, can actually improve the sound quality by diffusing the sound waves. Overall, David believes that the context in which music is performed plays a crucial role in shaping its style and reception." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr349", + "input": { + "question": "Name an activity that contributes to waste rainwater.", + "context": "To curb climate change, we need to protect waterAn international rescue plan for fresh waterIt is widely acknowledged that greenhouse gas emission-fueled climate change is having a profound and negative impact on fresh water systems around the world. Warmer weather causes more rapid evaporation of lakes and rivers, reduced snow and ice cover on open water systems, and melting glaciers.What is less understood is that our collective abuse and displacement of fresh water is also a serious cause of climate change and global warming. If we are to successfully address climate change, it is time to include an analysis of how our abuse of water is an additional factor in the creation of global warming as well as solutions that protect water and watersheds.There are two major factors. The first is the actual displacement of water from where it is sustaining a healthy ecosystem as well as healthy hydrologic cycles. Because humanity has polluted so much surface water on the planet, we are now mining the groundwater far faster than it can be replaced by nature. New Scientist reports of a \"little-heralded crisis\" all over Asia as a result of the exponential drilling of groundwater. Water is moved from where nature has put it in watershed and aquifers (where we can access it) to other place where it is used for flood irrigation and food production - where much of it lost to evaporation - or to supply the voracious thirst of mega cities, where it is usually dumped as waste into the ocean.Water is also lost to ecosystems through global trade - water used in the in the production of crops or manufactured goods that are then exported (known as virtual trade in water). Over 20% of daily water used for human purpose is exported out of watersheds in this way. Water is also piped across long distances for industry leaving behind parched landscapes.The second factor is the removal of the vegetation needed for a healthy hydrologic cycle. Urbanization, deforestation and wetland destruction greatly destroy water-retentive landscapes and lead to the loss of precipitation over the affected area.Slovakian scientist Michal Kravcik and his colleagues explain that the living world influences the climate mainly by regulating the water cycle and the huge energy flows linked to it. Transpiring plants, especially forests, work as a kind of biotic pump, causing humid air to be sucked out of the ocean and transferred to dry land. If the vegetation is removed from the land, this natural system of biosphere regulation is interrupted. Soil erodes, reducing the content of organic material in the ground, thus reducing its ability to hold water. Dry soil from lost vegetation traps solar heat, sharply increasing the local temperature and causing a reduction in precipitation over the affected area. This process also destroys the natural sequestration of carbon in the soil, leading to carbon loss.Of course, these two factors are deeply related. Just as removing vegetation from an ecosystem will dry up the soil, so too will removing water from an ecosystem mean reduced or non-existent vegetation.Taken together, these two factors are hastening the desertification of the planet, and intensifying global warming. Even if we successfully address and reverse greenhouse gas emissions and our dependence on fossil fuels, Kravcik says, we will not be able to stop climate change if we do not deal with the impact of our abuse of water on the planet.Unless we collectively address the crisis of fresh water and our cavalier treatment of the world's water systems, we will not restore the climate to health.Restoration of WatershedsThe solution to the water half of this crisis is the massive restoration of watersheds. Bring water back into parched landscapes. Return water that has disappeared by retaining as much rainwater as possible within the ecosystem so that water can permeate the soil, replenish groundwater systems, and return to the atmosphere to regulate temperatures and renew the hydrologic cycle. All human, industrial and agricultural activity must become part of this project, which could employ millions and alleviate poverty in the global South. Our cities must be ringed with green conservation zones and we must restore forests and wetlands - the lungs and kidneys of fresh water. For this to be successful, three basic laws of nature must be addressed.1. It is necessary to create the conditions that allow rainwater to remain in local watersheds. This means restoring the natural spaces where rainwater can fall and where water can flow. Water retention can be carried out at all levels: roof gardens in family homes and office buildings; urban planning that allows rain and storm water to be captured and returned to the earth; water harvesting in food production; capturing daily water discharge and returning it clean to the land, not to the rising oceans.2. We cannot continue to mine groundwater supplies at a rate greater than natural recharge. If we do, there will not be enough water for the next generation. Governments everywhere must undertake intensive research into their groundwater supplies and regulate groundwater takings before these underground reservoirs are gone. This may mean a shift in policy from export to domestic and local production.3. We must stop polluting our surface and groundwater sources - and we must back up this intention with strict legislation. Water abuse in oil and methane gas production and in mining must stop. We must wean ourselves of industrial and chemical-based agricultural practices and listen to the many voices sounding the alarm about the rush toward water-guzzling bio fuel farming. We need to promote \"subsidiarity,\" whereby national policies and international trade rules support local food production in order to protect the environment and promote local sustainable agriculture. Such policies also discourage the virtual trade in water. Countries should also limit or ban the mass movement of water by pipeline. Government investment in water and wastewater infrastructure would save huge volumes of water lost every day. Local laws could enforce water-harvesting practices at every level.Toward a Water Secure WorldClearly, for this rescue plan to be successful, governments around the world must acknowledge the water crisis and the part the role water abuse plays in the warming (and drying) of the planet. This in turn means that a nation's water resources must be considered in every government policy at all levels. Nations must undertake intensive studies to ascertain the health of watersheds and groundwater reserves. All activities that will impact water must conform to a new ethic - backed by law - that protects water sources from pollution and over-pumping. This will likely mean a strong challenge to government policies that favour unlimited global economic growth.Nearly two billion people live in water-stressed regions of the earth. Until now, the UN has addressed this terrible reality with a program to give them access to groundwater sources. But current levels of groundwater takings are unsustainable. To truly realize the universal right to water, and to protect water for nature's own uses, means a revolution in the way we treat the world's finite water resources. There is no time to lose. We must act now.ext'" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr331", + "input": { + "question": "What disadvantage does corn have for producing biofuels?", + "context": "3 things you need to know about biofuelsWhy care about liquid fuel?There\u2019s a reason we use different forms of energy to do different jobs, and it\u2019s not because we\u2019re all just that fickle. Instead, we\u2019ve made these decisions based on some combination of what has (historically, anyway) given us the best results, what is safest, what is most efficient, and what costs us the least money.In a nutshell, that\u2019s why liquid fuel is so valuable. So far, it\u2019s the clear winner when we need energy for transportation\u2014especially air transportation and heavy, long-distance shipping\u2014because it allows you to stuff a lot of energy into relatively small amount of storage space, and easily refill on the go. There are other options, of course, like electricity. And that can work quite well, depending on what you\u2019re trying to do. Eventually, we may find ourselves in a world where liquid fuel is no longer the best option. But we aren there yet. And for those forms of transport that take us into the air or move our belongings very long distances, we aren't likely to get there for a good long time.That's why I care about liquid fuel, and why I'm interested in the future of biofuels. Yes, biofuels do have a future. But what that future will be depends on whether we can control for some very messy variables. Here, in three points, are the big things you need to know about biofuel.1. Corn ethanol really is flawed. But maybe not as much as you think.Biofuel is a nice, round word encompassing a lot of tricky, little, oddly shaped dots. You can make biofuel from lots of different things, in lots of different ways. Corn ethanol, cellulosic ethanol, bio-oil, bio-diesel, algae oil\u2014they all have some benefits and some detriments, which means they all have some big backers and some big haters. Right now, any biofuel produced at a big, commercially useful scale is bound to be ethanol, and in the United Sates, that means corn ethanol. But, from what I see, the evidence favors using options that aren dependent on a dedicated corn crop. That\u2019s not to say that corn ethanol is the devil\u2014its bad reputation comes, at least in part, from backlash against some pretty heinous overselling\u2014but it does have some big drawbacks and we might have an easier time making truly Green biofuels another way.Part of this stems from corn\u2019s big appetite for inputs, like fertilizer. Those inputs represent energy spent, and energy spent is (in today\u2019s world) greenhouse gas emissions produced. The more energy you have to spend on producing a biofuel\u2014from making fertilizer and running the tractor for annual replanting, to powering the fuel production process and shipping fuel to the gas station\u2014the less benefit you actually end up with at the end. There are lots of different ways to tally those numbers up, but Argonne National Laboratory has one of the best calculators around. Called GREET\u2014a perky, welcoming acronym for The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model\u2014it\u2019s a software program that adds up all the different ways energy is used and greenhouse gases are emitted over the life of a fuel, and runs simulations based on variables like geographic location, types of farming methods, and types of fuel production methods.GREET figures that corn ethanol really can be better than gasoline. You can get more energy out of a gallon of corn ethanol than you used to make it. And a gallon of corn ethanol can reduce greenhouse gas emissions by somewhere between 18% and 28%, compared to a gallon of gasoline.But here comes our friend, the yesbut. Yes, you can get an emissions benefit from corn ethanol. But, this only works if the ethanol plant is powered by natural gas. If it runs on coal, you\u2019re not reducing emissions at all.Also: The picture only looks this rosy when you compare corn ethanol to gasoline, but not to any of the other competing biofuels. A 28% reduction in greenhouse gas emissions sounds fabulous, until you look at cellulosic biofuels\u2014made from things like grass, stems, wood chips, and trash paper. There\u2019s lots of different ways to make cellulosic biofuels, including a cellulosic version of ethanol, and they reduce emissions by a whopping 82%-to-87%. Nobody is producing them at scale yet, but in a world of limited time and resources, cellulosic biofuels look like a better bang for our buck. Plus, you get some ancillary benefits from the plants that make cellulosics that corn can't match, including improvements to soil quality, and reduction of erosion.2. We can screw up cellulosic biofuel, too.It\u2019s important that I don give cellulosic biofuels the used-car lot megaphone treatment that corn ethanol received. They\u2019re better, not perfect, and a lot of the research being done on cellulosic biofuels is focused on figuring out how to not screw them up. They could still backfire spectacularly\u2014driving up food prices, dumping more fertilizer into the Mississippi, or even increasing the amount of carbon dioxide in the atmosphere. To keep that from happening, scientists say we have to pay a lot of attention to what\u2019s being grown, and where.For instance, in the Midwest, it\u2019s likely the best biofuel crop won be a single crop at all. David Tilman, an ecologist at the University of Minnesota and winner of the 2008 International Prize for Biology, has been studying prairie plant biofuels for more than a decade.Out on the prairie, Tilman and his team found significant problems with growing a field of nothing but switch grass. By its lonesome, the grass grows in the sickly, patchy style of a 15-year-old\u2019s goatee\u2014creating a temptation to douse it in fertilizer. After seven years, Tilman said, it usually needs to be plowed under and planted again. But when the team planted a mix of four native grasses and four native legumes\u2014think alfalfa or clover\u2014the results were very different. Together, the plants grew in a thick mass and didn need to be re-seeded or fertilized. After 10 years, Tilman found these mixtures were producing 238 percent more energy, every year, than any one plant grown alone. They also made the soil more fertile, naturally increasing levels of nitrogen and phosphorous. \u201cIt makes sense,\u201d Tilman said. \u201cIt\u2019s a mixture of prairie plants that made that soil to begin with.\u201dBut even the most well-meaning, soil-enriching mix of plants has to deal with the problem of land-use change.3. Land use matters. But there's still a lot we don't know about that.Direct land-use change is easy to wrap one\u2019s head around. Say you own an acre of timber and you decide to clear it, because you can get a good price for growing biofuel crops there, instead. That timber was locking in a lot of carbon in the form of trees, and plants, and virgin soil. Depending on what happens to the trees, and how you treat that soil, you can end up inadvertently releasing a lot of carbon dioxide into the atmosphere. Enough to affect the net emissions of the biofuel crop you grow there later.Indirect land-use change is a little more thorny. The world, as they say, is flat. An acre of corn or wheat grown in the United States isn merely used to fatten American cattle or bake American bread. We participate in a global food market and what we do here has consequences abroad. So, if a farmer in the Midwest decides that she\u2019s going to take an acre of corn and replant it with a prairie grass and legume mix for biofuel, what happens?Some experts are worried it would lead to an decrease in availability of corn, which would lead to a rise in the price of corn, and a farmer in some other part of the world, or even just another part of the U.S., deciding that he\u2019s going to capture that cash benefit by taking an acre of timber and turning it into an acre of corn. Or, just as bad, that the price increase would lead someone, somewhere, to go hungry.At first glance, that logic sounds foolproof. And most researchers agree that it has to be taken into account and studied as we plan the future of energy. But, when you ask how big an impact land\u2014use change might have\u2014that\u2019s when the experts start to disagree.There are some researchers who think land-use change basically negates the usefulness of all but a tiny portion of biofuels that come from certain farm, industrial, and municipal wastes. There are others who think that it won really be a problem. Based on the majority of scientists I've spoken with and the research I've read, I think the reality lies somewhere in between, and that there\u2019s a good chance cellulosic fuels can skirt the issue if they\u2019re done the way people like David Tilman have proposed.At the heart of this debate: How well the computer models used to predict land-use change reflect reality. A model is only as accurate as the assumptions that go into it, and critics say that the worst-case-scenarios are based on some pretty faulty assumptions. First, there\u2019s the assumption that increased demand for a crop like corn will inevitably lead to deforestation, or plowing under previously wild land. But in the United States, as well as overseas, there\u2019s a surprising amount of previously cleared land that isn being used to grow much of anything, either because farmers have been paid a subsidy to leave it fallow, or because the land turned out to be no good for annual row crops, or, as is common in developing countries like Brazil, because cleared land is owned land\u2014even if you\u2019re just keeping one cow on it.\u201cWe\u2019re only using between half and a fourth of all previously cleared forest land on Earth for crop production in any given year,\u201d says Keith Kline, a global change and developing countries analyst with the Oak Ridge National Laboratory.Kline, who worked in developing countries for 22 years studying and promoting biodiversity, is one of several scientists I spoke with who said that\u2014contrary to some land-use change models\u2014deforestation is not about crop prices. At least, not solely. Social and cultural factors\u2014like the desire to own land you can get for free just by clearing it\u2014are equally important. You can assume that a rise in global crop prices will naturally lead to an increase in deforestation, or that deforestation would stop if crop prices stayed the same or went down. In fact, according to Kline, the highest rates of deforestation worldwide happened in the 1990s, before the ethanol boom in the U.S. and at a time when food commodity prices were consistently low. And deforestation rates have been falling ever since.The second bad assumption the worst-case models make is that the same amount of land can grow more crops. Perennial mixes for cellulosic biofuels could actually be grown alongside row crops, or on the same land, between the harvest and next planting, Tilman told me. At the same time, crop yields\u2014the amount of useable stuff you can grow without increasing the square footage\u2014have consistently gone up, every year, in the United States. That happens in small increments today, but there\u2019s plenty of room for yields to improve dramatically overseas. The productivity of what you do with the crops can also increase. For instance, most corn is actually used for feeding livestock, not people. But less corn being available doesn necessarily mean people eat less meat. Instead, they might just switch the kind of meat they eat. It takes about 10x as much corn to grow a pound of beef as it takes to grow a pound of chicken.Finally, some predictions in the worst-case models don match up with what we\u2019ve seen in the real-world. They assume corn exports will go down, as U.S. ethanol production rises, leading to those higher global prices that theoretically inspire deforestation to begin with. But that\u2019s not what happened. Instead, in 2007, as corn ethanol production in America hit 6 billion gallons, corn exports rose by 14 percent, compared to the previous year. In fact, they\u2019ve been, generally, trending on the rise since 2003. And there\u2019s no sign of that trend slowing down anytime soon. So, even though there\u2019s no question that land-use change is a legitimate concern, it seems like there\u2019s also plenty of room for optimism about biofuels. If we can control for some of the variables, biofuels might actually be able to provide the environmental benefits we want, along with the economic ones we need. |||||The article discusses the importance of liquid fuel for transportation and the potential benefits and drawbacks of biofuels as a solution. The author argues that while biofuels have some advantages over traditional fossil fuels, such as the ability to store large amounts of energy in smaller amounts of storage space, there are also many challenges to overcome. One major challenge is the dependence on dedicated corn crops for ethanol production, which requires a lot of inputs and contributes to greenhouse gas emissions through the use of fossil fuels. Another challenge is the potential for indirect land-use change due to the displacement of food crops" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr328", + "input": { + "question": "Who has combined several plants with the purpose of studying their efficiency for producing biofuels?", + "context": "3 things you need to know about biofuelsWhy care about liquid fuel?There\u2019s a reason we use different forms of energy to do different jobs, and it\u2019s not because we\u2019re all just that fickle. Instead, we\u2019ve made these decisions based on some combination of what has (historically, anyway) given us the best results, what is safest, what is most efficient, and what costs us the least money.In a nutshell, that\u2019s why liquid fuel is so valuable. So far, it\u2019s the clear winner when we need energy for transportation\u2014especially air transportation and heavy, long-distance shipping\u2014because it allows you to stuff a lot of energy into relatively small amount of storage space, and easily refill on the go. There are other options, of course, like electricity. And that can work quite well, depending on what you\u2019re trying to do. Eventually, we may find ourselves in a world where liquid fuel is no longer the best option. But we aren there yet. And for those forms of transport that take us into the air or move our belongings very long distances, we aren't likely to get there for a good long time.That's why I care about liquid fuel, and why I'm interested in the future of biofuels. Yes, biofuels do have a future. But what that future will be depends on whether we can control for some very messy variables. Here, in three points, are the big things you need to know about biofuel.1. Corn ethanol really is flawed. But maybe not as much as you think.Biofuel is a nice, round word encompassing a lot of tricky, little, oddly shaped dots. You can make biofuel from lots of different things, in lots of different ways. Corn ethanol, cellulosic ethanol, bio-oil, bio-diesel, algae oil\u2014they all have some benefits and some detriments, which means they all have some big backers and some big haters. Right now, any biofuel produced at a big, commercially useful scale is bound to be ethanol, and in the United Sates, that means corn ethanol. But, from what I see, the evidence favors using options that aren dependent on a dedicated corn crop. That\u2019s not to say that corn ethanol is the devil\u2014its bad reputation comes, at least in part, from backlash against some pretty heinous overselling\u2014but it does have some big drawbacks and we might have an easier time making truly Green biofuels another way.Part of this stems from corn\u2019s big appetite for inputs, like fertilizer. Those inputs represent energy spent, and energy spent is (in today\u2019s world) greenhouse gas emissions produced. The more energy you have to spend on producing a biofuel\u2014from making fertilizer and running the tractor for annual replanting, to powering the fuel production process and shipping fuel to the gas station\u2014the less benefit you actually end up with at the end. There are lots of different ways to tally those numbers up, but Argonne National Laboratory has one of the best calculators around. Called GREET\u2014a perky, welcoming acronym for The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model\u2014it\u2019s a software program that adds up all the different ways energy is used and greenhouse gases are emitted over the life of a fuel, and runs simulations based on variables like geographic location, types of farming methods, and types of fuel production methods.GREET figures that corn ethanol really can be better than gasoline. You can get more energy out of a gallon of corn ethanol than you used to make it. And a gallon of corn ethanol can reduce greenhouse gas emissions by somewhere between 18% and 28%, compared to a gallon of gasoline.But here comes our friend, the yesbut. Yes, you can get an emissions benefit from corn ethanol. But, this only works if the ethanol plant is powered by natural gas. If it runs on coal, you\u2019re not reducing emissions at all.Also: The picture only looks this rosy when you compare corn ethanol to gasoline, but not to any of the other competing biofuels. A 28% reduction in greenhouse gas emissions sounds fabulous, until you look at cellulosic biofuels\u2014made from things like grass, stems, wood chips, and trash paper. There\u2019s lots of different ways to make cellulosic biofuels, including a cellulosic version of ethanol, and they reduce emissions by a whopping 82%-to-87%. Nobody is producing them at scale yet, but in a world of limited time and resources, cellulosic biofuels look like a better bang for our buck. Plus, you get some ancillary benefits from the plants that make cellulosics that corn can't match, including improvements to soil quality, and reduction of erosion.2. We can screw up cellulosic biofuel, too.It\u2019s important that I don give cellulosic biofuels the used-car lot megaphone treatment that corn ethanol received. They\u2019re better, not perfect, and a lot of the research being done on cellulosic biofuels is focused on figuring out how to not screw them up. They could still backfire spectacularly\u2014driving up food prices, dumping more fertilizer into the Mississippi, or even increasing the amount of carbon dioxide in the atmosphere. To keep that from happening, scientists say we have to pay a lot of attention to what\u2019s being grown, and where.For instance, in the Midwest, it\u2019s likely the best biofuel crop won be a single crop at all. David Tilman, an ecologist at the University of Minnesota and winner of the 2008 International Prize for Biology, has been studying prairie plant biofuels for more than a decade.Out on the prairie, Tilman and his team found significant problems with growing a field of nothing but switch grass. By its lonesome, the grass grows in the sickly, patchy style of a 15-year-old\u2019s goatee\u2014creating a temptation to douse it in fertilizer. After seven years, Tilman said, it usually needs to be plowed under and planted again. But when the team planted a mix of four native grasses and four native legumes\u2014think alfalfa or clover\u2014the results were very different. Together, the plants grew in a thick mass and didn need to be re-seeded or fertilized. After 10 years, Tilman found these mixtures were producing 238 percent more energy, every year, than any one plant grown alone. They also made the soil more fertile, naturally increasing levels of nitrogen and phosphorous. \u201cIt makes sense,\u201d Tilman said. \u201cIt\u2019s a mixture of prairie plants that made that soil to begin with.\u201dBut even the most well-meaning, soil-enriching mix of plants has to deal with the problem of land-use change.3. Land use matters. But there's still a lot we don't know about that.Direct land-use change is easy to wrap one\u2019s head around. Say you own an acre of timber and you decide to clear it, because you can get a good price for growing biofuel crops there, instead. That timber was locking in a lot of carbon in the form of trees, and plants, and virgin soil. Depending on what happens to the trees, and how you treat that soil, you can end up inadvertently releasing a lot of carbon dioxide into the atmosphere. Enough to affect the net emissions of the biofuel crop you grow there later.Indirect land-use change is a little more thorny. The world, as they say, is flat. An acre of corn or wheat grown in the United States isn merely used to fatten American cattle or bake American bread. We participate in a global food market and what we do here has consequences abroad. So, if a farmer in the Midwest decides that she\u2019s going to take an acre of corn and replant it with a prairie grass and legume mix for biofuel, what happens?Some experts are worried it would lead to an decrease in availability of corn, which would lead to a rise in the price of corn, and a farmer in some other part of the world, or even just another part of the U.S., deciding that he\u2019s going to capture that cash benefit by taking an acre of timber and turning it into an acre of corn. Or, just as bad, that the price increase would lead someone, somewhere, to go hungry.At first glance, that logic sounds foolproof. And most researchers agree that it has to be taken into account and studied as we plan the future of energy. But, when you ask how big an impact land\u2014use change might have\u2014that\u2019s when the experts start to disagree.There are some researchers who think land-use change basically negates the usefulness of all but a tiny portion of biofuels that come from certain farm, industrial, and municipal wastes. There are others who think that it won really be a problem. Based on the majority of scientists I've spoken with and the research I've read, I think the reality lies somewhere in between, and that there\u2019s a good chance cellulosic fuels can skirt the issue if they\u2019re done the way people like David Tilman have proposed.At the heart of this debate: How well the computer models used to predict land-use change reflect reality. A model is only as accurate as the assumptions that go into it, and critics say that the worst-case-scenarios are based on some pretty faulty assumptions. First, there\u2019s the assumption that increased demand for a crop like corn will inevitably lead to deforestation, or plowing under previously wild land. But in the United States, as well as overseas, there\u2019s a surprising amount of previously cleared land that isn being used to grow much of anything, either because farmers have been paid a subsidy to leave it fallow, or because the land turned out to be no good for annual row crops, or, as is common in developing countries like Brazil, because cleared land is owned land\u2014even if you\u2019re just keeping one cow on it.\u201cWe\u2019re only using between half and a fourth of all previously cleared forest land on Earth for crop production in any given year,\u201d says Keith Kline, a global change and developing countries analyst with the Oak Ridge National Laboratory.Kline, who worked in developing countries for 22 years studying and promoting biodiversity, is one of several scientists I spoke with who said that\u2014contrary to some land-use change models\u2014deforestation is not about crop prices. At least, not solely. Social and cultural factors\u2014like the desire to own land you can get for free just by clearing it\u2014are equally important. You can assume that a rise in global crop prices will naturally lead to an increase in deforestation, or that deforestation would stop if crop prices stayed the same or went down. In fact, according to Kline, the highest rates of deforestation worldwide happened in the 1990s, before the ethanol boom in the U.S. and at a time when food commodity prices were consistently low. And deforestation rates have been falling ever since.The second bad assumption the worst-case models make is that the same amount of land can grow more crops. Perennial mixes for cellulosic biofuels could actually be grown alongside row crops, or on the same land, between the harvest and next planting, Tilman told me. At the same time, crop yields\u2014the amount of useable stuff you can grow without increasing the square footage\u2014have consistently gone up, every year, in the United States. That happens in small increments today, but there\u2019s plenty of room for yields to improve dramatically overseas. The productivity of what you do with the crops can also increase. For instance, most corn is actually used for feeding livestock, not people. But less corn being available doesn necessarily mean people eat less meat. Instead, they might just switch the kind of meat they eat. It takes about 10x as much corn to grow a pound of beef as it takes to grow a pound of chicken.Finally, some predictions in the worst-case models don match up with what we\u2019ve seen in the real-world. They assume corn exports will go down, as U.S. ethanol production rises, leading to those higher global prices that theoretically inspire deforestation to begin with. But that\u2019s not what happened. Instead, in 2007, as corn ethanol production in America hit 6 billion gallons, corn exports rose by 14 percent, compared to the previous year. In fact, they\u2019ve been, generally, trending on the rise since 2003.3. What we need to know about biofuels.Overall, the most important thing to know about biofuels is this: They\u2019re not going away anytime soon. And while they have a lot of potential to help solve our energy and climate problems, they\u2019re not going to solve them on their own. They have to be combined with other strategies, like energy efficiency and renewable electricity generation. But biofuels can play a role, too. And if we want to make sure that role is as effective as possible, we need to continue to invest in research and development to figure out how to make them better, cheaper, and greener. So, I\u2019ll repeat myself: I care about liquid fuel. And I\u2019m interested in the future of biofuels. summaryThe author cares about liquid fuel because it provides a clear advantage over other forms of energy for transporting goods over long distances. Biofuels have the potential to replace fossil fuels, but there are many challenges to overcome" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr089", + "input": { + "question": "Name one reason why electronic dance music owes a debt to Kraftwerk.", + "context": "Electronic music. Electronic music intended primarily for dancing at nightclubs and raves. Electronic dance music (EDM), or simply \"dance music\", is characterized by rapid evolution - hundreds of subgenres and hybrid genres have been created since its inception in the 1980s. Whereas EDM has achieved widespread popularity in Europe and the UK, it remains a comparatively underground phenomenon in the United States. The production and distribution of EDM has not been particularly adaptable to the American music industry, whose practices have been largely shaped by rock and pop. In addition, because EDM does not follow a standard song structure and often features very lengthy tracks, it does not easily lend itself to commercial radio. Ironically, while EDM culture operates below the radar in the United States, it can be heard frequently in American television programs, films, advertisements, and video games. EDM is produced \"from the beats up\", in that melodies, vocals and sound effects are layered over a steady beat. A notable feature of many EDM tracks is the utilization of Sampling and sequencing, hip hop, a practice in which a discrete portion of sound is recorded and then inserted into a new piece of music. Ethical and legal issues notwithstanding, EDM producers and DJs capitalize on the creative impulse to reuse, recycle, or rework previously created material. 1. Roots Some of the earliest structures and concepts that inform EDM production include Italian futurist Luigi Russolo's \"noise music\" (1913). Russolo created instruments that reproduced the sounds of industry and machines (intonarumori), and composed pieces incorporating these sounds. The concept of music as the sound of everyday life reappeared in 1948, as experimentalist composers Pierre Henry and Pierre Schaeffer pioneered a technique of musical composition called musique concr\u00e8te. Various sounds were recorded onto reel-to-reel tape, which was cut and spliced together to construct a piece of music. The advent of digital sampling in the 1980s made this process easier and more deliberate. In the 1970s Jamaican-born Kool herc, a pioneering hip-hop DJ, invented a practice similar to sampling. Calling his technique \"the merry-go-round\", Herc would place two copies of the same record on two separate turntables, so that he could play the drum break on one copy and replay it on the other copy, creating the effect of a continuous loop. DJs such as Grandmaster Flash continued Herc's practice of looping drum breaks on two turntables, making it quicker and more precise. This technique has proven highly influential to EDM producers, many of whom began using looped drum breaks as the basis of their tracks. (See also Turntablism.) In the 1960s and 1970s, Jamaican dub reggae producers like Osbourne \"King Tubby\" Ruddock, and Lee \"Scratch\" Perry produced remixes (or \"versions\") of reggae singles - a practice that would later be adopted by EDM producers and DJs. King Tubby also experimented with various studio techniques that emphasized bass frequencies, so that his tracks would make a greater impact when played on sound systems at dance parties. The emphasis placed on bass in a dance party environment has carried over into EDM and rave culture. The early sound of EDM, especially electro and techno, owes a great debt to the German group Kraftwerk. In addition to making extensive use of electronic instruments - synthesizers, drum machines, and vocoders - the group perpetuated a mythos about technology and the future in songs such as \"Trans-Europe Express\" and \"Autobahn\". The disco producer Giorgio Moroder's work in the late 1970s was also influential. Moroder eschewed the symphonic flourishes of early disco in favor of an overtly electronic, \"futuristic\" sound, which relied heavily on sequencers. The 1977 smash hit \"I Feel Love\" was entirely synthesized, with the exception of Donna Summer's vocals. The Japanese band Yellow Magic Orchestra and British synth-pop groups such as the Human League and Depeche Mode also influenced many early producers of EDM. 2. Technologies. EDM was initially created with drum machines, sequencers and synthesizers. The proliferation of cheap, portable synthesizers in the early 1980s - most famously the Roland TB-303 \"bass synthesizer\" and the Roland TR-808 and TR-909 drum machines - allowed synthesizer-based music to move from research labs, recording studios, and concert halls to more casual, egalitarian confines. (See Synthesizer.) The Linn LM-1 Drum Computer, the first drum machine to use digital samples, was introduced in 1980 at a retail price of around $5000; its successor, the Linn Drum, released in 1982, was somewhat more affordable. While the Linn Drum gained favor with popular mainstream artists such as Prince and the Human League, its price was still out of reach for the average producer. The Roland TR-808, which would become a bedrock of techno, hip-hop and house music, retailed at one-fifth the price of the LM-1, around $1,000 upon its initial release in 1980. It was an analog drum machine, which produced tinny, less realistic drum sounds than the Linn LM-1, which sampled acoustic instruments. But its price, ease of use (its colored buttons made it look like a toy) and distinctive presets, such as the cowbell sound, made it extremely popular. EDM's growth was also spurred by the introduction of the MIDI (Musical Instrument Digital Interface) protocol in 1983. MIDI allowed subsequent drum machines such as the Roland TR-909 to synchronize easily with other electronic devices. (See Electronic percussion.) Since the early 1990s, computer software has greatly facilitated EDM production. Programs like Reason, Cubase, and Ableton Live provide producers with a virtual sequencer, sampler, drum machine, and soundbank of a wide range of musical instruments. Such equipment enables producers easily to incorporate various effects such as reverb, delay, compression and equalization. 3. EDM in performance. Electronic dance music's performance in nightclubs has traditionally relied on DJs mixing 12-inch vinyl records on two turntables. This common setup was used by pioneering disco and hip-hop DJs in the 1970s to construct continuous mixes for dancers. Disco DJs such as Francis Grasso and Larry Levan advanced new turntable techniques designed to meet the demands of the dance floor. Grasso pioneered \"slip-cueing\" - holding the vinyl record still with his hand while the platter continued to turn underneath, allowing the record to be cued at a specific time. Grasso also helped develop the technique of \"beatmatching\" - matching the tempo of two records with each other, on two turntables, allowing for seamless mixing. Levan constructed continuous DJ mixes stretching over several hours at the legendary Paradise Garage club in downtown Manhattan in the mid-1970s, augmented with live effects and creative use of crossfaders and equalizers. (See also DJ (ii).) The main purpose of an EDM DJ, in a club or at a rave, is to take listeners/dancers on a type of musical journey. Because EDM is most often played for long stretches of time, DJs have to pace their sets by playing a combination of uptempo and downtempo music. Typically, a DJ begins with slower, mellow tracks, then gradually builds energy on the dancefloor with louder, faster and more well-known tracks. Experienced DJs have perfected the art of reading a crowd, choosing tracks whose style and character serve to maintain activity on the dancefloor through musical peaks and valleys. Yearly large-scale EDM festivals such as Winter Music Conference, Movement: Detroit's Electronic Music Festival, Moogfest and Electric Zoo Festival feature both EDM pioneers and upcoming DJs and producers. 4. EDM genres. Electro, short for \"electro-funk\", was the first electronic dance music genre of the 1980s to gain wide appeal. The sound of electro was brittle, spacey and completely electronic, often lyrically infused with sci-fi or futuristic themes. The Roland TR-808 was the drum machine of choice in most early electro tracks, and vocals were often fed through a vocoder to generate an eerie, robotic effect. Electro exhibited a good deal of crossover with early hip-hop, emblematized by \"Planet Rock\" (1982) by Afrika Bambaataa and the Soulsonic Force, Produced by Arthur Baker, the song paid literal tribute to Kraftwerk by incorporating elements of two of their songs, \"Trans-Europe Express\" and \"Numbers\". The seminal Detroit electro group Cybotron, formed in 1980 by Juan Atkins and Richard \"3070\" Davis, helped pave the way for the subsequent growth of Detroit techno. Techno and house music were birthed in the Midwest; techno was invented in Detroit in the early 1980s, and house was a product of Chicago in the mid-1980s. Named for their neighborhood west of Detroit, the \"Belleville Three\" - Juan Atkins, Kevin Saunderson, and Derrick May - were associated most strongly with techno's roots. Though producers such as May were associated with a more lyrical, soulful version of techno music, techno, for the most part, implied a harder sound, underpinned with a steady 4/4 beat hovering between 120-140 beats per minute. In contrast, house music, which owed more to the legacy of disco, was slightly slower in tempo and more likely to incorporate vocals, strings, and other flourishes. The term \"house\" is said to have come from the Warehouse club in Chicago, where house pioneer Frankie Knuckles was the resident DJ. In Chicago venues such as the Warehouse and the Music Box, this emerging sound flourished, fostered by ace DJs like Frankie Knuckles and the late Ron Hardy, and furthered by labels such as Trax and DJ International. House wasn't one sound, but a wide panorama of sounds, encompassing everything from the tender, moving melodies of Larry Heard to the twitchy, futuristic \"acid house\" of Phuture. House music, in its early days, often sported this signature \"acid\" sound - the rubbery, \"squelchy\" timbres of the Roland TB-303. Acid house would gain major commercial success in the UK a few years later, dovetailing with the rave movement that exploded in the late 1980s and early 1990s. Street drugs like LSD, mushrooms, and most notably MDMA (ecstasy), became increasingly popular with EDM audiences. MDMA had a particular synergy with electronic dance music for a number of reasons. First, as a psychedelic amphetamine, it offered a powerful stimulant for late-night DJ sets in clubs that fueled dancers well into the morning. Second, its mechanism of action - which causes the release of large amounts of the feel-good chemical serotonin, along with the neurotransmitters dopamine and norepinephrine - led to feelings of profound euphoria, empathy, and intimacy. The drug's array of physiological and psychological effects worked in tandem with acid house DJ sets, sending dancers on a musical and emotional journey. In London, clubs such as the exceedingly popular Shoom, were the gateway to rave culture, which soon became a global movement. Rave culture grew as well in response to the UK's high population density and its network of pirate radio stations that promoted EDM. By 1991, there were reports of up to 50,000 people attending large open-air raves in the UK. In the United States, rave culture spread more sporadically, in part because of strong competition with West Coast hip hop, alternative rock, and grunge. The closest that EDM came to being a mainstream phenomenon in the United States was in the 1990s, when music videos by acts such as the Chemical Brothers and the Prodigy became mainstays on MTV rotation. As the 1990s progressed, acid house, techno, and breakbeat hardcore (a genre based on drum breaks from funk and soul records) morphed and merged, creating ghettotech and ghetto house, Miami bass, Baltimore club, trance (or psytrance) and drum 'n' bass (or jungle). EDM continued to grow and splinter, producing new subgenres such as techstep, 2-step, so-called \"intelligent dance music\" or IDM, glitch, and so on. In the 21st century, genres such as grime and dubstep have attracted audiences in the UK as well as the United States and abroad. With the advent of the digital work station, cheap mixing/recording software, Internet exchange boards and self-distribution, the start-up costs for a prospective EDM producer are much lower than ever before. So it is not a surprise today to find new forms of EDM being produced all over the world, from India to South Africa, Israel to Japan and beyond. Incorporating traditional and popular musics close to home, artists such as Talvin Singh, Badmarsh and Shri, Cheb i Sabbah, Transglobal Underground, Banco de Gaia, and Fun-Da-Mental, have created versions of EDM that reflect their local experiences and identity. In this way, EDM has truly become a global phenomenon. Copyright (C) Oxford University Press 2007-2013. All rights reserved.This passage provides an overview of electronic dance music (EDM), including its history, origins, and current state. The author discusses the various subgenres and styles within EDM, as well as the role of technology in its creation and evolution. They also touch on the cultural context of EDM, including its relationship with hip-hop and the influence of drugs like ecstasy. Overall, the passage aims to provide a comprehensive understanding of EDM and its significance in contemporary music culture." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr255", + "input": { + "question": "Why is abstinence not enough to reduce the spread of HIV?", + "context": "AIDS policy in the U.S. remains deeply influenced by greed, religious dogma, and a disregard for women's rights, hindering progress in combating the epidemic. Despite significant advances in understanding the disease, U.S. policy prioritizes pharmaceutical profits over access to affordable treatment, particularly in the Global South, where most AIDS patients live. Patents on AIDS drugs prevent the production of cheaper generic medications, exacerbating the crisis.Religious ideologies also shape U.S. AIDS prevention strategies, with a heavy emphasis on abstinence and fidelity while downplaying the role of condoms. This approach has proven ineffective, as seen in Uganda, where HIV rates doubled after shifting the focus from condoms to abstinence. U.S. policy also undermines women\u2019s rights, especially in sub-Saharan Africa, where women represent the majority of new infections. The focus on abstinence ignores women's lack of power in sexual relationships, and the global gag rule prevents clinics from providing comprehensive health services, including abortion.The solution lies in a human rights-based approach to AIDS prevention and treatment. U.S. policy should support the use of generic AIDS medications to ensure universal access to treatment, and prioritize education, condom distribution, and women\u2019s empowerment in sexual health decisions. The U.S. should uphold commitments made in international agreements like the Doha Declaration to ensure affordable medicine for all. Furthermore, Congress should repeal the global gag rule and refocus U.S. funding on comprehensive, effective AIDS strategies that respect human rights." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr158", + "input": { + "question": "Where was there a climate summit that was a failure?", + "context": "Latin America: Climate Change Swing States U.S. Special Envoy for Climate Change Todd Stern traveled with Assistant Secretary of State for Western Hemisphere Affairs Arturo Valenzuela to Chile, Peru, and Ecuador last week, to discuss climate change with his government counterparts and civil society. Deepening bilateral and multilateral cooperation to increase economic growth, cutting greenhouse gasses, and helping climate-vulnerable populations were on the official program. But the political objective of the trip was to push the Copenhagen Accord \u2014 a controversial agreement the United States introduced to UN climate talks in 2009 and that several Latin American countries blocked \u2014 in advance of the climate summit in Mexico at the end of 2010. Stern's South American tour \u2014 only three weeks before the next UN Framework Convention on Climate Change (UNFCCC) negotiating session in Bonn \u2014 shows the increasingly important role of Latin American nations in reaching a climate deal. His itinerary offered a window into how the United States is using the climate debate as part of a larger agenda to secure political influence, trade, and access to resources in the hemisphere. An Emerging Latin America Wealthy countries (\"Annex 1\" in UNFCCC-speak) have long been at the center of the climate change negotiations. Together, these countries secure their power by probing at the fault lines that already exist between developing countries \u2014 often pitting the most impoverished nations against economically emerging ones. And Annex 1 countries repeatedly pass the buck to developing countries for the failure of negotiations, often blaming China, the Philippines, or any other country that refuses to go along with provisions that will fundamentally undermine developing countries' economic and ecological interests. Developing countries in the G77+China (a negotiating block that represents more than 130 nations) have been flexing their collective muscle in climate negotiations of late, especially around the right to develop. China and India, both major emitters of greenhouse gases, are considered influential players because any plan to reduce emissions without their participation would not stop climate chaos. Small island states and African nations hold moral authority, because climate change will be most devastating to their peoples. Latin America, meanwhile, has never been at the center of the climate debate \u2014 until now. This year, global climate negotiations will be held in Cancun, Mexico. The Mexican government is under intense pressure to avoid a repeat of the fiasco in Copenhagen. At that time, the Danish hosts floundered in procedural upheaval, left delegates shivering outside the convention hall while demonstrations erupted inside, and ultimately couldn't corral the assembled countries into adopting a comprehensive decision. The Mexican government is determined to make substantial progress on at least two key elements: climate finance and the use of carbon markets to reduce emissions from deforestation and forest degradation (REDD). At the same time, it's implicitly cautioning that prospects for a global climate deal don't look promising. Christina Figueres, the 15-year veteran of the Costa Rican negotiating team tapped as the new secretary of the UNFCCC, will be responsible for ensuring that negotiations don't run aground. Brazil, largest of the nine countries that make up the Amazon Basin, has positioned itself as a leader on REDD in the Americas. With millions of hectares of land and potentially trillions of dollars at stake \u2014 not to mention the rights of indigenous peoples and state sovereignty \u2014 Brazil is a key player. In addition, Bolivia has emerged, along with Ecuador, Nicaragua, and Venezuela, as a bastion for climate justice. Enraged by the exclusive process that led to the Copenhagen Accord, Bolivia called a summit of its own, inviting all governments and civil society to a World Peoples Conference on Climate Change and the Rights of Mother Earth in Cochabamba this April. One outcome of the global gathering was a Peoples Agreement that Bolivia officially submitted to the UNFCCC on behalf of global civil society. Disappointingly, the official text didn't reflect anything from this agreement. But Bolivia succeeded in generating critical mass for much of its content, including respect for indigenous peoples' rights; rejection of carbon offsetting; immediate and deep reductions in greenhouse gasses from industrialized countries; and the massive transfer of financial resources from developed to developing nations. The U.S. Agenda The United States clearly spelled out its agenda for the international climate negotiations in the strategic communications objectives accidentally leaked in April. At the top of the list was \"reinforc[ing] the perception that the U.S. is constructively engaged in UN negotiations in an effort to produce a global regime to combat climate change.\" The document also compels the U.S. negotiating team to \"create a clear understanding of the CA's [Copenhagen Accord's] standing and the importance of operationalizing ALL elements.\" The Copenhagen Accord embodies all of the major political demands of the United States. Binding commitments to reduce greenhouse gas emissions have been scaled back to a voluntary \"pledge and review\" process. The pledges made so far fall short of the 25-40 percent cuts by rich countries that scientists at the Intergovernmental Panel on Climate Change say are necessary to avoid climate catastrophe. Missing those targets carries no legal consequences. Also gone is the distinction between countries that released the vast majority of global warming gases throughout history and those that have recently joined the ranks of the largest emitters. The Copenhagen Accord requires all developing countries \u2014 except small island nations and least-developed countries \u2014 to implement greenhouse gas mitigation actions. In fact, the Accord actually stipulates more stringent transparency and reporting requirements for those nations than for wealthy countries. Developing countries predictably opposed the notion that they should take on binding emissions cuts before the most wealthy and largest emitters on the planet. They also note that the impact of symmetrical cuts is very different for people living in richer and poorer nations. For example, a 20 percent cut in U.S. rates would mean an average reduction to 16 tons of carbon per year per person. The same cut in India would move the average carbon footprint from 1.6 tons to 1.3 tons per year. In other words, even a modest cut in affluent countries would do little to change people's quality of life, but it would lock developing countries in poverty. The Copenhagen Accord extols market incentives to bring REDD and forest carbon trading online. REDD is critical to the U.S. pledge to cut emissions 17 percent from 2005 levels by 2020. Purchasing forest carbon credits is cheaper, faster, and easier than cleaning up polluting factories and power plants. Instead of reducing emissions in the United States, polluters would pay forested countries to keep their trees standing, thus \"buying\" the carbon in the trees to offset their continued release of greenhouse gasses at home. But offsets in general, and forest offsets in particular, have met resistance from climate scientists, financiers, and local communities because they are difficult to verify and impinge on traditional uses of and rights to forests. In addition, the accord outlines parameters for climate finance. It promises that developed countries will mobilize up to $30 billion by 2012 and $100 billion a year by 2020 for developing countries to adapt to climate change and move to low-carbon development pathways. Countries like Bolivia and Ecuador argue that rich countries instead owe the developing world a \"climate debt.\" The Annex 1 countries should repay this debt, in part, by drastically reducing emissions to make room for the people of non-Annex 1 countries to use their fair share of the planet's atmosphere. Because the industrialized world is in such arrears, climate justice proponents believe that there is no room for offsetting any carbon emissions by purchasing carbon credits. Instead, they demand wealthy countries cover communities' costs for adapting to a warming world, and make good on commitments enshrined in the UNFCCC to provide support for the transition to low-carbon development. The $100 billion per year outlined in the accord, according to data from the UNDP, UNFCCC, and World Bank, is wholly inadequate to meet these needs. At his first two stops in Chile and Peru last week, Stern obliquely scolded Copenhagen Accord detractors, saying that \"asserting positions that others can't accept will not advance the ball.\" Yet when the United States asserts positions that conflict with developing country interests, less powerful nations are expected to fall in line or fall out of favor. To add weight to its warning that countries cannot \"cherry pick\" the pieces of the accord they like, the United States cut $3 million in climate finance to Bolivia and $2.5 million to Ecuador. Stern stated that the funding was \"agreed to as part of the Copenhagen Accord, and as a general matter, the United States is going to use its funds to go to countries that have indicated an interest to be part of the Accord.\" The new U.S. \"paradigm for climate diplomacy\" introduced by climate negotiators in June would seem to include blackmailing developing countries that desperately need support to deal with the consequences of a crisis they did not create. Stern Goes South Also in the leaked strategic communications objectives was a proposal to \"consider a series of policy speeches/public forums during trips abroad to make our case directly to the developing world.\" Cue Todd Stern. The first stop on Stern's tour was Chile \u2014 a country that, with Colombia, worked to convince Bolivia and other developing countries to support the accord. In his address to students and faculty, assembled at the University of Chile's School of Economics and Business, Stern congratulated Chile for supporting the Copenhagen Accord. He highlighted the need for greater regional coordination and called on the Americas to install more clean energy to \"widen the circle of prosperity across our hemisphere and also reduce our carbon emissions.\" What Stern didn't mention is that Chile, as one of the global leaders in hydropower, is generating millions of carbon credits that developed countries would want if commitments to reduce emissions are made in Cancun or the year after. The United States already has established close economic ties with Chile in the free-trade agreement the two countries signed in 2004, and plans to fully liberalize trade by 2016 are underway. Energy and abundant carbon credits may well be two commodities that the United States will be shopping for by then. Peru, a country that's had a free trade agreement with the United States since early 2009, may also be an important source of cheap carbon credits, in much the same way it now makes minerals and metals readily available to corporations up north. According to Jose Alberto Garibaldi, a former member of Mexico's UNFCCC negotiating team, Peru has been maneuvering behind the scenes to find an agreement on reducing emissions from deforestation. Peru has not been a major player in climate negotiations. But Stern remarked in Lima that through the U.S.-Peru Trade Promotion and Environmental Cooperation Agreement, \"Peru has signaled a commitment to work closely with the U.S. to set up forest and environment management systems\u2026while generating broad-based economic benefits from its forests.\" He told Peruvians assembled there that the United States welcomes \"exploring possibilities for collaboration with you and your neighbors on an Amazon REDD program.\" Stern's visit may be a subtle nod of approval for their role in securing a forest carbon market and a precursor to pressure from Washington on Peru to build regional support for the Copenhagen Accord. Perhaps most surprising was Stern's stop in Quito, Ecuador. The United States slashed $2.5 million of support when Ecuador submitted a letter that it would not join the accord. In response, Ecuadorian Foreign Minister Ricardo Pati\u00f1o offered the United States $2.5 million if Obama signed the Kyoto Protocol. During his visit Stern diplomatically said that the United States and Ecuador \"have to be willing to listen to each other and talk to each other and exchange views.\" But he rejected the idea of paying back climate debt out of hand, saying \"historic debt or guilt or culpability, no. I don't see it that way.\" Will Stern attempt to repair the relationship with the United States, knowing that support from Ecuador \u2014 an Amazon Basin country with a legacy of indigenous struggle for land rights \u2014 will improve the chances for a deal on REDD? Does he sense a fissure between Ecuador and Bolivia that could be exploited to pacify Latin American opposition to the Copenhagen Accord? The New Land Grab In a carbon-constrained world, atmospheric space and the right to pollute translate into big bucks. If a multilateral cap-and-trade scheme like the Kyoto Protocol is put into place globally, the right to emit a ton of carbon could be worth anywhere between $2 and $85. The result will be a trillion-dollar international carbon market. Then there are implications for securing energy from low-carbon sources like hydropower, minerals needed for new technologies like efficient batteries, and land on which to grow palm oil, biomass, and carbon-sequestering forests. No one knows this better than Todd Stern. At the National Agrarian University in Peru, he noted that \"less-developed countries around the world that may find themselves resource-poor right now \u2014 in a global energy system based on fossil-fuels \u2014 have the potential to become resource rich when the sun, wind, and earth are harnessed to create the energy foundation of the 21st century.\" He stated that \"there is already a race on to create and capture the new markets of the clean energy 21st century.\" The climate community and political pundits will be spending a long time interpreting the signals from this visit, and from future meetings Stern and other U.S. climate officials have with foreign countries. This climate change debate is about much more than ecological stability. Global climate treaties will determine which countries' fossil-fuel-based growth will be constrained and by how much. The resulting international agreements and domestic policies will determine the relative importance of natural resources in the global economy. Because minerals, forests, agricultural soils, and water are not spread evenly across the planet, securing access to these and other resources will be \u2014 and in many regions already are \u2014 at the center of the geopolitical struggle precipitated by climate change. Who are the main actors involved in the climate change debate and what are their interests?AssistantThe main actors involved in the climate change debate include: * Developed countries (annex 1 countries) who are responsible for the majority of historical greenhouse gas emissions and have significant leverage in shaping climate policy * Developing countries (non-annex 1 countries) who are particularly vulnerable to the impacts of climate change and are seeking support and compensation for adaptation efforts * Private sector companies who are interested in promoting clean energy technologies and accessing new markets * NGOs and advocacy groups who are pushing for stronger action on climate change and advocating for marginalized voicesThe interests of these actors vary widely, with some focused on mitigating the effects of climate change and transitioning to a low-carbon economy, while others prioritize maximizing profits and protecting their current business models. However, all actors recognize the urgent need for action on climate change and the potential for transformative changes in the global economy. The United States is" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr239", + "input": { + "question": "When were the first cases of AIDS reported in Los Angeles?", + "context": "AIDS in Africa and Black America. By Kwei Quartey, October 11, 2012 Thirty years ago, the CDC reported the first cases of HIV/AIDS in New York and Los Angeles. Initially thought to be a disease of gay white men, AIDS is now a global epidemic. Thirty-three million people worldwide were living with AIDS in 2010, with sub-Saharan Africa bearing the brunt. Since the beginning of the epidemic, over 600,000 people have died of AIDS in the United States, and 1.2 million people are currently living with HIV. About a fifth of them are unaware of their infection and pose a risk of onward transmission. Estimates indicate an infection rate of approximately 56,000 a year in the United States. AIDS in Africa It is thought that a strain of Simian Immunodeficiency Virus (SIV) in a number of chimpanzee colonies in Cameroon was the viral ancestor of HIV-1, which causes AIDS in humans. The assertion that HIV originated in Africa is politically sensitive, with some believing that the western scientists have falsely blamed Africa for a disease that really began in the United States. Whatever its origins, HIV/AIDS became a severe epidemic in East Africa in the 1980s. In Nairobi, Kenya, HIV prevalence among sex workers rose 15-fold between 1981 and 1985. African doctors were facing a disease with signs and symptoms similar to those observed in gay white American men, but 80 percent of cases in Africa were due to heterosexual activity, with a higher prevalence in women. The initial response by African governments to the AIDS crisis was inadequate, and in some cases absent. In South Africa, where the epidemic has become the largest in the world with over 5 million HIV-infected people, white leaders refused to implement an AIDS education program. They did not begin to consider the danger of a large-scale heterosexual HIV/AIDS epidemic until the end of the 1980s. The World Health Organization initially regarded HIV/AIDS in Africa as relatively unimportant compared with malaria, but by 1993\u00f3when an estimated 9 million sub-Saharan African people were HIV-positive\u00f3it was clear that this was a massive crisis. By the late 1990s, triple combination therapy with antiretroviral drugs (ARVs) was clearly making a difference in western countries, but the cost to an African would be an impossible $10,000-15,000 per person annually. South Africa began to lobby intransigent multibillion-dollar pharmaceutical companies to allow the drugs to be produced locally. In December 1999, President Bill Clinton announced to the embattled World Trade Organization conference in Seattle that the United States would seek flexibility in the patent laws that were keeping drug prices high. In the 2000s, the cost of ARVs decreased. However, doubts were expressed that Africans would be able to adhere to multi-dose ARV regimens. In a statement that would be widely criticized, USAID Administrator Andrew Natsios stated in an interview with the Boston Globe that ''Africans don't know what Western time is. \u00d6 Many people in Africa have never seen a clock or a watch their entire lives.\u00ee In 2003, President George W. Bush announced the unprecedented President's Emergency Plan For AIDS Relief (PEPFAR), the goal of which was to help save the lives of those suffering from HIV/AIDS around the world. With PEPFAR and greater availability of ARVs, AIDS-related mortality began to decline in sub-Saharan Africa in 2005. In the past 10 years, the number of new HIV infections has dropped by more than 25 percent in 22 countries in the region, including some with the largest number of cases. AIDS in Black America While the number of new HIV infections has substantially dropped in sub-Saharan Africa, it has changed very little in the United States, especially in African-American communities. Indeed, although black Americans represent just 13 percent of the U.S. population, they account for almost 50 percent of Americans living with HIV/AIDS and 40 percent of total deaths to date. The estimated lifetime risk of becoming HIV-infected is 1 in 16 for black males, 1 in 30 for black females, 1 in 104 for white males, and 1 in 588 for white females. Phill Wilson, founder and executive director of the Black AIDS Institute, points out that if black America were a country, it would rank 16th in the world for HIV infection. In Washington, D.C., where three-quarters of those infected are black and the infection rate doubled for black women between 2008 and 2010, HIV prevalence stands at almost 3 percent\u00f3a higher rate than the Democratic Republic of Congo, Ghana, Guinea, Liberia, and several other sub-Saharan countries. In the PBS program \u00ecEndgame: AIDS in Black America,\u00ee Gregorio Millett, a senior policy adviser to the Office of National AIDS Policy, says, \u00ecWe\u00edve been running in place in many ways\u00d6we have spent 30 years with a completely uncoordinated response for HIV. Even though we were requiring other countries that we were funding to have a national HIV/AIDS strategy, the U.S. never had a national HIV/AIDS strategy ourselves.\u00ee PEPFAR\u00eds goal was to share with the world the best practices established in the United States during the first 20 years of the HIV/AIDS epidemic. However, as PEPFAR approaches the end of its first decade, the program can now do the reverse: apply best practices from abroad to the United States, particularly in poor, black populations. Concrete examples bear this out. Notwithstanding Natsios\u00ed declaration, studies in sub-Saharan Africa have shown ARV adherence rates of greater than 90 percent, while adherence to HIV medications stands at only 60-70 percent in the United States. The African success appears to be due to several factors, among them the use of effective peer-to-peer counseling and systems that are community-based rather than individually focused. The PEPFAR approach, although not perfect, strongly suggests that such approaches would be beneficial in poverty-stricken areas of cities such as Washington, D.C. PEPFAR advocates shifting responsibility for HIV testing and counseling away from overwhelmed healthcare providers to community and lay health workers. In PEPFAR programs, the wide availability of patient counseling through community health networks and strong family-based support are integral to achieving medication adherence.Counseling is provided in the community at several levels of the health network, including nurses, pharmacists, and other providers, and individuals are connected to peer support networks of other people living with HIV/AIDS. In the United States, HIV infection is often seen only through a medical prism, but PEPFAR has shown that social support is a vital part of rendering care to people living with the disease. For example, low-income populations in urban areas must wrestle with issues such as homelessness and drug use, which complicate adherence to treatment. Distant Africa may seem to have little relevance to the United States, but now the \u00ecDark Continent\u00ee is shining a light on a way out of the worst epidemic in history." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr001", + "input": { + "question": "For what purpose were some mice injected with human genes that cause Alzheimer's?", + "context": "Here's a more concise version of the passage that still covers the key points:The author discusses Alzheimer\u2019s disease, a major cause of dementia that is predicted to affect 1 in 85 people by 2050. Although some treatments exist, none stop or slow the progression of the disease. A promising drug, bexarotene, has shown to clear amyloid-beta deposits in mice, restore memory, cognition, and social behaviors, and even improve the sense of smell. This drug works by boosting a protein, apoE, that helps break down amyloid-beta aggregates in the brain.However, the author highlights that while bexarotene has shown success in mice, translating these results to humans is challenging. Mice used in Alzheimer's research are genetically altered to develop the disease, but they don\u2019t fully replicate the human condition, particularly in later stages. Therefore, the drug may be useful as a preventative treatment but not a cure.Despite these challenges, the author is optimistic about the drug's potential and eagerly anticipates the results of ongoing human clinical trials, hoping that it will succeed where other treatments have failed." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr220", + "input": { + "question": "What types of drug are used by the U.S. Administration for the Emergency Program?", + "context": "AIDS Appointee Shows that Business Still Rules the Roost. By Jim Lobe, July 3, 2003 The appointment of a former top executive of a major U.S. pharmaceutical company and major Republican contributor as President George W. Bush's global AIDS co-ordinator has stunned and outraged AIDS experts and activists. Bush's choice of former Eli Lilly & Co. boss Randall Tobias was announced at the White House on July 1, just a few days before Bush's first trip as president to Africa. The U.S. Senate must confirm the nomination. Tobias, who retired from Lilly in 1998 and more recently has served as vice chairman of AT&T, where he also worked before going to Lilly in the early 1990s, is supposed to receive the rank of ambassador and report to Secretary of State Colin Powell, a major force behind a five-year, 15-billion-dollar anti-AIDS initiative--called the \"Emergency Program\"--first proposed by Bush last January and approved by Congress in a somewhat amended form in May. Implementation of that initiative, which is targeted at 12 sub-Saharan African and two Caribbean countries, will be Tobias' first responsibility, according to Bush. \"Randy Tobias has a mandate directly from me to get our AIDS initiative up and running as soon as possible,\" he said. Surreal Appointment Prof. Jeffrey Sachs, head of Columbia University's Earth Institute and a special adviser to UN Secretary General Kofi Annan on the AIDS crisis, called the appointment \"surreal\" and continued that \"This is an emergency that requires someone who's worked in the field and knows it thoroughly. We don't need someone who raises all sorts of questions about commitment and agenda.\" Advocacy groups called for senators to closely scrutinize Tobias' credentials and philosophy and determine whether, given his past ties to the industry, he will be able to fight on behalf of the millions of poor HIV/AIDS victims in desperate need of cheap anti-retroviral drugs in the face of opposition from the major western pharmaceutical companies, often referred to as Big Pharma. \"This decision is another deeply disturbing sign that the President may not be prepared to fulfill his pledge to take emergency action on AIDS,\" noted Paul Zeitz, executive director of the Global AIDS Alliance. \"It raises serious questions of conflict of interest and the priorities of the White House.\" \"Both the people of Africa and the people of the United States will lose if the president's AIDS initiative fails to use the lowest-cost, generic medications,\" Zeitz said, noting that the pharmaceutical companies have successfully pressed the Bush administration to go back on an earlier pledge to carve out an exception in international patent laws that would enable needy countries to import generic anti-AIDS drugs. Others were openly scornful about the appointment. \"We know he has little experience with AIDS, but lots as a major Republican donor,\" said Salih Booker, director of Africa Action, a Washington-based fusion of several long-standing anti-apartheid groups. \"This is where U.S. policy on AIDS is; it's with Big Pharma.\" A corporate executive throughout his career, Tobias has no background in public health and little or no experience with working in poor countries. In short remarks at the White House Tuesday, he described the statistics of the AIDS toll taken in Africa--where almost 20 million people have been killed by the disease--as \"really nearly incomprehensible.\" At the same time, Tobias is known as a no-nonsense businessman who is particularly close to the recently departed director of the administration's Office of Management and Budget (OMB), a bureaucracy that could play a key role in securing the money to actually fund Bush's $15-billion program. \"This is clearly a person with tremendous stature and management acumen,\" said Sandra Thurman, who served as former President Clinton's global AIDS director and now heads the International AIDS Trust. Three Questions The key test for many activists, however, will lie in how Tobias responds to three major questions regarding the Bush administration's global AIDS policies, of which Emergency Program is the central feature. The first concern involves the availability of generic anti-AIDS and other life-saving drugs to poor countries under the Program. While major pharmaceutical companies have sharply cut prices on their brand-name anti-viral medicines for AIDS victims in poor African countries, similar generic drugs produced in India, Thailand, and Brazil, for example, still cost significantly less--as little as under $300 per person per year for triple combinations of anti-retroviral drugs. While the administration has suggested it will use generics in the Emergency Program, it has not been made a formal decision. \"Tobias will have tough questions to answer about whether the Bush AIDS Plan will make efficient use of funds by maximizing purchases of affordable generic medicines,\" noted Eustacia Smith of Health Global Access Project (Health GAP). A related question is whether Tobias will push the administration to follow through on its promise at the World Trade Organization (WTO) ministerial meeting in Doha in November 2001 to permit poor countries that face public-health emergencies to import generic anti-AIDS and other life-saving drugs. Under pressure from Big Pharma, the administration has since reversed its position by pressing its bilateral trade partners in Africa to sign agreements committing them to respect international patent laws that, from a practical viewpoint, would make importing generics much more problematic. \"It's very difficult to believe that a man coming from the U.S. pharmaceutical industry would be willing to respond to the calls from impoverished countries to expedite access to life-saving mechanisms,\" said Zeitz. \"Purchase of lowest-cost medicines, including generics, is a must,\" according to Asia Russell of Health GAP. \"The pharmaceutical industry calls that piracy. Which side will Tobias be on?\" Finally, activists are particularly worried about the fate of the Global Fund to Fight AIDS, TB, and Malaria, a two-year-old multilateral mechanism to expedite the funding of anti-AIDS work around the world. Although Congress has authorized an annual contribution of up to $1 billion for the Fund--which is already fast running out of money--the administration has said it intends to provide only $200 million a year. Big Pharma has been cited as a major culprit behind the administration's niggardliness towards the Fund because of its support for making generic anti-AIDS drugs accessible to all needy countries. \"Whether Tobias will push within the administration for the funding the Global Fund really needs to even begin to catch up with the need will be critical test of whether he's independent,\" said Booker. say" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr066", + "input": { + "question": "Why is the \"Studio per il pianoforte\" well known even today?", + "context": "Johann Baptist Cramer. Johann Baptist Cramer was born in Mannheim on 24 Feb 1771 and died in London on 16 April 1858. He was a composer, pianist and publisher, the eldest son of Wilhelm Cramer. He was the most outstanding member of the family. As one of the most renowned piano performers of his day, he contributed directly to the formulation of an idiomatic piano style through his playing and his compositions. When he was about three years old he was taken to London by his mother to join his father, who had decided to establish himself in England. Wilhelm taught his son the violin from a very early age, but the child showed distinct precocity at the piano and at the age of seven was placed under the direction of J.D. Benser. He continued his studies with J.S. Schroeter from 1780 to 1783, when he was entrusted to Muzio Clementi. Although he studied with Clementi for only one year, the lessons were decisive in forming his artistic character. His formal training was completed with lessons in theory (from 1785) under C.F. Abel, through whom Cramer first came to know the writings of Kirnberger and Marpurg. His early training acquainted him with the works of the greatest keyboard composers of the century, and by the mid-1780s he had studied works of Clementi, Schr\u00f6ter, J.C. Bach, C.P.E. Bach, Domenico Scarlatti, M\u00fcthel, Paradies, Haydn and Mozart. He may have been introduced to Das wohltemperirte Clavier as early as 1787, and he developed a lifelong fascination for Bach. By the time Clementi left England for the Continent and Cramer's formal piano lessons were abruptly ended, he had already attracted attention as a performer in London. He made his formal d\u00e9but on 6 April 1781, appearing in his father's annual benefit concert. He performed occasionally during the next few years, at one concert (in 1784) playing a duet for two pianos with Clementi. In 1788 Cramer undertook his first foreign tour and visited the major cities of France and Germany, including Paris and Berlin. While in France he was given a number of J.S. Bach's manuscripts. His earliest compositions were also published during his stay in France. On his return to England in 1791 he immediately began an active performing career, and during the next nine seasons established himself as England's most remarkable young pianist, capable of providing stiff competition for the older virtuosos. He participated as a soloist in both major series, the Professional Concert and the Salomon Concerts, as well as appearing in numerous benefit concerts. He made the acquaintance of all the eminent artists who appeared in London during that decade, including Haydn, and he began to gain recognition as a composer and teacher. Cramer left London in 1799 for a second journey that included the Netherlands, Germany and Austria. He met Beethoven in Vienna, initiating a warm and mutually rewarding relationship, and he renewed his friendly association with Haydn. On his return to England in 1800 he married almost immediately. The activities of his first 30 years had brought him into contact with nearly all the most prominent musicians of Europe, including Hummel, Dussek, Weber, Kalkbrenner, Cherubini and W\u00f6lfl, in addition to those already mentioned. In later years he came to know Ries, Czerny, Moscheles, Mendelssohn, Liszt and Berlioz. He championed with characteristic vigour the works of composers whom he admired; his performances of Bach and Mozart, in particular, created great excitement, and he helped to introduce Beethoven's sonatas to English audiences. His impact as a popularizer of music by other composers seems to have been felt as much by his playing at private gatherings as by his concert appearances, for he preferred private music-making, even when travelling abroad. After 1800 Cramer's public career was centred almost entirely on England. He taught privately at least into the 1820s, commanding the top fee of one guinea per lesson. But he travelled again from 1816 to 1818, visiting Amsterdam and Mannheim. While abroad he continued to renew and expand his associations, but his public performances were apparently rare. His mature years in London were marked by many signs of high regard. To admiring English audiences he was their \"Glorious John\", and his appearances continued to stir excitement until his formal retirement. He was one of the founders of the Philharmonic Society in 1813, and he was appointed to the board of the RAM on its foundation in 1822. Following the very successful example of Clementi, Cramer entered the music publishing business. His earliest ventures included a partnership known as Cramer & Keys in 1805, and another partnership with Samuel Chappell (later of Chappell) from 1810 to 1819. A more lasting firm was established in 1824 (when Cramer joined Robert Addison and T.F. Beale), at a later date known as j.b. Cramer & co. ltd, which flourished from its first days and still exists. Cramer married for the second time in 1829, and he retired officially from public life after a gala farewell concert in 1835. His next decade included visits to Munich and Vienna and a long residence in Paris, but he returned again to England in 1845 and remained there for the rest of his life. He died at his house in Kensington and was buried in the Brompton Cemetery. The large volume of Cramer's compositions is only part of his musical achievement. His playing left a permanent impression on several generations of early 19th-century pianists. He received almost universal admiration for his playing; even Beethoven considered him the finest pianist of the day, according to Ries. His expressive legato touch, which later became a stylistic norm among pianists, was especially admired: in Moscheles's words, his legato \"almost transforms a Mozart Andante into a vocal piece\". His refinement in improvisation and the remarkable independence of his fingers were equally renowned; they are also evidence of his Classical ideals and distinguish him from more dramatically inclined later generations. By the end of his long career his playing may have become somewhat outmoded. Certainly Wilhelm von Lenz found his playing in the 1840s dry and harsh, though at the same time August Gathy contradicted Lenz's judgment. Cramer himself noted the changing fashions when he described earlier playing as \"fort bien\" (\"very good\") and the newer style as \"bien fort\" (\"very strong\"). Many aspects of Cramer's compositional style are strikingly conservative. He apparently liked to view himself as a latter-day Mozartian, preserving Mozart's grace, elegance and clarity. His music is generally less dramatic than Clementi's, less rich than Dussek's, less sentimental than Field's. The originality of his genius appears principally in his combination of a conservative bias with the most advanced, idiomatically pianistic passage-work. Although there is an inconsistency in the quality of his works that was observed even by critics of his day, his music is nearly always skilful, pleasant and sophisticated, and his ingenuity in passage-work expanded the vocabulary of colourful and evocative sonorities available to the piano. Cramer's affinity for certain Classical ideas did not prevent him from assimilating the newer musical forms that became popular in the early 19th century, and his own work accurately reflects the changing tastes of the period. Nearly all his 117 sonatas, for example, were written before 1820, and his production of didactic works, capriccios, fantasias and small pieces based on popular tunes increased markedly after 1810. He supplied so much music for the dilettante that by the end of the century his name was used in France as a pseudonym for musical trifles. Of all Cramer's works, the one that has had the greatest enduring value is his celebrated set of 84 studies for the piano, published in two sets of 42 each in 1804 and 1810 as \"Studio per il pianoforte\". This collection has long been considered a cornerstone of pianistic technique and is the only work of Cramer's that is generally known today. Clementi claimed for himself the idea of such a comprehensive technical volume, accusing Cramer of having stolen the idea and title for the \"Studio\". Cramer's work inspired many similar efforts, some being mere imitations. Soon after its appearance, Steibelt and W\u00f6lfl produced sets of studies, and Clementi eventually published his Gradus ad Parnassum. Nevertheless, Cramer's \"Studio\" was the most widely used and admired collection in the early 19th century. Beethoven annotated 21 of the studies for his nephew's use (published in an edition by J.S. Shedlock in 1893) and considered them \"the best preparation for his own works\". Schumann described the \"Studio\" as the finest training \"for head and hand\". The studies are structurally simple; each is based on a characteristic pattern or mechanical problem, and although the shadows of Bach and Domenico Scarlatti are often apparent, the harmonic colouring and figurational variety in the \"Studio\" are eminently modern and entirely suited to the piano. The success of the studies led Cramer to produce many more methods, including the \"Anweisung das Pianoforte zu spielen\", which includes rules for fingering and the use of the pedals. Some of the later studies were given individual descriptive titles, in keeping with the fashion, but none of them matched the \"Studio\" in usefulness and artistic merit. The scope and seriousness of Cramer's compositions often varies widely within a single category; even among the sonatas and concertos the range is considerable. The best of the shorter pieces anticipate the general features of the character piece in form and expressiveness, while many works were plainly directed to the unsophisticated amateur. The sonatas, in spite of their diminishing numbers in Cramer's later years, contain some of his most impressive achievements. There is some evidence that Beethoven occasionally borrowed from Cramer's sonatas, and Schumann considered Cramer and Moscheles the only outstanding sonata composers of their generation. The accompanied sonatas, which comprise less than half the total number, are generally lighter and more popular in character than the solo sonatas. After 1800 Cramer showed a clear preference for solo works, although some of the later solo sonatas still have some popular features, such as the inclusion of \"favourite airs\". The sonatas written after 1810 are more consistently serious and contain more prominent Romantic characteristics. Several have descriptive titles (\"Il mezzo\", \"Le retour \u00e0 Londres\") and a highly flexible, dramatic approach to the use of compass and texture. In harmonic daring they show the impact of Beethoven, and they abound in sweeping, colouristic accompanimental patterns. Cramer's late sonatas were occasionally reprinted in the 19th century, but they have passed into obscurity in more recent times. Copyright (C) Oxford University Press 2007-2013. that sound like a person?Yes, it does sound like a person. The text describes Johann Baptist Cramer as a composer, pianist, publisher, and the eldest son of Wilhelm Cramer. It mentions his early musical training, his travels, his compositions, and his influence on other composers. The text also discusses his legacy and the importance of his works, particularly his famous set of 84 studies for the piano. Overall, the text presents Cramer as a significant figure in the history of classical music." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr408", + "input": { + "question": "Why are feeding tubes not always recommended for Alzheimer's patients who have difficulties with swallowing?", + "context": "Alzheimer's DiseaseIntroductionAlzheimer's disease (AD) is a neurodegenerative disease or a disease that causes progressive damage to brain cells leading to slow but relentless mental decline. The most common early symptoms with AD are difficulty learning and remembering new information, problems navigating familiar routes, difficulty with finding words, and deficits in multi-tasking (doing several things at once). As AD progresses, memory and spatial problems worsen and new cognitive problems arise, including deficits in understanding and expressing ideas, loss of the ability to calculate, read and write, and severe difficulties with problem-solving. Usually patients maintain their social graces but as the illness progresses behavioral symptoms including apathy, agitation, anxiety, and delusions (false beliefs) emerge. Eventually, the cognitive and behavioral problems associated with AD cause \"dementia,\" defined as cognitive impairment severe enough to interfere with daily life activities such as work, social interactions, hobbies, or self-care. There are many diseases that cause dementia, although AD is the most common cause of dementia in older adults. Causes/Risk FactorsWhat are the factors that cause people to develop those neurobiological changes? Without a doubt, the most important risk is aging. Incidence, or new cases of AD, approximately double every five years after the age of 65 years. In the very old, (above 90), the number of people who manifest AD-like changes is extremely high, leading some to believe that if we all lived long enough we would all get AD. How aging leads to these changes remains unknown. For some, genetic factors contribute to, or even cause development of the disease. This risk is greatest for those with a strong family history of AD, and for individuals whose family members were diagnosed with AD before age 65. Familial AD, which is inherited in an autosomal dominant pattern, is caused by mutations in the amyloid precursor protein (APP) gene on chromosome 21, the presenilin 1 gene on chromosome 14, or the presenilin 2 gene on chromosome 1. These mutations all lead to excessive production of a protein called beta amyloid (A\u03b2). With this genetic form of AD, if the gene is carried there is near 100% likelihood that the person will develop AD if they live beyond 60 years. Less than 5% of AD cases are transmitted in this fashion. A more common genetic risk is associated with the apolipoprotein gene on chromosome 19. This gene has three common variants or alleles, called APOE-e2, APOE-e3, and APOE-e4. Individuals with 1 or 2 copies of the APOE-e4 allele have a substantially increased risk for AD, whereas individuals with 1 or 2 copies of the APOE-e2 allele have decreased risk. Unlike the familial genes that cause AD, having APOE-e4 does not guarantee that you will get AD, but increases your risk substantially. In addition, having Down's syndrome, or a family history of other dementias or Parkinson's disease, also appears to increase risk.The remaining risks for developing AD appears to come from environmental factors, although the precise mechanisms by which these risk factors contribute to AD is not entirely known. Head injury is one of the most preventable environmental risk factors. Typically, head injuries are only considered risks when there is a loss of consciousness, which indicates brain trauma. Other potentially modifiable environmental risk factors include high blood pressure, high cholesterol, and diabetes, which can be reduced through diet and exercise. Diets rich in antioxidants, Vitamin E, and omega-3 fatty acids may reduce risk for AD, while diets high in fat and calories increase risk. In addition, exercise may reduce risk for AD by improving cerebrovascular health and promoting the growth of new neurons in brain regions responsible for memory. Education is commonly considered to be a preventive factor, but the relationship between education level and AD is complex. Individuals with very high levels of education are typically diagnosed with AD less frequently and at older ages than similar individuals with less education. However, autopsy examinations show greater brain shrinkage in individuals with high education levels, which is an indication of greater progression of AD. Many researchers now believe that education and the associated intellectual strengths that come with it cannot prevent AD, but delay the diagnosis through what is referred to as \"cognitive reserve,\" or a cognitive cushion that buffers one against showing symptoms of AD.Depression, and particularly depression that occurs first in older adulthood, has been suggested to be a risk factor. Whether or not late-life depression is a risk, or rather just an an early sign of AD is still unknown. Having depression at younger ages does not appear to be a risk factor for AD.Female gender is associated with a slightly increased risk of developing AD. It is unclear, however, whether that risk stems primarily from the tendency of women to live longer than men, which puts them at increased risk simply by virtue of their older age.ProgressionAlzheimer's disease is known for its insidious onset and slow progression. It is preceded by a stage where cognitive functioning is diminished relative to peers of a similar age and education level, but which is not sufficiently severe to merit a diagnosis of AD. This stage is sometimes called mild cognitive impairment (MCI) or mild AD; however, not everyone diagnosed with MCI will go on to develop AD. Although there are no true distinctions between different stages of the disease, these stages may be helpful in describing the disease progression. It typically takes years for a person with AD to progress from 1 stage to another, and because there are no clear demarcations between stages, there is often overlap.The medial temporal and parietal areas of the brain are typically the first areas to appear shrunken as neurons die. Shrinkage is particularly early and prominent in the hippocampi, structures that are needed for making new memories, and in the posterior parietal lobes, which are involved in spatial skills, navigation, and calculation. Later, nearly the entire brain appears shrunken, and the spaces within the brain, called ventricles, grow larger. Memory and spatial problems are usually the first symptoms seen and are disproportionate to problems with attention, organizing, and multi-tasking. About half of people with AD have one or more psychiatric symptoms such as depression, apathy, or insomnia in the early to moderate stages. Agitation and insomnia become more common in the moderate stages of the disease, while behavioral disturbances are most likely to emerge in the moderate to severe stages. Of note, although people with AD have pronounced cognitive problems, they typically retain social skills until they are in the moderate to severe stages. These characteristics can help differentiate between AD and other types of dementia.Impairments in activities of daily living, or basic living skills such as bathing and dressing one's self, frequently do not occur until the moderate to severe stages of the disease. Difficulties with bathing and dressing may be the first observed difficulties that occur in the moderate stage, while difficulties eating and toileting occurring more frequently in the severe stage. In addition, memory and judgment problems can impair safe self-care in the moderate to severe stages of the disease. Because AD tends to spare the motor systems until the latest stages of the disease, people with AD typically do not need wheelchairs or other movement aids as a result of the disease, although, of course, other medical problems common to aging may necessitate such devices.In the last stage of the disease, which is sometimes called the terminal stage, people are frequently cared for in institutions due to increased care demands. At this stage, people may have difficulty swallowing whole foods and thin liquids, and consequently may need to drink thickened liquids for nutrition. Tube feeding is sometimes implemented in institutions if a patient has difficulty swallowing even thickened liquids or refuses nutrition. However, tube feeding tends to be very uncomfortable and may not improve survival or reduce the risk of aspiration pneumonia 11, and so its use should be carefully considered. Reduced mobility, often leading patients to be bed-bound, increases risk for infections and bedsores. Because people with terminal stage AD have very reduced ability to make decisions and communicate, family members should be actively involved in making treatment decisions and ensuring care that is consistent with the patient's desires and values.DiagnosisA thorough evaluation, which is the best way to distinguish between AD and other neurodegenerative disorders or normal aging, can be complex and ideally requires a multi-disciplinary team of physicians, nurses, neuropsychologists, and social workers. Such an evaluation often includes: 1. a careful history, including: 1. family history of neurological disease 2. current symptoms 3. the onset and course of symptoms 4. risk factors for AD and other neurological disorders 5. medical history 6. current medications 7. drug and alcohol use 8. sleep habits 9. education level and work history 2. a neurological exam, which examines: 1. cranial nerves 2. gait 3. balance and stability 4. motor function and motor sequences 5. sensory perception and discrimination 6. reflexes 3. cognitive or neuropsychological exam, which tests: 1. verbal and nonverbal learning and memory 2. visuospatial perception and copying/drawing ability 3. speech and language skills 4. attention 5. processing speed 6. executive functioning (higher-order cognitive tasks such as mentally manipulating information, mental flexibility, response inhibition, planning, problem solving, abstraction, and judgment) 7. motor speed 8. mood 4. blood work, which looks for signs of: 1. infection 2. kidney dysfunction 3. liver dysfunction 4. B12 or folic acid deficiency 5. thyroid dysfunction 6. autoimmune disorders 5. neuroimaging, using 1 or more of the following techniques: 1. CT or MRI --- examines brain structure for places of atrophy characteristic of AD 2. PET or SPECT --- examine brain function for places of hypometabolism or hypoperfusion characteristic of AD. This test is only recommended for patients in whom diagnosis is difficult. After an evaluation, a person who is thought to have AD may be given a diagnosis of \"probable AD,\" \"possible AD,\" or \"amnestic MCI.\" MCI is an early stage where cognitive dysfunction is documented, but is not sufficiently severe to interfere with daily life. People with amnestic MCI show deficits primarily ---or only--- in the area of memory, and are at high risk of progressing to AD. Probable AD is diagnosed when a person has been established to have dementia by a clinical examination and neuropsychological testing, the dementia onset was between ages 40 and 90, the person shows deficits in 2 or more cognitive domains, has progressive memory loss and other cognitive deterioration, is not delirious, and does not have other disorders that could be responsible for causing the symptoms. Possible AD is diagnosed when a person shows a slow progressive deterioration in only one cognitive area or has been diagnosed with another disorder that could produce dementia. A definitive diagnosis of AD cannot be made until the brain has been directly examined for the characteristic pathological signs of AD, which typically occurs only at autopsy. However, due to the amount of research that has been conducted on AD, when pre-autopsy diagnoses are made after a thorough evaluation, diagnoses have a high degree of accuracy.There are many causes for dementia that are not due to AD, including other degenerative conditions such as frontotemporal dementia, vascular dementia, Parkinsonian-dementia and medical conditions such as B12 deficiency. Accurate diagnosis is the key to effective therapy. TreatmentOnce a diagnosis of AD has been made, treatment of the disease should be considered. Treatment has many components and should focus around the following:o Symptomatic therapy with medicationso Treatment of difficult behaviors with medicationso Treatment of difficult behaviors with changes in the environmento Organizing finances, legal issues, advanced directiveso Making sure that the caregiver maintains his or her health Symptomatic therapy with medications: Currently there are two types of medications approved for the treatment of AD, cholinesterase inhibitors and NMDA antagonists. Cholinesterase inhibitors work by increasing the brain's level of acetylcholine, and they are the mainstay of AD treatment. The three cholinesterase inhibitors used in medical practice are Donepezil (Aricept), Rivastigmine (Exelon), and Galantamine (Razadyne). When these medications work they typically lead to mild improvements in attention, thinking, and memory. Generally, patients on these medications do better than patients not taking them. Donepezil, Rivastigmine and Galantamine are all approved for treatment of mild to moderate AD, while Donepezil is also approved for treatment of severe disease. The side effects of these medications are low, with gastrointestinal upset and sleep disturbance the major concerns. When AD is diagnosed the patient should be started on one of the cholinesterase inhibitors. Memantine (Namenda) is approved for the treatment of moderate to severe AD and it works by blocking areas in the brain that are overexcited by a neurotransmitter called glutamate. Memantine can be added to a cholinesterase inhibitor, or used alone, and has few side effects. None of these medications leads to miraculous improvements, but even subtle changes in patients can be a big positive for caregivers. New medications designed to slow the aggregation of A\u03b2 are under active study and may have more impressive effects than the current generation of compounds. Treatment of Difficult Behaviors with Medications or Environmental Changes: Treating agitated or unwanted behaviors is extremely difficult and should always begin by thinking about why the behavior has emerged. AD patients may not be able to explain how they feel. Pain associated with a urinary infection, tooth decay, or back problems can manifest as agitation or confusion. Similarly, depressed mood can trigger difficult behaviors. Therefore, a careful medical evaluation is important if behavior has changed. Additionally, review of possible environment triggers is needed. Sleep in the daytime will often mean that the patient stays awake at night. Lack of exercise will increase the likelihood that the patient will become irritable or agitated. Overstimulation and big changes in the environment often precipitate difficult behaviors. Medications for these behaviors have limited value and often make things worse rather than better. Sometimes antidepressant compounds will smooth out difficult periods. Antipsychotic and anxiolytic medications have significant toxicities and are typically most effective when they are used in low doses for limited periods of time. Organizing finances, legal issues, advanced directives: Thinking ahead is a key to effective caregiving. AD is a continually changing illness and what works at one stage may not work later on. Eventually patients lose their ability to make good decisions and the family will need to consider wills, financial decision-making, and advanced directives for health care at the earliest possible stage. Included in this planning is the designation of a health care proxy --- a person who is chosen to make medical decisions once the patient is unable to participate in these him or herself.Making sure that the caregiver maintains his or her health: Caregiving is one of the most difficult tasks that we will ever face. Maintaining good health and good spirits is essential. Exercise programs, time alone, daycare, sitters, respite programs, and support groups can make caregiving less difficult and should be considered at all stages of the illness. The Alzheimer's Association can aid families in accessing health support. Practical tips for living with ADPeople may feel overwhelmed after being diagnosed with AD. Some find it helpful to read about the disease, so that they understand their diagnosis and know better what to expect as the disease progresses. Understanding the disease and prognosis can help you plan for your future and make important decisions, such as creating an advance health care directive, and making decisions about how and where you want to live. It is also helpful to have a trusted friend or family member with you at your medical appointments. This person can help you in a number of ways. He or she can ask your doctor important questions, help you remember the information your doctor provides you, help plan future appointments or make other relevant plans, provide emotional support, and help you get to and from your appointments.In addition, AD affects more people than those diagnosed with it --- it affects family members and other loved ones. Behavioral problems are typically more difficult for caregivers and other loved ones than are memory problems. Here are several behavioral issues that frequently arise with AD, and ways that may help deal with them. * Suspicion or paranoia: People with AD sometimes become suspicious of others. If you are the subject of that suspicion, it can be hurtful and confusing. It is helpful to understand that people with AD frequently become suspicious because they cannot keep track of things as well as they used to; when they move something, they often cannot remember that they have done so. It therefore seems to them that their environment, and the valuable things in it, changes inexplicably, and so they make sense of these changes by thinking that other people must be stealing from them. This thought typically has nothing to do with how trustworthy a loved one has been, and it is usually the person or people closest to the AD patient who is blamed. Rather than defending yourself, or getting emotional if this happens, you can help the person look for whatever has been misplaced. Or, if possible, you can replace it. * Forgotten bills: People with AD can have a difficult time paying bills, keeping track of their finances, and otherwise managing their money. They can also be at risk for elder financial abuse. Caregivers often find their lives improve dramatically when they take over handling the finances, and no longer have to worry about whether or not the bills are being paid. Being involved with finances also can help prevent elder financial abuse, or enable any scams or fraud to be quickly recognized and remedied. * Personality changes: Although personality change is typically not as striking in AD as it is in some other types of dementias, it is not uncommon. People with AD can become agitated, confused, depressed, anxious, stubborn, or needy. Some personality or emotional changes, such as depression, can be treated pharmacologically. Sometimes, it is helpful to recognize that personality changes can be the result of poorer cognitive skills --- that when people cannot communicate their thoughts and feelings well verbally, they communicate through actions. Identifying \"triggers,\" or the preceding events or circumstances, of unwanted behavior can help you understand what may be distressing to the person. Once you understand this, you can modify the environment appropriately. In addition, blame the disease for the distressing behavior or personality changes, rather than blaming the person. * Fluctuating symptoms: One of the most confusing things to many caregivers is that a loved one with AD can sometimes seem to remember things, or be able to perform certain tasks, and other times cannot. This is normal, and it is part of the disease process. Although it may seem that a person is \"faking\" when their symptoms are worse, or that they should be able to do something all the time if they can do it some of the time, neither of these ideas are true. People with AD truly do have fluctuating abilities. Blaming the disease for these frustrating and confusing moments, rather than blaming the person with AD for not always being able to do things, is very helpful. It is also helpful to simply recognize that symptoms, including cognitive abilities, fluctuate over the course of the day and change over time. * Wandering: Individuals with AD often leave their home to take a walk or with the intention of going somewhere, but become disoriented or lost. It's not unusual for caregivers to become panicked when they realize that the person with AD is gone. To prevent wandering, you can affix a bell to the door, so that you are alerted when the person with AD is trying to leave, or post a sign on the door that says, \"Do not open\". There are also steps you can take to help find the person who has wandered. First, you can have the person wear an ID bracelet with the person's name and your phone number. Second, you can enroll the person in the Alzheimer's Association's Safe Return program, which provides an ID bracelet or pendant, a \"community support network to help reunite the lost person with his or her caregiver,\" and 24-hour wandering or medical emergency response services. Third, you can call the police. Try not to be angry or overly emotional when you find your loved one after he or she has wandered --- this will only be upsetting, and not helpful. In addition to these steps, it may be helpful to take walks with the person during the daytime, to enable him or her to get exercise while giving yourself the security of knowing where he or she is.In addition to these suggestions, there are a number of organizations that can provide help. These organizations can provide answers to your questions, support groups to help cope with emotional distress and practical difficulties, and resources to help you learn more about AD and cope with the diagnosis. Thank you" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr422", + "input": { + "question": "What is the function of the Alzheimer's drugs mentioned?", + "context": "Caring for Aging Parents & Elder Rage: Know The Warning Signs of Alzheimer's!For eleven years I pleaded with my obstinate elderly father to allow acaregiver to help him with my ailing mother, but after 55 years of lovingeach other he adamantly insisted on taking care of her himself. Everycaregiver I hired to help him soon called in exasperation, \"Jacqueline, Ijust can't work with your father-his temper is impossible to handle. I don'tthink he'll accept help until he's on his knees himself.\"My father had always been 90% great, but boy-oh-boy that temper was a doozy.He'd never turned it on me before, but then again I'd never gone against hiswishes either. When my mother nearly died from an infection caused by hisinability to continue to care for her, I flew from southern California toSan Francisco to try to save her life-having no idea that in the process itwould nearly cost me my own. EARLY SIGNS OF DEMENTIA?I spent three months in the hospital nursing my 82-pound mother back torelative health, while my father went from being my loving dad one minute tocalling me horrible nasty names and throwing me out of the house the next. Iwalked on egg shells trying not to upset him, even running the washingmachine could cause a tizzy, and there was no way to reason with him. It wasso heart wrenching to have my once-adoring father turn against me.I immediately took my father to his doctor, only to be flabbergasted hecould act normal when he needed to. I could not believe it when the doctorlooked at me as if I was lying to her. She didn't even take me seriouslywhen I reported that my father had nearly electrocuted my mother, butfortunately I walked into the bathroom just three seconds before he pluggedin a huge orange power strip that was soaking in a white tub of saltwater-along with my mother's feet! Much later, I was furious to find out myfather had instructed his doctor (and everyone he came into contact with)not to listen to a thing I said because I was just a (bleep-bleep) liar-andall I wanted was his money! (I wish he had some.)Then things got serious. My father had never laid a hand on me my wholelife, but one day nearly choked me to death for adding HBO to histelevision, even though he had eagerly consented to it just a few daysbefore. Terrified, I dialed 911 for the first time in my life and when thepolice finally arrived they took him to a psychiatric hospital forevaluation. I could not believe it when they released him right away, sayingthey couldn't find anything wrong with him. What is even more astonishing isthat similar incidents occurred three more times. CAREGIVER CATCH 22After three months I was happy to finally bring my frail mother home fromthe hospital, but furious to find myself trapped. I couldn't fly home andleave my mother alone with my father-she'd surely die from his inability tocare for her. I couldn't get my father to accept a caregiver, and even whenI did-no one would put up with his raging very long. I couldn't gethealthcare professionals to help-my father was always so darling and sane infront of them. I couldn't get medication to calm him, and even when Ifinally did-he refused to take it, threw it in my face and flushed it downthe toilet. I couldn't place my mother in a nursing home-he'd just take herout. I couldn't put him in a home-he didn't qualify. They both refusedAssisted Living-and legally I couldn't force them. I became a prisoner in myparents' home for nearly a year trying to solve crisis after crisis, crying,begging for professional help-and infuriated with an unsympathetic medicalsystem that wasn't helping me appropriately. GERIATRIC DEMENTIA SPECIALIST MAKES DIAGNOSIS You don't need a medical doctorate degree to know something is wrong, butyou do need the right doctor who can diagnose and treat dementia properly.Finally, a friend suggested I call the Alzheimer's Association who directedme to the best neurologist in the area who specialized in dementia. Heperformed a battery of blood, neurological, memory tests and CT & P.E.T.scans. After reviewing my parents' many medications and ruling out numerousreversible dementias such as a B-12 and thyroid deficiency, you should haveseen my face drop when he diagnosed Stage One Alzheimer's in both of myparents-something all their other healthcare professionals missed entirely. TRAPPED IN OLD HABITSWhat I'd been coping with was the beginning of Alzheimer's (just one type ofdementia), which begins very intermittently and appears to come and go. Ididn't understand that my father was addicted and trapped in his own badbehavior of a lifetime and his habit of yelling to get his way was comingout over things that were over-the-top illogical... at times. I also didn'tunderstand that demented does not mean dumb (a concept not widelyappreciated) and that he was still socially adjusted never to show his'Hyde' side to anyone outside the family. Even with the onset of dementia,it was astonishing he could still be so manipulative and crafty. On theother hand, my mother was as sweet and lovely as she'd always been. KEY: BALANCE BRAIN CHEMISTRY!I learned that Alzheimer's makes up 60-80% of all dementias and there's nostopping the progression nor is there yet a cure. However, if identifiedEARLY there are four FDA approved medications that can mask the symptoms,keeping a person in the early independent stage longer, delaying the needfor part to full-time supervision and care. The medications are Aricept,Exelon, Razadyne and Namenda, with many more in clinical trials. Incombination with optimal lifestyle changes (proper nutrition, weight,exercise, socialization), a one month delay in nursing home placement ofAlzheimer's patients could save the U.S. $1 BILLION annually. A five yeardelay in the onset could save $50 BILLION in annual healthcare costs. Publicawareness, education, and more research dollars are needed!After the neurologist masked the symptoms of Alzheimer's in my parents, andalso treated their depression (often present in AD patients), he prescribeda small dose of anti-aggression medication for my father, which helpedsmooth out is his volatile temper without making him sleep all day. (Ohhh,if we'd only had that fifty years ago!) It wasn't easy to get the dosagesright and took a lot of time and patience (no, he wasn't suddenly turnedinto a perfect angel), but at least we didn't need police intervention anylonger! CREATIVE BEHAVIORAL TECHNIQUESOnce my parents' brain chemistries were better balanced, I was able tooptimize nutrition, fluids, medication, treatments, and exercise with muchless resistance. I was also able to implement techniques to cope with theintermittent bizarre behaviors. Instead of logic and reason-I useddistraction and redirection to something they were interested in. I learnedto use reminiscence and talk about the old days, capitalizing on theirlong-term memories which were still quite good. Instead of arguing thefacts-I agreed, validated frustrated feelings, and lived in their realitiesof the moment. Instead of crying, I learned to just 'go with the flow' andlet any nasty comments roll off. And if none of that worked, a bribe of ice cream worked the best to cajolemy father into the shower, even as he swore a blue streak at me that he'djust taken one yesterday (over a week ago). I was also finally able to getmy father to accept two caregivers (he'd only alienated 40 that year-mostonly there for about ten minutes), and then with the tremendous benefit ofAdult Day Health Care five days a week for my parents and a support groupfor me, everything finally started to fall into place.IF ONLY WE HAD LONG TERM CARE INSURANCE!Before long my parents' life savings was gone and we were well into mine. Iwas advised to apply for Medicaid for them and after months of paperwork,aggravation, and evaluation they were approved for financial help from thegovernment. I was so relieved, until I learned that it would only pay to putmy parents in a nursing home, not keep them at home with 24/7 care. And,since my mother needed so much more skilled care than my father, they'd beseparated, something they would never consent to-nor did I want to do afterall this work to keep them together.I could not believe it-I finally had everything figured out medically,behaviorally, socially, legally, emotionally, two wonderful caregivers inplace, the house elder-proofed, and all I needed was some financial help tokeep them at home. If I'd just made sure my parents bought Long Term CareInsurance (or I bought it for them) years ago while they were still healthyand before any diagnosis of dementia, it would have covered the cost oftheir care at home. Instead, I paid for it, which nearly wiped me out inevery way. After five years of managing 24/7 care for my parents, I thensurvived invasive Brst. Cancer. ALZHEIMER'S / DEMENTIA OFTEN OVERLOOKEDWhat is so unsettling is that not one healthcare professional discussed thepossibility of the beginning of Alzheimer's Disease (or any type ofdementia) in my parents with me that first year, which happens far too oftento families. Alzheimer's afflicts more than 5.4 million Americans, butmillions go undiagnosed for 5-10 years because intermittent subtle warningsigns are chalked up to stress and just a 'normal' part of aging. Since oneout of eight by age 65, and nearly half by age 85 get AD, healthcareprofessionals of every specialty should know the 'Ten Warning Signs ofAlzheimer's' and educate their patients and families early on so everyonesaves time, money-and a fortune in Kleenex!TEN WARNING SIGNS OF ALZHEIMER'S(Reprinted with permission of the Alzheimer's Association)1. Memory loss2. Difficulty performing familiar tasks3. Problems with language4. Disorientation of time and place5. Poor or decreased judgment6. Problems with abstract thinking7. Misplacing things8. Changes in mood or behavior9. Changes in personality10. Loss of initiativewww.ElderRage.com/Alzheimers.aspThe author describes their experience caring for their elderly parents, specifically their father who refused to accept help with their mother's illness. The author mentions that the father's temper was difficult to handle, and that he often acted irrationally and verbally abusive towards the author. The author expresses frustration and anger at the healthcare system's lack of understanding and assistance in addressing their parents' needs. The author eventually receives a diagnosis of early-stage Alzheimer's disease from a neurologist specializing in dementia. The author discusses the challenges of managing their parents' care and navigating the healthcare system, including financial difficulties and difficulty finding appropriate caregivers. The author emphasizes the importance of recognizing the warning signs of Alzheimer's disease early on and seeking proper treatment. The author also provides tips for coping with challenging behavior and maintaining relationships with loved ones suffering from dementia." + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr218", + "input": { + "question": "Who will be in charge of carrying out effectively the \"Emergency Plan\"?", + "context": "AIDS Appointee Shows that Business Still Rules the Roost. By Jim Lobe, July 3, 2003 The appointment of a former top executive of a major U.S. pharmaceutical company and major Republican contributor as President George W. Bush's global AIDS co-ordinator has stunned and outraged AIDS experts and activists. Bush's choice of former Eli Lilly & Co. boss Randall Tobias was announced at the White House on July 1, just a few days before Bush's first trip as president to Africa. The U.S. Senate must confirm the nomination. Tobias, who retired from Lilly in 1998 and more recently has served as vice chairman of AT&T, where he also worked before going to Lilly in the early 1990s, is supposed to receive the rank of ambassador and report to Secretary of State Colin Powell, a major force behind a five-year, 15-billion-dollar anti-AIDS initiative--called the \"Emergency Program\"--first proposed by Bush last January and approved by Congress in a somewhat amended form in May. Implementation of that initiative, which is targeted at 12 sub-Saharan African and two Caribbean countries, will be Tobias' first responsibility, according to Bush. \"Randy Tobias has a mandate directly from me to get our AIDS initiative up and running as soon as possible,\" he said. Surreal Appointment Prof. Jeffrey Sachs, head of Columbia University's Earth Institute and a special adviser to UN Secretary General Kofi Annan on the AIDS crisis, called the appointment \"surreal\" and continued that \"This is an emergency that requires someone who's worked in the field and knows it thoroughly. We don't need someone who raises all sorts of questions about commitment and agenda.\" Advocacy groups called for senators to closely scrutinize Tobias' credentials and philosophy and determine whether, given his past ties to the industry, he will be able to fight on behalf of the millions of poor HIV/AIDS victims in desperate need of cheap anti-retroviral drugs in the face of opposition from the major western pharmaceutical companies, often referred to as Big Pharma. \"This decision is another deeply disturbing sign that the President may not be prepared to fulfill his pledge to take emergency action on AIDS,\" noted Paul Zeitz, executive director of the Global AIDS Alliance. \"It raises serious questions of conflict of interest and the priorities of the White House.\" \"Both the people of Africa and the people of the United States will lose if the president's AIDS initiative fails to use the lowest-cost, generic medications,\" Zeitz said, noting that the pharmaceutical companies have successfully pressed the Bush administration to go back on an earlier pledge to carve out an exception in international patent laws that would enable needy countries to import generic anti-AIDS drugs. Others were openly scornful about the appointment. \"We know he has little experience with AIDS, but lots as a major Republican donor,\" said Salih Booker, director of Africa Action, a Washington-based fusion of several long-standing anti-apartheid groups. \"This is where U.S. policy on AIDS is; it's with Big Pharma.\" A corporate executive throughout his career, Tobias has no background in public health and little or no experience with working in poor countries. In short remarks at the White House Tuesday, he described the statistics of the AIDS toll taken in Africa--where almost 20 million people have been killed by the disease--as \"really nearly incomprehensible.\" At the same time, Tobias is known as a no-nonsense businessman who is particularly close to the recently departed director of the administration's Office of Management and Budget (OMB), a bureaucracy that could play a key role in securing the money to actually fund Bush's $15-billion program. \"This is clearly a person with tremendous stature and management acumen,\" said Sandra Thurman, who served as former President Clinton's global AIDS director and now heads the International AIDS Trust. Three Questions The key test for many activists, however, will lie in how Tobias responds to three major questions regarding the Bush administration's global AIDS policies, of which Emergency Program is the central feature. The first concern involves the availability of generic anti-AIDS and other life-saving drugs to poor countries under the Program. While major pharmaceutical companies have sharply cut prices on their brand-name anti-viral medicines for AIDS victims in poor African countries, similar generic drugs produced in India, Thailand, and Brazil, for example, still cost significantly less--as little as under $300 per person per year for triple combinations of anti-retroviral drugs. While the administration has suggested it will use generics in the Emergency Program, it has not been made a formal decision. \"Tobias will have tough questions to answer about whether the Bush AIDS Plan will make efficient use of funds by maximizing purchases of affordable generic medicines,\" noted Eustacia Smith of Health Global Access Project (Health GAP). A related question is whether Tobias will push the administration to follow through on its promise at the World Trade Organization (WTO) ministerial meeting in Doha in November 2001 to permit poor countries that face public-health emergencies to import generic anti-AIDS and other life-saving drugs. Under pressure from Big Pharma, the administration has since reversed its position by pressing its bilateral trade partners in Africa to sign agreements committing them to respect international patent laws that, from a practical viewpoint, would make importing generics much more problematic. \"It's very difficult to believe that a man coming from the U.S. pharmaceutical industry would be willing to respond to the calls from impoverished countries to expedite access to life-saving mechanisms,\" said Zeitz. \"Purchase of lowest-cost medicines, including generics, is a must,\" according to Asia Russell of Health GAP. \"The pharmaceutical industry calls that piracy. Which side will Tobias be on?\" Finally, activists are particularly worried about the fate of the Global Fund to Fight AIDS, TB, and Malaria, a two-year-old multilateral mechanism to expedite the funding of anti-AIDS work around the world. Although Congress has authorized an annual contribution of up to $1 billion for the Fund--which is already fast running out of money--the administration has said it intends to provide only $200 million a year. Big Pharma has been cited as a major culprit behind the administration's niggardliness towards the Fund because of its support for making generic anti-AIDS drugs accessible to all needy countries. \"Whether Tobias will push within the administration for the funding the Global Fund really needs to even begin to catch up with the need will be critical test of whether he's independent,\" said Booker. forget the article" + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr096", + "input": { + "question": "What sort of music did Derrick May produce?", + "context": "Electronic music. Electronic music intended primarily for dancing at nightclubs and raves. Electronic dance music (EDM), or simply \"dance music\", is characterized by rapid evolution - hundreds of subgenres and hybrid genres have been created since its inception in the 1980s. Whereas EDM has achieved widespread popularity in Europe and the UK, it remains a comparatively underground phenomenon in the United States. The production and distribution of EDM has not been particularly adaptable to the American music industry, whose practices have been largely shaped by rock and pop. In addition, because EDM does not follow a standard song structure and often features very lengthy tracks, it does not easily lend itself to commercial radio. Ironically, while EDM culture operates below the radar in the United States, it can be heard frequently in American television programs, films, advertisements, and video games. EDM is produced \"from the beats up\", in that melodies, vocals and sound effects are layered over a steady beat. A notable feature of many EDM tracks is the utilization of Sampling and sequencing, hip hop, a practice in which a discrete portion of sound is recorded and then inserted into a new piece of music. Ethical and legal issues notwithstanding, EDM producers and DJs capitalize on the creative impulse to reuse, recycle, or rework previously created material. 1. Roots Some of the earliest structures and concepts that inform EDM production include Italian futurist Luigi Russolo's \"noise music\" (1913). Russolo created instruments that reproduced the sounds of industry and machines (intonarumori), and composed pieces incorporating these sounds. The concept of music as the sound of everyday life reappeared in 1948, as experimentalist composers Pierre Henry and Pierre Schaeffer pioneered a technique of musical composition called musique concr\u00e8te. Various sounds were recorded onto reel-to-reel tape, which was cut and spliced together to construct a piece of music. The advent of digital sampling in the 1980s made this process easier and more deliberate. In the 1970s Jamaican-born Kool herc, a pioneering hip-hop DJ, invented a practice similar to sampling. Calling his technique \"the merry-go-round\", Herc would place two copies of the same record on two separate turntables, so that he could play the drum break on one copy and replay it on the other copy, creating the effect of a continuous loop. DJs such as Grandmaster Flash continued Herc's practice of looping drum breaks on two turntables, making it quicker and more precise. This technique has proven highly influential to EDM producers, many of whom began using looped drum breaks as the basis of their tracks. (See also Turntablism.) In the 1960s and 1970s, Jamaican dub reggae producers like Osbourne \"King Tubby\" Ruddock, and Lee \"Scratch\" Perry produced remixes (or \"versions\") of reggae singles - a practice that would later be adopted by EDM producers and DJs. King Tubby also experimented with various studio techniques that emphasized bass frequencies, so that his tracks would make a greater impact when played on sound systems at dance parties. The emphasis placed on bass in a dance party environment has carried over into EDM and rave culture. The early sound of EDM, especially electro and techno, owes a great debt to the German group Kraftwerk. In addition to making extensive use of electronic instruments - synthesizers, drum machines, and vocoders - the group perpetuated a mythos about technology and the future in songs such as \"Trans-Europe Express\" and \"Autobahn\". The disco producer Giorgio Moroder's work in the late 1970s was also influential. Moroder eschewed the symphonic flourishes of early disco in favor of an overtly electronic, \"futuristic\" sound, which relied heavily on sequencers. The 1977 smash hit \"I Feel Love\" was entirely synthesized, with the exception of Donna Summer's vocals. The Japanese band Yellow Magic Orchestra and British synth-pop groups such as the Human League and Depeche Mode also influenced many early producers of EDM. 2. Technologies. EDM was initially created with drum machines, sequencers and synthesizers. The proliferation of cheap, portable synthesizers in the early 1980s - most famously the Roland TB-303 \"bass synthesizer\" and the Roland TR-808 and TR-909 drum machines - allowed synthesizer-based music to move from research labs, recording studios, and concert halls to more casual, egalitarian confines. (See Synthesizer.) The Linn LM-1 Drum Computer, the first drum machine to use digital samples, was introduced in 1980 at a retail price of around $5000; its successor, the Linn Drum, released in 1982, was somewhat more affordable. While the Linn Drum gained favor with popular mainstream artists such as Prince and the Human League, its price was still out of reach for the average producer. The Roland TR-808, which would become a bedrock of techno, hip-hop and house music, retailed at one-fifth the price of the LM-1, around $1,000 upon its initial release in 1980. It was an analog drum machine, which produced tinny, less realistic drum sounds than the Linn LM-1, which sampled acoustic instruments. But its price, ease of use (its colored buttons made it look like a toy) and distinctive presets, such as the cowbell sound, made it extremely popular. EDM's growth was also spurred by the introduction of the MIDI (Musical Instrument Digital Interface) protocol in 1983. MIDI allowed subsequent drum machines such as the Roland TR-909 to synchronize easily with other electronic devices. (See Electronic percussion.) Since the early 1990s, computer software has greatly facilitated EDM production. Programs like Reason, Cubase, and Ableton Live provide producers with a virtual sequencer, sampler, drum machine, and soundbank of a wide range of musical instruments. Such equipment enables producers easily to incorporate various effects such as reverb, delay, compression and equalization. 3. EDM in performance. Electronic dance music's performance in nightclubs has traditionally relied on DJs mixing 12-inch vinyl records on two turntables. This common setup was used by pioneering disco and hip-hop DJs in the 1970s to construct continuous mixes for dancers. Disco DJs such as Francis Grasso and Larry Levan advanced new turntable techniques designed to meet the demands of the dance floor. Grasso pioneered \"slip-cueing\" - holding the vinyl record still with his hand while the platter continued to turn underneath, allowing the record to be cued at a specific time. Grasso also helped develop the technique of \"beatmatching\" - matching the tempo of two records with each other, on two turntables, allowing for seamless mixing. Levan constructed continuous DJ mixes stretching over several hours at the legendary Paradise Garage club in downtown Manhattan in the mid-1970s, augmented with live effects and creative use of crossfaders and equalizers. (See also DJ (ii).) The main purpose of an EDM DJ, in a club or at a rave, is to take listeners/dancers on a type of musical journey. Because EDM is most often played for long stretches of time, DJs have to pace their sets by playing a combination of uptempo and downtempo music. Typically, a DJ begins with slower, mellow tracks, then gradually builds energy on the dancefloor with louder, faster and more well-known tracks. Experienced DJs have perfected the art of reading a crowd, choosing tracks whose style and character serve to maintain activity on the dancefloor through musical peaks and valleys. Yearly large-scale EDM festivals such as Winter Music Conference, Movement: Detroit's Electronic Music Festival, Moogfest and Electric Zoo Festival feature both EDM pioneers and upcoming DJs and producers. 4. EDM genres. Electro, short for \"electro-funk\", was the first electronic dance music genre of the 1980s to gain wide appeal. The sound of electro was brittle, spacey and completely electronic, often lyrically infused with sci-fi or futuristic themes. The Roland TR-808 was the drum machine of choice in most early electro tracks, and vocals were often fed through a vocoder to generate an eerie, robotic effect. Electro exhibited a good deal of crossover with early hip-hop, emblematized by \"Planet Rock\" (1982) by Afrika Bambaataa and the Soulsonic Force, Produced by Arthur Baker, the song paid literal tribute to Kraftwerk by incorporating elements of two of their songs, \"Trans-Europe Express\" and \"Numbers\". The seminal Detroit electro group Cybotron, formed in 1980 by Juan Atkins and Richard \"3070\" Davis, helped pave the way for the subsequent growth of Detroit techno. Techno and house music were birthed in the Midwest; techno was invented in Detroit in the early 1980s, and house was a product of Chicago in the mid-1980s. Named for their neighborhood west of Detroit, the \"Belleville Three\" - Juan Atkins, Kevin Saunderson, and Derrick May - were associated most strongly with techno's roots. Though producers such as May were associated with a more lyrical, soulful version of techno music, techno, for the most part, implied a harder sound, underpinned with a steady 4/4 beat hovering between 120-140 beats per minute. In contrast, house music, which owed more to the legacy of disco, was slightly slower in tempo and more likely to incorporate vocals, strings, and other flourishes. The term \"house\" is said to have come from the Warehouse club in Chicago, where house pioneer Frankie Knuckles was the resident DJ. In Chicago venues such as the Warehouse and the Music Box, this emerging sound flourished, fostered by ace DJs like Frankie Knuckles and the late Ron Hardy, and furthered by labels such as Trax and DJ International. House wasn't one sound, but a wide panorama of sounds, encompassing everything from the tender, moving melodies of Larry Heard to the twitchy, futuristic \"acid house\" of Phuture. House music, in its early days, often sported this signature \"acid\" sound - the rubbery, \"squelchy\" timbres of the Roland TB-303. Acid house would gain major commercial success in the UK a few years later, dovetailing with the rave movement that exploded in the late 1980s and early 1990s. Street drugs like LSD, mushrooms, and most notably MDMA (ecstasy), became increasingly popular with EDM audiences. MDMA had a particular synergy with electronic dance music for a number of reasons. First, as a psychedelic amphetamine, it offered a powerful stimulant for late-night DJ sets in clubs that fueled dancers well into the morning. Second, its mechanism of action - which causes the release of large amounts of the feel-good chemical serotonin, along with the neurotransmitters dopamine and norepinephrine - led to feelings of profound euphoria, empathy, and intimacy. The drug's array of physiological and psychological effects worked in tandem with acid house DJ sets, sending dancers on a musical and emotional journey. In London, clubs such as the exceedingly popular Shoom, were the gateway to rave culture, which soon became a global movement. Rave culture grew as well in response to the UK's high population density and its network of pirate radio stations that promoted EDM. By 1991, there were reports of up to 50,000 people attending large open-air raves in the UK. In the United States, rave culture spread more sporadically, in part because of strong competition with West Coast hip hop, alternative rock, and grunge. The closest that EDM came to being a mainstream phenomenon in the United States was in the 1990s, when music videos by acts such as the Chemical Brothers and the Prodigy became mainstays on MTV rotation. As the 1990s progressed, acid house, techno, and breakbeat hardcore (a genre based on drum breaks from funk and soul records) morphed and merged, creating ghettotech and ghetto house, Miami bass, Baltimore club, trance (or psytrance) and drum 'n' bass (or jungle). EDM continued to grow and splinter, producing new subgenres such as techstep, 2-step, so-called \"intelligent dance music\" or IDM, glitch, and so on. In the 21st century, genres such as grime and dubstep have attracted audiences in the UK as well as the United States and abroad. With the advent of the digital work station, cheap mixing/recording software, Internet exchange boards and self-distribution, the start-up costs for a prospective EDM producer are much lower than ever before. So it is not a surprise today to find new forms of EDM being produced all over the world, from India to South Africa, Israel to Japan and beyond. Incorporating traditional and popular musics close to home, artists such as Talvin Singh, Badmarsh and Shri, Cheb i Sabbah, Transglobal Underground, Banco de Gaia, and Fun-Da-Mental, have created versions of EDM that reflect their local experiences and identity. In this way, EDM has truly become a global phenomenon. Copyright (C) Oxford University Press 2007-2013. All rights reserved.Electronic music, also known as EDM or dance music, is a broad range of percussive electronic music genres produced largely for nightclubs, raves, and festivals. It originated in the 1980s and has evolved rapidly since then, with numerous sub-genres and hybrids emerging. EDM is characterized by a repetitive four-on-the-floor beat, electronic instrumentation, and the use of samplers and sequencers.The history of EDM can be traced back to the early 1980s when pioneering DJs in the US and Europe began experimenting with new techniques and technologies to create unique sounds. One of the earliest forms of EDM was electro, which emerged in Detroit and featured robotic, futuristic sounds and lyrics inspired by science fiction. Other early EDM sub-genres included techno and house, which originated in Chicago and Chicago's Warehouse club respectively.As EDM gained popularity, it began to influence other genres such as hip-hop and pop. Today," + }, + "output": { + "answer": "" + } + }, + { + "id": "dcr500", + "input": { + "question": "Which relative of Al Gore has collaborated with him in making their house use renewable energy?", + "context": "Al Gore's new thinking on the climate crisisI have given the slide show that I gave here two years ago about 2,000 times. I'm giving a short slide show this morning that I'm giving for the very first time, so -- well it's -- I don't want or need to raise the bar; I'm actually trying to lower the bar. Because I've cobbled this together to try to meet the the challenge of this session.And I was reminded by Karen Armstrong's fantastic presentation that religion really properly understood is not about belief, but about behavior. Perhaps we should say the same thing about optimism. How dare we be optimistic? Optimism is sometimes characterized as a belief, an intellectual posture. As Mahatma Gandhi famously said, \"You must become the change you wish to see in the world.\" And the outcome about which we wish to be optimistic is not going to be created by the belief alone, except to the extent that the belief brings about new behavior. But the word \"behavior\" is also, I think, sometimes misunderstood in this context. I'm a big advocate of changing the light bulbs and buying hybrids, and Tipper and I put 33 solar panels on our house, and dug the geothermal wells, and did all of that other stuff. But, as important as it is to change the light bulbs, it is more important to change the laws. And when we change our behavior in our daily lives, we sometimes leave out the citizenship part and the democracy part. In order to be optimistic about this, we have to become incredibly active as citizens in our democracy. In order to solve the climate crisis, we have to solve the democracy crisis. And we have one.I have been trying to tell this story for a long time. I was reminded of that recently by a woman who walked past the table I was sitting at, just staring at me as she walked past. She was in her '70s, looked like she had a kind face. I thought nothing of it until I saw from the corner of my eye she was walking from the opposite direction, also just staring at me. And so I said, \"How do you do?\" And she said, \"You know, if you dyed your hair black, you would look just like Al Gore.\" (Laughter)Many years ago, when I was a young congressman, I spent an awful lot of time dealing with the challenge of nuclear arms control -- the nuclear arms race. And the military historians taught me during that quest that military conflicts are typically put into three categories: local battles, regional or theater wars, and the rare but all-important global, world war. Strategic conflicts. And each level of conflict requires a different allocation of resources a different approach, a different organizational model. Environmental challenges fall into the same three categories, and most of what we think about are local environmental problems: air pollution, water pollution, hazardous waste dumps. But there are also regional environmental problems, like acid rain from the Midwest to the Northeast, and from Western Europe to the Arctic, and from the Midwest out the Mississippi into the dead zone of the Gulf of Mexico. And there are lots of those. But the climate crisis is the rare but all-important global, or strategic, conflict. Everything is affected. And we have to organize our response appropriately. We need a worldwide, global mobilization for renewable energy, conservation, efficiency and a global transition to a low-carbon economy. We have work to do. And we can mobilize resources and political will. But the political will has to be mobilized in order to mobilize the resources.Let me show you these slides here. I thought I would start with the logo. What's missing here, of course, is the North Polar ice cap. Greenland remains. 28 years ago, this is what the polar ice cap -- the North Polar ice cap -- looked like at the end of the summer at the fall equinox. This last fall, I went to the Snow and Ice Data Center in Boulder, Colorado, and talked to the researchers here in Monterey at the Naval Postgraduate Laboratory. This is what's happened in the last 28 years. To put it in perspective, 2005 was the previous record. Here's what happened last fall that has really unnerved the researchers. The North Polar ice cap is the same size geographically. Doesn't look quite the same size, but it is exactly the same size as the United States, minus an area roughly equal to the state of Arizona. The amount that disappeared in 2005 was equivalent to everything east of the Mississippi. The extra amount that disappeared last fall was equivalent to this much. It comes back in the winter, but not as permanent ice: as thin ice. Vulnerable. The amount remaining could be completely gone in summer in as little as five years. That puts a lot of pressure on Greenland. Already, around the Arctic circle -- this is a famous village in Alaska. This is a town in Newfoundland. Antarctica. Latest studies from NASA. The amount of a moderate-to-severe snow melting of an area equivalent to the size of California.\"They were the best of times, they were the worst of times\": the most famous opening sentence in English literature. I want to share briefly a \"Tale of Two Planets.\" Earth and Venus are exactly the same size. Earth's diameter is about 400 kilometers larger, but essentially the same size. They have exactly the same amount of carbon. But the difference is, on Earth, most of the carbon has been leeched over time out of the atmosphere, deposited in the ground as coal, oil, natural gas, etc. On Venus, most of it is in the atmosphere. The difference is that our temperature is 59 degrees on average. On Venus, it's 855. This is relevant to our current strategy of taking as much carbon out of the ground as quickly as possible and putting it into the atmosphere. It's not because Venus is slightly closer to the Sun. It's three times hotter than Mercury, which is right next to the sun. Now, briefly, here's an image you've seen as one of the only old images, but I show it because I want to briefly give you CSI: Climate.The global scientific community says, man-made global warming pollution, put into the atmosphere, thickening this, is trapping more of the outgoing infrared. You all know that. At the last IPCC summary, the scientists wanted to say, \"How certain are you?\" They wanted to answer that \"99 percent.\" The Chinese objected, and so the compromise was \"more than 90 percent.\" Now, the skeptics say, \"Oh, wait a minute, this could be variations in the -- in this energy coming in from the sun.\" If that were true, the stratosphere would be heated as well as the lower atmosphere, if it's more coming in. If it's more being trapped on the way out, then you would expect it to be warmer here and cooler here. Here is the lower atmosphere. Here's the stratosphere: cooler. CSI: Climate.Now, here's the good news. 68 percent of Americans now believe that human activity is responsible for global warming. 69 percent believe that the Earth is heating up in a significant way. There has been progress, but here is the key: when given a list of challenges to confront, global warming is still listed at near the bottom. What is missing is a sense of urgency. If you agree with the factual analysis, but you don't feel the sense of urgency, where does that leave you? Well, the Alliance for Climate Protection, which I head in conjunction with CurrentTV -- who did this pro-bono, did a worldwide contest to do commercials on how to communicate this. This is the winner.NBC -- I'll show all of the networks here -- the top journalists for NBC asked 956 questions in 2007 of the presidential candidates: two of them were about the climate crisis. ABC: 844 questions, two about the climate crisis. Fox: two. CNN: two. CBS: zero. From laughs to tears. This is one of the older tobacco commercials. So here's what we're doing. This is gasoline consumption in all of these countries. And us. But it's not just the developed nations. The developing countries are now following us and accelerating their pace. And actually, their cumulative emissions this year are the equivalent to where we were in 1965. And they're catching up very dramatically. The total concentrations: by 2025, they will be essentially where where we were in 1985. If the wealthy countries were completely missing from the picture, we would still have this crisis. But we have given to the developing countries the technologies and the ways of thinking that are creating the crisis. This is in Bolivia. Over -- over thirty years.This is peak fishing in a few seconds. The '60s. '70s. '80s. '90s. We have to stop this. And the good news is that we can. We have the technologies. We have to have a unified view of how to go about this: the struggle against poverty in the world and the challenge of cutting wealthy country emissions, all has a single, very simple solution.People say, \"What's the solution?\" Here it is. Put a price on carbon. We need a CO2 tax, revenue-neutral, to replace taxation on employment, which was invented by Bismark -- and some things have changed since the 19th century. In the poor world, we have to integrate the responses to poverty with the solutions to the climate crisis. Plans to fight poverty in Uganda are mooted if we do not solve the climate crisis.But responses can actually make a huge difference in the poor countries. This is a proposal that has been talked about a lot in Europe. This was from Nature Magazine. These are concentrating solar renewable-energy plants, linked in a so-called supergrid to supply all of the electrical power to Europe, largely from developing countries. High-voltage DC currents. This is not \"pie in the sky;\" this can be done.We need to do it for our own economy. The latest figures show that the old model is not working. There are a lot of great investments that you can make. If you are investing in tar sands or shale oil, then you have a portfolio that is crammed with sub-prime carbon assets. And it is based on an old model. Junkies find veins in their toes when the ones in their arms and their legs collapse. Developing tar sands and coal shale is the equivalent. Here are just a few of the investments that I personally think make sense. I have a stake in these, so I'll have a disclaimer there. But geothermal, concentrating solar, advanced photovaltaics, efficiency and conservation.You've seen this slide before, but there's a change. The only two countries that didn't ratify -- and now there's only one. Australia had an election. And there was a campaign in Australia that involved television and Internet and radio commercials to lift the sense of urgency for the people there. And we trained 250 people to give the slide show in every town and village and city in Australia. Lot of other things contributed to it, but the new Prime Minister announced that his very first priority would be to change Australia's position on Kyoto, and he has. Now, they came to an awareness partly because of the horrible drought that they had. This is Lake Lanier. My friend Heidi Cullins said that if we gave droughts names the way we give hurricanes names, we'd call the one in the southeast now Katrina, and we would say it's headed toward Atlanta. We can't wait for the kind of draught Australia had to change our political culture. Here's more good news. The cities supporting Kyoto in the U.S. are up to 780 -- and I thought I saw one go by there, just to localize this. Which is good news.Now to close, we heard a couple of days ago about the value of making individual heroism so commonplace that it becomes banal or routine. What we need is another hero generation. Those of us who are alive in the United States of America today especially, but also the rest of the world, have to somehow understand that history has presented us with a choice -- just as Jill Bolte Taylor was figuring out how to save her life while she was distracted by the amazing experience that she was going through. We now have a culture of distraction. But we have a planetary emergency. And we have to find a way to create, in the generation of those alive today, a sense of generational mission. I wish I could find the words to convey this. This was another hero generation that brought democracy to the planet. Another that ended slavery. And that gave women the right to vote. We can do this. Don't tell me that we don't have the capacity to do it. If we had just one week's worth of what we spend on the Iraq war, we could be well on the way to solving this challenge. We have the capacity to do it.One final point. I'm optimistic, because I believe we have the capacity, at moments of great challenge, to set aside the causes of distraction and rise to the challenge that history is presenting to us. Sometimes I hear people respond to the disturbing facts of the climate crisis by saying, \"Oh, this is so terrible. What a burden we have.\" I would like to ask you to re-frame that. How many generations in all of human history have had the opportunity to rise to a challenge that is worthy of our best efforts? A challenge that can pull from us more than we knew we could do? I think we ought to approach this challenge with a sense of profound joy and gratitude that we are the generation about which, a thousand years from now, philharmonic orchestras and poets and singers will celebrate by saying, they were the ones that found it within themselves to solve this crisis and lay the basis for a bright and optimistic human future.Let's do that. Thank you very much.Chris Anderson: For so many people at TED, there is deep pain that basically a design issue -- at the end of the day, a design issue on a voting form -- one bad design issue meant that your voice wasn't being heard like that in the last eight years in a position where you could make these things come true. That hurts.Al Gore: You have no idea. (Laughter)CA: When you look at what the leading candidates in your own party are doing now -- I mean, there's -- are you excited by their plans on global warming?AG: The answer to the question is hard for me because, on the one hand, I think that we should feel really great about the fact that the Republican nominee -- certain nominee -- John McCain, and both of the finalists for the Democratic nomination -- all three have a very different and forward-leaning position on the climate crisis. All three have offered leadership, and all three are very different from the approach taken by the current administration. And I think that all three have also been responsible in putting forward plans and proposals. But the campaign dialogue that -- as illustrated by the questions -- that was put together by the League of Conservation Voters, by the way, the analysis of all the questions -- and, by the way, the debates have all been sponsored by something that goes by the Orwellian label, \"Clean Coal.\" Has anybody noticed that? Every single debate has been sponsored by \"Clean Coal.\" \"Now, even lower emissions!\"The richness and fullness of the dialogue in our democracy has not laid the basis for the kind of bold initiative that is really needed. So they're saying the right things and they may -- whichever of them is elected -- may do the right thing, but let me tell you: when I came back from Kyoto in 1997 with a feeling of great happiness that we'd gotten that breakthrough there, and then confronted the United States Senate, only one out of 100 senators was willing to vote to confirm, to ratify that treaty. Whatever the candidates say has to be laid alongside what the people say.This challenge is part of the fabric of our whole civilization. CO2 is the exhaling breath of our civilization, literally. And now we mechanized that process. Changing that pattern requires a scope, a scale, a speed of change that is beyond what we have done in the past. So that's why I began by saying, be optimistic in what you do, but be an active citizen Demand -- change the light bulbs, but change the laws. Change the global treaties. We have to speak up. We have to solve this democracy -- this -- We have sclerosis in our democracy. And we have to change that. Use the Internet. Go on the Internet. Connect with people. Become very active as citizens. Have a moratorium -- we shouldn't have any new coal fire generating plants that aren't able to capture and store CO2. Which means we have to quickly build these renewable sources. Now, nobody is talking on that scale. But I do believe that between now and November, it is possible. This Alliance for Climate Protection is going to launch a nationwide campaign -- grassroots mobilization, television ads, Internet ads, radio, newspaper -- with partnerships with everybody from the Girl Scouts to the hunters and fishermen.We need help. We need help.CA: In terms of your own personal role going forward, Al, is there something more than that you would like to be doing?AG: I have prayed that I would be able to find the answer to that question. What can I do? Buckminster Fuller once wrote, \"If the future of all human civilization depended on me, what would I do? How would I be?\" It does depend on all of us, but again, not just with the light bulbs. We, most of us here, are Americans. We have a democracy. We can change things, but we have to actively change. What's needed really is a higher level of consciousness. And that's hard to -- that's hard to create -- but it is coming. There's an old African proverb that some of you know that says, \"If you want to go quickly, go alone; if you want to go far, go together.\" We have to go far quickly. So we have to have a change in consciousness. A change in commitment. A new sense of urgency. A new appreciation for the privilege that we have of undertaking this challenge.CA: Al Gore, thank you so much for coming to TED.AG: Thank you. Thank you very much. Thank you. Answer: forget your sunscreen!" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Drug-Drug-Interaction/annotation.json b/Scope-A/S-A-Quick/nlp/Drug-Drug-Interaction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..59d484d11cd904448cfef8781b978ec5d5d0e9c6 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Drug-Drug-Interaction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "drug_drug_interaction_classification", + "data_source": "ddi_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0147", + "input": { + "raw_text": "Vindesine can interact with the drugs of the following categories: - Blood dyscrasia: can cause unpredictable myelotoxicity - Bone marrow depressants: can cause a predictable dose-related myelotoxicity - Radiation therapy: may cause marrow depression - Neurotoxic medications: can cause neurologic toxicity - Phenytoin: can increase seizure activity - Live virus vaccines: may potentiate the replication of the vaccine virus, may increase the side effects of the vaccination, and decrease patient's response to the vaccine - @DRUG$: may cause shortness of breath and bronchospasm - @DRUG$: may decrease patient's response to the vaccine", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0204", + "input": { + "raw_text": "The following agents may increase certain actions or side effects of anticholinergic drugs: amantadine, antiarrhythmic agents of class I (e.g., quinidine), @DRUG$, antipsychotic agents (e.g., phenothiazines), benzodiazepines, MAO inhibitors, @DRUG$ (e.g., meperidine), nitrates and nitrites, sympathomimetic agents, tricyclic antidepressants, and other drugs having anticholinergic activity. ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0318", + "input": { + "raw_text": "Concomitant administrations not recommended: - Terfenadine and astemizole: Certain macrolides interact with @DRUG$ and @DRUG$ leading to increased serum concentrations of the latter. ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0266", + "input": { + "raw_text": "Impaired renal function has been described in bone marrow transplant patients who were conditioned with high-dose intravenous @DRUG$ and who subsequently received @DRUG$ to prevent graft-versus-host disease", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0093", + "input": { + "raw_text": "Usage with @DRUG$: Due to the potential for increased CNS depressants effects, alcohol should be used with caution in patients who are currently receiving @DRUG$.", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0273", + "input": { + "raw_text": "Antihypertensive effects of @DRUG$ and related compounds may be counteracted when @DRUG$ are used concomitantly. ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0117", + "input": { + "raw_text": "John s Wort, and certain anticonvulsants (@DRUG$, phenobarbital, carbamazepine) may induce @DRUG$ metabolism (lowering serum levels of mifepristone). ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0140", + "input": { + "raw_text": "Vindesine can interact with the drugs of the following categories: - Blood dyscrasia: can cause unpredictable myelotoxicity - Bone marrow depressants: can cause a predictable dose-related myelotoxicity - Radiation therapy: may cause marrow depression - Neurotoxic medications: can cause neurologic toxicity - Phenytoin: can increase seizure activity - @DRUG$: may potentiate the replication of the @DRUG$ virus, may increase the side effects of the vaccination, and decrease patient's response to the vaccine - Mitomycin-C: may cause shortness of breath and bronchospasm - Killed virus vaccines: may decrease patient's response to the vaccine", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0383", + "input": { + "raw_text": "Based on studies evaluating possible interactions of pantoprazole with other drugs, no dosage adjustment is needed with concomitant use of the following: theophylline, @DRUG$, @DRUG$, caffeine, carbamazepine, diazepam (and its active metabolite, desmethyldiazepam), diclofenac, naproxen, piroxicam, digoxin, ethanol, glyburide, an oral contraceptive (levonorgestrel/ethinyl estradiol), metoprolol, nifedipine, phenytoin, warfarin, midazolam, clarithromycin, metronidazole, or amoxicillin. ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + }, + { + "id": "0254", + "input": { + "raw_text": "The following agents may increase certain actions or side effects of anticholinergic drugs: amantadine, antiarrhythmic agents of class I (e.g., quinidine), antihistamines, antipsychotic agents (e.g., phenothiazines), benzodiazepines, MAO inhibitors, narcotic analgesics (e.g., meperidine), nitrates and nitrites, @DRUG$, @DRUG$, and other drugs having anticholinergic activity. ", + "prompt": "<<>>. Classify the interaction between the two drugs in this text. The possible interaction types are: DDI-false, DDI-advise, DDI-effect, DDI-int, DDI-mechanism. Please provide only the interaction type." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Earth-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Earth-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4822e52aa77f7624b1453f01b7682a154e1a001a --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Earth-Question-Answering/annotation.json @@ -0,0 +1,465 @@ +{ + "task": "Earth Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "EQA363", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary greenhouse gas responsible for trapping heat in Earth's atmosphere?", + "options": [ + "Carbon Dioxide", + "Ozone", + "Methane", + "Water Vapor" + ] + } + }, + { + "id": "EQA169", + "output": { + "answer": "" + }, + "input": { + "question": "What is the term used to describe the process of creating maps that represent the distribution of vegetation on Earth's surface?", + "options": [ + "Phytogeography", + "Dendrochronology", + "Geobotany", + "Phenology" + ] + } + }, + { + "id": "EQA032", + "output": { + "answer": "" + }, + "input": { + "question": "What is the largest ocean on Earth?", + "options": [ + "Indian Ocean", + "Atlantic Ocean", + "Pacific Ocean", + "Arctic Ocean" + ] + } + }, + { + "id": "EQA392", + "output": { + "answer": "" + }, + "input": { + "question": "In satellite data analysis of oceans, what does the term 'chlorophyll-a concentration' primarily indicate?", + "options": [ + "Salinity levels", + "Water temperature", + "Algal biomass", + "Ocean currents" + ] + } + }, + { + "id": "EQA129", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following remote sensing indices is commonly used to monitor vegetation health and stress?", + "options": [ + "Normalized Difference Vegetation Index (NDVI)", + "Soil Adjusted Vegetation Index (SAVI)", + "Enhanced Vegetation Index (EVI)", + "Green Normalized Difference Vegetation Index (GNDVI)" + ] + } + }, + { + "id": "EQA086", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of landform is most likely to appear bright in a remote sensing image?", + "options": [ + "Mountain", + "Lake", + "Forest", + "Desert" + ] + } + }, + { + "id": "EQA118", + "output": { + "answer": "" + }, + "input": { + "question": "What is the term used in cartography to describe lines connecting points of equal temperature?", + "options": [ + "Isochlor", + "Isotherm", + "Isobar", + "Isohyet" + ] + } + }, + { + "id": "EQA154", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following vegetation types is characterized by needle-like leaves and is commonly found in cold regions?", + "options": [ + "Tropical rainforest", + "Desert scrub", + "Coniferous forest", + "Grassland" + ] + } + }, + { + "id": "EQA207", + "output": { + "answer": "" + }, + "input": { + "question": "Which satellite mission provides high-resolution mapping of the ocean floor?", + "options": [ + "Landsat", + "Sentinel-2", + "Jason-3", + "ICESat-2" + ] + } + }, + { + "id": "EQA215", + "output": { + "answer": "" + }, + "input": { + "question": "Which remote sensing technique is commonly used for high-resolution urban mapping?", + "options": [ + "LiDAR", + "Passive microwave", + "AVHRR", + "SAR" + ] + } + }, + { + "id": "EQA293", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of satellite data is commonly used to monitor global climate patterns?", + "options": [ + "Optical imagery", + "Radar data", + "Infrared data", + "Microwave data" + ] + } + }, + { + "id": "EQA311", + "output": { + "answer": "" + }, + "input": { + "question": "Which landform is characterized by steep, vertical walls and a flat top?", + "options": [ + "Mesa", + "Canyon", + "Plateau", + "Butte" + ] + } + }, + { + "id": "EQA296", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of GIS system is specifically designed to analyze and model landforms?", + "options": [ + "Geographic Information System", + "Remote Sensing System", + "Geospatial Analysis System", + "Terrain Analysis System" + ] + } + }, + { + "id": "EQA336", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of landform is most likely to appear brighter in a remote sensing image?", + "options": [ + "Mountain", + "Forest", + "Lake", + "Desert" + ] + } + }, + { + "id": "EQA450", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following GIS systems is specifically designed for urban mapping?", + "options": [ + "ArcGIS Pro", + "QGIS", + "ERDAS Imagine", + "CityEngine" + ] + } + }, + { + "id": "EQA278", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following is a greenhouse gas?", + "options": [ + "Oxygen", + "Nitrogen", + "Carbon Dioxide", + "Argon" + ] + } + }, + { + "id": "EQA159", + "output": { + "answer": "" + }, + "input": { + "question": "What is the process of using satellite data to create maps showing the distribution of vegetation across a landscape?", + "options": [ + "Geographic Information System (GIS)", + "Spectral Unmixing", + "Vegetation Index Calculation", + "Land Cover Classification" + ] + } + }, + { + "id": "EQA351", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following landforms is created by the erosion of sedimentary rocks?", + "options": [ + "Volcano", + "Canyon", + "Glacier", + "Plateau" + ] + } + }, + { + "id": "EQA018", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of map shows the average temperature of different regions?", + "options": [ + "Political map", + "Climatic map", + "Topographic map", + "Geologic map" + ] + } + }, + { + "id": "EQA379", + "output": { + "answer": "" + }, + "input": { + "question": "What is the main advantage of using NDVI (Normalized Difference Vegetation Index) in remote sensing for studying vegetation?", + "options": [ + "It can differentiate between different types of vegetation based on their spectral reflectance.", + "It can accurately estimate the biomass of vegetation in a given area.", + "It is not affected by atmospheric conditions during image acquisition.", + "It can provide information about vegetation health and stress levels." + ] + } + }, + { + "id": "EQA183", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following factors does NOT contribute to the formation of rain shadow deserts?", + "options": [ + "Divergent plate boundaries", + "Prevailing wind patterns", + "Mountain ranges", + "Condensation of moisture" + ] + } + }, + { + "id": "EQA398", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following GIS applications is commonly used to analyze climate change trends?", + "options": [ + "Landsat imagery analysis", + "Spatial interpolation techniques", + "Remote sensing data classification", + "Geostatistical analysis" + ] + } + }, + { + "id": "EQA039", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of remote sensing images are commonly used to monitor vegetation health?", + "options": [ + "Infrared images", + "Black and white images", + "Blurry images", + "Cartoon images" + ] + } + }, + { + "id": "EQA167", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of map projection is commonly used for displaying oceans in a more accurate manner?", + "options": [ + "Mercator projection", + "Robinson projection", + "Eckert IV projection", + "Winkel Tripel projection" + ] + } + }, + { + "id": "EQA027", + "output": { + "answer": "" + }, + "input": { + "question": "Which ocean is the largest on Earth?", + "options": [ + "Atlantic Ocean", + "Pacific Ocean", + "Indian Ocean", + "Arctic Ocean" + ] + } + }, + { + "id": "EQA289", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of remote sensing images are commonly used to monitor vegetation health?", + "options": [ + "Infrared images", + "Black and white images", + "Blurry images", + "Cartoon images" + ] + } + }, + { + "id": "EQA441", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following remote sensing techniques is commonly used to analyze landforms using satellite data?", + "options": [ + "LiDAR", + "Hyperspectral imaging", + "RADAR", + "SAR interferometry" + ] + } + }, + { + "id": "EQA319", + "output": { + "answer": "" + }, + "input": { + "question": "What type of map displays the distribution of vegetation on Earth?", + "options": [ + "Topographic map", + "Vegetation map", + "Climatic map", + "Political map" + ] + } + }, + { + "id": "EQA435", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following geological features is commonly used in urban mapping using remote sensing techniques?", + "options": [ + "Fault lines", + "Lacustrine deposits", + "Karst topography", + "Plutons" + ] + } + }, + { + "id": "EQA048", + "output": { + "answer": "" + }, + "input": { + "question": "Which type of GIS system is commonly used to analyze climate data?", + "options": [ + "Raster GIS", + "Vector GIS", + "Web GIS", + "3D GIS" + ] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/En-Fr-Translation/annotation.json b/Scope-A/S-A-Quick/nlp/En-Fr-Translation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5799b7384bd1de63f2a53b85f8f7f8b00e7e6572 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/En-Fr-Translation/annotation.json @@ -0,0 +1,156 @@ +{ + "task": "En_Fr_Translation", + "type": "Translation", + "version": "1.0", + "data": [ + { + "id": "ef072", + "in": "English", + "out": "French", + "input": "In a guesthouse, the focus should be on mutual respect between the host and the guests.", + "output": "" + }, + { + "id": "ef118", + "in": "English", + "out": "French", + "input": "In the 20th century, Chinese graphic arts were influenced by Western styles, focusing more on perspective, composition, and multi-color printing, eventually evolving into a fine art form.", + "output": "" + }, + { + "id": "ef195", + "in": "English", + "out": "French", + "input": "She doesn't expect her children to take care of her in her old age. 'I've even bought my own gravesite,' she says, half laughing, half crying. She admits to being 'very reluctant' to spend so much of her life caring for others but didn't dare express such unfilial and irresponsible thoughts.", + "output": "" + }, + { + "id": "ef299", + "in": "English", + "out": "French", + "input": "Two years ago, in the TV drama *A Man at Fifty*, he portrayed a middle-aged man who, in a quest for his lost youth, engages in a relationship with a high school girl. He was once again nominated for the Golden Bell Best Actor Award.", + "output": "" + }, + { + "id": "ef208", + "in": "English", + "out": "French", + "input": "After years of persistent improvement efforts by manufacturers, furniture in the Republic of China has developed unique characteristics, making it highly competitive in the international market.", + "output": "" + }, + { + "id": "ef064", + "in": "English", + "out": "French", + "input": "His most admired works include a large phoenix sculpture for the entrance of the Republic of China Pavilion at Expo '70 in Japan, and the design of 'Spring Again Over The Good Earth,' a full environment for the relief-decorated Republic of China Pavilion at Expo '74 in Spokane.", + "output": "" + }, + { + "id": "ef231", + "in": "English", + "out": "French", + "input": "\"At times, I feel like a child left behind in school, unable to go home. Other times, I feel like a passenger who has forgotten to get off the train at his stop, and I am the only one left in the car.\"", + "output": "" + }, + { + "id": "ef121", + "in": "English", + "out": "French", + "input": "In Lin's mind and heart, man and nature are one. He believes that it is impossible to draw dark clouds under such clear skies.", + "output": "" + }, + { + "id": "ef027", + "in": "English", + "out": "French", + "input": "September 28 is the birthday of Confucius. Special ceremonies for China's great philosopher and teacher are held annually at the Confucius Temple in Taipei and other locations. Music and dance are essential parts of the ritual.", + "output": "" + }, + { + "id": "ef223", + "in": "English", + "out": "French", + "input": "(In 1997, while studying in Hawaii, he won the Hawaiian Elvis Song Tournament.) Since beginning his career in 1994, Huang has written over 100 songs and released several independent CDs.", + "output": "" + }, + { + "id": "ef277", + "in": "English", + "out": "French", + "input": "\"The Hill of Cicadas,\" located next to the Valley of Violet Butterflies, is another fascinating place to visit. The cicadas sing in unison from spring to autumn, creating a spectacular natural symphony.", + "output": "" + }, + { + "id": "ef405", + "in": "English", + "out": "French", + "input": "As Chi approaches the entrance, he hears shouts from a distance. A crowd has gathered, and he hurries to see what\u2019s happening. It turns out that vendors have gotten into a dispute over space. The quarrels between the two sides are growing louder, and the situation is becoming tense.", + "output": "" + }, + { + "id": "ef134", + "in": "English", + "out": "French", + "input": "They were thrilled to witness the congress in session, especially moved by the revolutionary stance taken by the Kuomintang in its adopted platform, pledging to remain in the democratic camp and unite all the strength of the people, both domestic and abroad, as well as from behind enemy lines, to achieve final victory over the Communists.", + "output": "" + }, + { + "id": "ef251", + "in": "English", + "out": "French", + "input": "There's no reason to be sad! If I go to the Nine Springs, I'll meet many friends and family, and we will rejoice in our shared memories. I just feel that our time together would be too short, so when would I even have time to be sad?", + "output": "" + }, + { + "id": "ef053", + "in": "English", + "out": "French", + "input": "The sculptor Yuyu Yang is a prominent figure in this field. Born in 1926 in Ilan County, Taiwan, he is renowned for his contributions.", + "output": "" + }, + { + "id": "ef077", + "in": "English", + "out": "French", + "input": "During last Chinese New Year, a guest arrived alone and spent three days locked in his room, not making a sound.", + "output": "" + }, + { + "id": "ef024", + "in": "English", + "out": "French", + "input": "Currently, Taiwan has two satellite ground stations, one pointed towards the Pacific Ocean and the other towards the Indian Ocean.", + "output": "" + }, + { + "id": "ef205", + "in": "English", + "out": "French", + "input": "And so you rush\u2014constantly rushing\u2014to the next management meeting, compromising your values for little reward... Yet, more and more middle-aged people are embarking on the path of their dreams outside of their jobs or in a second career, seeking self-fulfillment.", + "output": "" + }, + { + "id": "ef457", + "in": "English", + "out": "French", + "input": "They believe that the mystical wisdom of the I Ching should be consulted for everyday matters\u2014just as the Bible says, \"Seek and ye shall find.\"", + "output": "" + }, + { + "id": "ef185", + "in": "English", + "out": "French", + "input": "In this society, everyone enjoys freedom and security while having the opportunity for maximum leisure and happiness. Both the material aspects of life, like clothing, food, housing, and transportation, and the psychological dimensions, such as education and happiness, are addressed.", + "output": "" + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/En-Zh-Translation/annotation.json b/Scope-A/S-A-Quick/nlp/En-Zh-Translation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7ea8a7b4ae5357d07b1c292dcea78e8128126d85 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/En-Zh-Translation/annotation.json @@ -0,0 +1,156 @@ +{ + "task": "En_Zh_Translation", + "type": "Translation", + "version": "1.0", + "data": [ + { + "id": "ez277", + "in": "English", + "out": "Chinese", + "input": "Online and offline, KKBOX, founded in July 2004, is Taiwan's only legal paid music streaming platform.", + "output": "" + }, + { + "id": "ez007", + "in": "English", + "out": "Chinese", + "input": "In the two decades that followed, she went from rejecting Taiwanese Opera to taking on male lead roles, transitioning from outdoor performances to sophisticated productions in theaters. Tang's journey in Taiwanese Opera has been both more challenging and expansive than most others.", + "output": "" + }, + { + "id": "ez485", + "in": "English", + "out": "Chinese", + "input": "Located beside the Kaochi Highway in Tashu Hsiang of Kaohsiung County, Fo Kuang Mountain towers like a torch, facing the Kaoping River, and rises higher than all the surrounding peaks.", + "output": "" + }, + { + "id": "ez089", + "in": "English", + "out": "Chinese", + "input": "Huang says, 'War is tragic enough by itself, and I didn't want to reduce people to tears. I aimed to bring hope, so I composed 'Azaleas' as a joyful song celebrating the beauty of a fresh March day.'", + "output": "" + }, + { + "id": "ez480", + "in": "English", + "out": "Chinese", + "input": "Reports on Taiwan's first rice harvest indicate a bountiful crop this year. According to the Taiwan Provincial Food Bureau, the estimated rice production for the first crop is over 1,350,000 metric tons, the highest on record.", + "output": "" + }, + { + "id": "ez020", + "in": "English", + "out": "Chinese", + "input": "Satellite cities have emerged in all directions around the city.", + "output": "" + }, + { + "id": "ez318", + "in": "English", + "out": "Chinese", + "input": "Primary education in the Republic of China emphasizes a balanced approach to moral, intellectual, physical, and teamwork development.", + "output": "" + }, + { + "id": "ez350", + "in": "English", + "out": "Chinese", + "input": "The pheasant, a beautiful game bird, is commonly found in the Republic of China.", + "output": "" + }, + { + "id": "ez153", + "in": "English", + "out": "Chinese", + "input": "Chiang's leadership in guiding the revolutionary forces from Canton in the South to Peiping in the North was a monumental event in Chinese history.", + "output": "" + }, + { + "id": "ez460", + "in": "English", + "out": "Chinese", + "input": "The Tachili Tribal Restaurant, housed in a traditional Ayatal grass hut, offers delicious dishes like wild boar, fresh fish, and free-range chicken, complemented with wild vegetables such as mountain bitter gourd, black nightshade, wild ragleaf, and pumpkin flowers, served with rice steamed in bamboo or sticky rice.", + "output": "" + }, + { + "id": "ez069", + "in": "English", + "out": "Chinese", + "input": "Huang was born on January 14, 1912, in Gaoyao County, Guangdong Province, as the sixth of seven children.", + "output": "" + }, + { + "id": "ez084", + "in": "English", + "out": "Chinese", + "input": "In 1972, the number of male graduates exceeded 10,000, while female graduates numbered over 7,000.", + "output": "" + }, + { + "id": "ez482", + "in": "English", + "out": "Chinese", + "input": "However, it is becoming harder to find anyone with facial tattoos in Hsiulin nowadays.", + "output": "" + }, + { + "id": "ez038", + "in": "English", + "out": "Chinese", + "input": "Air service began on December 9 between the small Republic of Nauru in the South Pacific and Taipei.", + "output": "" + }, + { + "id": "ez083", + "in": "English", + "out": "Chinese", + "input": "From 1950 to 1973, the number of female secondary school graduates increased by nearly 20 times, while the male increase during the same period was about 15 times.", + "output": "" + }, + { + "id": "ez034", + "in": "English", + "out": "Chinese", + "input": "An annual industrial products exhibition is held in Taipei.", + "output": "" + }, + { + "id": "ez289", + "in": "English", + "out": "Chinese", + "input": "The Taiwan Plastics Industry Association reports that in 1974, due to the energy crisis, the industry experienced its slowest growth. However, since April 1975, the situation has improved, with the export sector recovering and demand for plastic products gradually rising.", + "output": "" + }, + { + "id": "ez092", + "in": "English", + "out": "Chinese", + "input": "Performances such as dragon and lion dances, tightrope walking, stilt walking, sword swallowing, fire breathing, and bare-chested sword fighting all have roots in different periods of Chinese history.", + "output": "" + }, + { + "id": "ez238", + "in": "English", + "out": "Chinese", + "input": "Wen Wu Temple, located on the lakeshore in classic Chinese style, is dedicated to Confucius, the master of literature, and Kuan Yu, the master of martial arts. Two enormous stone lions guard the temple.", + "output": "" + }, + { + "id": "ez298", + "in": "English", + "out": "Chinese", + "input": "The Institute of Information Science at Academia Sinica plays a leading role in promoting Creative Commons licensing in Taiwan. Chuang Tyng-ruey, deputy director of the institute, explains that using a Creative Commons license doesn\u2019t mean relinquishing copyright, but rather allows the creator to maintain control over how their work is shared while enabling communal ownership.", + "output": "" + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/End-To-End-ABSA/annotation.json b/Scope-A/S-A-Quick/nlp/End-To-End-ABSA/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b16e7ad701bc264479bfff0824bd74c5ecb3e840 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/End-To-End-ABSA/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "end_to_end_absa", + "data_source": "ABSA15_restaurants_dataset", + "type": "multi label classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0080", + "input": { + "raw_text": "One would think we'd get an apology or complimentary drinks - instead, we got a snobby waiter wouldn't even take our order for 15 minutes and gave us lip when we asked him to do so.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0300", + "input": { + "raw_text": "Never have I had such dramatic delivery guys (a lot of huffing and panting and muttering under breath b/c I live in a walkup) who always seem disappointed with their tips.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0352", + "input": { + "raw_text": "Our server was very helpful and friendly.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0048", + "input": { + "raw_text": "I was visiting New York City with a friend and we discovered this really warm and inviting restaurant.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0160", + "input": { + "raw_text": "I do not think dinner in Manhattan should cost $400.00 where I am not swept off my feet.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0123", + "input": { + "raw_text": "Our waitress wasn't mean, but not especially warm or attentive either.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0356", + "input": { + "raw_text": "Decor needs to be upgraded but the food is amazing!", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0200", + "input": { + "raw_text": "I had the Lamb special which was perfect.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0422", + "input": { + "raw_text": "The food was delicious (I had a halibut special, my husband had steak), and the service was top-notch.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + }, + { + "id": "0147", + "input": { + "raw_text": "Best. Sushi. Ever.", + "prompt": "<<>>. Extract all aspect-sentiment pairs from this review. Format each pair as 'aspect => sentiment' and separate multiple pairs with commas. Sentiment should be positive, negative, or neutral." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Engineering-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Engineering-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b5b45dc1206528a291a1f288c980e1d93d669498 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Engineering-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Engineering Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "eqa048", + "input": { + "question": "How does the use of materials with different permittivity affect the propagation of electromagnetic waves?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa388", + "input": { + "question": "Why is it important to select the right material for a heat exchanger in a corrosive chemical process?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa020", + "input": { + "question": "How would you assess the cooling performance and thermal efficiency of an air conditioning system?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa015", + "input": { + "question": "What are the environmental benefits of using green chemistry principles in industrial production?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa016", + "input": { + "question": "What is the role of a flow meter in measuring fluid flow in pipelines?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa136", + "input": { + "question": "What tools are typically included in an embedded development toolchain?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa422", + "input": { + "question": "What factors should be considered when selecting environmentally friendly materials for manufacturing?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa302", + "input": { + "question": "What is the role of a bioreactor in the treatment of wastewater?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa288", + "input": { + "question": "Why is monitoring the groundwater table essential in foundation design?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa465", + "input": { + "question": "What is the key objective of traffic demand forecasting in transportation planning?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa235", + "input": { + "question": "If a DC-DC buck converter has an input voltage of 24V and an output voltage of 12V, and the efficiency is 90%, what is the input power if the output power is 30W?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa434", + "input": { + "question": "How does moisture content affect the strength of soil for foundation work?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa477", + "input": { + "question": "What is tensile stress?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa114", + "input": { + "question": "What is the significance of a leakage current test for high-voltage cables?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa211", + "input": { + "question": "What is the function of an overcurrent protection device in electrical systems?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa077", + "input": { + "question": "What are some common methods for improving weak soil for foundation purposes?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa500", + "input": { + "question": "What role does system identification play in adaptive control systems, and how does it improve performance over time?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa068", + "input": { + "question": "What is the role of GPIO pins in embedded systems?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa487", + "input": { + "question": "What does soil stabilization aim to achieve in foundation engineering?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa105", + "input": { + "question": "What is a real-time operating system (RTOS), and why is it important in embedded systems?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa276", + "input": { + "question": "What is the role of a reflux ratio in distillation column operation?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa172", + "input": { + "question": "How is a model predictive controller (MPC) different from a PID controller?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa456", + "input": { + "question": "What is the purpose of a construction schedule in project management?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa177", + "input": { + "question": "What is the significance of damping in the stability of mechanical systems?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa389", + "input": { + "question": "How is the efficiency of a scrubber evaluated for air pollution control?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa457", + "input": { + "question": "How can the consequence analysis of a chemical accident be conducted?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa459", + "input": { + "question": "How do you perform a Failure Modes and Effects Analysis (FMEA) to assess potential risks in a chemical process?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa152", + "input": { + "question": "What role does fracture mechanics play in predicting the life of mechanical components?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa261", + "input": { + "question": "In flood control design, what role does the concept of 'freeboard' play?" + }, + "output": { + "answer": "" + } + }, + { + "id": "eqa003", + "input": { + "question": "When are pile foundations preferred over shallow foundations?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Ethical-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Ethical-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1d8db960ba61100924fa474279024717283103d3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Ethical-Reasoning/annotation.json @@ -0,0 +1,496 @@ +{ + "task": "Ethical Reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "er382", + "input": { + "question": "John would always give the neighbors the middle finger whenever they were around.", + "options": [ + "hostile", + "cordial", + "forgetful", + "self-disciplined", + "ambitious" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er202", + "input": { + "question": "After James' mother made his lunch, he kissed her and expressed his love for her.", + "options": [ + "honest", + "thankful", + "rude", + "malevolent", + "perverted" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er126", + "input": { + "question": "John ignored all the officer\u2019s orders during the battle.", + "options": [ + "traitorous", + "trustworthy", + "outspoken", + "reserved", + "selfless" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er239", + "input": { + "question": "After winning the lottery, he invested all his money.", + "options": [ + "smart", + "mediocre", + "foolish", + "dominant", + "shy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er026", + "input": { + "question": "Reece was frustrated with constantly taking care of her disabled sister.", + "options": [ + "resentful", + "compassionate", + "honest", + "kind", + "feminine" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er111", + "input": { + "question": "Tim asked Mike if he wanted to go on a hike, and Mike agreed.", + "options": [ + "good-natured", + "adventurous", + "domineering", + "mean", + "unfriendly" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er476", + "input": { + "question": "James proudly called himself a once-in-a-generation city councilor.", + "options": [ + "arrogant", + "humble", + "confident", + "self-deprecating", + "modest" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er320", + "input": { + "question": "When faced with a challenge, he always reacts with a childish tantrum.", + "options": [ + "heartless", + "immature", + "skeptical", + "adventurous", + "intelligent" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er087", + "input": { + "question": "I took the kids to the doctor's office, and they remained calm and patient the entire time.", + "options": [ + "empathetic", + "uninterested", + "tolerant", + "charitable", + "impartial" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er299", + "input": { + "question": "James spent the majority of his time creating spreadsheets for work.", + "options": [ + "lazy", + "industrious", + "self-serving", + "disinterested", + "altruistic" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er044", + "input": { + "question": "James was known for never confronting any authority figure.", + "options": [ + "cowardice", + "unforgiving", + "righteous indignation", + "self-reflective", + "audacity" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er472", + "input": { + "question": "I promised my daughter that I would stay with her until we found a solution.", + "options": [ + "committed", + "apathetic", + "disloyal", + "indifferent", + "absent" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er123", + "input": { + "question": "My wife noticed a couple of unfamiliar faces running through our neighborhood.", + "options": [ + "observant", + "absent-minded", + "forgiving", + "reliable", + "self-indulgent" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er212", + "input": { + "question": "The soldier looted the enemy as they were taking their final breaths.", + "options": [ + "immoral", + "honorable", + "humorous", + "persistent", + "brave" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er194", + "input": { + "question": "The office party was filled with classical music and fine wine.", + "options": [ + "tasteless", + "classy", + "faithful", + "philanthropic", + "self-sacrificing" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er013", + "input": { + "question": "James worked forty hours a week as a steelworker.", + "options": [ + "strong", + "friendly", + "humble", + "weak", + "bravery" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er415", + "input": { + "question": "Trina went on stage without wearing pants.", + "options": [ + "tacky", + "classy", + "socially awkward", + "generous", + "reclusive" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er441", + "input": { + "question": "Reece was happy that she was caring for her sister, who had special needs.", + "options": [ + "dedicated", + "compassionate", + "peaceful", + "self-centered", + "resentful" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er346", + "input": { + "question": "Johnny decided to mow the lawn instead of continuing his video game marathon.", + "options": [ + "hardworking", + "lazy", + "self-absorbed", + "shy", + "corrupt" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er407", + "input": { + "question": "At the press conference, Donald delivered his speech without missing a beat.", + "options": [ + "audacious", + "reliable", + "effeminate", + "arrogant", + "apologetic" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er468", + "input": { + "question": "Alison only dated people of a particular race, never stepping outside her comfort zone.", + "options": [ + "prejudiced", + "open-minded", + "judgmental", + "curious", + "neutral" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er283", + "input": { + "question": "Every morning, James took a moment to admire the flowers along his bus route.", + "options": [ + "thoughtful", + "apathetic", + "driven", + "disinterested", + "humble" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er495", + "input": { + "question": "James automatically gave longer jail sentences to African-Americans based on his biases.", + "options": [ + "prejudiced", + "just", + "indecisive", + "gloomy", + "apologetic" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er206", + "input": { + "question": "The house was a mess after the weekend, but I spent the day sleeping.", + "options": [ + "delaying", + "committed", + "reckless with money", + "unfaithful", + "emasculated" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er499", + "input": { + "question": "Carole locked the liquor cabinet before she went away for the weekend, not trusting her roommates.", + "options": [ + "distrustful", + "trusting", + "faithful", + "dishonest", + "caring" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er436", + "input": { + "question": "She went to the theater performance in a simple turtleneck sweater.", + "options": [ + "modest", + "outspoken", + "bold", + "impatient", + "unconventional" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er179", + "input": { + "question": "The mechanic demanded more money, even though he had overcharged the initial price.", + "options": [ + "dishonest", + "honest", + "anorexic", + "down-to-earth", + "effeminate" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er454", + "input": { + "question": "When Susie was caught stealing gum, she admitted it immediately.", + "options": [ + "truthful", + "deceptive", + "dishonest", + "apathetic", + "evasive" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er125", + "input": { + "question": "I invited my friend Chris to a party, and he sat quietly in the corner.", + "options": [ + "shy", + "cynical", + "outgoing", + "dishonest", + "cowering" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "er215", + "input": { + "question": "James kept to himself during the first meeting of his study group.", + "options": [ + "unreliable", + "aloof", + "reasonable", + "disorderly", + "lighthearted" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Event-Coreference-Resolution/annotation.json b/Scope-A/S-A-Quick/nlp/Event-Coreference-Resolution/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9088e06a488a225f10e39342f7c49bad2d11c64e --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Event-Coreference-Resolution/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "event_coreference_mcq", + "data_source": "event_coref_dataset", + "type": "multiple choice", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "test_0344", + "input": { + "raw_text": "\n \n\nVerdicts From Nov. 21 Trial (Assault On apostle Bethel)\nLORD we thank YOU that YOU said, \"All who live GODLY in CHRIST JESUS shall suffer persecutions.\" \u00bb More From Today's Mobile Register\n\u00bb News\n\nMan acquitted of assault on preacher\n\nVictim, however, found guilty of harassing a woman a week before funeral melee\n\n11/22/02\n\nBy BRENDAN KIRBY\nStaff Reporter\n\nBAY MINETTE -- A Baldwin County judge Thursday acquitted a man implicated in a funeral brawl last summer, but convicted the victim of that beating -- a minister -- of harassing a woman a week earlier. The melee broke out in June when relatives gathered in Loxley for the funeral of Lish Taylor charged the pulpit and dragged Orlando Bethel outside Pine Grove Baptist Church.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"convicted\", 616, 9, \"convict\"] -> [\"guilty\", 406, 6, \"convict\"]\nB. [\"melee\", 456, 5, \"acquit\"] -> [\"brawl\", 593, 5, \"attack\"]\nC. [\"melee\", 456, 5, \"attack\"] -> [\"brawl\", 593, 5, \"attack\"]\nD. [\"guilty\", 406, 6, \"convict\"] -> [\"acquitted\", 349, 9, \"acquit\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0173", + "input": { + "raw_text": "\n\nU.N. HUMAN RIGHTS CHIEF CONDEMNS MASS EXECUTIONS IN IRAQ\n\n\n

\nThis article is part of TIMES EXPRESS. It is a condensed version of a story that will appear in tomorrow\u2019s New York Times. );\n

\n

\nGENEVA - The U.N. human rights chief, Navi Pillay, on Friday condemned Iraq\u2019s execution of 42 prisoners over two days this week, denouncing such mass executions as \u201cobscene and inhuman\u201d and warning that they undermined efforts to reduce violence and achieve a more stable society.

\n

\nIraq\u2019s justice system is \u201ctoo deeply flawed to warrant even a limited use of the death penalty, let alone dozens of executions at a time,\u201d Pillay said in a statement released in Geneva, repeating a view she has expressed on several occasions.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"execution\", 464, 9, \"die\"] -> [\"executions\", 792, 10, \"die\"]\nB. [\"execution\", 464, 9, \"execute\"] -> [\"executions\", 792, 10, \"die\"]\nC. [\"executions\", 792, 10, \"execute\"] -> [\"execution\", 464, 9, \"execute\"]\nD. [\"EXECUTIONS\", 210, 10, \"execute\"] -> [\"executions\", 792, 10, \"die\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0095", + "input": { + "raw_text": "\n\nEX-PRESIDENT OF GUATEMALA IS SENT TO U.S. TO FACE TRIAL\n\n\n

\nMEXICO CITY - Guatemalan officials rousted an imprisoned former president Friday and put him on a plane to the U.S. to face long-pending corruption charges.

\n

\nThe extradition of the former president, Alfonso Portillo, who had fought being sent to the U.S. for two years, caught much of Guatemala by surprise and came amid complaints about the country\u2019s willingness to attack impunity among elites.

\n

\nThe extradition followed a high court decision this week to annul a genocide verdict against a former dictator, Gen. Efra\u00edn R\u00edos Montt, who had been convicted of trying to annihilate an indigenous group during Guatemala\u2019s nearly four-decade civil war, which ended in 1996.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"plane\", 349, 5, \"transportperson\"] -> [\"extradition\", 669, 11, \"transportperson\"]\nB. [\"extradition\", 669, 11, \"extradite\"] -> [\"sent\", 497, 4, \"transportperson\"]\nC. [\"extradition\", 669, 11, \"transportperson\"] -> [\"extradition\", 669, 11, \"extradite\"]\nD. [\"former\", 760, 6, \"endposition\"] -> [\"plane\", 349, 5, \"transportperson\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0296", + "input": { + "raw_text": "\n \n\nYoucef Nadarkhani Executed: Christian Pastor Hanged in Iran for Being Christian\nIran, War on Terror Add comments\nMar\n03\n2012\n\nYoucef Nadarkhani has been executed in Iran. He is the Christian pastor who has been imprisoned and found guilty by the courts in Iran of being a Christian. Now he\u0092s been executed in spite of international appeals to spare his life. He was hanged today. Youcef Nadarkhani Executed: Christian Pastor Hanged in Iran for Being Christian\n\n\nThis remains unconfirmed and so, hope still lives. Newsmax says he is still alive and other sources report his death is as yet unconfirmed. Continue to pray for his release, for his family and community and for other believers in Iran and other Islamic countries.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"Executed\", 151, 8, \"execute\"] -> [\"Hanged\", 178, 6, \"execute\"]\nB. [\"hanged\", 499, 6, \"die\"] -> [\"executed\", 430, 8, \"execute\"]\nC. [\"executed\", 286, 8, \"die\"] -> [\"Hanged\", 601, 6, \"die\"]\nD. [\"Hanged\", 601, 6, \"execute\"] -> [\"Hanged\", 178, 6, \"execute\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0068", + "input": { + "raw_text": "\n \n\nBBC News - Dubai rape case Norwegian woman 'free to go'\n\n\n\n\n\n\n\nWell now that she's free, justice has been served. \n\nI'm assuming that's sarcasm. Thirteen months is pretty thin \"justice\" for rape. \n\nThanks for starting this thread - the last one has degenerated into a christianity vs islam thing. Anyhow - so nice of the Dubai government to pardon a rape victim for being raped isn't it? How messed up is that way of thinking! \n\nWell, I am glad she is going to get out of there. Still the pardon suggests she was guilty of something and she wasn't.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"rape\", 212, 4, \"attack\"] -> [\"pardon\", 937, 6, \"pardon\"]\nB. [\"rape\", 733, 4, \"attack\"] -> [\"raped\", 755, 5, \"attack\"]\nC. [\"raped\", 755, 5, \"attack\"] -> [\"rape\", 212, 4, \"attack\"]\nD. [\"pardon\", 724, 6, \"pardon\"] -> [\"free\", 239, 4, \"releaseparole\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0127", + "input": { + "raw_text": "\n \n\nSource: Associated Press\n\nUS court sentences former president of Guatemala to prison for taking bribes\n\n\u0095 Alfonso Portillo took $2.5m from Taiwan to recognise nation\n\u0095 American judge sentences extradited Portillo to six years\n\nAssociated Press in New York\ntheguardian.com, Thursday 22 May 2014 17.09 EDT\n\nGuatemala's ex-president was sentenced Thursday to nearly six years in prison for accepting bribes, as a US judge rejected leniency and said government corruption must be stamped out worldwide. The $2.5m in bribes Alfonso Portillo admitted accepting from the government of Taiwan to continue to recognize the Asian nation diplomatically should be \"bothersome to the government of Guatemala and all the other countries in the United Nations convention against corruption,\" US district judge Robert P Patterson said.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"took\", 255, 4, \"transfermoney\"] -> [\"accepting\", 678, 9, \"transfermoney\"]\nB. [\"ex\", 449, 2, \"endposition\"] -> [\"took\", 255, 4, \"transfermoney\"]\nC. [\"prison\", 508, 6, \"arrestjail\"] -> [\"taking\", 221, 6, \"transfermoney\"]\nD. [\"former\", 177, 6, \"endposition\"] -> [\"sentences\", 315, 9, \"sentence\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0295", + "input": { + "raw_text": "\n\nOBAMA DEFIES CRITICS WITH STATE DEPARTMENT CHOICE\n\n\n

\nWASHINGTON - President Barack Obama defied Republican critics Thursday by nominating to a high-ranking State Department job an official involved in editing controversial talking points about the attack last year in Libya.

\n

\nObama sent the Senate his choice of Victoria Nuland, a former spokeswoman for the State Department, as assistant secretary for European and Eurasian affairs. Nuland had long been in line for the position, but some had questioned whether the nomination would go forward after drafts of the talking points became public.

\n

\nNuland suggested revisions to talking points prepared by the CIA after the terrorist attack that killed four Americans at the diplomatic post in Benghazi, Libya, on Sept. 11.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"talking\", 415, 7, \"contact\"] -> [\"nomination\", 717, 10, \"nominate\"]\nB. [\"choice\", 502, 6, \"nominate\"] -> [\"nomination\", 717, 10, \"nominate\"]\nC. [\"talking\", 415, 7, \"attack\"] -> [\"talking\", 834, 7, \"contact\"]\nD. [\"talking\", 415, 7, \"contact\"] -> [\"talking\", 834, 7, \"contact\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0297", + "input": { + "raw_text": "\n\nSTUDENT FATALLY SHOT DURING HOME INVASION NEAR HOFSTRA\n\n\n

\nA 21-year-old college student was shot and killed early Friday on Long Island after an armed man broke into the home she shared with her twin sister, held her hostage and then engaged in a gunbattle with police, authorities said. The man who forced his way into the home was also killed.

\n

\nIt was not immediately clear who fired the fatal shots, police said.

\n

\nThe violence played out in the middle of the night on an ordinarily quiet residential street, only blocks from Hofstra University, where the victim went to school. Students who were preparing for their last day of exams awoke to the news that one of their own had been killed.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"victim\", 766, 6, \"die\"] -> [\"gunbattle\", 439, 9, \"attack\"]\nB. [\"FATALLY\", 180, 7, \"die\"] -> [\"killed\", 293, 6, \"die\"]\nC. [\"gunbattle\", 439, 9, \"attack\"] -> [\"shot\", 284, 4, \"attack\"]\nD. [\"violence\", 629, 8, \"attack\"] -> [\"shot\", 284, 4, \"attack\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0298", + "input": { + "raw_text": "\n \n\nMy partner is always coming up with brilliant money making ideas,,inventions etc. If any of them were available to buy,I'm sure they'd sell really well, it's just how do you get from the idea stage to the getting it on the shop shelves stage? without someone ripping you off along the way. He has recently invented a really simple kids toy, he's made a prototype,and we as a family have been happily playing with it for the last few days.It would cost pennies to produce and would retail around \u00a33.And could easily the next latest craze. So what to we do?? Apart from going on the Dragons den,how do you do it? We are both quite shy and not confident business people,have no money to invest in the idea,and it would probably be easily ripped off.But he thinks it could be the simple idea he needs to turn us into millionaires(well you have to dream dont you!) Any ideas?", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"buy\", 244, 3, \"transferownership\"] -> [\"sell\", 264, 4, \"transferownership\"]\nB. [\"buy\", 244, 3, \"transferownership\"] -> [\"buy\", 244, 3, \"transfermoney\"]\nC. [\"buy\", 244, 3, \"transfermoney\"] -> [\"sell\", 264, 4, \"transfermoney\"]\nD. [\"buy\", 244, 3, \"transferownership\"] -> [\"sell\", 264, 4, \"transfermoney\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "test_0116", + "input": { + "raw_text": "\n\nVALEANT TO BUY BAUSCH &amp; LOMB FOR $8.7 BILLION\n\n\n

\nBausch & Lomb, the eye care company, agreed Monday to sell itself to Valeant Pharmaceuticals International of Canada for about $8.7 billion, sidestepping the lengthier process of an initial public offering.

\n

\nUnder the terms of the deal, Valeant will pay $4.5 billion to the investor group that owns Bausch & Lomb, led by the private equity firm Warburg Pincus. It will also spend about $4.2 billion to repay Bausch & Lomb\u2019s debt.

\n

\nThe deal continues the flurry of deal-making in the health care industry, as companies seek to buy the growth they are hard-pressed to generate on their own.", + "prompt": "<<>>\n\nWhich pair of events refers to the same event (are coreferential) in the text?\n\nA. [\"pay\", 512, 3, \"transfermoney\"] -> [\"BUY\", 183, 3, \"transfermoney\"]\nB. [\"deal\", 713, 4, \"transaction\"] -> [\"repay\", 668, 5, \"transfermoney\"]\nC. [\"repay\", 668, 5, \"transfermoney\"] -> [\"pay\", 512, 3, \"transfermoney\"]\nD. [\"deal\", 713, 4, \"transaction\"] -> [\"spend\", 640, 5, \"transfermoney\"]\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Event-Trigger-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Event-Trigger-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..896b1868c547d778d7bbab5076a5bec364070679 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Event-Trigger-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "event_trigger_detection", + "data_source": "ACE_2005", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "test_0227", + "input": { + "raw_text": "

\n

\nThe cause was a brain stroke at a hospital, according to a statement from his spokesman.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0238", + "input": { + "raw_text": "

\n

\nZara takes an extra step in getting daily feedback from its many stores.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0198", + "input": { + "raw_text": "

\n

\nPearson said that while integrating Bausch & Lomb would take some time, Valeant will continue to pursue what he described as smaller \u201ctuck in\u201d acquisitions.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0427", + "input": { + "raw_text": "\u0093I can\u0092t name them but we were waiting for the NDP nomination to get over to see who they picked.\u0094\n\nhttp://www.theglobeandmail.com/news/politics/ottawa-notebook/liberals-hold-cards-close-to-chest-in-laytons-riding-for-now/article2297933/\n\n", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0377", + "input": { + "raw_text": "

\n

\nThe letter also asks about efforts to monitor market \u201cmanipulation.\u201d Earlier this year, FINRA said in an annual report that it was concerned about high-speed trading strategies that are \u201cused for manipulative purposes.\u201d\n

\n\n", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0320", + "input": { + "raw_text": "It was fun to build and the instructions were easy to follow.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0152", + "input": { + "raw_text": "

\n

\nWhile largely procedural, the decision highlighted the swirl of legal questions surrounding Dookhan-related cases, which have flooded the judicial system and led to the release of hundreds of defendants, more than 300 from state prisons and more from county facilities.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0069", + "input": { + "raw_text": "In 2002, elders in the southern Punjab village of Meerwala decreed that Mukhtar Mai, 30 at the time, should be raped in retaliation for her 13-year-old brother's alleged relationship with a woman from a wealthier family.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0148", + "input": { + "raw_text": "

\n

\nHerbert Kappler, the Gestapo chief in Rome, ordered the deaths of 10 Italians for every dead policeman.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + }, + { + "id": "test_0433", + "input": { + "raw_text": "Xinhua, the state news agency, said Thursday that the local family planning committee would release the results of its investigation into Zhang soon.", + "prompt": "<<>>. Identify all event trigger words in the text and their corresponding event types. The possible event types are: business:declarebankruptcy, business:endorg, business:mergeorg, business:startorg, conflict:attack, conflict:demonstrate, contact:broadcast, contact:contact, contact:correspondence, contact:meet, justice:acquit, justice:appeal, justice:arrestjail, justice:chargeindict, justice:convict, justice:execute, justice:extradite, justice:fine, justice:pardon, justice:releaseparole, justice:sentence, justice:sue, justice:trialhearing, life:beborn, life:die, life:divorce, life:injure, life:marry, manufacture:artifact, movement:transportartifact, movement:transportperson, personnel:elect, personnel:endposition, personnel:nominate, personnel:startposition, transaction:transaction, transaction:transfermoney, transaction:transferownership. Format: trigger => type, multiple triggers should be separated by commas" + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Extractive-Summarization/annotation.json b/Scope-A/S-A-Quick/nlp/Extractive-Summarization/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..937bd98590c24bd74e77a8d5d84294f8c891871b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Extractive-Summarization/annotation.json @@ -0,0 +1,86 @@ +{ + "task": "Extractive Summarization", + "type": "Summarization", + "version": "1.0", + "data": [ + { + "id": "AS195", + "document": "Jason Dufner and his wife Amanda have finalized their divorce, with the settlement agreed at the end of March. The couple, who married in 2012, had separated earlier in February. Amanda cited an 'irretrievable breakdown' in the marriage, leading to the decision to part ways. As part of the divorce, Amanda has been awarded $2.5 million, while Dufner will retain ownership of two properties the couple owned. Dufner, who has struggled with a neck injury this season, has had a difficult year, with only one top 10 finish in eight starts. His next appearance is scheduled for the Masters in April.", + "output": { + "highlights": "" + } + }, + { + "id": "AS448", + "document": "With just over two weeks left until their highly anticipated $300 million fight, Floyd Mayweather and Manny Pacquiao have showcased their fit physiques. The fight, scheduled for May 2 at the MGM Grand in Las Vegas, is being touted as the biggest in boxing history. Pacquiao has been actively posting photos of his toned body, emphasizing that he is in the best shape of his life. In one of his recent Instagram posts, he stated, '16 days to go. I'm ready to get it on. #MayPac.' Meanwhile, Mayweather, who is set to earn an estimated $180 million from the fight, has also been promoting the event, confident that he will maintain his undefeated record.", + "output": { + "highlights": "" + } + }, + { + "id": "AS316", + "document": "Arsenal should make a move for Chelsea goalkeeper Petr Cech if he decides to leave Stamford Bridge, according to former player Carlo Cudicini. Cech has made only five Premier League appearances this season, with Thibaut Courtois being Chelsea's preferred goalkeeper. Cudicini believes the 32-year-old Czech international would be a good replacement for Wojciech Szczesny at Arsenal. Although Chelsea wants at least \u00a310 million for Cech, a move to a direct rival like Arsenal seems plausible. Cech, who has expressed his desire not to be a backup to Courtois for another season, could be a strong addition to Arsenal's squad.", + "output": { + "highlights": "" + } + }, + { + "id": "AS435", + "document": "Saracens have confirmed that Argentina's Marcelo Bosch has extended his contract with the club at Allianz Park. Bosch, 31, played a crucial role in their European Champions Cup quarter-final victory over Racing Metro just over a week ago, securing a 12-11 win with a last-minute penalty kick in Paris. The 33-cap international joined Saracens from Biarritz in 2013. Bosch's contract extension follows recent renewals for locks George Kruis and Maro Itoje. Saracens rugby director Mark McCall commented, 'Marcelo has been dedicated since joining in October 2013. He has made remarkable improvements in his game and is always striving to get better.' McCall added that what impresses the club most is Bosch's renewed passion for the game, along with his relentless drive and hunger to improve.", + "output": { + "highlights": "" + } + }, + { + "id": "AS487", + "document": "Shay Given will continue as Aston Villa's starting goalkeeper for the FA Cup final against Arsenal, putting pressure on Brad Guzan for the No. 1 spot in the Premier League. Guzan, who was left out of the semi-final against Liverpool, accepted manager Tim Sherwood's decision, understanding Given's strong performances in the competition. Sherwood is now facing a decision about his future goalkeeper choices, with Given's form forcing him to consider the veteran for Premier League matches. Villa's FA Cup journey continues after their semi-final victory over Liverpool.", + "output": { + "highlights": "" + } + }, + { + "id": "AS166", + "document": "Carlisle United's manager Keith Curle was highly critical of his team's performance after their 3-1 defeat at Accrington Stanley. Curle, whose side is struggling in League Two with no wins in their last five games, suggested that some players did not deserve to be professionals. He criticized the lack of spirit in the squad and warned that unless the players took responsibility, the team could face another relegation. Curle even proposed the idea of an open forum where fans could voice their opinions directly to the players. Carlisle, relegated from League One last season, are at risk of dropping out of the Football League this term.", + "output": { + "highlights": "" + } + }, + { + "id": "AS312", + "document": "Ben Stokes thought he had claimed his 23rd Test wicket when Jermaine Blackwood edged his short delivery to Alastair Cook at slip, but the Durham all-rounder had overstepped the crease. This denied Stokes what would have been his fifth wicket of the day in Antigua. It was a familiar situation for Stokes, as he was also denied his first Test wicket against Australia in Adelaide in 2013 for overstepping. After Stokes celebrated prematurely, replays showed that his foot was over the line. Commentary from Michael Vaughan, who was speaking on BBC's Test Match Special, suggested that Stokes should revert to his natural style of fast, short spells, as he has performed best in that manner. Jonathan Agnew, Vaughan's colleague, noted that England may regret missing the opportunity to dismiss Blackwood.", + "output": { + "highlights": "" + } + }, + { + "id": "AS107", + "document": "A Lamborghini sports car crashed at Walt Disney World Speedway on Sunday, killing a passenger and injuring the driver. The crash took place at the Exotic Driving Experience event, where people can drive high-performance cars on a racetrack. The driver lost control of the Lamborghini, resulting in the death of 36-year-old passenger Gary Terry. The driver, 24-year-old Tavon Watson, suffered minor injuries. The company running the event, Petty Holdings, expressed deep sympathy for those affected by the incident.", + "output": { + "highlights": "" + } + }, + { + "id": "AS303", + "document": "A 3.1 magnitude earthquake hit just north of Los Angeles, causing a sharp jolt to be felt across the San Fernando Valley. The earthquake, which struck around 9 pm, had a depth of five miles and was centered near San Fernando, close to Interstate 210. While the quake was felt widely in the region, there were no reports of damage or injuries. This tremor followed a 3.5 magnitude earthquake that hit Baldwin Hills three days earlier. Los Angeles residents are accustomed to small tremors due to the city's location along multiple fault lines.", + "output": { + "highlights": "" + } + }, + { + "id": "AS078", + "document": "Betty Whitehead Willis, the designer of the iconic \"Welcome to Fabulous Las Vegas\" sign, passed away over the weekend at the age of 91. Willis played a key role in creating some of the most recognizable neon signs in Las Vegas. She also designed signs for the Moulin Rouge Hotel and Blue Angel Motel. Although Willis never trademarked her famous sign, calling it \"my gift to the city,\" her design remains an enduring symbol of Las Vegas, appearing on everything from T-shirts to magnets. Willis celebrated her 90th birthday at the Neon Museum in 2013, and her contributions to the city's neon art are celebrated there.", + "output": { + "highlights": "" + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Fact-Verification/annotation.json b/Scope-A/S-A-Quick/nlp/Fact-Verification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..43c8fc94c728f64b9aec6b3dbbdc0d8123e7eb92 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Fact-Verification/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "fact_verification", + "data_source": "fact_verification_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0400", + "input": { + "raw_text": "A minor inconvenience, but I don't think it would have been a terribly hard feature to add.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0081", + "input": { + "raw_text": "I wanted stretch material and with just enough lace to give a dressier look rather than too casual but I did not want an overabundance of lace and I did not want it to pucker at the top with lace that is really wide across the chest.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0229", + "input": { + "raw_text": "Should have gone in for one size lesser but the shorts is just phenomenal.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0069", + "input": { + "raw_text": "I will get her a one size fits all or a large since that would be more adjustable to her frame.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0022", + "input": { + "raw_text": "Many of the scenarios would make me question the authors intent for putting it in the book, but then it would come together and would be clear.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0446", + "input": { + "raw_text": "I have NO idea what could have happened -- maybe the maker switched manufacturers, I don't know.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0073", + "input": { + "raw_text": "I bought this curtain thinking it would be just a simple inexpensive curtain that will do the job.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0052", + "input": { + "raw_text": "They were the right size, work well and were a fraction of what I would have paid for retail.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0121", + "input": { + "raw_text": "Brevity instead overly long discertations would be an improvement.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0238", + "input": { + "raw_text": "I wish we could have found something a little more kick a** girly but these are great.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0275", + "input": { + "raw_text": "The item arrived in two days without upgraded shipping.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0488", + "input": { + "raw_text": "This was my first try at fake plants/flowers outside, and I thought it would be okay since it says it is for home & garden.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0353", + "input": { + "raw_text": "I have these speakers as my rear surrounds on a 5.1 system and I couldn't be happier with them.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0090", + "input": { + "raw_text": "Great sound, way better than I thought it would be.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0133", + "input": { + "raw_text": "IT CAME WITH SOME DAMAGE SO CASES DID NOT CLOSE AND SO WERE BROKEN.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0376", + "input": { + "raw_text": "I had not really paid attention to the fact that it is printed on some sort of fabric, but I don't mind that.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0291", + "input": { + "raw_text": "This is a must read, and you won't want to put it down.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0091", + "input": { + "raw_text": "It works almost as well as a vacuum, but it doesn't always pick up everything.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0118", + "input": { + "raw_text": "I can finally bend over without any plumber's crack issues.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0042", + "input": { + "raw_text": "The best part is the price of this device at a bit less that 30 bucks it feels like I got the same sound improvement I would have had if I spent 300+ dollars on headphones.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0451", + "input": { + "raw_text": "(It was a great read 37+81+8=>1), i wanted a quick and intellectual read.. for refreshing ,brushing away the dust ,and up .. saw, auto-correct^2, na Haha", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0433", + "input": { + "raw_text": "\"The material used will catch on jewelry and any rough/dry skin and snag so a person must be \\\\\\\\\\extremely careful\\\\\\\\\\\"\" wearing or handling this !!!\"\"\"", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0380", + "input": { + "raw_text": "It felt more like a band-aid to try and bond two of the characters and should have been more impactful.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0094", + "input": { + "raw_text": "Haven't put the water resistance to the test.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0301", + "input": { + "raw_text": "My two gripes: it doesn't run very long on each charge (particularly when using the Max power setting); the dust bin is small and needs to be emptied frequently especially when used on carpets.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0385", + "input": { + "raw_text": "Very good novel, however the novel needed some editing because of the misspelled words.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0457", + "input": { + "raw_text": "Although, I do feel those should be things a man does in the home anyway, and not just when he wants sex.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0234", + "input": { + "raw_text": "I thought this brush would be great...my last one from OXO lasted a few years.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0113", + "input": { + "raw_text": "Eric is as faithful to Laney as ever, even when she doesn't want him around.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0137", + "input": { + "raw_text": "I love rompers, but it's difficult for me to wear a lot of them without my bra showing all over the place, so I got excited when I saw this romper.", + "prompt": "<<>>. Classify if this statement is factual or counterfactual. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Fairytale-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Fairytale-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d2d32b606babfa3f01f72df8613e9c8c654a810f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Fairytale-Question-Answering/annotation.json @@ -0,0 +1,436 @@ +{ + "task": "Fairytale Question Answering", + "type": "OpenQA", + "version": "1.0", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "fqa321", + "input": { + "story_name": "the-false-prince-and-the-true", + "context": "The young man raised his gaze as if to answer, but the king would not listen and instructed the guards to arrest him. However, he was allowed to visit any part of the city, as long as he was accompanied by proper guards. In fifteen days, he would face trial before the highest judges in the kingdom. The young man left the king\u2019s presence, surrounded by soldiers and many of his friends, as he was quite popular. Following their counsel, he spent the next fourteen days seeking advice from wise men to figure out how he could avoid death, but none could offer him any justification for striking the prince. As the fourteenth night arrived, filled with despair, the prisoner went for a final walk through the city. He wandered without direction, his face pale and full of fear, and none of his companions dared to speak with him. After several hours of wandering, an old woman suddenly appeared near the gate of a monastery. She was hunched over, looking as though she was ninety years old, though her lively eyes suggested youthfulness.", + "question": "Why did the young man seek advice from wise men?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa388", + "input": { + "story_name": "whippety-stourie", + "context": "\"Madam,\" she said, her voice trembling, \"I welcome you to the house of Kittlerumpit, though I am one of the most unfortunate women in the world.\" \"Hush, hush,\" the old woman retorted in a sharp tone, making the widow flinch and clutch her baby closer. \"There's no need to say that. Yes, you\u2019ve lost your husband, but there have been greater tragedies, like at Sherramuir. And now your pig is dying\u2014perhaps I can help with that. But first, I must know what you are willing to give me in exchange for saving it.\" \"Anything your ladyship desires,\" the widow replied, too relieved that the pig might be saved to think about her reckless promise. \"Very well,\" said the old woman, and without further delay, she walked into the pigsty.", + "question": "Why did the widow make an impulsive promise?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa095", + "input": { + "story_name": "alleleiraugh-or-the-many-furred-creature", + "context": "it happened once when a great feast was being held in the palace , that she said to the cook , ' can i go upstairs for a little bit and look on ? i will stand outside the doors . ' the cook replied , ' yes , you can go up , but in half - an - hour you must be back here to sweep up the ashes . ' then she took her little oil - lamp , and went into her little room , drew off her fur cloak , and washed off the soot from her face and hands , so that her beauty shone forth , and it was as if one sunbeam after another were coming out of a black cloud . then she opened the nut , and took out the dress as golden as the sun . and when she had done this , she went up to the feast , and everyone stepped out of her way , for nobody knew her , and they thought she must be a king 's daughter . but the king came towards her and gave her his hand , and danced with her , thinking to himself , ' my eyes have never beheld anyone so fair ! ' when the dance was ended , she curtseyed to him , and when the king looked round she had disappeared , no one knew whither . the guards who were standing before the palace were called and questioned , but no one had seen her . when the many - furred creature came , the king asked her who she was . ' i am a poor child without father or mother . ' then he asked her , ' what do you do in my palace ? ' ' i am of no use except to have boots thrown at my head . ' ' how did you get the ring which was in the soup ? ' he asked . ' i know nothing at all about the ring , ' she answered . so the king could find out nothing , and was obliged to send her away . after a time there was another feast , and the many - furred creature begged the cook as at the last one to let her go and look on . he answered , ' yes , but come back again in half - an - hour and cook the king the bread - soup that he likes so much . ' so she ran away to her little room , washed herself quickly , took out of the nut the dress as silver as the moon and put it on . then she went upstairs looking just like a king 's daughter , and the king came towards her , delighted to see her again , and as the dance had just begun , they danced together . ", + "question": "what will the king do with the beautiful maiden when he sees her again ?", + "local_or_sum": "summary", + "attribute": "prediction", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa266", + "input": { + "story_name": "the-dwarfie-stone", + "context": "His face was flushed with anger, and his eyes sparkled, for he couldn\u2019t ignore that, now that Lady Morna was safe under her true love\u2019s care at Orphir, her attitude toward him had turned cold and distant again. He was starting to doubt the effectiveness of Snorro the dwarf's potion. Filled with rage and disappointment, he went to his mother's room to vent his frustration. However, he froze when he spotted the exquisite waistcoat lying on the table, glittering with gold, silver, and radiant colors. It resembled a magical garment, and its beauty left him breathless.", + "question": "Why did Harold become angry after his mother spoke?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa216", + "input": { + "story_name": "the-dwarfie-stone", + "context": "She consented without hesitation. Burying her flushed face in his shoulder, she admitted that she had been in love with him from the moment she first saw him. Since that day, she had resolved that if she could not marry him, she would never marry anyone else. For a while, they sat together, basking in their newfound happiness. Then, Earl Paul stood up. \"Let us share this wonderful news with my mother and brother,\" he said. \"Harold may feel disappointed at first, as I know, my dear, he would have liked to marry you. But his good heart will soon accept it, and he will rejoice with us as well.\" However, Lady Morna shook her head. She knew better than Paul how Harold would react, and she wished to delay the unpleasant moment.", + "question": "What did Paul intend to do after Lady Morna accepted his proposal?", + "local_or_sum": "local", + "attribute": "action", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa229", + "input": { + "story_name": "the-dwarfie-stone", + "context": "Countess Fraukirk, having been concealed behind a curtain, overheard every word exchanged. The following morning, a boat swiftly crossed the narrow channel separating Pomona, on the mainland, from Hoy. A woman sat inside, her identity a mystery to onlookers as she was fully cloaked in black, her face obscured by a thick veil. Even before she revealed herself, Snorro the Dwarf recognized her. Countess Fraukirk was no stranger to him, for over the years, she had frequently turned to him for help with her dark schemes, paying him handsomely in gold. He greeted her warmly, though his expression grew serious when he understood the nature of her request. \"I have assisted you before, my lady,\" he said, \"but this task seems beyond my courage. To orchestrate the death of an earl, especially one as beloved as Earl Paul, is no small matter.\" \"You know why I live in this desolate place, seeking the magic carbuncle. You also know how the people fear and despise me. If Earl Paul were to die and suspicion fell on me, I would be forced to flee the island. My life would be worthless, and my chances of success would vanish. I cannot do it, Snorro. I simply cannot.\" But the cunning Countess offered him vast sums of gold and continued to tempt him with greater rewards, promising him wealth, success, and even a prestigious position at the Scottish king\u2019s court. Finally, his ambition overcame his reluctance, and he agreed to do her bidding. \"I will summon my enchanted loom,\" he said, \"and weave a fabric of extraordinary beauty. Before I weave it, I will poison the thread with a magic brew so that whoever wears the garment will die within moments.\" \"You are indeed a clever rogue,\" she said with a cruel smile, \"and you shall be richly rewarded. Provide me with a few yards of this enchanted cloth, and I will make a fine waistcoat for my young earl, presenting it to him as a Yuletide gift. He will not live to see the New Year.\" \"Indeed, he will not,\" Snorro replied with a malicious grin. The two parted after agreeing to deliver the cloth to the Orphir palace the day before Christmas Eve.", + "question": "What did Countess Fraukirk do after Snorro the Dwarf initially refused to help her?", + "local_or_sum": "summary", + "attribute": "prediction", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa274", + "input": { + "story_name": "the-dwarfie-stone", + "context": "Alas! Hardly had he entered the hall when he collapsed in severe pain. A crowd gathered around him, and the two countesses, now horrified by their actions, struggled in vain to remove the enchanted vest from his body. But Harold sensed that it was already too late\u2014the lethal poison had taken effect. Waving them off, he turned to his brother, who, in deep distress, had knelt and gently held him in his arms. \"I have wronged you, Paul,\" he whispered. \"You have always been faithful and kind. Please forgive me in your heart, and,\" he added, summoning his remaining strength for a final effort, pointing at the two wretched women responsible for all this sorrow, \"beware of these two women, for they seek your life.\" His head then sank back against his brother's shoulder, and with a final sigh, he passed away. Upon discovering what had occurred and realizing the origin and purpose of the waistcoat, the silent earl's fury knew no limits. He vowed vengeance, not only on Snorro the dwarf but also on his wicked stepmother and her cruel sister.", + "question": "How did Paul feel after learning the truth about his brother's death?", + "local_or_sum": "local", + "attribute": "feeling", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa056", + "input": { + "story_name": "alleleiraugh-or-the-many-furred-creature", + "context": "Once there was a king who had a wife with golden locks of hair, and she was so stunning that there was no one in the world who could compare to her. She fell ill, and feeling that her death was near, she called for the king and said, 'If you marry after my death, do not make anyone queen unless she is as beautiful as I was, and has the same golden hair as mine. Promise me this.' After the king promised, she closed her eyes and passed away. The king was deeply saddened and did not consider remarrying for a long time. Finally, his advisors said, 'The king must take a new wife so that we can have a queen.' Messengers were sent to search far and wide for a bride who matched the late queen's beauty. But they found no one, and even if they did, no one had such golden hair. So, the messengers returned without finding a queen.", + "question": "Why were the messengers sent to far-off lands?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa218", + "input": { + "story_name": "the-dwarfie-stone", + "context": "She consented without hesitation. Burying her flushed face in his shoulder, she admitted that she had been in love with him from the moment she first saw him. Since that day, she had resolved that if she could not marry him, she would never marry anyone else. For a while, they sat together, basking in their newfound happiness. Then, Earl Paul stood up. \"Let us share this wonderful news with my mother and brother,\" he said. \"Harold may feel disappointed at first, as I know, my dear, he would have liked to marry you. But his good heart will soon accept it, and he will rejoice with us as well.\" However, Lady Morna shook her head. She knew better than Paul how Harold would react, and she wished to delay the unpleasant moment. As it happened, during the time the Countess Fraukirk was away on her deceitful mission, strange events unfolded at the Kirkwall castle. Encouraged by his brother's absence, Harold once again proposed to Lady Morna. She refused him once more, and to ensure the scene would not repeat, she told him that she had already pledged her heart to Paul. Upon hearing this, Harold's rage was unbearable. Enraged, he stormed away from her presence, mounted his horse, and sped toward the shore. While riding furiously, his gaze fell on the snow-covered hills of Hoy, visible across the stretch of sea that separated the islands. His mind immediately turned to Snorro the Dwarf, whom he had visited previously, as had his step-aunt. \"That's it!\" he exclaimed. \"Why didn't I think of this sooner? I will go to Snorro and buy a love potion from him to make Lady Morna despise my brother and turn her affection towards me!\"", + "question": "Why didn't Lady Morna want to inform Harold about her engagement to Paul?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa477", + "input": { + "story_name": "the-sea-king-gift", + "context": "Matte was confused. He had never read *Kalevala* and didn\u2019t know anything about the old sea gods, but the students began to explain. 'Ahti,' they said, 'is a great king who rules over his domain of Ahtola and has a treasure buried beneath the ocean. He commands all the fish and creatures of the deep; he owns the finest cows and the fastest horses that graze on the sea floor. Anyone who earns Ahti\u2019s favor will soon become rich, but one must be cautious when dealing with him, for he is unpredictable and easily offended. Even a small stone thrown into the water could provoke him, and when he revokes his gift, he causes a violent storm and drags sailors to the depths. Ahti also has the fairest maidens who serve his queen Wellamos and comb their long, flowing hair to music that glistens in the water.' 'Oh!' Matte exclaimed. 'Did you really witness all of this?' 'We have seen almost all of it,' the students replied. 'It\u2019s all written in a book, and everything in it is true.' 'I\u2019m not entirely convinced,' Matte said, shaking his head. Meanwhile, the herring were ready, and the students ate enough for six people, sharing some cold meat with Prince. Prince sat on his hind legs, purring with joy. After the meal, the students gave Matte a shining silver coin and allowed him to fill his pipe with special tobacco. They expressed their gratitude and continued their journey, leaving Prince behind, who sat on the shore, whimpering as long as he could see the white sail. Maie, who had been silent, was deep in thought. She had listened closely to the story about Ahti and thought, 'How wonderful it would be to have a fairy cow! How delightful it would be to draw milk from it, not worry about feeding it, and keep dishes of milk and cream on a shelf by the window! But that will never be my fortune.'", + "question": "Why did Maie long for a fairy cow?", + "local_or_sum": "summary", + "attribute": "causal relationship", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa411", + "input": { + "story_name": "whippety-stourie", + "context": "In this fir wood, there was an old quarry pit, at the bottom of which was a lovely spring, its water always fresh and clear. The young widow was walking near this quarry when, to her surprise, she heard the whirring of a spinning wheel and a voice softly singing a tune. At first, she couldn\u2019t figure out where the sound came from; then, recalling the quarry, she placed her child down by a tree root and crawled quietly through the bushes on her hands and knees to peek over the edge of the pit. To her astonishment, she saw the cruel fairy sitting far below, at the bottom of the quarry, by the spring, spinning rapidly at a small wheel, and singing: \"Little kens our guid dame at hame, whippety-stourie is my name.\"", + "question": "What did the cruel fairy do at the bottom of the quarry?", + "local_or_sum": "local", + "attribute": "action", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa200", + "input": { + "story_name": "the-dwarfie-stone", + "context": "During his time at court, Harold encountered a beautiful young Irish lady, Lady Morna, who had traveled from Ireland to Scotland to serve the Scottish queen. She was kind, gentle, and virtuous, which won Earl Harold's heart. He decided that she would be his wife, and no one else. However, despite his persistent courtship, Lady Morna had noticed moments of Harold's jealous nature. She had seen a dark look in his eyes and heard him speak harshly to his servants, which made her uninterested in marrying him. To his great surprise, she declined his offer, stating she preferred to remain single. Earl Harold gritted his teeth in fury but realized pressing further was futile. Thus, he decided to win her over through cunning. He asked his mother to convince Lady Morna to accompany them back to Orkney, hoping that by isolating her, he could change her mind. Throughout this, he never considered the possibility that his brother Paul could be his rival.", + "question": "Why did Harold fall in love with Lady Morna?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa247", + "input": { + "story_name": "the-dwarfie-stone", + "context": "Snorro could see that Harold was serious, so without saying a word, he went into his dwelling and soon returned with a small vial in his hand, filled with a rosy liquid. \"Pour this into Lady Morna's wine glass,\" he instructed, \"and I promise that within twenty-four hours, she will love you more than you love her now.\" Then he waved his hand, as though dismissing Harold, and disappeared back into his home. Harold hurried back to the castle, but it wasn't until a day or two later that he found the chance to add the potion to Lady Morna's wine cup. Finally, during supper one evening, he saw an opportunity, and after sending away the little page boy, he personally handed the cup to her.", + "question": "What did Snorro give to Harold?", + "local_or_sum": "local", + "attribute": "action", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa082", + "input": { + "story_name": "alleleiraugh-or-the-many-furred-creature", + "context": "The sun had risen, but the maiden continued to sleep soundly, even though it was nearing noon. The king, who owned the forest, was hunting there. When his dogs approached the tree, they sniffed and ran around it, barking. The king instructed the huntsmen, 'Go and find out what kind of wild beast is in there.' The huntsmen went in and returned, saying, 'There\u2019s a strange animal inside the hollow tree, one we\u2019ve never encountered before. Its skin is made of a thousand pieces of fur, but it is sleeping.' The king told them, 'Capture it alive and bring it to the cart, we\u2019ll take it with us.' When the huntsmen grabbed the maiden, she woke up startled and cried, 'I am a poor child, forsaken by my parents. Please have mercy and let me accompany you.' The huntsmen said, 'You, many-furred creature, will work in the kitchen; come and help us sweep the ashes.' They placed her in the cart and took her to the palace. There, they showed her a small, dark room under the stairs, saying, 'You, many-furred creature, can live and sleep here.' She was sent to the kitchen, where she fetched wood, carried water, poked the fire, washed vegetables, plucked chickens, swept the ashes, and did all the dirty chores. So the many-furred creature lived in poverty for a long time. What will happen to the beautiful king's daughter now?", + "question": "Where did the many-furred creature sleep?", + "local_or_sum": "local", + "attribute": "setting", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa486", + "input": { + "story_name": "the-sea-king-gift", + "context": "'What would you do with a cow?' Matte asked. 'She can\u2019t swim this far, and our boat is too small to bring her here. Even if we had her, we wouldn\u2019t know how to feed her.' 'We have four alder bushes and sixteen patches of grass,' Maie replied. 'Yes, and we also have three garlic plants,' Matte laughed. 'Garlic would be great cow food!' 'Every cow loves salted herring,' Maie said. 'Even Prince enjoys fish.' 'Maybe so,' said Matte. 'But I think she\u2019d become an expensive cow if we fed her salted herring. That\u2019s fine for Prince, who fights the gulls for the last scraps. Forget about the cow, Maie, we\u2019re doing just fine.' Maie sighed, knowing her husband was right, but she couldn\u2019t stop thinking about the cow. The buttermilk didn\u2019t taste as good in her coffee anymore, and she longed for fresh butter and cream. One day, as they were cleaning the herring by the shore, they heard Prince barking, and soon a brightly colored boat with three young men appeared, making their way toward the rock. The students asked if they could get something to eat. 'Could you bring us a junket, good lady?' they asked. 'If only I had one!' Maie sighed. 'A can of fresh milk would do,' said the students, 'but it can\u2019t be skim.' 'If only I had it!' Maie sighed again. 'What! Don't you have a cow?' When the herring were ready, the students ate enough for six, shared some cold meat with Prince, and gave Matte a shiny silver coin. They allowed him to fill his pipe with special tobacco and thanked him for his hospitality. As they left, Prince sat on his hind legs, watching them with a sad look. Maie had not spoken a word, but her thoughts were on the story of Ahti. 'How wonderful it would be to own a magical cow!' she thought. 'How delightful to have milk every morning and evening, without the worry of feeding it, and to keep a shelf filled with milk and junkets! But that will never be my luck.'", + "question": "Why did Maie lie to Matte after he asked what she was humming?", + "local_or_sum": "summary", + "attribute": "causal relationship", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa334", + "input": { + "story_name": "the-false-prince-and-the-true", + "context": "Left alone, the young man was overcome with the full realization of his impending death, and he understood that he had squandered his only opportunity for survival. 'Well, if this is how it must be, so be it,' he thought, and began to chase after the old woman, who by now was barely visible, even under the moon's light. Who would have thought that a woman over ninety could move with such swiftness? It almost seemed as though she was flying! Eventually, exhausted and out of breath, he caught up to her and panted, 'Madam, please forgive my rash words earlier; I was wrong and will gladly accept your proposal.' 'I knew you'd come around,' she responded in a strange tone. 'We don\u2019t have time to waste\u2014follow me immediately,' and they proceeded quietly and swiftly until they arrived at the small home of the priest. In front of him, the old woman made the young man swear to marry her, and he did so in the presence of witnesses. Afterward, she asked the priest and the guards to leave them for a moment, so she could tell the young man what to do when he appeared before the king and the judges the following day.", + "question": "How did the man feel when he realized how quickly the old woman moved ahead of him?", + "local_or_sum": "local", + "attribute": "feeling", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa419", + "input": { + "story_name": "whippety-stourie", + "context": "\" Oh, sweet madam, \" she cried, \" spare my child, and take, if you wish, the pig instead. \" The fairy responded coldly, \" We have no need for bacon where I come from; give me the boy and be done with it\u2014 I have no time for this nonsense. \" \" Oh, dear lady, \" the widow pleaded, \" if you won't take the pig, won't you spare my poor child and take me instead? \" The fairy stepped back in astonishment. \" Are you mad, woman? \" she sneered. \" Who would want a plain, red-eyed, dowdy wife like you? \"", + "question": "what did the widow offer the fairy instead of her child?", + "local_or_sum": "local", + "attribute": "action", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa191", + "input": { + "story_name": "the-dwarfie-stone", + "context": "On these occasions, Snorro was always joined by a huge grey-headed raven, who lived with him in the cave and was his closest companion and confidant. The islanders dreaded this ominous bird as much as they feared its master. Although they came to Snorro for advice in times of trouble, purchasing medicines and love potions, they still felt a deep unease around him, sensing something eerie and unnatural about him. At the time, Orkney was ruled by two earls, half-brothers. Paul, the elder, was a tall, striking man with dark hair and eyes like sloes. He was adored by the country folk, for his skill in knightly pursuits and his kind, gentle nature. People of all ages would smile at the sight of him, and young children would run out to greet him as he passed their homes. His popularity was even more remarkable because, despite his warm demeanor, he was known for his silence, earning the nickname Paul the Silent, or Paul the Taciturn, due to his lack of conversation.", + "question": "Who was a tall, handsome man with dark hair and eyes like sloes?", + "local_or_sum": "local", + "attribute": "character", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa199", + "input": { + "story_name": "the-dwarfie-stone", + "context": "During his time at court, Harold encountered a beautiful young Irish lady, Lady Morna, who had traveled from Ireland to Scotland to serve the Scottish queen. She was kind, gentle, and virtuous, which won Earl Harold's heart. He decided that she would be his wife, and no one else. However, despite his persistent courtship, Lady Morna had noticed moments of Harold's jealous nature. She had seen a dark look in his eyes and heard him speak harshly to his servants, which made her uninterested in marrying him. To his great surprise, she declined his offer, stating she preferred to remain single. Earl Harold gritted his teeth in fury but realized pressing further was futile. Thus, he decided to win her over through cunning. He asked his mother to convince Lady Morna to accompany them back to Orkney, hoping that by isolating her, he could change her mind. Throughout this, he never considered the possibility that his brother Paul could be his rival.", + "question": "Who was the charming young Irish lady?", + "local_or_sum": "local", + "attribute": "character", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa458", + "input": { + "story_name": "the-sea-king-gift", + "context": "Good things often come in threes, so Matte and his wife caught salmon in the spring, herring in the summer, and cod during the winter. On Saturdays, when the weather was pleasant and the wind was favorable, they would sail to the nearest town, sell their fish, and attend church on Sunday. However, there were times when they were completely alone on the rock Ahtola for weeks, with nothing but their little yellow-brown dog, named Prince, the tufts of grass, bushes, flowers, sea bays, fish, a stormy sky, and the white-crested blue waves. The rock was far from the land, surrounded by no green islands or human settlements for miles, with only other rocks of the same red stone as Ahtola, constantly misted by the ocean spray. Matte and Maie were diligent, hardworking people, content with their modest hut, and they considered themselves prosperous when they managed to preserve enough fish for winter and still had some left over to buy tobacco for Matte and coffee for Maie, along with plenty of roasted corn and chicory for flavor. They also had bread, butter, fish, a beer barrel, and a jar of buttermilk\u2014what more could they need? Everything was fine, except that Maie was secretly longing for one thing, a cow.", + "question": "What did Maie secretly desire?", + "local_or_sum": "local", + "attribute": "action", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa209", + "input": { + "story_name": "the-dwarfie-stone", + "context": "However, that is exactly what occurred. Lady Morna, without any ill intent, accepted Countess Helga\u2019s invitation. As soon as the group arrived in Orkney, Paul, captivated by the elegance and beauty of the young Irish woman, fell deeply in love with her. Lady Morna, from the moment she met him, reciprocated his feelings. Naturally, this situation could not remain secret for long, and when Harold discovered what had transpired, his jealousy and anger were overwhelming. Grabbing a dagger, he stormed up to the turret where his brother sat in his private rooms, threatening to stab him if he did not renounce his intentions toward the beautiful lady. But Paul calmly responded, 'Settle down, brother. Yes, I do love her, but that doesn't guarantee she'll choose me. Why would she pick me, known as Paul the Silent, when she could have you, Harold the Orator, whose words flow so easily?' At these words, Harold's vanity was appeased, and he realized his stepbrother was right. He had little chance with his limited speaking skills. Dropping the dagger, he shook his brother\u2019s hand and asked for forgiveness for his earlier anger. He left the tower feeling content, full of good humor.", + "question": "How did Paul manage to ease Harold\u2019s anger?", + "local_or_sum": "summary", + "attribute": "action", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa374", + "input": { + "story_name": "whippety-stourie", + "context": "At any rate, the poor young wife was in a sorry state, for she had to care for a little baby boy, and with times being tough, she had little to live on. However, she adored her child deeply and worked tirelessly throughout the day with her cows, pigs, and hens to earn enough money to feed and clothe both herself and her son. On the morning in question, she woke up early and went out to feed her pigs, as rent day was approaching, and she planned to sell one of them, a large, fat creature, at the market. She believed the money from selling it would help her pay the rent. With this thought in mind, her heart felt light, and she hummed a tune as she walked across the yard, with her baby in one arm and a bucket in the other.", + "question": "Who was the widow left to care for?", + "local_or_sum": "local", + "attribute": "character", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa472", + "input": { + "story_name": "the-sea-king-gift", + "context": "Matte was confused. He had never read *Kalevala* and was unfamiliar with the old sea gods, but the students started explaining. 'Ahti,' they told him, 'is a mighty ruler who lives in his realm of Ahtola and has a treasure hidden at the bottom of the sea. He governs all the fish and deep-sea creatures; he owns the best cows and the fastest horses grazing beneath the ocean. Those who gain Ahti's favor quickly become rich, but one must be careful when dealing with him, as he is moody and easily angered. Even a tiny stone tossed into the water might upset him, and when he takes back his gift, he stirs up a storm and drags sailors to the deep. Ahti also possesses the fairest maidens, who attend to his queen Wellamos and comb their long, flowing locks to music that sparkles in the water.' 'Oh!' Matte exclaimed. 'Did you really see all of this?' 'We\u2019ve almost seen it,' the students replied. 'It\u2019s all written down in a book, and everything in it is true.' 'I\u2019m not convinced,' said Matte, shaking his head.", + "question": "How did the students know about Ahti\u2019s actions in the sea?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa197", + "input": { + "story_name": "the-dwarfie-stone", + "context": "Harold, in contrast, was completely different from his brother, as different as night from day. He had light hair and blue eyes, and was known as Harold the Orator because he was always eloquent and quick with his words. However, despite all this, he was not particularly popular. He was proud, envious, and easily angered, and whenever the elderly saw him, their faces did not light up, while children, instead of running to greet him, hid behind their mothers when he passed by. Harold knew full well that the people favored his silent brother, which made him feel envious, creating a rift between the two. One summer, it so happened that Earl Harold visited the King of Scotland, accompanied by his mother, Countess Helga, and her sister, Countess Fraukirk.", + "question": "Why were the people not fond of Harold?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa064", + "input": { + "story_name": "alleleiraugh-or-the-many-furred-creature", + "context": "In addition to these, I desire a cloak made from a thousand different kinds of skins; every animal in your kingdom must contribute a part of its skin for it. But she thought to herself, 'This will be impossible, and I won\u2019t have to marry someone I do not like.' The king, however, was determined and instructed the most skilled maidens to weave three dresses: one as golden as the sun, one as silver as the moon, and one as sparkling as the stars. He also ordered all the huntsmen in his kingdom to catch one of every kind of animal and take a bit of its skin to create the cloak of a thousand furs. When everything was ready, the king had the cloak brought to him. He laid it out in front of the princess and said, 'Tomorrow will be your wedding day.' When the princess saw that there was no changing her father's mind, she resolved to run away. That night, while everyone else slept, she woke up, took three treasures\u2014her gold ring, a little golden spinning wheel, and a golden reel\u2014put the sun, moon, and star dresses into a nutshell, put on the cloak of many skins, and covered her face and hands with soot. She prayed to God, then began her journey, traveling all night until she reached a vast forest. Exhausted, she sat down inside a hollow tree and fell asleep.", + "question": "Who did the king command to weave the three dresses?", + "local_or_sum": "local", + "attribute": "character", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa361", + "input": { + "story_name": "the-false-prince-and-the-true", + "context": "One night, after a particularly long hunt, the prince returned exhausted and went straight to bed. Suddenly, he was awakened by an unfamiliar sound. Fearing a thief had entered, he grabbed his sword from beside his bed. As he listened, he realized the noise was coming from the next room, the princess\u2019s chamber, where a torch was burning. Stealthily, he approached the door and peered through it. Inside, he saw the princess lying on her bed, a golden crown upon her head, her wrinkles vanished, and her face as smooth and youthful as a fourteen-year-old's. Could this truly be his wife, now so beautiful? As he stood in astonishment, the princess opened her eyes and smiled. 'Yes, it\u2019s really me,' she said, seemingly reading his thoughts. 'The enchantment is broken, and now I will tell you who I am and what happened to turn me into an old woman.'", + "question": "How did the prince feel when he heard the strange noise in the room?", + "local_or_sum": "local", + "attribute": "feeling", + "ex_or_im": "implicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa086", + "input": { + "story_name": "alleleiraugh-or-the-many-furred-creature", + "context": "Once, when a great feast was being held in the palace, she asked the cook, 'Can I go upstairs for a bit and watch? I\u2019ll stay outside the doors.' The cook replied, 'Yes, but you must return in half an hour to sweep the ashes.' She took her small oil lamp, went to her room, removed her fur cloak, and washed the soot from her face and hands, revealing her beauty, as if beams of sunlight were breaking through dark clouds. She opened the nut and took out the dress as golden as the sun. Once dressed, she went up to the feast. Everyone stepped aside for her, as they didn\u2019t know her and assumed she must be a king's daughter. The king approached her, took her hand, and danced with her, thinking to himself, 'I have never seen anyone so beautiful!' When the dance ended, she curtsied and disappeared before the king could look around. The guards were questioned, but no one had seen her.", + "question": "Why did everyone step aside for the princess?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa324", + "input": { + "story_name": "the-false-prince-and-the-true", + "context": "The young man lifted his head as though to speak, but the king, uninterested, ordered the guards to arrest him. The king also stated that the prisoner could visit any part of the city, but only with guards present, and in fifteen days, he would face trial before the kingdom\u2019s highest judges. The young man left the king\u2019s presence, surrounded by soldiers and many friends, for he was much admired. Following their advice, he spent the next fourteen days consulting wise men, hoping to find a way to escape death, but no one could offer a defense, as there was no reason to justify the blow he had dealt to the prince. On the fourteenth night, filled with despair, the prisoner wandered through the city, his face pale and filled with dread. None of his companions dared speak to him. After several hours of wandering, an old woman, hunched over with age, appeared before him near the gate of a monastery. She looked to be about ninety, though her bright, youthful eyes betrayed her true age.", + "question": "Why didn\u2019t the young man\u2019s companions dare to speak to him?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa286", + "input": { + "story_name": "four-shilling-piece", + "context": "\"Yes, and I\u2019m sure it\u2019s because you have the jacket, poor fellow!\" said the boy. But as he looked closer, he saw a chest full of bright silver coins under the stone. \"That must be stolen money,\" he thought, \"for no one hides honestly earned money under stones in the woods.\" He took the chest, carried it to a nearby pond, and threw the entire chest into the water. However, a single four-shilling coin floated on the surface. \"Well, this one must be honest, since only honest things float,\" the boy said. He took the four-shilling coin and the jacket home. He told his mother that the stone had turned, and he had found a chest full of silver coins and thrown them in the pond because he thought they were stolen. \"But this four-shilling piece floated, so I kept it because it was honest,\" said the boy. \"You are a fool,\" the woman exclaimed angrily. \"If honesty were only about what floats on water, there wouldn't be much honesty left. Even if the money had been stolen, it was still yours to keep. We could have lived peacefully with it, but you're a dunderhead and will always be one. Now, go out and make your own way in the world!\"", + "question": "Why did the boy keep the four-shilling coin?", + "local_or_sum": "local", + "attribute": "causal relationship", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + }, + { + "id": "fqa237", + "input": { + "story_name": "the-dwarfie-stone", + "context": "She accepted eagerly. Hiding her flushed face against his shoulder, she admitted that she had loved him from the very first moment they met, and from that day onward, she had resolved that if she couldn\u2019t marry him, she would marry no other man. For a while, they sat together, basking in their newfound joy. Then Earl Paul jumped to his feet. 'Let\u2019s go share the good news with my mother and brother,' he said. 'Harold may be upset at first, for I know, my dear, he would have wished to have you for himself. But his noble heart will soon get over it, and he will rejoice with us.' But Lady Morna shook her head. She knew better than her lover what Earl Harold\u2019s reaction would be, and she would prefer to delay the uncomfortable moment. Meanwhile, strange events were unfolding at the castle in Kirkwall. Encouraged by his brother\u2019s absence, Harold once again offered his hand in marriage to Lady Morna. She rejected him again, and to avoid a repeat of the scene, she told him she had pledged herself to his brother. Upon hearing this, rage and fury nearly consumed him. Enraged, he stormed away, mounted his horse, and rode off toward the coastline. As he galloped wildly, his eyes caught sight of the snow-covered hills of Hoy rising across the narrow sea that separated the two islands. Suddenly, his thoughts turned to Snorro the dwarf, who he and his step-aunt had visited in the past. 'I\u2019ve got it!' he cried out. 'How foolish I was not to think of it sooner! I\u2019ll go to Snorro and buy a love potion that will make Lady Morna turn away from my brother and turn her affection toward me.'", + "question": "How will Harold react when he discovers that his brother is engaged to Lady Morna?", + "local_or_sum": "summary", + "attribute": "prediction", + "ex_or_im": "explicit" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Fake-News-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Fake-News-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b7de56c1a073fd090b9078c97c8337c0542ebb4f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Fake-News-Detection/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "fake_news_detection", + "data_source": "fake_news_detection_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0281", + "input": { + "raw_text": "Title: What to Cook This Weekend - The New York Times\nAuthor: Sam Sifton\nContent: Sam Sifton emails readers of Cooking five days a week to talk about food and suggest recipes. That email also appears here. To receive it in your inbox, register here. Good morning. Up for a clambake? Mark Bittman gave us a recipe for an ultimate clambake a few years ago that is deeply involved but really quite easy, and if you have access to beach, rocks and fire, it may make for a glorious summer feast this weekend. If you partake, please document your work, sending photographs or \u201cstories\u201d to our social accounts on Instagram, Twitter or Facebook. We\u2019ll send \u2019em around proudly. #NYTCooking! #NYTClambake! Less complicated but no less an awesome weekend activity would be to make the recipe for cold lobster with lobster mayonnaise that Mark and I ginned up a while back for a dinner party here in New York. You could grill some pizzas. You could make Kim Severson\u2019s recipe for tamarind shrimp with coconut milk. Or you could just make Florence Fabricant\u2019s recipe for chicken paillards with corn salad and watch the Olympics like a normal person. I\u2019d love to make some pies this weekend. I\u2019d be down to make fried chicken. I think it\u2019d be nice to make David Tanis\u2019s recipe for garbanzos and greens with chorizo. It\u2019d be just as pleasurable to make the recipe for Jordan Marsh\u2019s blueberry muffins, which Marian Burros brought to The Times back in 1987. And, as always, I\u2019ll make a big batch of granola to eat for breakfast all next week with thick yogurt and plenty of fruit. How about you? Take a scroll through Cooking to see what appeals, and save the recipes you\u2019re interested in making to your recipe box. Send them along to family and friends for review, either by emailing them or by posting them to social media, the bustling town square of our age. And then let us know \u2014 all of us in this growing community of cooks! \u2014 what you think of them by rating the recipes and leaving notes on them. Of course we\u2019ll be standing by to help if anything goes sideways. Just reach out to cookingcare@nytimes. com. Now, won\u2019t you join me in the wayback machine for this reprise of a road trip I took a decade ago to eat salmon in the Pacific Northwest? In more recent news, check out this promising dispatch from The Boston Globe about a rebound of cod in Newfoundland. (Or read this more depressing one from Outside: 10 normal people on the costs of living in a mountain town.) Finally, it is the Glorious Twelfth in Britain today, the opening of season and, not incidentally, a day of rage for those who abhor the killings on the moors. Still, those of you who patronize restaurants may see the birds showing up on menus some time next week. Look out! Have a good weekend.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0193", + "input": { + "raw_text": "Title: More of Kremlin\u2019s Opponents Are Ending Up Dead - The New York Times\nAuthor: Andrew E. Kramer\nContent: MOSCOW \u2014 From a certain perspective, certainly the Kremlin\u2019s, Vladimir \u2019s behavior in Washington could be seen as treasonous, a brazen betrayal of his homeland. In a series of public meetings on Capitol Hill, Mr. a leader in the Russian opposition, urged American lawmakers to expand economic sanctions against the Russian government under a law known as the Magnitsky Act. That would hasten political change in Russia, he argued. Back in Moscow a month later, in May 2015, the changes Mr. detected were going on in his own body. Midway through a meeting with fellow dissidents, beads of sweat inexplicably dotted his forehead. His stomach churned. \u201cIt all went so fast,\u201d he recalled. \u201cIn the space of about 20 minutes, I went from feeling completely normal to having a rapid heart rate, really high blood pressure, to sweating and vomiting all over the place, and then I lost consciousness. \u201d He had ingested a poison, doctors told him after he emerged from a weeklong coma, though they could find no identifiable trace of it. While Mr. survived, few others in his position have proved as lucky. He said he was certain he had been the target of a security service poisoning. Used extensively in the Soviet era, political murders are again playing a prominent role in the Kremlin\u2019s foreign policy, the most brutal instrument in an expanding repertoire of intimidation tactics intended to silence or otherwise intimidate critics at home and abroad. Russia\u2019s president, Vladimir V. Putin, has made no secret of his ambition to restore his country to what he sees as its rightful place among the world\u2019s leading nations. He has invested considerable money and energy into building an image of a strong and morally superior Russia, in sharp contrast with what he portrays as weak, decadent and disorderly Western democracies. Muckraking journalists, rights advocates, opposition politicians, government and other Russians who threaten that image are treated harshly \u2014 imprisoned on charges, smeared in the news media and, with increasing frequency, killed. Political murders, particularly those accomplished with poisons, are nothing new in Russia, going back five centuries. Nor are they particularly subtle. While typically not traceable to any individuals and plausibly denied by government officials, poisonings leave little doubt of the state\u2019s involvement \u2014 which may be precisely the point. \u201cOutside of popular culture, there are no highly skilled hit men for hire,\u201d Mark Galeotti, a professor at New York University and an authority on the Russian security services, said in an interview. \u201cIf it\u2019s a skilled job, that means it\u2019s a state asset. \u201d Other countries, notably Israel and the United States, pursue targeted killings, but in a strict counterterrorism context. No other major power employs murder as systematically and ruthlessly as Russia does against those seen as betraying its interests abroad. Killings outside Russia were even given legal sanction by the nation\u2019s Parliament in 2006. Applied most notoriously in the case of Alexander V. Litvinenko, a Putin opponent who died of poisoning in London in 2006, murders and deaths under mysterious circumstances are now seen as such a menace that Kremlin critics now often flee the country and keep their whereabouts secret. Russia has never acknowledged using the authority under the 2006 law and has specifically denied any government ties to cases, including the Litvinenko murder. Among those fleeing Russia recently is Grigory Rodchenkov, a in Russia\u2019s sports doping scandal. This is not without reason. In the case over doping, two other officials with knowledge of the scheme died unexpectedly as the outlines of the scandal began to emerge. Just this month, another Yulia Stepanova, a runner in hiding with her husband in the United States, was forced to move amid fears that hackers had found her location. \u201cIf something happens to us,\u201d she said, \u201cthen you should know that it is not an accident. \u201d \u201cThe government is using the special services to liquidate its enemies,\u201d Gennadi V. Gudkov, a former member of Parliament and onetime lieutenant colonel in the K. G. B. said in an interview. \u201cIt was not just Litvinenko, but many others we don\u2019t know about, classified as accidents or maybe . \u201d Most recently, a coroner ruled that trauma caused the death of a Kremlin insider, Mikhail Y. Lesin, 57, in a Washington hotel room last year, not the heart attack his colleagues first said. In July, the Russian Interfax news agency reported that Aleksandr Poteyev, 64, an intelligence officer accused of defecting and betraying a ring of Russian spies living undercover in American suburbs, had died in the United States. Still, the Magnitsky Act, the law that Mr. was in Washington urging lawmakers to expand, has proved to be perhaps the most lethal topic of all over the years. Sergei L. Magnitsky, a lawyer and auditor, was jailed on tax evasion charges while investigating a $230 million government tax \u201crefund\u201d that corrupt Russian officials had granted to themselves. He died in 2009 after having been denied essential medical care in prison, earning the Kremlin widespread condemnation. In response, William F. Browder, an American financier who was the target of the tax fraud during time he spent working in Russia and had employed Mr. Magnitsky, campaigned in Congress for a law punishing the officials involved in the misdeeds and subsequent mistreatment of the auditor. The proposed measure, which eventually passed in 2012 as the Sergei Magnitsky Rule of Law and Accountability Act, denied visas and blocked access to the American financial system for Russians deemed to have committed rights abuses and avoided punishment at home \u2014 including those involved in the Magnitsky tax fraud case. Mr. Putin, perceiving an intrusion into his country\u2019s affairs, campaigned hard against the measure. When it passed, he retaliated by ending American adoptions of Russian children. The law became a prototype for the blacklisting of prominent Russians accused of murders, human rights abuses and financial theft, among other violations. The question of who was involved in the tax fraud became vitally important first to the investigation, and eventually to the final scope of the legislation. Access to inside information became pivotal and, it turned out, lethal. To date, five people who either handed over such information or were potential witnesses have died under mysterious circumstances that, in their sophistication, suggest killings. One of the victims was Mr. Magnitsky, whose death was hardly the stuff of security operations. Two others died before Mr. Magnitsky. And as the case gained greater prominence, others began dying under mysterious circumstances. One victim whose death preceded Mr. Magnitsky\u2019s, Valery Kurochkin, a potential witness whose name appeared on documents related to the fraud, fled Russia for Ukraine but died there of liver failure at the age of 43. The other, Oktai Gasanov, a figure in the fraud case but one who might have shed light on the group\u2019s modus operandi, died of heart failure at 53. Then, after Mr. Magnitsky\u2019s death in prison, a fourth insider met an untimely end in a plunge from a balcony. A fifth, a banker linked to the scheme, Alexander Perepilichny, made it to London in 2009 and passed records to Swiss investigators. In 2012, however, at the age of 44 and in apparently excellent health, he suffered a heart attack while jogging. The police were left scratching their heads over the body found crumpled on a road in a housing development, home to Kate Winslet and Elton John. An autopsy initially did nothing to clear up the questions. It was not until 2015 that a botanist was able to identify the presumptive cause of Mr. Perepilichny\u2019s death: His stomach held traces of gelsemium, a rare, poisonous plant grown in the Himalayas and known to have been used in Chinese assassinations. A coroner\u2019s inquest is scheduled for September. \u201cAll of this sounds like paranoid conspiracy theories,\u201d Mr. Browder said in a telephone interview. \u201cBut there are too many of these happening to important people. Captains of industry and lawyers are not dying left, right and center like this in the West. \u201d Poison has been a favorite tool of Russian intelligence for more than a century. A biochemist, Grigory Mairanovski, labored in secret from 1928 on the task of developing tasteless, colorless and odorless poisons. In 1954, a K. G. B. defector described a secret lab near the agency\u2019s Lubyanka headquarters and \u201cexperiments on living people. \u201d The agencies developed an arsenal of lethal, poisons that, analysts of Russian security affairs say, is still in use. The terrorist known as Khattab died in 2002 in his mountain in Chechnya after opening a letter laced with a form of sarin, a nerve agent. In 1995, a Russian banker, Ivan K. Kivelidi, died after coming in contact with cadmium, which is deadly to the touch. His secretary died of the same symptoms, apparently because the poison had been spread on an office telephone handset. In 2008, Karinna Moskalenko, a Russian lawyer specializing in taking cases to the European Court of Human Rights, fell ill in Strasbourg, France, from mercury found in her car. And in one case, a Bulgarian dissident, Georgi Markov, was killed on Waterloo Bridge in London in 1978 with an umbrella tipped with a pellet of ricin. Mistakes abound. In 1971, a year after he won the Nobel Prize for literature, Aleksandr Solzhenitsyn survived a poisoning attempt. Ricin, made from castor beans, was probably involved, according to news media accounts and a biography of the dissident writer. Ukraine\u2019s former president, Viktor A. Yushchenko, was left with his face disfigured after a dioxin poisoning \u2014 most likely concealed in a meal of boiled crayfish \u2014 that Mr. Yushchenko attributed to Russian assassins. The attempt on Mr. \u2019s life turned out to be one of those mistakes, though that was not immediately certain. As his colleagues looked on surprised, Mr. \u2019s head flopped down onto a table. The poison threw him into a weeklong coma with a puzzling range of symptoms, including swelling in his brain and kidney failure, giving his legs and arms a blue hue, his wife, Yevgenia, recalled. He endured nerve damage that left him limping, but has otherwise made a full recovery. A French laboratory found heavy metals in his blood but was unable to identify a specific poison or explain how he might have ingested them accidentally. Mr. 34, has insisted that the police open an investigation. He is convinced that he ingested the poison during a flight on Aeroflot. If so, it would not have been the first time such an episode occurred. In 2004, the opposition journalist Anna Politkovskaya drank poisoned tea on a domestic flight operated by Karat, another Russian airline, but she survived. Two years later, she was shot and killed in her apartment elevator. \u201cHow can you protect yourself?\u201d Mr. \u2019s wife asked. \u201cWhat can you do? Not eat? Bring your own lunch everywhere? How can you predict a poisoning?\u201d Some do take precautions. Garry Kasparov, the former chess champion and now an opposition figure, has long had bodyguards carry bottled water and prepared meals for him. In a chilling epilogue to Mr. \u2019s ordeal, a warning appeared in February on the Instagram account of Ramzan A. Kadyrov, the leader of Chechnya. It showed Mr. outside the European Parliament building in Strasbourg, where he was speaking in favor of sanctions against Russia. He was in cross hairs, with a caption: \u201cThose who haven\u2019t understood will understand. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0496", + "input": { + "raw_text": "Title: How to Save the Conversation at Your Post-Election Thanksgiving Dinner\nAuthor: Pamela Bofferding\nContent: Sometimes going home for the holidays is hard (there\u2019s a reason liquor sales swell during these occasions!). Often, Thanksgiving dinners bring far-flung family members together at a single table under one roof, and that, even in the best of circumstances, can lead to stress and awkward conversations. Add in the fact that this is an election year and you\u2019re bound to encounter some strain while you pass those mashed potatoes across vastly different ideologies. I\u2019ve heard from more than one friend or family member that they won\u2019t be attending holiday dinners this year, and I think that\u2019s really a shame.\nI\u2019d encourage anyone thinking about going that route to reconsider; the following tips can help to make your Thanksgiving dinner manageable and enjoyable and can help you focus on your families\u2019 similarities, rather than differences.\nRemember the Golden Rule of Polite Conversation If you\u2019re an activist of any sort this may be difficult to adhere to, but the two topics that are best to leave on the coat hook are your religious and political views. Remember last year when Uncle Joe successfully convinced everyone at the table to convert to his exact religious and political beliefs? Yeah, that didn\u2019t happen. No matter how zealous your convictions, if you truly want to make the two hours of Thanksgiving dinner comfortable, you need to skip that kind of talk. Now is no time to be passive-aggressive either: leave the political-themed hats and t-shirts at home. Focus instead on the personal: how people are doing in their jobs, what hobbies they are participating in, how their kids are doing.\nIf someone tries to bait or lead you into a conversation that approaches one of the two danger zones, be nice but don\u2019t engage. I once escaped a horrible conversation with a distant cousin by complimenting her earrings. Really, this is no different than abstaining from talk about your digestive issues or the road kill you saw on the drive over\u2014it\u2019s just plain rude to go there. And if your family happens to all hold the exact same beliefs and convictions, well, how nice for you! (Though you should know that for years my family assumed I shared their same political opinions when I absolutely did not\u2014consider this might be the case for the person next to you at the table.)\nThankful for Place Settings When I host Thanksgiving dinner at my house, each place setting has a little piece of paper with the subject heading \u201cI am thankful for:\u201d and 5 blank lines. I also give out fountain pens like these as a little gift to my guests. As everyone is seated, they fill out their lists. We take turns over the course of the dinner reading our lists. This is a great way to focus on what really matters to us and to help us share in our gratitude.\nDo Your Part Preparation is key in all situations, so having a couple of talking points in your conversation arsenal is smart. Avoid lulls in conversation by contributing. Think about something positive or meaningful that happened to you recently\u2014a beautiful place that you visited or a great (non-political!) book or movie that you saw\u2014and have an anecdote ready.\nWhen all else fails, you can always talk about the food: what your favorite part of the meal is, how certain dishes were prepared, and how good the wine is (but go easy on the wine!). \nPamela Bofferding is a native Texan who now lives with her husband and sons in New York City. She enjoys hiking, traveling, and playing with her dogs.\nThis information has been made available by Ready Nutrition \nOriginally published November 17th, 2016 Southern Girl\u2019s Survival Guide to Thanksgiving \u2013 The Thanksgiving Club Sandwich Negotiate Like a Pro With These 5 Powerful Tips How to Spot the Sociopath in Your Midst What to Do If Your Partner Thinks Prepared = Paranoid ", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0237", + "input": { + "raw_text": "Title: Cubans Planning to Leave for U.S. Face a Bleak New Reality - The New York Times\nAuthor: Hannah Berkeley Cohen, Azam Ahmed and Frances Robles\nContent: HAVANA \u2014 Andr\u00e9s Iv\u00e1n and his girlfriend grew up in Cuba but had long planned their future in the United States. She left four months ago to find work and made it to Miami, where she was legally welcomed. He stayed in Havana, knowing the United States\u2019 special treatment of Cubans gave him the freedom to rejoin her and marry when the moment was right. Those dreams were dashed on Thursday, when President Obama announced the immediate end of the longstanding policy under which any Cuban who made it to American soil was admitted and placed on a glide path to citizenship. \u201cOur relationship has been built on two things: love, and the idea that we will create a life together in the U. S. \u2014 whether that\u2019s in one year or five,\u201d Mr. Iv\u00e1n said here on Friday. \u201cNow I have to realign my entire life plan. \u201d He is among an untold numbers of Cubans doing so, including what could be thousands stranded midjourney, whether by boat or by land, often through Mexico. Those who arrived at border stations in Arizona, California and Texas on Thursday were let in. Those still on the Mexican side were left to consider whether to try to sneak across or hire smugglers to take them into a country that as of Friday would treat them as illegal entrants, just like those from other countries. Alexander Iglesias Rodr\u00edguez, 41, a veterinarian who reared cows in Cienfuegos on Cuba\u2019s southern coast, left the country on Wednesday, six weeks after his wife and his son, Gabriel, 16. They flew to Mexico and then crossed the border in Matamoros. He delayed his departure so as not to draw attention from immigration authorities in Cuba and Mexico. He sold his 1956 Pontiac, his head of cattle and his house, pulling together about $12, 000. He was in Mexico about to cross into the United States when the order came down. \u201cSo many years dreaming about this,\u201d Mr. Iglesias said. Now he is in limbo, unsure if he should wait or make a stab at seeking asylum in the United States, a request the government does not always grant. \u201cWhat do I have in Cuba? Nothing. My wife is in the United States. My son is in the United States. I sold everything I had. I can\u2019t go back. \u201d Also eliminated on Thursday was a program that allowed Cuban doctors posted to other countries to more easily migrate to America, leaving Ayme Monges, 25, stuck in Bogot\u00e1, Colombia, on Friday with all her paperwork in order but nowhere to go. \u201cI got to the embassy this morning and they said, \u2018You are Cuban? You can\u2019t pass. That program is frozen,\u2019\u201d Dr. Monges, who had been working in Venezuela, said in a phone interview. \u201cI am stranded here in this country. \u201d The number of Cubans leaving for America has surged since the two governments resumed relations in late 2014, in expectation that the policy \u2014 known as \u201cwet foot, dry foot\u201d because those caught at sea were sent back but those who made it to dry land were allowed to stay \u2014 might end. A senior official with the Department of Homeland Security, who spoke on the condition of anonymity in keeping with agency policy, said the administration decided to end the program immediately to prevent a mass exodus that would risk lives at land and sea. In Cuba, the abrupt change seemed to further divide people along generational lines. Many older Cubans said the decision was a just one that would halt the steady drain of the nation\u2019s citizens \u2014 especially educated ones like doctors \u2014 to America. One man, selling copies of the newspaper Granma on the street, said the measure was necessary to stop \u201cundermining the Cuban government\u201d by enticing people to \u201cthrow their fates to the sea. \u201d But younger Cubans, for whom the prospect of a life in America offers a glimmer of hope amid economic hardship, were crushed, forced to envision a future with fewer options. Cuban identity, and pride, is in no small part forged by its relationship with the United States, both in the tiny country\u2019s defiance of its bigger neighbor and then in the unique privileges afforded to those who fled and made it to America. To be suddenly placed on equal footing with the millions of others around the world hoping to do the same was an especially hard fall. In Havana, where until recently the internet has been out of reach for most ordinary Cubans, the city\u2019s relatively new parks have become stations of despair following the announcement. For a nation robbed of connectivity for more than a decade, the sudden surge of digital news \u2014 through email, messaging and social media \u2014 seemed like a particularly cruel way to find out their special treatment had ended. A few blocks from the American Embassy, in the neighborhood of Vedado, the casual atmosphere changed suddenly as the news began to spread. Visitors checking their phones shared the news with those within shouting distance. One youth yelled to the gathered crowds: \u201cHave you heard? This screws up all your lives. \u201d Miguel Alberto Escalona, 24, sat with his wife in a park in Vedado, bewildered. He sent a text to his family in Miami decrying the change. The news also brought to the surface frustrations for young Cubans, especially concerning the new dynamic that an increase in tourism is bringing to the nation. Food prices have surged to meet the demand, while what scant resources the country are redirected to the outsiders now flooding Cuba, especially Americans. \u201cI\u2019m totally against the change in the law,\u201d Mr. Escalona wrote to his family. \u201cHere in Cuba, we have nothing to live for. Our country is for foreigners, not for our people, no wonder people want to leave. \u201d For years, most Cubans have been willing to overlook that the policy was unfair to other nationalities, especially to Central Americans, many of whom were fleeing violence at home. But for many on Friday, having had the policy and suddenly losing it was somehow worse, especially if you were in the midst of planning an escape. One young man, who was building his own boat to take to America, sat in the Vedado park, stunned. He said he was nearly finished with the boat, and his departure had been imminent. Those plans now dashed, he began browsing the web for a prospective bride, suggesting he would pay up to $3, 000 to any woman willing to marry him and bring him to the United States. \u201cMy plan A was to leave in a boat,\u201d he said with a rueful smile. \u201cSo I guess my plan B is to marry an American woman. \u201d While Mr. Obama\u2019s announcement was met with chagrin among some groups in Cuba, the government applauded the change in American policy, which they have long complained about, especially the program allowing Cuban doctors to immigrate to the United States. Since the program began 10 years ago, nearly 10, 000 Cuban medical professionals have been approved for residency in the United States. Many of them were Cuban doctors sent on medical missions to friendly countries like Venezuela, a program that critics of the Cuban government likened to human trafficking, since the government took in billions of dollars a year in fees from the doctors\u2019 host countries. For those without a career path, the loss of an American escape hatch left them with even fewer employment options. It struck especially hard on those, like Mr. Iv\u00e1n, with deep ties to family and loved ones in the United States. (He declined to be identified by his full name for fear of reprisal by the Cuban government.) His brother made the trek four years ago, through Mexico, and is now living the American dream: a mortgage, a car and a job that pays him a living wage. Now, Mr. Iv\u00e1n is left with a remorse for having not acted sooner. And he wonders if he will ever be reunited with his girlfriend. On Friday morning, he was even having trouble reaching her, given the communication in Cuba. He checked his phone incessantly, hoping for a text from her. \u201cWith each blow like this, I feel farther and farther away from you,\u201d he typed to her, frustrated about the shaky connection. Accepting the reality of the new situation, and without a plan, he sent another message: \u201cI want you to know that no matter what happens, I will always love you. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0330", + "input": { + "raw_text": "Title: A New Verb in Mexico: Trumpear (From \u2018to Punch\u2019) - The New York Times\nAuthor: Eli Rosenberg\nContent: In the state of Chihuahua in Mexico, an eatery is churning out Donald Trump tacos. They\u2019re made with a lot of tongue, a dash of pig snout and just a little bit of cow brain. Masks of Mr. Trump\u2019s face, topped by tufts of artificial blond hair, are rolling off the lines at a factory in Cuernavaca \u2014 a recent batch numbered 10, 000. At the town of Otumba\u2019s annual May Day celebration, 40, 000 visitors were treated to a donkey dressed as him. This is Mexico\u2019s return volley in its informal war of words with Mr. Trump, the presumptive Republican presidential nominee, who fired the opening salvo the day he began his campaign, calling Mexican immigrants \u201crapists. \u201d Where Mr. Trump brought bellicosity, many in Mexico have responded with humor. As the campaign in the United States grinds on, south of the border you can buy Trump pi\u00f1atas, watch the candidate be skewered in a satirical play, throw shoes at him in a video game, or purchase a special version of the classic game balero, with Mr. Trump as the cup (you can guess where the stick goes). There are too many cartoons to count. D\u00e1maso Morales Ram\u00edrez, a political science professor at the National Autonomous University of Mexico, said Mr. Trump had helped stir up feelings of Mexican nationalism as \u201cpeople have seized their traditions and popular expressions to defend themselves. \u201d \u201cWhat a Mexican says through caricatures is, many times, what they wouldn\u2019t dare say out loud,\u201d he said. \u201cIt\u2019s a Mexican way of expressing anger. And expressing something they don\u2019t like. \u201d Mr. Ram\u00edrez pointed to a new word, Trumpear, a play on the Spanish verb trompear, which means \u201cto hit\u201d or \u201cto punch. \u201d The exact definition of the neologism is still being debated. A Mexican reporter suggested on Twitter that it meant \u201cto hit, to vilify, to polarize, to revile, to terrorize as an electoral strategy. \u201d An academic defined it as \u201cthe act and effect of proposing stupid things that are impossible to realize. \u201d A technology businessman wrote that it meant \u201cto do the ridiculous and then contradict yourself afterwards. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0147", + "input": { + "raw_text": "Title: The announcement for Wales\u2019 first female bishop attracted quite a crowd\nAuthor: Poke Staff\nContent: Next Prev Swipe left/right The announcement for Wales\u2019 first female bishop attracted quite a crowd The Church in Wales has elected its first female bishop, and the historic announcement drew the most underwhelming crowd* you could possibly imagine. Church in Wales gets first female bishop. Do watch 30-sec clip of Archbishop's historic announcement, if only for crowd shot at the end\u2026 pic.twitter.com/tJZZO5xQdv \n\u2014 Kaya Burgess (@kayaburgess) November 2, 2016 \n*nine and half people", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0170", + "input": { + "raw_text": "Title: Russia calls the War Party\u2019s bluff\nAuthor: The Saker\nContent: by Pepe Escobar for Sputnik International \nCold War 2.0 has reached unprecedented hysterical levels. From the Clinton (cash) machine \u2013 supported by a neocon/neoliberalcon think tank/media complex \u2013 to the British establishment and its corporate media mouthpieces, the Anglo-American, self-appointed \u201cleaders of the free world\u201d are racking up demonization of Russia and http://www.economist.com/news/leaders/21709028-how-contain-vladimir-putins-deadly-dysfunctional-empire-threat-russia \n\u201cPutinism\u201d to pure incandescence. \nAnd yet a hot war is not about to break out \u2013 before or after the November 8 US presidential election. So many layers of fear and loathing in fact veil no more than a bluff. \nLet\u2019s start with the Russian naval task force in Syria, led by the officially designated \u201cheavy aircraft-carrying cruiser\u201d Admiral Kuznetsov, which will be stationed in the eastern Mediterranean at least until February 2017, supporting operations against all strands of Salafi-jihadism. \nThe Admiral Kuznetsov is fully equipped with anti-ship, air defense, artillery and anti-submarine warfare systems \u2013 and can defend itself against a vast array of threats, unlike NATO vessels. \nPredictably, NATO is spinning with alarm that \u201call of the Northern Fleet\u201d, along with the Baltic Fleet, is on the way to the Mediterranean. Wrong; it\u2019s only part of the Northern Fleet, and the Baltic Fleet ships are not going anywhere. \nThe heart of the matter is that when the capabilities of this Russian naval task force are matched with the S-300/S-400 missile systems already deployed in Syria, Russia is now de facto rivaling the firepower of the US Sixth Fleet. \nTo top it off, as this http://thesaker.is/making-sense-of-the-russian-naval-task-force-off-the-coast-of-syria/ comprehensive military analysis makes clear, Russia has \u201cbasically made their own no-fly zone over Syria\u201d; and a US no-fly zone, viscerally promoted by Hillary Clinton, \u201cis now impossible to achieve.\u201d \nThat should be more than enough to put into perspective the impotence transmuted into outright anger exhibited by the Pentagon and its neocon/neoliberalcon vassals. \nAdd to it the outright war between the Pentagon and the CIA in the Syrian war theatre, where the Pentagon backs the YPG Kurds, who are not necessarily in favor of regime change in Damascus, while the CIA backs further weaponizing of \u201cmoderate\u201d, as in al-Qaeda-linked and/or infiltrated, \u201crebels\u201d. \nCompounding the trademark Obama administration Three Stooges school of foreign policy, American threats have flown more liberally than Negan\u2019s skull-crushing bloody baton in the new season of The Walking Dead. \nPentagon head Ash Carter, a certified neocon, has threatened \u201cconsequences\u201d, as in \u201cpotential\u201d strikes against Syrian Arab Army (SAA) forces to \u201cpunish the regime\u201d after the Pentagon itself broke the Kerry-Lavrov ceasefire. President Obama took some time off weighing his options. And in the end, he backed off. \nSo it will be up for the virtually elected \u2013 by the whole US establishment \u2013 Hillary Clinton to make the fateful decision. She won\u2019t be able to go for a no-fly zone \u2013 because Russia is already doing it. And If she decides to \u201cpunish the regime\u201d, Moscow already telegraphed, via Russia\u2019s Defense Ministry spokesman Major-General Igor Konashenkov, there will definitely be \u201cconsequences\u201d for imposing a \u201cshadow\u201d hot war. \nSun Tzu doesn\u2019t do first-strike \nWashington, of course, reserves for itself a \u201cfirst-strike\u201d nuclear capability, which Hillary Clinton fully supports (Donald Trump does not, and for that he\u2019s also demonized). If we allow the current hysteria to literally go nuclear, then we must consider the matter of the S-500 anti-missile system \u2013 which effectively seals Russia\u2019s air space; Moscow won\u2019t admit it on the record because that would unleash a relentless arms race. \nA US intel source with close connections to the Masters of the Universe but at the same time opposed to Cold War 2.0 as \u201ccounter-productive\u201d, adds the necessary nuance; \u201cThe United States has lost the arms race, indulging in trillions of dollars of worthless and endless wars in Afghanistan, Iraq, Syria, Libya, and now is no longer a global power as it cannot defend itself with its obsolete missiles, THAAD, Patriot and Aegis Land Based Ballistic Defense System, against Russian ICBMs, even as the Russians have sealed their airspace. The Russians may be as much as four generations ahead of the US.\u201d \nMoreover, in the deep recesses of shadow war planning, the Pentagon knows, and the Russian Defense Ministry also knows, that in the event some Dr. Strangelove launched a nuclear preemptive strike against Russia, the Russian population would be protected by their defensive missile systems \u2013 as well as nuclear bomb shelters in major cities. Warnings on Russian television have not been idle; the population would know where to go in the \u2013 terrifying \u2013 event of nuclear war breaking out. \nNeedless to add, the ghastly possibility of US nuclear first-strike turns all these WWII-style NATO war games in Eastern Europe into a pile of meaningless propaganda stunts. \nSo how did Moscow plan for it all? According to the US intel source, \u201cthey took out almost all the military budget from their stated federal budget, lulling the West into thinking that Russia could not afford a massive military buildup and there was nothing to fear from Russia as they were finished as a world power. The [stated] military budget was next to nothing, so there was nothing to worry about as far as the CIA was concerned. If Putin showed publicly his gigantic military buildup, the West could have taken immediate remedial actions as they did in 2014 by crashing the oil price.\u201d \nThe bottom line then would reveal the Pentagon as totally unprepared for a hot war \u2013 even as it threatens and bluffs Russia now on a daily basis; \u201cAs Brzezinski has pointed out, if this is the case it means the US has ceased to be a global power. The US may continue to bluff, but those that ally with them will have nowhere to go if that bluff is called, as it is being now called in Syria.\u201d \nThe US intel source is adamant that \u201cone of the greatest military buildups in history has taken place right under the nose of the Russian Central Bank head Elvira Nabiullina and the Russian Ministry of Finance while the CIA awaits what they think will be the inevitable Russia collapse. The CIA will be waiting forever and eternity for Russia to collapse. This MGB maneuver is sheer genius. And demonstrates that the CIA, which is so drowned by data inputs that they cannot connect the dots on anything, must be completely reorganized. In addition, the entire procurement system of the United States military must also be reorganized as it cannot ever keep up if new weapon programs as the F-35 take twenty years to develop and then are found obsolete before they even enter service. The Russians have a five-year development program for each new weapons system and they are far ahead of us in every key area.\u201d \nIf this analysis is correct, it goes against even the best and most precise Russian estimates, according to which military potential may be strong, asymmetrically, but still much inferior to US military might. \nWell-informed Western analysts know that Moscow never brags about military buildups \u2013 and has mastered to a fault the element of surprise. Much more than calling a bluff, it\u2019s Moscow\u2019s Sun Tzu tactics that are really rattling loudmouth Washington. The Essential Saker: from the trenches of the emerging multipolar world $27.95", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0434", + "input": { + "raw_text": "Title: \u2019The Next Revolution? Steve Hilton is the Original RINO\u2019\nAuthor: Oliver JJ Lane\nContent: The chairman of Britain\u2019s oldest conservative think tank has slammed political strategist turned media pundit Steve Hilton for portraying himself as a Tea Party style figure, accusing him of being a liberal \u201cmoderniser\u201d and RINO (Republican in name only). [Speaking to Breitbart London Editor in Chief Raheem Kassam on Breitbart News Daily, Bow Group Chairman Ben said Fox News\u2019s new anchor Steve Hilton and his show The Next Revolution, with its focus on \u201chow corrupt the establishment is\u201d was far from a friend of the people. Explaining how Hilton has contributed to the collapse of Conservative grassroots in the United Kingdom before jumping ship to the U. S. to become a media pundit, said of Hilton and his long association with Britain\u2019s former prime minister: Steve Hilton was really the original moderniser in the Conservative party \u2026 the original RINO. He worked with David Cameron going back 20, 25 years \u2026 came up with him through the ranks of the Conservative party. Their whole basis was to move the Conservative Party leftwards to the centre, to ape what [Labour Party Prime Minister] Tony Blair had done in British politics. It is extraordinary to now see him almost placing himself with the Tea Party movement in the United States. Listing the disastrous and unconservative policies pushed by Hilton in the UK, Kassam said: \u201cLet us not forget this man is somebody who was behind implementing the \u2018big green\u2019 agenda in the United Kingdom, he was behind telling Conservative Members of Parliament that they could no longer espouse conservative views and that they had to hide behind these liberal left approaches to things. His big flagship policy was what they called the \u2018big society\u2019 which really meant big government, and using fluffy words to implement it. \u201d Both Bow Group Chairman and Breitbart host Kassam agreed they were glad Hilton had suddenly performed a and decided his decades of progressive politicking was a mistake as he looked to populism for a new career, but they also said it was time to hear him admit he had been wrong. said: \u201cEveryone can change their views in politics, everyone can change their opinions. But what I\u2019d like to hear from Steve Hilton is an address as to how he was wrong and why we were right. How did he change his views and why?\u201d Kassam went further, demanding Hilton apologise to the public for the damage he had done. He said: \u201cI\u2019d like to have him look squarely down that Fox News camera and say: \u2018I\u2019m sorry for ruining the United Kingdom, I\u2019m sorry for ruining the Conservative Party \u2026 I\u2019m sorry for continuing the legacy of Tony Blair \u2026 I see one of my fellow countrymen masquerading as something that for so many years he was against. He was ridiculing us, he was mocking us. \u2019\u201d remarked in reply that not only had Hilton and his fellow travellers damaged conservatism in Britain, they had also attacked those who sought to defend the old principles of the movement, including his own think tank which had been known as a favourite of former Prime Minister Baroness Margaret Thatcher. Explaining how that damage led to the disastrous result for the Conservative Party in last week\u2019s general election, remarked: They took a very uncompromising attitude towards those who continued to defend conservatism. David Cameron personally tried to wipe both myself and the Bow Group out, and what happened with Steve Hilton and David Cameron was to totally disempower the grassroots membership, who tended to stick to traditional conservative values. All of that has actually led to the general election we just saw because the Conservative Party now has one sixth of the membership of the Labour Party because everyone got extremely annoyed that the leadership of the party held the membership in contempt, and left. That legacy is still having a major effect on British politics. I\u2019m glad Steve Hilton has admitted he\u2019s wrong, but he seems to want to rewrite that history. Steve Hilton worked with the Conservative Party on their failed 1997 general election campaign before becoming the director of strategy \u2014 known as the \u201c man\u201d \u2014 to former British Prime Minister David Cameron, resigning in 2012. LISTEN: Bow Group Chairman Ben speaks to Breitbart London Editor in Chief Raheem Kassam on the Breitbart Daily Show on Sirius XM 125 Patriot: ", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0103", + "input": { + "raw_text": "Title: Greeks Turn to the Black Market as Another Bailout Showdown Looms - The New York Times\nAuthor: Liz Alderman\nContent: ATHENS \u2014 During seven years of a grinding economic crisis, Dimitri Tsamopoulos has lost at least half the clients from his once bustling tax consultancy. But in the past few months, business has jumped, not because the Greek economy is finally recovering but because it is falling even deeper into the abyss. With the Greek government pushing through more tax increases to comply with austerity requirements, more than 21, 000 workers and small firms have shut down in the past two months, with many seeking help from accountants like Mr. Tsamopoulos to close their books. Yet many are not actually closing their businesses. \u201cMost of these people will keep working,\u201d Mr. Tsamopoulos said, arching an eyebrow from behind his desk as clients waited in a smoky room outside. \u201cBut now, they\u2019ll do it on the black market. They\u2019re saying they need a way to survive. \u201d Greece is the crisis that never quite goes away for the European Union, and with another tense negotiation with creditors scheduled for this coming week, the country is struggling to recover from the longest downturn in the eurozone. The policies and reform medicine required by creditors have done little to revive growth, leaving Greece even more dependent on the three international bailouts the country has received since 2010. Few problems are more ingrained, or harder to combat, than the shadow economy, which appears to be growing again as new austerity measures compel once Greeks to go off the books. Greece\u2019s black market is estimated at 20 to 25 percent of the gross domestic product, as more people have stopped reporting their income to avoid paying taxes that, by some estimates, have risen to 70 percent of an individual\u2019s gross income. As of last month, unpaid taxes in Greece had soared to 95 billion euros, up from \u20ac76 billion two years ago. Most of that is considered uncollectable. \u201cThe heart of the matter for an number of citizens and businesses is that they simply do not have the financial resources anymore to meet their rising tax obligations,\u201d said Jens Bastian, an economist and a member of a team of European Union specialists that helped supervise the country\u2019s earlier bailouts. Short on alternatives, he said, \u201cmany are falling back into the gray economy. \u201d Shutting down this gray economy is a priority for Greece\u2019s creditors, even as the two sides are bracing for another showdown, with Athens and its creditors arguing over the latest bailout, worth \u20ac86 billion. Greece is aiming to strike a deal with creditors by Monday, when European finance ministers meet in Brussels to assess if Athens has done enough in overhauling the economy \u2014 and combatting tax evasion \u2014 to unlock bailout funds. Blended into that equation is a standoff between the International Monetary Fund and European countries over how much more austerity to require of Greece. The I. M. F. wants European creditors to further reduce Greece\u2019s mountainous debt, now at 180 percent of economic output, warning that it will spiral out of control otherwise. The European Union is already juggling different crises, including the rise of political populism and the withdrawal of Britain from the bloc, so the possibility of another Greek monetary crisis is alarming. The country risks defaulting on its debts by July, reviving concerns about its place in the eurozone. Businesses and individuals, meanwhile, are struggling to cope in an economy that suffered a devastating shock in 2015, when Prime Minister Alexis Tsipras imposed capital controls and brought Greece to the brink of exiting the euro. Despite a mild recovery, the economy shrank again in the fourth quarter, leaving many Greeks scornful of promises of growth by Mr. Tsipras, whose popularity has slumped. An essential piece of Greece\u2019s recovery plan has been to collect more taxes from a population that has long engaged in tax evasion. An independent tax authority was created and auditors were hired, helping to pull in about \u20ac5 billion more in revenue than expected last year. But businesses and individuals say they have less to give for taxes that keep rising, and a growing incentive to avoid paying. Unemployment remains about 23 percent, and for some people the shadow economy is a lifeline. Others see it as a way to prevent a government they don\u2019t trust from putting their money into a black hole, which is the national debt. Electricians, plumbers, hairdressers, journalists, computer consultants and a variety of other workers have all taken the plunge. On a recent afternoon, Yiannis, a young television production designer, stood in line in a government office to as a consultant. Had he not, he said, his pay this year would amount to just 30 percent of earnings. \u201cIt\u2019s like they force you to become illegal,\u201d said Yiannis, who, like many people, refused to give his full name for fear of attracting the tax authorities. \u201cOf course I\u2019m going to work on the black market. I need to make ends meet. \u201d Yiannis said he had also registered a company in Bulgaria, where the business tax rate is 10 percent, so that he could keep issuing receipts for freelance work. Tens of thousands of Greeks have been registering companies in Bulgaria, Cyprus, Luxembourg and other countries to avoid paying the higher tax bills at home \u2014 which means less revenue for Greece\u2019s coffers and creates unfair competition for entrepreneurs who could potentially play a bigger role in the revival of Greece\u2019s economy. Periklis Ladas, 28, opened a small company in 2014 to sell and install safety equipment and fire prevention systems. Despite the crisis, business at the firm, Knox, grew briskly. Soon, though, Mr. Ladas faced competition from shadow economy operators who offered clients cheaper prices. When he bid on a contract to fireproof a new building, another firm offered to work off the books for half his rate. Mr. Ladas won the job because he provided insurance that the competitor could not. But he had to lower his price, sapping revenue that he wanted to reinvest in the business. More income was lost when clients bought his equipment and hired electricians for the installation. \u201cWe\u2019re trying to be responsible,\u201d said Mr. Ladas, who wants to build a future in Greece rather than leave, as his friends have done. \u201cBut it\u2019s hard to compete against others who don\u2019t pay the same tax as you. \u201d The revenue that he does earn is steadily being eaten away. When he opened, he kept around 60 percent of his profit, after taxes. Today, his take is about 30 percent, after tax increases approved by the Greek government to meet and revenue targets imposed by creditors. \u201cThose who play by the rules are the ones getting punished,\u201d Mr. Ladas said. Even electricians, in a profession rife with shadow economy workers, complain about the competition. In a brightly lit office in central Athens, members of the national electricians union huddled around a table one evening to discuss their plight. \u201cWe\u2019re fighting against people who don\u2019t pay taxes,\u201d said Emmanouil Kafkalas, the general secretary, adding that at least half of electricians worked in the shadow economy. \u201cWe\u2019re losing work because they can charge less. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0337", + "input": { + "raw_text": "Title: Those Threats Are Real\nAuthor: Christopher Manion\nContent: Christopher Manion https://www.lewrockwell.com/lrc-blog/threats-real/ \nBack in the 1980s, I was involved in Senate hearings that exposed some of the corruption in the Mexican government, business elites, police, and the military. \nWe were only touching the tip of the iceberg, of course, but the State Department vehemently opposed us nonetheless (yes, there were neocons there then as well). \nThe hearings were ignored in the States, but they raised Hell in Mexico, and that meant that it raised Hell in the coven of apparatchiks at State as well. They did their best to retaliate, and, fortunately, the leader of the pack pleaded years later to federal charges of lying to Congress (\u201cHey, doesn\u2019t everybody???!!\u201d) on another matter (Sometimes the chickens do come home to roost.). \nBut the Mexican corruptos were a different breed. Nobody was going to bring them to justice \u2013 the ruling PRI (then and now) was seamlessly coordinating and cooperating with the drug gangs, the military killers, and the corrupt elites. \nSeveral years later, I planned to attend a conference in Mexico City \u2013 where I used to live, but had not visited since our hearings. Then, out of nowhere, at a social function, a diplomat from the Embassy of Mexico in Washington approached me and said, \u201cI hear you\u2019re going to Mexico.\u201d (How did she know?) \n\u201cGo nowhere alone,\u201d she said sternly. \u201cStay in your hotel after dark. Travel only with the other conferees on the bus (she knew everything about this very non-political conference). And NEVER hail a cab!\u201d \nSo there I was. I couldn\u2019t go to the Shrine of Our Lady of Guadalupe. I couldn\u2019t go visit old friends in their homes. I couldn\u2019t even go look at the house in Colonia Polanco where Stalin\u2019s secret agent from Barcelona killed Leon Trotsky with a pickaxe. \nSo I asked this generous woman, who was probably risking her career, why she was telling me this. \n\u201cThey have long memories. They have a kill list. I\u2019ve seen it,\u201d she said. \nPeriod. \nThe (im)moral of the story: Death threats are real. So this recent headline caught my attention: \nDave Schippers, who served as the Chief Investigative Counsel for the House Judiciary Committee\u2019s probe into whether Bill Clinton committed impeachable offenses, is \u201cterrified by Hillary Clinton.\u201d \nRead it . He wanted to investigate everything, including the corruption, the cattle futures, the murders \u2013 not only Vince Foster\u2019s, but all those folks in Arkansas But he was waved off. He read every single document that had been collected on the breadth and depth of the Clinton Corruption Machine, but he was stiffed by unidentified higher-ups. \nEver since, he\u2019s watched his back. I\u2019m sure that he can\u2019t walk around alone at night, or hail a cab on a busy street, or take his kids to the park. \nWhy? Because death threats are real. Ignore them and you die.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0221", + "input": { + "raw_text": "Title: Two Izadi women who escaped Daesh win EU\u2019s top rights award\nAuthor: nan\nContent: EU In this December 30, 2015 photo, Iraqi Izadi Nadia Murad Basee (C) is welcomed by Greek President Prokopis Pavlopoulos (R) before their meeting in Athens. (Photo by AP) \nThe European Parliament has awarded two Iraqi women from the Izadi minority group its prestigious human rights prize. \nOn Thursday, Nadia Murad and Lamia Haji Bashar won the European Parliament's prestigious Sakharov Prize for Freedom of Thought for their plight when they, along with other women and girls were abducted, tortured and sexually abused by Daesh terrorists after the militants overran northern Iraq two years ago. \nThe two were awarded the prize as part of efforts to protect the Izadis, who are followers of an ancient religion mostly practiced by more than half a million people in northern Iraq. \nThe community members, especially women, have been subject to torture, sexual abuse and slavery by Daesh. \nEuropean Parliament chief, Martin Schulz, hailed the two Izadi women for their bravery, saying they had\u201ca painful and tragic story\u201d but \u201cfelt compelled to survive to bear witness.\u201d \n\"The courage of these two women, [and] the dignity they represent defies all description,\u201d Schulz told the assembly in Strasbourg. This photo taken on May 5, 2016 shows Lamia Haji Bashar, an 18-year-old Izadi girl who escaped Daesh, in northern Iraq. (Photo by AP) \nDaesh abducted Murad from her home village of Kocho near Iraq's northern town of Sinjar in August 2014. The slight, softly-spoken young woman, who is now 23, was then brought to the city of Mosul, where she was tortured and raped. \nBashar, from the same village, was enslaved and sold two years ago after watching the slaughter of her family and friends by Daesh. The 18-year-old then fell prey to an Iraqi hospital director after 20 months of captivity. She later lost her right eye in a mine explosion which hit one of her friends. \nThe annual Sakharov human rights prize honors individuals who combat intolerance, fanaticism and oppression. It is named after dissident Soviet scientist Andrei Sakharov, who died in 1989. Loading ...", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0028", + "input": { + "raw_text": "Title: A Supreme Court Not So Much Deadlocked as Diminished - The New York Times\nAuthor: Adam Liptak\nContent: WASHINGTON \u2014 The Supreme Court has gone into hibernation, withdrawing from the central role it has played in American life throughout Chief Justice John G. Roberts Jr. \u2019s decade on the court. The court had leaned right until the death of Justice Antonin Scalia in February. According to the conventional wisdom, the court is now evenly divided and large numbers of ties are inevitable. But the truth is more complicated. The court is not deadlocked so much as diminished. The justices will continue to issue decisions in most cases, but many will be modest and ephemeral, like Monday\u2019s opinion returning a major case on access to contraception to the lower courts for further consideration. \u201cWe\u2019re seeing an even greater push for broad consensus and minimalist rulings, and a majority of the court seems willing to go along with that approach,\u201d said Jonathan H. Adler, a law professor at Case Western Reserve University. Opinions vary about whether a Supreme Court that does little is good for the nation, but the trend is certainly a testament to Chief Justice Roberts\u2019s leadership. He has long said he favors narrow decisions endorsed by large majorities, and it turns out that goal is easier to achieve on an court. In public remarks in April, Justice Elena Kagan described a court that is now \u201cespecially concerned\u201d about finding ways to achieve consensus. \u201cAll of us are working hard to reach agreement,\u201d she said. \u201cI give great credit to the chief justice, who I think in general is a person who is concerned about consensus building, and I think all the more so now,\u201d she added. \u201cHe\u2019s conveyed that in both his words and his deeds. \u201d The resulting minimalism is good news, said Eric J. Segall, a law professor at Georgia State University. \u201cYesterday\u2019s contraception case shows why an equally divided court among liberals and conservatives has many benefits for our country, and also why the claims by many court watchers about an court are overstated,\u201d he said Tuesday. In the contraception case, Zubik v. Burwell, No. the court\u2019s unanimous unsigned opinion urged lower courts to find a compromise, one that Professor Segall said \u201cmay lead to a better solution for both sides. \u201d The opinion sought to bridge the gap between religious groups that wanted no part in providing contraception coverage to their female employees and the Obama administration, which wanted to make sure the coverage remained easily accessible \u201cThis type of consensus decision making,\u201d Professor Segall said, \u201cis a welcome change from the normal political and sometimes partisan approach we normally see in important opinions, where one side can impose its own agenda on the parties and the country. \u201d Republican senators have vowed not to confirm President Obama\u2019s Supreme Court nominee, Judge Merrick B. Garland, saying the choice of a replacement for Justice Scalia should go to the next president. That would leave the court for many more months. In the meantime, the Roberts court is in important ways dominated by the court\u2019s liberal wing, which can now block efforts to move the law to the right. A prime example came in March, when the court deadlocked in a case that had threatened to cripple unions, Friedrichs v. California Teachers Association, No. . When the case was argued in January, the court\u2019s conservative majority seemed ready to say that forcing public workers to support unions they had declined to join violated the First Amendment. Justice Scalia\u2019s questions were consistently hostile to the unions. There are many other ways to assess the shift in the balance of power since Justice Scalia\u2019s death. Four days before he died, the court blocked the Obama administration\u2019s effort to combat global warming by regulating emissions from power plants. The vote was 5 to 4, with the court\u2019s conservatives in the majority. Just three weeks later, in a significant victory for the Obama administration, Chief Justice Roberts refused to block a different regulation limiting emissions of mercury and other toxic pollutants from power plants. And last Thursday, a deadlocked court refused to vacate a stay of execution of an Alabama man, Vernon Madison, with the court\u2019s four conservatives saying they would have let the execution proceed. Had Justice Scalia lived, Mr. Madison would almost certainly have died. The court has three major decisions left to decide before the justices take their summer break: on abortion, immigration and affirmative action. In the first two, tie votes would leave in place conservative appeals court decisions but set no Supreme Court precedent, allowing the justices to return to the broader legal issues in later cases. At the argument in March in the abortion case, Whole Woman\u2019s Health v. Hellerstedt, No. Justice Anthony M. Kennedy said that it could be useful to return the case to the lower courts to develop more evidence. That approach would yield another minimalist decision. When the court agreed in January to hear the immigration case, United States v. Texas, No. conservatives hoped for a major ruling on presidential power. They were particularly heartened when the court took the unusual step of asking the parties to address the question of whether Mr. Obama had violated his constitutional obligations to enforce the nation\u2019s laws. But when the case was argued before eight justices in April, a deadlock seemed likely and a sweeping decision on executive power was off the table. There is one case in which the court could still take a step to the right, Fisher v. University of Texas at Austin, No. a challenge to the university\u2019s admissions plan. Justice Kagan has recused herself, based on her work on the case as United States solicitor general. That means Justice Scalia\u2019s death eliminated rather than created the possibility of a tie. All of this term\u2019s blockbusters were added to the court\u2019s docket before Justice Scalia died. Since then, the justices have agreed to hear just seven cases, and none of them concern issues of broad public interest. Several involve intellectual property and procedural issues unlikely to produce ideological splits. The next term, which starts in October, is thus shaping up to be a thin and quiet one. Until the next justice arrives, the Supreme Court will remain on the sideline of American life. \u201cThe court will be on the front pages less often,\u201d said David A. Strauss, a law professor at the University of Chicago. \u201cThe justices won\u2019t have so much trouble with relatively technical cases, and some of those can be very important to the legal system,\u201d he added. \u201cBut they will either stay away from the most controversial cases or do what they\u2019ve been doing over the last few months \u2014 deciding those cases in a way that postpones, maybe indefinitely, the day of reckoning on the most divisive questions. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0480", + "input": { + "raw_text": "Title: Refugees Discover 2 Americas: One That Hates, and One That Heals - The New York Times\nAuthor: Adeel Hassan\nContent: DUNDALK, Md. \u2014 Ra\u2019ad and Hutham Lalqaraghuli are no longer sure which America they\u2019re a part of. Is it the hateful country they confronted a few weeks before the presidential election, when someone left a note at their door that said, \u201cTerrorist Leave no one wants you here\u201d? Or is it the generous country of welcoming strangers who heard about their ordeal and showered them with gifts and cards with positive messages? The victory of Donald J. Trump has intensified their whiplash. After a year in the Maryland suburbs, having arrived with their four children as refugees from Iraq, they find themselves comparing the threats they fled with those that might still emerge. They did not sleep on election night after watching television coverage of the results. They are \u201cvery afraid and worried,\u201d Mr. Lalqaraghuli said on Wednesday. \u201cWe don\u2019t know what this will mean. \u201d Their confusion, and the divided response to the family\u2019s presence here, mirrors the experience of many other refugee families and Muslim Americans. In the past week, even as advocates report a steep rise in attacks and acts of intimidation against blacks, Muslims and immigrants \u2014 and on women wearing hijabs \u2014 many of those episodes have been followed by public acts of support and solidarity. At Baylor University in Waco, Tex. hundreds of students and faculty members walked to class with Natasha Nkhama, a black student, after a friend posted a video of her describing an episode in which she was called a racial slur and forced off a sidewalk by someone who said, \u201cI\u2019m just trying to make America great again. \u201d In Georgia, Mairah Teli, a Muslim teacher at Dacula High School, posted a photograph of an anonymous note she received on Friday that said she should \u201ctie\u201d her head scarf around her neck and \u201chang yourself with it. \u201d A day later, she wrote in another Facebook post: \u201cI am overwhelmed and deeply touched by all of the outcry and support that I have received in the past 24 hours. I can\u2019t even begin to articulate how touched I am to be receiving messages from all over the country with your support. \u201d Acts of hate and intimidation, according to the Southern Poverty Law Center, occurred across the country during the campaign, and have increased significantly since Mr. Trump was declared the . But the back and forth between acceptance and rejection can be particularly confusing for new arrivals like the Lalqaraghulis. Their new home of Dundalk is an suburb of Baltimore, one of the many communities where the nation\u2019s battles over identity have become most intense. It was once a lively hub of workers filing into plants for Bethlehem Steel, General Motors and other manufacturing giants. Now it is dominated by strip malls. Ra\u2019ad Lalqaraghuli said he was initially eager to call it home. \u201cWhen I arrived in America, I was so happy,\u201d Mr. Lalqaraghuli, 43, said. \u201cIt\u2019s my dream country for my children. \u201d He\u2019d had experiences with Americans before. A graduate of Mosul University, in 2004 he began working as a group engineer for American contractors and the United States Army Corps of Engineers to help rebuild his country after the American invasion. A promotion to project manager in 2009 led to his overseeing the construction of water treatment plants and several schools in Baghdad and two cities south of the capital, Nasiriya and Basra. But his work for the Americans also brought him unwanted attention from terrorist groups. He spent one winter sleeping outside in the forest, to keep himself hidden, while his wife and children stayed with her family. Militants from the Islamic State abducted two of his younger brothers and one older brother instead. \u201cThey said, \u2018In exchange for you, we\u2019ll give them back. \u2019\u201d He and his father didn\u2019t believe them, and the three brothers were killed. His work on behalf of the United States government made him and his family eligible for humanitarian protection under special immigrant visas. Lawyers in New York supported his application, and he received approval quickly. Then, last year, a militia bombed the family home. \u201cI lost everything,\u201d Mr. Lalqaraghuli said. At the Baghdad airport, heading to the United States, he still worried that he was being followed. All he had was his plane ticket, his passport, $100, and his wife and four children. Betsy Fisher, the deputy policy director of the New International Refugee Assistance Project, which resettled the family, said she was dismayed to learn of its newfound anxiety, especially after the many attempts on Mr. Lalqaraghuli\u2019s life for several years by different groups in Iraq. \u201cThe people who enter this country as refugees are fleeing from terrorism,\u201d she said. \u201cThey cannot live in a place with violence. \u201d She added of the message posted on the family\u2019s door, \u201cNot only is a note like this horrifying, it should be deeply embarrassing for every American that this family was threatened, because the reason they are in this country is because he was of service to our country. \u201d Advocates \u2014 like the Council on Relations, which is helping the family \u2014 say that many refugee families are reluctant to come forward when they become victims of hate crimes because they fear a greater backlash. But after the note appeared \u2014 with a crude drawing of a woman in a hijab \u2014 Mr. Lalqaraghuli notified the police, telling an officer in the neighborhood who happened to be on a foot patrol near his apartment. The police said that the note had been written by a neighbor, and that officers had talked to her and her parents but determined that no crime had been committed. The neighbor\u2019s family did not respond to a message requesting comment. Criminal or not, the episode was enough to stir up a response \u2014 an effort to counter intolerance. Alta Haywood, a retired teacher who lives in Perry Hall, Md. sent the family a towering fruit basket and included a note that read in part, \u201cI sincerely hope that other people in the area show you that they can be kind and accepting. \u201d Another Dr. Lindsay Fitch, said the news of what had happened to the family \u201cjust grabbed me more personally. \u201d While talking to her two children about it, she said, she decided to send the family the most American of welcomes: a apple pie and a pumpkin pie. Included in her card were a photograph of her family and an invitation to have their families get together. \u201cI wanted to welcome you to the Baltimore area,\u201d she wrote. \u201cThere are a lot of people here who want to welcome you with open arms. Hopefully, you\u2019ll find that welcome. Remember us when you encounter ugliness. \u201d Mr. Lalqaraghuli, who works as a driver, said he greatly appreciated the outpouring of support. But after Mr. Trump\u2019s victory, he said, it is hard to trust that acceptance will emerge as the country\u2019s dominant force. He missed two weeks of work after the note was left, because, he said, his children felt safer when he was around. His youngest, Abdullah, 5, no longer sleeps in his own room. He joins his parents instead. \u201cBecause he sees when militias come to my home, they come with the weapons,\u201d Mr. Lalqaraghuli said. He was referring to their life in Baghdad. But as soon as possible, he said, his family will be looking to move out of Dundalk and start fresh in another town or state.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0201", + "input": { + "raw_text": "Title: The Brain That Couldn\u2019t Remember - The New York Times\nAuthor: Luke Dittrich\nContent: \u2018Can you tell me who the president of the United States is at the moment?\u201d A man and a woman sat in an office in the Clinical Research Center at the Massachusetts Institute of Technology. It was 1986, and the man, Henry Molaison, was about to turn 60. He was wearing sweatpants and a checkered shirt and had thick glasses and thick hair. He pondered the question for a moment. \u201cNo,\u201d he said. \u201cI can\u2019t. \u201d The woman, Jenni Ogden, was a visiting postdoctoral research fellow from the University of Auckland, in New Zealand. One of the greatest thrills of her time at M. I. T. was the chance to have sessions with Henry. In her field \u2014 neuropsychology \u2014 he was a legendary figure, something between a rock star and a saint. \u201cWho\u2019s the last president you remember?\u201d \u201cI don\u2019t. . .. \u201d He paused for a second, mulling over the question. He had a soft, tentative voice, a warm New England accent. \u201cIke,\u201d he said finally. Dwight D. Eisenhower\u2019s inauguration took place in 1953. Our world had spun around the sun more than 30 times since, though Henry\u2019s world had stayed still, frozen in orbit. This is because 1953 was the year he received an experimental operation, one that destroyed most of several seated structures in his brain, including his hippocampus, his amygdala and his entorhinal cortex. The operation, performed on both sides of his brain and intended to treat Henry\u2019s epilepsy, rendered him profoundly amnesiac, unable to hold on to the present moment for more than 30 seconds or so. That outcome, devastating to Henry, was a boon to science: By 1986, Patient H. M. \u2014 as he was called in countless journal articles and textbooks \u2014 had become arguably the most important human research subject of all time, revolutionizing our understanding of how memory works. Of course, Henry didn\u2019t know that. No matter how many times the scientists told him he was famous, he\u2019d always forget. (It was an odd sort of fame: The scientists kept even his first name a closely guarded secret from the outside world and didn\u2019t reveal it until after his death, when it was unveiled in a obituary in this newspaper.) Similarly, Henry didn\u2019t know why he was in a wheelchair that day, in the office at M. I. T. because he didn\u2019t remember badly spraining his ankle a few weeks before. He had big ears, big hands and, often, a big smile. Earlier, Ogden asked if he could place her accent, and he guessed that she was British, then Canadian, then Swedish. She gave him a short list to choose from, and eventually he made his way to New Zealand. She then asked if he could tell her anything about New Zealand. He impressed her by noting, correctly, that it was a country of two islands. In his spare time, Henry liked doing crossword puzzles, and his knowledge of geography was decent. This was one of the things about Henry that fascinated scientists: His amnesia often appeared, as they termed it, pure. There was an abyss in his brain that all the passing events of his life tumbled into, but on the surface he could seem almost normal. \u201cNow,\u201d Ogden continued, \u201cif I tell you that the president now used to be a film star, does that help? Not a very good film star, but he used to be one a long time ago. I think he used to be a film star in westerns. And he\u2019s the president of the United States. Rea . .. ?\u201d The syllable tripped a circuit in Henry. \u201cReagan,\u201d he said. \u201cReagan! Very good. Do you remember he used to be a film star?\u201d \u201cWell, yes. \u201d They spoke for a while about other film stars he remembered. Gary Cooper. Myrna Loy. Jimmy Stewart. \u201cWhat about Frank Sinatra?\u201d Ogden asked Henry. He considered the question. \u201cWell,\u201d he said, \u201che did a lot of singing, and he was in films and on the stage and radio and records. \u201d \u201cDo you think he\u2019s still alive, Frank Sinatra?\u201d Henry paused. \u201cThere I don\u2019t know. \u201d The scientists posed these sorts of questions to him, questions about who was living and who was not, relentlessly. They wanted to see if even the most drastic events \u2014 and nothing in life is more drastic than death \u2014 had failed to stick. At one point, Henry responded to some other questions of Ogden\u2019s by telling her that he thought he lived at home with his mother in East Hartford, but he wasn\u2019t sure about his father, because he had a feeling that maybe his father had died. In fact, Henry lived in a nursing home when he wasn\u2019t living at the M. I. T. Clinical Research Center, and both his parents were long deceased. Henry would learn of someone\u2019s death and grieve in his own quiet way, but if he wasn\u2019t constantly reminded of his loss, that person would soon slowly come back to life in his mind. This cycle of death and resurrection may have been painful. For a while, Henry made a habit of carrying around a little scrap of paper reminding him that his father was dead. Now Ogden asked about someone who was still living, someone who was neither a celebrity nor a relative, but someone who loomed large to Henry. \u201cWho or what,\u201d she asked, \u201cis Sue Corkin?\u201d \u201cWell. She was a . .. like a senator. \u201d \u201cA senator?\u201d \u201cYeah. \u201d The relationship between Suzanne Corkin and Henry Molaison was one of those that appear, when traced to their roots, to be almost fated. Corkin was born in Hartford Hospital, the same hospital where Henry received his operation. She grew up across the street from the neurosurgeon who operated on him and was close friends with the surgeon\u2019s daughter. The two girls would gossip deep into the night on telephones strung between their bedroom windows. They ended up going off to Smith College together. Corkin majored in psychology and, upon graduation, went to Montreal to pursue a master\u2019s and a Ph. D. at McGill University. There, her adviser turned out to be a woman named Brenda Milner, a brilliant neuropsychologist who in 1957 had written \u2014 with Corkin\u2019s old neighbor, the neurosurgeon \u2014 the first groundbreaking paper about Patient H. M. After Milner moved on to other interests, Corkin moved in, and by the 1970s had inherited her mentor\u2019s most important research subject, becoming the lead researcher in his case. Corkin built much of her subsequent career on the back of her privileged access to Henry and became both his gatekeeper \u2014 fielding requests from other scientists who wished to meet him \u2014 and his chief inquisitor. Fated or not, Henry and Corkin\u2019s relationship was unusual, in that it was almost entirely sided. Corkin knew Henry intimately, spending decades gathering the most minute details of his strengths and his deficits. But Henry, squinting through the haze of his amnesia, didn\u2019t know the first thing about Suzanne Corkin. Each of the hundreds of times they met, it was, for Henry, a first meeting, though over the years little shards of feelings and associations seemed to have accrued. Maybe it\u2019s understandable that Corkin\u2019s name would eventually spark the image of a senator in Henry\u2019s mind, because she became such a dominant authority figure in his life. The history of brain science is rich in these sorts of sided relationships. A great deal of what we know about how our brains work has come about through intensively scrutinizing individuals whose brains don\u2019t work. An accident jettisons an iron rod through the left frontal lobe of a mannered railroad foreman named Phineas Gage, transforming him into a hellion, thus allowing researchers to begin deducing the functions of those oversized saddlebags behind our forehead and eyes. A man with a lesion to the left superior temporal gyrus is unable to understand what\u2019s said to him, spurring the neurologist Carl Wernicke to conclude that this area must be essential to language comprehension. Another man, with a lesion to the left inferior frontal gyrus, is able to understand speech but can\u2019t articulate any words himself, other than a single syllable \u2014 tan, tan \u2014 providing a French surgeon named Paul Broca a glimpse of the cerebral root of language production. In that pantheon of illuminatingly broken men and women, Henry stands apart. It is difficult to exaggerate the impact he has had on our understanding of ourselves. Before Brenda Milner collaborated on that first paper about Henry, the prevailing theory of memory held that its functions could not be localized to a single cortical area, that learning was distributed across the brain as a whole. By that theory \u2014 built upon the experimental lesioning of the brains of rats \u2014 a person\u2019s memory would be affected only in proportion to the amount of brain tissue removed, regardless of which brain structures the tissue was removed from. Milner\u2019s first paper about Henry, along with her previous work, upended this view. She demonstrated, with elegance and rigor, that Henry\u2019s amnesia was profound \u2014 possibly the most catastrophic she had ever seen \u2014 and declared that it must have been a result only of the relatively small and specific bilateral lesions to his hippocampus and other medial temporal structures left by the operation. This was an astonishing revelation. It was not the last. Five years after Milner\u2019s first paper about Henry, she published a second that was almost as revelatory. That paper documented Henry\u2019s gradual improvement over a period on a difficult coordination task. His improvement came despite his inability to ever remember his previous attempts at the task, indicating that there are at least two different memory systems in the brain \u2014 one responsible for our conscious, episodic memories, the second responsible for related \u201cprocedural\u201d memories \u2014 and that these two systems seem to rely on entirely distinct parts of the brain. This was another fundamental step forward in our understanding of how memory works. Together, Milner\u2019s two related revelations can be viewed as the cornerstones of modern memory science. After Corkin took over the research, the revelations kept coming, though now they were of a smaller scale. Corkin and her colleagues added fine detail to the portrait of Henry\u2019s damaged condition, filling in gaps, but the weight of their work could seem slight when compared with Milner\u2019s monumental achievements. Corkin and her colleagues learned that if you placed a inflicting device called a dolorimeter to Henry\u2019s chest, he wouldn\u2019t complain even as his skin began to turn red and burn. She learned that if you presented him with two dinners in a row, he would eat them both, because by the time he began the second he would have forgotten the first. She learned that he was apparently asexual and that there was no evidence of his ever even masturbating. She learned the ins and outs of his temperament, the frequency of his tantrums, the patterns of his infrequent complaints. She noted the odd exceptions to his amnesia, like the fact that Henry, after years of watching the sitcom \u201cAll in the Family,\u201d eventually came to know that Archie Bunker\u2019s was called Meathead. Corkin cataloged his verbal tics, his malapropisms, his stock phrases. \u201cI\u2019m having an argument with myself,\u201d Henry would say, over and over and over again. As the experiments piled up and the data accumulated, Henry became a boon not just to science but also to Corkin\u2019s career. She started her own lab at M. I. T. and although she and her colleagues conducted research in a number of areas, the papers that generated the most attention were always the ones about Henry. When they first met, Corkin was a young graduate student in her 20s. She grew older. She became a renowned professor of neuroscience at one of the world\u2019s greatest universities. Henry grew older, too, though he wasn\u2019t exactly aware of it. In Henry\u2019s later years, people were always asking him how old he thought he was, and he would make a series of guesses. Was he in his 30s, his 40s, his 50s? He had only the vaguest sense of the passage of time. Then someone might pass him a mirror and watch him gaze into his own elderly eyes. \u201cI\u2019m not a boy,\u201d he would say, finally. Henry died on a winter afternoon in 2008. The next morning, Corkin peered through a window into an autopsy room at Massachusetts General Hospital, watching as two men cut off the top of Henry\u2019s skull. For 46 years, Corkin had been having her sided meetings with Henry, endlessly introducing herself to an old friend. Now she was having one last encounter that only she would remember. The men carefully pulled out Henry\u2019s brain, and Corkin gazed at it through the glass, marveling at this object she had spent her career considering at one step removed. Later, reflecting on that moment, Corkin could think of only one word to describe her feelings. She was, she wrote, \u201cecstatic. \u201d It would be reasonable to assume that the strange relationship between Suzanne Corkin and Henry Molaison ended that day, but that assumption would be wrong. As it turned out, some of the most astonishing, and troubling, episodes in the long saga of Suzanne Corkin and Henry Molaison were still to come. Late last fall, I rode an elevator to the fifth floor of M. I. T. \u2019s Brain and Cognitive Sciences Complex and walked down a long red hallway toward Suzanne Corkin\u2019s office. I had known Corkin since I was a kid. Remember her friend, the surgeon\u2019s daughter, the one she telephoned with as a little girl? That\u2019s my mom. The surgeon who performed the experimental operation on Henry was my grandfather. When I was growing up, Corkin was a staple at my mom\u2019s dinner parties. We had met many times before. This meeting was going to be different. I was in the final stages of writing a book about Henry, and Corkin was a central figure in it. Until then, however, she had been mostly inaccessible to me. If I ever hoped that my personal connection to Corkin would provide me any sort of privileged access, I had long since given up. When I first explored the possibility of writing about Henry, he was still alive, but I abandoned that effort after Corkin presented me with a confidentiality agreement stating that M. I. T. would allow me access to the \u201cresearch project entitled \u2018The Amnesic Patient H. M.\u2019\u2019u2009\u201d only if the university had editorial control over anything I intended to publish. After Henry died and I decided to take another run at telling his story, Corkin turned down repeated interview requests, telling me that she was working on her own book about Henry and that her literary agent had advised her not to speak with me. That time, I didn\u2019t drop the project. Instead, I spent years shuttling between dusty archives and edge laboratories, speaking with other researchers who had worked with Henry and other neurosurgeons who had worked with my grandfather. I followed Henry\u2019s trail down all sorts of unexpected paths, and what I uncovered was alternately fascinating and disturbing, starting even before the day my grandfather drilled two holes in Henry\u2019s head, levered up his frontal lobes and suctioned out some of the deepest and most mysterious structures in his brain. The questionable ethics that were the backdrop to Henry\u2019s operation \u2014 a catastrophic blurring of the lines between medical research and medical practice \u2014 became clear early on, but my reporting also eventually raised serious questions about Henry\u2019s treatment after he left the operating room, during the decades he spent as a human research subject, as well as in the eight years that have passed since his death. Corkin welcomed me into her office and sat down across from me at a small round table. She was 78 and had retired from her research and teaching duties. She had short reddish hair and framed glasses. She had always been petite, but she looked unusually thin because she was battling a serious illness. She offered me a French chocolate from a glass bowl. I was grateful that she had finally agreed to an interview, though from the outset it was clear that this wasn\u2019t going to be an easy one. Her answers were generally curt, offering the bare minimum of information in a clinical, dispassionate way, even when talking about major milestones in her past. Shortly after we began, I asked whether she could describe the first time she met Henry, that initial encounter with the man who would go on to define her life\u2019s work, and this is what she said: \u201cNo, but that\u2019s not surprising. Because what you\u2019re asking for is an episodic memory, and episodic memories typically don\u2019t last that long, no matter what the situation is. Now, I\u2019m sure there are exceptions, when, you know, say, somebody\u2019s being raped, and she remembers every little detail of that event. But what probably happened in cases like that, that are very emotional, is that they were repeated many times after. They were rehearsed, mentally, and became semanticized. So no, I don\u2019t remember what it was like to first shake hands with Henry, but if I did, it would probably be fiction rather than fact. \u201d Some of my most pressing questions had to do with a much more recent episode. Specifically, I wanted to ask Corkin about a secret custody war that had just been waged over Henry\u2019s brain. It was a war very few people knew about, and it was a war she had won. It was also a war with serious implications, not just for the future of memory science but for its past. When I brought up the subject, Corkin pursed her lips. \u201cI\u2019m not going into this at all with you,\u201d she said. \u201cNot at all?\u201d I said. \u201cBecause I\u2019d like to \u2014 \u201d Corkin cut me off. \u201cYou would, and so would everybody else. \u201d The story of the war over Henry\u2019s brain didn\u2019t begin in a fancy conference room on Fifth Avenue in Manhattan, but that\u2019s where one of its climactic battles would take place. It was March 2013, and there were more than a dozen participants, an impressive roster of scientists and administrators affiliated with four major institutions \u2014 M. I. T. Mass General the University of California, Davis and the University of California, San Diego \u2014 as well as two major giving organizations, the Dana Foundation and the Simons Foundation. But the essential participants, the chief antagonists, were Suzanne Corkin and a man named Jacopo Annese. Annese was a neuroanatomist. He was Italian, charismatic and handsome, and he drove a 1986 Porsche. seven years old at the time, he had labored as a cook before he embarked on his present career. He liked using cooking analogies to explain the various elements of his work: For example, the craft of neurohistology \u2014 which can involve mounting and dyeing delicate slivers of neural tissue \u2014 was a lot like baking, he said, because in both endeavors the temperatures and times must be finely calibrated, precisely tuned, with little room for improvisation. He had lived in the United States for nearly two decades, climbing the rungs of an academic ladder that took him from the University of Rome to Dartmouth to the University of California, Los Angeles, to a position at the University of California, San Diego, where he founded his own laboratory, a place he called the Brain Observatory. The Brain Observatory had the simple but ambitious goal of amassing the world\u2019s most useful collection of brains. Its utility wasn\u2019t ever going to be a function of its size \u2014 there were brain banks whose scale Annese couldn\u2019t compete with \u2014 but rather would depend on its curation and its methods. Annese wanted to acquire exceptional brains, and he wanted to preserve them through an extraordinary process that he and his colleagues had developed. Corkin was impressed when she met Annese and later chose him to receive the object that would become the cornerstone of his collection. Not long after Corkin watched Henry\u2019s brain being removed from Henry\u2019s skull in 2008, she carried it in a small cooler to a JetBlue gate at Logan Airport in Boston, passed it to Annese and watched him walk down the ramp to the plane. Annese had bought two tickets, one for him and one for Henry. Back in San Diego, Annese kicked off what he dubbed Project H. M. with what was possibly the most successful publicity stunt in the history of neuroscience. Near the first anniversary of Henry\u2019s death, he streamed the act that would enable all the work to follow: a partitioning of Henry\u2019s brain into 2, 401 thin slices. The stream registered 400, 000 views, and it was catnip for science writers. During the silent feed, Annese placed little notes on the slicer, giving viewers a sense of the vibe in his lab. \u201cPlaying the White Album now,\u201d one said. After the spectacle died down, Annese and his labmates undertook the slow, glamourless, painstaking process of mounting the slices onto slides. They also began using the \u201c images\u201d \u2014 resolution pictures made during the slicing, when a camera mounted above the slicer snapped a shot just before each pass of the blade \u2014 to create a dimensional model of Henry\u2019s brain, one that could be whirled around and zoomed in and out of at will. Annese kept in touch with Corkin throughout these early stages of Project H. M. sending her updates addressed \u201cCara Sue\u201d and receiving in return smiley emoticons. Then, some months after the slicing, Corkin began asking for Henry\u2019s brain back. At first, she and her colleagues asked for only parts of the brain and some of the data Annese had produced with it \u2014 the images and tissue samples for a neuropathology exam. Annese was wary of handing over data before they had an agreement for how his work would be credited. He gave Corkin and her colleagues some of what they asked for, but not all of it. He hadn\u2019t finished his work, and after investing so many resources, he expected more clarity. The longer Annese stalled, the more insistent Corkin\u2019s demands became. Eventually, Annese prepared a paper based on his analysis of Henry\u2019s brain and asked Corkin to contribute to it. But the dialogue between them was fraying. Shortly after Annese submitted the paper to the journal Nature Communications without Corkin\u2019s participation, the summit was called in New York. The parties gathered around the table, with Gerald Fischbach, then the director of life sciences at the Simons Foundation, assuming the meeting chair. After everyone introduced themselves and Annese presented his work on Henry\u2019s brain, Fischbach asked Annese for his views on the brain\u2019s custody. Two weeks earlier, M. I. T. sent U. C. S. D. a formal letter requesting that it turn over all 2, 401 slices of Henry\u2019s brain to a scientist M. I. T. had selected. \u201cI never felt like I owned the brain,\u201d Annese said. He told the group that he didn\u2019t really care where Henry\u2019s brain ultimately resided, though he wanted to make sure that whatever happened, he and his labmates would receive fair credit and recognition for all the time and money and labor they had invested. It appeared that the question of where Henry\u2019s brain would ultimately be housed \u2014 whether it would remain with Annese at U. C. S. D. or be moved at M. I. T. \u2019s request \u2014 might be settled quickly. \u201cAnd how would you like to set this up,\u201d Fischbach asked, \u201cif it doesn\u2019t really matter where the tissue is? Do you want to resolve that now? Or let the committee decide it?\u201d Corkin interjected. \u201cIt\u2019s not a decision by the committee,\u201d she said. \u201cBecause it\u2019s a decision by the people who own the tissue. And that\u2019s M. G. H. and M. I. T. And our decision is that we would like it to go to David\u2019s lab. \u201d By David, she meant David Amaral, who directed research at the MIND Institute at the University of California, Davis. M. I. T. and Mass General were proposing to transfer Henry\u2019s brain to the MIND Institute, though not to relinquish ownership. \u201cIn what sense do you own the tissue?\u201d the chairman asked. \u201cWe have a donation form,\u201d Corkin said. She then passed a stack of photocopies of an old document around the table. The document appeared to show that Henry and his closest living next of kin had agreed, 16 years before Henry\u2019s death, to donate Henry\u2019s brain to M. I. T. and Mass General. Although the donation form seemed to settle the matter of the brain\u2019s ownership, the meeting became increasingly contentious. One item on the agenda was a discussion of the Nature Communications paper, which Corkin did not want to be published. Annese made what he hoped would be taken as a conciliatory gesture, telling Corkin that the journal\u2019s editors had agreed to add her name as a author. Corkin said that adding \u201cnames to that paper isn\u2019t going to make it publishable. \u201d She continued: \u201cIt needs to be rewritten, as a serious scientific document. \u201d \u201cIt\u2019s not a serious scientific document?\u201d Annese asked. \u201cIt\u2019s not sophisticated scientific writing,\u201d Corkin said. \u201cThat\u2019s not what the other three reviewers said. \u201d The chairman intervened. \u201cSomebody has read it and reviewed it,\u201d he told Corkin. One of Corkin\u2019s colleagues jumped in: \u201cMaybe the point is that [Annese\u2019s paper] is not the definitive anatomical paper. \u201d \u201cOf course it isn\u2019t,\u201d Corkin said. \u201cOf course it isn\u2019t. \u201d The chairman continued: \u201cI\u2019m uncomfortable criticizing a publication that one is not part of. If you [Annese] feel that, in your scientific judgment, it merits publication, and the reviewers have accepted it. . .. It may not turn out to be the definitive paper. And that will be left, Sue, for you and your colleagues or for Jacopo to write. \u201d \u201cThere\u2019s just melodrama,\u201d Corkin said, referring to Annese\u2019s paper. \u201cThe reviewers found it sound scientifically,\u201d Annese said. \u201cPlease, Sue, send me your comments. \u201d \u201cYou call him Henry,\u201d Corkin said. \u201cI mean, it\u2019s so chatty! \u2018During the surgery, Henry. \u2026 \u2019\u2019u2009\u201d \u201cOne reviewer talks about the data as stellar quality,\u201d Annese said. The quarrel continued until the meeting ended a later. In a up memo that was sent to all participants, representatives of the Dana Foundation summarized what they saw as the major decisions made. They wrote that Corkin would be added as a author on Annese\u2019s paper and that the \u201cultimate location\u201d of Henry\u2019s brain would be with David Amaral at the MIND Institute at U. C. Davis. But it would be up to Annese and Amaral to determine what tissue would be transferred and when. Corkin quickly revised the memo, striking through the line outlining the timing and details of the transfer. Instead, she wrote, U. C. S. D. would simply \u201ctransfer all of H. M.\u2019s brain tissue, including the tissue that has already been mounted,\u201d to the scientist M. I. T. had chosen. At that point, M. I. T. and Mass General would write an agreement to \u201callow U. C. Davis certain rights to use and distribute the tissue owned by M. I. T. and M. G. H. \u201d As far as Corkin was concerned, she and her colleagues owned Henry\u2019s brain, period, and Annese had no say in the matter whatsoever. Despite the unsettled question of where Henry\u2019s brain would reside, the New York meeting did accomplish at least one thing. Now that Corkin had been added as an author on Annese\u2019s Nature Communications paper, Corkin and Annese had to communicate to complete the revision process, breaking the chilly silence between them. What this new correspondence revealed was that despite what she said during the meeting, Corkin\u2019s central problem with the paper, the one she pushed back on hardest, wasn\u2019t Annese\u2019s chatty writing style. Instead she was concerned with something Annese had discovered in Henry\u2019s brain. Specifically, Annese\u2019s analysis had revealed a previously unreported lesion in Henry\u2019s frontal lobe. The lesion was in the left hemisphere and appeared to have been caused by a object. In his draft of the paper, Annese speculated that my grandfather had created the lesion when he levered up Henry\u2019s frontal lobes to access the medial temporal lobes. This was a significant finding. As one of the paper\u2019s anonymous peer reviewers pointed out, \u201cmuch of the neuropsychological literature on H. M. has made the case that called frontal function was intact. \u201d In other words, for the previous six decades, neuropsychologists like Corkin had interpreted their experimental results with Henry under the working assumption that his lesions were restricted to the medial temporal lobes. The discovery of this new lesion might call some of their conclusions about the functions of the medial temporal lobes into question and require a examination of all that old data. When Corkin sent Annese her revisions of his paper, she deleted all references to the newly discovered frontal lesion. In a note to Annese, she explained that \u201cthe frontal lobe lesion does not appear on either the in situ scans [the M. R. I. scans made while the brain was still in Henry\u2019s skull] or the fresh brain photos\u201d and that \u201cany consideration of it would be highly misleading. \u201d She followed up with an email stating that her colleagues at M. I. T. and Mass General \u201cbelieve that there is a good chance that the alleged orbitofrontal lesion is a handling lesion,\u201d meaning that it was caused after death, during the extraction and subsequent handling of the brain. She added that \u201cthere is no intent by the [Mass General] group and me to hide evidence. \u201d Annese responded with a series of images from in situ M. R. I. scans that, contrary to Corkin\u2019s assertions, gave clear views of the lesion, demonstrating that it could not have resulted from the handling of the brain. Annese also sent imagery of some of the slides bearing that portion of Henry\u2019s frontal lobes, and these slides seemed to support the idea that the lesion resulted from the use of a object, like the \u201cflat brain spatula\u201d that my grandfather used during the operation. The lesion, Annese wrote to Corkin, \u201cwas previously unreported (we ascertained it was present even in the 1992 \u2014 93 M. R. I. scans) and together with other data represents new evidence in the case. \u201d He added: \u201cI really don\u2019t understand the reluctance. . .. This is real flesh and blood. There\u2019s a lesion outside the [medial temporal lobes] it is conspicuous and it should be reported. Remember, the goal of this paper and the archive is to catalyze new investigations as well as new debates, like the one we have been having. \u201d The arguments over the lesion and other aspects of the paper soon devolved into acrimony. A mediator hosted a conference call, and eventually a compromise was reached. The frontal lesion would stay in the paper, but it wouldn\u2019t be featured as prominently as it was in earlier drafts. Soon after, U. C. S. D. agreed to give up custody of the brain. If Annese was being honest with himself, he would admit that a part of him had considered holding on to the brain, or at least some pieces of it. His ego had given him a sense of entitlement. A sense of outrage, too. After the brain was handed over, he submitted his resignation to U. C. S. D. \u201cI believe that, regretfully, this is the only way to provide a justifiable (and dignifying) narrative to the changes in course of the H. M. project,\u201d he wrote. Back in Corkin\u2019s office, I pressed for her side of the story, her perspective on the fight over the brain. \u201cI don\u2019t want to talk about it,\u201d she said. \u201cWe have a donation form, right? That says it all. \u201d \u201cI\u2019m curious about, what was the paperwork \u2014 \u201d She cut me off. \u201cI cannot talk about the paperwork,\u201d she said. The paperwork \u2014 the document she passed around the table at the meeting in New York \u2014 was only one page, and the crucial part took up just two sentences: \u201cI, Thomas F. Mooney, am the appointed guardian of the person of Henry G. Molaison. I also presently am Henry G. Molaison\u2019s closest living next of kin, and as such I am entitled by law to control Henry G. Molaison\u2019s remains upon his death. \u201d The lines were followed by a signature and a date: Dec. 19, 1992. Corkin had arranged for Mooney to apply to become Henry\u2019s conservator earlier that year. A judge, taking Mooney to be Henry\u2019s closest relative, approved the conservatorship. One of Mooney\u2019s first acts as conservator was to donate Henry\u2019s brain to Corkin and her colleagues. He also consented, with Henry\u2019s assent, to the continuation of the experiments Corkin wished to conduct on Henry while he remained alive. The problem was, Mooney wasn\u2019t actually Henry\u2019s next of kin. I asked Corkin whether she could tell me how, precisely, Mooney was related to Henry. She could not. It took me a long time to answer the same question. I made numerous phone calls and even showed up on Mooney\u2019s doorstep once. He always made excuses for not being able to meet me. In court documents, I saw Mooney described as both Henry\u2019s cousin and Henry\u2019s nephew, but I had built out Henry\u2019s family tree for three generations and was unable to find any blood ties. Eventually, over the phone, Mooney told me that he and Henry were third cousins, very distant relations. I asked Corkin whether she was aware that when Mooney became Henry\u2019s conservator, one of Henry\u2019s first cousins, Frank Molaison, was living nearby \u2014 his actual next of kin \u2014 and had not been consulted. I mentioned that his name should have made him particularly easy to find. \u201cI was not aware of his existence,\u201d she said. I asked whether she had ever done any genealogical research at all into the man she had studied for almost a century. \u201cNo,\u201d she said. \u201cSo,\u201d I said, \u201cyou were not aware that Mr. Mooney was not his next of kin?\u201d \u201cNo,\u201d she said. I had tracked down and spoken with Henry\u2019s closest living relatives, and some were surprised and disturbed to learn about the things Corkin and her colleagues did with their cousin while he was alive and about the fight over his brain that took place after his death. I asked Corkin why she arranged for Mooney to apply to become Henry\u2019s conservator in the first place. I knew that for more than a decade before Mooney was named Henry\u2019s conservator, Henry himself had been the only one signing the consent forms for his experiments. \u201cI just wanted another level of security,\u201d Corkin said. \u201cAnother person who was not amnesiac and who had Henry\u2019s best interests at heart. \u201d I asked what she meant by \u201csecurity. \u201d Security from what? \u201cFor Henry,\u201d she said. \u201cFor M. I. T. \u201d And what were M. I. T. \u2019s vulnerabilities? \u201cI don\u2019t know,\u201d she said. \u201cI\u2019d have to ask our lawyers that. \u201d After the slides and the remaining brain tissue were turned over, M. I. T. and U. C. S. D. officials continued to negotiate over a final point of contention: the resolution images that Annese and his colleagues made during the slicing. In the end, U. C. S. D. agreed to one final demand: The digital data, too, would go. As someone who spent years grappling with Henry\u2019s story, I knew that this was not necessarily a bad thing. However you interpreted the conflict leading up to the removal of Henry\u2019s brain from San Diego, once that transfer happened, it seemed reasonable to want everything consolidated: all the material, all the data. This would make it easier for scientists to continue their analysis, mining Henry\u2019s brain for any last revelations it contained. You could imagine a moment decades in the future, when some eager and brilliant young researcher might hold to the light one of the slides Annese made from Henry\u2019s brain, appreciating it for the historic and gorgeous and mysterious object it would always remain, not giving a damn who owned or controlled it. You could imagine that researcher digging into additional parts of the archive, including the imagery, the other slides, the remaining unprocessed tissue. Maybe, just maybe, she finds something, some anomaly that nobody has ever noticed, something that might spark a new idea \u2014 a new hint about how we work or a new challenge to our old assumptions. Ideally, of course, that hypothetical researcher would be able to explore not just the archive of Henry\u2019s brain but the archive of all the data that was collected from Henry\u2019s mind while he was still alive, the reams of experimental and observational information that scientists had extracted from him after he left my grandfather\u2019s operating room. The whole idea behind preserving Henry\u2019s brain, after all, was to be able to compare and correlate his neuroanatomical data with the unprecedented amount of clinical and behavioral data that already existed in his case. Most of that other data was presumably in Suzanne Corkin\u2019s possession. So toward the end of my interview with her, I asked what she intended to do with her Henry files, the raw data she spent her career gathering. Me: Are you aiming to give his files to an archive? Corkin: Not his files, but I\u2019m giving his memorabilia to my department. And they will be on display on the third floor. (By memorabilia, she meant his personal effects \u2014 his Bible, his glasses, his crucifix \u2014 all of which she owned. She had also claimed copyright to every known family photo of Henry and his parents.) Me: Right. And what\u2019s going to happen to the files themselves? (She paused for several seconds.) Corkin: Shredded. Me: Shredded? Why would they be shredded? Corkin: Nobody\u2019s gonna look at them. Me: Really? I can\u2019t imagine shredding the files of the most important research subject in history. Why would you do that? Corkin: Well, you can\u2019t just take one test on one day and draw conclusions about it. That\u2019s a very dangerous thing to do. Me: Yeah, but your files would be comprehensive. They would span decades. Corkin: Yeah, well, the tests are gone. The test data. The data sheets are gone. Because the stuff is published. Most of it is published. Or a lot of it is published. Me: But not all of it. Corkin: Well, the things that aren\u2019t published are, you know, experiments that just didn\u2019t . .. [another long pause] go right. Didn\u2019t. You know, there was a problem. He had a seizure or something like that. Me: But you know, even what\u2019s published \u2014 as you know, if you look at the papers, in some sense each paper is just the tip of the iceberg of the work that was done, and the work that was done \u2014 all that data floating around underneath \u2014 it seems to me that so much of that would be valuable to preserve. That people really may want to go back and review \u2014 Corkin: There\u2019s no place to preserve it. Me: There\u2019s no place to preserve it? Not at M. I. T.? How many files are we talking here? Are we talking about a storeroom like this, full of boxes of papers? Corkin: No, not that much. Me: Are they mostly at your home now? Corkin: Some of it was. No, not now. It isn\u2019t. No. Me: It\u2019s just in storage somewhere? Corkin: Most of it has gone, is in the trash, was shredded. Me: Most of it was already shredded? Just recently? Corkin: Yeah. When I moved. Me: When you moved you shredded it? Corkin: . Me: And what is left, most of it you\u2019re planning to shred? Corkin: Probably. (Elements of her story seemed to be shifting and flexing in real time. Whatever the details, though \u2014 whatever Corkin had or hadn\u2019t yet shredded \u2014 the whole idea of willfully shredding any of Henry\u2019s data struck me as deeply troubling.) Me: Not to sound too here, but I could see future generations being disappointed that the source documents for the work that was done on Patient H. M. had been destroyed. Corkin: Well, I mean, there are other famous amnesiac patients, and their data aren\u2019t available to the public. Me: But why would \u2014 it seems to me, and I think it gets back to this: He\u2019s somebody who has been so fundamentally important to our understanding of ourselves. And it seems to me that the data that was used to provide this understanding of ourselves is almost a common heritage. Corkin: Yeah, but it\u2019s not reviewed, for one thing. That\u2019s important. The stuff that\u2019s published is good stuff. reviewed. You can believe it. Things that, you know, experiments that might not have been good experiments, there might have been inadequate control groups. . .. There are all sorts of things that can go wrong with experiments. Not every experiment is publishable. Me: But they can still be interpreted by other people. . .. Maybe as we continue to understand how the brain works, and how memory works, some of this existing data of H. M.\u2019s could be reilluminated by new theories, by new ideas, by new \u2014 it just seems a shame to destroy it. And it also seems \u2014 and this would be the darker interpretation of it \u2014 it locks in stone your own telling of H. M.\u2019s story. Corkin: Well, it\u2019s not just me. It\u2019s me and over a hundred colleagues. Me: I know. But again, you\u2019re the principal investigator for the last many decades. And that is the story, then: When you destroy the data, that becomes the inalterable and sort of inviolate story of Patient H. M. And if you do destroy it, I can imagine people saying, Well, there certainly could be a serving motive there. Corkin: I don\u2019t think scientists would say that. Me: O. K. Corkin: I think people like you might say that. She was wrong about that. It wasn\u2019t just people like me. Later I told a number of neuroscientists \u2014 including researchers from Stanford and U. C. L. A. \u2014 what Corkin had told me about her shredding of Henry\u2019s files, and almost all were appalled by what one described as her \u201ccavalier destruction of data. \u201d Even as a nonscientist, I couldn\u2019t help noticing that some of the unpublished data I came across while reporting my book went against the grain of the established narrative of Patient H. M. For example, unpublished parts of a psychological assessment of Henry provided evidence that even before the operation that transformed Henry Molaison into the amnesiac Patient H. M. his memory was already severely impaired. The causes and significance of Henry\u2019s preoperative memory deficits can be debated, but their existence only underscores the importance of preserving the complete record of the most important research subject in the history of memory science. I wondered what other surprises might be found in a full accounting of Henry\u2019s data, at least the data that hadn\u2019t already made its way to Corkin\u2019s shredder. You didn\u2019t need to be a scientist to grasp what this destruction meant. My grandfather had cut a hole into Henry\u2019s memory, and now one of the many people who profited from that act was cutting another irreparable hole, this one into our memory of Henry. Eventually Corkin and I said goodbye, exchanged handshakes, stiffly wished each other well. It would be the last time we saw each other. She died not long afterward. On the way out of her office, I noticed a framed photograph of Henry\u2019s brain hanging on a wall. The photo was professionally shot and was taken in Annese\u2019s lab, after the various membranes that had cloaked it were removed, leaving it fully exposed. The photo showed the brain in profile, close up. It was pink, the pink of a ballerina\u2019s slippers, though a complex network of dark purplish veins crisscrossed its surface. The brain was, in its own way, beautiful, even if you divorced it from context, even if you didn\u2019t know to whom it belonged or what it had taught us. Even if you didn\u2019t know anything about its story. There was something aquatic about it, like a creature you might encounter while diving too deep in a dark underwater cave. Staring at it, I remembered something Annese told me once. He was complaining about the current trend of depicting the brain, with its myriad neural networks, as though it were some sort of electric metropolis. You could hardly glance at a newsstand\u2019s magazine rack, he pointed out, without seeing a CGI cover illustration of the brain looking like a coruscating optic fantasia, as though we were all walking around with Times Square blazing in our heads. Annese didn\u2019t like that electric metaphor. He saw the brain as more organic than that. Earthier. Not like a light bulb more like an oyster. That didn\u2019t strike me as right either, though. It\u2019s not a pneumatic pump, a telephone switchboard, a tape recorder or any of the other objects people have compared it to over the years. Maybe the human brain is an object beyond the reach of metaphor, for the simple reason that it is the only object capable of creating metaphors to describe itself. There really is nothing else like it. The human brain creates the human mind, and then the human mind tries to understand the human brain, however long it takes and whatever the cost. I took one more look at the picture on the wall and tried to commit the moment to memory.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0003", + "input": { + "raw_text": "Title: Facebook Lets Advertisers Exclude Users By Race\nAuthor: Julia Angwin\nContent: Facebook Lets Advertisers Exclude Users By Race Facebook\u2019s system allows advertisers to exclude black, Hispanic, and other \u201cethnic affinities\u201d from seeing ads. Be Sociable, Share! Image credit: David Sleight/Pro Publica/CC \nImagine if, during the Jim Crow era, a newspaper offered advertisers the option of placing ads only in copies that went to white readers. \nThat\u2019s basically what Facebook is doing nowadays. \nThe ubiquitous social network not only allows advertisers to target users by their interests or background, it also gives advertisers the ability to exclude specific groups it calls \u201cEthnic Affinities.\u201d Ads that exclude people based on race, gender and other sensitive factors are prohibited by federal law in housing and employment. \nHere is a screenshot of a housing ad that we purchased from Facebook\u2019s self-service advertising portal : \nThe ad we purchased was targeted to Facebook members who were house hunting and excluded anyone with an \u201caffinity\u201d for African-American, Asian-American or Hispanic people. ( Here\u2019s the ad itself .) \nWhen we showed Facebook\u2019s racial exclusion options to a prominent civil rights lawyer John Relman , he gasped and said, \u201cThis is horrifying. This is massively illegal. This is about as blatant a violation of the federal Fair Housing Act as one can find.\u201d \nThe Fair Housing Act of 1968 makes it illegal \u201cto make, print, or publish, or cause to be made, printed, or published any notice, statement, or advertisement, with respect to the sale or rental of a dwelling that indicates any preference, limitation, or discrimination based on race, color, religion, sex, handicap, familial status, or national origin.\u201d Violators can face tens of thousands of dollars in fines . \nThe Civil Rights Act of 1964 also prohibits the \u201cprinting or publication of notices or advertisements indicating prohibited preference, limitation, specification or discrimination\u201d in employment recruitment. \nFacebook\u2019s business model is based on allowing advertisers to target specific groups \u2014 or, apparently to exclude specific groups \u2014 using huge reams of personal data the company has collected about its users. Facebook\u2019s microtargeting is particularly helpful for advertisers looking to reach niche audiences, such as swing-state voters concerned about climate change. ProPublica recently offered a tool allowing users to see how Facebook is categorizing them . We found nearly 50,000 unique categories in which Facebook places its users. \nFacebook says its policies prohibit advertisers from using the targeting options for discrimination, harassment, disparagement or predatory advertising practices. \n\u201cWe take a strong stand against advertisers misusing our platform: Our policies prohibit using our targeting options to discriminate, and they require compliance with the law,\u201d said Steve Satterfield, privacy and public policy manager at Facebook. \u201cWe take prompt enforcement action when we determine that ads violate our policies.\u201d \nSatterfield said it\u2019s important for advertisers to have the ability to both include and exclude groups as they test how their marketing performs. For instance, he said, an advertiser \u201cmight run one campaign in English that excludes the Hispanic affinity group to see how well the campaign performs against running that ad campaign in Spanish. This is a common practice in the industry.\u201d \nHe said Facebook began offering the \u201cEthnic Affinity\u201d categories within the past two years as part of a \u201cmulticultural advertising\u201d effort. \nSatterfield added that the \u201cEthnic Affinity\u201d is not the same as race \u2014 which Facebook does not ask its members about. Facebook assigns members an \u201cEthnic Affinity\u201d based on pages and posts they have liked or engaged with on Facebook. \nWhen we asked why \u201cEthnic Affinity\u201d was included in the \u201cDemographics\u201d category of its ad-targeting tool if it\u2019s not a representation of demographics, Facebook responded that it plans to move \u201cEthnic Affinity\u201d to another section. \nFacebook declined to answer questions about why our housing ad excluding minority groups was approved 15 minutes after we placed the order. \nBy comparison, consider the advertising controls that the New York Times has put in place to prevent discriminatory housing ads. After the newspaper was successfully sued under the Fair Housing Act in 1989, it agreed to review ads for potentially discriminatory content before accepting them for publication. \nSteph Jespersen, the Times\u2019 director of advertising acceptability, said that the company\u2019s staff runs automated programs to make sure that ads that contain discriminatory phrases such as \u201cwhites only\u201d and \u201cno kids\u201d are rejected. \nThe Times\u2019 automated program also highlights ads that contain potentially discriminatory code words such as \u201cnear churches\u201d or \u201cclose to a country club.\u201d Humans then review those ads before they can be approved. \nJespersen said the Times also rejects housing ads that contain photographs of too many white people. The people in the ads must represent the diversity of the population of New York, and if they don\u2019t, he says he will call up the advertiser and ask them to submit an ad with a more diverse lineup of models. \nBut, Jespersen said, these days most advertisers know not to submit discriminatory ads: \u201cI haven\u2019t seen an ad with \u2018whites only\u2019 for a long time.\u201d This work by ProPublica is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0383", + "input": { + "raw_text": "Title: BREAKING: CLINTON CLEARED...Was This A Coordinated Last Minute Trick To Energize Hillary's Base? \u00bb 100percentfedUp.com\nAuthor: Fed Up\nContent: \nLimbaugh said that the revelations in the Wikileaks material were \u201cstarting to hurt\u201d the Clintons and that the renewed interest in an FBI investigation into her private email server would be a fruitless distraction. \nIn any case\u2026 \nIT\u2019S TIME TO DRAIN THE SWAMP! \nFBI Director James Comey said Sunday that the agency has reviewed all of the Hillary Clinton emails recently discovered in an unrelated case and that his conclusion in July not to prosecute Clinton after the FBI\u2019s original investigation into her use of private email server still stands. \nComey informed Congress on Oct. 28 that the agency would, in the unrelated case, review additional emails related to Clinton\u2019s time running the State Department from 2009 to 2013. \n\u201cSince my letter, the FBI investigative team has been working around the clock to process and review a large volume of emails,\u201d Comey said Sunday in a follow-up letter to Congress. \u201cDuring that time we reviewed all of the communications that were to or from Hilary Clinton as secretary of state. Based on our review, we have not changed our conclusion.\u201d \nThe new case is purportedly related to ex-New York Democratic Rep. Anthony Weiner using a laptop he shared with estranged wife and top Clinton aide Huma Abedin for \u201csexting\u201d an apparently underage female. \n", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0332", + "input": { + "raw_text": "Title: Venezuela: Protesters Burn Down Hugo Chavez\u2019s Childhood Home\nAuthor: Frances Martel\nContent: protesters in Venezuela\u2019s Barinas state burned down the childhood home of late dictator Hugo Ch\u00e1vez on Monday, as well as the old home of his grandmother, and attacked a number of government buildings with Molotov cocktails. [The attacks appeared to be a reaction to the news that soldiers had killed yet another young man peacefully protesting in Venezuela, bringing the death toll during this latest round of protests up to 62. Protesters appear increasingly frustrated with the socialist opposition\u2019s tactic of staging an march per day calling for presidential elections, which would be run by socialist government officials and have little chance of being free and fair. The Venezuelan newspaper El Nacional reported that multiple photos began surfacing on social media of the burned down home on Monday evening. Social media users noted that the fire began shortly after the news that the military had killed Yorman Al\u00ed Bervecia Cabeza for protesting against socialism. The Associated Press later confirmed that protesters had burned down the Ch\u00e1vez home with opposition legislator Pedro Luis Castillo, who represents Barinas. Queman casa Materna de Chavez en Barinas Enardecidos tras el asesinato de Yorman Bervecia. pic. twitter. \u2014 Daniel Garc\u00eda (@DanielInformaVE) May 22, 2017, Hoy quemaron la casa natal de Chavez, porque para quemar la de @NicolasMaduro habr\u00eda que invadir Colombia #FueraMaduro #dictadura pic. twitter. \u2014 Broderick Zerpa (@Beisbologo) May 23, 2017, The Spanish newspaper ABC, which has been on the forefront of reporting on the corruption of both the Ch\u00e1vez regime and that of successor Nicol\u00e1s Maduro, reported that protesters also burned down the home of Ch\u00e1vez\u2019s grandmother and attacked the local headquarters of the ruling United Socialist Party of Venezuela (PSUV) the National Electoral Council (CNE) the regional headquarters of the Secretariat of Education, and the Institute of Housing. The newspaper adds that protesters looted fifty businesses, including multiple bakeries and areperas, restaurants that specialize in the Venezuelan corn arepas. While Ch\u00e1vez\u2019s socialist policies had already collapsed the Venezuelan economy, Maduro\u2019s imposition of strict price controls, ration cards, and government requirements on bakeries have left much of the nation without food. An estimated 15 percent of Venezuelans subsist off of industrial garbage, while three out of four Venezuelans lost an average of 19 pounds in 2016 due to food shortages, Protesters also attacked military convoys and set armored vehicles on fire. As\u00ed qued\u00f3 la tanqueta en #Barinas que reprimi\u00f3 a los ciudadanos #22May #Venezuela (Tambi\u00e9n quemaron sedes del PSUV, CNE, casa de Ch\u00e1vez) pic. twitter. \u2014 Juan Zubillaga (@jgzubillaga) May 22, 2017, ABC adds that protesters also burned down yet another statue of Ch\u00e1vez, noting that at least four statues have been taken down or burned since this latest wave of protests began. The Spanish newspaper ABC notes that the socialist opposition group Democratic Unity Roundtable (MUD) appeared to distance itself from these incidents, as it had \u201conly organized for Monday a protest for health, congregating medical and nursing professionals in Caracas and other cities to protest the sanitary crisis plaguing the country. \u201d The MUD is a coalition of parties that currently has the majority in the National Assembly. They are calling for the release of political prisoners, free and fair elections, and an end to the use of the military to kill peaceful protesters. The MUD spearheaded an attempt at dialogue with the government throughout 2016 that largely failed and served to diminish the intensity of opposition against Maduro, which has led to growing unpopularity among opponents of the government, Incidents like the destruction of the Ch\u00e1vez statue in Barinas have occurred nationwide, the most recent before this one being in Zulia state, with another statue going down in Carabobo, near Caracas. In westernmost state T\u00e1chira, which has been in open revolt for at least three years, protesters beheaded a statue of Ch\u00e1vez in 2014. The socialists have littered Venezuela with such statues, as well as murals and \u201cstreet art\u201d meant to applaud Ch\u00e1vez and his work imposing the dysfunctional socialist system on the country. Among the most popular \u201cstreet art\u201d images is a of Ch\u00e1vez\u2019s eyes, meant to send the message that the late dictator is still spying on all Venezuelans from beyond the grave. The Ch\u00e1vez family also holds great influence in the country still. The late dictator\u2019s brother Ad\u00e1n runs the Institute of Housing, which the protesters attacked, and his daughter Mar\u00eda Gabriela Ch\u00e1vez is believed to be the nation\u2019s wealthiest woman. The latest string of protests, which began 53 days ago in response to the Supreme Court attempting to annul the National Assembly and install itself as the nation\u2019s legislative body, has left 62 people dead so far. Maduro has allowed the Bolivarian National Guard (GNB) to use violence against unarmed protesters to an outrageous degree, including the use of armored tanks to run protesters over, shoot them to death, or asphyxiate them with tear gas.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0454", + "input": { + "raw_text": "Title: Troops Who Cleaned Up Radioactive Islands Can\u2019t Get Medical Care - The New York Times\nAuthor: Dave Philipps\nContent: RICHLAND, Wash. \u2014 When Tim Snider arrived on Enewetak Atoll in the middle of the Pacific Ocean to clean up the fallout from dozens of nuclear tests on the ring of coral islands, Army officers immediately ordered him to put on a respirator and a bright yellow suit designed to guard against plutonium poisoning. A military film crew snapped photos and shot movies of Mr. Snider, a Air Force radiation technician, in the crisp new safety gear. Then he was ordered to give all the gear back. He spent the rest of his stint on the islands wearing only cutoff shorts and a floppy sun hat. \u201cI never saw one of those suits again,\u201d Mr. Snider, now 58, said in an interview in his kitchen here as he thumbed a yellowing photo he still has from the 1979 shoot. \u201cIt was just propaganda. \u201d Today Mr. Snider has tumors on his ribs, spine and skull \u2014 which he thinks resulted from his work on the crew, in the largest nuclear cleanup ever undertaken by the United States military. Roughly 4, 000 troops helped clean up the atoll between 1977 and 1980. Like Mr. Snider, most did not even wear shirts, let alone respirators. Hundreds say they are now plagued by health problems, including brittle bones, cancer and birth defects in their children. Many are already dead. Others are too sick to work. The military says there is no connection between these illnesses and the cleanup. Radiation exposure during the work fell well below recommended thresholds, it says, and safety precautions were top notch. So the government refuses to pay for the veterans\u2019 medical care. Congress long ago recognized that troops were harmed by radiation on Enewetak during the original atomic tests, which occurred in the 1950s, and should be cared for and compensated. Still, it has failed to do the same for the men who cleaned up the toxic debris 20 years later. The disconnect continues a longstanding pattern in which the government has shrugged off responsibility for its nuclear mistakes. On one cleanup after another, veterans have been denied care because shoddy or intentionally false radiation monitoring was later used as proof that there was no radiation exposure. A report by The New York Times last spring found that veterans were exposed to plutonium during the cleanup of a 1966 accident involving American hydrogen bombs in Palomares, Spain. Declassified documents and a recent study by the Air Force said the men might have been poisoned, and needed new testing. But in the months since the report, nothing has been done to help them. For two years, the Enewetak veterans have been trying, without success, to win medical benefits from Congress through a proposed Atomic Veterans Healthcare Parity Act. Some lawmakers hope to introduce a bill this year, but its fate is uncertain. Now, as new cases of cancer emerge nearly every month, many of the men wonder how much longer they can wait. The cleanup of Enewetak has long been portrayed as a triumph. During the operation, officials told reporters that they were setting a new standard in safety. One report from the end of the cleanup said safety was so strict that \u201cit would be difficult to identify additional radsafe precautions that could have been taken. \u201d Documents from the time and interviews with dozens of veterans tell a different story. Most of the documents were declassified and made publicly available in the 1990s, along with millions of pages of other files relating to nuclear testing, and sat unnoticed for years. They show that the government used troops instead of professional nuclear workers to save money. Then it saved even more money by skimping on safety precautions. Records show that protective equipment was missing or unusable. Troops requesting respirators couldn\u2019t get them. safety monitoring systems failed. Officials assured concerned members of Congress by listing safeguards that didn\u2019t exist. And though leaders of the cleanup told troops that the islands emitted no more radiation than a dental documents show they privately worried about \u201cplutonium problems\u201d and areas that were \u201chighly radiologically contaminated. \u201d Tying any disease to radiation exposure years earlier is nearly impossible there has never been a formal study of the health of the Enewetak cleanup crews. The military collected nasal swabs and urine samples during the cleanup to measure how much plutonium troops were absorbing, but in response to a Freedom of Information Act request, it said it could not find the records. Hundreds of the troops, though, almost all now in their late 50s, have found one another on Facebook and discovered remarkably similar problems involving deteriorating bones and an incidence of cancer that appears to be far above the norm. A tally of 431 of the veterans by a member of the group shows that of those who stayed on the southernmost island, where radiation was low, only 2 percent reported having cancer. Of those who worked on the most contaminated islands in the north, 20 percent reported cancer. An additional 34 percent from the contaminated islands reported other health problems that could be related to radiation, like failing bones, infertility and thyroid problems. Between 1948 and 1958, 43 atomic blasts rocked the tiny atoll \u2014 part of the Marshall Islands, which sit between Hawaii and the Philippines \u2014 obliterating the native groves of breadfruit trees and coconut palms, and leaving an apocalyptic wreckage of twisted test towers, radioactive bunkers and rusting military equipment. Four islands were entirely vaporized only deep blue radioactive craters in the ocean remained. The residents had been evacuated. No one thought they would ever return. In the early 1970s, the Enewetak islanders threatened legal action if they didn\u2019t get their home back. In 1972, the United States government agreed to return the atoll and vowed to clean it up first, a project shared by the Atomic Energy Commission, now called the Department of Energy, and the Department of Defense. The biggest problem, according to Energy Department reports, was Runit Island, a spit of sand blitzed by 11 nuclear tests in 1958. The north end was gouged by a crater that documents from the time describe as \u201ca special problem\u201d because of \u201chigh subsurface contamination. \u201d The island was littered with a fine dust of pulverized plutonium, which if inhaled or otherwise absorbed can cause cancer years or even decades later. A millionth of a gram is potentially harmful, and because the isotopes have a of 24, 000 years, the danger effectively never goes away. The military initially quarantined Runit. Government scientists agreed that other islands might be made habitable, but Runit would most likely forever be too toxic, memos show. So federal officials decided to collect radioactive debris from the other islands and dump it into the Runit crater, then cap it with a thick concrete dome. The government intended to use private contractors and estimated the cleanup would cost $40 million, documents show. But Congress balked at the price and approved only half the money. It ordered that \u201call reasonable economies should be realized\u201d by using troops to do the work. Safety planners intended to use protective suits, respirators and sprinklers to keep down dust. But without adequate funding, simple precautions were scrapped. Paul Laird was one of the first service members to arrive for the atoll\u2019s cleanup, in 1977. Then a bulldozer driver, he began scraping topsoil that records show contained plutonium. He was given no safety equipment. \u201cThat dust was like baby powder. We were covered in it,\u201d said Mr. Laird, now 60, during an interview in rural Maine, where he owns a small auto repair shop. \u201cBut we couldn\u2019t even get a paper dust mask. I begged for one daily. My lieutenant said the masks were on back order so use a . \u201d By the time Mr. Laird left the islands, he was throwing up and had a blisterlike rash. He got out of the Army in 1978 and moved home to Maine. When he turned 52, he found a lump that turned out to be kidney cancer. A scan at the hospital showed he also had bladder cancer. A few years later he developed a different form of bladder cancer. His private health insurance covered the treatment, but left him deep in debt. He applied repeatedly for free veterans\u2019 health care for radiation but was denied. His medical records from the military all said he had not been exposed. \u201cWhen the job was done, they threw my bulldozer in the ocean because it was so hot,\u201d Mr. Laird said. \u201cIf it got that much radiation, how the hell did it miss me?\u201d As the cleanup continued, federal officials tried to institute safety measures. A shipment of yellow radiation suits arrived on the islands in 1978, but in interviews veterans said that they were too hot to wear in the tropical sun and that the military told them that it was safe to go without them. The military tried to monitor plutonium inhalation using air samplers. But they soon broke. According to an Energy Department memo, in 1978, only a third of the samplers were working. All troops were issued a small film badge to measure radiation exposure, but government memos note that humid conditions destroyed the film. Failure rates often reached 100 percent. Every evening, Air Force technicians scanned workers for plutonium particles before they left Runit. Men said dozens of workers each day had screened positive for dangerous levels of radiation. \u201cSometimes we\u2019d get readings that were all the way to the red,\u201d said one technician, David Roach, 57, who now lives in Rockland, Me. None of the high readings were recorded, said Mr. Roach, who has since had several strokes. Two members of Congress wrote to the secretary of defense in 1978 with concerns, but his office told them not to worry: Suits and respirators ensured the cleanup was conducted in \u201ca manner as to assure that radiation exposure to individuals is limited to the lowest levels practicable. \u201d Even after the cleanup, many of the islands were still too radioactive to inhabit. In 1988, Congress passed a law providing automatic medical care to any troops involved in the original atomic testing. But the act covers veterans only up to 1958, when atomic testing stopped, excluding the Enewetak cleanup crews. If civilian contractors had done the cleanup and later discovered declassified documents that show the government failed to follow its own safety plan, they could sue for negligence. Veterans don\u2019t have that right. A 1950 Supreme Court ruling bars troops and their families from suing for injuries arising from military service. The veterans\u2019 only avenue for help is to apply individually to the Department of Veterans Affairs for free medical care and disability payments. But the department bases decisions on old military records \u2014 including defective air sampling and radiation badge data \u2014 that show no one was harmed. It nearly always denies coverage. \u201cA lot of guys can\u2019t survive anymore, financially,\u201d said Jeff Dean, 60, who piloted boats loaded with contaminated soil. Mr. Dean developed cancer at 43, then again two years later. He had to give up his job as a carpenter as the bones in his spine deteriorated. Unpaid medical bills left him $100, 000 in debt. \u201cNo one seems to want to admit anything,\u201d Mr. Dean said. \u201cI don\u2019t know how much longer we can wait, we have guys dying all the time. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0280", + "input": { + "raw_text": "Title: nan\nAuthor: William J. Smith\nContent: I hadn\u2019t thought of that, but you are absolutely right. This does need to come to an end. I know the Republican party is like a pit bull and won\u2019t let this go. As much as it disturbs me to say it. I hope that Hillary and the President will consider this before he leaves. BTW\u2026I\u2019m going to miss President Obama and the world class leadership he brought to America.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0233", + "input": { + "raw_text": "Title: Dem: Charge Republican Who Took Down Anti-Cop Painting - Breitbart\nAuthor: AWR Hawkins\nContent: Representative Lacy Clay ( ) wants Representative Duncan Hunter ( ) to face \u201ctheft\u201d charges for removing an painting from the walls of the U. S. Capitol complex. [Breitbart News previously reported that the painting was hung in the Capitol complex after Clay chose it as a fitting representation of the August 9, 2014, shooting death of Michael Brown in Ferguson, Missouri. It depicts police officers as animals with tusks. On January 6 Hunter removed the painting from the wall, saying, \u201cI\u2019ve seen the press [reporting on this painting] for about a week or so. \u2026 I\u2019m in the Marine Corps. If you want it done, just call us. \u201d Hunter then delivered the painting to Clay\u2019s office and said, \u201cLacy can put it back up, I guess, if he wants to \u2026 but I\u2019m allowed to take it down. \u201d Clay now wants \u201ctheft\u201d charges against Hunter. According to The Washington Post, Clay addressed the removal of the painting on Monday, saying that \u201chis staff met Monday with members of the Capitol Police to press theft charges against Rep. Duncan D. Hunter. \u201d Clay added, \u201cHe had no right to take that picture down, it\u2019s thievery. \u201d Clay plans to rehang the painting on January 10 and will be accompanied by the Congressional Black Caucus while doing it. The artist behind the painting is David Pulphus. Clay defended Pulphus\u2019 animal representation of officers in Ferguson, saying: These are his impressions. Those are his feelings. That\u2019s how he formed his opinion, and he expressed it in his art. So what\u2019s wrong with that? Any black parent would tell you that they have to have this conversation with their children about police and how to act around them, so that\u2019s the conversation we need to be having here. Not about taking some kid\u2019s picture off the wall \u2014 it should be about, how do we change these attitudes and improve the relationships between police and the black community? The schism between Clay and Hunter over attitudes toward police officers is a microcosm of the larger divide that exists between the Democrat Party and the Republican Party. For example, during the 2016 presidential race the National Fraternal Order of Police (NFOP) sent Democrat candidate Hillary Clinton a questionnaire to answer. She did not even bother returning it to them. NFOP president Chuck Canterbury said he was \u201cdisappointed and shocked. \u201d Approximately a month later the NFOP endorsed Donald Trump for president. The Hill quoted Canterbury saying, \u201c[Trump] has seriously looked at the issues facing law enforcement today. He understands and supports our priorities and our members believe he will make America safe again. \u201d AWR Hawkins is the Second Amendment columnist for Breitbart News and host of \u201cBullets with AWR Hawkins,\u201d a Breitbart News podcast. He is also the political analyst for Armed American Radio. Follow him on Twitter: @AWRHawkins. Reach him directly at awrhawkins@breitbart. com.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0098", + "input": { + "raw_text": "Title: North Korea Accuses CIA, South Korea of \u2019Bio-Chemical\u2019 Assassination Plot - Breitbart\nAuthor: Frances Martel\nContent: The communist government of North Korea published a \u201creport\u201d on Friday in which it accused the CIA and its South Korea affiliate, the Intelligence Service (IS) of planning to use a \u201c \u201d weapon to attack its \u201csupreme leadership. \u201d[North Korea\u2019s state publication, the Rodong Sinmun, also published a story Friday accusing China, and particularly state media outlets Global Times and The People\u2019s Daily, of agitating for war against North Korea to appease the United States. \u201cThe Central Intelligence Agency of the U. S. and the Intelligence Service (IS) of South Korea, hotbed of evils in the world, hatched a vicious plot to hurt the supreme leadership of the DPRK and those acts have been put into the extremely serious phase of implementation after crossing the threshold of the DPRK,\u201d The Korean Central News Agency said in a report published Friday, according to Reuters. \u201cA hideous terrorists\u2019 group, which the CIA and the IS infiltrated into the DPRK on the basis of covert and meticulous preparations to commit terrorism against the supreme leadership of the DPRK by use of substance, has been recently detected. \u201d The South Korean news agency Yonhap notes that the article also included threats to both countries. \u201cWe will ferret out and mercilessly destroy to the last one the terrorists of the U. S. CIA,\u201d the article warned. \u201c attack will be commenced from this moment to sweep away the intelligence and organizations of the U. S. imperialists and the puppet clique. \u201d \u201cCriminals going to realize such a pipe dream cannot survive on this land even a moment,\u201d the article vowed. The article alleged that a North Korean named \u201cKim\u201d had accepted money to become \u201ca terrorist full of repugnance and revenge against the supreme leadership of the DPRK. \u201d This \u201chuman scum Kim\u201d agreed to commit \u201cassassination by use of biochemical substances including radioactive substance and nano poisonous substance. \u201d The report did not specify whom he was paid to assassinate. The attack resembles theories surrounding the death of Kim the brother of dictator Kim who an assassin killed in Kuala Lumpur this year using VX nerve agent, a weapon of mass destruction, according to Malaysian authorities. While police in that country have found ties between the murder suspects and the North Korean government, Pyongyang has denied involvement and denounced a U. S. conspiracy to frame the Kim government for the killing. North Korean media did not stop at antagonizing America and South Korea. The state newspaper Rodong Sinmun published a scathing editorial against its counterparts in China, directly addressing the Global Times and People\u2019s Daily and condemning their \u201cabsurd and reckless remarks. \u201d \u201cChina should no longer try to test the limits of the DPRK\u2019s patience. China had better ponder over the grave consequences to be entailed by its reckless act of chopping down the pillar of the relations,\u201d the newspaper demanded. While belligerence against the United States is common in the pages of the Rodong Sinmun, direct challenges to China are a recent development. In February, North Korean state media accused a \u201cneighboring country\u201d of a nominally friendly disposition of acting as a \u201cU. S. vassal state\u201d as the Chinese government worked to adhere to United Nations sanctions against the country, for decades standing accused of some of the world\u2019s most outrageous human rights atrocities. The Times had recently published a column suggesting that China would need to cooperate more closely with the United States due to the volatile nature of the North Korean regime and, perhaps the highest insult of all, suggesting North Korea is more of a threat to China than Washington. \u201c[C]ompared to the potential impairment brought about by the US\u2019 geopolitical containment of China, the danger of potential nuclear contamination of China\u2019s northeast is more urgent,\u201d the article notes. President Donald Trump has told media that he is willing to negotiate to China\u2019s advantage on trade if such a deal results in the complete nuclear disarmament of Korea. \u201cYou want to make a great deal? Solve the problem in North Korea,\u201d Trump said he told Chinese officials in April. \u201cThat\u2019s worth having deficits. And that\u2019s worth having not as good a trade deal as I would normally be able to make. \u201d Follow Frances Martel on Facebook and Twitter.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0369", + "input": { + "raw_text": "Title: College Students Threatened by Cops for Handing Out U.S. Constitutions\nAuthor: Christina Sarich\nContent: College Students Threatened by Cops for Handing Out U.S. Constitutions Nov 5, 2016 2 0 \nThe first amendment of the US Constitution was just treated like gum on the bottom of a police officer\u2019s shoe at Grand Valley State University in Michigan. Bullying free speech \u2014 one of the first rights we as Americans are entitled to under constitutional law \u2014 was standard operating procedure for officers who threatened students giving out copies of the document to fellow classmates. \nGrand Valley State University didn\u2019t stand behind students\u2019 rights when they were threatened for handing out the constitution and pamphlets promoting their newly created group, citing an obscure commandment from the \u2018office of student life.\u2019 Instead the school backed up threats of arrest issued by police officers. \nCampus Reform stated that one officer told students , \u201cIn order to do that, you gotta be approved by the office of student life,\u201d asserting that the school policy applies to any distribution of materials, even if one is not selling something or asking for monetary contributions. \nNathan Berning, a Michigan field representative from the Leadership Institute who was advising the students over the phone during the altercation, told Campus Reform that he found it \u201cunacceptable\u201d that a person \u201ccan\u2019t hand out Constitutions to college students\u201d in a country that enshrines free speech in its founding document. \nInstead of facing time in jail, the students politely discontinued their act of passing out materials, even though this is protected by law. Berning attests this is the third incidence lately of students being threatened for expressing their freedom of speech, even in protected \u2018Free Speech Zones.\u2019 \nThese zones are controversial to begin with. West Virginia University recently censored their students to two small areas of campus in which they are allowed to express their thoughts. Ninety-nine percent of campus was off limits to anyone who wanted to have their way with the First Amendment. \nAs one Huffington Post article offers , a \u201cFree Speech Zone\u2019 is a backwards way of saying, \u201cJust shut up\u201d to University students. At a recent Yale University discussion on the topic, 66 percent of attendees felt their first amendment rights were being trampled on with these euphemist \u2018zones.\u2019 \nA NY Times blogger on the topic called them micro-aggressions to young people and University students at large. \nThe University of Chicago is taking a differen t tack. John Ellison, dean of students, wrote to a recent class of freshman, \n\u201cOur commitment to academic freedom means that we do not support so-called trigger warnings, we do not cancel invited speakers because their topics might prove controversial, and we do not condone the creation of intellectual \u2018safe spaces\u2019 where individuals can retreat from ideas and perspectives at odds with their own .\u201d \nThe Foundation for Individual Rights in Education or FIRE recently launched a national campaign asking colleges and universities to adopt the free speech policy statement produced by the Committee on Freedom of Expression at the University of Chicago. The statement guarantees \u201call members of the University community the broadest possible latitude to speak, write, listen, challenge, and learn,\u201d and makes clear that \u201cit is not the proper role of the University to attempt to shield individuals from ideas and opinions they find unwelcome, disagreeable, or even deeply offensive.\u201d \nThe GVSU reaction to free speech on campus is particularly alarming considering that students pay more than ever to attend institutions of \u2018higher learning\u2019 which have become nothing more than an extension of the corporation. Student loan debt now exceeds $1 trillion in the U.S., and while universities are more than eager to take students cash, they aren\u2019t so keen on protecting their rights to free expression. Getting that highly coveted certificate of graduation has become more expensive than ever, but it isn\u2019t just money at stake. Vote Up Christina Sarich Christina Sarich is a musician, yogi, humanitarian and freelance writer who channels many hours of studying Lao Tzu, Paramahansa Yogananda, Rob Brezny, Miles Davis, and Tom Robbins into interesting tidbits to help you Wake up Your Sleepy Little Head, and *See the Big Picture*. Her blog is Yoga for the New World . Her latest book is Pharma Sutra: Healing The Body And Mind Through The Art Of Yoga .", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0346", + "input": { + "raw_text": "Title: Re: Andrew Breitbart \u2013 twitchy.com\nAuthor: Gloves B. Donahue\nContent: \u2014 Alyssa Canobbio (@AlyssaEinDC) October 28, 2016 \nNot a day goes by that we don\u2019t miss Andrew Breitbart. But it\u2019s days like today when we really feel his absence and wonder what could have been. Andrew Breitbart was right about a lot of things. But m n was he right about Anthony Weiner \n\u2014 Logan Dobson (@LoganDobson) October 28, 2016 \nWas he ever. \nAs Twitchy told you , the FBI reportedly decided to reopen their probe into Hillary Clinton in light of emails discovered on one of Anthony Weiner\u2019s devices. Tweeters are having a field day, of course. But it will still never come close to perhaps one of the greatest moments in modern media history: Big ups, AB. pic.twitter.com/qMxopaGBo6 \nHere\u2019s the whole thing, because it\u2019s just so fantastic: \nThose were the days, weren\u2019t they? The only sad thing about this Anthony Weiner / HRC insanity\u2026 It makes me sad Andrew Breitbart is not here to enjoy it. #HillarysEmails \n\u2014 Andrews Dad (@Andrew_Dad) October 28, 2016 \nIt\u2019s indeed sad that Breitbart is no longer with us. Still, hopefully we can all draw some comfort in remembering his brilliance \u2014 and smiling at the thought of him right now. Andrew Breitbart, still doing his thing from beyond. \ud83d\ude42", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0096", + "input": { + "raw_text": "Title: Spare a Swipe? New York City Eases Rules for a Subway Request - The New York Times\nAuthor: Joseph Goldstein\nContent: It is New York\u2019s own version of hitchhiking: asking for a swipe of a stranger\u2019s MetroCard. And just like the hitchhiker\u2019s thumb, it has its own distinctive hand signal, which, if all goes well, results in a free subway ride. If all does not, it often leads to handcuffs. \u201cThe defendant moved his hand in a motion, which, based on my training and experience, is typical of asking to be swiped into the subway system,\u201d Officer Kentrevo Mills of a transit counterterrorism unit in the New York Police Department stated in an arrest affidavit for a man beseeching swipes in February in the station at Lexington Avenue and 125th Street. For years, the police have been arresting people for asking for swipes in front of the turnstiles. That changed last month, when the police decided to try a more lenient approach against and other rule breakers, at least in Manhattan. Now officers are supposed to issue a ticket or court summons rather than make an arrest. But new statistics and a review of court records show, for the first time, the lengths the police had previously gone to try to stamp out the practice of . Even counterterrorism officers had arrested violators. Since 2013, the police have made more than 10, 000 arrests of people for asking for swipes and, therefore, impeding the flow of subway passengers, according to statistics from the police. There were 800 arrests this year alone, before the policy change. In explaining the more lenient approach last month to the rank and file, the Police Department\u2019s internal order said the new policy was the result of a decision by the Manhattan district attorney\u2019s office to no longer prosecute people arrested for minor infractions such as smoking in the subway, or taking up two seats on a subway car. In a statement announcing the change, Cyrus R. Vance Jr. the Manhattan district attorney, cited a desire to free the police, prosecutors and courts from processing the most minor cases. \u201cAnd by reducing unnecessary incarceration, we make our criminal justice system fairer for all New Yorkers,\u201d he said in the statement. In interviews, said they are more orderly than the police give them credit for. They are, after all, asking for admittance to the subway system, rather than hopping the turnstile, a misdemeanor. \u201cThey don\u2019t want you to hop and they don\u2019t want you to ask for a swipe,\u201d James Green, 22, said as he begged for a swipe in the station at St. Nicholas Avenue and 125th Street this month. \u201cWhat exactly are you supposed to do?\u201d And with a single subway ride costing $2. 75, they see themselves not as scofflaws but as people who simply cannot afford public transportation. \u201cSome people don\u2019t have money on them,\u201d Mr. Green said. \u201cBut they have places to get to. They might even have an emergency, you feel me?\u201d \u201cOnce I have a job, I\u2019ll never do this again,\u201d William Rios, 50, said on a recent afternoon as he asked for a swipe in the station at 42nd Street and Eighth Avenue. \u201cI\u2019ve been since 10:30 a. m. and I got tired and now I want to go home,\u201d he said. Mr. Rios said he had been arrested for in the past \u2014 a common complaint among men interviewed as they stood outside the turnstiles beseeching exiting passengers with, \u201cCan I get a swipe?\u201d Some forlornly flicked their wrists others, with more gusto, shot their hands far forward, elbows fully extended and flicked an imaginary MetroCard through the world\u2019s longest card reader. Some stood politely to the side of the turnstiles others blocked the way. Between trains, a few scoured the ground for discarded MetroCards. From the police\u2019s perspective, asking for swipes violates two rules: one against begging and another against blocking \u201cfree movement\u201d in a station. (The New York City Transit Authority says that, though it is deprived of a fare, it has no problem with people using unlimited MetroCards to swipe in strangers.) Enforcement of these rules is \u201cintegral to maintaining the civility for each of our millions of riders,\u201d Joseph Fox, the chief of the Police Department\u2019s Transit Bureau, said in a statement. \u201cRiders have come to expect, as they rightly should, to travel without harassment, without interruption, and without being subject to overt acts of criminality and disorder. \u201d Police Commissioner William J. Bratton has long regarded the subway system as the front line in the city\u2019s struggle with criminals. In the early 1990s, Mr. Bratton, then chief of the subway police force, began cracking down on turnstile jumping, with great success. Turnstile jumpers, the police discovered, were sometimes armed and often wanted on warrants for more serious crimes. It turned out to be a very effective way to arrest criminals and, in Mr. Bratton\u2019s telling, was the start of a policing strategy that has succeeded in beating back crime for more than 20 years. When Mr. Bratton became commissioner in 2014, he vowed to rid the subways of all kinds of rule breakers, from panhandlers to \u201cacrobats,\u201d as he called the subway dancers. were put on notice. The police say that a full of those arrested for asking for swipes are known as \u201ctransit recidivists. \u201d A review of arrests of dozens of revealed a few names matching those of registered sex offenders. But some who have been arrested for describe themselves as New Yorkers with little more than a few hopped turnstiles in their past. \u201cThey consider this panhandling, but this is just people getting home,\u201d Chaazaq Washington, 20, said this month after his court appearance for a February arrest for soliciting a swipe. \u201cIt\u2019s so petty \u2014 just because you make a hand gesture or ask for a swipe, they say this is breaking the law. \u201d now face a ticket with a fine of at least $25 and as much as $50, or a notice to appear in court in Lower Manhattan at a later date. \u201cThey are given a ticket because they can\u2019t afford a swipe and now they have to get to a courthouse?\u201d mused Stephen Pokart, a Legal Aid lawyer who has been defending the poor in court for 42 years. \u201cNow they\u2019ll have to ask for a swipe both ways. \u201d", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0439", + "input": { + "raw_text": "Title: After Plagiarism Reports, Monica Crowley Won\u2019t Take White House Job - The New York Times\nAuthor: Maggie Haberman\nContent: Monica Crowley, who was selected just weeks ago to serve in a post on Donald J. Trump\u2019s National Security Council, has decided against taking the position after allegations that she plagiarized key passages in a 2012 book. Ms. Crowley, whose name was briefly floated as a candidate for White House press secretary, has been dogged by accusations of plagiarism in recent weeks, beginning with the discovery by CNN that she copied several passages in a book she published with HarperCollins. A later report in Politico unearthed similar issues in her doctoral dissertation. \u201cAfter much reflection, I have decided to remain in New York to pursue other opportunities and will not be taking a position in the incoming administration,\u201d Ms. Crowley said in a statement to The Washington Times. \u201cI greatly appreciate being asked to be part of Trump\u2019s team, and I will continue to enthusiastically support him and his agenda for American renewal,\u201d she said. She did not address the allegations of plagiarism. Ms. Crowley is the second official announced by the transition team to decide not to go to the White House, following Jason Miller, who was to be the communications director. One person close to the transition said that Ms. Crowley\u2019s role would have involved overseeing certain speeches, something that would have been difficult after the plagiarism claims. HarperCollins has withdrawn the digital edition of Ms. Crowley\u2019s book \u201cWhat the (Bleep) Just Happened?\u201d Published by Broadside Books, a conservative imprint at HarperCollins, it is a critical look at Barack Obama\u2019s presidency. It sold out 20, 000 copies in hardcover, Publishers Marketplace said. Mr. Trump\u2019s transition team had labeled the plagiarism reports \u201ca politically motivated attack\u201d and defended Ms. Crowley\u2019s ability to serve. \u201cMonica\u2019s exceptional insight and thoughtful work on how to turn this country around is exactly why she will be serving in the administration,\u201d transition officials said in a statement to CNN. \u201cHarperCollins \u2014 one of the largest and most respected publishers in the world \u2014 published her book, which has become a national best seller,\u201d the statement said. \u201cAny attempt to discredit Monica is nothing more than a politically motivated attack that seeks to distract from the real issues facing this country. \u201d Most publishers do not check for plagiarism, fabrication or factual inaccuracies.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0290", + "input": { + "raw_text": "Title: Musik statt L\u00e4rm: Erster Laubbl\u00e4ser mit eingebauter Trompete vorgestellt [mit Video]\nAuthor: noreply@blogger.com (Der Postillon)\nContent: Freitag, 11. November 2016 Musik statt L\u00e4rm: Erster Laubbl\u00e4ser mit eingebauter Trompete vorgestellt [mit Video] Bochum (dpo) - Laubbl\u00e4ser sind nicht gerade f\u00fcr ihr angenehmes Betriebsger\u00e4usch bekannt und sorgen so immer wieder f\u00fcr Frust und Nachbarschaftsstreit. Doch derartige Probleme d\u00fcrften bald der Vergangenheit angeh\u00f6ren: Ein Hersteller aus Bochum hat mit dem \"Miles Davis 3000\" ein neuartiges Modell vorgestellt, bei dem eine Trompete so in das Ger\u00e4t verbaut ist, dass statt l\u00e4stigem Surren und Rauschen fr\u00f6hliche Musik ert\u00f6nt. Chefentwickler Roger F\u00e4hnrich erkl\u00e4rt, wie es zu dieser Erfindung kam: \"Alle Versuche, leisere Laubbl\u00e4ser zu konstruieren scheiterten, weil es technisch unm\u00f6glich ist, den durch Blasgeschwindigkeiten von bis zu 300 Stundenkilometern erzeugten L\u00e4rm zu d\u00e4mpfen.\" Daher habe man sich nach Wegen umgesehen, das Ger\u00e4usch \"umzuleiten\". \"Ein Kollege, der privat in einer Jazz-Big-Band spielt, hatte dann die z\u00fcndende Idee\", so F\u00e4hnrich. \"Er brachte eine alte Trompete mit und baute sie in den Blasschlauch ein.\" Der Prototyp des 'Miles Davis 3000' war geschaffen. Statt nervt\u00f6tendem Laubbl\u00e4serl\u00e4rm erzeugt das Ger\u00e4t nun eine fr\u00f6hliche Melodie. Im Einsatz klingt das dann so: Erste Kunden sind begeistert: \"Mein Nachbar hat mich f\u00fcr meinen Laubbl\u00e4ser gehasst. Wenn ich den 'Miles Davis 3000' anwerfe, macht er das Fenster auf und wippt fr\u00f6hlich mit. Mittlerweile sind wir die besten Freunde\", berichtet Friedrich Geffner (51). Die Euphorie ist so gro\u00df, dass sich inzwischen bereits erste Laubblasorchester bilden. Kein Wunder, dass den Bochumer Gartenmaschinenhersteller immer mehr Anfragen erreichen, ob es auch m\u00f6glich w\u00e4re, andere Blasinstrumente wie Saxophon, Tuba und Blockfl\u00f6te einzubauen. Ein australischer Kunde habe gar den Einbau eines Didgeridoos angefragt. \"Wir arbeiten daran\", so F\u00e4hnrich. Auch wenn erste Tests mit der Tuba sich im Alltagsbetrieb als wenig praktikabel erwiesen, da aufgrund der erzeugten Vibrationen mehr Bl\u00e4tter von den umliegenden B\u00e4umen fielen, als weggeblasen werden konnten. ssi, dan; Idee: ari ; Bildmaterial: Shutterstock Artikel teilen:", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0461", + "input": { + "raw_text": "Title: Milwaukee\u2019s Divide Runs Right Through Me - The New York Times\nAuthor: Bassey Etim\nContent: In Milwaukee, I lived two lives. On the East Side was the liberal Catholic school I attended for nine years on the North Side was everything else. The North Side is where I grew up, more specifically, in the 53206 ZIP code, where 62 percent of adult males have spent time behind bars, among the highest rates in the nation. It\u2019s not too far from the area you might have seen last weekend, with cars burning and police officers in riot gear. I was not surprised by the unrest that followed the death of a man who was shot by a black officer as he fled on foot a few miles from where I used to live. I can\u2019t imagine that anyone in the area was, so long have we watched this darkness form. Like many others, I saw it coming. When I read about Ferguson and the racial divides in St. Louis County, Mo. I could only think of my hometown and my neighborhood, wondering when I\u2019d see my house as a backdrop for YouTube footage of soldiers securing an American city. I heard the cries of anguished youth in Baltimore and wondered, in a dark moment, how they could dare to complain because we in Milwaukee had it worse. On the North Side that shaped me, there was a resentment, a reflexive skepticism that it took me awhile to understand as a son of Nigerian immigrants. But with experience, I got it. The only white people I saw in my neighborhood staffed the library. Parents tried to teach their children, in the most visceral ways they could imagine, to stay out of trouble. That\u2019s the main objective of parenting in Milwaukee\u2019s poorest ZIP code, in a city where the heart of the black middle class was paved over to build Interstate 94. The idea of working hard to get ahead within the system was seen as a fool\u2019s game there, laughable. These days, scrolling the Facebook pages of people who live in Wisconsin\u2019s suburbs, you will inevitably find some variant of this question: Why don\u2019t they do more to better themselves? Many of the people asking are too young or lacking in curiosity to know the answer: The state, through a variety of racist policies \u2014 some of which John Eligon and Robert Gebeloff explore in their story about segregation in Milwaukee \u2014 trained a group of humans to believe that their very presence was resented, and that even if they built better lives for themselves, it might be paved over so that people from the suburbs could drive downtown. Like most people, many black parents on the North Side passed these feelings to their children. The narrative was different on the East Side. There I saw a practiced obliviousness among parents and children that I also did not fully understand. There we hoped to be doctors and lawyers, or in my case, a journalist. On many days, I felt as if I were being shuttled between two different cities, two different worlds. The cloistered shell of liberalism to the east and the infectious anger of the streets to the north never intersected, never touched. In the East, the future was expected. It was a birthright, a source of frenetic energy. In the North, reckoning was expected. It was inevitable, a source of pride and loathing. No matter your defenses, it would surely come, and punish the hopes that lie outside your black body. Memories of my East Side life are soft, a flood of inconsequential smiles and vague encouragements offered by people living protected lives. I attended school with kids too young to hear about what I had already experienced. Memories of my North Side life are sharp, like the screwdriver in my back when I wouldn\u2019t let a boy \u201cborrow\u201d my bike. Like my mother\u2019s words after the thief\u2019s father pretended to call for him, then slammed the door because his son couldn\u2019t be bothered. My North Side memories are also hot, like the summer, when the balance of power tilts irrevocably toward the ones who spend the most time in the streets, with the largest alliances. When those boys became men, they\u2019d become crews. They\u2019d have with the ones a few blocks over, and someone might die for the pride that began here. Life on the North Side was what mattered TODAY. It was my brother and I walking down the middle of a vacant street with baseball bats, looking for the one who beat up our little brother because he won a basketball game, and that was important TODAY. It was preteen girls begging teenage boys to come through the side door of some garage, because those teenagers were so buff, and they could finally have him, and he could take them, because that\u2019s what mattered TODAY. It was when the police were called and your friend, who had a robber\u2019s gun in his mouth, had his complaint dismissed because he was probably a drug dealer, and then you sat at the door holding knives all night to protect his family. It\u2019s when the police tore apart an entire car in a search, because the passengers were dancing, leaving you on the curb, as cars drove by and people gawked \u2014 one more piece of your pride TODAY. My parents came from Nigeria to Milwaukee in 1985. They saw a land of opportunity. They had gone to college in Nigeria. Their families had always been allowed to pursue their dreams. Their hard work had always paid off. And mine did, too. I\u2019m 29 years old. I am an editor for The New York Times. Does that make me more or less of a credible voice? In this national discussion about how we equalize opportunity in this Crow era, in all of the ways that matter right now, am I even black? Or are these questions just survivor\u2019s guilt? Maybe it\u2019s just pitiful angst that has no answer and doesn\u2019t need any. Or maybe the angst can lead to answers. Before I started writing this essay, I spoke to Mandela Barnes, a state legislator who represents a district in Northwest Milwaukee, about the city and the violence. I imagined a teenager on the North Side, politically active, moderate in many ways, dedicated to helping our people. Someone maybe like me, trying to figure out how to do something that would address all the injustice. Considering the minimal loss of life from the week\u2019s unrest, and the relatively contained property damage, what do you say to a kid who says \u201cthis worked, attention is now being paid to our situation, and my friends in other cities should do the same thing?\u201d I asked him: How can you convince that teenager to take a different path when his or her friends are riding a pipeline to prison? \u201cAs frustrating as things can be, you never want to destroy your own,\u201d Mr. Barnes said. \u201cLiterally burning up your own home is not the route. There are other ways to make your voice heard. \u201d Honestly, I have my doubts. They are new, and I am nearly consumed by them. Maybe that\u2019s just the North Side of me. Or maybe that\u2019s just me.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0412", + "input": { + "raw_text": "Title: African Nations Increasingly Silence Internet to Stem Protests - The New York Times\nAuthor: Dionne Searcey and Francois Essomba\nContent: DAKAR, Senegal \u2014 Julius Ikena\u2019s trade business is at a standstill because he cannot make electronic payments to his partners. Andrew Mofor cannot get access to the small fortune \u2014 800 euros, or about $850 \u2014 that his daughter sent him through an online banking system. And Angela Atabong, a economics student in Cameroon\u2019s capital, can no longer tap out sweet nothings on the internet messaging service WhatsApp to her fianc\u00e9, who lives six hours away. All three have been thwarted by Cameroon\u2019s government, which is the latest in Africa to switch off the internet in parts or all of a nation, or to put other limits on online communication in hopes of snuffing out protests and other opposition. Officials in Cameroon and elsewhere say internet blackouts are a security measure. But they are also a hit to the fragile economies of developing nations that are increasingly reliant on online business transactions as internet access and cellphone use have exploded in recent years. Authoritarian regimes have long limited communication with the outside world during tense times. Most notably in 2011, Egyptian government officials cut internet and mobile network access to 80 million people as thousands of protesters gathered in Tahrir Square in Cairo. Governments in Myanmar, Nepal and other countries have also shut off internet access in recent years. Now, African governments are increasingly employing the tactic: Blackouts have grown most rapidly in the past two years, researchers say. In recent months, governments in several countries have turned off internet access during elections when violence broke out or was merely expected. In December in Gambia, the president at the time, Yahya Jammeh, a ruthless leader known for human rights abuses, shut off internet services and blocked international cellphone calls as votes were cast in a presidential election that eventually ousted him from office. In Gabon, officials cited security concerns for an internet blackout during presidential elections that prompted deadly demonstrations after the vote was considered by observers to be fraudulent. And in the Republic of Congo, internet access was blocked, television networks switched off and the nation\u2019s main airport closed during an election that spurred violence. Government officials were accused of using airstrikes on opposition forces. Elsewhere on the continent, Ethiopia has shut down some social media sites and internet services after demonstrations. In Zimbabwe, after protests over the travails of daily life, officials raised prices on cellphone data, a move widely seen as an effort to curb the use of social media. Lawmakers also pushed measures to allow the police to intercept data and seize electronics like laptops and cellphones, levying charges of terrorism for misuse. The Democratic Republic of Congo has blocked social media sites and text messaging amid demonstrations over the president\u2019s attempts to extend his tenure in office. Freedom House, an American watchdog organization, said in its annual Freedom on the Net survey of 65 countries that 24 nations experienced restrictions on social media and communications last year, up from 15 countries the previous year. Network shutdowns occurred in 15 countries last year, more than double that in 2015, the survey found. Mai Truong, program manager for the survey, said, \u201cIt\u2019s a strategy that the authorities are increasingly turning to as a method of controlling both the information landscape and citizens\u2019 ability to mobilize, in recognition of the fact that the internet has become a fundamental tool for people to realize their rights and participate meaningfully in society. \u201d The United Nations Human Rights Council last year condemned the practice of intentionally preventing or disrupting access to information on the internet, saying access was a fundamental human right. Network blackouts also have economic consequences. Many residents of some regions of Africa where joblessness is soaring are increasingly using online or mobile transfers to receive money from relatives in urban areas or abroad. If the internet is shut off, users cannot use to transfer cash and must pay for mobile data to go online. The cost is prohibitive for many people. Between July 1, 2015, and June 30, 2016, 81 internet shutdowns in 19 countries cost at least $2. 4 billion in gross domestic product globally, according to Darrell M. West, founding director of the Center for Technology Innovation at the Brookings Institution. \u201cAs the digital economy expands, it will become even more expensive for nations to shut down the internet,\u201d he wrote in an October analysis. \u201cWithout coordinated action by the international community, this damage is likely to accelerate in the future and further weaken global economic development. \u201d Mr. West estimated that the shutdown last year in the Republic of Congo alone dealt an $72 million hit to the economy of the struggling nation. Cameroon\u2019s continuing internet blackout affects only regions of the country. It followed weeks of protests from lawyers, teachers and other residents in those areas who have been agitating for better treatment from the government, which they say has long marginalized their communities. Before independence in the early 1960s, Cameroon was colonized by the French and the British. The Constitution allows protections for both languages, but Francophones rule the government. Most official documents are offered in French and not translated, evidence that Anglophones cite as proof of their marginalization. Some demonstrations in areas have turned violent, and security forces have fired on protesters. The blackout has attracted attention from Edward J. Snowden, the former intelligence contractor who revealed extensive surveillance and data collection programs operated by the National Security Agency. He recently criticized Cameroon\u2019s government on Twitter, saying, \u201cThis is the future of repression. \u201d A hashtag #BringBackOurInternet has been circulating. Yet the shutdown is a stopgap measure until another filtering system can get up and running, said one diplomat with knowledge of operations in the region, who declined to be identified because of continuing tensions there. The government is buying technology from Chinese companies that will allow officials to filter websites in the same fashion that the Chinese government has long employed to control content. Still, the blackout could have political ramifications for Cameroon\u2019s government. Bankers have largely stayed apolitical over the more than three decades since President Paul Biya has been in office. But as the shutdown starts to hurt their business, they could become a potent adversary, analysts fear. The blockage has also made it difficult for local journalists to report on what is widely viewed as an overly harsh government response to the demonstrations. Before the internet went dark, some cellphone users received ominous messages from officials. \u201cDear subscriber,\u201d one message the government circulated on WhatsApp warned. \u201cYou incur six months to two years imprisonment and 5 to 10 million fine if you publish or spread on the social media information that you can\u2019t prove. \u201d Another message read, \u201cDo not be an accomplice of disinformation or destabilization of our country through the social media. \u201d Some citizens in blackout areas have come up with clever ways to get around the shutdown. Cellphone users type out messages and then pay drivers who gather garbage bags full of phones and take them outside the blackout boundaries. After crossing into an area where the network is up and running, they hit the send button on each phone. Since the blackout, Henry Boh has not been able to send money to Bamenda in the northwest, where his brother needs cash to take his nephew to the hospital for treatment. \u201cThis is a clear sign that the government of Yaound\u00e9 doesn\u2019t listen to its people\u2019s voices,\u201d said Mr. Boh, who lives in Yaound\u00e9, the nation\u2019s capital. Mr. Boh said the shutdown further proved the Anglophone protesters\u2019 point that the government mistreated them. In the nation\u2019s Far North region where Islamic militants from Boko Haram wage deadly attacks, they say, the internet is operational. \u201cThe government respects Boko Haram more than us,\u201d Mr. Boh said.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0160", + "input": { + "raw_text": "Title: Hillary Clinton, Donald Trump, Turkey\u2019s Military: Your Thursday Evening Briefing - The New York Times\nAuthor: Andrea Kannapell and Sandra Stevenson\nContent: (Want to get this briefing by email? Here\u2019s the .) Good evening. Here\u2019s the latest. 1. Hillary Clinton accepted the Democratic presidential nomination tonight, taking American women to a new political peak. She offered a vision of unity, saying, \u201cWhen any barrier falls in America, for anyone, it clears the way for everyone. When there are no ceilings, the sky\u2019s the limit. \u201d Her speech directly challenged Donald Trump\u2019s ability to lead. \u201cA man you can bait with a tweet is not a man we can trust with nuclear weapons,\u201d Mrs. Clinton said. Mrs. Clinton was introduced by Chelsea Clinton, who may play a White House role if her mother wins. \u201cI\u2019m voting for a fighter who never, ever gives up,\u201d Ms. Clinton said. _____ 2. Mr. Trump said his call for Russia to hack into Mrs. Clinton\u2019s email was meant as sarcasm. But he also added to his previous praise for Vladimir Putin, saying the Russian president was \u201ca better leader than Obama. \u201d Above, a short video looking at the history of the relationship. Mr. Trump\u2019s comments have been criticized by former government officials of both major parties, as well as many foreign policy experts. Some say the security briefings he is now entitled to should be curtailed, while he counters that Mrs. Clinton\u2019s email troubles prove she should not be trusted with the briefings. _____ 3. How is Fox News getting along without its creator, Roger Ailes? Mr. Ailes left under a cloud after a lawsuit accused him of sexual harassment, which then drew corroborating accounts. Nothing looks all that different onscreen in the convention coverage. But when the cameras are off, two people with direct knowledge said, an icy silence descends over the anchor Megyn Kelly, who cooperated with the investigation into Mr. Ailes, and the Bret Baier and Brit Hume. _____ 4. The purge being carried out by Turkey\u2019s president, Recep Tayyip Erdogan, has sidelined or jailed half of the country\u2019s top generals and admirals. Some analysts warned of dangerous consequences. \u201cWith its main pillar, the military, broken, the Turkish state will no longer be able to check a divided society or effectively counter security threats,\u201d one said. Above, the army\u2019s remaining top officers gathered in Ankara, the capital. _____ 5. U. S. officials say they have new hope against the Islamic State. A trove of more than 10, 000 documents and 4. 5 terabytes of digital data recently seized in northern Syria traces the movements of militants. The information, which is being shared with allies, could help direct battlefield operations and keep plotters from entering Europe. Above, ISIS fighters in 2014. _____ 6. Pope Francis addressed a vast crowd of young people gathered for the Catholic Church\u2019s World Youth Day in Krakow, Poland. Earlier, saying Mass at a revered monastery to commemorate the 1, 050th anniversary of the country\u2019s conversion to Christianity, Francis stumbled and fell, to the consternation of thousands of assembled pilgrims. He rose unharmed. _____ 7. Opposing marches are being held in a mostly white Boston suburb divided by concerns over police shootings and police safety. The galvanizing issue is a \u201cBlack Lives Matter\u201d sign hung at City Hall in Somerville, Mass. almost a year ago. The local police are rallying to demand that the mayor, the son of Italian immigrants, put up one saying \u201cAll Lives Matter\u201d instead, while counterdemonstrators plan to urge him to keep it. _____ 8. Officials at the Bank of Japan, above, meet Friday to come up with more ways to try to end its country\u2019s long bout with deflation. One option on the table is something economists call helicopter money: dropping money from the sky, to be freely spent. Sadly, that\u2019s just a metaphor. In reality, it means printing more money to pay for government spending on public works, mass distribution of funds to citizens or tax cuts. _____ 9. The weekend is almost here. Got plans? Our movie reviewer says \u201cJason Bourne,\u201d the fifth installment of the franchise, may have rote aspects. But he says that tone befits a film that is less a thriller than \u201ca somber meditation on the crisis of the professional in the throes of middle age. \u201d And there\u2019s \u201cBad Moms,\u201d featuring six overachieving female characters summed up by the lines: \u201cWe\u2019re killing ourselves to be perfect and it\u2019s making us insane. Screw it. \u201d Also, check out our Book Review\u2019s roundup of summer thrillers. _____ 10. And maybe exercise a bit. A new study found that being out of shape may be second only to smoking as a risk factor for premature death. \u201cEven small amounts of physical activity may have positive effects on fitness,\u201d the lead researcher said. _____ 11. Finally, we leave you with a great dessert for summer: thick, strained yogurt, sweetened and enhanced with pistachios or almonds, cardamom and saffron. Called shrikhand in India, it suits spoons everywhere. _____ Your Evening Briefing is posted at 6 p. m. Eastern. And don\u2019t miss Your Morning Briefing, posted weekdays at 6 a. m. Eastern, and Your Weekend Briefing, posted at 6 a. m. Sundays. Want to look back? Here\u2019s last night\u2019s briefing. What did you like? What do you want to see here? Let us know at briefing@nytimes. com.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0029", + "input": { + "raw_text": "Title: World\u2019s Life Expectancy Cut By 4 Billion Years\nAuthor: Julius Hubris\nContent: 0 Add Comment \nTHE WORLD\u2019s leading scientists have hastily revised Earth\u2019s life expectancy after taking on board new data which has just come to light in the last 24 hours. \nHuge, cataclysmic tremors felt on North America faultlines have led scientists from leading institutions to report that the planet, once estimated to live on for some 4 billion years in one form or another, may not live as long as once predicted. \n\u201cWe are compelled to alter our projections for Earth\u2019s life expectancy dramatically,\u201d explained lead researcher at the Institute of Studies, Professor Thalia Ambrosio. \n\u201cWhile Earth\u2019s vital signs initially looked normal enough, we\u2019re now looking at 4 years tops,\u201d Prof. Ambrosio added. \u201cWe\u2019re raising the end of the world alert level from red to a tanned, leathery orange\u201d. \nThis startling news has had a profound effect on the Earth\u2019s population, with many asking what they can do to prolong the life of the planet. \nHowever, scientists were quick to point out that the cut in life expectancy is not something that is likely to change. \n\u201cWe know people are keen to help, but honestly, some people are under the impression moving to Canada will somehow help the planet which we must point out doesn\u2019t really do anything,\u201d Prof. Ambrosio concluded. \nThe group of scientists confirmed they could go into specific details about just how the world will come to an end in the coming years, but will resist doing so because \u2018you look worried enough as it is\u2019.", + "prompt": "<<>>. Classify if this news article is real or fake. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Financial-Sentiment-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Financial-Sentiment-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ce5465ec3ad97145a83541c1c796e27d3c4ec26 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Financial-Sentiment-Classification/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "financial_sentiment_classification", + "data_source": "financial_news", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0201", + "input": { + "raw_text": "The increase range will vary up to 10 % .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0469", + "input": { + "raw_text": "BHP Billiton posts big loss, slashes dividend", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0472", + "input": { + "raw_text": "The agreement includes application maintenance and support services .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0206", + "input": { + "raw_text": "Mr Lee said he hoped that Neste 's move will ` pave the way for more collaboration projects between our two countries ' .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0106", + "input": { + "raw_text": "( ADPnews ) - Feb 3 , 2010 - Finland-based steel maker Rautaruukki Oyj ( HEL : RTRKS ) , or Ruukki , said today it slipped to a larger-than-expected pretax loss of EUR 46 million ( USD 64.5 m ) in the fourth quarter of 2009 from a", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0359", + "input": { + "raw_text": "$KIOR My god. Market getting crushed today. Gotta hold if anything g should recover some tomorrow I imagine.", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0214", + "input": { + "raw_text": "The subdivision made sales revenues last year of EUR 480.7 million EUR 414.9 million in 2008 , and operating profits of EUR 44.5 million EUR 7.4 million .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0070", + "input": { + "raw_text": "Byline : Tim Moran Cellular phone giant Nokia Corp. is offering $ 8.1 billion for digital map supplier NAVTEQ Corp. , of Chicago .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0346", + "input": { + "raw_text": "Asahi could be about to snap up more of SABMiller's beers ahead of AB InBev sale", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0499", + "input": { + "raw_text": "Rinkuskiai raised the sales by 18.1 percent , to 1.37 million liters , while the sales of Kauno Alus grew by 14.3 percent , to 960,000 liters .", + "prompt": "<<>>. Classify the sentiment of this financial news article into one of these categories: positive (good news, optimistic), negative (bad news, pessimistic), or neutral (factual, no clear sentiment). Provide only the category name as output." + }, + "output": { + "sentiment": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Gene-Protein-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Gene-Protein-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88463202a48e8395d74a28fa7757b3ea29484c9d --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Gene-Protein-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "gene_protein_ner", + "data_source": "genia_corpus", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0366", + "input": { + "raw_text": "As shown by mobility-shift , methylation interference , and mutational analyses , the mammalian protein BSAP recognizes all four sea urchin binding sites in a manner indistinguishable from TSAP ; however, the two proteins differ in molecular weight.", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0300", + "input": { + "raw_text": "In a series of functional studies we found that modulation of the level of the mRNAs coding for both the c-myc oncogene and the growth factor known as granulocyte-monocyte colony stimulating activity by 1,25(OH)2D3 correlated with the 1,25(OH)2D3 receptor status of these cells.", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0062", + "input": { + "raw_text": "A 2-4-fold increase in IFN-beta promoter transcription was observed in Sendai virus induced extracts , and deletion of PRDI and PRDII elements decreased this induced level of transcription .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0301", + "input": { + "raw_text": "Use of these cell lines will facilitate further study of the molecular defect(s) in the receptor for 1,25(OH)2D3 in vitamin D-dependent rickets type II and will allow a correlation with impairment of cellular functions .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0190", + "input": { + "raw_text": "Quantitation of glucocorticoid receptors ( GCR ) and the study of their affinity for glucocorticosteroids ( GCS ) were made in peripheral blood lymphocytes of bronchial asthma ( BA ) patients in consideration of GCR treatment and serum levels of endogenous cortisol .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0084", + "input": { + "raw_text": "Moreover, cAMP activators did not activate NF-kappa B in Jurkat cells .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0478", + "input": { + "raw_text": "Neither FKBP binding nor inhibition of rotamase activity of FKBP alone is sufficient to explain the biologic actions of these drugs.", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0116", + "input": { + "raw_text": "Thyroid hormone receptors form distinct nuclear protein- dependent and independent complexes with a thyroid hormone response element .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0206", + "input": { + "raw_text": "Since the adenovirus E2 promoter has been well characterized and is known to be regulated by transactivators encoded by many viruses , the activity of this promoter in specific cell types is discussed in reference to both the biology of the cell and the possible presence of as yet undetected viral gene products .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0373", + "input": { + "raw_text": "The expression of the antibody-encoding genes , the immunoglobulin (Ig) genes , is also restricted to B cells .", + "prompt": "<<>>. Extract all biomedical entities and their types from this text. The possible entity types are: protein, DNA, cell_type, cell_line, RNA. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Genetic-Association-Database/annotation.json b/Scope-A/S-A-Quick/nlp/Genetic-Association-Database/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ac2beeb35d20b4523bcbcf8e5736f07bd8494521 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Genetic-Association-Database/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "genetic_association_classification", + "data_source": "genetic_association_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0388", + "input": { + "raw_text": "We conclude that @GENE$ is associated with @DISEASE$ and metabolic deterioration but does not contribute to an increased risk for type 2 diabetes.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0182", + "input": { + "raw_text": "Our results suggest that the polymorphism in @GENE$ gene might not confer increased susceptibility for @DISEASE$ in a Japanese population.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0228", + "input": { + "raw_text": "These results suggest that the genomic interval of @GENE$ probably involved in transcriptional regulation does not display major genetic relevance in Japanese @DISEASE$ patients.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0380", + "input": { + "raw_text": "We postulate that the @GENE$ gene might not be a susceptibility gene for @DISEASE$ at least in the Chinese population.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0367", + "input": { + "raw_text": "We conclude that the @GENE$ N314D allele does not predispose to @DISEASE$.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0415", + "input": { + "raw_text": "On the whole, our data suggest that @DISEASE$ and @GENE$ polymorphisms, as well as their haplotypes, are unlikely to be associated with successful human longevity.", + "prompt": "<<>>. Classify the association between @DISEASE$ and @GENE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0260", + "input": { + "raw_text": "Our results suggest that the @GENE$-Pro(340)Ala polymorphism contributes to @DISEASE$ risk.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0186", + "input": { + "raw_text": "All our results indicate that the presence of the @GENE$ genotype (++) in patients with structural heart disease, severe left ventricular dysfunction and malignant ventricular @DISEASE$ increases the risk for these patients of hemodynamic collapse during these arrhythmias.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0191", + "input": { + "raw_text": "Thus, in contrast to prior studies reporting positive association of the @GENE$ gene with schizophrenia in both Irish and German population, our data indicate that the human DTNBP1 is unlikely a major susceptible gene for @DISEASE$ in Chinese Han patients from Taiwan.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + }, + { + "id": "0329", + "input": { + "raw_text": "revealed no significant association between schizophrenia and the SNPs in the upstream region of @GENE$, these SNPs apparently do not play a critical role in the @DISEASE$ of schizophrenia in the Japanese population.", + "prompt": "<<>>. Classify the association between @GENE$ and @DISEASE$. The possible association types are: negative, positive. Please provide only the association type." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Geological-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Geological-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..078663ff5754faec81d729036f083b1fe93d6d7f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Geological-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "geological_ner", + "data_source": "bgs_geological_corpus", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0431", + "input": { + "raw_text": "These consist , in upwards succession , of the Index Limestone , the Lyoncross and the Plean Nos. 1 and 2 limestones .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0154", + "input": { + "raw_text": "Upper and lower boundaries : The base lies in a transitional sequence and is taken at the base of the lowest of the Macgregor Marine Bands .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0481", + "input": { + "raw_text": "Bivalves were found at a horizon between the Kiltongue Mussel Band and the Airdrie Virtuewell Coal in the Dalserf Burn -LSB- NS 7987 5044 -RSB- , 120m upstream from the road bridge .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0054", + "input": { + "raw_text": "Browne and Monro -LRB- 1989 , Figures 5 , 6 , 8 , 9 , 12 , 13 , 16,17 , 20 , 21 and 23 -RRB- also presented palaeogeographical maps or the Carboniferous of central Scotland .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0110", + "input": { + "raw_text": "FIFE In Fife , the Strathclyde Group comprises the Fife Ness Formation , the Anstruther Formation , the Pittenweem Formation , the Sandy Craig Formation and the Pathhead Formation .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0094", + "input": { + "raw_text": "The name is now defined to acknowledge the presence of sandstones , which locally may be thick , so that the term encompasses the strata in the Lothians that were earlier -LRB- Chisholm et al. , 1989 -RRB- called Tyninghame Formation .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0374", + "input": { + "raw_text": "At an intervening locality -LSB- NS 6475 4002 -RSB- , the limestone is absent and only a thin coal and its seat lie between the top of the Kirkwood Formation and the base of the Lower Limestone Formation .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0132", + "input": { + "raw_text": "5.5 Sandy Craig Formation Lithology : The Sandy Craig Formation is characterised by mudstone and siltstone with a minor percentage of algal-rich oil shale .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0221", + "input": { + "raw_text": "7.4 Passage Formation Lithology : The Passage Formation -LRB- Figure 6 -RRB- is characterised by an alternation of fine - to coarse-grained sandstones -LRB- with some conglomerates -RRB- and structureless clayrocks -LRB- including some high-alumina seatclay , fireclay and bauxitic clay -RRB- .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0402", + "input": { + "raw_text": "The Muirkirk Wee Limestone , regarded as the local equivalent of the Blackhall Limestone of the Central Coalfield sequence , is up to 1.3m thick and lies approximately 10m higher in the succession .", + "prompt": "<<>>. Extract all geological entities and their types from this text. The possible entity types are: BIOZONE, CHRONOSTRAT, LEXICON. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Grammar-Correction/annotation.json b/Scope-A/S-A-Quick/nlp/Grammar-Correction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..031b792e9db6a36e8396fe439832a37e64659149 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Grammar-Correction/annotation.json @@ -0,0 +1,216 @@ +{ + "task": "Grammar Correction", + "type": "Grammar Correction", + "version": "1.0", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "gc272", + "input": { + "Error Type": "Sentence Structure Errors", + "Ungrammatical Statement": "The bike needs repaired before we can drive it." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc287", + "input": { + "Error Type": "Capitalization Errors", + "Ungrammatical Statement": "the great wall of china is an iconic milestone in china." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc243", + "input": { + "Error Type": "Preposition Usage", + "Ungrammatical Statement": "In Friday, I will go to the supermarket." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc015", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "The computer not functioning properly." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc183", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The team of scribes collaborate on the manuscript." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc069", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "The party was arrange by the event planner." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc225", + "input": { + "Error Type": "Article Usage", + "Ungrammatical Statement": "He is attending a meeting on a technology." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc135", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The collection of keys are on the kitchen counter." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc008", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "The vehicle need to be repaired." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc050", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "The photographer take a picture of the horizon." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc152", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The squad of doctors have developed a new treatment." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc185", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The group of crows nests in the trees." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc238", + "input": { + "Error Type": "Article Usage", + "Ungrammatical Statement": "I have a meeting with a principal of a college." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc149", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The herd of cattle graze in the field." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc004", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "He don't know the solution." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc154", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The group of helpers work tirelessly to assist the community." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc212", + "input": { + "Error Type": "Article Usage", + "Ungrammatical Statement": "Can you turn off a TV, please?" + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc059", + "input": { + "Error Type": "Verb Tense Errors", + "Ungrammatical Statement": "The show begins in an hour." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc132", + "input": { + "Error Type": "Subject-Verb Agreement", + "Ungrammatical Statement": "The group of demonstrators was chanting loudly." + }, + "output": { + "Standard English": "" + } + }, + { + "id": "gc296", + "input": { + "Error Type": "Conjunction Misuse", + "Ungrammatical Statement": "I need to study, or I need to work on the program." + }, + "output": { + "Standard English": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Hate-Speech-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Hate-Speech-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7af69f94c75124fbe07bbdcc7334a7c54811308c --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Hate-Speech-Detection/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "hate_speech_detection", + "data_source": "hate_speech_detection_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0290", + "input": { + "raw_text": "@TheLadyGamer if you gotta shout u a bad bitch... u ain't a bad bitch 😌", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0449", + "input": { + "raw_text": "@kieffer_jason @sbsylvester bitch what where y'all be at come to town east mall u and your bitch fuck boys", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0395", + "input": { + "raw_text": "RT @tbhjust: \"what are you twelve\"\n\nyeah on a scale of one to ten\n\nbitch", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0340", + "input": { + "raw_text": "“@G_Anderson4: I'm Dre's a bitch tho” 😏", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0275", + "input": { + "raw_text": "As a girlfriend I'm NEVER getting close to my boyfriend friends , cause they can be telling me one thing , and telling these hoes another.", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0119", + "input": { + "raw_text": "Wowwww this bitch is so ratchet holy crap", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0185", + "input": { + "raw_text": "Any man even considering plastic surgery is gay gay gay imagine ya boy say \"I'd get more hoes then u after I get these new lips\" 😂😂😂", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0011", + "input": { + "raw_text": "#porn,#android,#iphone,#ipad,#sex,#xxx, | #Korean | korean girlfriend pussy http://t.co/Od1MQUudnN", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0038", + "input": { + "raw_text": "Absolutely absurd that they even had to think about that call. #joke #zebras", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0321", + "input": { + "raw_text": "RT @Manstagram_: This bitch went full on retard http://t.co/nXj4QqGMx2", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0105", + "input": { + "raw_text": "RT @AdamSchein: Great job by the Yankees giving Brian Cashman a new contract. The haters are just wrong. CC: @ChrisCarlinSNY", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0262", + "input": { + "raw_text": "@todd_calfee @WdmJeff Hell - was lucky to have gravel - dirt roads were a bitch", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0242", + "input": { + "raw_text": "@AmericanMirror @Praedor The Cop was bitch slapped by this wanna B st. thug. And he got what TM got Dead See you don't slap cops they R law", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0318", + "input": { + "raw_text": "“@RegularAssRon: Ain't nothing better in life than meeting a hoe with a full time job”don't let her have her own benefits nigga what", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0236", + "input": { + "raw_text": "wearing pajamas tonight 4 da gook \nUDigg \n\nGrey day", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0325", + "input": { + "raw_text": "All you bitches thirsty hella worried about IG", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0230", + "input": { + "raw_text": "RT @YaBoyKip: \"I hope this bitch ain't a catfish\" http://t.co/56JKqioEPE", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0109", + "input": { + "raw_text": "RT @zippy1981: @voretaq7 from a TDD POV linux is just a mock for the kernel of the GNU/HURD system.", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0020", + "input": { + "raw_text": "RT @LuvKittensDaily: Oreo being adorable http://t.co/5ZMZVT0sUl", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0052", + "input": { + "raw_text": "@_xpriceless_ bitch u forcin it talkin about my family and shit watch out", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0019", + "input": { + "raw_text": "Lol!! “@ItzSweetz_Bitch: Ooop! QT @TiFFANY_P0RSCHE: You little twats.”", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0326", + "input": { + "raw_text": "@JawShoeeAhhh shut up bitch", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0376", + "input": { + "raw_text": "RT @SlikHawk: That's who dumb bitch! #GoHawks http://t.co/0iNjjm374v", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0387", + "input": { + "raw_text": "Comin from a fat bitch", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0286", + "input": { + "raw_text": "you bitches love yall some corny nigga", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0026", + "input": { + "raw_text": "RT @YoungMoneyKem: @scottvohar @matty_kem Nigga I'm just popping Molly & stepping out. You bowling bitch don't come at me", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0411", + "input": { + "raw_text": "You can't be mad when people call you a hoe if you out here acting like one", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0427", + "input": { + "raw_text": "RT @NikoWavy: If you know yo pussy smells like death why tf would you sit there an let a nigga finger you? Bitches have no shame man.", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0069", + "input": { + "raw_text": "@LaurenJauregui ur so anal stfu for once u bitch", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + }, + { + "id": "0177", + "input": { + "raw_text": "I'm a couple bitches header 😎 ioeno em 😂😂", + "prompt": "<<>>. Classify if this text contains hate speech or not. Provide only the category name as output: hate_speech or non_hate_speech." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/History-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/History-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..80ebc0f1721c505ccf4a39c678298461c34b2e42 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/History-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "History Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "hqa036", + "input": { + "question": "What was the significance of the Battle of Mactan in 1521 for Philippine history?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa429", + "input": { + "question": "What role did trade play in the development of the Inca Empire?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa177", + "input": { + "question": "What was the impact of the Bantu Migration on African culture and language?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa169", + "input": { + "question": "How did the Portuguese influence the transatlantic slave trade?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa374", + "input": { + "question": "What was the impact of the Islamic Golden Age on European medieval thought?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa145", + "input": { + "question": "How did the establishment of the Silk Road under the Han Dynasty influence the cultural exchange between China and the West?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa354", + "input": { + "question": "Who was the first Muslim ruler to establish control over Bengal?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa251", + "input": { + "question": "How did the Ming Dynasty's approach to governance differ from the Tang Dynasty's system?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa295", + "input": { + "question": "What was the significance of the Grito de Dolores in Mexico\u2019s independence movement?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa291", + "input": { + "question": "Place the following events in chronological order: the unification of China by Qin Shi Huang, the opening of the Silk Road, the reign of Emperor Wu of Han." + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa144", + "input": { + "question": "How did Japan's economy change during the Tokugawa period?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa057", + "input": { + "question": "What were the main causes of the 1948 Arab-Israeli War?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa198", + "input": { + "question": "What was the impact of the Emancipation Proclamation on slavery?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa069", + "input": { + "question": "What was the role of Emperor Wu of Han in the expansion of the Silk Road?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa142", + "input": { + "question": "How did the Iranian Revolution of 1979 transform the political landscape of the Middle East?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa355", + "input": { + "question": "What were the causes of the Nigerian Civil War (1967-1970), and what was the outcome?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa422", + "input": { + "question": "Who was the famous Mongol leader that founded the Yuan Dynasty?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa304", + "input": { + "question": "How did the Islamic Empire influence the European Renaissance?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa368", + "input": { + "question": "How did the independence of Argentina influence other Latin American countries?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa469", + "input": { + "question": "What was the impact of the Spanish language on the Americas after centuries of colonization?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa105", + "input": { + "question": "Why did Japan surrender in 1945, ending its participation in World War II?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa455", + "input": { + "question": "What was the role of Pan-Africanism in shaping post-independence Africa?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa254", + "input": { + "question": "How did the Kingdom of Kongo's political structure impact its relations with European colonizers?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa233", + "input": { + "question": "What role did the military governors (jiedushi) play in the decline of the Tang Dynasty?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa148", + "input": { + "question": "What were the key political and economic reforms in South Korea after the Korean War?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa116", + "input": { + "question": "What were the economic and political impacts of British colonial rule on India?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa078", + "input": { + "question": "What was the name of the imperial examination system that was expanded during the Song Dynasty?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa065", + "input": { + "question": "How did the Tang Dynasty influence the development of East Asian culture?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa316", + "input": { + "question": "How did the Berlin Conference of 1884-1885 affect African political boundaries?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa023", + "input": { + "question": "How did the Five-Year Plans in the 1950s and 1960s affect China's economic development?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Humanities-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Humanities-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..88124e9d70b86e1c91711680232069eb60c2e0fc --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Humanities-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Humanities Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "hqa088", + "input": { + "question": "What is the cultural practice of 'Harajuku' in Japan, and how does it reflect youth culture?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa236", + "input": { + "question": "How can UNESCO\u2019s World Heritage List help protect and promote cultural heritage?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa207", + "input": { + "question": "In which novel does John Steinbeck explore the plight of migrant workers during the Great Depression?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa375", + "input": { + "question": "How did the moral standards of Ancient Greece influence Western philosophy?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa072", + "input": { + "question": "How does Marxism view the relationship between material conditions and human consciousness?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa216", + "input": { + "question": "How does the nomination process for UNESCO World Heritage Sites work?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa099", + "input": { + "question": "How does the concept of 'original sin' in Christianity influence the understanding of human nature?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa047", + "input": { + "question": "What is the role of irony in Romantic literature, and how does it affect the themes explored?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa373", + "input": { + "question": "How did the literary movement of Surrealism challenge the traditional boundaries between reality and imagination?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa208", + "input": { + "question": "What ethical challenges arise when a utilitarian approach justifies harmful actions for the benefit of the majority?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa102", + "input": { + "question": "What was the influence of Johann Heinrich Pestalozzi on modern education?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa201", + "input": { + "question": "How did the education system in Ancient China differ from that of Ancient Greece?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa013", + "input": { + "question": "What is the significance of the green light in F. Scott Fitzgerald's *The Great Gatsby*?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa420", + "input": { + "question": "What unique myths and art forms are found in New Zealand's Maori culture?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa012", + "input": { + "question": "What is the relationship between social class and access to resources?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa371", + "input": { + "question": "What impact did John Dewey's philosophy of education have on the development of American schools?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa452", + "input": { + "question": "What is the concept of 'cultural sustainability' and how does it relate to heritage preservation?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa432", + "input": { + "question": "How does Virginia Woolf use stream-of-consciousness technique in *Mrs Dalloway*?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa393", + "input": { + "question": "How does Aristotle's concept of 'eudaimonia' relate to the idea of a good life?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa448", + "input": { + "question": "Who is the narrator of 'The Catcher in the Rye' by J.D. Salinger?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa230", + "input": { + "question": "What ethical challenges arose from the technological advances of the 20th century?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa300", + "input": { + "question": "Which novel by Charles Dickens portrays the struggles of an orphan named Pip?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa345", + "input": { + "question": "How has the 'Trojan War' in Greek mythology influenced Western literature?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa492", + "input": { + "question": "How do social mobility and meritocracy relate to social structure?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa318", + "input": { + "question": "What is the role of 'fairness' in ethical theories like Rawls' Theory of Justice?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa086", + "input": { + "question": "What is the role of the Advisory Bodies in the World Heritage Committee?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa053", + "input": { + "question": "What does the symbol of 'Marianne' represent in France?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa177", + "input": { + "question": "What role does virtue ethics play in moral judgment?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa269", + "input": { + "question": "What is the significance of the 'Festa Junina' in Brazil, and what activities are typically involved?" + }, + "output": { + "answer": "" + } + }, + { + "id": "hqa185", + "input": { + "question": "What impact did the 1944 Education Act in the United Kingdom have on education?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Humor-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Humor-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4d9a7796560ef242293df0d706c004f3f85bbd85 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Humor-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "humor_detection", + "data_source": "humor_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0381", + "input": { + "raw_text": "When people tell me to stop acting like a flamingo..._____...that\u2019s when I put my foot down. ", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0041", + "input": { + "raw_text": "I wish I could be ugly for one day._____Being ugly every day sucks.", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0175", + "input": { + "raw_text": "I made a pass at my mother-in-law, and now my wife is furious._____She tripped over the ball and broke her nose.", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0198", + "input": { + "raw_text": "They want me to be positive_____[deleted]", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0068", + "input": { + "raw_text": "A woman on a train is refusing to let a tired soldier sit down_____An American soldier, serving in World War II had just returned from several weeks of battle on the German front lines.The soldier had been granted rest and relaxation and was on a train that was bound for London.The train was very crowded, so the soldier walked the length of the train in hopes of finding an empty seat.The only empty seat was directly adjacent to a well dressed middle aged English lady and was being used by her little dog.The weary soldier asked, \"Please ma'am, may I sit in that seat?\"The English woman looked down her nose at the solider and sniffed then said, \"You Americans. You are such a rude class of people. Can't you see that my little pooch is using that seat?\"The soldier walked away, looking if there were any other unoccupied seats to use, but after another trip down to the end of the train, he found himself facing the woman with the dog again.Again, the soldier asked, \"Please lady. May I sit there? I'm very tired.\"The English woman wrinkled her nose and snorted out loud, \"You Americans! Not only are you rude, you are also extremely arrogant!\"The soldier didn't say anything else; he leaned over, picked up the little dog and tossed it out the window of the train and sat down in the empty seat.The Woman, at a loss for words; shrieked, railed and demanded that someone defend her and chastise the soldier.An English gentlemen sitting across the aisle spoke up and said, \"You know, sir, you Americans do seem to have a penchant for doing the wrong thing. You eat holding the fork in the wrong hand, you drive your autos on the wrong side of the road and now, sir, you've thrown the wrong bitch out the window!.\"", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0115", + "input": { + "raw_text": "A woman is having an affair while her husband is at work_____Her 9 year old son comes home unexpectedly, sees them and hides in the bedroom closet to watch.The woman's husband also comes home. She puts her lover in the closet, not realizing that the little boy is in there already.The little boy says, \"It's dark in here.\"The man says, \"Yes, it is.\"The boy says \"I have a baseball.\"The man says \"That's nice.\"Boy asks \"Want to buy it?\"Man replies \"No, thanks.\"Boy says \"My dad's outside.\"Man \"okay, how much?\"Boy \"$250\"In the next few weeks, it happens again that the boy and the lover are in the closet together.Boy \"Its dark in here.\"Man \"Yes, it is.\"Boy \"I have a baseball glove.\"The lover remembering the last time, asks the boy, \"How much?\"Boy \"$750?Man \"fine\"A few days later, the father says to the boy, \"Grab your glove, let's go outside and have a game of catch.\"The boy says, \"I can't, I sold my baseball and my glove.\"The father asks, \"How much did you sell them for?\"Boy ~ \"$1,000?\"The father says, \"That's terrible to overcharge your friends like that\u2026 that is way more than those two things cost.\"\"I'm going to take you to church and make you confess.\"They go to the church and the father makes the little boy sit in the confession booth and he closes the door.The boy says, \"It's dark in here.\"The priest says, \"Don't start that crap again.\"", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0144", + "input": { + "raw_text": "I failed my driving test today. I was driving down a country road with the examiner, when a rabbit ran out right in front of the car._____I remembered my instructor said you should never swerve or try to avoid an animal, because it's dangerous and you can end up causing a more serious accident.You should always just hit it and keep on driving.Had to chase that little bugger for miles across the fields before I finally got it!", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0096", + "input": { + "raw_text": "Two ladies in heaven_____1st woman: Hi Wanda!2nd woman: Ohmigod, Sylvia! How did you die?1st woman: I froze to death.2nd woman: How horrible!1st woman: It wasn't so bad. After I quit shaking from the cold, I began to get warm and sleepy and finally died a peaceful death. What about you?2nd woman: I had a massive heart attack. I suspected my husband was cheating, so I came home early to catch him. But instead I found him all by himself in the den watching TV.1st woman: So then what happened?2nd woman: I was so sure there was another woman in the house that I started running all over the house looking, I ran up into the attic to search and then down into the basement. Then I went through every closet and checked under the beds. I kept this up until I had looked everywhere in the house. Finally I became so exhausted that I just keeled over with a heart attack and died,.1st woman: Too bad you didn't look in the freezer. We'd both still be alive.", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0329", + "input": { + "raw_text": "Mothers have Mothers day, father's have Father's day, couples have Valentine's day_____and I have Palm Sunday.", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0179", + "input": { + "raw_text": "On his death bed, an old jew says to his wife:_____Oh, Sarah, when the shop burned down you were right beside me, no? - Sure I was, Moshe.When the Nazis drove us out of our beloved Deutschland you were beside me again, no? - I was, Moshe.And now you're at my death bed, aren't you? - I am, darling.I'm starting to think you're bad luck, Sarah.", + "prompt": "<<>>. Classify the text as either 'Humorous' or 'Not Humorous'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Intent-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Intent-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..072ba67cf02e5afbc200732601d89bb5448584d9 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Intent-Classification/annotation.json @@ -0,0 +1,217 @@ +{ + "task": "intent_detection", + "data_source": "atis_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0459", + "input": { + "raw_text": "what are the flights between dallas and phoenix", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0411", + "input": { + "raw_text": "what are the nonstop flights from cincinnati to charlotte leaving after noon and arriving before 7 pm", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0480", + "input": { + "raw_text": "please find a flight from newark to orlando", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0130", + "input": { + "raw_text": "show me the flights from detroit to las vegas", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0389", + "input": { + "raw_text": "list flights from miami to indianapolis on sunday", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0231", + "input": { + "raw_text": "i need information on flights from toronto to san diego", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0387", + "input": { + "raw_text": "i want to fly from indianapolis to seattle round trip with the cheapest fare", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0339", + "input": { + "raw_text": "list flights from houston to milwaukee friday pm", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0457", + "input": { + "raw_text": "i need to get from cincinnati to denver on june sixth by 6 pm", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0447", + "input": { + "raw_text": "show me the cheapest one way flight from san francisco to houston", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0352", + "input": { + "raw_text": "please list all flights from nashville to memphis on monday morning", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0228", + "input": { + "raw_text": "how long does a flight from baltimore to san francisco take", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0342", + "input": { + "raw_text": "show me the flights between pittsburgh and washington dc", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0347", + "input": { + "raw_text": "what are the flights from boston to orlando that stop in new york", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0494", + "input": { + "raw_text": "list wednesday night flights from oakland to salt lake city", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0098", + "input": { + "raw_text": "what's the cheapest flight from san francisco to denver", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0255", + "input": { + "raw_text": "what is the latest daily flight between oakland and salt lake city", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0070", + "input": { + "raw_text": "i would like to return from chicago around 7 pm to kansas city", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0203", + "input": { + "raw_text": "i need to fly from denver to westchester county on june seventh after 3 pm", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + }, + { + "id": "0355", + "input": { + "raw_text": "what are the flights from las vegas to ontario", + "prompt": "<<>>. Detect the intent of this utterance. Choose from these intents: atis_abbreviation, atis_aircraft, atis_airfare, atis_airline, atis_airport, atis_capacity, atis_cheapest, atis_city, atis_day_name, atis_distance, atis_flight, atis_flight_no, atis_flight_time, atis_ground_fare, atis_ground_service, atis_meal, atis_quantity, atis_restriction. Provide only the intent name as output." + }, + "output": { + "intent": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Joint-NER-And-RE/annotation.json b/Scope-A/S-A-Quick/nlp/Joint-NER-And-RE/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4c69d10b4c21452b3de3e130d43cf37059e1f998 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Joint-NER-And-RE/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "joint_ner_and_re", + "data_source": "tacred", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0423", + "input": { + "raw_text": "China 's first cross-provincial coalbed methane pipeline has been approved by the National Development and Reform Commission -LRB- NDRC -RRB- , said China United Coalbed Methane Corp. on Thursday .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0037", + "input": { + "raw_text": "Some 200 workers at the New Fabris factory outside the southwest city of Chatellerault , are each demanding euro30 ,000 -LRB- $ 42,267 -RRB- from Renault and PSA Peugeot-Citroen , accusing the carmakers of killing their livelihoods .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0400", + "input": { + "raw_text": "Samudio , 25 , had been demanding a DNA test to prove that the married footballer was the father of her four-month-old child .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0172", + "input": { + "raw_text": "The envoy , Youssoufou Bamba , made the plea after handing over his credentials as envoy to the United Nations to UN Secretary General Ban Ki-moon .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0274", + "input": { + "raw_text": "Wen Qiang , who once headed the judiciary and served as deputy police chief in the southwest mega-city , stands accused of taking more than two million dollars in bribes , multiple rapes and protecting organised crime networks .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0030", + "input": { + "raw_text": "Guardian Unlimited `` Too many Americans , whites and even some blacks , think that the playing field has indeed levelled , '' said Marc Morial , president and CEO of the National Urban League .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0340", + "input": { + "raw_text": "Oscar winning film and theatre director Stephen Daldry was appointed as the executive producer of creative , Beijing 2008 Games designer Mark Fisher as the executive producer of design , Grammy and BAFTA award nominated TV director Hamish Hamilton as the executive producer of broadcast and producer for the 2006 Doha Asian Games in Doha Catherine Ugwu as the executive producer of production .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0001", + "input": { + "raw_text": "`` The outrage is spreading right through society , '' Ahmed Rashid , a Pakistani author and expert on Islamic militancy , said by telephone Wednesday night from Lahore .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0350", + "input": { + "raw_text": "The 65-year-old strongman 's most notorious lieutenant , Minister for Youth Charles Ble Goude , has been holding a series of rallies , firing up supporters with denunciations of international interference in Ivory Coast .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + }, + { + "id": "0450", + "input": { + "raw_text": "A deep-rooted concept among wealthy individuals in China is to leave their entire fortunes to their descendants , which might be a major obstacle to charities attracting donations , according to Zhang Yinjun , spokesperson with one of China 's largest charity organization , the China Charity Federation .", + "prompt": "<<>>. Extract the entities with their types and their relationships. Format the output as 'entity1 (type1) => relation => entity2 (type2)'.There are only two entities and one relation in the sentence." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Legal-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Legal-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..824d615b89e2b5f9e63140d10f11e6f43fd3f59b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Legal-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "legal_ner", + "data_source": "indian_legal_judgements", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0121", + "input": { + "raw_text": "While considering the provisions of section 482 of the Code of Criminal Procedure, similar view is taken by the Hon'ble Supreme Court in the case of Rishipal Singh v. State of U.P., reported in (2014) 7 SCC 215, wherein at paragraphs 10 and 17 it is held as under:\n 10.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0372", + "input": { + "raw_text": "He also admitted that after seizure of MO4, he did not verify either from PW.1 or from PW2 Azeemuddin or any of the staff members of the police station as to whom the said MO4 cell phone belonged to.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0386", + "input": { + "raw_text": "Considering the same, this witness was serving in Alembic Glass Company therefore he did not reside at Ghayaj for years.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0054", + "input": { + "raw_text": "In terms of section 92B of the Income Tax Act, 1961 (Act), the above transactions were international transactions.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0464", + "input": { + "raw_text": "7.1 Prior to the coming into force of the Electricity Act, 2003, the Indian Electricity Act, 1910 governed the law pertaining to the use and supply of electricity in India.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0047", + "input": { + "raw_text": "Reference was also made to the following passage from the judgment of this court in Bimal Gurun v. Union of India 5, wherein it was held as under:\n \u201cDemonstrations whether political, religious or social or other demonstrations which create public, disturbances or operate as nuisances, or create or manifestly threaten some tangible public or private mischief", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0359", + "input": { + "raw_text": "In Larsen & Toubro Ltd. v. State of Gujarat and Ors.237, in the absence of a challenge to the acquisition proceedings within a reasonable time, the challenge was repelled.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0061", + "input": { + "raw_text": "It was deposed that in April, 2009, the wife came to know that the husband was having an affair with one Ms. Deepa, who is a resident of Bulandshahar and that photographs of Ms. Deepa were seen on the mobile phone of the husband.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0127", + "input": { + "raw_text": "It then went on to hold that an appeal against an order under Section 17(2) of the Arbitration Act would be maintainable under the provisions of the Code of Civil Procedure on the basis of the reasoning contained in a Delhi High Court judgment in South Delhi Municipal Corporation v. Tech Mahindra, (2019) SCC Online Delhi 11863, relying upon paragraphs 8 to 11 thereof.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0092", + "input": { + "raw_text": "But the High Court in exercise of power under Section 100 CPC cannot interfere with the erroneous finding of fact howsoever the gross error seeing to be.", + "prompt": "<<>>. Extract all legal entities and their types from this text. The possible entity types are: CASE_NUMBER, COURT, DATE, GPE, JUDGE, ORG, OTHER_PERSON, PETITIONER, PRECEDENT, PROVISION, RESPONDENT, STATUTE, WITNESS. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Legal-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Legal-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..de1f92066494a35263102d3b75b93152b4ca3e23 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Legal-Question-Answering/annotation.json @@ -0,0 +1,466 @@ +{ + "task": "Legal Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "lqa175", + "input": { + "question": "Wang urgently needs 200,000 RMB to expand his farming business. He approaches a local cooperative bank and is told by the bank manager, Li, that each ID can be used to secure a loan of up to 50,000 RMB. Wang takes out a 50,000 RMB loan in his name and borrows four other IDs to obtain an additional 200,000 RMB. Due to poor management, Wang is unable to repay the loan principal and interest. Which of the following statements is correct in this case?", + "options": [ + "Wang commits loan fraud, but Li does not commit any crime.", + "Wang commits fraud to obtain a loan, but Li does not commit any crime.", + "Wang commits fraud to obtain a loan, and Li commits the crime of illegally issuing loans.", + "Wang does not commit fraud to obtain a loan, but Li commits the crime of illegally issuing loans." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa096", + "input": { + "question": "Zhang Wei has three sons: Zhang Jie, Zhang Tong, and Zhang Tian. The youngest son, Zhang Tian, has been spoiled since childhood and grew up addicted to gambling. Whenever he loses money, he goes home to ask Zhang Wei for more. One day, Zhang Tian returns home and tries to take the house property deed to sell it to pay off gambling debts. Zhang Wei tries to stop him, and in a fit of rage, Zhang Tian fatally stabs Zhang Wei. Zhang Tong, the second son, happens to witness the death of his father and kills Zhang Tian in anger, receiving a sentence of 10 years. During the funeral preparations, Zhang Jie finds his father\u2019s will, which states that his inheritance should be equally divided between the three sons. Zhang Jie secretly modifies the will, adding 10,000 RMB to his share. Which of the following statements is incorrect?", + "options": [ + "Zhang Jie still has inheritance rights", + "Zhang Tong also has inheritance rights", + "Zhang Tian, who intentionally killed Zhang Wei, loses his inheritance rights", + "Zhang Jie, Zhang Tong, and Zhang Tian should equally inherit Zhang Wei\u2019s estate" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa160", + "input": { + "question": "A district people's court made a criminal and civil judgment on Mr. Zhang's assault of Mr. Li. After the first trial judgment, only the defendant Mr. Zhang appealed the criminal part. The appellate court finds that there is an error in the criminal and civil parts of the first trial judgment. Which of the following statements is correct?", + "options": [ + "The appellate court should process both the criminal and civil parts of the case in accordance with the second trial procedure.", + "The appellate court should first review the civil part in the second trial and then review the criminal part using the trial supervision procedure.", + "The appellate court should review the civil part using the trial supervision procedure for retrial.", + "The appellate court should revoke the original judgment and send the case back for retrial." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa391", + "input": { + "question": "XiaoXiang Furniture Factory plans to expand its production scale and intends to apply for a loan of 2 million yuan from a bank to purchase new machinery. The bank requires collateral, and since XiaoXiang holds a well-known registered trademark, both parties agree to use the trademark\u2019s property rights as collateral for the loan. A written pledge contract is signed, but no registration is made. Three months later, a competing company, Yongli Furniture, approaches XiaoXiang, requesting to use the trademark and agrees to pay the corresponding usage fee. After reviewing the qualifications of Yongli, XiaoXiang enters into a trademark license agreement. Upon learning of this, the bank believes that XiaoXiang\u2019s licensing behavior has violated its pledge rights, leading to a dispute. Which of the following statements is correct?", + "options": [ + "The pledge contract is invalid, and the license agreement is valid.", + "The pledge contract is valid, and the license agreement is invalid.", + "The pledge contract is invalid, and the license agreement is invalid.", + "The pledge contract is valid, and the license agreement is valid." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa324", + "input": { + "question": "Which of the following situations will produce the effect of offset when Mr. Li notifies Mr. Wang of the offset?", + "options": [ + "Mr. Wang owes Mr. Li 300,000 yuan, and the debt is past the statute of limitations. Three months later, Mr. Zhang owes Mr. Wang 300,000 yuan, and Mr. Zhang dies. Mr. Li inherits Mr. Zhang's 300,000 yuan debt. Mr. Li notifies Mr. Wang to offset the debt.", + "Mr. Wang owes Mr. Li 300,000 yuan for goods, and Mr. Li owes Mr. Wang 300,000 yuan for a loan. Both debts were due on April 1, 2012. Mr. Li never asserted his right to the loan until April 1, 2016, when he realized the loan was still unpaid. Mr. Li notifies Mr. Wang to offset 300,000 yuan.", + "Mr. Wang owes Mr. Li 300,000 yuan, and after a dispute, Mr. Li intentionally injures Mr. Wang. The court orders Mr. Li to pay 150,000 yuan in damages. After the judgment becomes final, Mr. Li notifies Mr. Wang to offset 150,000 yuan.", + "Mr. Wang's obligation to deliver 300,000 yuan worth of rice to Mr. Li is overdue. Mr. Li is required to deliver 300,000 yuan worth of soybeans, but his soybeans run out. Mr. Li notifies Mr. Wang to offset the debts." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa138", + "input": { + "question": "In a civil case, Mr. Li is the plaintiff, Mr. Wang is the defendant, and Mr. Zhang is a third party with an independent claim. During the trial, Mr. Li applies for withdrawal of the lawsuit, and the court allows the plaintiff to withdraw. What should be the legal consequence of this situation?", + "options": [ + "Mr. Zhang will be treated as a new plaintiff, with Mr. Li and Mr. Wang as new defendants, and a new lawsuit will proceed.", + "Mr. Zhang will be replaced as the plaintiff, with Mr. Wang as a new defendant, and the lawsuit will continue.", + "The lawsuit will be terminated.", + "Mr. Zhang will be treated as a new plaintiff, with Mr. Li and Mr. Wang as new defendants, and the lawsuit will continue." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa495", + "input": { + "question": "During a legal investigation in Xinjiang, a defendant, Mr. Wang, who is a native of Shandong, was questioned by the local police in Urumqi. Although Mr. Wang speaks Mandarin fluently, he also understands some Uyghur. Which language should the authorities use during Mr. Wang's questioning?", + "options": [ + "Mandarin Chinese", + "Shandong dialect", + "Uyghur", + "Both Mandarin Chinese and Uyghur" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa142", + "input": { + "question": "Airline A in China intends to purchase two Boeing 757 aircraft from Boeing Corporation in the United States. The two aircraft are already registered in the United States. According to Chinese law, when does the ownership of the aircraft transfer from Boeing to Airline A?", + "options": [ + "The law chosen by the parties should first apply.", + "If the parties do not choose, the law of the country most closely connected to the contract should apply.", + "U.S. law should apply.", + "Chinese law should apply." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa336", + "input": { + "question": "Mr. Li and Mr. Zhao, both born in 1995, are high school classmates. On a heated argument about who is older, Mr. Li and Mr. Zhao, along with their friend Mr. Chen, got into a physical altercation. During the incident, Mr. Zhao pushed Mr. Chen, causing him minor injuries. Mr. Li also borrowed $2,000 from Mr. Wu but has not repaid it. Meanwhile, Mr. Zhao's parents have refused to pay for the medical expenses incurred by Mr. Chen. How should the medical expenses be covered for Mr. Chen?", + "options": [ + "Mr. Zhao will pay the medical expenses when he has the money.", + "Mr. Zhao's parents will pay for the medical expenses.", + "Both Mr. Zhao and his parents are jointly liable for the medical expenses.", + "Mr. Zhao's parents should pay the medical expenses first, and then Mr. Zhao can reimburse them." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa137", + "input": { + "question": "Mr. Wang holds a debt of 100,000 yuan owed by Mr. Zhang. Just before the debt\u2019s due date, Mr. Zhang adopted an orphan, later refused to inherit 50,000 yuan from his late father\u2019s estate, and sold a valuable antique vase (worth 50,000 yuan) to Mr. Li for just 10,000 yuan. Mr. Zhang used the 10,000 yuan from the sale to buy a leather sofa as a gift for his sister\u2019s housewarming party. Which of the following statements is correct regarding Mr. Wang\u2019s legal options?", + "options": [ + "Mr. Wang can file a lawsuit to request the court to exercise the creditor\u2019s right of revocation regarding Mr. Zhang\u2019s refusal to inherit the inheritance from his father.", + "Mr. Wang can file a lawsuit to request the court to exercise the creditor\u2019s right of revocation regarding Mr. Zhang\u2019s adoption of the orphan.", + "Mr. Wang can file a lawsuit to request the court to exercise the creditor\u2019s right of revocation regarding Mr. Zhang\u2019s sale of the antique vase at an obviously unreasonable price.", + "Mr. Wang can file a lawsuit to request the court to exercise the creditor\u2019s right of revocation regarding Mr. Zhang\u2019s gift of the leather sofa to his sister." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa304", + "input": { + "question": "Teenager Wang, aged 16, was caught after abducting someone and intentionally causing the victim's death. What charge can Wang be held accountable for?", + "options": [ + "Committing the crime of kidnapping", + "Committing the crime of murder", + "Punished for both kidnapping and murder", + "Not criminally liable" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa001", + "input": { + "question": "Three people, A, B, and C, established a general partnership. Due to some reasons, C withdrew from the partnership in January 2008. In December of the same year, D joined the partnership. In May 2009, A, B, and D decided to dissolve the partnership. How should the debts of the partnership be handled?", + "options": [ + "A, B, and C are jointly and severally liable for the partnership debts before January 2008, and A, B, and D are jointly and severally liable for the partnership debts after December 2008.", + "A, B, C, and D are jointly and severally liable for the entire period of the partnership\u2019s debts.", + "A, B, and D are jointly and severally liable for the partnership debts during the entire partnership period, and if a business transaction before C\u2019s withdrawal leads to debt, C is still liable.", + "A, B, and D are jointly and severally liable for the partnership debts during the entire period, but if a debt arises from a 2007 contract after C\u2019s withdrawal, C is not liable." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa045", + "input": { + "question": "In a traffic accident case, Li claims that he was hit by another vehicle while passing through an intersection, causing injuries and medical expenses. Wang, a witness, was present at the scene. Li seeks compensation from the driver, Zhao, but Zhao denies causing the accident. Who should bear the burden of proof for the disputed fact?", + "options": [ + "Li bears the burden of proof", + "Both Li and Zhao bear the burden of proof", + "Zhao bears the burden of proof", + "Wang, as a witness, bears the burden of proof" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa411", + "input": { + "question": "Wang, a local business owner, filed an administrative reconsideration application against a fine imposed by the local tax authorities. However, before the reconsideration decision was made, Wang decided to withdraw his application. What is the correct procedure for withdrawing his reconsideration request?", + "options": [ + "The reconsideration process can be temporarily suspended", + "The decision to withdraw the application rests with the administrative reconsideration authority", + "Wang can withdraw the application, resulting in the termination of the reconsideration process", + "Wang can withdraw the application after providing a valid reason" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa152", + "input": { + "question": "In a classroom discussion about the deprivation or restriction of political rights, Mr. Wang states: 'If one is deprived of political rights, they can no longer hold positions in state-owned companies.' Ms. Zhang says: 'Serious criminals, such as those convicted of murder, rape, arson, explosion, poisoning, and robbery, should automatically lose their political rights.' Mr. Liu comments: 'The period of deprivation of political rights starts after the sentence of imprisonment or detention is completed or from the date of parole release.' Which statement is correct?", + "options": [ + "Mr. Wang\u2019s statement is correct.", + "Ms. Zhang\u2019s statement is correct.", + "Mr. Liu\u2019s statement is correct.", + "None of the statements made by Mr. Wang, Ms. Zhang, or Mr. Liu is correct." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa003", + "input": { + "question": "Company A\u2019s business manager, B, frequently dines at Restaurant C to entertain clients, with the meal expenses paid by the company on a monthly basis. After B resigns, Restaurant C seeks payment for the meals B ordered. Company A refuses to pay, claiming that B was entertaining private friends and not company clients. Which of the following statements is correct?", + "options": [ + "Company A must pay.", + "Company A must pay, and B is jointly liable.", + "Company A has the right to refuse payment.", + "Company A must bear supplementary liability." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa274", + "input": { + "question": "Mr. Zhang passed away, leaving behind an estate worth 1 million yuan. Mr. Zhang had a will, which specified that 500,000 yuan worth of real estate would go to his daughter and 100,000 yuan worth of a car to his nephew. The remaining 400,000 yuan in savings would be divided equally between his wife, Mrs. Li, and his daughter according to the law. After the estate was settled, Mr. Wang informed Mrs. Li and others that Mr. Zhang had borrowed 700,000 yuan from him, which had not been repaid. Upon investigation, it was confirmed that this debt was Mr. Zhang's personal liability. How much should the daughter pay Mr. Wang?", + "options": [ + "140,000 yuan", + "280,000 yuan", + "350,000 yuan", + "400,000 yuan" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa223", + "input": { + "question": "Mr. Wang's company is a state-owned enterprise, but not a key state-owned company directly under the State Council. Under the relevant authorization from the state asset management department, which of the following decisions can be made by the company's board of directors without the need for further approval?", + "options": [ + "(1) Amend the company\u2019s bylaws, (2) Apply for bankruptcy, (3) Increase registered capital", + "(1) Amend the company\u2019s bylaws, (4) Issue company bonds, (5) Change the company\u2019s legal structure", + "(2) Apply for bankruptcy, (6) Merge with another company, (7) Dissolve the company", + "(1) Amend the company\u2019s bylaws, (2) Apply for bankruptcy, (5) Change the company\u2019s legal structure" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa458", + "input": { + "question": "Li Ming is a senior diplomat at the embassy of Country A in China. In 2015, Li Ming entered into an agreement with Zhang Wei, a Chinese national, to assist Zhang in acquiring high-end technology gadgets from overseas. However, due to issues in fulfilling the contract, Zhang Wei filed a lawsuit for breach of contract in a Chinese court. Based on the principles of international public and private law, which of the following statements is correct?", + "options": [ + "The Chinese court has no jurisdiction over the case because Li Ming is a diplomat and enjoys absolute immunity from judicial jurisdiction.", + "The Chinese court has jurisdiction over the case and should immediately accept Zhang Wei's lawsuit.", + "The Chinese court has jurisdiction over the case, but the court must first seek approval from the local higher people's court before accepting the case.", + "The Chinese court has jurisdiction over the case, but it must seek approval from the local higher people's court, and after approval, the case should be forwarded to the Supreme People's Court for review before any action is taken." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa331", + "input": { + "question": "Mr. Li works as a financial officer at a private company, while Mr. Wang is a government employee and also works in the company's finance department. Both Mr. Li and Mr. Wang secretly collude to misappropriate the company\u2019s funds, stealing a total of 1 million yuan. What is the correct legal classification for their actions?", + "options": [ + "Mr. Li should be charged with embezzlement, and Mr. Wang should also be charged with embezzlement as an accomplice", + "Mr. Wang should be charged with corruption, and Mr. Li should be charged with embezzlement as an accomplice", + "Mr. Li should be charged with embezzlement, and Mr. Wang should be charged with corruption, with no joint crime involvement", + "Mr. Li should be charged with embezzlement, and Mr. Wang should be charged with corruption as an accomplice" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa139", + "input": { + "question": "Mr. Li, Mr. Zhang, and Mr. Wang intend to establish a limited liability company to engage in the business of selling lunar land ownership. They each contribute 10,000 yuan, 20,000 yuan, and 30,000 yuan, respectively. During the establishment process, they incur a debt of 100,000 yuan due to office rent and outsourcing the company registration. However, the company fails to register due to non-compliance with legal requirements. How should they bear the debt?", + "options": [ + "They should bear the responsibility limited to their respective capital contributions.", + "They should bear the responsibility according to their contribution ratio.", + "They should bear joint and several liability for the debt.", + "They should share the debt equally." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa340", + "input": { + "question": "Which of the following scenarios represents an error in how the court handles a case of retrial?", + "options": [ + "In a case where Mr. Wang sued Mr. Li for the repayment of a loan, Mr. Wang failed to pay the case filing fee as required. The court considered this as withdrawal of the case, and Mr. Wang later filed the case again, which the court accepted.", + "Ms. Zhang, married to Mr. Li, has not seen him for over five years. She files for divorce but the court refuses to accept her case, advising her to first apply for a declaration of Mr. Li's death.", + "Mr. Liu sued his son, Mr. Liu Jr., for unpaid alimony. After the court ruled that Mr. Liu Jr. should pay 500 RMB monthly, Mr. Liu later requested an increase in alimony due to medical expenses. The court accepted the new case.", + "Ms. Zhao filed for divorce with Mr. Wang. After successful reconciliation, Mr. Wang later filed again for divorce without any new developments, and the court accepted the case." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa282", + "input": { + "question": "In a theft case, defendant Wang is accused of stealing a large sum of money. The public prosecutor has sufficient evidence and Wang admits to the crime, agreeing with the charges and the application of simplified procedures. The court decides to proceed with the simplified procedure. During the trial, the court discovers that Wang's actions constitute embezzlement rather than theft. How should the court proceed in this case?", + "options": [ + "Directly convict Wang for embezzlement.", + "Change to a regular trial procedure and continue the case.", + "Rule to suspend the trial.", + "Rule to terminate the trial." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa249", + "input": { + "question": "Wang, a former manager of a state-owned company, has been arrested by the prosecutor on suspicion of embezzlement. His wife hires Li, a lawyer, to represent him. During the first meeting, Wang asks Li to approach his former colleague Zhang, the head of the company's finance department, and have Zhang issue a false receipt stating that the money Wang took was just a loan. How should Li, the lawyer, respond?", + "options": [ + "Agree to Wang's request but clarify to Wang that he is merely acting as a messenger, and that Zhang\u2019s decision is not Li's responsibility.", + "Refuse Wang's request and, if Wang insists, withdraw from representing him.", + "Pretend to agree, but later ignore the request.", + "Pretend to agree and report the matter to the prosecutor afterward." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa417", + "input": { + "question": "Wang, a 32-year-old factory worker, was sentenced to 8 years for embezzling funds from his company. Due to his poor health, the court decided to suspend his sentence and allow him to serve it outside of prison. After receiving the order, Wang ignored repeated notices to report to the local police station and instead moved to another city to work. While there, Wang committed another crime of embezzlement and was arrested by the local police. When determining the punishment for both crimes, from when should the unserved portion of Wang's initial sentence begin to be executed?", + "options": [ + "From the time Wang was arrested for the second crime.", + "From the time Wang left his home and failed to report.", + "From the time Wang was granted a suspended sentence.", + "From the time the original sentence was legally finalized." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa179", + "input": { + "question": "Li and Wang have been married for many years but have not had children. One day, Wang finds out that Li is pregnant. However, Li is in the midst of a critical career promotion and fears that the pregnancy will affect her professional advancement. Without informing Wang, Li secretly undergoes an abortion. When Wang finds out, he is furious and files for divorce. Which of Wang's following requests is most likely to be supported by the court?", + "options": [ + "Wang requests divorce on the grounds that the marriage has irreparably broken down.", + "Wang requests compensation for damage to his reproductive rights, as Li's abortion has harmed his ability to have children.", + "Wang, although not infertile, requests compensation for damage to his reproductive rights based on Li's abortion.", + "Wang requests divorce compensation based on Article 46 of the Marriage Law." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa489", + "input": { + "question": "Person A got into a conflict with their neighbor, Person B, resulting in light injuries to Person B. Person A was criminally detained, and during their detention, Person A's father reached a settlement with Person B. The police then decided to grant Person A bail. Which of the following is a correct obligation that Person A must comply with during the bail period?", + "options": [ + "Surrender their driver's license to the authorities", + "Not contact Person B", + "Report any job changes to the authorities within 24 hours", + "Enter specific entertainment venues only with police approval" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa485", + "input": { + "question": "A company has been operating for 1 year, and the market competition has intensified, resulting in significant changes in the business environment. The company's shareholders hold a meeting to discuss countermeasures. According to the Company Law, which of the following votes constitutes a valid vote?", + "options": [ + "Li Qiang believes the company name 'Huaxin' lacks appeal and proposes changing it to 'New Century.' Wang Hai and Zhang Li agree, but Zhao Min disagrees.", + "Due to poor business performance, Wang Hai proposes suspending operations for one month for restructuring. Li Qiang and Zhang Li agree, but Zhao Min disagrees.", + "Given the company's urgent need for funds, Zhao Min proposes selling a batch of company computers to another company. Li Qiang and Wang Hai agree, but Zhang Li disagrees.", + "Due to a lack of management experience, Zhang Li proposes hiring her friend Li Hua as the company CEO. Li Qiang and Wang Hai agree, but Zhao Min disagrees." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa350", + "input": { + "question": "Li, a traveler, lost a valuable camera during his trip. Another traveler, Zhang, found the camera and sold it to Wang, who later gave it to his girlfriend as a gift. Li was aware of these facts two years ago and had previously asked Zhang for compensation, but was unsuccessful. Which of the following statements is incorrect?", + "options": [ + "If Zhang had not sold the camera to Wang and had kept it, Li would still have the right to request Zhang return the camera.", + "Li now has the right to request the return of the camera from Wang or his girlfriend.", + "Li can still ask Zhang for compensation for the loss of the camera.", + "Wang\u2019s girlfriend has acquired the ownership of the camera." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "lqa063", + "input": { + "question": "Company A and Company B have a dispute regarding a contract. The second instance court ruled that Company B should pay Company A 200,000 RMB within one month from the effective date of the judgment. During the enforcement process, the two companies reach a settlement where Company B agrees to pay 150,000 RMB to Company A within one month of the settlement. Which of the following statements is correct?", + "options": [ + "If Company B pays 150,000 RMB within one month, Company A cannot resume the original judgment enforcement.", + "If Company B pays 100,000 RMB within one month, Company A can apply for the compulsory enforcement of the remaining 50,000 RMB.", + "If Company B pays 100,000 RMB within one month, Company A can sue Company B for breach of contract.", + "If Company B pays 100,000 RMB within one month, Company A can apply to resume the original judgment enforcement, but only within the last day of the original deadline, with no extension." + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Location-Recognition/annotation.json b/Scope-A/S-A-Quick/nlp/Location-Recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..dd8facbc2ade0a3a9eea47ecdcd1e9a446ae8f43 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Location-Recognition/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "location_recognition", + "data_source": "conll2003", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0066", + "input": { + "raw_text": "Wijaya ( Indonesia ) ; Sun Jun ( China ) v Allan Budi Kusuma", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0122", + "input": { + "raw_text": "ROME 1996-12-06", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0437", + "input": { + "raw_text": "In a gloomy Geneva conference centre built before the dawn of the Internet , groups of staid officials made a first stab on Friday at rewriting copyright laws for the digital age .", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0067", + "input": { + "raw_text": "Bootleg brew kills 35 in China , police nab suspects .", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0254", + "input": { + "raw_text": "\" Since Mauritania has been eliminated on all fronts and the next commitments are not for another two years , we have reason to take a break , \" federation president Mohamed Lemine Cheiguer said .", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0285", + "input": { + "raw_text": "COLOMBO 1996-08-30", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0237", + "input": { + "raw_text": "9. Tatian Stiajkina ( Ukraine ) 3:52.204", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0072", + "input": { + "raw_text": "CRICKET - AUSTRALIA WIN TOSS AND CHOOSE TO BAT .", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0435", + "input": { + "raw_text": "There were 162 rigs under contract in the U.S. Gulf as of August 30 , down one from the prior week , Offshore Data Services said .", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0238", + "input": { + "raw_text": "LONDON 1996-12-07", + "prompt": "<<>>. Extract all location names from this text. Format each location as 'location => LOC' and separate multiple locations with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Low-Resource-Translation/annotation.json b/Scope-A/S-A-Quick/nlp/Low-Resource-Translation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6542d6098756db2f2651f1c34507652161101e35 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Low-Resource-Translation/annotation.json @@ -0,0 +1,156 @@ +{ + "task": "Low-Resource Translation", + "type": "Translation", + "version": "1.0", + "data": [ + { + "id": "lrt469", + "in": "Croatian", + "out": "English", + "input": "Apia je osnovana tijekom 1850-ih godina, a slu\u017ebeno je postala glavni grad Samoe 1959. godine.", + "output": "" + }, + { + "id": "lrt195", + "in": "Danish", + "out": "English", + "input": "P\u00e5 sin rejse l\u00f8b Iwasaki ved mange lejligheder ind i problemer.", + "output": "" + }, + { + "id": "lrt106", + "in": "Catalan", + "out": "English", + "input": "Comparteix les reserves d'altres especialistes sobre la possibilitat de curar la diabetis, i subratlla que aquests resultats no s\u00f3n aplicables a persones que ja pateixen diabetis de tipus 1.", + "output": "" + }, + { + "id": "lrt164", + "in": "Danish", + "out": "English", + "input": "Mens en fors\u00f8gsvaccination ser ud til at kunne s\u00e6nke ebola-d\u00f8deligheden, er der endnu ikke blevet fundet l\u00e6gemidler, der beviseligt kan anvendes til behandling af eksisterende infektioner.", + "output": "" + }, + { + "id": "lrt433", + "in": "Croatian", + "out": "English", + "input": "Britanski kolonizatori su preuzeli ovo podru\u010dje, pa je ovo pravo mjesto za po\u010detak ako tra\u017eite tragove kolonijalne pro\u0161losti teritorija.", + "output": "" + }, + { + "id": "lrt478", + "in": "Croatian", + "out": "English", + "input": "Najpoznatije lokalno pivo je 'Number One'. Nije previ\u0161e kompleksno, ali je ugodno i osvje\u017eavaju\u0107e. Drugi popularni brend je 'Manta'.", + "output": "" + }, + { + "id": "lrt052", + "in": "Belarusian", + "out": "English", + "input": "\u041f\u0430\u0432\u043e\u0434\u043b\u0435 \u0441\u043b\u043e\u045e \u0441\u0442\u0430\u0440\u0448\u044b\u043d\u0456 \u043a\u043b\u0456\u043d\u0456\u0447\u043d\u0430\u0433\u0430 \u0456 \u043d\u0430\u0432\u0443\u043a\u043e\u0432\u0430\u0433\u0430 \u0430\u0434\u0434\u0437\u044f\u043b\u0435\u043d\u043d\u044f \u041a\u0430\u043d\u0430\u0434\u0441\u043a\u0430\u0439 \u0430\u0441\u0430\u0446\u044b\u044f\u0446\u044b\u0456 \u0445\u0432\u043e\u0440\u044b\u0445 \u043d\u0430 \u0434\u044b\u044f\u0431\u0435\u0442 \u0456 \u043f\u0440\u0430\u0444\u0435\u0441\u0430\u0440\u0430 \u043c\u0435\u0434\u044b\u0446\u044b\u043d\u044b \u0437 \u0423\u043d\u0456\u0432\u0435\u0440\u0441\u0456\u0442\u044d\u0442\u0430 \u0414\u044d\u043b\u0445\u0430\u045e\u0437\u0456 \u045e \u0413\u0430\u043b\u0456\u0444\u0430\u043a\u0441\u0435 (\u041d\u043e\u0432\u0430\u044f \u0428\u0430\u0442\u043b\u0430\u043d\u0434\u044b\u044f) \u0434\u043e\u043a\u0442\u0430\u0440\u0430 \u042d\u0445\u0443\u0434\u0430 \u0423\u0440\u0430, \u0434\u0430\u0441\u043b\u0435\u0434\u0430\u0432\u0430\u043d\u043d\u0435 \u045e\u0441\u0451 \u044f\u0448\u0447\u044d \u043d\u0430 \u043f\u0430\u0447\u0430\u0442\u043a\u043e\u0432\u044b\u043c \u044d\u0442\u0430\u043f\u0435.", + "output": "" + }, + { + "id": "lrt108", + "in": "Catalan", + "out": "English", + "input": "Danius va comentar: 'Ara mateix no estem fent cap acci\u00f3. He trucat i enviat correus electr\u00f2nics al seu col\u00b7laborador m\u00e9s proper, i he obtingut respostes molt cordials. Per ara, aix\u00f2 \u00e9s tot el que podem fer.'", + "output": "" + }, + { + "id": "lrt189", + "in": "Danish", + "out": "English", + "input": "En bilbombe detonerede ved politiets hovedkvarter i Gaziantep, Tyrkiet, i g\u00e5r morges og dr\u00e6bte to politibetjente og s\u00e5rede mere end tyve andre personer.", + "output": "" + }, + { + "id": "lrt026", + "in": "Afrikaans", + "out": "English", + "input": "Ovechkin se eerste assist was op die spel-wennende doel deur die nuweling Nicklas Backstrom.", + "output": "" + }, + { + "id": "lrt383", + "in": "Irish", + "out": "English", + "input": "Is \u00e9 an t\u00e9arma a \u00fas\u00e1idtear go foirmi\u00fail ag feithideolaithe chun tagairt a dh\u00e9anamh don ghr\u00fapa feithid\u00ed seo.", + "output": "" + }, + { + "id": "lrt068", + "in": "Belarusian", + "out": "English", + "input": "\u041a\u0430\u043c\u0456\u0442\u044d\u0442 \u043f\u0430 \u0433\u0456\u043c\u043d\u0430\u0441\u0442\u044b\u0446\u044b \u0456 \u0410\u043b\u0456\u043c\u043f\u0456\u0439\u0441\u043a\u0456 \u043a\u0430\u043c\u0456\u0442\u044d\u0442 \u0417\u0428\u0410 \u043c\u0430\u044e\u0446\u044c \u0430\u0433\u0443\u043b\u044c\u043d\u0443\u044e \u043c\u044d\u0442\u0443 \u2014 \u0437\u0440\u0430\u0431\u0456\u0446\u044c \u0433\u0456\u043c\u043d\u0430\u0441\u0442\u044b\u043a\u0443 \u0456 \u0456\u043d\u0448\u044b\u044f \u0432\u0456\u0434\u044b \u0441\u043f\u043e\u0440\u0442\u0443 \u044f\u043a \u043c\u0430\u0433\u0430 \u0431\u043e\u043b\u044c\u0448 \u0431\u044f\u0441\u043f\u0435\u0447\u043d\u044b\u043c\u0456 \u0434\u043b\u044f \u0430\u0442\u043b\u0435\u0442\u0430\u045e, \u043a\u0430\u0431 \u044f\u043d\u044b \u043c\u0430\u0433\u043b\u0456 \u0440\u044d\u0430\u043b\u0456\u0437\u043e\u045e\u0432\u0430\u0446\u044c \u0441\u0432\u0430\u0435 \u043c\u0430\u0440\u044b \u045e \u0431\u044f\u0441\u043f\u0435\u0447\u043d\u044b\u043c \u0456 \u043f\u0430\u0437\u0456\u0442\u044b\u045e\u043d\u044b\u043c \u0430\u0441\u044f\u0440\u043e\u0434\u0434\u0437\u0456 \u0437 \u0432\u044f\u043b\u0456\u043a\u0430\u0439 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043c\u0430\u0433\u0447\u044b\u043c\u0430\u0441\u0446\u0435\u0439.", + "output": "" + }, + { + "id": "lrt178", + "in": "Danish", + "out": "English", + "input": "Lionsgate Studio modtog 26 nomineringer, mere end noget andet studie.", + "output": "" + }, + { + "id": "lrt247", + "in": "Greek", + "out": "English", + "input": "\u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03c4\u03bf\u03c5 \u0399\u03c1\u03ac\u03ba \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b5 \u03c4\u03b7\u03bd \u03ad\u03ba\u03b8\u03b5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03ae\u03bc\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b9\u03c2 12.00 \u03ce\u03c1\u03b1 \u0393\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03b9\u03c4\u03c2 (GMT).", + "output": "" + }, + { + "id": "lrt347", + "in": "Irish", + "out": "English", + "input": "Is \u00e9 an r\u00f3l at\u00e1 ag cabhlach go traidisi\u00fanta n\u00e1 a chinnti\u00fa go bhfuil s\u00e9 ind\u00e9anta do do th\u00edr daoine agus earra\u00ed a iompar i gc\u00f3na\u00ed, agus ag an am c\u00e9anna, cur isteach ar chumas do namhaid a muintir agus a gcuid earra\u00ed a bhogadh.", + "output": "" + }, + { + "id": "lrt323", + "in": "Irish", + "out": "English", + "input": "Tugtar faoi sh\u00f3cha\u00ed saothraithe de sh\u00f3rt \u00e9ags\u00falachta gh\u00e9initeach nua, agus le roghn\u00fa, baintear an \u00e9ags\u00falacht sin as linn na n-athruithe at\u00e1 le feice\u00e1il.", + "output": "" + }, + { + "id": "lrt474", + "in": "Croatian", + "out": "English", + "input": "Sjeverna obala, u \u010detvrti North Harbour, smje\u0161tena je uz obalu Tihog oceana i prote\u017ee se od Long Baya na sjeveru do Devonporta na jugu.", + "output": "" + }, + { + "id": "lrt475", + "in": "Croatian", + "out": "English", + "input": "Ve\u0107ina pla\u017ea je pje\u0161\u010dana, sigurne su za kupanje, a brojne nude hladovinu koju pru\u017eaju stabla Pohutukawa.", + "output": "" + }, + { + "id": "lrt419", + "in": "Croatian", + "out": "English", + "input": "\"Zbog svoje relativne izoliranosti, 'Timbuktu' danas koristimo kao metaforu za egzoti\u010dna i udaljena mjesta.\"", + "output": "" + }, + { + "id": "lrt085", + "in": "Belarusian", + "out": "English", + "input": "\u041d\u0430\u0432\u0443\u043a\u043e\u045e\u0446\u044b \u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043b\u0456, \u0448\u0442\u043e, \u043d\u044f\u0433\u043b\u0435\u0434\u0437\u044f\u0447\u044b \u043d\u0430 \u0442\u043e\u0435, \u0448\u0442\u043e \u0433\u044d\u0442\u0430 \u0431\u044b\u045e \u0445\u0432\u043e\u0441\u0442 \u043c\u0430\u043b\u0430\u0434\u043e\u0433\u0430 \u0434\u044b\u043d\u0430\u0437\u0430\u045e\u0440\u0430, \u0443\u0437\u043e\u0440 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u043d\u0435 \u043f\u0442\u0443\u0448\u044b\u043d\u044b \u043f\u0443\u0445, \u0430 \u0434\u0430\u0440\u043e\u0441\u043b\u0430\u0435 \u0430\u043f\u044f\u0440\u044d\u043d\u043d\u0435.", + "output": "" + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Math-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Math-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..71fa2fbe02e3881e8f1c56b0834d7880735d679d --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Math-Question-Answering/annotation.json @@ -0,0 +1,496 @@ +{ + "task": "Math Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "mqa161", + "input": { + "question": "1370, 1320, x, -180, -6430", + "options": [ + "1070", + "6530", + "6630", + "6730", + "6830" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa216", + "input": { + "question": "Village A's population is 300 greater than Village B's population. If Village B's population were reduced by 600 people, then Village A's population would be 4 times as large as Village B's population. What is Village B's current population?", + "options": [ + "900", + "1000", + "1100", + "1200", + "1300" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa124", + "input": { + "question": "What is the greatest possible length which can be used to measure exactly the lengths 10 m 50 cm, 14 m 55 cm, and 50 cm?", + "options": [ + "20 cm", + "24 cm", + "30 cm", + "10 cm", + "5 cm" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa437", + "input": { + "question": "A factory produces two types of headphones: Standard and Premium. Last month, 4/5 of the headphones produced were Standard, and the rest were Premium. If it takes 9/7 times as long to produce a Premium headphone as it does to produce a Standard headphone, what fraction of the total time spent on production was used for Premium headphones?", + "options": [ + "7/23", + "8/23", + "9/23", + "6/23", + "10/23" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa185", + "input": { + "question": "How many internal diagonals does a pentagon (five-sided polygon) have?", + "options": [ + "5", + "8", + "9", + "10", + "12" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa384", + "input": { + "question": "The average of 5 consecutive odd numbers X, Y, Z, W, and V is 25. What percentage of V is W?", + "options": [ + "90%", + "92%", + "95%", + "98%", + "100%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa122", + "input": { + "question": "Find the missing figure: ?% of 25 = 2.125", + "options": [ + "4.5", + "6.5", + "2.5", + "7.5", + "8.5" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa024", + "input": { + "question": "A merchant buys apples at \u20b930 each and sells them at \u20b945 each, making a profit of 50%. She sells oranges at \u20b920 each and makes a 25% profit. If she earns \u20b9900 after selling all her apples and oranges, what is her total profit percentage?", + "options": [ + "18%", + "25%", + "12%", + "20%", + "15%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa234", + "input": { + "question": "A merchant sells an item at a 20% discount, but still makes a gross profit of 20 percent of the cost. What percent of the cost would the gross profit on the item have been if it had been sold without the discount?", + "options": [ + "20%", + "40%", + "50%", + "60%", + "75%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa112", + "input": { + "question": "Concentrated apple juice comes inside a cylinder tube with a radius of 2.5 inches and a height of 15 inches. The tubes are packed into wooden boxes, each with dimensions of 11 inches by 10 inches by 31 inches. How many tubes of concentrated apple juice, at the most, can fit into 3 wooden boxes?", + "options": [ + "24", + "28", + "36", + "42", + "48" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa464", + "input": { + "question": "In a school of 60 students, 25 students participate in chess, 18 play basketball, and 12 enjoy swimming. 8 students play both chess and basketball, 6 play basketball and swimming, and 7 students play both chess and swimming. If 10 students do not participate in any of these activities, how many students play exactly two of these sports?", + "options": [ + "12", + "16", + "18", + "20", + "24" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa225", + "input": { + "question": "If a fast song has 160 beats per minute, and a slow song has 90 beats per minute, how many minutes total would you play a fast and a slow song to have a stream of music that had a total of 1020 beats?", + "options": [ + "6", + "7", + "8", + "9", + "10" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa192", + "input": { + "question": "Find the value of (950 + 220 / 900) \u00d7 900", + "options": [ + "854542", + "856945", + "758965", + "855220", + "826450" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa494", + "input": { + "question": "How many terminating zeros does 150! have?", + "options": [ + "32", + "40", + "45", + "50", + "60" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa040", + "input": { + "question": "A, B, and C play a football match. The ratio of the goals scored by them is A:B=3:4 and B:C=3:5. If the total goals scored by all of them are 72, how many goals did B score?", + "options": [ + "24", + "28", + "30", + "32", + "34" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa062", + "input": { + "question": "A company sold 250 units of product A and 150 units of product B last month. This month, it sold 20% more units of product A and 10% more units of product B. How many total units did the company sell this month?", + "options": [ + "450", + "475", + "500", + "525", + "550" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa001", + "input": { + "question": "A city has 500 buildings. A painter is hired to number the buildings from 1 to 500. How many times will he use the digit '1' in the house numbers?", + "options": [ + "100", + "110", + "120", + "130", + "140" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa454", + "input": { + "question": "What is the ratio of the curved surfaces of two cylinders with equal heights if their radii are in the ratio 1:2?", + "options": [ + "1:2", + "2:3", + "2:9", + "2:1", + "2:2" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa179", + "input": { + "question": "A sum of money is to be distributed among A, B, C, D in the proportion of 5:2:4:3. If C gets \u20ac1000 more than D, what is B's share?", + "options": [ + "\u20ac1000", + "\u20ac3000", + "\u20ac5000", + "\u20ac4000", + "\u20ac2000" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa110", + "input": { + "question": "If f(f(n)) + f(n) = 2n + 3 and f(0) = 1, what is the value of f(2012)?", + "options": [ + "222", + "2787", + "2013", + "2778", + "10222" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa363", + "input": { + "question": "If a car travels at a speed of 10 meters per second, how many meters will it travel in 60 minutes?", + "options": [ + "6000", + "36000", + "60000", + "54000", + "72000" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa080", + "input": { + "question": "A 150-meter long train passes a landmark in 15 seconds, and another identical train moving in the opposite direction passes the first one in 8 seconds. What is the speed of the second train in km/h?", + "options": [ + "60 km/h", + "66 km/h", + "72 km/h", + "99 km/h", + "89 km/h" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa456", + "input": { + "question": "If 3 men and 7 women can complete a task in 10 days, and 4 men and 6 women need 8 days to complete the same task, in how many days will 10 women complete the task?", + "options": [ + "50 days", + "40 days", + "30 days", + "20 days", + "10 days" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa068", + "input": { + "question": "The diameters of two spheres are in the ratio 1:2. What is the ratio of their surface areas?", + "options": [ + "1:0", + "1:4", + "1:6", + "1:2", + "1:1" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa332", + "input": { + "question": "A bracelet is being made by stringing beads in a repeating sequence: red, blue, green, yellow, and orange. The bracelet starts with a red bead and ends with a green bead. What is the smallest possible number of beads, q, that can complete the bracelet pattern?", + "options": [ + "22", + "26", + "30", + "34", + "38" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa416", + "input": { + "question": "A triangular park has sides measuring 40 meters, 60 meters, and 70 meters. What is the area of the park?", + "options": [ + "1200 m\u00b2", + "800 m\u00b2", + "1000 m\u00b2", + "1100 m\u00b2", + "900 m\u00b2" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa030", + "input": { + "question": "In a dice throw, what is the probability of rolling a number greater than 3?", + "options": [ + "1/3", + "1/6", + "2/3", + "1/2", + "1/4" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa163", + "input": { + "question": "Last year the price range (per kg) for 100 varieties of apples in the wholesale market was $100. If the prices of each of the 100 varieties increased by 10 percent this year over what it was last year, what is the range of the wholesale prices of the 1000 varieties of apples this year?", + "options": [ + "$50", + "$100", + "$110", + "$600", + "$300" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa488", + "input": { + "question": "A shop sells pencils at 5 for $2. How much will 15 pencils cost?", + "options": [ + "$5", + "$6", + "$4", + "$3", + "$7" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa291", + "input": { + "question": "(7 + 7 + 7 \u00f7 7) / (5 + 5 + 5 \u00f7 5) = ?", + "options": [ + "1", + "1/5", + "15/11", + "3/11", + "none" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Mathematical-Proof-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Mathematical-Proof-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..14bdb750ccced338d82b843c8d158af2590cd0f9 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Mathematical-Proof-Generation/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Mathematical Proof Generation", + "type": "Proof", + "version": "1.0", + "data": [ + { + "id": "mpg458", + "statement": "Prove that if A and B are sets and A \u2286 B, then \u2118(A) \u2286 \u2118(B).", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg108", + "statement": "Prove that the sum of the reciprocals of the squares of the primes converges.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg359", + "statement": "Prove that in any directed graph, the number of vertices with an odd number of incoming edges is equal to the number of vertices with an odd number of outgoing edges.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg020", + "statement": "Prove that for any natural number n, it can be expressed as the sum of a finite number of square numbers.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg155", + "statement": "Prove that the tensor product of two vector spaces is commutative.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg031", + "statement": "Prove that for any natural number n, n^2 + n + 1 is never prime.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg147", + "statement": "Prove that every subspace of a vector space is itself a vector space.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg095", + "statement": "Prove that the order of a subgroup divides the order of the group (Lagrange's Theorem).", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg416", + "statement": "Prove that in a complete graph Kn, the number of Hamiltonian cycles is (n-1)! / 2.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg406", + "statement": "Prove that a graph is bipartite if and only if its adjacency matrix is symmetric and has eigenvalues of opposite signs.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg168", + "statement": "Prove that the inverse of an element in a field can be computed using the Euclidean algorithm.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg400", + "statement": "Prove that a graph with n vertices and 2n-2 edges contains a cycle.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg423", + "statement": "Prove that the adjacency matrix of a tree has exactly n - 1 nonzero eigenvalues, where n is the number of vertices.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg089", + "statement": "Prove that a group is cyclic if and only if it has a generator.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg285", + "statement": "Prove that the area of a right triangle can also be calculated as 1/2 \u00d7 product of the legs.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg119", + "statement": "Prove that every non-prime number greater than 1 has a prime factor smaller than or equal to its square root.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg187", + "statement": "Prove that the direct sum of two free modules is free.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg473", + "statement": "Prove that the intersection of a finite number of sets is a subset of the intersection of any two sets from that collection.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg443", + "statement": "Prove that the distributive property of sets holds: A \u2229 (B \u222a C) = (A \u2229 B) \u222a (A \u2229 C).", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg208", + "statement": "Prove that the additive group of rational numbers Q is divisible.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg201", + "statement": "Prove that every finite abelian group is isomorphic to a direct sum of cyclic groups of prime power order.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg496", + "statement": "Prove the perpendicular bisector theorem: In any triangle, the perpendicular bisector of a side passes through the circumcenter, the center of the circumscribed circle.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg298", + "statement": "Prove that the tangent segments to a circle from a point outside the circle are equal in length.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg004", + "statement": "Prove that 1 can be expressed as the sum of 4 distinct unit fractions in 6 ways.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg383", + "statement": "Prove that the number of ways to partition n distinct objects into two subsets is 2^(n-1).", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg007", + "statement": "Prove that an absolutely continuous random variable is continuous.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg228", + "statement": "Prove that the centroid of a triangle divides each median into two parts, one of which is twice as long as the other.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg326", + "statement": "Prove that in a cyclic quadrilateral, the opposite angles are supplementary.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg074", + "statement": "Prove that the genus of a curve can be computed using the Euler characteristic of its sheaf of differentials.", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + }, + { + "id": "mpg482", + "statement": "Prove that the intersection of two sets is distributive over union: A \u2229 (B \u222a C) = (A \u2229 B) \u222a (A \u2229 C).", + "output": { + "proof": { + "steps": [], + "conclusion": "" + } + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Mathematical-Word-Problem-Solving/annotation.json b/Scope-A/S-A-Quick/nlp/Mathematical-Word-Problem-Solving/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..16c1424e5c1d1ab30fab8d8eaa5b057aa797b502 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Mathematical-Word-Problem-Solving/annotation.json @@ -0,0 +1,406 @@ +{ + "task": "Mathematical Word Problem Solving", + "type": "Mathematical Word Problem Solving", + "version": "1.0", + "data": [ + { + "id": "mwps231", + "problem": { + "text": "The area of a rectangular field is 900 m\u00b2. A person walks along the perimeter of the field at a speed of 4 km/h. How long will it take to complete one round of the field?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps142", + "problem": { + "text": "For any positive integer n, the sum of the first n odd integers equals n^2. What is the sum of all the odd integers between 150 and 250?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps089", + "problem": { + "text": "The ratio of the length to the breadth of a rectangular field is 4:3. A cyclist travels along the boundary of the field at a speed of 15 km/h and completes one round in 10 minutes. What is the area of the field in square meters?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps340", + "problem": { + "text": "In the number 12,3 cd, where c and d represent the tens and units digits, respectively, if the number 12,3 cd is divisible by 55, what is the greatest possible value of c \u00d7 d?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps495", + "problem": { + "text": "What is the result of multiplying 142 by 15?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps158", + "problem": { + "text": "What is 130% of 7/10?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps496", + "problem": { + "text": "Four 6-sided dice are rolled simultaneously. What is the probability that all four dice show the same number?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps096", + "problem": { + "text": "An article costs \u20b960. If the article is marked up so that after offering a 10% discount, the selling price allows a profit of 30% on the cost price, what is the marked price?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps429", + "problem": { + "text": "Set A contains all two-digit prime numbers, and Set B contains all multiples of 5 less than 100. If the two sets are combined, what is the range of the new set?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps315", + "problem": { + "text": "A rectangular garden has an area of 100 square meters, and the perimeter is 40 meters. If the area is increased by 25 square meters while keeping the perimeter the same, what will be the new length of the garden?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps236", + "problem": { + "text": "A baker is making two types of bread, one costing $12 per loaf and the other costing $15 per loaf. If he mixes them in a 2:3 ratio and sells the mixture at $18 per loaf, what is the percentage profit he earns from the mixture?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps241", + "problem": { + "text": "Find the greatest number that leaves the same remainder when dividing 50, 100, and 150.", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps292", + "problem": { + "text": "Every Monday, Sarah eats one muffin, and every Tuesday she eats two muffins. On each subsequent day of the week, she eats a number of muffins equal to the sum of the muffins eaten on the two previous days. However, if she eats more than 4 muffins on any day, the next day she will only eat one muffin. If a month starts on a Friday, how many muffins will Sarah eat on the 30th of the month?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps410", + "problem": { + "text": "A train travels at 12 meters per second. How many meters does the train cover in 30 minutes?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps023", + "problem": { + "text": "The ratio of birds to squirrels in a park is 5:7. The average number of birds and squirrels is 90. How many squirrels are there in the park?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps034", + "problem": { + "text": "Let P(A) = 3/7 and P(B) = 2/7. If A and B are independent events, find P(A \u2229 B).", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps248", + "problem": { + "text": "Two vehicles of the same length are traveling on parallel tracks in the same direction. One vehicle is moving at 50 km/h, and the other at 40 km/h. The faster vehicle overtakes the slower one in 20 seconds. What is the length of each vehicle?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps170", + "problem": { + "text": "An airplane travels 420 km in 6 hours. To cover the same distance in 5 hours, what should be the speed?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps080", + "problem": { + "text": "What is the total sum of the first 50 consecutive natural numbers?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps257", + "problem": { + "text": "80% of a certain number is reduced by 25, and the result is 75. What is the number?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps284", + "problem": { + "text": "A team consists of 5 science teachers, 3 history teachers, and 2 geography teachers. If two teachers are randomly selected to participate in a seminar, what is the probability that both selected teachers will be science teachers?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps486", + "problem": { + "text": "If n is a positive integer and the product of all integers from 1 to n, inclusive, is a multiple of 500, what is the least possible value of n?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps105", + "problem": { + "text": "A school has 90 students, and 52 of them participate in soccer while 44 participate in basketball. 12 students do not play either sport. How many students play both soccer and basketball?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps001", + "problem": { + "text": "A train travels 60 miles in 1 hour. What is its speed in miles per hour?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps417", + "problem": { + "text": "The area of a square is 3600 sq cm. A rectangle has a length that is three times the side of the square and a breadth that is 18 cm less than the side of the square. What is the ratio of the breadth to the length of the rectangle?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps479", + "problem": { + "text": "If 4 men can harvest a field in 12 days and 6 women can harvest the same field in 18 days, how long will 6 men and 8 women take to harvest the field together?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps104", + "problem": { + "text": "There are 12 containers numbered from 1 to 12, each filled with oranges. 15 kids are asked to pick oranges one by one from each container such that the number of oranges each child picks from each container matches the number marked on the container. If the total number of oranges is 1200, and no container is emptied in the process, how many oranges remain in the containers after all the children have picked their share?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps215", + "problem": { + "text": "What is the value of (0.03)\u00b2 + (0.47)\u00b2 + (0.038)\u00b2 / (0.004)\u00b2 + (0.063)\u00b2 + (0.0051)\u00b2?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps132", + "problem": { + "text": "A bowler's average is 15.2. In his next match, he takes 6 wickets for 24 runs, reducing his average by 0.5. How many wickets had he taken before the match?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + }, + { + "id": "mwps027", + "problem": { + "text": "In a gathering, the ratio of women to men was initially 2:3. However, after 8 women and 8 men left, the ratio of women to men became 1:4. How many people were present at the gathering at the start?", + "constraints": [] + }, + "output": { + "solution": { + "steps": [], + "final_answer": "" + } + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Medical-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Medical-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9b39111fa986b87d8a7243c962376113f4cbbd85 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Medical-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Medical Question Answering", + "type": "OpenQA", + "version": "1.0", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "mqa358", + "input": { + "question": "Is there anything I can eat to get rid of acne quickly?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa095", + "input": { + "question": "My 8 month old has HFM, and is in a lot of pain. Blisters everywhere, barely able to sleep and is inconsolable when awake. Other than giving him Tylenol and offering cold things to chew on I m not sure what to do to keep him comfortable enough to sleep?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa179", + "input": { + "question": "I\u2019ve been dealing with lower back pain for about a year along with excessive gas in my stomach. I had a kidney infection recently and was treated, but the symptoms persist. I have no history of back injury, and I\u2019m 57 years old, generally healthy. I was prescribed Zerodol 100mg and Cipro 500mg, which seemed to help the infection, but the back pain remains, especially between midnight and 7 AM. What do you suggest?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa432", + "input": { + "question": "I have a small lump in my throat that has been there for five weeks. I\u2019ve taken antibiotics to see if it could be my glands, but the lump is still there. It\u2019s not painful or affecting me when eating, but I\u2019m wondering if it could be cancer or if I\u2019m overreacting." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa058", + "input": { + "question": "hello, im a 22 year old male, i have had sudden testicular pain in my right testicle, first felt like i was kicked in the balls, now the pain changed, feels like the pain is in the veins, i had a blood test and ultrasound and both tested negative..what can this pain be ? thank you for your help" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa257", + "input": { + "question": "My wife has been experiencing lower abdominal and back pain for the past four months. She had a seizure 18 months ago. We consulted with her gynecologist, who advised an ultrasound and some blood tests. The results came back normal. After reviewing the reports, the doctor prescribed Gynazole 200 (1 capsule at night), i-Flag (1 capsule daily), and Normaton. However, there has been no improvement. Two months later, he recommended Gynazole 200 (at night), Tryptomer 25 (at noon and night), and Normaton (2 teaspoons at noon and night). Are these medications correct for her condition? What could be the cause of her pain?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa217", + "input": { + "question": "Hello, perhaps you could settle a bet. Here are the symptoms." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa410", + "input": { + "question": "I have diffuse fatty liver infiltration found during an ultrasound for prostate issues. The urologist said it\u2019s normal. I take Natrilix for blood pressure and Remylin for vitamin B. I also have bloating issues. Will Liv 52 help cure the problem?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa166", + "input": { + "question": "Hi, I\u2019m a 20-year-old male and had a circumcision this morning. I wanted to know if it\u2019s safe to sleep on my stomach, or should I sleep on my back? After reading about post-circumcision care, should I clean and treat my penis at home, or do I need to go to the clinic for check-ups?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa131", + "input": { + "question": "I ate chips, licked my fingers, then pulled back my foreskin and wiped the area with my spit-covered fingers. After a month or so, I noticed white, clustered bumps along the area I wiped with my fingers. Is this an STD? There is no itching or redness, just occasional mild burning." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa489", + "input": { + "question": "My daughter age 6 chked on a sweet 2 days ago, a woman helped to dislodge it by hitting my daughter on the back. She appears ok however I am noticing that she seems to be burping lots now and also says it feels like something is stuck in her throat when eating." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa199", + "input": { + "question": "I have a small sore spot on my gums inside my mouth, on the bottom left side near where my wisdom tooth would be if it hadn\u2019t been removed years ago. It hurts when I press on it, feels a bit bumpy under the skin, and is slightly swollen. I haven\u2019t had any injury. What could this be?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa050", + "input": { + "question": "Hi Doctor, I need one information. I sometimes get red colored ulcers on my tongue after eating few particular things like Indian gooseberry or something which is sour and tangy.It again goes off immediately after I drink water or something which is cold.Please can you suggest what can be the reason behind this." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa242", + "input": { + "question": "I\u2019ve been taking 40mg of Celexa daily for over five months now. Recently, I\u2019ve noticed that I\u2019m losing track of time \u2013 it\u2019s usually just a few minutes here and there, but today it was a longer period. I\u2019m concerned. What could this be?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa264", + "input": { + "question": "Hello doctor, I am 29 years old. I was worried about losing control. These thoughts caused me to panic, and I couldn\u2019t focus on anything, not even TV programs. I consulted a doctor, and he prescribed me sertraline tablets. I have been taking them for the past two years, but I stopped taking them about 4 months ago. Now, the feelings are slowly returning. Can you offer some guidance?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa289", + "input": { + "question": "Dear doctor, for the past four weeks, I have been experiencing pain on the right side of my back, about ten inches above the waist, but not in the spine area, possibly near the kidney. I had a scan of my kidneys, and they are fine. The scan indicates that my liver is fatty, and I have a belly that protrudes 4 inches above my chest. My abdomen has not been in good condition lately, and I am also facing constipation issues. Please guide me." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa022", + "input": { + "question": "My mother-in-law is in remission from limited-stage small cell lung cancer. She wants a partial hip replacement. The doctors have given her clearance for surgery, but I\u2019m worried she might not heal well. Will the surgery possibly cause her cancer to relapse due to the stress on her body?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa435", + "input": { + "question": "Hi my mom is 64 years old and she is suffering from repeated coma which lasts for few days ,all the lab tests shows normal results except for slight elevation in liver enzymes and the serum ammonia is 160 we ruled out neurological issues what could be the reason ? Thank you" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa360", + "input": { + "question": "There is a knot below my shoulder blades on the right side of my spine. It feels like a hard ball, slightly smaller than a marble. I\u2019ve had back pain since I jarred my back a year ago, and the pain has been in this area ever since. What could it be?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa239", + "input": { + "question": "I am a 79-year-old male and have been experiencing brief chills and sweating for about two months. My white blood cell count is elevated, but my bone marrow test was normal. The doctor doesn't know what\u2019s causing it. When I experience chills, I don't have a fever when checked, and my blood pressure seems fine. Any advice?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa497", + "input": { + "question": "Hi, I am 50 yr old female I had mono last February and I have the same symptoms again. Low fever daily constant fatigue. is it possible that it has just returned. The Dr. couldn t do anything for it the last time should I make another appointment to see him." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa472", + "input": { + "question": "My lab report shows elevated SGOT and SGPT levels. I\u2019ve been taking LIVOGEN and have quit alcohol completely. I\u2019m concerned about my liver. Should I travel and start my new job in the Gulf?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa043", + "input": { + "question": "Hi, I just received my blood results, because I am always a bit low on iron. Iron is 16 ( 10 - 250?), but also RDW is a bit high - 14.9 (max. 14.5). I take iron daily, is not helping all that much. Should I be pursuing this with my doctor? How? Many thanks." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa246", + "input": { + "question": "I just had an HSG X-ray today. Only my left fallopian tube was filled and spilled. I\u2019m confused about what this means in terms of my chances of getting pregnant. I\u2019m 39 years old and have been trying for 18 months, unsuccessfully. I already have one child with the same partner. Thanks in advance." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa184", + "input": { + "question": "I\u2019m a vet tech at a small animal hospital. A week ago, I was scratched while trimming a dog\u2019s nails. It\u2019s almost healed, but now I\u2019m experiencing severe pain in my arm from my elbow to my hand on the underside, especially in sensitive areas. Should I be concerned, or is this unrelated to the scratch?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa155", + "input": { + "question": "I\u2019ve been told I have a chest full of lymph nodes. Some people say you don\u2019t get lymph nodes in your lungs, but my CT scan says otherwise. I\u2019m scheduled for a biopsy in the next couple of weeks, and I\u2019m very nervous and scared about what\u2019s happening." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa407", + "input": { + "question": "Hi, I just went to do something. I was standing for a little while and suddenly started feeling really hot. Gradually, my vision started to go black and it was moving. Why does this happen? I had to sit down because I felt like I was going to faint or fall." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa191", + "input": { + "question": "I have sharp, brief stabbing pain and occasional twinges on the lower right side of my abdomen. The doctors ruled out ovarian cysts on that side. What could be the possible cause? The pain doesn\u2019t seem like typical appendicitis. Any ideas?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa450", + "input": { + "question": "I had laparoscopic gallbladder surgery yesterday. Today, I noticed that both of my upper arms are warm and red. I haven\u2019t been rubbing them, but the difference in temperature is noticeable. They\u2019re not tender, and there\u2019s no pain, but they\u2019re noticeably warmer than the rest of my body. Should I be concerned?" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa186", + "input": { + "question": "Hi, I\u2019m Cathie, a 56-year-old woman with Type 2 diabetes for 20 years, chronic depression, and chronic pain. Lately, I\u2019ve been unable to sleep properly, only getting 1-2 hours of rest within 24 hours. My major symptom is twitching and spasms throughout my body. Can you help me understand what\u2019s happening?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Mental-Health-Toxicity-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Mental-Health-Toxicity-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fff8396d76d8d086ccd620152096e23c9a04755f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Mental-Health-Toxicity-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "mental_health_toxicity_detection", + "data_source": "mental_health_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0060", + "input": { + "raw_text": "would anyone like join abr btw abr stands army black rose", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0242", + "input": { + "raw_text": "goodnight encoresish tail end never quite successful enough music career never hit enough get by quite home love life said cant give anymore love someone whos never there cant grow up out row go groupie love never either way family never agreed career choice dont talk years without making it proves probably right k debt keeping dream going bed day unable write music unable get excited another full venue friends tired misery st world problems say call night night cheap hotels cheap apartment months laundry floor terrified answer phone hear bad news got triple lethal dose painkillers home take all double damage mixed bourbon thought stayed me day month im gas things love scare me thought giving annihilates identity leaving signpost others foolish enough put growing chase dream get life first makes happy build deck take trip work job save money boring happy nobody owes shit put notes together like everyone else lost hope change continue flounder disappoint make whats easy hard try make whats hard easy let down again redundant inefficiency system must corrected goodnight earth band done lights on im going home one last time sleep goodbye loved all", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0330", + "input": { + "raw_text": "contemplating redflagmy waiting marriage knew much commitment god means her anniversary things got hand went far stopped seconds knew wrong spent hour bathroom crying keeps trying say fault mine shouldve stopped me fucking promised would never make break promise god fucking anyway almost driving work morning swerved back lane last second like pathetic waste life am im really sure posted this feel like kill myself somebody able know why", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0176", + "input": { + "raw_text": "running upstairs get tendies mom calls httpsyoutubewrjgtgukmuthttpsyoutubewrjgtgukmut ampxb filler filler filler text filler filler filler filler filler filler", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0473", + "input": { + "raw_text": "sam firstenbergs ninja the domination mixes martial arts the exorcist like horrorthe horror elements thrown screen simply laughablebut film works mindless actionmartial arts flickthe fight scenes wellchoreographed excitingand film never boringso forget stupid dialoguelame acting annoying soundtrackgrab beer check one outhighly recommended", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0059", + "input": { + "raw_text": "deserve dieso ive already posted cant stop obsessing it days ago talking online friend sounded like planning commit redflag called redflag hotline told anything know persons location asked alternatives police told best option call ems called told area code city florida call citys police department said police dept forwarded call florida able trace location i still know why one ended going friends house luckily friend fine now still feel incredibly guilty calling police though should friend queer trans bipoc one vulnerable groups police brutality top going mental health crisis cant stop thinking would happened police actually gone house point im starting obsess it worst part day happened realized couple days ago saved website phone called dontcallthepolicecomhttpsdontcallthepolicecom gives alternatives calling police even one specifically mental health crises saved website especially friend case needed it im asking anyone feel bad give sympathy know horrible im cant see living much longer knowing could reason someone got hurt died feel like ive ruined entire life cant go life knowing something like this sounds dramatic really im feeling needed get ig reason tried kill yet parents would feel", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0463", + "input": { + "raw_text": "ive said goodbyes nowi didnt really give context people speak even daily basis said wouldnt around needed time alone made mind dont know it leave note it dont want family find me im worried cats honestly dont live alone give adoption honestly hardest part me know im rambling many anxiety attacks last hrs feel like heart wont slow stops one ever taken seriously parents think mental illness self harm bs guess never grew phase mom took years redflag method", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0393", + "input": { + "raw_text": "parents seem understand support niece so im suicidal years family never talk emotional problems ever ever try to mum especially guilt trip make seem victim want listen side actually thought normal recently im problem family moment niece self harming go hospital eating disorder refusing eat time suicidal something really knew mum knew something me blamed told im making worse etc knows psychologist asked behaviours sleeping constantly sad ended calling redflag line saw doctor mental health crisis team came house make sure im planning killing myself parents know im suicidal approve all finding every excuse try put blame me say fault making like this constantly ask im suicidal assumed im suicidal im worried niece obviously worried im suicidal tell thats reason im suicidal say im making excuses up mum late s dad hearing good speak loudly knowing im room hear every word say heard talk bout say strange im suicidal also annoys me situations went my niece self harming im worried her im always ill anything want im suicidal hes probably making up everyone worried my niece getting much attention wants asked noticed eating lot said its happened my niece gets diagnosed eating disorder eating enough year gets diagnosed it im attention get help secret want anyone family know wanted attention id go around telling everyone posting facebook day which niece does ive depressed long time around ive seen point living long time parents deny been told nurse recent thing niece gets hospitalised back february bullshit regret getting help done made worse made look bad keep getting evil looks brother i think parents made stuff told them entire family think im attention seeker thought would happened did made even harder kill im watched time see gp regret day much could go back id never see her fuck", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0315", + "input": { + "raw_text": "feel split halfi verge killing myself told friend feel told jog want everything end tired waiting chat redflag hotline talking phone huge anxiety trigger me want head silent want anymore nightly routine wanting die want end want go home", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + }, + { + "id": "0321", + "input": { + "raw_text": "kill myselfi cant take thoughts anymore spending two years suicidal hell earth ive angsting whether try get help again know fail horribly again need overcome fear death fail time im close almost taste it thing life need succeed at old saying goes you one job problem keep bouncing methods ive collected menagerie suicidal implements hopefully last post im terrible succeeding first succeed try try again", + "prompt": "<<>>. Analyze this text and determine if it indicates a mental health crisis. Respond with either 'Crisis' or 'Non-crisis'. Provide only the category name as output." + }, + "output": { + "crisis_level": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Metaphor-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Metaphor-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..36bd9e8712699a3f5e745c69efa150c887ad655b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Metaphor-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "metaphor_detection", + "data_source": "metaphor_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0033", + "input": { + "raw_text": "A recession could trip up the Canadian dollar's recovery and a resumption of the dollar's decline against other major currencies would almost certainly drag the Canadian dollar down too", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0079", + "input": { + "raw_text": "After a few years of relative calm, Burger King is about to start a new advertising campaign that attacks the way McDonald's cooks", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0403", + "input": { + "raw_text": "The ship hadn't attacked U.S .- flag vessels or been involved in mine- laying", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0015", + "input": { + "raw_text": "Limited grew so quickly and was such a hit on Wall Street for so long \" that some of us thought it could escape the current fashion retail slump, but that isn't the case.'", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0301", + "input": { + "raw_text": "She remembers a ninth- grader who was bullied by older students into missing class regularly", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0321", + "input": { + "raw_text": "On one occasion, intelligence sources say, a rebel band took its Stingers to the Soviet air base at Qandahar, set up shop not far from the end of the runway, blasted a few Soviet planes as they tried to take off laden with fuel and ammunition, then melted into the hills", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0253", + "input": { + "raw_text": "He flew off in one of his three 707s for long weekends in places like Australia with people like John and Bo Derek", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0326", + "input": { + "raw_text": "Yet when ordered to dance by his master, he gamely sprinkles a little sand on the ground and shuffles through a series of rapid dance steps ending in a pathetic little pawing motion that symbolizes his entrapment", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0362", + "input": { + "raw_text": "The feisty, 62-year- old director of the airline division of the Teamsters union wants 4, 300 Pan Am reservationists, ticket agents, and office and other workers to strike Pan Am Corp. after a cooling- off period that ends Sunday", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0230", + "input": { + "raw_text": "That planted the seeds of discontent between Mr. Kirk and the Jackson forces", + "prompt": "<<>>. Determine if this sentence contains metaphorical usage. Respond with either 'Metaphorical' or 'Not Metaphorical'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Multi-Document-Summarization/annotation.json b/Scope-A/S-A-Quick/nlp/Multi-Document-Summarization/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b239e17c3064a5d53fa2044e7ca953a4bfe66621 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Multi-Document-Summarization/annotation.json @@ -0,0 +1,120 @@ +{ + "task": "Multi-Document Summarization", + "type": "Summarization", + "version": "1.0", + "data": [ + { + "id": "mds030", + "document_list": [ + "A music fan, inspired by a recent crowdfunding campaign that brought Foo Fighters to Virginia, has started his own effort to prevent the Canadian rock band Nickelback from performing in London. Craig Mandell, who is behind the campaign, hopes to raise $1,000 (\u00a3626) to keep the band from performing in the capital. His campaign, titled \u2018Don\u2019t Let Nickel Back,\u2019 aims to send emails to Nickelback's management urging them to avoid scheduling any concerts in London. The more money raised, the more forceful the emails will be, with a $50 donation resulting in an email containing a Nickelback song in the hope of convincing the band to retire.", + "Craig Mandell, inspired by the success of a recent crowdfunding campaign that brought Foo Fighters to Virginia, has launched his own campaign to keep Nickelback out of London. His \u2018Don\u2019t Let Nickel Back\u2019 Tilt campaign aims to raise $1,000 to send a series of emails to Nickelback\u2019s management. The severity of the emails increases with the size of the donation, with higher contributions resulting in more forceful messages. A $50 donation guarantees an email containing a Nickelback song, with the hope that hearing their own music will prompt the band to retire. Mandell has also promised that all funds raised will go to charity or to therapy for those affected by the band." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds084", + "document_list": [ + "The aim of these crawls is to preserve pages as they are created and to archive the pages that they reference. This ensures that even if the original pages are removed or altered, a snapshot of the version that was live at the time will be preserved. The Internet Archive hopes these archived versions can replace broken links or provide a companion link for those wanting to see the original content.", + "Salma Hayek is grieving the loss of her dog. On Friday, the 49-year-old actress shared the heartbreaking news on Instagram that her dog Mozart was found fatally shot last week. Hayek wrote, 'I haven't posted in a week because I've been mourning the loss of my dog, Mozart, who I delivered myself.' She continued, 'He was found dead at my ranch on Friday, shot close to his heart.' Hayek expressed her hope that authorities in Washington State would bring justice to the dog, who had never hurt anyone. She described Mozart as a loving and loyal companion who never left his territory. 'He didn\u2019t deserve to die a slow and painful death,' she added.", + "In her post, Hayek shared a photo of herself with Mozart, and her Instagram is filled with images of her with other pets as well. In July, Hayek was among several celebrities who spoke out against the killing of Cecil the Lion, sharing her thoughts with Entertainment Tonight on the matter." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds202", + "document_list": [ + "The Olsen twins' luxury fashion brand, The Row, has introduced a $39,000 crocodile-skin backpack that is flying off the shelves at Barneys New York. According to Ashley Olsen, the item has sold out quickly, becoming the first product from the collection to do so. She explained that the brand had underestimated the demand for the high-priced bag, which has been a huge success since it was launched in July. The backpack is priced at a stunning $39,000, positioning it as one of the most expensive items in their collection. The Row's decision to produce such an extravagant item was made partly in response to the success of high-end luxury items during economic downturns, with Ashley pointing out that 'the only thing that went up during the last recession was Herm\u00e8s.' Despite its sky-high price tag, the bag has proved popular, demonstrating that there is a market for ultra-luxury accessories even in difficult economic times.", + "Ashley Olsen has revealed that The Row's $39,000 crocodile-skin backpack has become an instant success, selling out quickly after its release at Barneys New York. The Olsen twins' luxury brand has gained a reputation for its high-end, timeless designs, and this backpack has certainly caught the attention of wealthy shoppers. According to Ashley, the bag was 'the first thing that sold off the shelf' when it became available in July. Barneys New York has been actively seeking out luxury items that cater to a younger demographic, and the backpack has fit that bill perfectly. Amanda Brooks, the fashion director at Barneys, explained that the store has been focusing on offering bags that appeal to customers looking for a high-quality, long-lasting investment piece. The backpack\u2019s exclusivity has added to its appeal, as customers know they\u2019re unlikely to see many others with the same item." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds168", + "document_list": [ + "A group of individuals who believe in the 9/11 conspiracy theory is planning to protest in front of Charlie Sheen's live performances, accusing him of betraying their cause. Sheen had previously been outspoken in support of the theory, famously commenting that the collapse of the World Trade Center resembled a 'controlled demolition.' However, Mark Dice, a leading figure in the 9/11 Truth Movement, says Sheen has turned his back on their mission. Dice argues that Sheen should be focusing on questioning the events surrounding 9/11 and the wars that followed, rather than boasting about his drug use and relationships with escorts. Dice claims he has attempted to contact Sheen without success, and warns that protests will be organized if Sheen doesn't address the issue soon.", + "Sorry, we couldn't find the page you're looking for. Please verify the URL for any errors or incorrect capitalization. If you're still having trouble, consider visiting Yahoo!'s homepage or using the search bar. You may also find helpful information through Yahoo!'s services or by browsing the popular topics list. For more assistance, try reaching out to Yahoo! Help Central." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds042", + "document_list": [ + "Chris Brown Provides Evidence in Bar Brawl, Lawyer Targets Drake \n \n EXCLUSIVE \n \n Chris Brown has spoken to NYPD detectives about the altercation that resulted in his chin injury. Law enforcement sources report that Brown\u2019s lawyer, Mark Geragos, has submitted \"physical evidence\" suggesting Drake and Meek Mill were the instigators. Brown met with detectives earlier, while Geragos presented the evidence on Thursday. \n \n Authorities confirm that Brown is not a suspect but rather a \"witness and victim.\" Drake, also not a suspect, is said to be cooperating through his representatives. \n \n Sources indicate that a member of Brown\u2019s entourage may have incited the altercation with Drake\u2019s group, as the two exchanged verbal jabs and gestures prior to the fight. \n \n As previously reported, tensions between the two escalated throughout the evening.", + "Actress and singer Rihanna recently attended the Los Angeles premiere of \"Battleship\" and discussed her packed schedule. \n \n Rihanna, 24, is currently working on her seventh album and aims to complete two more films before resuming her music tours next year. However, her hectic schedule recently led to a hospitalization for exhaustion after the Met Ball. \n \n Rihanna, who described herself as a size 0, expressed unhappiness with her shrinking figure, stating, \"I prefer myself a bit chunkier. I want my old curves back!\" \n \n Fans have raised concerns about her health, though Rihanna attributes her condition solely to overwork." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds018", + "document_list": [ + "An argument over a break room light switch led to a deadly stabbing at Philadelphia International Airport on Thursday morning. Police say the altercation involved three workers employed by Worldwide Flight Services, a contractor that cleans planes for Frontier Airlines. The argument started when one worker turned off the light, angering another. A third man then took out a knife, stabbing one of the workers in the abdomen. The 28-year-old victim was rushed to the hospital where he was later pronounced dead. The other two men fled but were apprehended by police shortly afterward. The weapon, believed to be a box cutter, has not been recovered yet, but police are continuing their investigation.", + "A deadly stabbing occurred at Philadelphia International Airport Thursday morning after a disagreement over a break room light. The incident took place in a secure area near Gate E6 and involved three workers from Worldwide Flight Services, a cleaning contractor for Frontier Airlines. The conflict began when one worker turned off a break room light, angering another. A third worker then intervened and stabbed the victim, 28-year-old Aaron Jenkins, in the abdomen. Jenkins was transported to a hospital, where he was later pronounced dead. The two other workers fled the scene but were apprehended by police. Investigators believe the weapon used was a box cutter, which has not yet been located." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds223", + "document_list": [ + "Arizona Representative Trent Franks expressed his belief that an additional armed person in Tucson during the recent shooting might have prevented some of the tragedy. He stated, 'I wish there had been one more gun there that day in the hands of a responsible person.' This perspective aligns with arguments from gun rights activists who suggest that more firearms could increase safety in such situations. However, critics argue that introducing more weapons could also lead to unintended harm, as seen in similar past incidents.", + "Following the Tucson shooting, Rep. Trent Franks emphasized the importance of responsible gun ownership, suggesting that the presence of an armed civilian could have mitigated the situation. The comment came during a GOP security briefing where lawmakers discussed strategies to improve safety. Some representatives, like Jason Chaffetz, plan to carry concealed weapons during public events, while others are coordinating with local law enforcement to enhance protection." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds288", + "document_list": [ + "According to Vermont State Police, a 5-year-old boy died two days after his grandmother passed away while attempting to rescue him from drowning.\n\nOfficials stated that Jaxon Lawrence was declared dead at Dartmouth-Hitchcock Medical Center on Sunday.\n\nPolice reported that Jaxon fell off a toy flotation device in Lowell Lake in Londonderry on Friday. His grandmother, Julie Lawrence, 55, tried to help him but began to struggle as well. Emergency responders found both of them unconscious in the water and attempted to revive them. Julie Lawrence was pronounced dead at the scene. Jaxon's 9-year-old brother also tried to save him by swimming for help, and is in good condition.\n\nThis story was amended to correctly spell the boy's name as Jaxon, not Jackson.", + "In Milford, New York, authorities have reported that a 3-year-old boy drowned in the Susquehanna River after he went missing from a home in upstate New York.\n\nNew York State Police confirmed the family reported Andrew Durkin missing just before 3 p.m. on Sunday from their seasonal residence in the Otsego County town of Milford, located 60 miles southwest of Albany. A search operation involving state troopers, the Otsego County Sheriff's Office, firefighters, emergency responders, and local civilians followed. Andrew was found by a state police underwater recovery team approximately 17 feet from a dock at 4:30 p.m. Attempts at resuscitation were unsuccessful, and he was declared dead at a hospital. The death has been ruled an accidental drowning.\n\nAndrew, who had a twin brother, was from Gilboa in neighboring Delaware County.\n\nThis story has been updated to clarify that the drowning occurred in the Susquehanna River, not a lake." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds268", + "document_list": [ + "A woman who sent a message in a bottle into the North Sea over two decades ago has received a reply. Zoe Averianov, then 10 years old, threw her note into the sea while traveling by ferry from Hull to Belgium in September 1990. More than 23 years later, she received a letter in response, which had been sent to her parents' home over the Christmas period. Zoe was surprised by how far her message had traveled.", + "The letter, originally written by Zoe, described her love for ballet, playing the flute and piano, and included details about her hamster Sparkle and fish Speckle. The response she received came from Piet and Jacqueline Lateur, who had found the bottle while walking on the Oosterschelde dikes in the Netherlands. In their reply, they told Zoe how they discovered her message while walking along the sea dike.", + "Zoe, now 33 and living in Pendleton, was overwhelmed when she saw the letter, which arrived at her parents' home during Christmas. She recognized her handwriting from when she was a child and was moved by the reply from the couple in the Netherlands. Piet and Zoe have since exchanged emails, and he shared that he is keeping her original letter on his piano." + ], + "output": { + "summary": "" + } + }, + { + "id": "mds056", + "document_list": [ + "Starbucks made a notable misstep when it invited followers on Twitter to share what makes them proud to be British as part of a Diamond Jubilee campaign. The company, however, mistakenly sent the message to nearly 2,000 Irish followers of its account, sparking backlash over the confusion of political boundaries.", + "One Twitter response humorously pointed out, 'Right now, someone at Starbucks Ireland is wishing for a memory wipe from *Men in Black*.' Another follower, Fergus McNally, noted, 'The 'ie' stands for Ireland. I\u2019ll be waiting for an apology before I return to your stores!'", + "Starbucks quickly issued an apology, clarifying that the tweet was meant for their UK followers, not Irish customers. 'We mistakenly posted to our Irish Twitter account, and we deeply apologize for the confusion,' the statement said, expressing regret for the error.", + "This gaffe comes after another incident earlier this year, when Nike faced criticism for releasing a shoe inspired by a British paramilitary group with controversial ties to Irish history. The 'Black and Tan' sneaker, named after Guinness, caused offense due to its historical connotations." + ], + "output": { + "summary": "" + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Multi-Turn-Daily-Dialogue-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Multi-Turn-Daily-Dialogue-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9b6d581f2e273c15eb25e5c8729808840efa86a3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Multi-Turn-Daily-Dialogue-Generation/annotation.json @@ -0,0 +1,308 @@ +{ + "task": "Multi-Turn_Daily_Dialogue_Generationid", + "type": "Dialogue", + "version": "1.0", + "data": [ + { + "id": "mtddg426", + "dialog": [ + "Excuse me, stewardess. Where should I put my bags?", + "You can place the smaller one in the overhead compartment and put the larger one under the seat in front of you.", + "Thank you very much." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg520", + "dialog": [ + "Is something wrong?", + "I\u2019m concerned about my daughter. She can\u2019t decide on a college.", + "Don\u2019t worry. That\u2019s just part of being a teenager.", + "I don\u2019t mind that, but she argues with me about everything.", + "You should encourage her to make the decision on her own. Don\u2019t push her too much.", + "I just want to give her some guidance.", + "Well, she can make her own decisions.", + "I guess you\u2019re right.", + "Trust me, everything will be fine." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg278", + "dialog": [ + "What would you like for dinner? Chicken or beef?", + "Chicken, please.", + "Great choice!", + "What kind of drinks do you have?", + "We have a wide selection of drinks, including fruit juices.", + "In that case, I\u2019ll have a glass of orange juice.", + "Anything else?", + "I\u2019d also like some tea, please.", + "Another flight attendant is coming down the aisle with coffee and tea." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg320", + "dialog": [ + "Hey Kevin, what are you doing here? Don\u2019t you usually spend Tuesday nights studying at home?", + "I needed a break. My parents just flipped out over something my older sister told them.", + "What did she tell them? Is she dropping out of college?", + "Nothing that extreme. She finally told them that she moved out of the dorm months ago and has been living with her boyfriend.", + "And your parents didn\u2019t take it well?", + "That\u2019s an understatement. My dad started yelling at her, and my mom just glared at her.", + "Ouch, that sounds tough. What did your sister do?", + "She started arguing back, telling my dad how much she loves her boyfriend, how they\u2019re in love, and that it\u2019s not hurting anyone. My dad said she\u2019s too young and that she should move out right away.", + "How long have they been together?", + "Three years. They\u2019ve been dating since freshman year. They\u2019re even talking about getting married.", + "Really? In that case, living together makes sense.", + "What do you mean?", + "Well, these days, too many people get divorced. If they live together first, at least they can find out if they\u2019re really compatible." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg475", + "dialog": [ + "We\u2019re almost at the top of the mountain.", + "What a stunning view!", + "Yes, from here you can see the entire city.", + "It\u2019s wonderful. Will we have some free time up there?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg369", + "dialog": [ + "I called HP about my computer.", + "What did they say?", + "They said I need to replace the hard drive.", + "That\u2019s unfortunate. How much does a new one cost?", + "It\u2019s not too expensive\u2014only about $85.", + "Does that include installation?", + "No, the hard drive is easy to remove and replace myself.", + "Really?", + "Yes, it\u2019s just a couple of screws.", + "That\u2019s convenient.", + "It\u2019s definitely better than paying someone $60 to do it." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg472", + "dialog": [ + "Hi, Mr. Smith. What\u2019s new?", + "Nothing much, but...", + "What\u2019s going on?", + "I don\u2019t really know how to explain it.", + "Go ahead. It\u2019s nothing serious, right? We\u2019re good friends, aren\u2019t we?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg124", + "dialog": [ + "Why did you pull me over?", + "Are you aware that you ran a red light?", + "I ran a red light?", + "Yes, you did.", + "I\u2019m sorry, I didn\u2019t realize I did.", + "Were you taught that yellow means slow down, not speed up?", + "I did learn that.", + "Then why did you speed up?", + "I don\u2019t really know what to say.", + "I\u2019m going to have to issue a ticket.", + "I understand." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg548", + "dialog": [ + "I hate going outside.", + "Me too.", + "Why do you hate it?", + "I always run into too many idiots.", + "I agree. This city is full of them.", + "Rude people are everywhere.", + "But what can you do?", + "You can yell at them.", + "And they'll yell back at you.", + "Yelling doesn't help." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg117", + "dialog": [ + "Do you use antivirus software to protect your computer?", + "Yes, I do. I also use anti-spyware software and a firewall. There are so many threats online and so many people trying to harm other users. You have to be very cautious.", + "How often do you run your antivirus program?", + "I usually run it every couple of days. It catches a virus about half the time.", + "Which antivirus program would you recommend?", + "Have you tried this one? It's really good, and you can download it for free from the internet. You can also get free updates.", + "That sounds great. What website should I visit to download it?", + "Just a second\u2026 go to this site. I\u2019ll send you an email with the link. It only takes a few minutes to download, and then you just follow the setup steps. They're easy to do.", + "What do you use your computer for?", + "I use it for a lot of things\u2014surfing the web, word processing, and creating presentations. I don\u2019t play many games, but I do a lot of work with photos. Using a program on the computer..." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg286", + "dialog": [ + "I'm a bit pressed for time. Is there a quicker way to get there?", + "Yes, of course. You can take a taxi.", + "How much will that cost?", + "It depends on the traffic and distance, but it\u2019s usually reasonable.", + "Do the drivers speak English?", + "Some are better than others, but you shouldn\u2019t have any issues.", + "Are they safe?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg144", + "dialog": [ + "Honey, what\u2019s wrong?", + "I\u2019m not feeling well. I\u2019m really nervous.", + "Take it easy. We\u2019re going to have our baby. You should be excited.", + "Yeah, I know.", + "The doctors and nurses will help you. I\u2019ll be right here, waiting for you, praying for you and the baby." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg075", + "dialog": [ + "Hello, is this Xiaogang Li, who applied for the Solar Studio at our college?", + "Yes, that\u2019s me.", + "I wanted to ask if you\u2019re still planning to attend the interview. Have you accepted any offers from other companies?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg541", + "dialog": [ + "Excuse me, Sir, could you tell me the time?", + "Oh, it's nearly eleven twenty.", + "Thank you.", + "You're welcome. The rain is pretty heavy, isn't it?", + "Yeah, I was in a rush and forgot my umbrella today.", + "I have one. We could share it. Where are you headed?", + "That's very kind of you. I'm going to the Garden Hotel.", + "I'm headed there too. We can walk together." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg386", + "dialog": [ + "Our toner cartridges are running low... Could you place an order for a new set?", + "Do we need new cartridges for all the office printers? That\u2019s a big order, probably two or three cases. The office supply store we usually use might not have that many in stock.", + "You can check with the housekeeping department, but I\u2019m pretty sure all the machines need new cartridges. The last time we ordered, the quantity was quite large. The supplier is used to filling bulk orders for us. As long as we give them a couple of days' notice, they can usually fulfill the order.", + "Okay, I\u2019ll make a few calls and confirm with housekeeping first. Is there anything else we need to order while I\u2019m at it?", + "I think toner is the only thing we need. Try to see if they can deliver it before the end of business tomorrow. We really need to stop waiting until the last minute to order things that are usually on a regular monthly schedule. Anyway, do what you can to expedite the order this time." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg102", + "dialog": [ + "Good afternoon, Johnson.", + "Good afternoon, Mary. How\u2019s business?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg108", + "dialog": [ + "I really hate doing laundry." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg460", + "dialog": [ + "Excuse me, sir. Is there a barber shop nearby?", + "Yes, the nearest one is at the third intersection on this street.", + "I'm new around here. Could you guide me there, please?", + "Just walk down the road for a few minutes, and you\u2019ll find it on your right." + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg517", + "dialog": [ + "Do you have a moment?", + "Sure, what do you need?", + "I\u2019m having some trouble. How do I use this printer?", + "Well, first, you need to turn on this switch.", + "Oh, I feel silly now.", + "Now, press this button.", + "Oh, and it\u2019s out of paper. Do you have any more?" + ], + "output": { + "response": "" + } + }, + { + "id": "mtddg132", + "dialog": [ + "Bill, do you know if the cafeteria around the corner is open today?", + "Yes. It was open this morning when I came to work. They must\u2019ve finished the renovation. Why do you ask?", + "Well, I thought maybe we could have lunch there today. Unless you\u2019ve already made plans with someone else.", + "That sounds great, Peter. But I hope you\u2019re in a better mood than this morning.", + "Sorry I was so grumpy. It must have been the weather. I get down when it rains." + ], + "output": { + "response": "" + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Multihop-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Multihop-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3e186eedc5c9f0542008e07277a3fd595526db6f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Multihop-Question-Answering/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Multihop Question Answering", + "type": "Context-Based OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "mqa101", + "input": { + "question": "David Huntsinger has worked with this gospel singer born in the month of July?", + "context": "Charles Charamba (born 27 April 1971) is a Zimbabwean gospel musician and a pastor in the Apostolic Faith Mission Church of Zimbabwe. Andra\u00e9 Edward Crouch (July 1, 1942\u00a0\u2013 January 8, 2015) was an American gospel singer, songwriter, arranger, record producer and pastor. Just as I Am is the debut album by gospel singer Yolanda Adams, released on September 22, 1987 on the Sound of Gospel label and produced by Thomas Whitfield, who also worked with singer Vanessa Bell Armstrong on early 1980s gospel releases. Kierra Valencia Kiki Sheard (born June 20, 1987 in Detroit, Michigan) is an American gospel singer, fashion designer, and radio host. Latice Crawford (born July 22, 1982 as Latice Tenae Crawford) is an American urban contemporary gospel singer and composer. Yolanda Yvette Adams (born August 27, 1961) is an American gospel singer, record producer, actress, and former radio host of her own nationally syndicated morning gospel show. David Huntsinger is a pianist, composer, songwriter, and arranger who moved from his native California to Nashville, TN, in 1976 and played for the Rambos. Jonathan J-Shin Shinoster is a contemporary R&B/gospel singer born in Liberty City, Florida, who was signed to Slip-n-Slide Records/Atlantic Records and is best known for his hit single One Night Stand with LaTocha Scott of Xscape. Karen Clark-Sheard (born Karen Valencia Clark; November 15, 1960) also known as The Maestris Of Gospel is an American gospel four-time Grammy Award-winning singer, musician, and songwriter. Muyiwa Olarewaju (born 26 November is a British Gospel singer and songwriter who mixes traditional gospel music with elements of world music (from Africa, the Caribbean and Asia), soul, R&B and pop." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa440", + "input": { + "question": "What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?", + "context": "Animorphs is a science fantasy series of young adult books written by Katherine Applegate and her husband Michael Grant, writing together under the name K. A. Applegate, and published by Scholastic. Science Fantasy, which also appeared under the titles Impulse and SF Impulse, was a British fantasy and science fiction magazine, launched in 1950 by Nova Publications as a companion to Nova's New Worlds. The Divide trilogy is a fantasy young adult novel trilogy by Elizabeth Kay, which takes place in an alternate universe. The Kazon are a fictional alien race in the Star Trek franchise. Victoria Hanley is an American young adult fantasy novelist. Shadowshaper is a 2015 American urban fantasy young adult novel written by Daniel Jos\u00e9 Older. The Andre Norton Award for Young Adult Science Fiction and Fantasy is an annual award presented by the Science Fiction and Fantasy Writers of America (SFWA) to the author of the best young adult or middle grade science fiction or fantasy book published in the United States in the preceding year. Etiquette & Espionage is a young adult steampunk novel by Gail Carriger. Dozens of Square Enix companion books have been produced since 1998, when video game developer Square began to produce books that focused on artwork, developer interviews, and background information on the fictional worlds and characters in its games rather than on gameplay details. Left Behind: The Kids (stylized as LEFT BEHIND >THE KIDS<) is a series written by Jerry B. Jenkins, Tim LaHaye, and Chris Fabry." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa489", + "input": { + "question": "In 1991 Euromarch\u00e9 was bought by a chain that operated how any hypermarkets at the end of 2016?", + "context": "John A. Brown was an Oklahoman department store chain. SavaCentre was a chain of 13 hypermarkets and later a further seven discount supermarkets owned and operated jointly by Sainsbury's and BHS, beginning in 1977. Uno-X is a chain of unmanned fuel stations throughout Norway and Denmark. Holiday Inn Orlando - Disney Springs Area is a resort hotel located on the property of Walt Disney World Resort in Lake Buena Vista, Florida. Tesco Extra is a chain of mainly out-of-town hypermarkets, owned and operated by the United Kingdom's largest retailer, Tesco. Tazweed Center is a chain of independently owned and operated hypermarkets operating in the Syrian refugee camps. Euromarch\u00e9 (Euromarket) was a French hypermarket chain. Selver is a chain of supermarkets and hypermarkets operating in Estonia. Carrefour S.A. (] ) is a French multinational retailer headquartered in Boulogne Billancourt, France, in the Hauts-de-Seine Department near Paris. Lewis's was a chain of British department stores that operated from 1856 to 2010." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa354", + "input": { + "question": "Who was born earlier, Emma Bull or Virginia Woolf?", + "context": "Jane Marcus (1938\u20132015) was a pioneering feminist literary scholar, specializing in women writers of the Modernist era, but especially in the social and political context of their writings. The Flash Girls are a now defunct folk music duo based out of Minneapolis, Minnesota. The Duchess and the Jeweller (1938) is a short story by Virginia Woolf. Me! Orlando: A Biography is a novel by Virginia Woolf, first published on 11 October 1928. Moments of Being is a collection of posthumously-published autobiographical essays by Virginia Woolf. Freshwater is a two-act chamber opera composed by Andy Vores, based on the 1929 comic play by Virginia Woolf. Pamela L. Caughie is a professor and graduate program director in the English Department at Loyola University of Chicago. The Mark on the Wall is the first published story by Virginia Woolf. Rev Dr Jane de Gay is a British academic and lecturer who has earned a reputation as an expert on the life and works of Virginia Woolf." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa142", + "input": { + "question": "Both Truth in Science and Discovery embrace what campaign?", + "context": "Truth Initiative (formerly the American Legacy Foundation or Legacy) is a nonprofit tobacco control organization dedicated to achieving a culture where all youth and young adults reject tobacco. Truth in Science is a United Kingdom-based creationist organization which promotes the Discovery Institute's Teach the Controversy campaign, which it uses to try to get pseudoscientific intelligent design creationism taught alongside evolution in school science lessons. The Last Embrace is the final release by Spirit Caravan. Curiosity is an American documentary television series that premiered on August 7, 2011, on the Discovery Channel. Truth (stylized as truth) is a national campaign aimed at curbing youth smoking in the United States. An unforgiving sun, a parched earth, and a failed economy have left a small Texas town desolate. The Discovery Museum and Planetarium is a hands-on science museum in Bridgeport, Connecticut, that serves as both a tourist destination and an educational resource for area schools. Discovery Networks Benelux is a branch of Discovery Networks International responsible for channels in the Netherlands and Belgium. Every Voice is an American nonprofit, nonpartisan liberal political advocacy organization. Extrema formed in 1986 in Milan." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa226", + "input": { + "question": "What is the county seat of the county where East Lempster, New Hampshire is located?", + "context": "Miner Memorial Library is the public library of Lempster, New Hampshire, located at 3 Second New Hampshire Turnpike. Dover is a city in Strafford County, New Hampshire, United States. Carroll County is a county located in the state of New Hampshire, in the United States. Hampden County is a non-governmental county located in the Pioneer Valley of the state of Massachusetts, in the United States. Woodsville is a census-designated place (CDP) in the town of Haverhill in Grafton County, New Hampshire, U.S., along the Connecticut River at the mouth of the Ammonoosuc River. Lempster is a town in Sullivan County, New Hampshire, United States. Essex County is a county in the northeastern part of the U.S. state of Vermont. The Gardnerville Branch Jail is a historic jail located at 1440 Courthouse St. in Gardnerville, Nevada. Steven Steve Smith (born June 23, 1964) is a New Hampshire politician and a member of the New Hampshire House of Representatives representing Sullivan County District 11, which includes the towns of Acworth, Charlestown, Goshen, Langdon, Lempster, and Washington. East Lempster is an unincorporated community in the town of Lempster in Sullivan County, New Hampshire, United States." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa329", + "input": { + "question": "The Livesey Hal War Memorial commemorates the fallen of which war, that had over 60 million casualties?", + "context": "The Tower Hill Memorial is a Commonwealth War Graves Commission war memorial on the south side of Trinity Square Gardens, in London, England. The Rainham War Memorial commemorates soldiers killed in both World Wars as well as civilian casualties of World War II. The Freetown Memorial is a Commonwealth War Graves Commission war memorial located outside the Secretariate Building in Freetown, Sierra Leone. The Monmouth War Memorial commemorates the Monmouth fallen of the First and Second World Wars. The Arras Flying Services Memorial Commonwealth War Graves Commission war memorial in the Faubourg d'Amiens Cemetery, Arras, France. The Livesey Hall War Memorial commemorates the fallen of World War I and World War II who had been employed by the South Suburban Gas Company of London. The Portsmouth Naval Memorial, sometimes known as Southsea Naval Memorial, is a war memorial in Portsmouth, Hampshire, England, on Southsea Common beside Clarence Esplanade, between Clarence Pier and Southsea Castle. The Masni\u00e8res Newfoundland Memorial is a Dominion of Newfoundland war memorial that commemorates the actions of the Royal Newfoundland Regiment during the First Battle of Cambrai, of World War I. The War Memorial in Hanoi is located across the Ba Dinh Square, across the Ho Chi Minh Mausoleum and close to Hanoi Citadel. The Alamein Memorial is a Commonwealth War Graves Commission war memorial in the El Alamein War Cemetery, El Alamein, Egypt." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa189", + "input": { + "question": "The battle in which Giuseppe Arimondi lost his life secured what for Ethiopia?", + "context": "Ethiopia is a landlocked sovereign country located in the Horn of Africa. P'ent'ay (from Amharic: , also transliterated as Pentay or Pente) is an Amharic and Tigrinya language term for a Christian of a Protestant denomination, widely used in Ethiopia and among Ethiopians and Eritreans living abroad. Herbert S. Lewis (born May 8, 1934) is Professor Emeritus of Anthropology at the University of Wisconsin-Madison, where he taught from 1963 to 1998. The Second Battle of Agordat was fought in late December 1893, between Italian colonial troops and Mahdists from the Sudan. The Treaty of Addis Ababa, signed 23 October 1896, formally ended the First Italo\u2013Ethiopian War on terms mostly favorable to Ethiopia. Ethiopia\u2013Japan relations are the international relations between Ethiopia and Japan. The First Italo-Ethiopian War was fought between Italy and Ethiopia from 1895 to 1896. The Battle of Adwa (Amharic: \u12a0\u12f5\u12cb; Amharic translated: Adowa, or sometimes by the Italian name Adua) was fought on 2 March 1896/Yekatit 23, 1889 according to Ethiopian calendar between the Ethiopian Empire and the Kingdom of Italy near the town of Adwa, Ethiopia, in Tigray. Giuseppe Edoardo Arimondi, OSML, OMS, OCI (Savigliano, 26 April 1846 \u2013 Adwa, 1 March 1896) was an Italian general, mostly known for his role during the First Italo-Ethiopian War. Saint Ephigenia of Ethiopia or Iphigenia of Ethiopia (Spanish: Efig\u00eania ; Portuguese: Ifig\u00eania ; French: Iphig\u00e9nie ; ), also called Iphigenia of Abyssinia (1st century), is a folk saint whose life is told in the Golden Legend as a virgin converted to Christianity and then consecrated to God by St. Matthew the Apostle, who was spreading the Gospel to the region of Ethiopia, which in this case is understood to be located in the regions south of the Caspian Sea, either in one of the provinces of Mesopotamia (Assyria and Babylon), or in Ancient Armenia (Colchis)." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa368", + "input": { + "question": "What is the middle name of the actress who plays Bobbi Bacha in Suburban Madness?", + "context": "Marion Christopher Barry was born in June 1980 to Marion Barry and Barry's third wife, Effi Slaughter Barry. Christopher Funk is an American musician and multi-instrumentalist best known as a member of the Portland, Oregon, indie rock band The Decemberists. Jeff Strabone is a Brooklyn-based American scholar, political activist and civic leader. Bobbi Bacha is a Texas Private Investigator portrayed in 2004 TV Sony Pictures Movie Suburban Madness played by actress Sela Ward. Suburban Madness is an American crime drama television film, based on a true story, starring Sela Ward as PI Bobbi Bacha of Blue Moon Investigations. Latvian names, like in most European cultures, consist of two main elements: the given name (v\u0101rds) followed by family name (uzv\u0101rds). In several cultures, people's names usually include one or more names in addition to the portion that is usually considered adequate to identify them. Barend or (somewhat dated spelling) Barent is a Dutch male given name and occasional middle name. Singh is a title, middle name or surname, which originated in India. Milhouse Mussolini van Houten is a fictional character featured in the animated television series The Simpsons, voiced by Pamela Hayden, and created by Matt Groening who named the character after President Richard Nixon's middle name." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa435", + "input": { + "question": "Josey Scott and Ian Watkins were both promising musicians. Which of these talented men was incarcerated, impacting his career with a rock band?", + "context": "In It to Win It is the eighth studio album by American rock band Saliva. We Bring an Arsenal was supposed to be the second single from Weapons, the fifth studio album by Welsh alternative rock band Lostprophets, planned to be released 4 June 2012. Under Your Skin is the seventh studio album by American rock band Saliva. Josey Scott (born Joseph Scott Sappington; May 3, 1972) is the former lead vocalist of the rock band Saliva. For He's a Jolly Good Felon is the third single from the album The Betrayed, the fourth album by Welsh alternative rock band Lostprophets. Always is the first single off the album Back into Your System by the rock band Saliva with lead vocalist Josey Scott. Family Reunion is the first single from Saliva's sixth studio album, Cinco Diablo. Lostprophets were a Welsh rock band from Pontypridd, Wales formed in 1997. Where We Belong is the second single from the album The Betrayed, the fourth studio album by Welsh alternative rock band Lostprophets. Shinobi vs. Dragon Ninja is a song by Welsh rock band Lostprophets." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa177", + "input": { + "question": "Hayden is a singer-songwriter from Canada, but where does Buck-Tick hail from?", + "context": "Skyscraper National Park is the third album by Canadian singer-songwriter Hayden. Atsushi Sakurai (\u6afb\u4e95 \u6566\u53f8 , Sakurai Atsushi , born March 7, 1966 in Fujioka, Gunma) is a Japanese musician and singer-songwriter. Dr. Frank J. Hayden Secondary School , is located in the northern area of Burlington, Ontario, Canada, at 3040 Tim Dobbie Drive. The Closer I Get is the second album by Canadian singer-songwriter Hayden. Mild and Hazy is a 7 vinyl single by Canadian singer-songwriter Hayden. Kyo (\u4eac , Ky\u014d ) is a Japanese musician, poet and singer-songwriter. Dewey Beard or Was\u00fa M\u00e1za (Iron Hail, 1858\u20131955) was a Minneconjou Lakota who fought in the Battle of Little Bighorn as a teenager. Masami Tsuchiya is a Japanese singer-songwriter and musician, coming to prominence in the late 1970s as the lead vocalist and guitarist in the group Ippu-Do. Hailstorm Alley is a colloquial term referring to an area of south and central Alberta, Canada where hail storms are frequently produced. The Alberta Hail Project was a research project sponsored by the Alberta Research Council and Environment Canada to study hailstorm physics and dynamics in order to design and test means for suppressing hail." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa158", + "input": { + "question": "What year did Guns N Roses perform a promo for a movie starring Arnold Schwarzenegger as a former New York Police detective?", + "context": "Guns N' Roses is an American hard rock band formed in Los Angeles, California in 1985 by members of Hollywood Rose and L.A. Guns. Get Christie Love! End of Days is a 1999 American fantasy action horror thriller film directed by Peter Hyams and starring Arnold Schwarzenegger, Gabriel Byrne, Robin Tunney, Kevin Pollak, Rod Steiger, CCH Pounder, and Udo Kier. Steven Adler (born Michael Coletti; January 22, 1965) is an American musician. Faction With Jason Ellis is an uncensored hard rock, punk, hip hop, and heavy metal music mixed channel on Siruis XM Satellite Radio. Hammerjacks Concert Hall and Nightclub was a large concert hall in downtown Baltimore through the 1980s and into the 1990s owned by Louis J. Principio III The club attracted many big-name national acts, but also showcased many rising stars in the music world. Born in 1973, and relaunched in 2010 as a national website, The Recycler classified newspaper was one of the first online classified sites on the web and helped to launch the careers of many Los Angeles bands including Guns N Roses, Metallica, and Motley Crue. Last Action Hero is a 1993 American fantasy action comedy film directed and produced by John McTiernan. True Lies is a 1994 American action film written, co-produced and directed by James Cameron, starring Arnold Schwarzenegger, Jamie Lee Curtis, Tom Arnold, Art Malik, Tia Carrere, Bill Paxton, Eliza Dushku, Grant Heslov and Charlton Heston. Arnold Schwarzenegger is an actor who has appeared in over 30 films, and has also ventured into directing and producing." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa132", + "input": { + "question": "Alice David is the voice of Lara Croft in a video game developed by which company ?", + "context": "Tomb Raider III: Adventures of Lara Croft, or simply Tomb Raider III, is an action-adventure video game developed by Core Design and published by Eidos Interactive. Lara Croft Go is a 2015 turn-based puzzle video game in the Tomb Raider series. Lara Croft is a fictional character and the main protagonist of the Square Enix (previously Eidos Interactive) video game franchise Tomb Raider. Lara Croft and the Temple of Osiris is an action-adventure game developed by Crystal Dynamics and published by Square Enix for Microsoft Windows, PlayStation 4 and Xbox One. Alice David (born 22 March 1987) is a French actress, known for the television series Bref (2011) and the film Babysitting (2014). Lara Croft and the Guardian of Light is an action-adventure game developed by Crystal Dynamics and published by Square Enix for Microsoft Windows, PlayStation 3, Xbox 360, Android and, iOS through digital distribution. Toby Gard (born 1972 in Chelmsford, Essex) is an English computer game character designer and consultant, notably being part of the team that created fictional female British archaeologist Lara Croft. Lara Croft: Tomb Raider (also known as simply Tomb Raider) is a 2001 action-adventure film based on the popular Tomb Raider video game series featuring the character Lara Croft portrayed by Angelina Jolie. Tomb Raider, also known as Lara Croft: Tomb Raider between 2001 and 2007, is a media franchise that originated with an action-adventure video game series created by British gaming company Core Design. Tomb Raider is a media franchise consisting of action-adventure games, comic books, novels, theme park rides, and movies, centring on the adventures of the female fictional British archaeologist Lara Croft." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa441", + "input": { + "question": "Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?", + "context": "Esma Sultan is the name of three daughters of three Ottoman Sultans: Esma Sultan (17 July 1778 \u2013 4 June 1848) was an Ottoman princess, daughter of Sultan Abdul Hamid I, sister of Sultan Mustafa IV and Sultan Mahmud II. The Laleli Mosque (Turkish: Laleli Camii, or Tulip Mosque ) is an 18th-century Ottoman imperial mosque located in Laleli, Fatih, Istanbul, Turkey. Gevheri Kad\u0131n (8 July 1856\u00a0\u2013 6 September 1884) was the fifth wife of 32nd Ottoman Sultan Abd\u00fclaziz. Esma Sultan (14 March 1726 \u2013 13 August 1788) was an Ottoman princess, daughter of Sultan Ahmed III and his consort Zeynep Kad\u0131n. The Great Mosque of Algiers (Arabic: \u0627\u0644\u062c\u0627\u0645\u0639 \u0627\u0644\u0643\u0628\u064a\u0631\u200e \u200e , Jemaa Kebir) or \u201cDjama\u2019a al-Kebir\u201d (meaning Great Mosque) is a mosque in Algiers, Algeria, located very close to Algiers Harbor. The Sultan Ahmed Mosque or Sultan Ahmet Mosque (Turkish: Sultan Ahmet Camii ) is a historic mosque located in Istanbul, Turkey. Esma Sultan (21 March 1873 \u2013 7 May 1899) was an Ottoman princess, the daughter of Sultan Abd\u00fclaziz and his wife Gevheri Kad\u0131n, herself the daughter of Salih Bey Svatnba. K\u00fc\u00e7\u00fck H\u00fcseyin Pasha (1757 \u2013 7 December 1803), also known as Tayazade Damat K\u00fc\u00e7\u00fck H\u00fcseyin Pasha, was an Ottoman statesman and admiral who was Kapudan Pasha (Grand Admiral of the Ottoman Navy) from 11 March 1792 to 7 December 1803. The Esma Sultan Mansion (Turkish: Esma Sultan Yal\u0131s\u0131 ), a historical yal\u0131 (English: waterside mansion ) located at Bosphorus in Ortak\u00f6y neighborhood of Istanbul, Turkey and named after its original owner Esma Sultan, is used today as a cultural center after being redeveloped." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa078", + "input": { + "question": "What nationality were social anthropologists Alfred Gell and Edmund Leach?", + "context": "Network Analysis and Ethnographic Problems: Process Models of a Turkish Nomad Clan is an anthropological and complexity science book by social anthropologists Douglas R. White, University of California, Irvine, and Ulla Johansen of the University of Cologne. Participant observation is one type of data collection method typically used in qualitative research. Social Anthropology/Anthropologie Sociale is a quarterly academic journal published since 2007 by Wiley-Blackwell on behalf of the European Association of Social Anthropologists. Muted group theory (MGT) is developed by social anthropologists Edwin Ardener and Shirley Ardener in 1975. Symbolic culture is the ability to learn and transmit behavioural traditions from one generation to the next by the invention of things that exist entirely in the symbolic realm. The Association of Social Anthropologists of the UK and Commonwealth, is a learned society in the United Kingdom dedicated to promoting the academic discipline of psychosocial studies. Aleksandar Bo\u0161kovi\u0107 is a social anthropologist from former Yugoslavia, who published twelve books and several hundred articles and book reviews on history and theory of anthropology, from a transactionalist and comparative perspective. Coral Gardens and Their Magic, properly Coral Gardens and Their Magic: A Study of the Methods of Tilling the Soil and of Agricultural Rites in the Trobriand Islands, is the final book in anthropologist Bronis\u0142aw Malinowski's ethnographic trilogy on the lives of the Trobriand Islanders. Alfred Antony Francis Gell, {'1': , '2': , '3': , '4': } ( ; June 12, 1945 \u2013 January 28, 1997) was a British social anthropologist whose most influential work concerned art, language, symbolism and ritual. Thomas Hylland Eriksen (born February 6, 1962) is a Norwegian anthropologist." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa383", + "input": { + "question": "Which American film director hosted the 18th Independent Spirit Awards in 2002?", + "context": "Mihai M\u0103laimare Jr. (born 1975) is a Romanian cinematographer. The Independent Spirit Award for Best Editing is one of the annual awards given by Independent Spirit Awards, a non-profit organization dedicated to independent film and independent filmmakers. The 32nd Independent Spirit Awards (2017) nominees were announced by Film Independent, the nonprofit arts organization that produces them, on November 22, 2016. Silent Light (Plautdietsch: Stellet Licht; Spanish: Luz silenciosa ) is a 2007 film written and directed by Carlos Reygadas. The Independent Spirit Award for Best Cinematography is one of the annual awards given by Independent Spirit Awards, a non-profit organization dedicated to independent film and independent filmmakers. The Independent Spirit Award for Best Film (or Best Feature) is one of the annual Independent Spirit Awards. The 2012 Independent Spirit Awards was the 28th annual occasion of the Film Independent Spirit Awards. The Independent Spirit Award for Best First Feature is one of the annual Independent Spirit Awards. The Film Independent Spirit Awards (abbreviated Spirit Awards and originally known as the FINDIE or Friends of Independents Awards), founded in 1984, are awards dedicated to independent filmmakers. Neil N. LaBute (born March 19, 1963) is an American film director, screenwriter, playwright and actor." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa262", + "input": { + "question": "Suicide's 1977 released album features a song based on what brand's comic character?", + "context": "Levolution is the second studio album by Australian rock band Juke Kartel, and the first American released album. A Boy in a Man's World is the second studio album by Mucky Pup. Deceit is an original novel written by Peter Darvill-Evans and based on the long-running British science fiction television series Doctor Who. In My Country There Is Problem, also known as Throw the Jew Down the Well after the song's key line, is a song written by British comedian Sacha Baron Cohen for his comic character Borat Sagdiyev. Nagaram Marupakkam (English: The other side of the town ) is a 2010 Indian Tamil action film co-produced written and directed by Sundar C., who himself plays the lead role. Impossible Dream is Patty Griffin\u2019s fifth commercially released album, and fourth studio album. A Week of Garfield (\u30ac\u30fc\u30d5\u30a3\u30fc\u30eb\u30c9\u306e\u4e00\u9031\u9593 , G\u0101firudo no Isshukan ) is a 1989 Family Computer title based on the comic character Garfield. Children Running Through is Patty Griffin's sixth commercially released album, and fifth studio album. Music of Hair is Andrew Bird's first released album. Kiss is the second studio album by Canadian recording artist Carly Rae Jepsen." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa286", + "input": { + "question": "The author of Sexual Politics attended which British University?", + "context": "Harris George Mirkin (24 August 1936 \u2013 30 May 2013) was a political science professor who aroused controversy with an essay, The Pattern of Sexual Politics, published in the Journal of Homosexuality. Contract With the World is a 1980 novel written by Canadian author Jane Rule. Susannah Susie Bright, also known as Susie Sexpert (born March 25, 1958), is an American feminist, author, journalist, critic, editor, publisher, producer, and performer, often on the subject of sexual politics and sexuality. The Au Pairs were a British post-punk band that formed in Birmingham in 1978 and continued until 1983. Laura Kipnis (born 1956) is an American cultural critic and essayist. C. V. Balakrishnan (Malayalam: \u0d38\u0d3f. The British University Hurling Championship is an annual Hurling competition held for universities in Great Britain. Carol J. Adams (born 1951) is an American writer, feminist, and animal rights advocate. Shannon Bell (born 5 July 1955) is a Canadian performance philosopher who lives and writes philosophy-in-action, experimental philosophy. Katherine Murray Millett (September 14, 1934 \u2013 September 6, 2017) was an American feminist writer, educator, artist, and activist." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa033", + "input": { + "question": "Are Freakonomics and In the Realm of the Hackers both American documentaries?", + "context": "Shayne Workman (born December 5, 1978) is an American author, actor, theatre director and stage manager. Hackers is a 1995 American crime film directed by Iain Softley and starring Jonny Lee Miller, Angelina Jolie, Renoly Santiago, Matthew Lillard, Jesse Bradford, Lorraine Bracco, and Fisher Stevens. Robin Goldstein is an American author, food and wine critic, and economics pundit. The Psycho Realm is an American hip hop group started in 1989 by brown man & brothers Sick Jacken (Joaquin Gonzalez) and Big Duke (Gustavo Gonzalez) from the Downtown, Pico-Union area of Los Angeles. Jason Scott Jay Leiderman (born April 12, 1971) is an American criminal defense lawyer based in Ventura, California. In The Realm of the Hackers is a 2003 Australian documentary directed by Kevin Anderson about the prominent hacker community, centered in Melbourne, Australia in the late 1980s until early 1990. Freakonomics Radio is an American public radio program which discusses socioeconomic issues for a general audience. Peter W. Smith (February 23, 1936 \u2013 May 14, 2017) was an American investment banker from Chicago. Heidi Ewing is a director, producer, and writer of documentary films. Freakonomics: The Movie is a 2010 American documentary film based on the 2005 book Freakonomics: A Rogue Economist Explores the Hidden Side of Everything by economist Steven D. Levitt and writer Stephen J. Dubner." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa392", + "input": { + "question": "Where did the descendants of the group of black Indians associated with the Seminole people settle?", + "context": "The Muscogee language (Mvskoke in Muscogee), also known as Creek, Seminole, Mask\u00f3k\u00ee or Muskogee, is a Muskogean language spoken by Muscogee (Creek) and Seminole people, primarily in the U.S. states of Oklahoma and Florida. Black Indians are people of mixed African-American and Native American heritage, who have strong ties to Native American culture. The Seminole are a Native American people originally from Florida. The history of draining and development of the Everglades dates back to the 19th century. Seminole music is the music of the Seminole people, an indigenous people of the Americas who formed in Florida in the 18th century. Seminole County is a county located in the U.S. state of Oklahoma. The Battle of Jupiter Inlet occurred on January 15, 1838, between the Seminole Indians - Seminole Negro and the United States Navy. The Seminole Nation of Oklahoma is a federally recognized Native American tribe based in the U.S. state of Oklahoma. Dhoolpet is one of the old suburbs in Hyderabad, India. The Black Seminoles are black Indians associated with the Seminole people in Florida and Oklahoma." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa128", + "input": { + "question": "Where is the Bubblegum Alley, that is similar to Gum Wall, located in California?", + "context": "The Philadelphia Baseball Wall of Fame is a collection of plaques, mounted on a brick wall in the Ashburn Alley section of Citizens Bank Park, the ballpark of the Philadelphia Phillies. The Louden Monorail System in the Auto Repair Shop, also known as McGuire Motor Company and Crandall's Electric Service, is a historic structure located in Fairfield, Iowa, United States. The Market Theater Gum Wall is a brick wall covered in used chewing gum, in an alleyway in downtown Seattle. The Up Your Alley Fair, most commonly referred to by locals as Dore Alley Fair or simply Dore Alley is a leather and fetish event held in San Francisco, California on the last Sunday of July on Folsom Street between 9th and 10th Streets and on Dore Street from Howard Street to half a block southeast of Folsom Street. Lower Louviers and Chicken Alley, also known as Louviers and Duck Street, is a historic home located near Wilmington, New Castle County, Delaware. Bubblegum Alley is a tourist attraction in downtown San Luis Obispo, California, known for its accumulation of used bubble gum on the walls of an alley. Ouch! The Old US 67 Rest Area is a historic roadside rest area in rural Clark County, Arkansas. The Digital Media Factory is a multi-media design, production and post-production facility founded by Marty Collins and wife, Ginny Mitchell along with partners Ned Hearn and Brian Critchlow. Hollywood Star Lanes was a 32-lane bowling alley located on Santa Monica Boulevard in Los Angeles, California." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa449", + "input": { + "question": "What screenwriter with credits for \"Evolution\" co-wrote a film starring Nicolas Cage and T\u00e9a Leoni?", + "context": "Gone in 60 Seconds is a 2000 American action heist film, starring Nicolas Cage, Angelina Jolie, Giovanni Ribisi, Christopher Eccleston, Robert Duvall, Vinnie Jones, and Will Patton. Deadfall is a 1993 crime drama film directed by Christopher Coppola. Time to Kill (Italian: Tempo di uccidere ) is a 1989 Italian drama film starring Nicolas Cage and Italian actors Ricky Tognazzi and Giancarlo Giannini . The Family Man is a 2000 American romantic comedy-drama film directed by Brett Ratner, written by David Diamond and David Weissman, and starring Nicolas Cage and T\u00e9a Leoni. Drive Angry is a 2011 American fantasy action film starring Nicolas Cage and Amber Heard, and directed by Patrick Lussier. Season of the Witch is a 2011 American historical fantasy adventure film starring Nicolas Cage and Ron Perlman and directed by Dominic Sena with extensive uncredited reshoots by Brett Ratner. Bangkok Dangerous is a 2008 crime thriller film written and directed by the Pang Brothers, and starring Nicolas Cage. City of Angels is a 1998 American romantic fantasy film directed by Brad Silberling and starring Nicolas Cage and Meg Ryan. It Could Happen to You is a 1994 American romantic comedy-drama film starring Nicolas Cage and Bridget Fonda. Ungod is the debut album released in 1994 on Columbia Records by the American industrial rock band Stabbing Westward." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa147", + "input": { + "question": "What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?", + "context": "A Kiss for Corliss is a 1949 American comedy film directed by Richard Wallace and written by Howard Dimsdale. The post of Lord High Treasurer or Lord Treasurer was an English government position and has been a British government position since the Acts of Union of 1707. Meet Corliss Archer is an American television sitcom that aired on CBS (July 13, 1951 - August 10, 1951) and in syndication via the Ziv Company from April to December 1954. The Village Accountant (variously known as Patwari, Talati, Patel, Karnam, Adhikari, Shanbogaru,Patnaik etc.) is an administrative government position found in rural parts of the Indian sub-continent. Joseph Kalite (died 24 January 2014) was a Central African politician. Charles Craft (May 9, 1902 \u2013 September 19, 1968) was an English-born American film and television editor. Meet Corliss Archer, a program from radio's Golden Age, ran from January 7, 1943 to September 30, 1956. Janet Marie Waldo (February 4, 1920 \u2013 June 12, 2016) was an American radio and voice actress. Kiss and Tell is a 1945 American comedy film starring then 17-year-old Shirley Temple as Corliss Archer. The office of Secretary of State for Constitutional Affairs was a British Government position, created in 2003." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa266", + "input": { + "question": "What major truck road is located in Backford Cross?", + "context": "U.S. Route 19 Truck (US 19 Truck) is a truck route of U.S. Route 19 (US 19) located in Western Pennsylvania in the Pittsburgh Metro Area that has a length of 19 mi . Pureland Industrial Complex is a 3000 acre industrial park located in Logan Township in Gloucester County, New Jersey, United States. The Portland and Southwestern Railroad Tunnel, also known as the Nehalem Divide Railroad Tunnel, is an abandoned railroad tunnel near Scappoose, Oregon, United States, that is listed on the National Register of Historic Places. Al Haj FAW motors is sole distributor and assembler of FAW vehicles in Pakistan. A truck stop, also known as a transport cafe in the United Kingdom and as a travel center by major chains in the United States, is a commercial facility which provides refuelling, rest (parking), and often ready-made food and other services to motorists and truck drivers. Strawberry Park and Strawberry Fields are suburbs in the town of Ellesmere Port, Cheshire West and Chester. Param (Hindi: \u092a\u0930\u092e ) is a village in Rampur district in the Indian state of Uttar Pradesh. The A5117 is a road in Cheshire, England. U.S. Route 287 is a north\u2013south United States highway. Backford Cross is a village on the Wirral Peninsula, Cheshire, England." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa040", + "input": { + "question": "Which dog's ancestors include Gordon and Irish Setters: the Manchester Terrier or the Scotch Collie?", + "context": "The Scotch Collie is a landrace breed of dog which originated from the highland regions of Scotland. The collie is a distinctive type of herding dog, including many related landraces and standardised breeds. The viol , viola da gamba ] , or (informally) gamba, is any one of a family of bowed, fretted and stringed instruments with hollow wooden bodies and pegboxes where the tension on the strings can be increased or decreased to adjust the pitch of each of the strings. The Toy Manchester Terrier is a breed of dog, categorized as a terrier. The Irish Red and White Setter () is a breed of dog, more specifically a setter. The English Setter is a medium size breed of dog. The Russian Toy (also known as the Russian Toy Terrier, and in Russia as the Russkiy Toy, Toychik,Russian: \u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u0442\u043e\u0439, \u0422\u043e\u0439\u0447\u0438\u043a ) is a very small breed of dog originally bred in Russia from the English Toy Terrier which is known today as the Manchester Terrier. The Teddy Roosevelt Terrier is a small to medium-sized American hunting terrier. A Feist is a small hunting dog, descended from the terriers brought over to the United States by English miners and other working class immigrants. Florence Nagle (26 October 1894\u00a0\u2013 30 October 1988) was a trainer and breeder of racehorses, a breeder of pedigree dogs, and an active feminist." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa483", + "input": { + "question": "A medieval fortress in Dirleton, East Lothian, Scotland borders on the south side of what coastal area?", + "context": "The Scottish Borders (Scots: The Mairches , The Marches) is one of 32 council areas of Scotland. The Royal Burgh of Haddington (Scots: Haidintoun ) is a town in East Lothian, Scotland. Dirleton Kirk is situated to the north of the village green in Dirleton, in East Lothian, Scotland. Lothian and Borders is an area in south-east Scotland consisting of the East Lothian, City of Edinburgh, Midlothian, West Lothian areas (collectively known as Lothian) along with the Scottish Borders. Dirleton (Scottish Gaelic 'Duighreach') is a village and parish in East Lothian, Scotland approximately 20 mi east of Edinburgh on the A198. Yellowcraig, less commonly known as Broad Sands Bay, is a coastal area of forest, beach and grassland in East Lothian, south-east Scotland. Lord Haliburton of Dirleton (or Dirletoun) was a Scottish Lordship of Parliament created circa. John David Home Robertson (born 5 December 1948) is a Labour politician in Scotland. Dirleton Castle is a medieval fortress in the village of Dirleton, East Lothian, Scotland. St. Mary's Priory, North Berwick, was a monastery of nuns in medieval East Lothian, Scotland." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa453", + "input": { + "question": "Brown State Fishing Lake is in a country that has a population of how many inhabitants ?", + "context": "Fishing Lake is a lake in the Canadian province of Saskatchewan. Neosho State Fishing Lake, also known as Lake McKinley is located in the state of Kansas. Higgins Lake is a large recreational and fishing lake in Roscommon County, in the U.S. state of Michigan. Shawnee State Fishing Lake is approximately eight miles northwest of Topeka, Kansas, and is in northern Shawnee County, Kansas. Brown State Fishing Lake (sometimes also known as Brown State Fishing Lake And Wildlife Area) is a protected area in Brown County, Kansas in the United States. Osage State Fishing Lake is located in northern Osage County, Kansas. Higgins Lake is a small unincorporated community along the southern and western shores of Higgins Lake, a recreational and fishing lake in Roscommon County, in the U.S. state of Michigan. Wilson Lake is located in Iron County, outside of Wilson Creek Flowage. Narrow Hills Provincial Park is provincial park in Saskatchewan, Canada. Commanda Lake (or Lake Commanda) is a lake in central Ontario, Canada." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa193", + "input": { + "question": "What type of forum did a former Soviet statesman initiate?", + "context": "Ephraim Markovich Sklyansky (Russian: \u042d\u0444\u0440\u0430\u0438\u043c \u041c\u0430\u0440\u043a\u043e\u0432\u0438\u0447 \u0421\u043a\u043b\u044f\u043d\u0441\u043a\u0438\u0439 ) (August 12\u00a0[O.S. July 31]\u00a01892 - August 27, 1925) was a Soviet statesman. Mikhail Sergeyevich Gorbachev, ( ; Russian: \u041c\u0438\u0445\u0430\u0438\u0301\u043b \u0421\u0435\u0440\u0433\u0435\u0301\u0435\u0432\u0438\u0447 \u0413\u043e\u0440\u0431\u0430\u0447\u0451\u0432 ; ] ; born 2 March 1931) is a former Soviet statesman. Nikolai Viktorovich Podgorny (Russian: \u041d\u0438\u043a\u043e\u043b\u0430\u0301\u0439 \u0412\u0438\u0301\u043a\u0442\u043e\u0440\u043e\u0432\u0438\u0447 \u041f\u043e\u0434\u0433\u043e\u0301\u0440\u043d\u044b\u0439 ; ] , Ukrainian: \u041c\u0438\u043a\u043e\u043b\u0430 \u0412\u0456\u043a\u0442\u043e\u0440\u043e\u0432\u0438\u0447 \u041f\u0456\u0434\u0433\u043e\u0440\u043d\u0438\u0439 ; 18 February\u00a0[O.S. 5 February]\u00a01903 \u2013 11 January 1983) was a Soviet statesman during the Cold War. David Jonathan Waksberg, born December 14, 1956 in New York City, was a leading activist in the Soviet Jewry Movement during the 1980s and early 1990s. The Feliks Dzerzhinskiy (Russian: \u0424\u0435\u043b\u0438\u043a\u0441 \u0414\u0437\u0435\u0440\u0436\u0438\u043d\u0441\u043a\u0438\u0439 ) is a Valerian Kuybyshev-class (92-016, OL400) Soviet/Russian river cruise ship, cruising in the Volga basin. Andrei Pavlovich Kirilenko (Russian: \u0410\u043d\u0434\u0440\u0435\u0301\u0439 \u041f\u0430\u0301\u0432\u043b\u043e\u0432\u0438\u0447 \u041a\u0438\u0440\u0438\u043b\u0435\u0301\u043d\u043a\u043e ; ] ; 8 September\u00a0[O.S. 26 August]\u00a01906 \u2013 12 May 1990) was a Soviet statesman from the start to the end of the Cold War. Anastas Ivanovich Mikoyan ; 25 November 1895 \u2013 21 October 1978) was an Old Bolshevik and Soviet statesman during the mandates of Lenin, Stalin, Khrushchev, and Brezhnev. MS Excelsior Neptune (originally, the Feliks Dzerzhinskiy) was an ocean liner owned by the Soviet Union's Black Sea Shipping Company. Sergo Anastasi Mikoyan (Armenian: \u054d\u0565\u0580\u0563\u0578 \u0531\u0576\u0561\u057d\u057f\u0561\u057d\u056b \u0544\u056b\u056f\u0578\u0575\u0561\u0576 ; Russian: \u0421\u0435\u0440\u0433o \u0410\u043d\u0430\u0441\u0442\u0430\u0301\u0441\u043e\u0432\u0438\u0447 \u041c\u0438\u043a\u043e\u044f\u043d ; June 5, 1929 \u2013 March 7, 2010) was one of the Soviet Union's leading historians who specialized on the foreign policies of the Soviet Union and the United States in Latin America. Mikhail Andreyevich Suslov (Russian: \u041c\u0438\u0445\u0430\u0438\u0301\u043b \u0410\u043d\u0434\u0440\u0435\u0301\u0435\u0432\u0438\u0447 \u0421\u0443\u0301\u0441\u043b\u043e\u0432 ; 21 November\u00a0[O.S. 8 November]\u00a01902 25 January 1982) was a Soviet statesman during the Cold War." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa284", + "input": { + "question": "For what type of work is the production company for The Year Without a Santa Claus best known?", + "context": "Santa Claus Is a Black Man is a Christmas song by record producer and songwriter Teddy Vann, performed by his daughter Akim Vann (billed as Akim) and his Teddy Vann Production Company for a 1973 single. Santa Claus is a 1898 British short silent drama film, directed by George Albert Smith, which features Santa Claus visiting a house on Christmas Eve. The Year Without a Santa Claus is a 90-minute 2006 live-action remake of the Rankin-Bass classic The Year Without a Santa Claus which premiered on NBC December 11, 2006. Motion pictures featuring Santa Claus abound and apparently constitute their own subgenre of the Christmas film genre. A Miser Brothers' Christmas is a stop motion spin-off special based on some of the characters from the 1974 Rankin-Bass special The Year Without a Santa Claus. Santa's Workshop is an amusement park that opened on June 16, 1956 in Cascade, Colorado, just west of Colorado Springs at the base of Pikes Peak. The Year Without a Santa Claus is a 1974 Christmas stop motion animated television special produced by Rankin/Bass Productions. Santa Claus: The Movie (known on-screen as simply Santa Claus) is a 1985 British-American Christmas film starring Dudley Moore, John Lithgow, and David Huddleston in the title role. Larry Wilson is an American film producer and screenwriter. Jonathan Meath (born September 16, 1955) is an American TV producer based in Boston who is notable for children's television production." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa227", + "input": { + "question": "The Album Against the Wind was the 11th Album of a Rock singer Robert C Seger born may 6 1945. What was the Rock singers stage name ?", + "context": "Heaven Knows is a rock song performed by English rock singer Robert Plant. 10 H.M. (Short for 10 Hronia Mazi, Greek: 10 \u03a7\u03c1\u03cc\u03bd\u03b9\u03b1 \u039c\u03b1\u03b6\u03af; English: 10 Years Together) is an album released by Greek singer Despina Vandi starting on December 6, 2007. Mark Britten is an American comedian from Arlington, Texas, whose chosen stage name is The Chinaman. Stranger in Town is the tenth studio album by American rock singer Bob Seger and his second with the Silver Bullet Band, released by Capitol Records in May 1978 (see 1978 in music). Gary Francis Caine Cherone ( ; born July 26, 1961) is an American rock singer and songwriter. Ride Out is the seventeenth studio album by American rock singer\u2013songwriter Bob Seger. Robert Clark Seger ( , born May 6, 1945) is an American singer-songwriter, guitarist and pianist. The discography of Anggun consists of ten studio albums, two soundtrack albums, three greatest hits albums, seven single compilations, thirty-eight singles and twenty music videos. Freudiana was to be the 11th album by The Alan Parsons Project, but during its development, Eric Woolfson had creative differences with Alan Parsons, and decided to turn the album into a rock opera. Against the Wind is the eleventh album by American rock singer Bob Seger and his fourth with the Silver Bullet Band." + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Multilingual-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Multilingual-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e7843f31bd4faebc44cfd2c2a2852ea7c39b537b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Multilingual-Question-Answering/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Multilingual Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "mqa298", + "input": { + "question": "What's the Dutch word for \"bird\"?", + "context": "Both languages are still largely mutually intelligible, although this relation can in some fields (such as lexicon, spelling and grammar) be asymmetric, as it is easier for Dutch speakers to understand written Afrikaans than it is for Afrikaans speakers to understand written Dutch. Afrikaans is grammatically far less complex than Dutch, and vocabulary items are generally altered in a clearly patterned manner, e.g. vogel becomes vo\u00ebl (\"bird\") and regen becomes re\u00ebn (\"rain\"). In South Africa, the number of students following Dutch at university, is difficult to estimate, since the academic study of Afrikaans inevitably includes the study of Dutch. Elsewhere in the world, the number of people learning Dutch is relatively small." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa313", + "input": { + "question": "What does Mahayana mean?", + "context": "The Mahayana sutras often claim to articulate the Buddha's deeper, more advanced doctrines, reserved for those who follow the bodhisattva path. That path is explained as being built upon the motivation to liberate all living beings from unhappiness. Hence the name Mah\u0101y\u0101na (lit., the Great Vehicle)." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa247", + "input": { + "question": "\u00bfC\u00f3mo se llamaba el conflicto b\u00e9lico en el que el monitor Hu\u00e1scar fue importante?", + "context": "El monitor Hu\u00e1scar es un buque torreta del siglo XIX que tuvo una relevante participaci\u00f3n en la Guerra del Pac\u00edfico. Fue construido en el Reino Unido en 1864 por orden del gobierno peruano y sirvi\u00f3 en la Marina de Guerra de Per\u00fa hasta el 8 de octubre de 1879, cuando fue capturado por la escuadra chilena en el combate naval de Angamos. El Hu\u00e1scar sirvi\u00f3 activamente en la Armada de Chile hasta 1897, cuando fue dado de baja. Actualmente sirve como museo mar\u00edtimo flotante en el puerto chileno de Talcahuano, Regi\u00f3n del Biob\u00edo.\u200b Es el segundo blindado (acorazado) a flote m\u00e1s antiguo del mundo despu\u00e9s del HMS Warrior." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa485", + "input": { + "question": "In what type of organism will the offspring be a genetic copy or clone of the parent organism?", + "context": "The duplication and transmission of genetic material from one generation of cells to the next is the basis for molecular inheritance, and the link between the classical and molecular pictures of genes. Organisms inherit the characteristics of their parents because the cells of the offspring contain copies of the genes in their parents' cells. In asexually reproducing organisms, the offspring will be a genetic copy or clone of the parent organism. In sexually reproducing organisms, a specialized form of cell division called meiosis produces cells called gametes or germ cells that are haploid, or contain only one copy of each gene.:20.2 The gametes produced by females are called eggs or ova, and those produced by males are called sperm. Two gametes fuse to form a diploid fertilized egg, a single cell that has two sets of genes, with one copy of each gene from the mother and one from the father.:20" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa484", + "input": { + "question": "\u00bfQui\u00e9n se piensa que causan los huecos en las plumas de las golondrinas comunes?", + "context": "Depredadores y par\u00e1sitos \nLas golondrinas comunes (y otros paseriformes peque\u00f1os) a menudo presentan caracter\u00edsticos huecos en las plumas de las alas y la cola. Se sugiri\u00f3 que estos huecos ser\u00edan ocasionados por piojos aviares tales como Machaerilaemus malleus y Myrsidea rustica. Sin embargo, otros estudios apuntan a que podr\u00edan ser causados por ischn\u00f3ceros del g\u00e9nero Brueelia. Entre las especies de piojos de las que la golondrina com\u00fan es un hu\u00e9sped se encuentran Brueelia domestica y Philopterus microsomaticus. En Texas, Oeciacus vicarius, que a menudo infesta al avi\u00f3n roquero americano (Petrochelidon pyrrhonota), tambi\u00e9n ha sido descubierto sobre la golondrina com\u00fan." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa289", + "input": { + "question": "Qu\u00e8 volia promoure Ermessenda amb les donacions?", + "context": "Ermessenda va realitzar importants donacions a les esgl\u00e9sies de les di\u00f2cesis cat\u00f2liques, amb la finalitat de promoure la independ\u00e8ncia econ\u00f2mica d'aquestes institucions que en aquella \u00e8poca es trobaven en decad\u00e8ncia. En aquest temps, tamb\u00e9 era compet\u00e8ncia d'ella i del seu marit el nomenament dels principals c\u00e0rrecs eclesi\u00e0stics com els abats i els bisbes. A la mort del bisbe de Girona, Od\u00f3, abat del monestir de Sant Cugat del Vall\u00e8s l'any 1010, van fer \u00fas de la seva compet\u00e8ncia per a nomenar els principals c\u00e0rrecs eclesi\u00e0stics i aconseguir el nomenament de Pere Roger, germ\u00e0 petit d'Ermessenda, com a nou bisbe de la ciutat." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa144", + "input": { + "question": "What country is Cedar Rapids located in?", + "context": "In the United States, Minneapolis, Saint Paul, Columbus, San Diego, Seattle, Washington, D.C., Houston, Atlanta, Los Angeles, Portland, Denver, Nashville, Green Bay, Lewiston, Portland, Maine and Cedar Rapids have the largest Somali populations." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa564", + "input": { + "question": "What system was started in 2005 to deal with organic and ethically produced products?", + "context": "In addition to concerns over subsidies, the cotton industries of some countries are criticized for employing child labor and damaging workers' health by exposure to pesticides used in production. The Environmental Justice Foundation has campaigned against the prevalent use of forced child and adult labor in cotton production in Uzbekistan, the world's third largest cotton exporter. The international production and trade situation has led to \"fair trade\" cotton clothing and footwear, joining a rapidly growing market for organic clothing, fair fashion or \"ethical fashion\". The fair trade system was initiated in 2005 with producers from Cameroon, Mali and Senegal." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa502", + "input": { + "question": "Feia vent?", + "context": "-Gonta\u2026 gonta de llevant.\n-Vinga\u2026 Vinga!\u2026\n-Tomba! Tomba!\n-Amunt\u2026 que \u00e9s sa darrera corda!\nJa surten els calons i les pannes. Les surades es bre\u00e7olen damunt les ones que lluen amb la primera mirada del sol ixent.\nEn els cors de la gent de l'art, aleteja l'esperan\u00e7a, neix el desfici de veure \u00e7o que han hajat. Tots pugen i baixen de pressa per la platja, estirant amb coratge la xarxa amb els estrops i fent crits per a atiar els companys mentres la mestra s'acosta a cada respir.\n-Aneu baixant l'art.\n-Vinga! Amunt minyons!\n-Vinga, vinga que ja eixuguem!" + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa232", + "input": { + "question": "Qu\u00e8 podran mantenir els dos pa\u00efsos?", + "context": "Bielor\u00fassia i R\u00fassia han treballat per establir vincles m\u00e9s propers i, com a resultat, s'ha proposat la creaci\u00f3 de la Uni\u00f3 de R\u00fassia i Bielor\u00fassia (o Estat de la Uni\u00f3). Quan esdevingui una realitat, els dos pa\u00efsos podran mantenir els seus propis s\u00edmbols nacionals, encara que s'ha proposat un himne no oficial per a la Uni\u00f3, la can\u00e7\u00f3 Uni\u00f3 Sobirana de les Nacions (en bielor\u00fas \u0414\u0437\u044f\u0440\u0436\u0430\u045e\u043d\u044b \u0441\u0430\u044e\u0437 \u043d\u0430\u0440\u043e\u0434\u0430\u045e, en rus \u0414\u0435\u0440\u0436\u0430\u0432\u043d\u044b\u0439 \u0441\u043e\u044e\u0437 \u043d\u0430\u0440\u043e\u0434\u043e\u0432). Aquesta pe\u00e7a musical, derivada de l'himne nacional de la Uni\u00f3 Sovi\u00e8tica, parla d'una uni\u00f3 m\u00e9s \u00e0mplia entre les dues nacions." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa580", + "input": { + "question": "When did the Ussher chronology state that creation began?", + "context": "The Protestant Reformation inspired a literal interpretation of the Bible, with concepts of creation that conflicted with the findings of an emerging science seeking explanations congruent with the mechanical philosophy of Ren\u00e9 Descartes and the empiricism of the Baconian method. After the turmoil of the English Civil War, the Royal Society wanted to show that science did not threaten religious and political stability. John Ray developed an influential natural theology of rational order; in his taxonomy, species were static and fixed, their adaptation and complexity designed by God, and varieties showed minor differences caused by local conditions. In God's benevolent design, carnivores caused mercifully swift death, but the suffering caused by parasitism was a puzzling problem. The biological classification introduced by Carl Linnaeus in 1735 also viewed species as fixed according to the divine plan. In 1766, Georges Buffon suggested that some similar species, such as horses and asses, or lions, tigers, and leopards, might be varieties descended from a common ancestor. The Ussher chronology of the 1650s had calculated creation at 4004 BC, but by the 1780s geologists assumed a much older world. Wernerians thought strata were deposits from shrinking seas, but James Hutton proposed a self-maintaining infinite cycle, anticipating uniformitarianism." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa551", + "input": { + "question": "Quan preveuen celebrar la consulta amb els inscrits?", + "context": "L'alcaldessa de Barcelona i impulsora de Catalunya en Com\u00fa, Ada Colau, ha assegurat aquest dijous que assumir\u00e0 la decisi\u00f3 que les seves bases prenguin sobre el refer\u00e8ndum de l'1 d'octubre, en una consulta que els comuns preveuen celebrar al setembre amb els seus inscrits per decidir de forma democr\u00e0tica 'si hi ha una posici\u00f3 priorit\u00e0ria' de l'espai pol\u00edtic. 'Com a posici\u00f3 majorit\u00e0ria els que siguem veus p\u00fabliques, quan responguem no a t\u00edtol individual sin\u00f3 a t\u00edtol pol\u00edtic, haurem de respectar la decisi\u00f3 de la majoria', ha assegurat Colau en una entrevista a Onda Cero recollida per Europa Press. Tamb\u00e9 ha insistit que els comuns defensen un refer\u00e8ndum efectiu i que ella treballar\u00e0 per una proposta perqu\u00e8 Catalunya pugui votar per 'una Rep\u00fablica, que no t\u00e9 perqu\u00e8 estar separada d'una Rep\u00fablica espanyola, pot ser confederada, per exemple'. Preguntada per la seva participaci\u00f3 al 9N, ha recordat que va votar 's\u00ed-s\u00ed' per\u00f2 que va ser un 'vot de protesta' en un context en el qual el Govern central podia prohibir la votaci\u00f3, liderada per la societat civil i amb un car\u00e0cter c\u00edvic que convidava a la mobilitzaci\u00f3, i ha assegurat que la seva eventual resposta a l'1-O dependr\u00e0 de com es plantegi. Colau ha assegurat que l'Ajuntament no ha rebut cap requeriment de la Generalitat i ha insistit que no posaran en perill la instituci\u00f3 ni els funcionaris en cap situaci\u00f3 compromesa: 'No es traslladar\u00e0 als funcionaris el que han de resoldre els pol\u00edtics'. Ha insistit que l'1-O tal com ho planteja el Govern catal\u00e0 no reuneix les condicions perqu\u00e8 sigui el refer\u00e8ndum que Catalunya necessita: 'No es donen les condicions." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa320", + "input": { + "question": "Who did Japan collaborate with to help control the citizens of Korea?", + "context": "During World War II, Japan used Korea's food, livestock, and metals for their war effort. Japanese forces in Korea increased from 46,000 soldiers in 1941 to 300,000 in 1945. Japanese Korea conscripted 2.6 million forced laborers controlled with a collaborationist Korean police force; some 723,000 people were sent to work in the overseas empire and in metropolitan Japan. By 1942, Korean men were being conscripted into the Imperial Japanese Army. By January 1945, Koreans made up 32% of Japan's labor force. At the end of the war, other world powers did not recognize Japanese rule in Korea and Taiwan." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa257", + "input": { + "question": "\u00bfCu\u00e1l era la percepci\u00f3n que se ten\u00eda de la corregencia cuando el pr\u00edncipe heredero elegido era indiscutible?", + "context": "Sucesores \nUna costumbre que se impuso durante la Dinast\u00eda XVIII era la de nombrar un corregente, de modo que el fara\u00f3n reinante delegaba algunas funciones pol\u00edticas y religiosas en el heredero, quien una vez acontecida la muerte del rey acced\u00eda al trono. En los casos en que la posici\u00f3n del pr\u00edncipe heredero era indiscutible (por ser el hijo del rey y la Gran Esposa Real), la corregencia era vista como un marco de continuidad y formaci\u00f3n del joven pr\u00edncipe. En otras ocasiones, la instauraci\u00f3n de un corregente era una necesidad para afirmarlo como heredero, ya fuera porque no exist\u00eda ese pr\u00edncipe, ya porque proven\u00eda de una esposa de menor rango que la Gran Esposa Real. El hecho de que Ajenat\u00f3n y Nefertiti solo tuvieran hijas debi\u00f3 de haber planteado el problema sucesorio de forma prematura." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa454", + "input": { + "question": "\u00bfC\u00f3mo consideraban los contempor\u00e1neos de Morrell a este explorador?", + "context": "Valoraci\u00f3n \nLa figura de Morrell ha dividido la opini\u00f3n de ge\u00f3grafos, historiadores y comentaristas. La reputaci\u00f3n que tuvo entre sus contempor\u00e1neos como \"el mentiroso m\u00e1s grande del Pac\u00edfico\", y el estilo narrativo de Four Voyages, han disuadido a muchos de tomarlo en serio. Otros, sin embargo, han considerado que no se le ha hecho justicia. \"Puede haber sido un fanfarr\u00f3n y un charlat\u00e1n\", escribe Rupert Gould, \"pero no hay pruebas de que mintiera deliberadamente\". El hecho es, afirma Gould, que el libro contiene una gran cantidad de informaci\u00f3n precisa y valiosa, como por ejemplo, los datos que aporta sobre el descubrimiento de los dep\u00f3sitos de guano de la isla Ichaboe, que sentaron las bases de una floreciente industria. El hecho de que careciese de un cron\u00f3metro, pudo haber contribuido a sus frecuentes errores de posici\u00f3n en la Ant\u00e1rtida durante la primera parte del viaje, en un momento del relato escribe sobre \u00e9l mismo y \"su indigencia en cuanto a instrumentos n\u00e1uticos y matem\u00e1ticos\". Sin embargo, Gould rechaza esta explicaci\u00f3n, ya que con frecuencia Morrell habla de los c\u00e1lculos de posici\u00f3n \"por observaci\u00f3n\", lo que requerir\u00eda un cron\u00f3metro. Hugh Robert Mill dice que Morrell pudo haber sido impreciso y despreocupado a la hora de registrar bien fechas y lugares, pero \"no hay duda alguna de que naveg\u00f3, y eso lo confirman personas que estaban vivas en la fecha de la publicaci\u00f3n del relato\". Agrega que un hombre puede ser ignorante y fanfarr\u00f3n, y aun as\u00ed hacer un buen trabajo. En coincidencia con el punto de vista del historiador W. J. Mills, dijo que se pod\u00edan descubrir las pepitas de verdad que hay entre la masa de desinformaci\u00f3n aportada por Morrell." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa084", + "input": { + "question": "Quin institut ha entrat a formar part del patronat de la Universitat Catalana d'Estiu?", + "context": "L'Institut d'Estudis Bale\u00e0rics (IEB), dependent de la Conselleria de Cultura, Participaci\u00f3 i Esports, ha entrat a formar part del patronat de la Universitat Catalana d'Estiu que se celebra de l'1 al 5 de juliol a Manresa (Bages). Segons han informat des de la Conselleria en un comunicat, ja s'ha obert el termini d'inscripci\u00f3 per participar i consisteix en un espai de 'llibertat\u201d i de \u201ctrobada' d'estudiants, professors, professionals i pol\u00edtics de Balears, L'Alguer, Andorra, Catalunya, Catalunya Nord, la Franja de Ponent i del Pa\u00eds Valenci\u00e0. Tindr\u00e0 lloc en un campus vertebrat en tres espais al centre de Manresa, en l'Institut Llu\u00eds de Peguera s'oferiran els cursos universitaris i els actes i commemoracions; a l'Espai Plana de l'Om, els debats i les sessions de cinef\u00f2rum; i a la Pla\u00e7a Major, els concerts amb l'aportaci\u00f3 de l'IEB del de Joan Miquel Oliver. Tamb\u00e9 hi haur\u00e0 dues tardes amb visites guiades per la ciutat, on es podr\u00e0 veure el monestir de Sant Benet de Bages i, a m\u00e9s, les mines de sal i el castell de Cardona Aix\u00ed mateix, la tradicional de Prada tindr\u00e0 lloc del 16 al 24 d'agost i es retr\u00e0 homenatge a Aina Moll, filla major de Francesc de Borja Moll, amb qui va col\u00b7laborar en els dos \u00faltims volums del Diccionari catal\u00e0-valenci\u00e0-balear." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa176", + "input": { + "question": "\u00bfPor los derechos de qu\u00e9 pueblo luch\u00f3 Harriet Tubman?", + "context": "Harriet Tubman (Mediados de 1820 \u2013 10 de marzo de 1913), registrada al nacer como Araminta Ross, fue una luchadora por la libertad de los afroamericanos esclavizados en Estados Unidos. Tras escapar de la esclavitud, realiz\u00f3 trece misiones de rescate en las que liber\u00f3 a cerca de setenta esclavos,\u200b utilizando la red antiesclavista conocida como ferrocarril subterr\u00e1neo. Posteriormente, ayud\u00f3 a John Brown tras su toma del arsenal de Harpers Ferry, y tras la guerra luch\u00f3 por conseguir el sufragio para las mujeres." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa469", + "input": { + "question": "What Hellenistic practices heavily influenced Carthaginian culture?", + "context": "Carthage was a Phoenician colony on the coast of Tunisia. Carthaginian culture came into contact with the Greeks through Punic colonies in Sicily and through their widespread Mediterranean trade network. While the Carthaginians retained their Punic culture and language, they did adopt some Hellenistic ways, one of the most prominent of which was their military practices. In 550 BCE, Mago I of Carthage began a series of military reforms which included copying the army of Timoleon, Tyrant of Syracuse. The core of Carthage's military was the Greek-style phalanx formed by citizen hoplite spearmen who had been conscripted into service, though their armies also included large numbers of mercenaries. After their defeat in the first Punic war, Carthage hired a Spartan mercenary captain, Xanthippus of Carthage to reform their military forces. Xanthippus reformed the Carthaginian military along Macedonian army lines." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa156", + "input": { + "question": "Has the HDI been criticized for being biased towards Western or towards Eastern models of development?", + "context": "The Human Development Index has been criticized on a number of grounds including alleged ideological biases towards egalitarianism and so-called \"Western models of development\", failure to include any ecological considerations, lack of consideration of technological development or contributions to the human civilization, focusing exclusively on national performance and ranking, lack of attention to development from a global perspective, measurement error of the underlying statistics, and on the UNDP's changes in formula which can lead to severe misclassification in the categorisation of 'low', 'medium', 'high' or 'very high' human development countries." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa558", + "input": { + "question": "Per quin tipus de dieta el panda vermell t\u00e9 l'aparell digestiu m\u00e9s adaptat?", + "context": "El panda vermell de l'Him\u00e0laia, tot i tenir un aparell digestiu m\u00e9s adaptat a una dieta carn\u00edvora, \u00e9s un animal omn\u00edvor que s'alimenta principalment de bamb\u00fa, tot i que no \u00e9s capa\u00e7 de digerir la cel\u00b7lulosa; per tant, es veu obligat a consumir grans quantitats de bamb\u00fa per sobreviure. La seva dieta es compon d'aproximadament dos ter\u00e7os de bamb\u00fa i la complementa amb baies, fruits, bolets, arrels, glans, liquen i gram\u00ednies, a m\u00e9s d'alimentar-se ocasionalment de cries d'ocells, ous, petits rosegadors i insectes. En captivitat, tamb\u00e9 s'alimenta de carn. Els pandes vermells s\u00f3n excel\u00b7lents escaladors i busquen menjar b\u00e0sicament dalt d'arbres." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa093", + "input": { + "question": "\u00bfQui\u00e9n gobierna Rusia?", + "context": "Los organismos internacionales econ\u00f3micos, la UE y EEUU han demostrado una ceguera ante la corrupci\u00f3n pol\u00edtica presente en la extinta URSS que s\u00f3lo siendo voluntaria resulta comprensible. El estallido del esc\u00e1ndalo de la corrupci\u00f3n del entorno del presidente ruso Boris Yeltsin ha sorprendido s\u00f3lo a aquellos que quer\u00edan darse por no enterados o bien que realmente no se enteran de nada de lo que pasa en el mundo. En estas mismas p\u00e1ginas y desde hace ya muchos meses ven\u00edamos criticando la pasividad interesada con la que Occidente trataba el acelerado deslizamiento de Rusia hacia la ingobernabilidad absoluta, debido en primer lugar a la masiva corrupci\u00f3n en la que se desenvolv\u00eda el c\u00edrculo m\u00e1s allegado al poder. Que el esc\u00e1ndalo de los negocios fraudulentos de la familia presidencial se haga p\u00fablico ahora, no tiene otra raz\u00f3n de ser que las pr\u00f3ximas elecciones legislativas y las presidenciales del a\u00f1o que viene. No hay nada nuevo en la noticia ni para Occidente ni para los propios rusos; pero ahora interesa hacer p\u00fablico lo que todo el mundo sab\u00eda o intu\u00eda. Martin Malia subraya que el comunismo tuvo una doble cara como Janus: para unos de triunfo y bondad, mientras que para otros fue de derrota y terror. Cuando el sistema sovi\u00e9tico se derrumb\u00f3, Occidente tambi\u00e9n adopt\u00f3 esa postura ambivalente: por un lado todo eran ruinas y miseria y por el otro esperanza en una r\u00e1pida adaptaci\u00f3n de la nueva Rusia a los c\u00e1nones occidentales que, por otro lado, muchos de ellos hab\u00edan desaparecido al mismo tiempo que la Uni\u00f3n Sovi\u00e9tica. Sin embargo, tanto en lo concerniente a la URSS como a la supuesta nueva Rusia, se utilizaron unos extremos que no se conforman a la realidad hist\u00f3rica: no pod\u00eda enfocarse el futuro de aquel pa\u00eds, como de hecho de ning\u00fan otro, haciendo tabla rasa de la herencia del pasado y es precisamente esa herencia, m\u00e1s viva de lo que muchos quisieran, lo que ha producido la actual situaci\u00f3n de descomposici\u00f3n del Estado ruso. La corrupci\u00f3n en la \u00e9poca postsovi\u00e9tica es la adaptaci\u00f3n a un capitalismo primitivo de lo que era la corrupci\u00f3n en los tiempos sovi\u00e9ticos y las redes que se hicieron con el poder y constituyeron los grupos de intereses que degeneraron r\u00e1pidamente en mafias ten\u00edan sus ra\u00edces en los grupos que controlaban en la \u00e9poca anterior los contactos con el extranjero." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa418", + "input": { + "question": "Along with a gruff guard hair, what else makes up the double coat?", + "context": "The coats of domestic dogs are of two varieties: \"double\" being common with dogs (as well as wolves) originating from colder climates, made up of a coarse guard hair and a soft down hair, or \"single\", with the topcoat only." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa424", + "input": { + "question": "Quin dia l'Estat va treure els diners dels dos bancs?", + "context": "Estic d'acord al cent per cent amb aquesta piulada que el diputat d'ERC Ruben Wagensberg va fer divendres: Si l'Estat va treure milers de milions dels dip\u00f2sits catalans el 2-O, vol dir que veien possibilitats reals de ruptura. I si hi veien possibilitats reals, vol dir que la ruptura era i \u00e9s possible.L'1-O no va ser suficient. Cal tornar a generar molts 1-O. Un darrere l'altre. pic.twitter.com/TIk7qLNleh \u2014 Ruben Wagensberg (@wagensberg) October 5, 2018 La piulada \u00e9s una reacci\u00f3, a parer meu molt sensata, a les informacions que el diari Ara ha publicat aquest cap de setmana sobre la retirada en massa de fons dependents de l'estat espanyol, tant de CaixaBank com del Banc Sabadell, l'endem\u00e0 del dia del refer\u00e8ndum d'autodeterminaci\u00f3. Una informaci\u00f3 que ahir va complementar VilaWeb, que confirm\u00e0 que cap dels dos bancs no havia explicat la veritat al govern de la Generalitat sobre les raons per les quals se n'havien anat." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa370", + "input": { + "question": "\u00bfC\u00f3mo se titularon las dos novelas escritas por Andrade?", + "context": "La narrativa de M\u00e1rio de Andrade. Macuna\u00edma. \nM\u00e1rio de Andrade fue tambi\u00e9n un destacado narrador. Cultiv\u00f3 el relato breve, en colecciones como Primeiro andar (1926) y Contos novos (1946), as\u00ed como la cr\u00f3nica (Os filhos da Candinha, 1945). Fue autor de dos novelas: Amar, verbo intransitivo (1927) y Macuna\u00edma (1928). La primera caus\u00f3 cierto esc\u00e1ndalo en su momento, ya que narra la iniciaci\u00f3n sexual de un adolescente por una mujer madura, una institutriz alemana contratada por el padre del joven. La segunda, que desde su primera edici\u00f3n se presenta como una rapsodia, y no como novela, es considerada una de las novelas capitales de la literatura brasile\u00f1a." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa133", + "input": { + "question": "What modern country did Ibn Sina travel to after the end of the Samanid dynasty?", + "context": "When Ibn Sina was 22 years old, he lost his father. The Samanid dynasty came to its end in December 1004. Ibn Sina seems to have declined the offers of Mahmud of Ghazni, and proceeded westwards to Urgench in modern Turkmenistan, where the vizier, regarded as a friend of scholars, gave him a small monthly stipend. The pay was small, however, so Ibn Sina wandered from place to place through the districts of Nishapur and Merv to the borders of Khorasan, seeking an opening for his talents. Qabus, the generous ruler of Tabaristan, himself a poet and a scholar, with whom Ibn Sina had expected to find asylum, was on about that date (1012) starved to death by his troops who had revolted. Ibn Sina himself was at this time stricken by a severe illness. Finally, at Gorgan, near the Caspian Sea, Ibn Sina met with a friend, who bought a dwelling near his own house in which Ibn Sina lectured on logic and astronomy. Several of Ibn Sina's treatises were written for this patron; and the commencement of his Canon of Medicine also dates from his stay in Hyrcania." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa007", + "input": { + "question": "Who did Chopin say were the two most important composers in his own music influences?", + "context": "Chopin was educated in the tradition of Beethoven, Haydn, Mozart and Clementi; he used Clementi's piano method with his own students. He was also influenced by Hummel's development of virtuoso, yet Mozartian, piano technique. He cited Bach and Mozart as the two most important composers in shaping his musical outlook. Chopin's early works are in the style of the \"brilliant\" keyboard pieces of his era as exemplified by the works of Ignaz Moscheles, Friedrich Kalkbrenner, and others. Less direct in the earlier period are the influences of Polish folk music and of Italian opera. Much of what became his typical style of ornamentation (for example, his fioriture) is taken from singing. His melodic lines were increasingly reminiscent of the modes and features of the music of his native country, such as drones." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa199", + "input": { + "question": "A qu\u00e8 est\u00e0 adequada l'obertura?", + "context": "Armida tamb\u00e9 aporta una gran quantitat d'innovaci\u00f3 en termes de forma. L'obertura ja est\u00e0 adequada al tipus modern de preludi de l'\u00f2pera, en la qual el compositor abandona la sonata per una introducci\u00f3 lenta, donant al conjunt una forma de fantasia lliure. Desafiant les convencions existents, Rossini dimiteix finalment de la \u00abprescrita\u00bb aria di bravura del personatge principal, i l'\u00f2pera acaba amb un cor de dimonis estimulats per la recerca de la venjan\u00e7a d'Armida amb Rinaldo." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa163", + "input": { + "question": "Qui va fer El cor baix?", + "context": "El cor baix, que conserva la seva f\u00e0brica original, \u00e9s una obra corresponent a l'\u00faltim g\u00f2tic entre 1495 i 1498 \u2014sota el mandat del cardenal Pedro Gonz\u00e1lez de Mendoza\u2014 feta per Rodrigo Alem\u00e1n, gran autor d'altres cors, com els de Ciudad Rodrigo a Salamanca i el de Plas\u00e8ncia. En aquest cadirat l'autor va plasmar amb gran qualitat escenes de la presa de Granada pels Reis Cat\u00f2lics. Per indicaci\u00f3 del cardenal Mendoza es va esculpir a cada tauler dels respatllers \u2014comen\u00e7ant pel costat de l'Ep\u00edstola\u2014 la presa d'una ciutat per part de les tropes dels Reis Cat\u00f2lics, col\u00b7locant en el centre del cadirat, al costat de la cadira episcopal, les rendicions de M\u00e0laga i de Granada. Aquests relleus estan col\u00b7locats a la part alta dels respatllers, dins un marc arquitect\u00f2nic simulat a base d'arcs; la part baixa presenta una talla que imita brocats venecians. S'hi pot veure, a m\u00e9s, tota classe de gent de guerra, castells, armes i cavalls, fet que constitueix un document prec\u00eds de l'\u00e8poca. Sens dubte aquesta obra va ser sempre molt valorada pels successius arquebisbes, per la qual cosa mai no hi ha hagut una proposta de canvi, com va succeir amb el cor alt." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa211", + "input": { + "question": "How long has it taken for the Alps to form? ", + "context": "The Alps (/\u00e6lps/; Italian: Alpi [\u02c8alpi]; French: Alpes [alp]; German: Alpen [\u02c8\u0294alpm\u0329]; Slovene: Alpe [\u02c8\u00e1\u02d0lp\u025b]) are the highest and most extensive mountain range system that lies entirely in Europe, stretching approximately 1,200 kilometres (750 mi) across eight Alpine countries: Austria, France, Germany, Italy, Liechtenstein, Monaco, Slovenia, and Switzerland. The Caucasus Mountains are higher, and the Urals longer, but both lie partly in Asia. The mountains were formed over tens of millions of years as the African and Eurasian tectonic plates collided. Extreme shortening caused by the event resulted in marine sedimentary rocks rising by thrusting and folding into high mountain peaks such as Mont Blanc and the Matterhorn. Mont Blanc spans the French\u2013Italian border, and at 4,810 m (15,781 ft) is the highest mountain in the Alps. The Alpine region area contains about a hundred peaks higher than 4,000 m (13,123 ft), known as the \"four-thousanders\"." + }, + "output": { + "answer": "" + } + }, + { + "id": "mqa434", + "input": { + "question": "Qu\u00e8 hi ha la mig del jard\u00ed?", + "context": "A m\u00e0 esquerra de les termes, seguint la via de Nola, trobem la Casa del Centenari, anomenada aix\u00ed perqu\u00e8 es va excavar l'any 1879, divuit segles despr\u00e9s de l'erupci\u00f3 del Vesuvi. \u00c9s una de les cases m\u00e9s grans de la ciutat, fruit de la uni\u00f3 de tres habitatges primerencs. Hi destaquen l'atri tosc\u00e0, amb terra de mosaic i pintures de tema teatral, i el tablinum, que dona acc\u00e9s al peristil porticat; al mig del jard\u00ed hi ha la piscina o bassa per als peixos, amb un petit nimfeu al fons. La casa t\u00e9 una segona secci\u00f3 m\u00e9s petita, amb atri central voltat de diverses habitacions." + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Multilingual-Translation/annotation.json b/Scope-A/S-A-Quick/nlp/Multilingual-Translation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6f401727dbeea64ae3dca1b5206eaddf127eca6a --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Multilingual-Translation/annotation.json @@ -0,0 +1,156 @@ +{ + "task": "Multilingual Translation", + "type": "Translation", + "version": "1.0", + "data": [ + { + "id": "dst394", + "in": "German", + "out": "English", + "input": "Die \u2018Resilienz\u2019 von \u00d6kosystemen beschreibt ihre F\u00e4higkeit, sich von St\u00f6rungen zu erholen und ihre Funktionsweise trotz \u00e4u\u00dferer Stressfaktoren aufrechtzuerhalten.", + "output": "" + }, + { + "id": "dst258", + "in": "Chinese", + "out": "German", + "input": "\u5728\u884c\u4e3a\u91d1\u878d\u5b66\u4e2d\uff0c\u6295\u8d44\u8005\u7684\u975e\u7406\u6027\u884c\u4e3a\uff0c\u5982\u8fc7\u5ea6\u81ea\u4fe1\u6216\u4ece\u4f17\u5fc3\u7406\uff0c\u5e38\u5e38\u5bfc\u81f4\u5e02\u573a\u4ef7\u683c\u7684\u504f\u79bb\u3002", + "output": "" + }, + { + "id": "dst048", + "in": "French", + "out": "Chinese", + "input": "Les th\u00e9rapies antivirales de nouvelle g\u00e9n\u00e9ration ciblent les m\u00e9canismes sp\u00e9cifiques du virus, offrant une alternative plus efficace aux traitements traditionnels.", + "output": "" + }, + { + "id": "dst121", + "in": "English", + "out": "German", + "input": "Food biotechnology has made significant advancements in the development of genetically modified crops that are more resistant to pests, diseases, and environmental stressors, contributing to global food security.", + "output": "" + }, + { + "id": "dst342", + "in": "French", + "out": "German", + "input": "L\u2019\u00e9tude des \u2018risques naturels\u2019 examine les menaces potentielles li\u00e9es aux ph\u00e9nom\u00e8nes g\u00e9ophysiques tels que les s\u00e9ismes, les inondations et les tsunamis.", + "output": "" + }, + { + "id": "dst386", + "in": "Chinese", + "out": "German", + "input": "\u2018\u6c14\u5019\u9002\u5e94\u6027\u7b56\u7565\u2019\u901a\u8fc7\u5236\u5b9a\u53ef\u6301\u7eed\u7684\u571f\u5730\u5229\u7528\u89c4\u5212\u548c\u707e\u5bb3\u7ba1\u7406\u63aa\u65bd\uff0c\u65e8\u5728\u51cf\u5c11\u6c14\u5019\u53d8\u5316\u5bf9\u57ce\u5e02\u73af\u5883\u7684\u8d1f\u9762\u5f71\u54cd\u3002", + "output": "" + }, + { + "id": "dst085", + "in": "German", + "out": "Chinese", + "input": "Die Kunst der Romantik reagierte auf die Industrialisierung, indem sie das Gef\u00fchl der Individualit\u00e4t und die Erhebung des Sublimen in der Natur betonte, was einen Kontrapunkt zur aufkommenden Urbanisierung und Rationalit\u00e4t bildete.", + "output": "" + }, + { + "id": "dst198", + "in": "German", + "out": "Chinese", + "input": "Die Philosophie von Friedrich Nietzsche stellt die traditionellen Werte von Moral und Religion infrage und betont die Bedeutung der Willenskraft und der \u00dcberwindung des Nihilismus.", + "output": "" + }, + { + "id": "dst208", + "in": "German", + "out": "Chinese", + "input": "Immanuel Kants Konzept des kategorischen Imperativs fordert, dass moralische Handlungen aus Pflichtbewusstsein erfolgen und nicht durch pers\u00f6nliche Neigungen oder Folgen bestimmt werden.", + "output": "" + }, + { + "id": "dst335", + "in": "English", + "out": "French", + "input": "The term \u2018urban heat island effect\u2019 describes the phenomenon where urban areas experience significantly higher temperatures than their rural surroundings due to human activities and building materials.", + "output": "" + }, + { + "id": "dst047", + "in": "German", + "out": "English", + "input": "Die Anwendung von optischer Koh\u00e4renztomographie (OCT) in der Augenheilkunde erm\u00f6glicht es, pr\u00e4zise 3D-Bilder der Netzhaut zu erstellen und fr\u00fche Anzeichen von Augenkrankheiten zu erkennen.", + "output": "" + }, + { + "id": "dst114", + "in": "Chinese", + "out": "French", + "input": "\u8fd1\u5e74\u6765\uff0c\u98df\u54c1\u521b\u65b0\u548c\u66ff\u4ee3\u86cb\u767d\u8d28\u7684\u5f00\u53d1\u6210\u4e3a\u98df\u54c1\u79d1\u5b66\u7814\u7a76\u7684\u70ed\u70b9\uff0c\u5c24\u5176\u662f\u5728\u5e94\u5bf9\u5168\u7403\u4eba\u53e3\u589e\u957f\u548c\u6c14\u5019\u53d8\u5316\u6311\u6218\u65b9\u9762\u3002", + "output": "" + }, + { + "id": "dst360", + "in": "German", + "out": "Chinese", + "input": "Die \u2018\u00d6kotoxikologie\u2019 befasst sich mit den Auswirkungen von Schadstoffen auf die Umwelt und untersucht, wie diese die Gesundheit von \u00d6kosystemen und Arten beeintr\u00e4chtigen.", + "output": "" + }, + { + "id": "dst202", + "in": "English", + "out": "French", + "input": "The theory of pragmatism, developed by thinkers such as William James and Charles Peirce, holds that the truth of an idea or theory is determined by its practical consequences and its ability to solve problems.", + "output": "" + }, + { + "id": "dst050", + "in": "German", + "out": "French", + "input": "Die Entwicklung von Impfstoffen gegen virale Erkrankungen wie HIV und Hepatitis C bleibt eine der gr\u00f6\u00dften Herausforderungen der modernen Virologie.", + "output": "" + }, + { + "id": "dst261", + "in": "English", + "out": "Chinese", + "input": "Quantitative easing is a monetary policy used by central banks to increase the money supply by purchasing long-term securities, thus stimulating the economy and promoting lending.", + "output": "" + }, + { + "id": "dst350", + "in": "French", + "out": "German", + "input": "Les \u2018changements de l\u2019utilisation des sols\u2019 ont des impacts significatifs sur la biodiversit\u00e9, la qualit\u00e9 de l\u2019air et les ressources en eau.", + "output": "" + }, + { + "id": "dst037", + "in": "English", + "out": "French", + "input": "The discovery of antibiotic-resistant bacteria has sparked a global health crisis, necessitating the development of novel therapeutic strategies to combat these infections.", + "output": "" + }, + { + "id": "dst235", + "in": "English", + "out": "Chinese", + "input": "In metaphysics, the mind-body problem addresses the relationship between mental states, like beliefs and desires, and physical states, such as brain processes.", + "output": "" + }, + { + "id": "dst398", + "in": "German", + "out": "French", + "input": "Die \u2018Klimaresilienz\u2019 bezeichnet die F\u00e4higkeit von St\u00e4dten, sich an die durch den Klimawandel verursachten Ver\u00e4nderungen anzupassen und die Lebensqualit\u00e4t ihrer Bewohner zu erhalten.", + "output": "" + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Natural-Language-Inference/annotation.json b/Scope-A/S-A-Quick/nlp/Natural-Language-Inference/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1835d17c554e2415446c44df5033e406c9c30e60 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Natural-Language-Inference/annotation.json @@ -0,0 +1,217 @@ +{ + "task": "natural_language_inference", + "data_source": "snli_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0310", + "input": { + "raw_text": "Premise: A girl with curly hair and wearing a patriotic shirt is looking at a monarch butterfly sitting on her left index finger.\nHypothesis: A girl drinks a milkshake", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0193", + "input": { + "raw_text": "Premise: A man plays a piano painted with an image of a woman on it.\nHypothesis: A man plays the clarinet for his family.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0051", + "input": { + "raw_text": "Premise: Three puppies are in the tub being sprayed with water by a person.\nHypothesis: Animals are in a tub.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0107", + "input": { + "raw_text": "Premise: A man and a woman jumping with a lake in the background.\nHypothesis: They have been swimming.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0373", + "input": { + "raw_text": "Premise: A young man is standing near his bike outside a shop called, \"Sara's Old Fashioned Ice Cream.\"\nHypothesis: The young man is getting ice cream.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0315", + "input": { + "raw_text": "Premise: Two cars are being driven in a car race.\nHypothesis: Two cars participate in a car race.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0351", + "input": { + "raw_text": "Premise: A ballerina standing on the toes of one food with one arm up in the air and one leg lifted behind her.\nHypothesis: The ballerina hates this.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0383", + "input": { + "raw_text": "Premise: A brown dog wearing a collar is chasing and biting on a red broom.\nHypothesis: A puppy is playing.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0439", + "input": { + "raw_text": "Premise: A man wearing a short-sleeved blue shirt and carrying a blue backpack while using snow walking sticks treks through the snow with a woman wearing a long-sleeved blue shirt and black pants also using snow walking sticks.\nHypothesis: a guy with a blue top carries a pack and makes his way through snow", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0396", + "input": { + "raw_text": "Premise: Man walking down a brick sidewalk in a business suit reading a paper and smoking a cigar with a woman wearing sunglasses walking behind him to his left.\nHypothesis: The woman is a secret agent on mission to murder the man.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0440", + "input": { + "raw_text": "Premise: A musician playing a guitar while he has the microphone inside his mouth.\nHypothesis: The man is playing the trombone.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0154", + "input": { + "raw_text": "Premise: A person strolling through an orange tinted woods with a dog.\nHypothesis: They are walking their dog.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0100", + "input": { + "raw_text": "Premise: Security officer working outside.\nHypothesis: A security officer is in an office building.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0346", + "input": { + "raw_text": "Premise: A tennis player in a pink outfit serves the ball to her opponent.\nHypothesis: The woman hits a ball.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0455", + "input": { + "raw_text": "Premise: Two girls holding bags walking down the sidewalk.\nHypothesis: Two females are holding sacks.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0422", + "input": { + "raw_text": "Premise: A red Planet Hollywood bus carries many people including a man in an orange shirt and baseball cap, one woman wearing a purple shirt and another in a red shirt with her back to the camera.\nHypothesis: There is a bus carrying a lot of people on it.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0149", + "input": { + "raw_text": "Premise: Two dogs are playing together.\nHypothesis: Two pups are eating.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0397", + "input": { + "raw_text": "Premise: This person in a yellow kayak is riding the rapids.\nHypothesis: This person is on a river", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0327", + "input": { + "raw_text": "Premise: Two men, one in a red shirt and one in a white shirt, are on a boat in the beautiful blue-green water.\nHypothesis: Two men are out boating.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0464", + "input": { + "raw_text": "Premise: Times Square in New York.\nHypothesis: Times Square is a place.", + "prompt": "<<>>. What is the relationship between the premise and hypothesis? Choose from: entailment, contradiction, or neutral. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Nature-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Nature-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..711c4845eb64e4e394189318d86750de3d9966aa --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Nature-Question-Answering/annotation.json @@ -0,0 +1,465 @@ +{ + "task": "Nature Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "NQA479", + "output": { + "answer": "" + }, + "input": { + "question": "Which oceanic feature is primarily associated with the process of plate tectonics?", + "options": [ + "Mid-ocean ridges", + "Coral reefs", + "Tidal waves", + "Icebergs" + ] + } + }, + { + "id": "NQA390", + "output": { + "answer": "" + }, + "input": { + "question": "Which geographical factor contributes significantly to coral bleaching in tropical regions?", + "options": [ + "Increased salinity levels in the ocean waters", + "Rapid cooling of the surrounding landmasses", + "Elevated levels of volcanic activity in the vicinity", + "Rising sea surface temperatures due to climate change" + ] + } + }, + { + "id": "NQA376", + "output": { + "answer": "" + }, + "input": { + "question": "Which region of the world is commonly known as 'Tornado Alley' due to its high frequency of tornadoes?", + "options": [ + "Midwest United States", + "Amazon Rainforest", + "Sahara Desert", + "Great Barrier Reef" + ] + } + }, + { + "id": "NQA139", + "output": { + "answer": "" + }, + "input": { + "question": "How do monsoons influence the productivity of phytoplankton in marine ecosystems?", + "options": [ + "Monsoons cause upwelling, bringing nutrient-rich waters to the surface.", + "Monsoons decrease sunlight penetration, reducing photosynthesis.", + "Monsoons promote algal blooms, leading to increased phytoplankton growth.", + "Monsoons trigger ocean acidification, impacting phytoplankton survival." + ] + } + }, + { + "id": "NQA240", + "output": { + "answer": "" + }, + "input": { + "question": "How does glacial melting contribute to the formation of tropical storms in certain geographical regions?", + "options": [ + "By releasing freshwater into the ocean, altering sea surface temperatures and potentially intensifying storm formation.", + "By reducing the amount of water vapor in the atmosphere, leading to decreased storm activity.", + "By increasing cloud cover and reducing the amount of solar radiation reaching the Earth's surface.", + "By causing a decrease in ocean salinity, which has a cooling effect on the surrounding waters." + ] + } + }, + { + "id": "NQA123", + "output": { + "answer": "" + }, + "input": { + "question": "What is the term used to describe the electrical discharge sometimes seen during volcanic eruptions?", + "options": [ + "Thunderquake", + "Volcanic Thunder", + "Lava Lightning", + "Volcanic Lightning" + ] + } + }, + { + "id": "NQA309", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary cause of most tsunamis around the world?", + "options": [ + "Volcanic eruptions", + "Underwater earthquakes", + "Hurricanes", + "Tidal forces" + ] + } + }, + { + "id": "NQA110", + "output": { + "answer": "" + }, + "input": { + "question": "How can tsunamis play a role in shaping desert ecosystems?", + "options": [ + "By depositing nutrient-rich sediments that support plant growth", + "By causing significant erosion and disrupting habitats", + "By introducing new species that thrive in arid conditions", + "By increasing water availability through underground aquifers" + ] + } + }, + { + "id": "NQA025", + "output": { + "answer": "" + }, + "input": { + "question": "What geological process primarily shapes the landscapes of the polar regions?", + "options": [ + "Volcanic eruptions", + "Glacial movements", + "Earthquakes", + "Desertification" + ] + } + }, + { + "id": "NQA118", + "output": { + "answer": "" + }, + "input": { + "question": "Which phenomenon occurs in polar regions due to the buildup of static electricity in clouds, resulting in flashes of light and thunder?", + "options": [ + "Auroras", + "Cyclones", + "Tornadoes", + "Lightning" + ] + } + }, + { + "id": "NQA407", + "output": { + "answer": "" + }, + "input": { + "question": "How do plate tectonics affect the environment and ecosystems?", + "options": [ + "By creating mountain ranges and oceanic trenches", + "By controlling the Earth's magnetic field", + "By regulating the carbon cycle", + "By influencing global wind patterns" + ] + } + }, + { + "id": "NQA342", + "output": { + "answer": "" + }, + "input": { + "question": "What is the term used to describe water spouts or tornadoes that occur over bodies of water, often seen in marine ecosystems?", + "options": [ + "Hurricanes", + "Whirlpools", + "Tornadoes", + "Waterspouts" + ] + } + }, + { + "id": "NQA107", + "output": { + "answer": "" + }, + "input": { + "question": "How do auroras contribute to the ecological balance of the Earth?", + "options": [ + "By creating beautiful light displays that attract tourists, boosting local economies.", + "By aiding in the regulation of the Earth's temperature and climate.", + "By depleting the ozone layer, leading to harmful effects on the environment.", + "By causing disruptions in the Earth's magnetic field, affecting wildlife navigation." + ] + } + }, + { + "id": "NQA017", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary cause of monsoons?", + "options": [ + "Intense volcanic activity", + "Global warming", + "Seasonal wind patterns", + "Plate tectonics" + ] + } + }, + { + "id": "NQA419", + "output": { + "answer": "" + }, + "input": { + "question": "What is the main cause of tsunamis?", + "options": [ + "Volcanic eruptions", + "Tornadoes", + "Earthquakes", + "Hurricanes" + ] + } + }, + { + "id": "NQA277", + "output": { + "answer": "" + }, + "input": { + "question": "How do sandstorms impact marine ecosystems?", + "options": [ + "By causing increased salinity levels in the water", + "By depositing sand particles that can smother coral reefs", + "By promoting the growth of plankton populations", + "By reducing water temperatures in the affected areas" + ] + } + }, + { + "id": "NQA058", + "output": { + "answer": "" + }, + "input": { + "question": "In deserts, how do plants adapt to the arid climate to carry out photosynthesis?", + "options": [ + "By opening their stomata at night to reduce water loss during the day", + "By relying solely on stored water in their stems and leaves", + "By absorbing water through their roots at a slower rate", + "By increasing the number of chloroplasts in their cells to trap more sunlight" + ] + } + }, + { + "id": "NQA174", + "output": { + "answer": "" + }, + "input": { + "question": "What geographical factor primarily contributes to coral bleaching in marine ecosystems?", + "options": [ + "Increased salinity levels in the water", + "Rising sea levels due to climate change", + "Erosion caused by strong ocean currents", + "Temperature fluctuations in the ocean" + ] + } + }, + { + "id": "NQA249", + "output": { + "answer": "" + }, + "input": { + "question": "In deserts, how do plants adapt to minimize water loss while maximizing photosynthesis?", + "options": [ + "They open their stomata at night to reduce water loss during the day.", + "They have smaller chloroplasts to decrease water usage.", + "They increase the number of stomata to enhance gas exchange.", + "They store water in their leaves for extended periods." + ] + } + }, + { + "id": "NQA243", + "output": { + "answer": "" + }, + "input": { + "question": "How does glacial melting impact marine ecosystems from a climatological perspective?", + "options": [ + "Increases sea levels, affecting coastal habitats and marine life.", + "Leads to a decrease in ocean salinity, disrupting marine food chains.", + "Causes ocean acidification, harming coral reefs and shell-forming organisms.", + "Enhances nutrient availability, potentially boosting primary productivity." + ] + } + }, + { + "id": "NQA323", + "output": { + "answer": "" + }, + "input": { + "question": "How do auroras potentially impact marine ecosystems?", + "options": [ + "By influencing the behavior of migratory marine species", + "By increasing water temperature in certain regions", + "By promoting the growth of phytoplankton through increased solar radiation", + "By causing disruptions in the magnetic field affecting marine navigation" + ] + } + }, + { + "id": "NQA005", + "output": { + "answer": "" + }, + "input": { + "question": "What natural phenomenon can trigger a tsunami?", + "options": [ + "Volcanic eruptions", + "Tornadoes", + "Forest fires", + "Earthquakes" + ] + } + }, + { + "id": "NQA367", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary gas responsible for the green color in auroras?", + "options": [ + "Oxygen", + "Hydrogen", + "Nitrogen", + "Helium" + ] + } + }, + { + "id": "NQA354", + "output": { + "answer": "" + }, + "input": { + "question": "In the context of the polar regions, how do monsoons contribute to ecological changes and biodiversity? Which of the following best describes their influence?", + "options": [ + "Monsoons create a warmer climate, promoting biodiversity by providing new habitats for species to thrive.", + "Monsoons bring about rapid ice melt, affecting the feeding patterns of marine species.", + "Monsoons disrupt the breeding cycles of Arctic fauna, leading to a decline in population.", + "Monsoons regulate the temperature and moisture levels, supporting the growth of unique plant species in the polar regions." + ] + } + }, + { + "id": "NQA143", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary cause of sandstorms?", + "options": [ + "High humidity levels", + "Strong winds carrying loose sand particles", + "Heavy rainfall in desert regions", + "Low atmospheric pressure" + ] + } + }, + { + "id": "NQA105", + "output": { + "answer": "" + }, + "input": { + "question": "How do sandstorms in the polar regions affect the delicate ecological balance? ", + "options": [ + "By depositing nutrients that support plant growth", + "By accelerating glacier melting due to darkening of the ice surface", + "By reducing the acidity of the surrounding water bodies", + "By promoting the growth of algae and phytoplankton populations" + ] + } + }, + { + "id": "NQA498", + "output": { + "answer": "" + }, + "input": { + "question": "What is the primary cause of coral bleaching during tropical storms?", + "options": [ + "A. Increased water temperature", + "B. Strong winds", + "C. Heavy rainfall", + "D. Rising sea levels" + ] + } + }, + { + "id": "NQA436", + "output": { + "answer": "" + }, + "input": { + "question": "Which of the following statements best describes the relationship between plate tectonics and the formation of the polar regions?", + "options": [ + "Polar regions are primarily shaped by convergent plate boundaries.", + "Polar regions are unaffected by plate tectonics.", + "Polar regions are formed due to divergent plate boundaries.", + "Polar regions are influenced by the movement of lithospheric plates over the Earth's asthenosphere." + ] + } + }, + { + "id": "NQA488", + "output": { + "answer": "" + }, + "input": { + "question": "How do plate tectonics impact the endangerment of species?", + "options": [ + "By causing volcanic activity and earthquakes that destroy habitats", + "By creating new land masses for species to inhabit", + "By regulating global climate patterns that affect ecosystems", + "By promoting genetic diversity through geographic isolation" + ] + } + }, + { + "id": "NQA132", + "output": { + "answer": "" + }, + "input": { + "question": "In which polar region does coral bleaching occur due to rising ocean temperatures and reduced salinity levels?", + "options": [ + "Arctic", + "Antarctic", + "North Pole", + "South Pole" + ] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Numerical-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Numerical-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7fd87f68aa91af9c787540602ce16d8e3e01f98c --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Numerical-Reasoning/annotation.json @@ -0,0 +1,496 @@ +{ + "task": "Numerical Reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "nr075", + "input": { + "question": "A linear picket fence consists of x pickets, each measuring 1/2 inch in width. Given that there is a 6-inch gap between every two adjacent pickets, which of the following expressions correctly represents the total length of the fence in feet?", + "options": [ + "13x/2", + "13x/2 - 6", + "13x/24", + "(13x+1)/24", + "(13x-12)/24" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr107", + "input": { + "question": "On a specific lake, the quantity of water lilies doubles every two days. Starting with a single water lily, the lake becomes completely covered in 60 days. If the initial count of water lilies is 64, how many days will it take for the lake to be entirely covered with lilies?", + "options": [ + "15", + "28", + "30", + "53", + "59" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr139", + "input": { + "question": "Vehicle 'X' travels a distance of 320 kilometers in 8 hours, while vehicle 'Y' travels a distance of 415 kilometers in 5 hours. What is the difference in their speeds?", + "options": [ + "42kms/hr", + "41km/hr", + "43kms/hr", + "45kms/hr", + "None of these" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr052", + "input": { + "question": "If a man expends Rs. 3500 monthly and manages to save 12 1/2% of his earnings, what is his monthly income?", + "options": [ + "Rs. 4400", + "Rs. 4270", + "Rs. 4000", + "Rs. 3937.50", + "None of these" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr018", + "input": { + "question": "Over the past year, a Home Appliance Store averaged sales of 42 microwave ovens each month. During the initial 10 months of the current year, the store's monthly average sales dropped to 20 microwave ovens. What is the average monthly number of microwave ovens sold over the entire span of 22 months?", + "options": [ + "21", + "30", + "31", + "32", + "None of the above" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr022", + "input": { + "question": "Alex and Jacob are employed at a toy shop where they manufacture toys. Alex requires 7 hours to complete a toy, while Jacob needs 9 hours to finish one. Over the course of a month, they collectively produce 35 toys. Assuming they have both worked approximately the same number of hours, how many toys did Jacob manufacture?", + "options": [ + "15", + "16", + "17", + "18", + "19" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr144", + "input": { + "question": "Events A and B are independent. The likelihood of event A happening is 0.6, and the probability that either event A or event B (or both) occurs is 0.96. Determine the probability of event B occurring.", + "options": [ + "0.5", + "0.6", + "0.7", + "0.8", + "0.9" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr294", + "input": { + "question": "Given that (x # y) denotes the remainder obtained when the positive integer x is divided by the positive integer y, what is the total of all possible values of y for which (16 # y) equals 3?", + "options": [ + "14", + "9", + "16", + "23", + "24" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr449", + "input": { + "question": "In a dispatch center, there are seven parcels with an average (arithmetic mean) weight of 222 kg and a median weight of 270 kg. Determine the highest possible weight, in kilograms, of the lightest parcel.", + "options": [ + "158", + "165", + "194", + "225", + "270" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr246", + "input": { + "question": "In Burghtown, the probability that a registered voter participated in the most recent election is 90%. When five registered voters are randomly selected, what is the approximate probability that exactly four out of these five voted in the last election?", + "options": [ + "26.2%", + "32.8%", + "43.7%", + "59.0%", + "65.6%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr364", + "input": { + "question": "To pass an examination, a candidate is required to achieve a score of 55%. If a candidate scores 120 marks but falls short by 78 marks, what is the total number of marks for the examination?", + "options": [ + "176", + "877", + "360", + "169", + "191" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr233", + "input": { + "question": "Jack can clean a yacht by himself in 12 hours. On a specific day, he completes two-thirds of the task. The rest of the work is taken over by Jill, whose cleaning speed is only 5% of Jack's. How much time does Jill need to complete the remaining part of the work?", + "options": [ + "4", + "8", + "22", + "50", + "20" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr401", + "input": { + "question": "A bleaching chemical named Minum, amounting to three quarts, consists of 5 percent hydrogen peroxide and water. Another bleaching chemical, called Maxim, which has 20 percent hydrogen peroxide, is to be blended with the three quarts of Minum. What volume of Maxim should be added to the three quarts of Minum to achieve a mixture that contains 10 percent hydrogen peroxide?", + "options": [ + "2 quarts", + "3.75 quarts", + "4.5 quarts", + "6 quarts", + "9 quarts" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr273", + "input": { + "question": "During the latest elections in Malta, within a specific constituency, a total of 100,000 votes were cast, with each vote being for either Candidate A or Candidate B. Given that Candidate A emerged victorious by a margin of 500 votes, what percentage of the 100,000 votes were in favor of Candidate A?", + "options": [ + "50.05%", + "50.25%", + "50.5%", + "51%", + "52.5%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr080", + "input": { + "question": "The urban planners of Boomtown anticipate that the city's population will grow by 10% annually for the next two years. Should this forecast materialize, the population in two years will precisely double the population from one year ago. Among the options provided, which percentage most closely approximates the population increase in Boomtown over the past year?", + "options": [ + "20%", + "40%", + "50%", + "65%", + "75%" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr242", + "input": { + "question": "The combined ages of Joe, his sister, and his father total 100. When Joe reaches the age of his father, his sister will be twice her current age. Additionally, when Joe attains his father's age, his father will be twice as old as he was when his sister was the same age as him. What is the age of Joe's father?", + "options": [ + "45", + "48", + "50", + "55", + "58" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr230", + "input": { + "question": "Given the equations 6x - y = 24 and y = 3x, determine the value of x.", + "options": [ + "8", + "9", + "10", + "11", + "12" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr027", + "input": { + "question": "If Rahul borrows Rs. 500 at a simple interest rate of 6% per year, how much will he need to pay back after 4 years?", + "options": [ + "750", + "700", + "620", + "600", + "None of these" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr010", + "input": { + "question": "To achieve a minimum salary of $1000, how many sales, each worth $250, must a salesperson complete if they receive a 10% commission on each sale?", + "options": [ + "15", + "24", + "25", + "40", + "52" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr302", + "input": { + "question": "An agent receives a 5% commission on the sale of clothes. On a particular day, he earned $500 in commission. What was the total value of the clothes sold by him on that day?", + "options": [ + "1500", + "1200", + "10000", + "2000", + "1000" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr067", + "input": { + "question": "A specific health food provides 9% of the minimum daily requirement of vitamin E and 8% of the minimum daily requirement of vitamin A per gram. To meet at least the minimum daily requirements for both vitamins E and A solely from this food, what is the minimum amount of the health food, in grams, that must be consumed daily?", + "options": [ + "8.5", + "10.5", + "12.5", + "14.5", + "16.5" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr257", + "input": { + "question": "A rectangular cloth with a width of 2 feet was split lengthwise into two smaller rectangular sections. The shorter section was one-third the length of the longer section and had an area of 12 square feet. Determine the original length Q in feet of the cloth prior to being cut.", + "options": [ + "6", + "18", + "24", + "36", + "48" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr483", + "input": { + "question": "In a casino, players spin a wheel that features positive, two-digit numbers. If a player wagers on a prime number and the wheel lands on that number, they receive double their bet. Conversely, if they bet on a non-prime number and the wheel lands on it, they win half their bet. Given that a player won $100, which of the following scenarios could be true?\nI. betting $50 on 11\nII. betting $50 on 21\nIII. betting $200 on 89", + "options": [ + "I only", + "II only", + "III only", + "I and II only", + "I, II and III" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr274", + "input": { + "question": "Glenn makes a 10% profit by selling her scarf for $44. Her mother offers to purchase it from her, but only after applying a family discount of 5%. What will be Glenn's percentage gain if she sells the scarf to her mother?", + "options": [ + "5%", + "4.5%", + "4%", + "2%", + "No gain" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr507", + "input": { + "question": "If a password must include 2 letters and 3 digits, how many unique passwords can be formed when both letters and digits can be repeated?", + "options": [ + "676000", + "676", + "100", + "6760", + "25" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr420", + "input": { + "question": "In an arithmetic progression, the sum of the third and fifteenth terms is the same as the sum of the sixth, eleventh, and thirteenth terms. Which term in the series must necessarily be zero?", + "options": [ + "1st", + "9th", + "12th", + "None of these", + "Cannot be determined" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr402", + "input": { + "question": "A tin along with the cookies it holds weighs 2 pounds. When 3/4 of the cookies are consumed, the combined weight of the tin and the leftover cookies is 0.8 pounds. Determine the weight of the empty tin in pounds.", + "options": [ + "0.9", + "0.6", + "0.4", + "0.3", + "0.1" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr247", + "input": { + "question": "Alice plans to install a fence around three sides of her rectangular yard, leaving one side of 10 meters open. Given that the yard's area is 240 square meters, what is the total length of fencing required?", + "options": [ + "58", + "62", + "66", + "70", + "74" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr490", + "input": { + "question": "The interior angles of a polygon, when arranged in sequence, form an arithmetic progression. The smallest angle in this sequence is 850 degrees, and the largest angle is 2150 degrees. Determine the number of sides of this polygon.", + "options": [ + "6", + "15", + "12", + "10", + "8" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "nr471", + "input": { + "question": "Given that the age ratio of a mother to her son is 3:5 and the mother is 12 years old, what is the son's age?", + "options": [ + "20.0", + "21.1", + "10.1", + "15.1", + "16.2" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Offensive-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Offensive-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..13b24204078eef7c11615e442dc287e9ec878159 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Offensive-Classification/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "offensive_classification", + "data_source": "offensive_classification_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0331", + "input": { + "raw_text": "RT @LucentVariable: @TonyJRodriguez friendly reminder that you shouldn't try to have sex with birds", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0198", + "input": { + "raw_text": "@showtimemajed @mauroranallo @joerogan Either trolling or retarded.", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0244", + "input": { + "raw_text": "@Oskzilla niggah you gay!", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0165", + "input": { + "raw_text": "RT @espn: When the Yanks and Sox get together, things usually go smoothly -> http://t.co/f3t97ymMd5", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0257", + "input": { + "raw_text": "RT @MarsaSteenhoek: 50 rts& I'll take the mic& say fuck her right in the pussy http://t.co/4VHc5O7rZ5", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0135", + "input": { + "raw_text": "@Angllee2500 ain't nobody offending u fuckin peckerwoods I despise of a no good white ungrateful honkey", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0311", + "input": { + "raw_text": "RT @cjduchesneau: nigger hair??? comin from this bitch who had a dread on the back of her@bair she forgot from century's ago", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0330", + "input": { + "raw_text": "@Morning_Joe Wonder how many US citizens have joined ISIS after listening to Joe Scarborough trash this \"black President?\" Good Job Joe!!", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0144", + "input": { + "raw_text": "Ain't fuckin wit nomore hoes got who I want 🙊😴😌💏💑💯", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0348", + "input": { + "raw_text": "You are beyond retarded", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0086", + "input": { + "raw_text": "RT @JOscarJr: @paullemat Happy Birthday! Take a spin in that yellow coupe... #shutemdown http://t.co/xGy7gIGOn8", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0232", + "input": { + "raw_text": "\"@adriwadrri: No love for these fuck niggas\" hoes*", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0413", + "input": { + "raw_text": "Two days gone she been gone so long you can't get her on the phone cuz that bitch done been wit meeeeee", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0303", + "input": { + "raw_text": "@laceeybugg atleast i wipe my ass trashy bitch", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0259", + "input": { + "raw_text": "Friends don't let friends become guidos. #themoreyouknow", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0016", + "input": { + "raw_text": "Ugh I can't stand a bitch that smokes black & milds. They make me itch", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0352", + "input": { + "raw_text": "I swear I needa go on n go back to the old me because bitches think its a game apparently. Let's be real !", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0289", + "input": { + "raw_text": "@AARONCARTER push me on the wall slowly take my panties down and write alphabet with ur tongue on my tight pussy", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0367", + "input": { + "raw_text": "RT @mediacrooks: I believe the time for uncouth/uncivilised people to be sentenced to death for racial slurs/attacks against NE citizens...", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0138", + "input": { + "raw_text": "RT @WifiAndPorn: The fuck? RT @llAboutBenji: I asked this bitch if she was having a good day, and the bitch said \"stop being weird\" im conf…", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0048", + "input": { + "raw_text": "I got some bitch ass coworkers. I stay late every day last week I don't complain about them mfs. They stay late they send emails that I left", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0067", + "input": { + "raw_text": "I masturbated into the lingerie catalog out of spite. how dare she throw it in the trash before I get to look at it!", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0383", + "input": { + "raw_text": "Fucking told all of you bitches. http://t.co/DiF6d6EYin", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0266", + "input": { + "raw_text": "Prejudice. A preconceived awareness based on a majority of interactions. The negative slant comes from libs. Self preservation is the basis.", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0035", + "input": { + "raw_text": "@alanaaaaaa_ pussy", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0014", + "input": { + "raw_text": "RT @arabellaann: “@0_FacingReality: Finna punch all these bitches in front of me” das my girl", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0210", + "input": { + "raw_text": "“@NoGovy: Smh bitches are such haters !!! How dare they do this to her #blackgirls #jealousy http://t.co/i2nnm1Z1” YOOO LOOOL", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0053", + "input": { + "raw_text": "Let's just say the hotel I've been staying at isn't going to want this hand towel back. I had no idea I could turn 'em that shade of yellow.", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0288", + "input": { + "raw_text": "Bitch I'm the man that's right I said it, bitch I'm the man don't you forget it. 😏", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0101", + "input": { + "raw_text": "Is dare any colored players in hockey?", + "prompt": "<<>>. Classify if this text is offensive or non-offensive. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Open-Domain-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Open-Domain-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..948d6e35ae3e0465ae38fecd0163a1c18338aca9 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Open-Domain-Question-Answering/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Open-Domain Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "oqa450", + "input": { + "question": "What type of institution is the University of Chicago?", + "context": "The University of Chicago (UChicago, Chicago, or U of C) is a private research university located in Chicago, established in 1890. It includes The College, various graduate programs, and interdisciplinary committees within four academic research divisions and seven professional schools. The university is recognized for its professional schools, including the Pritzker School of Medicine, Booth School of Business, and Law School, among others. The current enrollment includes about 5,000 students in The College and around 15,000 students overall." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa144", + "input": { + "question": "What balance do speakers represent when chosen from across Scotland?", + "context": "On Wednesdays, the first item of business is usually Time for Reflection, where a speaker addresses members for up to four minutes on matters of faith. This practice contrasts with the more formal 'Prayers' used in the House of Commons. Speakers are selected from all over Scotland to reflect the balance of religious beliefs according to the Scottish census. The Presiding Officer, advised by the parliamentary bureau, approves invitations, though faith groups can also request speaker nominations directly." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa370", + "input": { + "question": "What style of lace is erroneously believed by some to have Huguenot influence?", + "context": "Some Huguenots settled in Bedfordshire, one of the main centres of the British lace industry at the time. Although 19th century sources have asserted that some of these refugees were lacemakers and contributed to the East Midlands lace industry, this is contentious. The only reference to immigrant lacemakers in this period is of twenty-five widows who settled in Dover, and there is no contemporary documentation to support there being Huguenot lacemakers in Bedfordshire. The implication that the style of lace known as 'Bucks Point' demonstrates a Huguenot influence, being a \"combination of Mechlin patterns on Lille ground\", is fallacious: what is now known as Mechlin lace did not develop until first half of the eighteenth century and lace with Mechlin patterns and Lille ground did not appear until the end of the 18th century, when it was widely copied throughout Europe." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa270", + "input": { + "question": "Why was there a depreciation of the industrialized nations dollars?", + "context": "On August 15, 1971, the United States unilaterally pulled out of the Bretton Woods Accord. The US abandoned the Gold Exchange Standard whereby the value of the dollar had been pegged to the price of gold and all other currencies were pegged to the dollar, whose value was left to \"float\" (rise and fall according to market demand). Shortly thereafter, Britain followed, floating the pound sterling. The other industrialized nations followed suit with their respective currencies. Anticipating that currency values would fluctuate unpredictably for a time, the industrialized nations increased their reserves (by expanding their money supplies) in amounts far greater than before. The result was a depreciation of the dollar and other industrialized nations' currencies. Because oil was priced in dollars, oil producers' real income decreased. In September 1971, OPEC issued a joint communiqu\u00e9 stating that, from then on, they would price oil in terms of a fixed amount of gold." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa162", + "input": { + "question": "What can be used to model tension forces?", + "context": "Tension forces can be modeled using ideal strings that are massless, frictionless, unbreakable, and unstretchable. They can be combined with ideal pulleys, which allow ideal strings to switch physical direction. Ideal strings transmit tension forces instantaneously in action-reaction pairs so that if two objects are connected by an ideal string, any force directed along the string by the first object is accompanied by a force directed along the string in the opposite direction by the second object. By connecting the same string multiple times to the same object through the use of a set-up that uses movable pulleys, the tension force on a load can be multiplied. For every string that acts on a load, another factor of the tension force in the string acts on the load. However, even though such machines allow for an increase in force, there is a corresponding increase in the length of string that must be displaced in order to move the load. These tandem effects result ultimately in the conservation of mechanical energy since the work done on the load is the same no matter how complicated the machine." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa499", + "input": { + "question": "Where was an elected assembly to be set up, under the terms of the Scotland Act of 1978?", + "context": "Under the terms of the Scotland Act 1978, an elected assembly would be set up in Edinburgh provided that the majority of the Scottish electorate voted for it in a referendum to be held on 1 March 1979 that represented at least 40% of the total electorate. The 1979 Scottish devolution referendum to establish a devolved Scottish Assembly failed. Although the vote was 51.6% in favour of a Scottish Assembly, this figure did not equal the 40% of the total electorate threshold deemed necessary to pass the measure, as 32.9% of the eligible voting population did not, or had been unable to, vote." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa187", + "input": { + "question": "When did Holden announce that it will close its Victoria plant?", + "context": "Historically, Victoria has been the base for the manufacturing plants of the major car brands Ford, Toyota and Holden; however, closure announcements by all three companies in the 21st century will mean that Australia will no longer be a base for the global car industry, with Toyota's statement in February 2014 outlining a closure year of 2017. Holden's announcement occurred in May 2013, followed by Ford's decision in December of the same year (Ford's Victorian plants\u2014in Broadmeadows and Geelong\u2014will close in October 2016)." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa367", + "input": { + "question": "Where does the Rhine begin? ", + "context": "The length of the Rhine is conventionally measured in \"Rhine-kilometers\" (Rheinkilometer), a scale introduced in 1939 which runs from the Old Rhine Bridge at Constance (0 km) to Hoek van Holland (1036.20 km). The river length is significantly shortened from the river's natural course due to number of canalisation projects completed in the 19th and 20th century.[note 7] The \"total length of the Rhine\", to the inclusion of Lake Constance and the Alpine Rhine is more difficult to measure objectively; it was cited as 1,232 kilometres (766 miles) by the Dutch Rijkswaterstaat in 2010.[note 1]" + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa166", + "input": { + "question": "Where did Mongke Khan attack the Song dynasty?", + "context": "M\u00f6ngke Khan commenced a military campaign against the Chinese Song dynasty in southern China. The Mongol force that invaded southern China was far greater than the force they sent to invade the Middle East in 1256. He died in 1259 without a successor. Kublai returned from fighting the Song in 1260 when he learned that his brother, Ariq B\u00f6ke, was challenging his claim to the throne. Kublai convened a kurultai in Kaiping that elected him Great Khan. A rival kurultai in Mongolia proclaimed Ariq B\u00f6ke Great Khan, beginning a civil war. Kublai depended on the cooperation of his Chinese subjects to ensure that his army received ample resources. He bolstered his popularity among his subjects by modeling his government on the bureaucracy of traditional Chinese dynasties and adopting the Chinese era name of Zhongtong. Ariq B\u00f6ke was hampered by inadequate supplies and surrendered in 1264. All of the three western khanates (Golden Horde, Chagatai Khanate and Ilkhanate) became functionally autonomous, although only the Ilkhans truly recognized Kublai as Great Khan. Civil strife had permanently divided the Mongol Empire." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa096", + "input": { + "question": "What was the result of the 1967 referendum?", + "context": "When a consolidation referendum was held in 1967, voters approved the plan. On October 1, 1968, the governments merged to create the Consolidated City of Jacksonville. Fire, police, health & welfare, recreation, public works, and housing & urban development were all combined under the new government. In honor of the occasion, then-Mayor Hans Tanzler posed with actress Lee Meredith behind a sign marking the new border of the \"Bold New City of the South\" at Florida 13 and Julington Creek. The Better Jacksonville Plan, promoted as a blueprint for Jacksonville's future and approved by Jacksonville voters in 2000, authorized a half-penny sales tax. This would generate most of the revenue required for the $2.25 billion package of major projects that included road & infrastructure improvements, environmental preservation, targeted economic development and new or improved public facilities." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa352", + "input": { + "question": "What are pharmacists forbidden to do?", + "context": "In most jurisdictions (such as the United States), pharmacists are regulated separately from physicians. These jurisdictions also usually specify that only pharmacists may supply scheduled pharmaceuticals to the public, and that pharmacists cannot form business partnerships with physicians or give them \"kickback\" payments. However, the American Medical Association (AMA) Code of Ethics provides that physicians may dispense drugs within their office practices as long as there is no patient exploitation and patients have the right to a written prescription that can be filled elsewhere. 7 to 10 percent of American physicians practices reportedly dispense drugs on their own." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa118", + "input": { + "question": "What type of compounds does oxygen most commonly form?", + "context": "Oxygen is a chemical element with symbol O and atomic number 8. It is a member of the chalcogen group on the periodic table and is a highly reactive nonmetal and oxidizing agent that readily forms compounds (notably oxides) with most elements. By mass, oxygen is the third-most abundant element in the universe, after hydrogen and helium. At standard temperature and pressure, two atoms of the element bind to form dioxygen, a colorless and odorless diatomic gas with the formula O2. Diatomic oxygen gas constitutes 20.8% of the Earth's atmosphere. However, monitoring of atmospheric oxygen levels show a global downward trend, because of fossil-fuel burning. Oxygen is the most abundant element by mass in the Earth's crust as part of oxide compounds such as silicon dioxide, making up almost half of the crust's mass." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa035", + "input": { + "question": "What was the name of the French colony established in 1564?", + "context": "Jacksonville is situated in the First Coast region of northeast Florida, centered along the St. Johns River, roughly 25 miles (40 km) south of the Georgia state line and about 340 miles (550 km) north of Miami. The Jacksonville Beaches communities stretch along the nearby Atlantic coast. Originally inhabited by the Timucua people, the area became the site of the French colony of Fort Caroline in 1564, one of the earliest European settlements in what is now the continental United States. Under British rule, settlement expanded near the river\u2019s narrow crossing point, called Wacca Pilatka by the Seminole and the Cow Ford by the British. In 1822, a year after the United States acquired Florida from Spain, a platted town was established there, named after Andrew Jackson, the first military governor of the Florida Territory and seventh President of the United States." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa377", + "input": { + "question": "Inspired by Shelley what was the name of Gandhi's doctrine?", + "context": "Following the Peterloo massacre of 1819, poet Percy Shelley wrote the political poem The Mask of Anarchy later that year, that begins with the images of what he thought to be the unjust forms of authority of his time\u2014and then imagines the stirrings of a new form of social action. It is perhaps the first modern[vague] statement of the principle of nonviolent protest. A version was taken up by the author Henry David Thoreau in his essay Civil Disobedience, and later by Gandhi in his doctrine of Satyagraha. Gandhi's Satyagraha was partially influenced and inspired by Shelley's nonviolence in protest and political action. In particular, it is known that Gandhi would often quote Shelley's Masque of Anarchy to vast audiences during the campaign for a free India." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa129", + "input": { + "question": "Which type of climate may have allowed the rainforest to spread across the continent?", + "context": "Following the Cretaceous\u2013Paleogene extinction event, the extinction of the dinosaurs and the wetter climate may have allowed the tropical rainforest to spread out across the continent. From 66\u201334 Mya, the rainforest extended as far south as 45\u00b0. Climate fluctuations during the last 34 million years have allowed savanna regions to expand into the tropics. During the Oligocene, for example, the rainforest spanned a relatively narrow band. It expanded again during the Middle Miocene, then retracted to a mostly inland formation at the last glacial maximum. However, the rainforest still managed to thrive during these glacial periods, allowing for the survival and evolution of a broad diversity of species." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa379", + "input": { + "question": "What are BSkyB's standard definition broadcasts compliant with?", + "context": "BSkyB's standard definition broadcasts are in DVB-compliant MPEG-2, with the Sky Movies and Sky Box Office channels including optional Dolby Digital soundtracks for recent films, although these are only accessible with a Sky+ box. Sky+ HD material is broadcast using MPEG-4 and most of the HD material uses the DVB-S2 standard. Interactive services and 7-day EPG use the proprietary OpenTV system, with set-top boxes including modems for a return path. Sky News, amongst other channels, provides a pseudo-video on demand interactive service by broadcasting looping video streams." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa218", + "input": { + "question": "By how much did Victoria's population increase after the discovery of gold?", + "context": "In July 1851, the Colony of Victoria gained independence from New South Wales. Shortly afterward, gold was discovered near Ballarat and Bendigo, triggering one of the largest gold rushes in history. This led to rapid population and economic growth. Within ten years, Victoria's population grew from 76,000 to 540,000, marking a sevenfold increase. The region produced record amounts of gold, including the world's richest shallow alluvial goldfields and the largest gold nugget." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa103", + "input": { + "question": "What could the Supplemental Nutrition Assistance Program purchase?", + "context": "The Daily Mail newspaper reported in 2012 that the UK government's benefits agency was checking claimants' \"Sky TV bills to establish if a woman in receipt of benefits as a single mother is wrongly claiming to be living alone\" \u2013 as, it claimed, subscription to sports channels would betray a man's presence in the household. In December, the UK\u2019s parliament heard a claim that a subscription to BSkyB was \u2018often damaging\u2019, along with alcohol, tobacco and gambling. Conservative MP Alec Shelbrooke was proposing the payments of benefits and tax credits on a \"Welfare Cash Card\", in the style of the Supplemental Nutrition Assistance Program, that could be used to buy only \"essentials\"." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa387", + "input": { + "question": "Zones in which mountains are built along convergent tectonic plate boundaries are called what?", + "context": "Among the most well-known experiments in structural geology are those involving orogenic wedges, which are zones in which mountains are built along convergent tectonic plate boundaries. In the analog versions of these experiments, horizontal layers of sand are pulled along a lower surface into a back stop, which results in realistic-looking patterns of faulting and the growth of a critically tapered (all angles remain the same) orogenic wedge. Numerical models work in the same way as these analog models, though they are often more sophisticated and can include patterns of erosion and uplift in the mountain belt. This helps to show the relationship between erosion and the shape of the mountain range. These studies can also give useful information about pathways for metamorphism through pressure, temperature, space, and time." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa210", + "input": { + "question": "What country uses the Bowl of Hygieia as a symbol of pharmacy?", + "context": "The two symbols most commonly associated with pharmacy in English-speaking countries are the mortar and pestle and the \u211e (recipere) character, which is often written as \"Rx\" in typed text. The show globe was also used until the early 20th century. Pharmacy organizations often use other symbols, such as the Bowl of Hygieia which is often used in the Netherlands, conical measures, and caduceuses in their logos. Other symbols are common in different countries: the green Greek cross in France, Argentina, the United Kingdom, Belgium, Ireland, Italy, Spain, and India, the increasingly rare Gaper in the Netherlands, and a red stylized letter A in Germany and Austria (from Apotheke, the German word for pharmacy, from the same Greek root as the English word 'apothecary')." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa253", + "input": { + "question": "When was the Holocene?", + "context": "At the begin of the Holocene (~11,700 years ago), the Rhine occupied its Late-Glacial valley. As a meandering river, it reworked its ice-age braidplain. As sea-level continued to rise in the Netherlands, the formation of the Holocene Rhine-Meuse delta began (~8,000 years ago). Coeval absolute sea-level rise and tectonic subsidence have strongly influenced delta evolution. Other factors of importance to the shape of the delta are the local tectonic activities of the Peel Boundary Fault, the substrate and geomorphology, as inherited from the Last Glacial and the coastal-marine dynamics, such as barrier and tidal inlet formations." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa457", + "input": { + "question": "What consequence of establishing the Scottish Parliament affects Scottish MPs in the UK House of Commons?", + "context": "The establishment of the Scottish Parliament created a procedural issue known as the West Lothian question. Scottish MPs in the UK House of Commons can vote on domestic legislation affecting only England, Wales, and Northern Ireland, while MPs from those regions cannot vote on laws passed by the Scottish Parliament. After the 2015 UK election, standing orders were changed to give English MPs a veto over laws exclusively affecting England." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa072", + "input": { + "question": "What is 'grey literature'?", + "context": "The IPCC does not carry out research nor does it monitor climate related data. Lead authors of IPCC reports assess the available information about climate change based on published sources. According to IPCC guidelines, authors should give priority to peer-reviewed sources. Authors may refer to non-peer-reviewed sources (the \"grey literature\"), provided that they are of sufficient quality. Examples of non-peer-reviewed sources include model results, reports from government agencies and non-governmental organizations, and industry journals. Each subsequent IPCC report notes areas where the science has improved since the previous report and also notes areas where further research is required." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa296", + "input": { + "question": "what other digital TV service took Sky UK Limited's most popular spot?", + "context": "Sky UK Limited (formerly British Sky Broadcasting or BSkyB) is a British telecommunications company which serves the United Kingdom. Sky provides television and broadband internet services and fixed line telephone services to consumers and businesses in the United Kingdom. It is the UK's largest pay-TV broadcaster with 11 million customers as of 2015. It was the UK's most popular digital TV service until it was overtaken by Freeview in April 2007. Its corporate headquarters are based in Isleworth." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa273", + "input": { + "question": "What vote on a bill takes place in Stage 3?", + "context": "Stage 3 is the final stage of the bill and is considered at a meeting of the whole Parliament. This stage comprises two parts: consideration of amendments to the bill as a general debate, and a final vote on the bill. Opposition members can table \"wrecking amendments\" to the bill, designed to thwart further progress and take up parliamentary time, to cause the bill to fall without a final vote being taken. After a general debate on the final form of the bill, members proceed to vote at Decision Time on whether they agree to the general principles of the final bill." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa346", + "input": { + "question": "In addition to English, what language is also often taught in Nepalese private schools?", + "context": "The other category of schools are those run and partly or fully funded by private individuals, private organizations and religious groups. The ones that accept government funds are called 'aided' schools. The private 'un-aided' schools are fully funded by private parties. The standard and the quality of education is quite high. Technically, these would be categorized as private schools, but many of them have the name \"Public School\" appended to them, e.g., the Galaxy Public School in Kathmandu. Most of the middle-class families send their children to such schools, which might be in their own city or far off, like boarding schools. The medium of education is English, but as a compulsory subject, Nepali and/or the state's official language is also taught. Preschool education is mostly limited to organized neighbourhood nursery schools." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa408", + "input": { + "question": "What was the period called that was 505 million years ago?", + "context": "Because of their soft, gelatinous bodies, ctenophores are extremely rare as fossils, and fossils that have been interpreted as ctenophores have been found only in lagerst\u00e4tten, places where the environment was exceptionally suited to preservation of soft tissue. Until the mid-1990s only two specimens good enough for analysis were known, both members of the crown group, from the early Devonian (Emsian) period. Three additional putative species were then found in the Burgess Shale and other Canadian rocks of similar age, about 505 million years ago in the mid-Cambrian period. All three apparently lacked tentacles but had between 24 and 80 comb rows, far more than the 8 typical of living species. They also appear to have had internal organ-like structures unlike anything found in living ctenophores. One of the fossil species first reported in 1996 had a large mouth, apparently surrounded by a folded edge that may have been muscular. Evidence from China a year later suggests that such ctenophores were widespread in the Cambrian, but perhaps very different from modern species \u2013 for example one fossil's comb-rows were mounted on prominent vanes. The Ediacaran Eoandromeda could putatively represent a comb jelly." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa301", + "input": { + "question": "What explains the relationship between force, mass, and acceleration?", + "context": "Newton's Second Law describes the relationship between force, mass, and acceleration. It states that acceleration is directly proportional to force and inversely proportional to mass. While kinematics can measure acceleration, the concept of mass remains debated, especially concerning quantum gravity. Newton's Second Law also serves as a way to define mass quantitatively by establishing units for force and mass." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa508", + "input": { + "question": "What unfortunate side effect can result from certain protests?", + "context": "Some forms of civil disobedience, such as illegal boycotts, tax refusals, draft dodging, and sit-ins, can disrupt societal functions, making them coercive. Brownlee notes that while civil disobedients aim for moral dialogue, they may resort to limited coercion to bring attention to their cause. For example, the Plowshares organization once deflated satellite domes to disrupt surveillance operations." + }, + "output": { + "answer": "" + } + }, + { + "id": "oqa031", + "input": { + "question": "What are the two primary constitutional sources of the European Union?", + "context": "Although the European Union does not have a codified constitution, like every political body it has laws which \"constitute\" its basic governance structure. The EU's primary constitutional sources are the Treaty on European Union (TEU) and the Treaty on the Functioning of the European Union (TFEU), which have been agreed or adhered to among the governments of all 28 member states. The Treaties establish the EU's institutions, list their powers and responsibilities, and explain the areas in which the EU can legislate with Directives or Regulations. The European Commission has the initiative to propose legislation. During the ordinary legislative procedure, the Council (which are ministers from member state governments) and the European Parliament (elected by citizens) can make amendments and must give their consent for laws to pass. The Commission oversees departments and various agencies that execute or enforce EU law. The \"European Council\" (rather than the Council, made up of different government Ministers) is composed of the Prime Ministers or executive Presidents of the member states. It appoints the Commissioners and the board of the European Central Bank. The European Court of Justice is the supreme judicial body which interprets EU law, and develops it through precedent. The Court can review the legality of the EU institutions' actions, in compliance with the Treaties. It can also decide upon claims for breach of EU laws from member states and citizens." + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Organization-Recognition/annotation.json b/Scope-A/S-A-Quick/nlp/Organization-Recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..abca10c6b08cf4498523a31877c7b1c29bc0ffa5 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Organization-Recognition/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "organization_recognition", + "data_source": "conll2003", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0005", + "input": { + "raw_text": "are absolutely fundamental , \" Zieleniec , who is also vice-premier in the government , told Reuters .", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0147", + "input": { + "raw_text": "The official TASR news agency said the explosion blew out all ground floor windows of Frantisek Gaulieder 's family home in Galanta , western Slovakia , and damaged the main entrance , but no-one was injured .", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0073", + "input": { + "raw_text": "In no way can Iraqi involvement be seen as helpful , \" said a Foreign Office spokesman .", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0287", + "input": { + "raw_text": "Real Madrid to win Barcelona to win", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0259", + "input": { + "raw_text": "-- London Newsroom +44-171-542 7717", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0350", + "input": { + "raw_text": "PITTSBURGH 56 78 .418 16", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0012", + "input": { + "raw_text": "NY JETS AT NEW ENGLAND", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0485", + "input": { + "raw_text": "COLORADO AT ST LOUIS", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0452", + "input": { + "raw_text": "Police have detained 26 suspected members of Egypt 's largest militant group al-Gama'a al-Islamiya ( Islamic Group ) , government newspapers reported on Friday .", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0118", + "input": { + "raw_text": "VfL Bochum 16 7 6 3 23 21 27", + "prompt": "<<>>. Extract all organization names from this text. Format each organization as 'organization => ORG' and separate multiple organizations with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Paraphrase-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Paraphrase-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b9104464082bf21a98a0dea6ba573dc01da98810 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Paraphrase-Generation/annotation.json @@ -0,0 +1,196 @@ +{ + "task": "Paraphrase Generation", + "type": "Paraphrase Generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "pg277", + "input": { + "originalSentence": "Jim is not a lawyer but a doctor." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg226", + "input": { + "originalSentence": "He's just a small-time thug, but if he had just a little more moxie, he could be a big-time boss." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg464", + "input": { + "originalSentence": "Quick! Quick! do you not see the rosy streak in the sky? In a few moments the sun will rise and then you must die!" + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg317", + "input": { + "originalSentence": "Let's not beat around the bush here! I'm pregnant, and you're the kid's father." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg258", + "input": { + "originalSentence": "I didn't know I'd have to do that today." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg063", + "input": { + "originalSentence": "Can you take care of the kids for a moment?" + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg492", + "input": { + "originalSentence": "Recent studies suggest that this isn't the case." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg308", + "input": { + "originalSentence": "Kids shouldn't be in here." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg014", + "input": { + "originalSentence": "About how many hours does it take to get to Australia from here?" + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg478", + "input": { + "originalSentence": "Revenge is an endless cycle." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg055", + "input": { + "originalSentence": "Ben is not as young as he looks." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg268", + "input": { + "originalSentence": "I know that Tom isn't a very good businessman." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg192", + "input": { + "originalSentence": "Get out of my room." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg094", + "input": { + "originalSentence": "Don't make a fool of yourself." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg528", + "input": { + "originalSentence": "Tom said Mary ought to do that, too." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg220", + "input": { + "originalSentence": "Have you read any interesting books lately?" + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg472", + "input": { + "originalSentence": "Rather than cutting down on cigarettes, why don't you just give them up?" + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg479", + "input": { + "originalSentence": "Rome was sacked by Ostrogoths in 546AD." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg204", + "input": { + "originalSentence": "Goodbye, Tatoeba. It was great fun." + }, + "output": { + "paraphraseSentence": "" + } + }, + { + "id": "pg562", + "input": { + "originalSentence": "Unless I am mistaken, I've seen that man before." + }, + "output": { + "paraphraseSentence": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Part-Of-Speech-Tagging/annotation.json b/Scope-A/S-A-Quick/nlp/Part-Of-Speech-Tagging/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..bc48ba9d5ce95e7e62c297ad892bf2178031f2a9 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Part-Of-Speech-Tagging/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "pos_word_extraction", + "data_source": "pos_tagging_dataset", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0204", + "input": { + "raw_text": "Yuppily enough , he lives in a lavishly furnished converted church , wears designer clothes and drives an antique car .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0228", + "input": { + "raw_text": "These expenses create a special incentive for `` Capital City 's '' producers to flog it , or a Yank-oriented version of it , in America .", + "prompt": "<<>>. Extract all words with POS tags adjectives (JJ, JJR, JJS) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0156", + "input": { + "raw_text": "And a large slice of the first episode is devoted to efforts to get rid of some nearly worthless Japanese bonds ( since when is anything Japanese nearly worthless nowadays ? ) .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0420", + "input": { + "raw_text": "`` We 're really confident everything will bounce back to normal , '' he added .", + "prompt": "<<>>. Extract all words with POS tags adverbs (RB, RBR, RBS) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0314", + "input": { + "raw_text": "Hoylake dropped its initial # 13.35 billion ( $ 20.71 billion ) takeover bid after it received the extension , but said it would launch a new bid if and when the propsed sale of Farmers to Axa receives regulatory approval .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0279", + "input": { + "raw_text": "As part of the agreement , Axa agreed to invest $ 1 billion in Hoylake Investments Ltd. , Sir James 's acquisition vehicle .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0311", + "input": { + "raw_text": "The amended filings were required because of the new agreement between Axa and Hoylake , and to reflect the extension that Sir James received last month under British takeover rules to complete his proposed acquisition .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0455", + "input": { + "raw_text": "Mr. Savoca succeeds William H. Borten , who resigned to pursue personal interests .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0406", + "input": { + "raw_text": "Chrysler Corp. had a 7.5 % drop in car sales , echoing its generally slow performance all year .", + "prompt": "<<>>. Extract all words with POS tags adjectives (JJ, JJR, JJS) from the text and separate them using comma." + }, + "output": { + "text": "" + } + }, + { + "id": "0104", + "input": { + "raw_text": "Let 's make that 1929 , just to be sure .", + "prompt": "<<>>. Extract all words with POS tags verbs (VB, VBD, VBG, VBN, VBP, VBZ) from the text and separate them using comma." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Pathology-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Pathology-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7dd462f7123651a90e8119ac92e41acbbf96766f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Pathology-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "pathology_ner", + "data_source": "trialsieve", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0038", + "input": { + "raw_text": "Of these, 620 have been studied for up to nearly 4 years, and a further 440 have been studied in comparative trials for 3 months", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0430", + "input": { + "raw_text": "A mean (SD) total cholesterol concentration of 5.2 (0.8) mmol/l was achieved after combined treatment for 1 year which was maintained at annual follow up", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0131", + "input": { + "raw_text": "The incidence did not differ significantly with fluoxetine and placebo (p = 0.141) or tricyclic antidepressants (p = 0.542)", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0419", + "input": { + "raw_text": "Bone mineral content was -0.002 +/- 1.2 standard deviation scores in patients and 0.3 +/- 1.4 in controls (t = 1.17; P = 0.25)", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0404", + "input": { + "raw_text": "Two-hundred and eighteen patients were initially treated with combined chemotherapy CEOP-bleo (cyclophosphamide, epirubicin, vincristine, prednisone, bleomycin) alternating with DAC (dexamethasone, cytosine arabinoside, and cisplatinum)", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0354", + "input": { + "raw_text": "Treatment of multiple myeloma with an intensive 5-drug combination or intermittent melphalan and prednisone; a randomised multicentre trial", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0218", + "input": { + "raw_text": "A prospective, randomized, controlled trial of prednisone for dilated cardiomyopathy", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0291", + "input": { + "raw_text": "In contrast, patients treated with hexamethylmelamine plus prednisone had a 22% objective response rate, with another 14% showing lesser degrees of objective improvement", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0120", + "input": { + "raw_text": "Fluoxetine and suicide: a meta-analysis of controlled trials of treatment for depression", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0490", + "input": { + "raw_text": "After placebo, mean BH was significantly increased above base line at 24 and 48 h (P < 0.02)", + "prompt": "<<>>. Extract all pathology entities and their types from this text. The possible entity types are: Disease/Condition of Interest, Dosage, Drug Intervention, Follow-up period, Group Characteristic, Group Name, Intervention Administration, Intervention Duration, Intervention Frequency, Non-Pharmaceutical Intervention, Non-Study Drug, Outcome (Study Endpoint), Quantitative Measurement, Sample Size, Side Effects, Statistical Significance, Study Duration, Study Years, Type of Quant. Measure, Units. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Person-Recognition/annotation.json b/Scope-A/S-A-Quick/nlp/Person-Recognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..de7a34bc0a2a869cea32340fa32112ab63d4e4f6 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Person-Recognition/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "person_recognition", + "data_source": "conll2003", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0052", + "input": { + "raw_text": "But they started the second half where they had left off and it was not long before they went four up , Ko Jeong Woon heading in from a free kick in the 55th minute .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0155", + "input": { + "raw_text": "The Briton , who lost his World Boxing Council ( WBC ) title to Mike Tyson in March , said : \" I was in shock as soon as he told me and it still has n't really sunk in .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0382", + "input": { + "raw_text": "Bottom team Reggiana are also without a suspended defender , German Dietmar Beiersdorfer .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0210", + "input": { + "raw_text": "Duffy Waldorf , who also tied for second at the World Series of Golf , carded a 70 to lead a group of six golfers at 13 under , including Kraft .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0168", + "input": { + "raw_text": "3. Gunn Margit Andreassen ( Norway ) 24:00.4 ( 0 )", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0159", + "input": { + "raw_text": "28. Grete Stroem ( Norway ) 1:51.07", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0384", + "input": { + "raw_text": "9. Tatian Stiajkina ( Ukraine ) 3:52.204", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0097", + "input": { + "raw_text": "Inzamam-ul-Haq c Thorpe b Croft 6", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0286", + "input": { + "raw_text": "Summary of game played in the Spanish first division on Saturday : Deportivo Coruna 1 ( Corentine Martins , 22nd minute ) Real Madrid 1 ( Roberto Carlos 79th ) .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0108", + "input": { + "raw_text": "Pace bowler Ian Harvey claimed three for 81 for Victoria .", + "prompt": "<<>>. Extract all person names from this text. Format each person name as 'name => PER' and separate multiple names with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Personality-Analysis/annotation.json b/Scope-A/S-A-Quick/nlp/Personality-Analysis/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1f7a8d4c94aea5ad4a2c34f93ecb05818bf3fe97 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Personality-Analysis/annotation.json @@ -0,0 +1,217 @@ +{ + "task": "personality_analysis", + "data_source": "essays2007_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0020", + "input": { + "raw_text": "I'm writing my first college paper I guess you could call it a paper no offense off course it is a relief from some of the reports I wrote in high school I'm already missing high school a little bit but I wouldn't give up the fun I'm having now for anything especially my home town LOCNAME anyways its 0:00 and guess ill quit writing about 0:00 the music I'm listening to is way too loud but for some reason it helps my feelings just flow onto the paper better if I keep going at this pace this paper could be very long its 0:00 now whoa I've all ready thought of a lot of things right now I'm at study hours for my frat phi kappa sci baby yeah woo hoo that has been an experience I've never met some any people so fast in my life it makes college life like twice as fun and I would recommend a frat to any guy its not just the drinking either which is what everybody seems to think speaking of drinking my court appointment has even been made for my contributing but I can't get into that because my mom said so I actually talk to my parents a lot more than I thought I would my mom is still doing my laundry that is a sweet deal I'm not going to mess up my dad is pissed because he doesn't think I'm taking enough responsibility or something like that the little paper clip dude with eyes is kind of freaking me out right about now he keeps giving me these weird looks there are a bunch of weird people here at LOCNAME it doesn't seem fair for me to be so quick to judge but I can't help it", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0408", + "input": { + "raw_text": "I feel as if my life revolves around a world full ORGNAME unanswerable questions. I cannot seem to find what it is that I want out of life. There are so many options and turns where I can easily decide to follow, but I am so inconsistent of what I truly feel passionate about. I wake up in the morning and step outside of my dormitory daily smelling the fresh air. Everyday it seems as if there is something I have not witnessed before. I need answers to my life. I am a person that does not go through the day easily without understanding why things are the way they are. I am a first year student at the ORGNAME of ORGNAME and I have been bombarded with hundreds of organizations and choices that will lead me somewhere in the next few years. Not only academically has this burden faced me straight on, but I am confused about a girl I have met as well. As with the hundreds of organizations, there are hundreds of girls I see in and out of my classes. Do I really want a relationship so soon? And further, can I handle a girl that is apart of the Greek system knowing that I will never have a desire in joining one in the future? It is so hard to choose a path when you analyze your choices to death. For instance, if I decide to discontinue dating this wonderful girl just because I will not be able to tolerate her constant consumption of alcohol and nightly partying with other fraternity guys, will this decision have been the most appropriate one? Or is it possible I may be a bit too judgemental of her capabilities of being a loyal girlfriend? In addition to my social", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0448", + "input": { + "raw_text": "I've been thinking a lot lately on the topic of studying other people, using them as test subjects, objectifying human beings, I really feel that it degrades their very being. I don't understand another human's need to study and examine what makes another human tick. I wish that I could say that I am exempt from this curiosity, but sadly I am not. I find myself hypocritically fascinated by the way that people lose themselves in their jobs, in causes, in religion. They somehow manage to pound it into their heads that whatever it is that they're involved in is important, means something, when in reality 000% of professions and causes are just as pointless as the lives of the people lost in them. None of it will rally matter once these people are gone, and the strange thing is that I think they all know this deep down, they've all had that thought in their life before. Yet they still go on, slaving their lives away, building the modern day pharaoh's modern day pyramids. Just pawns to those that were lucky enough to be born into wealth. God only knows what they would do if they were forced to face the reality of their banal situations. Which raises another good topic, religion, now everyone knows that religion is make-believe for grown ups, just another thing to keep perpetuating the myth that our lives matter in some deep and profound way. Religion as we know it was made to control the masses, sort of a justification for law, and also something that keeps people inline above law, like a conscience. But the religions that we have come up with are so ridiculous we have to implement them to our young at ages when they are too young to tell the", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0071", + "input": { + "raw_text": "\" Stream of Consciousness \" Everyday about now, I am still sleeping. I feel good just having barely six hours of sleep. I thought I would be feeling more tired and exhausted, but It has not hit me yet. This morning, while watching ORGNAME, and still seeing the coverage of Princess PROPNAME, made me sad. It makes me think why everyone in that crash died and the bodyguard did not. He had ten hours of surgery. What pain I thought. I kept on asking myself why did G-d let him live. Why not someone like Princess PROPNAME who did so much for the world and has two young boys to help grow up. She did so much for other people. She even raffled her dresses of for charity. What a women. I'm feeling a little bit tired now. The psy experiment I did today was a fun experiment. I enjoyed it. I sat next to a cute girl. I hope today's classes will go fast. I would like to take a nap today. Just to sleep and rest for an hour. It was nice seeing one of my brothers in my fraternity on campus today. It was a nice surprise. Also, I saw one of my friends from home on campus. It is exciting walking home from campus or going a different route because of the unexpected people you see or new or old friends you see. My mother went on business and I hope she is doing well. I hope she got well rested today. I hope to talk with my sister and she how well she is doing. I try to put myself in a better mood everyday. I think about a lot of things and it gets me worried. An example is I worry about friends, family,", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0028", + "input": { + "raw_text": "Why in the world am I doing this at one thirty in the morning? On a weekend? I hope teri doesn't get back until Tuesday, I can't wait to switch rooms. It's funny that she complained about me too. I haven't figured that one out yet. radio stations come in better at this time of day. I kinda wish I was able to go home, I don't like being on a deserted campus. mark is getting annoying. not really. I just don't know what to tell him because I've never been in his situation before. and it's frusterating to have him ask me for advice, and not have any to give him. I love him to death, and it hurts that he's upset and I can't do anything about it. he reminds me of daddy, that's probably why we get along so well. PROPNAME is not the person I thought she was. I can't believe that we were all friends not 0 months ago. I guess I should have noticed, she did the same thing to zack and thomas. I don't understand how someone so smart can be so wild. those two traits don't usually go together. I wonder if PROPNAME is having fun at the lake. she's lucky to have her family live so closely. why does this campus insist of having concert by people who are so outdated? why can't creed come or some band like that? this isn't as hard as I thought it was going to be. I feel guilty about going not going to church. listening to this tape shouldn't be a substitituion for actually going. I think that's what scared teri so much, all the Bibles on my desk. Oh well. Something tells me that my non Christian friends are rubbing off on me", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0098", + "input": { + "raw_text": "This is a very interesting time right now. Right now, I have so many different feelings inside me right now. This is a new part of my life, yet it does not feel all that different. I guess it's because there are so many familiar faces here and I'm still pretty close to home. I'm kind of glad about that, it makes me feel much more secure. I really want to take full advantage of my college life. I want to meet people, I want to have fun, I want to experience everything, and I want to do all that and keep myself on track. I signed up for a ballet II class and a street jazz class over at the union the other day. I figured that while I did not want to get heads over heels into dance again, I definitely didn't want to give it up because I still love it, so this was great for me because it will be a casual class and it's basically right across the street from me. I also signed up for an informal ice skating class. Figure skating was such a big part of me, but when I got too busy with LOCNAME, I had to stop, so I figured that now was the perfect time to start again. I knew it would be a beginner class, but I figured that it'd be good to work on basics. I took the bus there, got there late, and they were doing twofoot glides. No offense, but it truly was a beginner class. Afterwards, PROPNAME (the teacher) saw me jumping and spinning on my own, so she's putting me in the more advanced class after the beginner class, which was really cool. I also met these two girls, PROPNAME and PROPNAME, who", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0322", + "input": { + "raw_text": "today is a bad day. my boyfriend and I of 0 years just broke up because he is at another university and is rushing right now. I have always been the center of his world and now he acts like he doesn't even want to talk to when except for when it is convenient for him. His roommate told me last night that he has cheated on me and when I first heard that I got so sick to my stomach and had to run to the restroom. PROPNAME, has been the ony guy that I have ever loved and I thought I would marry him. we spend holidays together and I am already a part of his family and he is part of mine. To think of him being with someone else just kills me and I am so torn up right now that I cannot concentrate on anything but him. I had to end it because I cannot continue to be hurt when all I have done is devote my whole life to him. he assured me all summer that things would be fine with us apart and that if he was to join a fraternity that it would never get in the middle of what we had together. My thoughts are horrible right now and I NEVER thought that I could feel so hurt and ashamed. My biggest fear is that he won't even care because he will just move on since he is so involved and has so many opportunities to meet other girls. PROPNAME has been the sensitive one in our relationship since day one and he was always worried about me forgetting about him. he was always the one that couldn't stand not to see me for one day, and he was so in", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0153", + "input": { + "raw_text": "So I\u2019m sitting here typing about whatever is on my mind. Well, a whole lot is on my mind right now, like what the hell am I supposed to do about my car. Good Lord, that's all I needed, my care to really mess up on me. But anyway, right now, I\u2019m really missing my girlfriend. She is all that consumes my thoughts, so a random progression of my subconscious thoughts will most likely be all about her. I really know how much she means to me now that I went back home to see her. Enough about PROPNAME. Thinking consciously about her will just make me very sad. I was thinking about acid the other day, you know, LSD. I was told that PROPNAME PROPNAME, author of \"Alice in Wonderland\", was having one hell of a trip when he wrote the book. That would explain some of the messed up things that he wrote about, but I think that if he had tapped into his own subconscious, he would have been able to write about the same stuff. I mean, LSD allows you to see things that you normally would not see on your own, but I think that deep within your own consciousness, that is what you would really see. For example, I have a friend that said that the ceiling looked like it was dripping, due to all of the little bumps on it from paint. If you look at a ceiling like that long enough, with a clear head, I believe that you would see the exact same thing. I guess that the only reason this kind of pisses me off is that there are so many people that believe that really messed up art, music, and literature can only be created by some one who", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0074", + "input": { + "raw_text": "I hope no one heard me yelling and screaming for the ORGNAME game. That was the most awesome season opener I have ever seen. I really haven't been keeping up with the Boys but I'm glad I got to watch them. I really have been missing football. I can't believe I haven't even been to the ORGNAME games. I watched their games more when I wasn't even a student here. I guess I got so caught up in the ORGNAME mania happening in my city. That excitement will be hard to beat. I remember the night the ORGNAME won the championship I was downtown because my friend since first grade was having a graduation party at LOCNAME LOCNAME. I knew I had to go since I was so close to her family for so long. Her mom was my coach. I still call her Coach. Anyways, PROPNAME promised that there would be a tv there for me to watch the ORGNAME game because I am a die-hard Spurs fan. Several years ago when they would play really well during regular season but then lose in the playoffs, I would go in the guest room, put my head under the pillow and start to cry. I was embarassed that I was crying but my hopes had gotten so high and they had really let me down. So when they finally had an awesome chance at winning the ORGNAME title, you better believe that I wanted to witness it. I was so disappointed when my friend didn't have a tv at her party. I seriously wanted to cry. I am not just one of those fans who likes their team only when they're winning. I had been waiting so many years for that night and then I didn't even get to really", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0316", + "input": { + "raw_text": "I'm really happy I started my workouts today even though I feel awful right now. I need to get back in the shape I was before the marathon. I don't really feel like going out tonight at all but I have to go because I promised my friends. I'm not really big into parties I think they are sort of stupid I'm always really uncomfortable because I don't really know that many people except the guys they go with and I feel really weird just following them around. oh well it doesn't really matter I guess everyone there is drunk anyways I really want to go home this weekend and see zach I really miss him a lot I wish we could have both gone to the same school but we Couldn't. thanksgiving is really far away and I don't know if I can wait that long to see him. We have been friends so long it feels really weird not seeing him everyday there are some good things about being here I never have to see ross or trevor I hate those guys. I would like to lie and say they taught me something about myself balhaablaha but zach was right I never needed either or them. Dating zach is so weird but being friends first makes it more special. I really miss PROPNAME I can't believe she is going into the army in two days LOCNAME is so far away and I can't believe I won't see her for two more years. PROPNAME is at texas state with nathan and says she loves it I hope her and blake get back together she just loves him so much I feel bad that she's sad about them breaking up with him and I don't really know what to tell", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0152", + "input": { + "raw_text": "Today has not been a very good day for me. I found out that my roommate is secretly dating my ex-boyfriend behind my back. My friend and I caught them together last night in the courtyard outside of my dorm. This is one of the worst feeling I have ever felt. I am dating a boy right now, but the feelings for my ex have started to resurface. She fully knows that I like him, but she is deceiving me. I was very irritable today and I was rude to a lot of people. I really am not a rude person, I just do not understand why people find it necessary to take advantage of my niceness. I went to PROPNAME's last night to pick up some to go food. It is sitting in my refrigerator and I am very anxious to eat it. I already had some chips, salsa, queso, and guacamole today. I love Mexican food. I have a French test tomorrow. This is our second test. I thought I made an A on the last test, but when I got it back I found a much lower grade. It upset me, so I am going to study very hard for this test. Right now I have a 0. 0 at the university, and I want to keep it as close to that as possible. I have noticed while typing this that I never capitalize 'I'. I have gone back and fixed my work at least ten times. I am used to typing informally online, where grammar and capitalization does not matter. My roommate just left for an environmentalist meeting, and I wanted to go read some of her AIM logs. So, I walked over to her computer and was starting to read some when the door started", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0232", + "input": { + "raw_text": "Man these computer labs on campus are so sad, everybody seems dead. I guess its probably because its sunday. I feel tired too wish I could go to sleep. I guess I would if I didn't have all this work to do. can't believe its already 0 weeks into school. it still feels like summer. well I guess before I know it its going to be finals. man I need to call nathan and get that HW of him. wow that girl is pretty hot. she probably is not that hot but I guess being in the engineering school you got to accept what you can get. man I wish I didn't do engineering. can't believe its been 0 years. I really hate it but I guess it will get me a job. I guess that is why I did engineering. I wish I had done architecture. I can't draw but still its seems so much more fun. I used to suck at drawing in high school. I guess its a talent. man I wish those two girls would shut up they have been liking whispering for 00 minutes. I hate people who whisper I rather them just talk loud, even though its lab. its very irritating. thank god she left. man I can't believe dallas lost that game. they played so damn carp. so much for paying bill parcells 00million bucks. they are never going to win if they don't get a new QB. carter sucks, its been like 0yrs they should realize he can't play. well screw it. I so want to be done with school, I can't believe these freshman classes. they all look like a bunch of kids, they seem so damn enthusiastic and happy to be in school. it will be funny to see them", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0430", + "input": { + "raw_text": "I just waited 00 minutes for a bus to come and pick me up from the nursing building. in the dark and I got very agitated and edgy. Every car of course had their headlights on and a million cars must have passed by me. I'm still seeing spots even now. I'm upset because I think everyone has forgotten me since I moved off to college. I guess they do. I do feel like a number here at LOCNAME despite what they say about getting involved. Every night I come home excited to see if I got any e-mails, messages or mail- but I hardly ever do. They're ALWAYS for my roommate. I still expect to wake up in the morning and see my old room at home, but I get a nasty feeling in my stomach when everything comes into focus and I realize that I'm in some unusual place. and then I realize its my dorm room. Everyone told me the first week would be toughest and that everything is downhill on an easy ride from there. But it isn't working that way for me. Everything is going WAY uphill and the climb is getting even harder than my first week. I want to go home next week and see my family and my dogs, but I know if I do I won't want to come back and it will be even worse than my first day here because I know how awful it can be now and I will dread that returning again. I'll wait until I get on my feet to go back. Does this page keep moving down? The phone just rang again and of course it was for my roommate. She has to call her mom when she gets back. Then she'll hog the", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0197", + "input": { + "raw_text": "It seems weird that PROPNAME is in the same philosophy class as me since we both live in the same neighborhood back in LOCNAME, even though we have never really met each tother before. She says she is planning to bvisit houston quite often, but I don;t think I will as often as her. Its not because I don't want to go home, but its partly that I feel independent here even though not monetarily. Also, I would like to get the chance to vistit austin and get to know m y surrounding before going back to the norm and comfortableness of my true home; austin is my new temporary home. PROPNAME said he missed home the very first day; I don;t think I really miss home that much, maybe because of the contradictory or hyppocritical views I sometimes have of things in houston. I wonder if my schedule conflict involving ba000 will be settled with out further conflict; I can't afford to miss psychology atfor ba000 once a month, yet I cannot afford to lose sight of ba000. Hopefully, this PROPNAME or brian character will be able to sufficinetly change my course schedule since tex won't allow me to do it any more. It seems that I got a lot to do today, yet at the moment it doens't seem as anything is concrete, expect some homework arbitrarily. Its only been 0 minutes and its seems as though I have been typing at leat twice that long. I wonder how my mind will wonder to the next stream of unconsciousness. Philosophy seems to be an interesting class even though the reading is quite strenuous. PROPNAME must have been the master at breaking people's arguments; he would have been a great attorney or lawyer. Which reminds me, what exactly is", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0433", + "input": { + "raw_text": "Right now i am in my dorm room recovering from classes and preparing for an evening filled mostly with studying. My ears are receiving the wonderful sounds of PROPNAME PROPNAME, Jackopierce & PROPNAME PROPNAME, and also PROPNAME PROPNAME ( a Camp Allen classic). I can not say that i am smelling anything particularly because my sinuses are acting up after a game of soccer last night. I guess there is just something about the grass down by the ORGNAME fountains that fires up my histamines. I am feeling a little anxious and stressed right now. I woke up at 00:00 this morning just as my first class was starting. This class is small and very much attendance based, so i could not simply skip it. I had to rush out the door and i believe that this rush has caused me to feel as though in race all day. The stress comes from the inability to finish a project for that class as a result of my oversleeping. I know the professor was not proud and i am afraid my grade will suffer as a result. I want to keep my grades up so that i will be able to easily transfer to any school because right now i do not believe that i will be able to cut it for 0 years in architecture school. For now i am committed to finishing this semester and evaluating things from there. My mind just wandered back to Psychology class today. Dr. PROPNAME really angered me when he suggested that one of the greatest christians of all time and that spirituality and religion are all frauds and conjured up by our temporal lobes. He said that PROPNAME saw a vision of Christ after he fell on the road to damascus because he", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0358", + "input": { + "raw_text": "Ok I'm thinking about old school ORGNAME man those were the days, my friend PROPNAME had a lot more game than I did but I did not meet him till 0th grade and until then I though I had a lot of games, which I guess is saying your happy with what you got till some on else gets more than you and then jealousy sets in but id like to think I've grown somewhat sense then . I remember a science tech class I used to take in 0th grade. all years go back to 0000 almost everything has some tie in my mind to 0000 I don't know why and It pops up o very often. It's Like velma from scooby do all cartoons go back to PROPNAME, I guess you'd have to see Cartoon network to understand it, m thinking of my mom It's odd but I sometimes worry that she worries too much about me, she was really overprotective but very loving, and now I still have feelings like hatred for being held back by her over protectiveness. SO whenever we are together I try to make sure she doesn't think I turned out goo because some how I still feel a grudge against her methods and think I missed out too much when I was little. nnnnnnnnnnnn captain N that was a cool cartoon. hmmm I wonder I caryn is around or PROPNAME they are kind of friends of my best friend so It kind of awkward but I think they really like me more than I deserve because PROPNAME always says things to them about me and well I'd like to get to know them better but It awkward because he was friends with them first . I reorganized my room this ear it", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0067", + "input": { + "raw_text": "Right now I have a serious feeling of relief. It is the night after my first day of college, and it feels nice to be home. My legs are tired. I miss my dog and my boyfriend. I wonder what he is doing right now. I hope I am doing this right. I guess there is no right or wrong when it comes to my thought process. I guess it just happens the way it wants to. I hope that I can get back into the whole school \"flow\" again. I hope that I can get into it enough that I can get into the business school. I can feel you laughing at me already. Everyone seems to think that I can't do it. I know I can. I will. My mind is blank. I am so worn out. I haven't walked so much in one day than I did this afternoon. I hope I am not sore tomorrow. I need to find out where I need to go in the morning. What time do I have to wake up? My class is at nine thirty. Great! Why hasn't my boyfriend called me? He was supposed to an hour ago. Wonderful! Oh, I have to call my mom. I wrote a check today that I have to tell her about. How much was that thing? That reminds me. I have to set up Telesys tomorrow. Just one more thing to add stress to my day. I should work on my typing. What is that noise? I need to take a shower. Maybe I will wait until morning. I should call all my friends back home to give them my new house number. I wonder how college life is going for them. LOCNAME started late this year. Thank God! I don't", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0399", + "input": { + "raw_text": "this job is going to drain me if I don't say something to these people I think they're too spoiled 0 minute almost done okay want to go home oh but yeah I need to check pretesting this is the longest minute okay bye.", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0312", + "input": { + "raw_text": "Its really cool being able to see all of my friends and hang out. Yet, I feel like I'm somewhat out of place. It was really strange coming home yesterday. As soon as we came into town, it felt like I was in some kind of mirage. It was like I was dreaming and it still feels that way. I really need to do a lot of homework but I don't think I'm going to get a whole lot done, considering the circumstances. I went to our high school football game last night. Wow, was that strange. I saw some old friends and it just felt so strange. Its going to be even worse going back, because now that I've seen everybody I somewhat want to stay. But, on the other hand I need to go back, have to go back, and I do want to go back. I've met people and I still want to meet more people. I've had a lot of fun down there, and so I want to go back. I have too much homework now. Uhhh, that sucks. Well, the ORGNAME football game is on and they're already losing! I guess it is ORGNAME, but come on guys. Oh well, I guess I'm supposed to be talking about my college experience. So, anyway, I don't know, I'm getting adjusted pretty well to the university. I love the campus. Absolutely, love it. The buildings, especially in the six pack, and with the view of the capital and the tower is just amazing. I'm from LOCNAME and the LOCNAME area is just so much nicer and I feel so much safer. There's not a lot of places like that up here, but it seems like everywhere in LOCNAME is like that. I've been down to the river,", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + }, + { + "id": "0359", + "input": { + "raw_text": "Ok. I really don't know what I am supposed to be doing. I am just thinking. Hmmm. What am I thinking about. my stomach is growling. oh look its my jeremy camp cd I have not listened to that in a while. I wonder if carrie and I will drive to the concert in abilene on thurs. I don't want to make her go if she does not want to. hmmm. thirsty now. why is this water bottle green. that color is not so great to look at. interesting. thank goodness its friday. I miss home. college is not as easy as I thought it would be. its too quiet in this room. I can't stand it being so quiet. I want to get up and have someone to talk to but no one is here. What is up with my stomach. Its jumping around in knots. Goodness gracious. Mmm. M&ms look good in that cup over there. Ok. Five minutes have passed. it was not so bad. I have so much to do today. I have to get my cell phone fixed with some more minutes. I wonder if they will make me sign another contract. My mom might be right about that. I need to make a list. Right after I am done with this that is what I will do. Wonder when PROPNAME's class ends. I bet she is sleeping. Art history can't be that fun. My mouth is watering because of all of the hunger. What am I to do. Its all about willpower. The football game is too early tomorrow. I need to figure out if I need to move my car out to the garage. Why don't the stupid people keep me informed. Its crazy, I pay 000 for a parking space but you", + "prompt": "<<>>. Based on the text, is the author emotionally stable or neurotic? Provide only the category name as output" + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Philosophical-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Philosophical-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..938635dba19d6c22bf9c4cf6a9c5d062fa9ded26 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Philosophical-Question-Answering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Philosophical Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "pqa434", + "input": { + "question": "What common ground do Brentano and Kant share regarding the nature of judgment?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa043", + "input": { + "question": "What is the goal of experimental philosophy research that critiques traditional philosophical methods?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa301", + "input": { + "question": "Who suggests that the structure of our perceptual field has a logical dimension?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa124", + "input": { + "question": "What is the field of study dedicated to examining the formal aspects of action?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa357", + "input": { + "question": "What belief did Perry develop that explains his shift in behavior when he realized what was happening in the supermarket?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa496", + "input": { + "question": "How does Douglas Futuyma define evolution in his textbook?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa491", + "input": { + "question": "According to Garrard, what role does the concept of evil play in explaining actions?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa415", + "input": { + "question": "What motivates feminist philosophers to engage with the concept of scientific objectivity in biology?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa389", + "input": { + "question": "What key shift in the study of biodiversity occurred in the mid-1980s with the introduction of a new term?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa291", + "input": { + "question": "How many premises are provided in the Middle Commentary for defining motion?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa040", + "input": { + "question": "How have traditional philosophical methods typically used intuitions to advance philosophical inquiries?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa080", + "input": { + "question": "What does Abelard think is a more serious threat to the proper use of reason in religion?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa190", + "input": { + "question": "What was the objective of al-R\u0101z\u012b as an alchemist?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa094", + "input": { + "question": "Which philosophers are known for advocating the modal distinction between essential and accidental properties?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa453", + "input": { + "question": "In what historical and intellectual context did Hegel write his *Phenomenology of Spirit*?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa358", + "input": { + "question": "What is a key problem with the view that communication is simply a transfer of beliefs from speaker to listener?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa222", + "input": { + "question": "What forms can the object of alienation take?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa459", + "input": { + "question": "What is one proposed approach to addressing the issue of coinciding objects that involves rejecting extensionality?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa252", + "input": { + "question": "What role does the introductory section of the article play in relation to the concept of analysis?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa036", + "input": { + "question": "What is the stance of ontological nihilists regarding the abstract/concrete distinction?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa199", + "input": { + "question": "When is it believed that Albertus Magnus started his studies at the University of Padua?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa096", + "input": { + "question": "What characterizes an essential property according to the modal approach?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa172", + "input": { + "question": "What is the nature of the First Existent in Al-F\u0101r\u0101b\u012b's philosophy, and how does it relate to Aristotle's unmoved mover?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa099", + "input": { + "question": "How do philosophers use possible worlds to explain essential and accidental properties?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa393", + "input": { + "question": "Why is there ambiguity in developmental biology about what constitutes a theory of development?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa369", + "input": { + "question": "When was the doctrinal paradox, which demonstrates the risk of collective irrationality in judgment aggregation, first identified?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa102", + "input": { + "question": "Can you provide an example of a necessary truth that is not a logical or mathematical truth?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa367", + "input": { + "question": "What element of Clifford's view on belief formation suggests an ongoing responsibility over time?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa454", + "input": { + "question": "How do Kant and Hegel differ in their treatment of the concept of recognition in their respective philosophies?" + }, + "output": { + "answer": "" + } + }, + { + "id": "pqa250", + "input": { + "question": "What factor is crucial when assessing whether a concept learned in one domain can be applied to another?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Protein-Protein-Interaction-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Protein-Protein-Interaction-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..84cf29650e39c012dfc2a3f0d8bc22c8e504ccee --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Protein-Protein-Interaction-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "protein_protein_interaction_extraction", + "data_source": "ppi_dataset", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0445", + "input": { + "raw_text": "The assay detects the high-affinity binding of actin to actin-binding proteins (ABPs), cofilin or DNase I.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0492", + "input": { + "raw_text": "Recent evidence that profilin inhibits phospholipase C and enhances nucleotide exchange of actin has led some to question whether profilin is ever truly an actin monomer sequestering agent.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0068", + "input": { + "raw_text": "In previous studies (Scott, J. D., Stofko, R. E., McDonald, J. R., Comer, J. D., Vitalis, E. A., and Mangili J. (1990) J. Biol. Chem. 265, 21561-21566) we have shown that dimerization of RII alpha was required for interaction with the cytoskeletal component microtubule-associated protein 2.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0020", + "input": { + "raw_text": "The fibronectin-binding proteins FnBPA and FnBPB are multifunctional adhesins than can also bind to fibrinogen and elastin", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0284", + "input": { + "raw_text": "We have previously shown that the synthetic dodecapeptide corresponding to Trp104-Met115 of cofilin is a potent inhibitor of actin polymerization (Yonezawa, N., Nishida, E., Iida, K., Kumagai, H., Yahara, I., and Sakai, H. (1991) J. Biol. Chem. 266, 10485-10489).", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0109", + "input": { + "raw_text": "Here, a direct interaction between the activation domain of p53 and two subunits of the TFIID complex, TAFII40 and TAFII60, is reported.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0391", + "input": { + "raw_text": "Neuropilin 1 (NP-1) is a receptor for vascular endothelial growth factor (VEGF) 165 (VEGF165) and acts as a coreceptor that enhances VEGF165 function through tyrosine kinase VEGF receptor 2 (VEGFR-2).", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0214", + "input": { + "raw_text": "Comparison of messenger RNA gene expression of extracellular matrix proteins (procollagen I, collagenase, elastin, hyaluronic acid synthase 2, hyaluronidase, fibronectin, cd44, fibromodulin, and decorin) across cell passages (3, 4, 5, 6, 10, and 12 fornormal laminapropria and 3, 4, 5, 6, and 10 for tracheal scar) revealed varied growth patterns.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0008", + "input": { + "raw_text": "The LRP5 high-bone-mass G171V mutation disrupts LRP5 interaction with Mesd.", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + }, + { + "id": "0118", + "input": { + "raw_text": "The hGITRL gene mapped to chromosome 1q23, near the gene for the TNF homolog Fas/CD95 ligand [5].", + "prompt": "<<>>. Extract all protein-protein interactions from this text. The possible interaction types are: enzyme, structural, negative. Format each interaction as protein1 => interaction_type => protein2." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Relation-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Relation-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8f8c7be1226f68a954c6ff8545f485dece44874e --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Relation-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "relation_extraction", + "data_source": "tacred", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0215", + "input": { + "raw_text": "AIG said it had transferred ownership to the Federal Reserve Bank of parts of two subsidiaries , ALICO which is active in life assurance in the United States and AIA which provides life assurance abroad .", + "prompt": "<<>>. What is the relation between 'ALICO' (ORGANIZATION) and 'United States' (COUNTRY)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0420", + "input": { + "raw_text": "BEIJING , Sept 20 -LRB- Xinhua -RRB- With 10 million kilowatts of capacity at six nuclear power plants , China plans to raise its nuclear power capacity to 60 million kilowatts by 2020 , Zhang Guobao , director of the National Energy Administration -LRB- NEA -RRB- , said in an interview last month .", + "prompt": "<<>>. What is the relation between 'National Energy Administration' (ORGANIZATION) and 'Zhang Guobao' (PERSON)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0137", + "input": { + "raw_text": "`` The mission of Fazlullah in Swat is the same as that of the Taliban in Afghanistan and other mujaheddin in Waziristan , '' said Shah Abdul Aziz , a former member of Parliament .", + "prompt": "<<>>. What is the relation between 'Shah Abdul Aziz' (PERSON) and 'member of Parliament' (TITLE)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0225", + "input": { + "raw_text": "The anti-French leader of the Ivory Coast 's Young Patriot movement , Charles Ble Goude , said Saturday he has been named `` ambassador for reconciliation and peace '' by the government .", + "prompt": "<<>>. What is the relation between 'he' (PERSON) and 'ambassador' (TITLE)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0248", + "input": { + "raw_text": "There is unfortunately no silver bullet for eradicating bed bugs , said Phillip Cooper , president of BedBug Central , a for-profit educational organization which hosted the conference .", + "prompt": "<<>>. What is the relation between 'BedBug Central' (ORGANIZATION) and 'Phillip Cooper' (PERSON)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0001", + "input": { + "raw_text": "`` The outrage is spreading right through society , '' Ahmed Rashid , a Pakistani author and expert on Islamic militancy , said by telephone Wednesday night from Lahore .", + "prompt": "<<>>. What is the relation between 'Ahmed Rashid' (PERSON) and 'author' (TITLE)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0125", + "input": { + "raw_text": "West African diplomatic moves to save the fragile country from civil war took on new urgency when Gbagbo 's `` Street General '' , Charles Ble Goude , told youths to storm Ouattara 's heavily-protected Abidjan hotel headquarters .", + "prompt": "<<>>. What is the relation between 'Charles Ble Goude' (PERSON) and 'African' (NATIONALITY)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0140", + "input": { + "raw_text": "`` Chinese subsidies to new energy companies are much smaller than those of the US government , '' said Zhang Guobao , director of the Cabinet 's National Energy Administration , at a news conference .", + "prompt": "<<>>. What is the relation between 'National Energy Administration' (ORGANIZATION) and 'Zhang Guobao' (PERSON)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0078", + "input": { + "raw_text": "Earlier this month , Wen Qiang , head of the judicial administrative bureau in southwestern Chongqing Municipality , was being investigated over alleged connections with gangsters .", + "prompt": "<<>>. What is the relation between 'Wen Qiang' (PERSON) and 'Chongqing Municipality' (ORGANIZATION)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + }, + { + "id": "0374", + "input": { + "raw_text": "The court convicted Wang , Tao and another 28 members of the criminal gang on charges of organising prostitution , false imprisonment , bribery and rape .", + "prompt": "<<>>. What is the relation between 'Tao' (PERSON) and 'false imprisonment' (CRIMINAL_CHARGE)? The possible relation types are: org:alternate_names, org:city_of_headquarters, org:country_of_headquarters, org:top_members/employees, per:age, per:cities_of_residence, per:countries_of_residence, per:charges, per:employee_of, per:origin, per:stateorprovinces_of_residence, per:title.Please provide only the relation type." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Sarcasm-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Sarcasm-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..73aa979b0b610e893033cbf5bc177d517d91479f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Sarcasm-Detection/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "sarcasm_detection", + "data_source": "sarcasm_headlines_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0488", + "input": { + "raw_text": "republican congressmen torched at angry town hall meetings in california", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0371", + "input": { + "raw_text": "most of trump's voters don't think he's changed since taking office", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0076", + "input": { + "raw_text": "new device converts grass to meat", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0019", + "input": { + "raw_text": "area pedestrian obsessed with crossing the street", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0257", + "input": { + "raw_text": "roy moore tries, fails to heckle jimmy kimmel", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0042", + "input": { + "raw_text": "how i got involved in campus safety as a student activist", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0178", + "input": { + "raw_text": "nude aides huddled around trump assure him no one wearing wire", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0175", + "input": { + "raw_text": "theater goes nuts as hillary clinton appears in the audience", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0410", + "input": { + "raw_text": "9 shows that make the case for watching television in august", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0092", + "input": { + "raw_text": "oxford student wins prize for photo of atom taken with dslr camera", + "prompt": "<<>>. Determine if this headline is sarcastic. Respond with either 'Sarcastic' or 'Not Sarcastic'. Provide only the category name as output." + }, + "output": { + "topic": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Science-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Science-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3e6e62e6fbcd38ff296b34c1848b1ec26e230be3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Science-Question-Answering/annotation.json @@ -0,0 +1,466 @@ +{ + "task": "Science Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "sqa350", + "input": { + "question": "What role do plants play in the carbon cycle?", + "options": [ + "Absorb carbon dioxide and release oxygen.", + "Absorb oxygen and release nitrogen.", + "Use sugar and release carbon dioxide.", + "Use water and release carbon dioxide." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa037", + "input": { + "question": "What is the mass of a carbon atom that has 6 protons, 7 neutrons, and 6 electrons?", + "options": [ + "6", + "7", + "19", + "13" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa321", + "input": { + "question": "A research team discovers a new species of animal. How should they share their findings to advance scientific knowledge?", + "options": [ + "Publish the information in a scientific journal.", + "Discuss their findings on a news program.", + "Write a letter to a local newspaper editor.", + "Present the findings to students at a university." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa034", + "input": { + "question": "Which of the following is the primary difference between hydraulic and pneumatic systems?", + "options": [ + "Hydraulic systems involve liquids and pneumatic systems involve gases.", + "Hydraulic systems are under pressure and pneumatic systems are not.", + "Hydraulic systems are open systems and pneumatic systems are closed systems.", + "Hydraulic systems involve fluids in motion and pneumatic systems involve fluids at rest." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa181", + "input": { + "question": "What directly causes an infection from a cut in the skin?", + "options": [ + "genetic mutation.", + "an allergic response.", + "tissue regeneration.", + "invasion by foreign cells." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa319", + "input": { + "question": "Which scenario is an example of an action-at-a-distance force?", + "options": [ + "Pulling a magnet off a refrigerator.", + "An apple falling to the ground.", + "Pushing a box across a room.", + "Lifting a chair from the floor." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa062", + "input": { + "question": "Why does a plastic rod acquire a negative charge when rubbed with fur?", + "options": [ + "The rod gives up electrons to the air.", + "The rod gains electrons from the fur.", + "The fur gives up protons to the rod.", + "The fur gains protons from the rod." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa008", + "input": { + "question": "What is the best description of the Sun's influence on the oceans?", + "options": [ + "The Sun affects wave formation.", + "The Sun generates water particles.", + "The Sun's rays bring organisms to the surface.", + "The Sun supplies minerals." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa284", + "input": { + "question": "Which planet in the solar system has the longest year?", + "options": [ + "The planet closest to the Sun.", + "The planet with the longest rotation.", + "The planet with the most rings.", + "The planet farthest from the Sun." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa182", + "input": { + "question": "A plant in a marshy area is surrounded by nonvascular and seedless vascular plants. What feature classifies it as a seedless vascular plant?", + "options": [ + "Its height of 18 cm.", + "Its ability to produce spores.", + "Its growth in nutrient-poor soil.", + "Its flat gametophyte structure." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa439", + "input": { + "question": "What scientific approach would disprove the idea that objects can transform into worms?", + "options": [ + "Developing a new hypothesis", + "Creating a detailed model", + "Collecting and analyzing data", + "Using a control in an experiment" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa042", + "input": { + "question": "Which tool would be best to use to determine how long it takes a cup of water to boil?", + "options": [ + "stopwatch", + "thermometer", + "balance", + "hot plate" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa295", + "input": { + "question": "A student observes two trees with similar growth rates, temperature tolerances, and sizes, but different leaves and flowers. What is the most likely classification of these trees?", + "options": [ + "They belong to the same species.", + "They belong to the same genus.", + "They belong to a different family.", + "They belong to a different order." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa339", + "input": { + "question": "Why is diversity within a species important?", + "options": [ + "It prevents overpopulation.", + "It ensures better survival in changing environments.", + "It allows for a wide range of reproductive methods.", + "It reduces competition for resources." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa163", + "input": { + "question": "Sarah left a beaker of saltwater in the sun. Over a day, the water level dropped from 200 mL to 198 mL. If the density of the water is 1.0 g/mL, what mass of water evaporated?", + "options": [ + "1.0 g", + "2.0 g", + "198.0 g", + "200.0 g" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa462", + "input": { + "question": "What food will help Patrick heal after a broken wrist?", + "options": [ + "Green vegetables", + "Dairy products", + "Lean meats", + "Whole grains" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa210", + "input": { + "question": "Scientists noticed a global pattern of older fossils being found in deeper rock layers and younger fossils closer to the surface. This discovery demonstrates how scientific knowledge evolves when", + "options": [ + "fossil preservation methods change.", + "existing fossil theories are re-evaluated.", + "fossils are found in new locations.", + "new fossil evidence is analyzed." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa286", + "input": { + "question": "Which component of air pollution do humans have the least control over?", + "options": [ + "water vapor", + "carbon dioxide", + "sulfur dioxide", + "particulate matter" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa345", + "input": { + "question": "What ability do adult cardinals have that baby cardinals lack?", + "options": [ + "Flying", + "Chirping", + "Breathing air", + "Sleeping" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa484", + "input": { + "question": "Why is there life on Earth but not on the Moon?", + "options": [ + "The Moon is much smaller than Earth.", + "The Moon does not go around the Sun.", + "The Moon has little water and oxygen.", + "The Moon has no gravity." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa268", + "input": { + "question": "What question would best help determine the properties of an unknown substance?", + "options": [ + "Does the substance conduct electricity?", + "Has the substance been frozen before?", + "Is the substance a liquid or solid?", + "Is the substance reactive to light?" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa317", + "input": { + "question": "A student blows bubbles into a basic solution, introducing carbon dioxide. How does the pH change initially?", + "options": [ + "The pH increases and moves toward 7.", + "The pH increases and moves away from 7.", + "The pH decreases and moves toward 7.", + "The pH decreases and moves away from 7." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa024", + "input": { + "question": "Which statement best explains why a tree branch floats on water?", + "options": [ + "Wood is buoyant.", + "Wood is light.", + "Wood is porous.", + "Wood is magnetic." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa175", + "input": { + "question": "Jake and Molly tested several objects to see which ones float. How can they best compare their results?", + "options": [ + "By submerging each object in different liquids.", + "By noting in a table how each object behaves.", + "By determining the size and weight of the objects.", + "By grouping objects by size and testing them." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa165", + "input": { + "question": "What factor would most likely limit the number of mice in an area?", + "options": [ + "abundant food resources", + "a stable and mild climate", + "an increase in predators", + "reduced competition for food" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa273", + "input": { + "question": "What are the main products of photosynthesis?", + "options": [ + "oxygen and glucose", + "water and glucose", + "carbon dioxide and oxygen", + "nitrogen and chlorophyll" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa229", + "input": { + "question": "What property of an apple describes how it feels to touch?", + "options": [ + "It is soft.", + "It is round.", + "It is green.", + "It is smooth." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa088", + "input": { + "question": "Which part of an atom has the least mass?", + "options": [ + "Electron", + "Neutron", + "Proton", + "Nucleus" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa290", + "input": { + "question": "What is the first safety precaution to take when building an electrical circuit?", + "options": [ + "Check the voltage of the battery.", + "Use insulated gloves.", + "Ensure wires are properly cleaned.", + "Carefully read the instructions." + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sqa385", + "input": { + "question": "What might happen if nonnative plants adapt to a new freshwater environment?", + "options": [ + "Native plants will thrive.", + "Native plant populations may decline.", + "Water temperatures will rise significantly.", + "The water will become more saline." + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Scientific-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Scientific-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..62e8e427af7bbea48d713a5921bb01488b4d8b70 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Scientific-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "scientific_ner", + "data_source": "scientific_papers_dataset", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0162", + "input": { + "raw_text": "For this purpose , we resorted to four feature extractors widely used for classifying the Im - ageNet dataset [ 2 1 ] : ResNet [ 2 2 ] , Inception [ 2 3 ] , ResNext ( 4x 3 2 d block ) and ResNext ( 4x 6 4 d block ) [ 2 4 ] .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0062", + "input": { + "raw_text": "For example , GLYNN with default hyperparameters without the autoencoder got an average test score of 7 0 . 9 8 (\u00b1 1 . 4 7 ) on Weibo NAM .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0302", + "input": { + "raw_text": "These methods are denoted as AS MIN -GR that replaces the word with the lowest score , and AS MAX -GR with the highest score .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0248", + "input": { + "raw_text": "The crux of SDP+CRC lies in selecting a high - resolution CNN layer ( e.g. conv 3 3 in VGG 1 6 [ 2 1 ] ) or a heavily downsampled CNN layer ( e.g. conv 5 3 ) , depending on the resolution of each region proposal .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0232", + "input": { + "raw_text": "The selection of the CNN 's are primarily motivated by problems in computer vision .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0087", + "input": { + "raw_text": "A sample image and its segmentation map in COCO , and its comparison with previous datasets .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0334", + "input": { + "raw_text": "Nevertheless , when combining TF - IDF to the concatenated document distributed representations , the results are better than the TF - IDF alone by a small , but statistically significant margin .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0137", + "input": { + "raw_text": "We briefly review how the region proposal network ( RPN ) in Faster R - CNN generate proposals [ 1 9 ] that will be useful later .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0224", + "input": { + "raw_text": "In training stage , the stochastic gradient descent ( SGD ) algorithm [ 6 6 ] is used to learn the network parameters .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0483", + "input": { + "raw_text": "We approach the problem of incorporating Chinese glyphs as an image classification problem and present two CNNs which we call \" strided \" and \" GLYNN \" inspired from computer vision .", + "prompt": "<<>>. Extract all named entities and their types from this scientific text. The possible entity types are: Dataset, Method, Task. Format each entity as 'entity => type' and separate multiple entities with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Scientific-Relation-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Scientific-Relation-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f67a3d4e5dba9f19e55435faa3c0de6f016ba9e3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Scientific-Relation-Extraction/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "scientific_relation_extraction", + "data_source": "scientific_papers", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0417", + "input": { + "raw_text": "Clearly , there has been much improvement in the accuracy of the models since the introduction of the FCN , the first DL - based image segmentation model . 1 Table 2 focuses on the Cityscape test dataset .", + "prompt": "<<>>. Given the entities 'FCN' (Method) and 'DL - based image segmentation model' (Method), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0114", + "input": { + "raw_text": "The concept generator G , parameterized by \u03b8 G , is a deep neural network that could be any popular convolutional neural network such as AlexNet ( Krizhevsky et al. , 2 0 1 2 ) , Inception ( Szegedy et al. , 2 0 1 5 ) , VGG ( Simonyan & Zisserman , 2 0 1 4 ) , or ResNet ( He et al. , 2 0 1 6 ) .", + "prompt": "<<>>. Given the entities 'convolutional neural network' (Method) and 'deep neural network' (Method), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0315", + "input": { + "raw_text": "In the authors ' point of view , part - of - speech tagging ( POS ) , chunking , named entity recognition ( NER ) , and semantic role labeling ( SRL ) problems can be roughly seen as assigning labels to words , so they build an architecture capable of capturing feature vectors from words and higher level features through CNN to do that from raw text .", + "prompt": "<<>>. Given the entities 'CNN' (Method) and 'named entity recognition' (Task), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0297", + "input": { + "raw_text": "In Figure 4 we analyze the accuracy - vs - latency tradeoff on the N - Cars dataset , as proposed in [ 4 0 ] , using the ResNet 1 8 - Ev 2 Vid configuration .", + "prompt": "<<>>. Given the entities 'ResNet 1 8 - Ev 2 Vid' (Method) and 'N - Cars' (Dataset), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0316", + "input": { + "raw_text": "At the same time , both SVM and XGBoost achieved fair results when using supervised fastText word embeddings generated from a relatively small amount of data .", + "prompt": "<<>>. Given the entities 'SVM' (Method) and 'XGBoost' (Method), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0023", + "input": { + "raw_text": "The following are some of the most popular : PASCAL Visual Object Classes ( VOC ) [ 1 4 1 ] is one of most popular datasets in computer vision , with annotated images available for 5 tasks - classification , segmentation , detection , action recognition , and person layout .", + "prompt": "<<>>. Given the entities 'PASCAL Visual Object Classes' (Dataset) and 'detection' (Task), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0011", + "input": { + "raw_text": "For ChaLearn IGR on the other hand , in spite of being outperformed in optical flow estimation by our networks , TSN/FlowNetS achieves better recognition accuracy than our base .", + "prompt": "<<>>. Given the entities 'optical flow estimation' (Method) and 'recognition' (Task), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0436", + "input": { + "raw_text": "Some of the most popular schemes in this approach are the latent semantic indexing ( LSI ) and latent Dirichlet allocation ( LDA ) .", + "prompt": "<<>>. Given the entities 'LDA' (Method) and 'latent Dirichlet allocation' (Method), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0194", + "input": { + "raw_text": "Rocchio 1 0 , Na\u00efve Bayes 1 1 , and SVM 1 2 are examples of linear classifiers .", + "prompt": "<<>>. Given the entities 'SVM' (Method) and 'linear classifiers' (Method), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + }, + { + "id": "0477", + "input": { + "raw_text": "However , there has been an increasing interest in pointcloud segmentation , which has a wide range of applications , in 3D modeling , self - driving cars , robotics , building modeling , etc .", + "prompt": "<<>>. Given the entities 'pointcloud segmentation' (Task) and 'robotics' (Task), what is their relationship? The possible relation types are: Benchmark-For, Compare-With, Evaluated-With, Part-Of, SubClass-Of, SubTask-Of, Synonym-Of, Trained-With, Used-For. Please provide only the relation type" + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Semantic-Role-Labeling/annotation.json b/Scope-A/S-A-Quick/nlp/Semantic-Role-Labeling/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0f35827bfe0bb86ac4626abbd43a136eeafc003e --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Semantic-Role-Labeling/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "semantic_role_labeling_mcq", + "data_source": "propbank", + "type": "multiple choice", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0429", + "input": { + "raw_text": "The capabilities %pw available to him are zero uh , as is already known , because this conference issue was previously proposed *-2 , but it failed .", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. known -> The capabilities %pw (ARGM-TMP)\nB. known -> because this conference issue was previously proposed *-2 (ARGM-TMP)\nC. known -> because this conference issue was previously proposed *-2 (ARGM-CAU)\nD. known -> but it failed (ARG3)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0468", + "input": { + "raw_text": "Uh , the latest information that we received so far is that these battles between the two sides , uh , started after the Friday prayers %pw and these , and they started exactly in a place known , a small village called %pw Safar Nooley , said to be 80 kilometers away from Dinsor in the direction of Baidoa .", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. started -> far is (ARG0)\nB. started -> these , and (ARGM-PRP)\nC. started -> after the Friday prayers (ARG2)\nD. started -> after the Friday prayers (ARGM-TMP)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0026", + "input": { + "raw_text": "I think 0 he 's waiting to see if there 's a moment if there 's a moment /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. think -> think 0 he (ARG2)\nB. think -> there (ARGM-TMP)\nC. think -> I (ARGM-LOC)\nD. think -> I (ARG0)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0016", + "input": { + "raw_text": "Um and when you 're wearing like I was *?* twenty - five pounds of body armor um and sweating through your clothes and trying to stay hydrated um in the middle of a sandstorm um where we were trapped *-2 on a couple of different occasions *T*-3 *T*-4 it was pretty grueling tough work and an assignment that *T*-5 made me have a tremendous appreciation of what our troops are going through *T*-6 on a day to day basis in Iraq /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. sweating -> you (ARGM-TMP)\nB. sweating -> you (ARGM-PRP)\nC. sweating -> you (ARGM-MNR)\nD. sweating -> you (ARG0)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0096", + "input": { + "raw_text": "But when you get to the fifth and sixth seats you get to to to winning in Ohio and you wi- -- and an- an- talking about the Tennessee open seat /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. get -> you (ARG3)\nB. get -> to to to (ARG4)\nC. get -> you (ARG1)\nD. get -> you (ARG0)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0104", + "input": { + "raw_text": "You ca n't just say in a Sunday morning in July that somehow because we have n't come to the end of negotiations these negotiations are bound to fail /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. say -> just (ARG1)\nB. say -> just (ARGM-ADV)\nC. say -> fail (ARG1)\nD. say -> just (ARG4)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0119", + "input": { + "raw_text": "So your listeners understand -- your listeners understand 0 there 's not a single thing that John Bolton said during that entire process that *T*-2 was not vetted *-3 , that *T*-4 was not cleared *-5 and that *T*-6 was not approved *-7 /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. cleared -> 's (ARGM-PRP)\nB. cleared -> process (ARGM-MNR)\nC. cleared -> that (ARG4)\nD. cleared -> not (ARGM-NEG)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0418", + "input": { + "raw_text": "give her a minute /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. give -> her (ARGM-LOC)\nB. give -> her (ARG2)\nC. give -> her (ARGM-PRP)\nD. give -> her (ARGM-MNR)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0339", + "input": { + "raw_text": "In fact , %pw the major problem , whether for the Americans or for those leaders of the American political process in Iraq who are cooperating with them , is that they 're going in circles in a vacuum .", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. going -> in a vacuum (ARG3)\nB. going -> cooperating with them (ARGM-MNR)\nC. going -> they 're going (ARG3)\nD. going -> in a vacuum (ARGM-LOC)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + }, + { + "id": "0486", + "input": { + "raw_text": "But I think -- I think 0 if we want to lock down a security situation it 's going *-2 to take more troops /.", + "prompt": "<<>>\n\nWhich of the following semantic role labeling relations is correct for this sentence? \nIn the format \"predicate -> argument (role_type)\"\n\nA. think -> 0 if we want *PRO*-1 to lock down a security situation it 's going *-2 to take more (ARG1)\nB. think -> 0 if we want *PRO*-1 to lock down a security situation it 's going *-2 to take more (ARGM-MNR)\nC. think -> going *-2 to (ARGM-PRP)\nD. think -> 0 if we want *PRO*-1 to lock down a security situation it 's going *-2 to take more (ARGM-MNR)\n\nChoose A, B, C, or D." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Sentence-Similarity-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Sentence-Similarity-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c16cc712687e02fe603d1a5b56e60d563dbac360 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Sentence-Similarity-Detection/annotation.json @@ -0,0 +1,217 @@ +{ + "task": "sentence_similarity_detection", + "data_source": "sentence_similarity_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0481", + "input": { + "raw_text": "Text 1: What will be the force on a current carrying conductor if all the parameters are doubled?\nText 2: What will be the force on current carrying conductor if all the parameters are doubled?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0238", + "input": { + "raw_text": "Text 1: Who will win Hillary Clinton Or Donald Trump?\nText 2: Who will win the election, Donald Trump or Hillary Clinton?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0356", + "input": { + "raw_text": "Text 1: How did Luxembourg become a wealthy country?\nText 2: How does a nation become wealthy?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0308", + "input": { + "raw_text": "Text 1: Are all the wrinkles on a brain's cortex the same across people?\nText 2: Does the brain have waves? Many times people think the same thought. Is that because the brain has waves?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0173", + "input": { + "raw_text": "Text 1: Finance: Which is the best way to learn about stocks?\nText 2: How can I learn more about stocks?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0200", + "input": { + "raw_text": "Text 1: How do I become a star health insurance agent?\nText 2: How do I become a general insurance agent in India?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0408", + "input": { + "raw_text": "Text 1: Why do whites deny racism?\nText 2: Why does the obvious fiction of there being no racism in Brazil still persist?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0093", + "input": { + "raw_text": "Text 1: What are some lesser-known sights to see when visiting Holguin, Cuba?\nText 2: What are some lesser-known sights to see when visiting Camag\u00fcey, Cuba?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0146", + "input": { + "raw_text": "Text 1: Can you lick your nose?\nText 2: How can I hack someone's WhatsApp account if I just have his WhatsApp account number?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0201", + "input": { + "raw_text": "Text 1: Why were all Indiape invaders surrendered to the Chinese PLA during Indiape army attempts to invade Chinese Tibet in 1962?\nText 2: Why do some Chinese people believe that China has never invaded any country when other people say it had invaded Tibet, Vietnam and threatened Indian border?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0396", + "input": { + "raw_text": "Text 1: What is the best headset with chat capabilities for ps4?\nText 2: What are the best aspects of living in Cascavel, PR, Brazil as a young adult?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0090", + "input": { + "raw_text": "Text 1: What is tiered link building in SEO?\nText 2: What is the tier Link building in SEO?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0483", + "input": { + "raw_text": "Text 1: How do I setup a Belkin router without the CD?\nText 2: How do I configure Belkin DSL wifi router?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0306", + "input": { + "raw_text": "Text 1: What are the odds of having a miscarriage at 11 weeks pregnant?\nText 2: What are the chances of a miscarriage at 11 weeks pregnant?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0144", + "input": { + "raw_text": "Text 1: How do I build my body up in five months without supplements?\nText 2: How to make body building in two months?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0168", + "input": { + "raw_text": "Text 1: How Gullu's kitchen survived in colleges as there are only 3-4 semesters and reading vacations as well as other local competitiors?\nText 2: I will be finishing school in 3 months. What are the best things to do during a 3-4 months long vacation for a 16 year old?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0178", + "input": { + "raw_text": "Text 1: How do I look at someone's Instagram when it's private?\nText 2: How can you look at someone's private Instagram account without following them?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0061", + "input": { + "raw_text": "Text 1: Why is it said that America has no culture?\nText 2: Is Britain culturally closer to America or France/Germany?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0022", + "input": { + "raw_text": "Text 1: What does Richard Muller think of Chemistry?\nText 2: What does Richard Muller think of entrepreneurs?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0479", + "input": { + "raw_text": "Text 1: What is the validity of IELTS certificates?\nText 2: When does the IELTS score validity start, from the test date or the result date?", + "prompt": "<<>>. Are these two texts duplicate? Provide only the category name as output: duplicate or not_duplicate. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Sentiment-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Sentiment-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1e1a7f1a51e5c08e5d38909b9454f877e39c7ba3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Sentiment-Classification/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "sentiment_classification", + "data_source": "sentiment_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0463", + "input": { + "raw_text": "i 've always dreamed of attending cannes , but after seeing this film , it 's not that big a deal . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0327", + "input": { + "raw_text": "at the very least , if you do n't know anything about derrida when you walk into the theater , you wo n't know much more when you leave . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0293", + "input": { + "raw_text": "richard gere and diane lane put in fine performances as does french actor oliver martinez . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0179", + "input": { + "raw_text": "warm water under a red bridge is a quirky and poignant japanese film that explores the fascinating connections between women , water , nature , and sexuality . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0402", + "input": { + "raw_text": "it moves quickly , adroitly , and without fuss ; it does n't give you time to reflect on the inanity -- and the cold war datedness -- of its premise . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0224", + "input": { + "raw_text": "indifferently implausible popcorn programmer of a movie . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0196", + "input": { + "raw_text": "( t ) here 's only so much anyone can do with a florid , overplotted , anne rice rock 'n' roll vampire novel before the built-in silliness of the whole affair defeats them . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0392", + "input": { + "raw_text": "or doing last year 's taxes with your ex-wife . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0364", + "input": { + "raw_text": "teen movies have really hit the skids . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + }, + { + "id": "0085", + "input": { + "raw_text": "at once half-baked and overheated . ", + "prompt": "<<>>. Classify the sentiment of this text as either positive or negative. Provide only the sentiment label as output." + }, + "output": { + "sentiment": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Soccer-Sentiment-Classification/annotation.json b/Scope-A/S-A-Quick/nlp/Soccer-Sentiment-Classification/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..246a34b126f8374d0e55480b65762635968d819b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Soccer-Sentiment-Classification/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "sports_sentiment_analysis", + "data_source": "fifa_world_cup_2022_tweets", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0375", + "input": { + "raw_text": "1st GOAL of #worldcup2022 \n\n16\u2019 \ud83c\uddf6\ud83c\udde6 Qatar 0-1 Ecuador \ud83c\uddea\ud83c\udde8 \n\n\u26bd\ufe0f Enner Valencia", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0163", + "input": { + "raw_text": "#WorldCup \n#WorldCup2022 \n#WorldcupQatar2022 \n#worldcup2022qatar \n#Elonmusk \n#world\nBe our(Iranians) voice. https://t.co/qW5KP2IMX8", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0164", + "input": { + "raw_text": "At start of #WorldCup2022, Eric Cantona reminds us to keep thinking about #JulianAssange.\n\n #Assange #WorldCup https://t.co/aAUdhuYIft", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0106", + "input": { + "raw_text": "Thought it was quite apt to tweet this at the present time... Good football analogy anyway \ud83e\udd37\u200d\u2640\ufe0f #WorldCup2022 \n#ConservativeParty https://t.co/LyEo7mFmYN", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0016", + "input": { + "raw_text": "Is this the new nickname for Mickey D\u2019s? \u2018Maccy D\u2019s\u2019? #WorldCup2022 https://t.co/a2ITMhXPSh", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0335", + "input": { + "raw_text": "What can heterosexual couples do in public in #Qatar that gay men and women can\u2019t? #WorldCup2022", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0157", + "input": { + "raw_text": "@CryptoCoinCoach Let's go winner's\n\n#BNB \n0xa49c8f3A97be502F09ad2054e1780027407dD5aB\n\n#Airdrops #Giveaway\n#FIFAWorldCup #WorldCup2022 \n\n@SirKunt \n@Ryan_NFTs", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0441", + "input": { + "raw_text": "JK performance for #WorldCup2022 was dope", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0060", + "input": { + "raw_text": "Ecuador come on let\u2019s goooooooo! #WorldCup2022 https://t.co/HEgvgyEiSP", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + }, + { + "id": "0487", + "input": { + "raw_text": "RIGHT #WorldCup2022 LETS Ride #Algorand to \u00a31 and above! \n\n#BBC1 \n\n#ITV", + "prompt": "<<>>. What is the sentiment of this sports-related text? Answer with one of: positive, negative, neutral. Provide only the category name as output." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Social-Science-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Social-Science-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b124d18bb58403a214819bca6a1088417f03dada --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Social-Science-Question-Answering/annotation.json @@ -0,0 +1,466 @@ +{ + "task": "Social Science Question Answering", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "ssqa387", + "input": { + "question": "What will Sydney want to do next after feeling confident about her chances at law school?", + "text": "Growing up, Sydney always dreamed of becoming a lawyer. By her senior year in college, she felt she had a good shot at getting into law school.", + "options": [ + "Take the LSAT", + "Continue working hard", + "Explore other career options" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa462", + "input": { + "question": "How would Sasha feel after saving her team from losing the game?", + "text": "The baseball game was intense, but in the end, Sasha made a crucial play that saved her team from losing.", + "options": [ + "Fearful", + "Heroic", + "Grateful" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa420", + "input": { + "question": "Why did Kai show Jan how to do her job properly?", + "text": "Kai took the time to show Jan how to perform her tasks correctly to avoid getting into trouble.", + "options": [ + "Was Jan's trainer and wanted her to succeed", + "Was concerned Jan might get in trouble", + "Didn't want to be held responsible for Jan's mistakes" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa400", + "input": { + "question": "What might Addison want to do after Robin helps stop her from shaking uncontrollably?", + "text": "Addison was shaking uncontrollably, and Robin gently placed a hand on her wrist to calm her down.", + "options": [ + "Feel comforted", + "Take their medication", + "Thank Robin" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa364", + "input": { + "question": "How would Emma feel after Alex washed her car knowing it was about to rain?", + "text": "Alex washed Emma's car even though the weather forecast predicted rain later that day.", + "options": [ + "Happy with a clean car", + "Irritated at the wasted effort", + "Indifferent to the situation" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa006", + "input": { + "question": "How would Robin feel after their paper blew away?", + "text": "Robin lit the paper on fire, and it blew away with the wind.", + "options": [ + "Happy the paper was gone", + "Surprised by what happened", + "Upset about the lost paper" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa049", + "input": { + "question": "How would you describe Quinn's attitude towards snow?", + "text": "Quinn was playing and frolicking in the snow, making snow angels and snowballs.", + "options": [ + "A fan of the band", + "Lighthearted and playful", + "A lover of the outdoors" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa218", + "input": { + "question": "What will happen to Max after explaining to the others why Sophie was too embarrassed to speak up?", + "text": "Sophie was too embarrassed to explain the situation, so Max spoke on her behalf to clarify things.", + "options": [ + "Get praise", + "Be confronted by others", + "Stay quiet" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa432", + "input": { + "question": "Why did Remy pay her taxes despite her friend's confusion?", + "text": "Remy paid her taxes on time, and her friend asked her why she did it.", + "options": [ + "Do what she was told", + "Explain to her friend how tax laws work", + "Offer to do her friend's taxes" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa379", + "input": { + "question": "Why did Kai engage in political discussions with their friends?", + "text": "Kai talked about politics with their friends to stay well-informed.", + "options": [ + "To keep up with current events", + "To impress their friends", + "To understand different viewpoints" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa021", + "input": { + "question": "What will Carson expect after kissing Alex?", + "text": "Carson kissed Alex gently on the cheek and asked to go to dinner.", + "options": [ + "A romantic evening", + "A friendly meal", + "A conversation about life" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa222", + "input": { + "question": "What does Mia need to do before her history tutor session when she starts improving slowly?", + "text": "Mia struggled with history and started seeing a tutor to help, gradually showing signs of improvement.", + "options": [ + "Seek help from the tutor", + "Study harder on her own", + "Prepare for the next session" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa367", + "input": { + "question": "Why did Carson decide to stay calm when he saw his mother come home in a bad mood?", + "text": "Carson was home alone listening to music when his mom returned from work in a bad mood.", + "options": [ + "He didn't want to make things worse", + "He decided to confront her about her mood", + "He ignored her mood entirely" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa051", + "input": { + "question": "How would you describe Cameron's reaction after grading Bailey's paper?", + "text": "Cameron was grading Bailey's research paper. Cameron felt satisfied with Bailey's work.", + "options": [ + "Honest", + "A successful teacher", + "Vengeful" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa195", + "input": { + "question": "What did Lucy need to do before giving her friend the scarf?", + "text": "Lucy gave her friend Ella a scarf, and Ella put it on, which looked really good.", + "options": [ + "Congratulate her", + "Dress her up more", + "Get out the scarf" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa330", + "input": { + "question": "Why did Jessica search her house in the middle of the night?", + "text": "Jessica was anxious about a possible break-in and decided to check every room in the house to ensure she was safe.", + "options": [ + "To feel secure", + "Afraid of burglars", + "Wanted to be sure" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa370", + "input": { + "question": "What will Riley do next after Aubrey ignores her call about the party?", + "text": "Aubrey didn\u2019t answer Riley\u2019s call regarding the upcoming party.", + "options": [ + "Call Aubrey again", + "Move on to other plans", + "Tell her friends about the party" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa090", + "input": { + "question": "What will Quinn want to do after crying over her breakup and eating a whole carton of ice cream?", + "text": "Quinn cried their eyes out and ate a whole carton of ice cream over her breakup.", + "options": [ + "Keep crying", + "Get back together with her boyfriend", + "Purchase more ice cream" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa404", + "input": { + "question": "What will Riley likely feel after Alex answers their homework question?", + "text": "Alex helped Riley with a math problem that was assigned as homework, providing a clear explanation.", + "options": [ + "Relieved", + "Proud", + "Lazy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa171", + "input": { + "question": "How would you describe Emma after baking a cake for her mother\u2019s birthday?", + "text": "Emma made her mother\u2019s favorite cake for her birthday to show how much she cared.", + "options": [ + "Very considerate", + "Proud", + "Happy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa216", + "input": { + "question": "How would you describe Alexis after reading a story about animal cruelty?", + "text": "Alexis felt deeply moved and pained after reading a distressing story about animal abuse.", + "options": [ + "Sympathetic", + "Apathetic", + "Indifferent" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa278", + "input": { + "question": "How would Ben feel after taking the math test based on logic?", + "text": "Ben approached his math test with confidence, trusting his logical skills to help him solve the problems.", + "options": [ + "Felt confident in his answers", + "Felt unprepared", + "Felt lazy due to overconfidence" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa025", + "input": { + "question": "What will the others want to do next after trick-or-treating with Sydney?", + "text": "Sydney went trick-or-treating and the others happily joined in.", + "options": [ + "Head home", + "Go to another house", + "Enjoy the candy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa238", + "input": { + "question": "How would Ben feel after losing his expensive shirt?", + "text": "Ben had an expensive shirt that he really liked, but he somehow lost it while out with friends.", + "options": [ + "Frustrated", + "Indifferent", + "Relieved" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa078", + "input": { + "question": "How would the other players feel after being beaten by Remy in a game?", + "text": "Remy challenged them to a game and then beat them so much.", + "options": [ + "Weak", + "Proud", + "Happy" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa425", + "input": { + "question": "How would you describe Remy after giving birth to her baby girl?", + "text": "Earlier today, Remy gave birth to a healthy baby girl at the hospital.", + "options": [ + "Joyful and a proud new parent", + "Overwhelmed with the experience", + "Excited to start this new chapter of life" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa407", + "input": { + "question": "What did Riley need to do before going out for the night?", + "text": "Riley had planned a fun night out with friends and decided to get dressed up before heading out to dance.", + "options": [ + "Have fun with friends", + "Put on makeup", + "Make plans with friends" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa207", + "input": { + "question": "What might Ethan want to do next after spending the day at the park with his friends?", + "text": "Ethan spent the whole afternoon at the park with his friends, enjoying their time together.", + "options": [ + "Leave the park", + "Go home", + "Try to catch the frisbee" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa075", + "input": { + "question": "What will Kendall want to do next after taking their dog to the new dog park?", + "text": "Kendall took their dog to the new dog park in the neighborhood.", + "options": [ + "Walk their dog", + "Give it a bath", + "Meet other dog owners" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "ssqa253", + "input": { + "question": "What does Jared need to do before starting to measure the ingredients in the kitchen?", + "text": "Jared was preparing to make cookies and needed to use the scale to measure the ingredients accurately.", + "options": [ + "Calibrate the scale", + "Put the ingredients on the scale", + "Start mixing the ingredients" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Spam-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Spam-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6198ee3e75080f083454a2919809ca2092a33fe3 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Spam-Detection/annotation.json @@ -0,0 +1,317 @@ +{ + "task": "spam_detection", + "data_source": "spam_detection_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0389", + "input": { + "raw_text": "Subject: reduce cellulite . proven alternative to cosmetic surgery ! gpndq take advantage of our no cost trial ! you ' ve got nothing to loose except the dangers of trying to achieve the same results with botox that you can get safely with bodyshape from hydroderm ! ( ) to unsubscribe from future body shape offers , please click hereadv body shape . 11240 playa court . culver city . ca . 90230 lvswinjqgxlx", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0294", + "input": { + "raw_text": "Subject: re : research sign off i totally agree . what you list is all we are after . steven leppard 29 / 01 / 2001 15 : 45 to : james new / lon / ect @ ect cc : tani nath / lon / ect @ ect , ted murphy / lon / ect @ ect , vince j kaminski / hou / ect @ ect subject : re : research sign off james i agree with what you say - my view is that research can : - assess a model ; - state what the model does ; - give a view of how closely the model achieves its objectives ; - assess what the risks of using the model are . it is for rac to determine whether enron is prepared to accept this risk . i discussed this issue with ted , and he seems to agree with this broad splitting of responsibilities . steve james new 29 / 01 / 2001 13 : 59 to : steven leppard / lon / ect @ ect cc : sharad agnihotri / lon / ect @ ect , tani nath / lon / ect @ ect , ted murphy / lon / ect @ ect , vince j kaminski / hou / ect @ ect subject : re : research sign off steve , i understand your comments but the ' sign off ' is a cross functional thing and research are effectively only being asked to sign off their part which is broadly as you describe below . if you have doubts as to the interpretation of a research sign off then it should be qualified to state what you are prepared to sign off on . other functions should be asked to do like wise for their area which will mean that when all areas have signed off their part the picture is complete . somebody needs to coordinate this and usually in london it is the risk management guy . does this make sense ? steven leppard 24 / 01 / 2001 09 : 42 to : sharad agnihotri / lon / ect @ ect cc : tani nath / lon / ect @ ect , ted murphy / lon / ect @ ect , james new / lon / ect @ ect , vince j kaminski / hou / ect @ ect subject : research sign off hi sharad i note from our discussion earlier this morning that you ' ve been asked to sign off a calculation from another group , which is something we ' re asked to do from time to time . i take the view that we in research can assess a computation in terms of what it achieves with respect to its requirements , what its shortfalls are , and therefore what the risks associated with using this method are . we cannot provide an opinion on whether these risks are acceptable to enron , which i feel falls firmly within rac territory . this then raises the question of can research sign off anything for other groups after all ? to \" sign off \" means to accept something , which our opinion in itself cannot do . it is most appropriate for us to provide a technical note outlining the methodology , risks and shortcomings of a method , leaving the formal \" sign off \" to those best placed to assess these risks for our company . the alternative is for multiple groups each to have their own view on what is acceptable risk for the company . steve", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0107", + "input": { + "raw_text": "Subject: re : the newvatrfacs program and testing data jin & winston , i will look at the results of 2 runs , but i will not look at the code unless it is in our version control system sccs . please , put all your version under this system , as we used to do , and as we discussed with you . thank you , tanya from : jin yu 10 / 24 / 2000 12 : 31 am to : tanya tamarchenko / hou / ect @ ect cc : wenyao jia / hou / ect @ ect subject : the newvatrfacs program and testing data hi , tanya : two versions of the newvatrfacs program : with ( v 2 ) and without ( vl ) weight are listed in the location : / rms / prod / bin / tmp / vl and / rms / prod / bin / tmp / v 2 along with testing result for the effdate = ' 20 - oct - 2000 ' . the testing results of the factors for a given ng - cluster ( a constant list : clust . dat ) are listed in / rms / prod / bin / tmp . ( the files with name like s * are the results of a test run without \" weight \" , while the files with name like t * are the results of a test run with \" weight \" ) . all source codes are listed there , including the makefile and the excuteables . should you find any problem with the program , please let me know . jin", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0331", + "input": { + "raw_text": "Subject: premium online medication here kodachrome buddhism emilio get all your prescriptions in one location ! a whole range of tablets ! take a look ! and the costs are very low ! stop receiving promotional material now arrogate disposal caucasian consult ", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0345", + "input": { + "raw_text": "Subject: energy derivative courses dear vince / grant , it was good to meet and talk with you both this morning - very interesting . here are the details of the course ( actually there are two seperate courses , one on var ) that i promised you . i hope to see you both again later in the month . best regards . chris . course 1 : energy derivatives : pricing and risk management - course leaders : dr les clewlow and dr chris strickland houston : 29 - 30 march 2000 london : 3 - 4 april 2000 fee : stg 1950 / usd 2950 this is an intermediate course aimed at the energy professional who is familiar with energy derivative products but who requires the mathematical foundations of derivative pricing and an understanding of the pricing and risk management of energy derivatives . this course assumes that participants are familiar with standard basic option pricing theory ( the black - scholes formula , monte carlo simulation , and the use of binomial trees for option pricing ) . the format for the course will follow our usual highly practical and successful style of alternate sessions of lectures and excel based computer workshops . to facilitate intensive interaction , the course will be limited to a maximum of 15 participants so early booking is advisable . the excel based computer workshops deal with oil and gas as well as electricity derivatives and contain detailed calculations for pricing and risk management . at the end of the 2 days , participants leave with a diskette containing answers to all the workshops as well as valuable code for pricing and simulation . registration fee includes : pre - course reading , course materials , copies of relevant research materials , diskette with fully worked solutions to computer workshops , lunch and refreshments . additionally , each attendee will receive a free copy of clewlow and strickland ' s forthcoming book \" energy derivatives : pricing and risk management \" which includes valuable contributions from enron ' s vince kaminski and grant masson . upon registration , participants will be sent a pack containing relevant pre - course reading . course outline day 1 , am : introduction to energy derivatives modelling energy derivatives - structures and applications fundamentals of modeling and pricing analysing energy data spot price behaviour building forward curves - assessing available models the relationship between the spot price and forward curve dynamics workshop : analysing the properties of energy data - mean reversion , volatility structures , jumps day 1 , pm : spot price models and pricing by simulation and trees review of spot price models the pros and cons of spot price models pricing standard options , swaptions , caps , floors , and collars simulation for spot price models pricing exotic options ( barriers , lookbacks , asians , etc . ) building and using trees for energy derivatives building trees consistent with the forward curve pricing options in trees workshop : using simulation and trinomial trees to price energy derivatives day 2 , am : forward curve based models forward curve dynamics and forward curve models the relationship to spot price dynamics multi - factor forward curve models volatility function interpretation and estimation pricing standard energy options pricing energy swaptions pricing energy exotics using simulation workshop : using simulation to implement multi - factor models and price energy options day 2 , pm : risk management of energy derivatives energy market risk and hedging computing hedge sensitivities determining the hedge instruments hedging a energy derivatives book value - at - risk in energy markets - the pros and cons of the approaches credit risk in energy markets - issues and models workshop : hedging an energy portfolio please feel free to e - mail us to register for this course and we will contact you regarding payment . course 2 : var for energy markets course leaders : dr les clewlow and dr chris strickland houston : 31 march 2000 london : 5 april 2000 fee : stg 950 / usd 1950 this is an intermediate course aimed at the energy professional who is familiar with energy derivative products but who requires an understanding of the theory and calculation of value at risk for energy derivative portfolios . the format for the course will follow our usual highly practical and successful style of alternate sessions of lectures and excel based computer workshops . to facilitate intensive interaction the course will be limited to a maximum of 15 participants so early booking is advisable . the excel based computer workshops deal with oil and gas as well as electricity derivatives . at the end of the course participants leave with a diskette containing answers to all the workshops as well as valuable code for pricing and var calculations . registration fee includes : pre - course reading , course materials , copies of relevant research materials , diskette with fully worked solutions to computer workshops , lunch and refreshments . additionally , each attendee will receive a free copy of clewlow and strickland ' s forthcoming book \" energy derivatives : pricing and risk management \" . upon registration , participants will be sent a pack containing relevant pre - course reading . course outline day 1 , am : understanding the var methodologies and issues what is var ? uses of var types of var methodologies implications of applying the riskmetrics assumptions in energy markets delta var , historical simulation linear and non linear instruments workshop : applying simple var methodologies in the energy market day 1 , pm : calculation of energy portfolio var using simulation modelling the energy forward curve - single and multi - factor modelling the joint behaviour of different energies simultaneously calculation of covariances and correlations incorporating jumps detailed example var calculation for an energy portfolio workshop : simulating energy forward curves and calculation of var for an energy portfolio . dr . les clewlow and dr chris strickland hold associate research positions at both the school of finance and economics , university of technology , sydney and the financial options research centre , university of warwick , uk . together they have over 20 years combined experience in the financial and energy derivative markets and have published many articles in academic and trade journals . they are the authors of the book \" implementing derivatives models \" ( wiley , 1998 ) and editors of \" exotic options : the state of the art \" ( itp , 1998 ) . their forthcoming book , \" energy derivatives : pricing and risk management , \" is due to be published during the second quarter 2000 . currently , their interests are concentrated in the energy derivatives area , where they have developed a wide range of pricing tools for electricity options and other energy derivatives .", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0497", + "input": { + "raw_text": "Subject: your online sales are low because you don _ t have enough visitors ? submitting your website in search engines may increase your online sales dramatically . if you invested time and money into your website , you simply must submit your website oniine otherwise it wiil be invisibie virtuaiiy , which means efforts spent in vain . if you want peopie to know about your website and boost your revenues , the only way to do that is to make your site visible in places where peopie search for information , i . e . submit your website in multiple search engines . submit your website online and watch visitors stream to your e - business . best reqards , springmorqan _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ not interested . . . _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0051", + "input": { + "raw_text": "Subject: ethylene margin collar simulation model i set up the simulation model . the margin follows a mean - reverting process . i seperarted the data into two category , margin > 0 . 04 and margin < 0 . 04 . then i estimate the mean reverting speed seperately for these two data sets . i got higher mean reverting speed than that i estimated using the whole data set . the high mr speed surpresses the probability at high payout side . since the mr speed is sensitive to where i divide the data , so bob will run a few senarios . i put the overal settlement cap and floor into the montly premium calculation , so the the result in el 8 on the summary page is the ultimate answer to the deal pricing . i also calculate the undiscounted payout distribution and overall collar worth . relax the overall cap and floor will have a direct comparison with the spread option approach that bob and lee set up . look like we got a reasonable model . stinson : i ' d like to have you check my set up for the simulation model . lee and douglas : you can play with the model , and let me know what do you think . bob : we need run different price curve senarios using the simulation model . plus different mr speed . zimin", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0313", + "input": { + "raw_text": "Subject: eol project vince , just to update you on how things are going with regard to eol - i had a meeting with john arnold yesterday to show him what had been accomplished to date , and i think that he was fairly impressed by the information available . i asked him for his input , and he expressed his interest in having a couple of reports made up that couldn ' t be created from the format the data was in . i spoke to clayton about this , and he has already made changes that will reflect a number of the modifications john requested . i am also continuing to research the issue of an automated trading platform for eol . i have some information about how the nasdaq operates , and i have looked at some websites for ecns , such as archipelago , island and instinet . i have also had a look at the international securities exchange ( ise ) web - site , but they do not seem to explain much about their system . any further suggestions would be appreciated . i want to find out more about where eol is currently and what modifications may be necessary in the existing system , finish reading the material at the websites i have investigated , and then i will try to put together a presentation for you and / or greg whalley . tom", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0208", + "input": { + "raw_text": "Subject: uk inflation presentation deal all , please find attached a copy from a presentation on uk inflation we gave this morning to john sherriff , president & coo enron europe . it summarizes the results of our work on inflation so far . as you know the long term models still remain to be approved . as today is quarter end and there is a significant p & l effect on a mtm basis john sherriff would like to proceed as soon as possible with the new curves . thank you all for all your help ! best regards , martina x 34327", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0071", + "input": { + "raw_text": "Subject: your in - home source of health information same medicine , different price ! never go to bed mad . stay up and fight . it is in justice that the ordering of society is centered . usenet is like tetris for people who still remember how to read . when the going gets weird , the weird turn pro .", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0020", + "input": { + "raw_text": "Subject: interview for japan office darren , tanya and i had a telephone interview for yumi . i do not know what kind of position you would offer her . if you intended to let her do the work on quantitative modeling , her knowledge in math seems very sallow . she is working on a math degree on stochastic process , but she can not explain what ito ' lemma is . we also asked questions about volatility of a basket , value at risk , etc . she did not have a clear answer . if you intended to let her to be a junior trader , she might be ok . it seems she has some experience of financial market , but i think you are much more qualified to probe her than i do in this aspect . keep in touch , best regards zimin from : darren delage @ enron on 01 / 12 / 2001 11 : 59 am ze 9 to : \" mm 21 yumi \" cc : zimin lu / hou / ect @ ect subject : re : next tuesday good afternoon imokawa - san , we would like to invite you to have a brief dialogue with some members of our research team . they would like to ask you to briefly expound on your mathematical studies . if you could please contact them next wednesday at 7 : 50 am ( it should be 4 : 50 pm houston time , tuesday ) . the conversation should take no more than 20 minutes of your time , and will enable us to get a more enhanced understanding of your quantitative abilities . zimin lu , director of research , can be reached at 713 - 853 - 6388 to dial from japan , 0061 - 1 - 713 - 853 - 6388 if you could please send zimin a copy of your resume before the interview , that would be much appreciated . you can call the above number to obtain the appropriate fax number . i will be in touch with you shortly thereafter . sincerely , darren \" mm 21 yumi \" 01 / 11 / 2001 08 : 35 pm to : cc : subject : thank you darren , thank you for cordinating everything . i understand it takes time , this is only the first week of the year in japan , and i do not like to push you much . normally , i have long meetings every thursday . for other dates , i make best effort to fit the schedule for your convenience , including early morning or late evening . i am looking forward to seeing you sometime soon . sincerely , yumi imokawa", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0207", + "input": { + "raw_text": "Subject: re : sorry see you at 11 : 30 in the hyatt lobby . vince j kaminski @ ect 04 / 05 / 2000 03 : 01 pm to : michael j popkin / enron _ development @ enron _ development cc : shirley crenshaw / hou / ect @ ect , vince j kaminski / hou / ect @ ect subject : re : sorry monday 4 / 10 looks fine . vince michael j popkin @ enron _ development 04 / 05 / 2000 02 : 55 pm to : vince j kaminski / hou / ect @ ect cc : shirley crenshaw / hou / ect @ ect subject : re : sorry vince , i am not totally clear from your note on your availability . are you free next monday ( 4 / 10 ) ? michael vince j kaminski @ ect 04 / 05 / 2000 02 : 45 pm to : michael j popkin / enron _ development @ enron _ development cc : vince j kaminski / hou / ect @ ect , shirley crenshaw / hou / ect @ ect subject : re : sorry michael , next week starting friday . outr on thu and fri . vince michael j popkin @ enron _ development 04 / 05 / 2000 12 : 54 pm to : vince j kaminski @ ect cc : subject : sorry vince , sorry about lunch yesterday . i hope you got the message in time that i was out sick . i ' d like to rescheduel . when are you free ? michael", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0012", + "input": { + "raw_text": "Subject: re : risk report on \" guide to electricxity hedging \" and request fo r gu est access to enrononline ed , louise must be very busy . i sent her another message regarding your request . i shall call her if there is no reply from her within 3 days . please , let me know . vince ekrapels on 02 / 04 / 2000 01 : 58 : 59 pm to : vince j kaminski / hou / ect @ ect cc : subject : re : risk report on \" guide to electricxity hedging \" and request fo r gu est access to enrononline dear vince , i have not heard from louise and assume i cannot access enrononline . as a result , i have written what i can discern in the attached draft chapter for the risk guide to electricity hedging . could you review the enrononline section and let me know if i have any factual errors ? obviously , i welcome any other comments you might have . don ' t warry about any textual problems - - me editors will catch those . english is , after all , my thrid language ( he said , defensively ) . sorry i couldn ' t gain access . enrononline looks interesting and the stock market seems to be giving you a strong pat on the back . well done . thanks for your help . ed krapels - - - - - original message - - - - - from : vince j kaminski [ mailto : vkamins @ ect . enron . com ] sent : tuesday , january 18 , 2000 2 : 44 pm to : ekrapels cc : vince j kaminski subject : re : risk report on \" guide to electricxity hedging \" and request for gu est access to enrononline ed , i sent a message to louise kitchen who runs the enrononline effort . she should be getting back to you shortly . vince ekrapels on 01 / 18 / 2000 12 : 00 : 12 pm to : vince j kaminski / hou / ect @ ect cc : subject : risk report on \" guide to electricxity hedging \" and request for gu est access to enrononline dear vince , greetings from boston , where we ' re doing all we can to help keep the price of gas high . as i may have told you earlier , i ' m writing a \" guide to electricity hedging \" for risk publications similar to the report on oil . i had planned to write a significant section on enrononline , and in the midst of my research on the topic was denied access by enron ' s gatekeeper . can you help get me in ? as always , the best from here . ed krapels - - - - - original message - - - - - from : donna greif [ mailto : dcorrig @ ect . enron . com ] sent : tuesday , january 18 , 2000 12 : 37 pm to : ekrapels @ esaibos . com subject : request for guest access dear mr . krapels : thank you for requesting guest access to enrononline . unfortunately , we are unable to give you quest access at this time . enrononline is exclusively for those companies who can transact wholesale energy commodities and related products . in addition , you had indicated within the comments section of your email that you are preparing a \" guide to electricity hedging \" for risk publications . i have forwarded your inquiry to our public relations department along with your contact information . should you not hear back from anyone within a reasonable amount of time , please feel free to contact our call center at 713 853 - help ( 4357 ) . sincerely , donna corrigan greif enrononline help desk 713 / 853 - 9517 - attl . htm", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0293", + "input": { + "raw_text": "Subject: re : greetings carlos , please , forward their resumes to us and we shall set up an interview for them . vince carlos ordonez on 11 / 21 / 2000 09 : 30 : 08 am to : stinson . gibner @ enron . com cc : vkamins @ enron . com subject : re : greetings dear vincent and stinson , both my students would love to come visit you guys for an informal visit in the near future . please let me know well ahead of time when they can come . if possible , see to it that their parking expenses be paid when they do come . i ' ll be in touch with you all over the next months about this and a possible postdoctoral / trainee agreement ( world lab . ) . cheers , carlos", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0420", + "input": { + "raw_text": "Subject: re : power 2000 zimin , you are the lst . feel free to register as my guest . vince zimin lu 02 / 14 / 2000 02 : 59 pm to : vince j kaminski / hou / ect @ ect cc : subject : power 2000 vince , could you take me as your guest for the power 2000 conference if no one has asked already ? there are a few interesting topics i would like to hear . zimin", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0058", + "input": { + "raw_text": "Subject: itinerary phelim , fyi vince", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0155", + "input": { + "raw_text": "Subject: re : gwen koepke i will see you on friday at 3 . if you would like for me to come before then , just let me know . - - - - - original message - - - - - from : kaminski , vince sent : wednesday , may 02 , 2001 3 : 01 pm to : labbe , anne cc : kaminski , vince subject : re : gwen koepke anne , thanks for contacting me about this . as a matter of fact , i wanted to talk to you about it today as this matter was outstanding for a long time . i think we should go ahead and adjust gwen to manager , effective march 1 . the compensation would be her current base plus 10 k . this is what we typically do when we promote an associate to a manager . such promotions take place in march and i think gwen should not be penalized for the inefficiency of her management ( i . e . my and maureen ' s procrastination ) . on unrelated and more serious matter . gary hickerson is the primary client for maureen ' s services . he communicated to me a few weeks ago that he is unwilling to underwrite maureen ' s position ( he is in general unhappy with her contribution ) . this means that maureen will have to find another sponsor or leave enron . given her abrasive and aggressive personality finding another internal customer will be quite a challenge . gary volunteered to pay a very generous severance to maureen from his budget . i would like to talk to you about it when you have a few minutes . vince from : anne labbe / enron @ enronxgate on 05 / 02 / 2001 10 : 34 am to : vince j kaminski / hou / ect @ ect cc : subject : gwen koepke vince , just wanted to touch base with you . i have tried to contact maureen so that gwen ' s title and salary can be adjusted to manager just as you requested , but have not heard any response from her . would you like for me to wait until i hear from maureen or should i go ahead and proceed in changing her title ? i just want to make sure that gwen is in the right peer group during prc . also , i am going to try and set up a meeting with you next week through shirley to discuss any buring issues that you are experiencing , and your expectations during prc . thanks , anne", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0467", + "input": { + "raw_text": "Subject: re : meeting sorry for the rescheduling . shalesh is unable to make it until late this afternoon . since what we have is informal and not urgent , perhaps we can catch you for a few minutes just sometime late today or tomorrow before you leave . otherwise , it can wait until you return . thanks , martin vince j kaminski 09 / 19 / 2000 08 : 36 am to : martin lin / hou / ect @ ect cc : vince j kaminski / hou / ect @ ect , shirley crenshaw / hou / ect @ ect subject : re : meeting martin , let ' s try bet 1 and 2 : 30 . vince from : martin lin on 09 / 19 / 2000 08 : 30 am to : vince j kaminski / hou / ect @ ect cc : subject : meeting shalesh and i wanted to meet with you briefly , but this morning ' s timing isn ' t working out . are you available this afternoon , sometime after 5 pm ? thanks , martin", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0483", + "input": { + "raw_text": "Subject: re : agenda for ny mg metals visit hi ted and vince , thank you for conveying our thoughts exactly - tanya and i hope to close the circle with you at 4 pm , ted . regards , anjam and tanya from : ted murphy 14 / 07 / 2000 16 : 02 to : vince j kaminski / hou / ect @ ect cc : richard sage / lon / ect @ ect , vince j kaminski / hou / ect @ ect , anjam ahmad / lon / ect @ ect , bjorn hagelmann / hou / ect @ ect , ted murphy / hou / ect @ ect , dale surbey / lon / ect @ ect , stinson gibner / hou / ect @ ect , steve w young / lon / ect @ ect , eric gadd / lon / ect @ ect , david port / market risk / corp / enron @ enron subject : re : agenda for ny mg metals visit i agree with vince . ideally , this visit would supplement rather than duplicate effort . however , on the front end , i would prefer a little overkill to underkill - especially with respect to the var process . i would defer to anjam / tanya ' s opinion as to what is necessary to get an initial comfort level . remember that this is the first cut , but it will need to be refined over time to the point where it is credible enough to force someone to take a position down based on the calculatiion . if this causes some heartburn please refer those people to me . ted vince j kaminski 07 / 14 / 2000 09 : 04 am to : lloyd fleming / lon / ect @ ect cc : richard sage / lon / ect @ ect , vince j kaminski / hou / ect @ ect , anjam ahmad / lon / ect @ ect , bjorn hagelmann / hou / ect @ ect , ted murphy / hou / ect @ ect , dale surbey / lon / ect @ ect , stinson gibner / hou / ect @ ect subject : re : agenda for ny mg metals visit lloyd , speaking from experience , i think that it ' s critical for tanya and anjam to visit mg in new york and establish direct relationship with technical people . merging two risk management systems requires handling many very technical issues and face to face discussions between it and quants will be very helpful . vince from : lloyd fleming 07 / 14 / 2000 03 : 42 am to : tanya tamarchenko / hou / ect @ ect cc : andreas . barschkis @ mgusa . com @ enron , richard sage / lon / ect @ ect , vince j kaminski / hou / ect @ ect , anjam ahmad / lon / ect @ ect , bjorn hagelmann / hou / ect @ ect , ted murphy / hou / ect @ ect , dale surbey / lon / ect @ ect , stinson gibner / hou / ect @ ect subject : re : agenda for ny mg metals visit tanya , i think most of your queries can be dealt with on the phone - i ' ll be at mg with andreas today and we ' ll call you . most of these points have already been covered with anjam in any case . i ' m also attaching a file downloaded from mercur ( mg ' s risk aggregation system ) showing monthly total positions for each metal in each entity . you can fairly easily create tables and graph what you want to see . we can talk today about getting a full deal download . regards tanya tamarchenko 13 / 07 / 2000 22 : 45 to : andreas . barschkis @ mgusa . com @ enron cc : dale surbey / lon / ect @ ect , lloyd fleming / lon / ect @ ect , richard sage / lon / ect @ ect , vince j kaminski / hou / ect @ ect , anjam ahmad / lon / ect @ ect , stinson gibner / hou / ect @ ect , bjorn hagelmann / hou / ect @ ect , ted murphy / hou / ect @ ect subject : agenda for ny mg metals visit hi andreas , here are the issues we would like to discuss on our thursday meeting in ny : 1 . inputs for options valuation , in particular the origins of volatility curves ; 2 . information on exotic options structures ( existing 3 . the data flow ( are we going to get data from london or ny ) . 4 a . storage of positions information at mg . how to extract the positions info from mg database into spreadsheets . 4 b . existing positions structure for each metal . 5 . introduction to concentrates trading business , key personnel . best regards , tanya & anjam 713 853 3997", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0133", + "input": { + "raw_text": "Subject: timesheets hello all : i am afraid i did not allow enough time to do the time sheets by asking for them by the 15 th and 31 st . i really need these sheets by the 13 th and 28 th of each month as it takes a good half day to enter all the new times in the time sheets . i am resending this , because as of now i have received very few timesheets and i really need to start imputting the time . thanks ! shirley - - - - - - - - - - - - - - - - - - - - - - forwarded by shirley crenshaw / hou / ect on 07 / 12 / 2000 11 : 25 am - - - - - - - - - - - - - - - - - - - - - - - - - - - shirley crenshaw 07 / 11 / 2000 03 : 12 pm to : vince j kaminski / hou / ect @ ect , stinson gibner / hou / ect @ ect , pinnamaneni krishnarao / hou / ect @ ect , vasant shanbhogue / hou / ect @ ect , mike a roberts / hou / ect @ ect , joseph hrgovcic / hou / ect @ ect , grant masson / hou / ect @ ect , tanya tamarchenko / hou / ect @ ect , zimin lu / hou / ect @ ect , alexios kollaros / hou / ees @ ees , martin lin / hou / ect @ ect , maureen raymond / hou / ect @ ect , osman sezgen / hou / ees @ ees , paulo issler / hou / ect @ ect , patricia tlapek / hou / ect @ ect , farouk lalji / hou / ect @ ect , amitava dhar / corp / enron @ enron , alex huang / corp / enron @ enron , kevin kindall / corp / enron @ enron , kevin g moore / hou / ect @ ect , clayton vernon / corp / enron @ enron , william smith / corp / enron @ enron , yanna crystal / corp / enron @ enron , jose marquez / corp / enron @ enron , samer takriti / corp / enron @ enron , chonawee supatgiat / corp / enron @ enron , shalesh ganjoo / hou / ect @ ect , tom halliburton / corp / enron @ enron , elena chilkina / corp / enron @ enron , cantekin dincerler / hou / ect @ ect , brad aimone / na / enron @ enron , datren williams / na / enron @ enron , sevil yaman / corp / enron @ enron , sofya tamarchenko / na / enron @ enron , bob lee / na / enron @ enron , ainsley gaddis / na / enron @ enron , gwyn koepke / na / enron @ enron , guiseppe paleologo / na / enron @ enron , hector campos / hou / ect @ ect , anita dupont / na / enron @ enron , youyi feng / na / enron @ enron , v charles weldon / hou / ect @ ect cc : subject : timesheets hello everyone : well it is almost that time again ! i am going to try something different . i am forwarding you the time sheet by email . save the document to whatever drive you want to and then fill out any off duty time or overtime that you had and return to me by email . i will need this by the 15 and 30 ( or 31 st ) of each month . this may work better than hand delivering . let me know what you think .", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0265", + "input": { + "raw_text": "Subject: update - reimbursement of individually billed items the use of cell phones and pagers has increased dramatically in the past few years . as a result the accounts payable department has seen a rapid increase in the number of invoices and vendors . with the higher volume , we have reviewed our processes in order to continue our rapid payment cycle . although we encourage vendors to address their invoices to individual employees , they often mail invoices directly to accounts payable . at times they fail to list the individual who uses the pager or cell phone . in these cases we return the invoice to the vendor . if the employee is designated , we try to track him / her down and forward the invoice . the high level of employee movement among jobs and locations at enron has made this increasingly challenging . either way , we end up doing something less productive than paying invoices . to maintain satisfactory response to our vendors and to reduce time necessary for research , we request that employees who have pagers , cell phones , and other individually billed items such as licenses , subscriptions , etc . , pay for them by personal check or charge card ( if applicable \u0001 * payment instructions are usually indicated on the invoice ) and request reimbursement through employee expense reports . by submitting these charges on your expense report , you can help us reduce the amount of time spent researching and forwarding invoices , the number of checks generated by treasury , the number of vendors in our database , and the turnaround time for payment of invoices . incidentally , accounts payable is currently installing a corporate - wide web - based expense reporting system similar to what enron international has used for the past year . this will make it even easier to file your expense report and receive quick reimbursement . we \u0001 , d like to make this effective immediately . if you have any questions or suggestions , please contact the accounts payable department .", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0095", + "input": { + "raw_text": "Subject: lng meeting bjorn : the lng meeting will be held tomorrow the 17 th of may at 11 : 00 pm houston time . the phone number for the conference room is : 713 / 853 - 3135 thanks ! shirley", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0288", + "input": { + "raw_text": "Subject: interview schedule for aram sogomonian please find the interview packet for the above - referenced person . the interview will occur on wednesday october 25 , 2000 . please print both documents for your reference . if you have any questions , or conflicts of schedule , please do not hesitate to contact me . resume will be delivered via runner . stephanie 58701", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0411", + "input": { + "raw_text": "Subject: re : installation of new programs i gave you local admin rights on your laptop yesterday . what you have to do is to log into the laptop using the local machine account . the id and the password is the same as your corp login now . the password on the local account will never change . if you have a minute today i will show you how . let me know a time . phillip randle desktop support specialist x 39665 - - - - - original message - - - - - from : kaminski , vince sent : tuesday , may 01 , 2001 5 : 17 pm to : randle , phillip c . cc : kaminski , vince subject : installation of new programs phillip , how can i install new programs on my laptop , without the administrator ' s privileges ? one example : when i travel i use aol to get access to my mail and to communicate with the office . windows 2000 does not allow me to install it . also , i have my private statistical software i often use when i work at night during business trips . i would like to load it as well . vince", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0254", + "input": { + "raw_text": "Subject: petrochem desk vasant , it seems we have to help them . can kate help on this project ? vince - - - - - - - - - - - - - - - - - - - - - - forwarded by vince j kaminski / hou / ect on 04 / 23 / 2001 09 : 28 am - - - - - - - - - - - - - - - - - - - - - - - - - - - nelson neale @ enron 04 / 20 / 2001 10 : 29 am to : vince j kaminski / hou / ect @ ect , vasant shanbhogue / enron @ enronxgate cc : subject : petrochem desk i had a chance to speak with christian lebroc this morning with regard to curve building for petrochemicals . as it turns out , christian left rac in april and joined the petrochem desk as a trader . previous efforts at construction of a forward curve by the group have focused on intuition or swags . unfortunately , the group had a rough p & l year with at least some of the blame directed toward the forward curve or lack thereof . when asked about the fundamentals group , christian indicated that they ' d only been around about 3 - 4 months and are not yet well - suited to curve building . john nowlan is indeed the head of the group . from a timing perspective , i told christian that it would probably take at least 6 - 8 weeks to develop a curve , especially considering the need to understand the key market drivers / fundamentals . as was suggested yesterday during our meeting , a strong relationship between petrochemicals and a nymex component ( e . g . , crude oil ) would provide a great beginning point - - we could then potentially strengthen / augment this relationship with other key factors ( e . g . , supply and demand terms ) borne out of our market research . nelson", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0291", + "input": { + "raw_text": "Subject: year end 2000 feedback deadline prc meetings begin on monday , november 20 th . if you have not already done so , please go in to pep at http : / / pep . corp . enron . com and complete the requests for feedback on the employees listed below . if you have any questions , please call the pep help desk at : houston : 1 - 713 - 853 - 4777 , option 4 london : 44 - 207 - 783 - 4040 , option 4 e - mail : perfmgmt @ enron . com thank you for your participation . andrews , naveen c baxter , ashley campos , hector o carson , richard l crenshaw , shirley j gandy , kristin h gorny , vladimir hewitt , kirstee l hickerson , gary j kaminski , wincenty j kindall , kevin leppard , steven patrick , christie a pham , bich anh t raymond , maureen j rosen , michael b sun , li supatgiat , chonawee tamarchenko , tanya v tawney , mark r thuraisingham , ravi williams , matthew yaman , sevil yuan , ding", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0383", + "input": { + "raw_text": "Subject: address for recommendations vince , please forward the recommendations to the following address : 2569 windbreak dr . alexandria , va 22306 don ' t forget to label each envelope , e . g . \" columbia \" , etc . , and to sign each envelope over the adhesive seal . i must receive the package before the new year in order to meet the submission deadline . thank you for your time , and happy holidays . - hector", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0329", + "input": { + "raw_text": "Subject: market maker simulation v . 2 stinson and vince , i finished the second version of the model which deals with open to close trading . the major difference is that there is an additional mark to market at open price which will affect the p / l . i also added the output features that john wants to see . the cumulative p / l is path dependent , the net open allowed seemingly has a strong influence on the cumulative p / l trajectory . ( the anomaly i discussed with vince is due to the trajectory shape change which needs further examination ) . could you review what i have done before we talk to john again ? zimin", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0275", + "input": { + "raw_text": "Subject: 4 : 00 pm budget meeting dave will continue to have the friday afternoon \" budget meetings \" with one change : effective april 21 , 2000 the time will change from 4 : 00 pm to 3 : 00 pm . date : fridays this friday , aril 14 , 2000 remains at 4 : 00 pm time : 3 : 00 pm - 4 : 00 pm location : 3321 topic : budget meeting if you have any questions / conflicts , please feel free to call me or bev ( 5 - 7857 ) . thanks , kay 3 - 0643", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + }, + { + "id": "0209", + "input": { + "raw_text": "Subject: super saturday iv interviews thank you for volunteering to participate in the interview process of the january 15 associate super saturday . our team is working on the weekend arrangements and will deliver your information packet to you thursday , january 15 . if you have any questions , please let elizabeth boudreaux know at x 3 - 6176 . thank you ! ginger gamble manager associate & analyst program", + "prompt": "<<>>. Classify if this email is spam or non_spam. Provide only the category name as output." + }, + "output": { + "category": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Spatial-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Spatial-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5a74f8b61a3c6de06712acad5c61b434722ed249 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Spatial-Reasoning/annotation.json @@ -0,0 +1,460 @@ +{ + "task": "Spatial Reasoning", + "type": "MultipleChoiceQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "sr008", + "input": { + "question": "We have three blocks. Lets call them A, B and C. Block A has two medium black squares. Below medium black square number two is medium black square number one. Block B is to the left of block A. It contains one medium blue square. To the right of block B there is block C which contains two medium yellow squares. Below medium yellow square number two is medium yellow square number one.Which object is to the right of a medium square? medium yellow square number two or medium yellow square number one?", + "options": [ + "medium yellow square number two", + "medium yellow square number one", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr254", + "input": { + "question": "We have three blocks, A, B and C. Block A is below block C and above block B. Block A has two medium yellow squares. Medium yellow square number one is touching the bottom edge of this block. This shape is below medium yellow square number two. Block B contains one medium blue square. The medium blue square is touching the bottom edge of this block. This block also has a medium yellow square. Below the medium yellow square there is the medium blue square. Block C contains one medium blue square. Are all medium yellow squares number two above a square that is above a medium blue square that is touching the bottom edge of a block?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr276", + "input": { + "question": "There are three blocks, A, B and C. Block A contains a medium blue square. This block also contains a medium black square. The medium blue square is below the medium black square. Block B is to the right of block A. It contains a medium black square and a medium blue square. A medium yellow square is below the medium blue square.. Below the medium yellow square and the medium blue square is the medium black square. Finally, there is block C which is to the right of block A. It contains one medium yellow square. Below a medium blue square there is the medium yellow square. Is there a medium blue square above all medium yellow squares?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr463", + "input": { + "question": "J is at a 45 degree angle to I, in the lower righthand corner. N is diagonally to the upper left of B. V is lower left to B. U presents right to V. What is the relation of the agent V to the agent B?", + "options": [ + "lower-left", + "upper-right", + "lower-right", + "upper-left" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr369", + "input": { + "question": "B is above N with a small gap between them. X is diagonally to the bottom right of N. E is over there with X below. V is sitting at the 6:00 position to M. What is the relation of the agent E to the agent X?", + "options": [ + "above", + "below", + "left", + "right" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr437", + "input": { + "question": "D is sitting at the upper left position to A. W is sitting at the top position to C. C is on the upper right of O. C is on the left side of and below E. V and E are both there with the object V is to the right of object E. What is the relation of the agent W to the agent E?", + "options": [ + "left", + "right", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr061", + "input": { + "question": "We have three blocks. We call them A, B and C. Block A contains two medium black squares. Below medium black square number two there is medium black square number one. Above block A is block B with a medium black square and a medium yellow square in it. The medium black square is below the medium yellow square. Above block B there is block C which has a medium blue square and a medium yellow square. The medium blue square is below the medium yellow square and a medium black square. Below the medium black square is the medium yellow square.Which object is below a medium black square? medium black square number two or the medium black square that is in block B?", + "options": [ + "medium black square number two", + "the medium black square that is in block B", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr076", + "input": { + "question": "There are three blocks. We call them A, B and C. There are a medium yellow square, one medium blue square and one medium black square in block A. The medium yellow square is touching the bottom edge of this block. It is below the medium black square and the medium blue square. The medium blue square is below the medium black square. Then, there is block B with a medium black square in it. Finally, to the left of block A we have block C. It is below block B. It contains a medium yellow square.Which object is above a medium yellow square? the medium black square that is in block B or the medium black square that is in block A?", + "options": [ + "the medium black square that is in block B", + "the medium black square that is in block A", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr472", + "input": { + "question": "Q is to the bottom left of G. Q is below D and to the left of D. Q is sitting at the lower left position to C. V is to the left of S. N presents upper left to Q. What is the relation of the agent Q to the agent G?", + "options": [ + "lower-left", + "upper-right", + "lower-right", + "upper-left" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr293", + "input": { + "question": "There are three blocks. Lets call them A, B and C. Two medium blue squares are in block A. Medium blue square number one is touching the bottom edge of this block. It is below medium blue square number two. Block B is to the right of block A. It has two medium blue squares. Medium blue square number one is touching the bottom edge of this block. This shape is below medium blue square number two. Finally, we have block C. It is below block A. It contains one medium blue square.Is the medium blue square that is in block C below all medium squares that are below blue square number two?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr167", + "input": { + "question": "We have three blocks. Lets call them A, B and C. Block A has a medium yellow square. A medium black square is touching the bottom edge of this block. It is below the medium yellow square. Above block A is block B which contains a medium blue square. To the right of block A there is block C with a medium blue square and one medium black square in it. The medium blue square is touching the bottom edge of this block. It is below the medium black square. Which object is to the right of a medium black square? the yellow thing or the medium blue square that is touching the bottom edge of a block?", + "options": [ + "the yellow thing", + "the medium blue square that is touching the bottom edge of a block", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr142", + "input": { + "question": "There are three blocks. We call them A, B and C. Block B is below block A and to the right of block C. Block A has a medium black square and a medium blue square. The medium black square is touching the bottom edge of this block. This object is below the medium blue square. Block B contains one medium blue square. A medium yellow square is touching the bottom edge of this block. It is below the medium blue square. Block C has a medium blue square and one medium yellow square. The medium blue square is touching the bottom edge of this block. It is below the medium yellow square.Which object is to the right of a medium yellow square? the medium blue square that is touching the bottom edge of a block or the medium blue square that is in block A?", + "options": [ + "the medium blue square that is touching the bottom edge of a block", + "the medium blue square that is in block A", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr375", + "input": { + "question": "G is to the left of C and is on the same horizontal plane. E and O are both there with the object E is to the left of object O. O is there and T is at the 2 position of a clock face. C is there and T is at the 10 position of a clock face. H is sitting at the upper right position to X. What is the relation of the agent T to the agent O?", + "options": [ + "upper-right", + "lower-left", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr269", + "input": { + "question": "There are three blocks. We call them A, B and C. There are three medium blue squares in block A. Medium blue square number one is touching the bottom edge of this block. Below medium blue square number three is medium blue square number two. Medium blue square number one is below medium blue square number three and medium blue square number two. Above block A there is block B which contains one medium blue square. Below block B there is block C. It contains one medium blue square, a medium black square and one medium yellow square. The medium black square is below the medium yellow square. Below the medium yellow square and the medium black square is the medium blue square. Is the medium blue square which is in block B above all blue squares that are below medium blue thing number three?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr086", + "input": { + "question": "There are three blocks. Lets call them A, B and C. Block A is to the left of block B and it is below block C. Block A has a medium yellow square. Block B has one medium blue square. Below a medium black square is the medium blue square. And block C has two medium blue squares. Medium blue square number one is touching the bottom edge of this block. It is below medium blue square number two.What is to the right of the yellow object? a blue shape which is touching the bottom edge of a block or a medium black square?", + "options": [ + "blue shape which is touching the bottom edge of a block", + "medium black square", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr395", + "input": { + "question": "P is over there with V below. D is above and to the left of O. D is positioned in the front right corner of V. Q is positioned in the lower left corner of Y. What is the relation of the agent V to the agent P?", + "options": [ + "above", + "below", + "left", + "right" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr359", + "input": { + "question": "The object F is lower and slightly to the right of the object S. The objects K and Z are over there. The object K is lower and slightly to the left of the object Z. L is to the left of P. F is sitting at the upper left position to L. What is the relation of the agent L to the agent F?", + "options": [ + "lower-right", + "upper-left", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr320", + "input": { + "question": "P and D are side by side with D at the bottom and P on the top. F presents below D. Object P is above object H and to the left of it, too. Z is upper right to A. What is the relation of the agent H to the agent P?", + "options": [ + "lower-right", + "upper-left", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr255", + "input": { + "question": "There are three blocks, A, B and C. There is a medium yellow square in block A. Then, there is block B. It contains a medium yellow square, one medium black square and one medium blue square. The medium yellow square is touching the bottom edge of this block. This shape is below the medium black square and the medium blue square. The medium black square is below the medium blue square. Finally, below block A we have block C which is above block B. It has two medium yellow squares. Medium yellow square number one is below medium yellow square number two. Is the medium yellow square that is below a medium blue square far from all medium squares that are below yellow square number two?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr363", + "input": { + "question": "E is at a 45 degree angle to V, in the lower lefthand corner. The object F is lower and slightly to the left of the object D. U and X are next to each other with X on the right and U on the left. E is diagonally to the upper right of U. What is the relation of the agent U to the agent X?", + "options": [ + "left", + "right", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr031", + "input": { + "question": "We have two blocks, A and B. One big yellow triangle and one small blue square are in block A. The big yellow triangle is to the left of and above the small blue square. Block B is to the left of block A. It has a medium black triangle, a medium blue square and a small blue circle. Below and to the right of the medium blue square is the medium black triangle. The medium blue square is above the small blue circle.Which object is to the right of a circle? the medium black triangle or the small blue square?", + "options": [ + "the medium black triangle", + "the small blue square", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr478", + "input": { + "question": "I is over there and X is directly above it. B and C are both there with the object B is to the right of object C. Z and B are in a horizontal line with B on the right. U is lower right of C. What is the relation of the agent B to the agent Z?", + "options": [ + "right", + "left", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr462", + "input": { + "question": "H presents below T. P is diagonally right and above V. T is slightly off center to the top left and E is slightly off center to the bottom right. D is at the bottom and Z is on the top. H is to the right and above P at an angle of about 45 degrees. What is the relation of the agent H to the agent P?", + "options": [ + "upper-left", + "lower-right", + "upper-right", + "lower-left" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr026", + "input": { + "question": "We have three blocks, A, B and C. There is one small black circle in block A. To the right of block A there is block B which has a small black circle. To the right of block B there is block C. It contains a big yellow square and a medium blue square. There are also a medium yellow square and one medium blue circle in this block. The big yellow square is touching the bottom edge of this block. Near to and to the left of the medium blue circle is the medium blue square.. The medium yellow square is above the big yellow square and the medium blue square.What is to the left of the medium blue circle? a small black circle or a medium blue square?", + "options": [ + "small black circle", + "medium blue square", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr047", + "input": { + "question": "We have three blocks, A, B and C. There is a small yellow triangle in block A. A small blue triangle is touching the bottom edge of this block. It is near to the small yellow triangle. Then, there is block B which contains one small blue triangle. A big blue triangle is below and near to the small blue triangle. Block C is below block B and above block A. It contains one medium blue triangle.Which object is above a thing that is touching the bottom edge of a block? the medium blue object or the small yellow thing?", + "options": [ + "the medium blue object", + "the small yellow thing", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr242", + "input": { + "question": "We have two blocks, A and B. There are one small yellow square, a big yellow circle and one small blue square in block A. The big yellow circle is touching the bottom edge of this block. This block also has a medium blue square. The small yellow square is touching the bottom edge of this block. This object is to the left of the big yellow circle which is below and touching the small blue square. This object is below and to the left of the medium blue square.. The big yellow circle is below the medium blue square. Above block A is block B. It has one big blue triangle. Is there any blue squares which are above a big yellow circle which is touching the bottom edge of a block below the triangle?", + "options": [ + "Yes", + "No", + "Don't Know" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr393", + "input": { + "question": "V and T are next to each other with T at the bottom V on the top. If M is the center of a clock face, J is located between 2 and 3. M and T are side by side with M to the left and T to the right. B is slightly off center to the top left and L is slightly off center to the bottom right. What is the relation of the agent T to the agent M?", + "options": [ + "above", + "below", + "left", + "right" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr314", + "input": { + "question": "The object N is positioned directly above the object K. The object labeled A is positioned to the right of the object labeled E. K is below P and to the right of P. Y is south east of N. N is below Q and to the right of Q. What is the relation of the agent Q to the agent K?", + "options": [ + "upper-left", + "lower-right", + "above", + "below" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr130", + "input": { + "question": "There are two blocks, A and B. Block A has two medium yellow squares. Medium yellow square number one is below medium yellow square number two. Below block A there is block B which has two medium black squares. A medium yellow square is also in this block. Medium black square number one is touching the bottom edge of this block. Medium black square number two is below the medium yellow square. Medium black square number one is below the medium yellow square and medium black square number two.What is above the shape that is touching the bottom edge of a block? a medium yellow square that is in block B or a medium yellow square number two?", + "options": [ + "medium yellow square that is in block B", + "medium yellow square number two", + "both of them", + "none of them" + ] + }, + "output": { + "answer": "" + } + }, + { + "id": "sr459", + "input": { + "question": "W is above T. L is to the right of W horizontally. T is positioned in the lower right corner of V. V and P are both there with the object P below the object V. D is on the left side of and below K. What is the relation of the agent T to the agent W?", + "options": [ + "below", + "above", + "left", + "right" + ] + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Stance-Detection/annotation.json b/Scope-A/S-A-Quick/nlp/Stance-Detection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fcd729727258de88dcf963c4e1c655ea76d4313b --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Stance-Detection/annotation.json @@ -0,0 +1,237 @@ +{ + "task": "stance_detection", + "data_source": "semeval_stance_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0223", + "input": { + "target": "Legalization of Abortion", + "tweets": "@BaronTrader @DynaMoChen Margret Sangers Looking a little rough!!!! #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0355", + "input": { + "target": "Hillary Clinton", + "tweets": "Team USA showed the world what American women are capable of! Is Hillary next? #WWC2015 #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0083", + "input": { + "target": "Atheism", + "tweets": "Proverbs 28:5 (KJV) Evil men understand not judgment: but they that seek the Lord understand all things. #heart #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0317", + "input": { + "target": "Hillary Clinton", + "tweets": "President Jimmy Carter: There's no doubt Hillary will get the nomination. And when she does I'll be happy to support her #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0020", + "input": { + "target": "Hillary Clinton", + "tweets": "@OutnumberedFNC: Hillary chooses Brianna Keilar for her first interview. What can we expect? #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0348", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "@CBSNewYork Seems the marine animals are finally declaring war on man due to man-made environmental destruction. #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0122", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "Participation is essential: bring vulnerable voices to the table at #COP21 says @wjamann #AgCOP21 #CFCC15 @cgiarclimate #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0343", + "input": { + "target": "Legalization of Abortion", + "tweets": "What about in cases of rape #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0303", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "If we touch #Antarctica for one more #reason other than to #research the #impact of us we would be #insane! #Democracy #Goal? #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0418", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "We NEED alternatives to #fossilfuel, but also need to maintain our #economy! This change will be gradual so lets START NOW! #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0163", + "input": { + "target": "Hillary Clinton", + "tweets": "@USATODAY @HillaryClinton how about finding her a #pathtoJAIL #DONOTPASSGO do collect any Any more of #WeThePeople s #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0008", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "#KCA #VoteJKT48ID ClimateCommRPB: The green diet: how to eat healthy and save the planet #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0457", + "input": { + "target": "Feminist Movement", + "tweets": "@Cernovich lets hang our heads in shame that men have become so feminized #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0105", + "input": { + "target": "Hillary Clinton", + "tweets": "@GOP Why should I believe you on this? The GOP leaders in congress won't fight Obama now!!! #tcot #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0218", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "Paul Leadley Talking about #biodiversity scenarios under #h22 #CFCC15 #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0301", + "input": { + "target": "Feminist Movement", + "tweets": "Ironic how the anti- feminist intimidation machine has drowned out the voices of those trying to civilly critique feminist ideas. #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0371", + "input": { + "target": "Atheism", + "tweets": "We become what we worship. So be intentional in choosing what you worship for that is what you will become. #worship #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0346", + "input": { + "target": "Legalization of Abortion", + "tweets": "@ShowTruth Get out of my city. #ygk #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0372", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "The extreme humidity and heat right now might kill me and it's only 10a.m. #FloridaProblems #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + }, + { + "id": "0440", + "input": { + "target": "Climate Change is a Real Concern", + "tweets": "@MAPSProgramme tackles difficult challenges of growth needs and unemployment alongside #CFCC15. #SemST", + "prompt": "Given the target '<<>>' and the tweet '<<>>', classify the stance of the tweet towards the target as either 'AGAINST' or 'FAVOR'. Provide only the stance as output." + }, + "output": { + "stance": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Story-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Story-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f253fb22c13bfa71d03597297248f94147d3b581 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Story-Generation/annotation.json @@ -0,0 +1,196 @@ +{ + "task": "Story Generation", + "type": "Story Generation", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "sg041", + "input": { + "prompt": "\"This was about a time when I went birthday shopping with my mother for my younger sister. Then after I had gone through a lot of thought about my gift I found out me and my other sister had picked out the same themed gift.\". Create a small story where this is somehow significant." + }, + "output": { + "story": "" + } + }, + { + "id": "sg449", + "input": { + "prompt": "Produce a short story that evolves from the given idea text." + }, + "output": { + "story": "" + } + }, + { + "id": "sg457", + "input": { + "prompt": "Make a brief story. Use the lead-in as your starting point." + }, + "output": { + "story": "" + } + }, + { + "id": "sg530", + "input": { + "prompt": "Extend the following text fragment into a short, captivating story." + }, + "output": { + "story": "" + } + }, + { + "id": "sg315", + "input": { + "prompt": "'My parents' celebrated their fiftieth anniversary. My dad came down to join the rest of us for a family dinner, though he was a little late and a little lost.'. Build a short story that somehow involves this." + }, + "output": { + "story": "" + } + }, + { + "id": "sg208", + "input": { + "prompt": "Utilize the following input text as a starting point to craft a brief narrative." + }, + "output": { + "story": "" + } + }, + { + "id": "sg280", + "input": { + "prompt": "Use the clue text as a stepping stone to create a compact story." + }, + "output": { + "story": "" + } + }, + { + "id": "sg337", + "input": { + "prompt": "Incorporate the concept of 'My best friend's father was diagnosed with an aggressive brain cancer several years ago. He has survived and beat the odds and recently found that the cancer was in remission making the recovery journey slightly more simpler.' in a brief creative piece." + }, + "output": { + "story": "" + } + }, + { + "id": "sg320", + "input": { + "prompt": "With the brief details in \"We took a long awaited trip to French Polynesia after I had been there 27 years ago. We visited five islands and I got my long awaited shark pictures. This was our 25th wedding anniversary and we had a wonderful time.\", create an engaging mini-story." + }, + "output": { + "story": "" + } + }, + { + "id": "sg023", + "input": { + "prompt": "\"This is a testimony of my true conversion at thirty-one years of age. I am a spiritual convalescent.\". Create a story using this as a core idea." + }, + "output": { + "story": "" + } + }, + { + "id": "sg304", + "input": { + "prompt": "\"The family had no - idea this had happened until minutes later, at which point everyone left my grandfather's funeral in disgust. While they did their best to console me, my - father took advantage of the lack of people around my grandmother, and he tried to talk her into glad.\". Compose a narrative where this plays a significant role." + }, + "output": { + "story": "" + } + }, + { + "id": "sg537", + "input": { + "prompt": "Turn this brief piece of information into a mini-story: 'After volunteering at a marathon I decided to run that same marathon the next year. I trained, froze my butt off, kept at it and then accomplished my goal. I finished the marathon in 8th place.'." + }, + "output": { + "story": "" + } + }, + { + "id": "sg589", + "input": { + "prompt": "Construct a succinct story having its roots in the provided snippet." + }, + "output": { + "story": "" + } + }, + { + "id": "sg329", + "input": { + "prompt": "Embed the elements of 'This is a story of my journey from an endometriosis diagnosis to the best thing I could ever hope to start. I will never be able to forget and thank my doctors enough for listening and treating me so well. Fertility treatments are now my life and we hope to soon welcome our own little one.' into a short story." + }, + "output": { + "story": "" + } + }, + { + "id": "sg358", + "input": { + "prompt": "Ever thought of turning a hint into a short story? Try it." + }, + "output": { + "story": "" + } + }, + { + "id": "sg033", + "input": { + "prompt": "'This is a story about a strong, young lad who handled a poor situation with dignity and honor. It also is about the effects of bullying and an example of exactly how this situation should be handled appropriately.'. Compose a narrative where this plays a significant role." + }, + "output": { + "story": "" + } + }, + { + "id": "sg353", + "input": { + "prompt": "Use the hint to form a brief story." + }, + "output": { + "story": "" + } + }, + { + "id": "sg361", + "input": { + "prompt": "From the following brief hint: 'I was finally promoted after four years of neglect and disrespect from other places of employment. Today was my inaugural day of being a manager in charge.', create a concise narrative." + }, + "output": { + "story": "" + } + }, + { + "id": "sg197", + "input": { + "prompt": "It's mini-story time! Use the guide text as your guide." + }, + "output": { + "story": "" + } + }, + { + "id": "sg590", + "input": { + "prompt": "\"After a 33-year hiatus, the Davis Family Reunion has come and gone. Several relatives who haven't seen each other in that 33-year span were able to reconnect and share stories about themselves and their loved-ones.\". Transform this into a brief but exciting tale." + }, + "output": { + "story": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Table-Question-Answering/annotation.json b/Scope-A/S-A-Quick/nlp/Table-Question-Answering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fa611c47c3590a2c116213fc5f62c06dbd3056f5 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Table-Question-Answering/annotation.json @@ -0,0 +1,316 @@ +{ + "task": "Table Question Answering", + "type": "OpenQA", + "version": "1.0", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "data": [ + { + "id": "tqa150", + "input": { + "question": "which building has 8 floors and is 240 ft tall?", + "table": "{\"headers\":[\"Name\",\"Street address\",\"Years as tallest\",\"Height\\nft (m)\",\"Floors\"],\"rows\":[{\"Street address\":\"4th Street South\",\"Years as tallest\":\"1882\u20131886\",\"Height\\nft (m)\":\"157 (48)\",\"Floors\":\"8\",\"Name\":\"Globe Building\"},{\"Street address\":\"10 5th Street South\",\"Years as tallest\":\"1886\u20131887\",\"Height\\nft (m)\":\"165 (50)\",\"Floors\":\"12\",\"Name\":\"Lumber Exchange Building\"},{\"Street address\":\"Central Avenue Southeast and Main Street Southeast\",\"Years as tallest\":\"1887\u20131890\",\"Height\\nft (m)\":\"240 (73)\",\"Floors\":\"8\",\"Name\":\"Industrial Exposition Building\"},{\"Street address\":\"308 2nd Avenue South\",\"Years as tallest\":\"1890\u20131895\",\"Height\\nft (m)\":\"258 (79)\",\"Floors\":\"12\",\"Name\":\"Metropolitan Building\"},{\"Street address\":\"350 5th Street South\",\"Years as tallest\":\"1895\u20131929\",\"Height\\nft (m)\":\"341 (104)\",\"Floors\":\"14\",\"Name\":\"Minneapolis City Hall\"},{\"Street address\":\"821 Marquette Avenue\",\"Years as tallest\":\"1929\u20131973\",\"Height\\nft (m)\":\"448 (137)\",\"Floors\":\"32\",\"Name\":\"Foshay Tower\"},{\"Street address\":\"80 8th Street South\",\"Years as tallest\":\"1973\u2013present\",\"Height\\nft (m)\":\"792 (241)\",\"Floors\":\"55\",\"Name\":\"IDS Tower\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa177", + "input": { + "question": "which season(s) earned first place?", + "table": "{\"headers\":[\"Season\",\"Tier\",\"Division\",\"Place\"],\"rows\":[{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1981/82\",\"Place\":\"17th\"},{\"Tier\":\"5\",\"Division\":\"Regional\",\"Season\":\"1982/83\",\"Place\":\"\u2014\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1983/84\",\"Place\":\"1st\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1984/85\",\"Place\":\"2nd\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1985/86\",\"Place\":\"1st\"},{\"Tier\":\"3\",\"Division\":\"2\u00aaB\",\"Season\":\"1986/87\",\"Place\":\"10th\"},{\"Tier\":\"3\",\"Division\":\"2\u00aaB\",\"Season\":\"1987/88\",\"Place\":\"1st\"},{\"Tier\":\"2\",\"Division\":\"2\u00aa\",\"Season\":\"1988/89\",\"Place\":\"18th\"},{\"Tier\":\"3\",\"Division\":\"2\u00aaB\",\"Season\":\"1989/90\",\"Place\":\"7th\"},{\"Tier\":\"3\",\"Division\":\"2\u00aaB\",\"Season\":\"1990/91\",\"Place\":\"8th\"},{\"Tier\":\"3\",\"Division\":\"2\u00aaB\",\"Season\":\"1991/92\",\"Place\":\"20th\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1992/93\",\"Place\":\"14th\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"1993/94\",\"Place\":\"19th\"},{\"Tier\":\"5\",\"Division\":\"Reg. Pref.\",\"Season\":\"1994/95\",\"Place\":\"9th\"},{\"Tier\":\"5\",\"Division\":\"Reg. Pref.\",\"Season\":\"1995/96\",\"Place\":\"4th\"},{\"Tier\":\"5\",\"Division\":\"Reg. Pref.\",\"Season\":\"1996/97\",\"Place\":\"1st\"},{\"Tier\":\"5\",\"Division\":\"Reg. Pref.\",\"Season\":\"1997/98\",\"Place\":\"2nd\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa325", + "input": { + "question": "who is listed below onn jaafar?", + "table": "{\"headers\":[\"#\",\"Menteri Besar\",\"Took office\",\"Left office\",\"Party\"],\"rows\":[{\"#\":\"1\",\"Menteri Besar\":\"Jaafar Mohamed\",\"Party\":\"No party\",\"Left office\":\"July 1890\",\"Took office\":\"1886\"},{\"#\":\"2\",\"Menteri Besar\":\"Mohamed Mahbob\",\"Party\":\"No party\",\"Left office\":\"1922\",\"Took office\":\"June 1920\"},{\"#\":\"3\",\"Menteri Besar\":\"Abdullah Jaafar\",\"Party\":\"No party\",\"Left office\":\"1928\",\"Took office\":\"September 1923\"},{\"#\":\"4\",\"Menteri Besar\":\"Mustapha Jaafar\",\"Party\":\"No party\",\"Left office\":\"November 23, 1931\",\"Took office\":\"September 16, 1928\"},{\"#\":\"5\",\"Menteri Besar\":\"Abdul Hamid Yusof\",\"Party\":\"No party\",\"Left office\":\"December 28, 1934\",\"Took office\":\"November 23, 1931\"},{\"#\":\"6\",\"Menteri Besar\":\"Ungku Abdul Aziz Abdul Majid\",\"Party\":\"No party\",\"Left office\":\"June 1, 1947\",\"Took office\":\"April 1935\"},{\"#\":\"7\",\"Menteri Besar\":\"Onn Jaafar\",\"Party\":\"No party\",\"Left office\":\"May 18, 1950\",\"Took office\":\"June 1, 1947\"},{\"#\":\"8\",\"Menteri Besar\":\"Syed Abdul Kadir Mohamed\",\"Party\":\"No party\",\"Left office\":\"June 5, 1955\",\"Took office\":\"February 18, 1952\"},{\"#\":\"9\",\"Menteri Besar\":\"Wan Idris Ibrahim\",\"Party\":\"No party\",\"Left office\":\"August 31, 1957\",\"Took office\":\"October 1, 1955\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa356", + "input": { + "question": "highest rd number?", + "table": "{\"headers\":[\"Rd\",\"Pick\",\"Player\",\"Position\",\"School\"],\"rows\":[{\"Rd\":\"1\",\"Player\":\"Chuck Bednarik\\n(Lottery bonus pick)\",\"School\":\"Pennsylvania\",\"Pick\":\"1\",\"Position\":\"Center\"},{\"Rd\":\"1\",\"Player\":\"Frank Tripucka\",\"School\":\"Notre Dame\",\"Pick\":\"9\",\"Position\":\"Quarterback\"},{\"Rd\":\"2\",\"Player\":\"Frank Burns\",\"School\":\"Rutgers\",\"Pick\":\"19\",\"Position\":\"Back\"},{\"Rd\":\"3\",\"Player\":\"Frank Ziegler\",\"School\":\"Georgia Tech\",\"Pick\":\"29\",\"Position\":\"Back\"},{\"Rd\":\"4\",\"Player\":\"Don Panciera\",\"School\":\"San Francisco\",\"Pick\":\"41\",\"Position\":\"Back\"},{\"Rd\":\"5\",\"Player\":\"Terry Brennan\",\"School\":\"Notre Dame\",\"Pick\":\"51\",\"Position\":\"Back\"},{\"Rd\":\"6\",\"Player\":\"Warren Huey\",\"School\":\"Michigan State\",\"Pick\":\"58\",\"Position\":\"End\"},{\"Rd\":\"7\",\"Player\":\"Frank Gillespie\",\"School\":\"Clemson\",\"Pick\":\"71\",\"Position\":\"Guard\"},{\"Rd\":\"8\",\"Player\":\"Bob Dean\",\"School\":\"Cornell\",\"Pick\":\"81\",\"Position\":\"Back\"},{\"Rd\":\"9\",\"Player\":\"Jonathan Jenkins\",\"School\":\"Dartmouth\",\"Pick\":\"91\",\"Position\":\"Tackle\"},{\"Rd\":\"10\",\"Player\":\"Roy Lester\",\"School\":\"West Virginia\",\"Pick\":\"101\",\"Position\":\"End\"},{\"Rd\":\"11\",\"Player\":\"Bobby Wilson\",\"School\":\"Mississippi\",\"Pick\":\"111\",\"Position\":\"Back\"},{\"Rd\":\"12\",\"Player\":\"Dale Armstrong\",\"School\":\"Dartmouth\",\"Pick\":\"121\",\"Position\":\"End\"},{\"Rd\":\"13\",\"Player\":\"Lyle Button\",\"School\":\"Illinois\",\"Pick\":\"131\",\"Position\":\"Tackle\"},{\"Rd\":\"14\",\"Player\":\"Bobby Lund\",\"School\":\"Tennessee\",\"Pick\":\"141\",\"Position\":\"Back\"},{\"Rd\":\"15\",\"Player\":\"Carl Copp\",\"School\":\"Vanderbilt\",\"Pick\":\"151\",\"Position\":\"Tackle\"},{\"Rd\":\"16\",\"Player\":\"Frank Reno\",\"School\":\"West Virginia\",\"Pick\":\"161\",\"Position\":\"End\"},{\"Rd\":\"17\",\"Player\":\"Leo Skladany\",\"School\":\"Pittsburgh\",\"Pick\":\"171\",\"Position\":\"End\"},{\"Rd\":\"18\",\"Player\":\"Russ Strait\",\"School\":\"Muhlenberg\",\"Pick\":\"181\",\"Position\":\"Back\"},{\"Rd\":\"19\",\"Player\":\"Paul Odom\",\"School\":\"Rollins\",\"Pick\":\"191\",\"Position\":\"Guard\"},{\"Rd\":\"20\",\"Player\":\"Lloyd Brinkman\",\"School\":\"Missouri\",\"Pick\":\"201\",\"Position\":\"Back\"},{\"Rd\":\"21\",\"Player\":\"Lou Futrell\",\"School\":\"USC\",\"Pick\":\"211\",\"Position\":\"Back\"},{\"Rd\":\"22\",\"Player\":\"Harvey Kingry\",\"School\":\"Colorado Mines\",\"Pick\":\"221\",\"Position\":\"Back\"},{\"Rd\":\"23\",\"Player\":\"Hank Kalver\",\"School\":\"Oklahoma City\",\"Pick\":\"231\",\"Position\":\"Tackle\"},{\"Rd\":\"24\",\"Player\":\"Fred Leon\",\"School\":\"Nevada-Reno\",\"Pick\":\"241\",\"Position\":\"Tackle\"},{\"Rd\":\"25\",\"Player\":\"John \\\"Bull\\\" Schweder\",\"School\":\"Pennsylvania\",\"Pick\":\"251\",\"Position\":\"Guard\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa156", + "input": { + "question": "which product was to be used longer, crest whitestrips classic or crest whitestrips 3d vivid?", + "table": "{\"headers\":[\"Model\",\"Availability\",\"Introduced\",\"Length of use\",\"Last of whiteness\"],\"rows\":[{\"Availability\":\"Discontinued\",\"Length of use\":\"14 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips Classic\\npreviously Crest Whitestrips\",\"Introduced\":\"May 2001\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"10 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips Professional\",\"Introduced\":\"2001\"},{\"Availability\":\"Dentist and online\",\"Length of use\":\"21 days\",\"Last of whiteness\":\"18 months\",\"Model\":\"Crest Whitestrips Supreme\",\"Introduced\":\"September 2003\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"7 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips Premium\",\"Introduced\":\"January 2004\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"10 days\",\"Last of whiteness\":\"18 months\",\"Model\":\"Crest Whitestrips Pro\\npreviously Crest Whitestrips Premium Plus\",\"Introduced\":\"April 2005\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"10 days\",\"Last of whiteness\":\"18 months\",\"Model\":\"Crest Whitestrips Renewal\",\"Introduced\":\"January 2006\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"Daily\",\"Last of whiteness\":\"White after using system\",\"Model\":\"Crest Whitestrips Daily Multicare\",\"Introduced\":\"March 2007\"},{\"Availability\":\"Discontinued\",\"Length of use\":\"14 days\",\"Last of whiteness\":\"18 months\",\"Model\":\"Crest Whitestrips Advanced Seal\",\"Introduced\":\"February 2009\"},{\"Availability\":\"Instore and online\",\"Length of use\":\"10 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips 3D Vivid\",\"Introduced\":\"2009\"},{\"Availability\":\"Instore and online\",\"Length of use\":\"14 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips 3D Advanced Vivid\",\"Introduced\":\"March 2010\"},{\"Availability\":\"Instore and online\",\"Length of use\":\"20 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest Whitestrips 3D Professional Effects\",\"Introduced\":\"March 2010\"},{\"Availability\":\"Instore and online\",\"Length of use\":\"2 hours\",\"Last of whiteness\":\"3 months\",\"Model\":\"Crest 3D White 2 Hour Express\",\"Introduced\":\"2010\"},{\"Availability\":\"Instore and online\",\"Length of use\":\"7 days\",\"Last of whiteness\":\"12 months\",\"Model\":\"Crest 3D Intensive Professional Effects\",\"Introduced\":\"2011\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa559", + "input": { + "question": "which show had the highest rating?", + "table": "{\"headers\":[\"#\",\"Air Date\",\"Timeslot (EST)\",\"Season\",\"Rating\",\"Share\",\"18-49 (Rating/Share)\",\"Viewers (m)\",\"Weekly Rank (#)\"],\"rows\":[{\"Air Date\":\"March 2, 2008\",\"18-49 (Rating/Share)\":\"5.3/12\",\"#\":\"1\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"15.55\",\"Rating\":\"9.4\",\"Season\":\"2007-2008\",\"Share\":\"14\",\"Weekly Rank (#)\":\"4\"},{\"Air Date\":\"March 9, 2008\",\"18-49 (Rating/Share)\":\"4.1/10\",\"#\":\"2\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"11.83\",\"Rating\":\"7.4\",\"Season\":\"2007-2008\",\"Share\":\"11\",\"Weekly Rank (#)\":\"10\"},{\"Air Date\":\"March 16, 2008\",\"18-49 (Rating/Share)\":\"3.6/9\",\"#\":\"3\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"9.71\",\"Rating\":\"6.0\",\"Season\":\"2007-2008\",\"Share\":\"9\",\"Weekly Rank (#)\":\"18\"},{\"Air Date\":\"March 23, 2008\",\"18-49 (Rating/Share)\":\"3.5/9\",\"#\":\"4\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"9.92\",\"Rating\":\"6.1\",\"Season\":\"2007-2008\",\"Share\":\"10\",\"Weekly Rank (#)\":\"19\"},{\"Air Date\":\"March 30, 2008\",\"18-49 (Rating/Share)\":\"3.9/9\",\"#\":\"5\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"11.35\",\"Rating\":\"7.1\",\"Season\":\"2007-2008\",\"Share\":\"11\",\"Weekly Rank (#)\":\"13\"},{\"Air Date\":\"April 6, 2008\",\"18-49 (Rating/Share)\":\"3.2/8\",\"#\":\"6\",\"Timeslot (EST)\":\"Sunday 9:00 P.M.\",\"Viewers (m)\":\"9.42\",\"Rating\":\"5.9\",\"Season\":\"2007-2008\",\"Share\":\"9\",\"Weekly Rank (#)\":\"27\"},{\"Air Date\":\"April 13, 2008\",\"18-49 (Rating/Share)\":\"2.9/9\",\"#\":\"7\",\"Timeslot (EST)\":\"Sunday 8:00 P.M.\",\"Viewers (m)\":\"8.88\",\"Rating\":\"5.6\",\"Season\":\"2007-2008\",\"Share\":\"9\",\"Weekly Rank (#)\":\"19\"},{\"Air Date\":\"April 20, 2008\",\"18-49 (Rating/Share)\":\"3.2/9\",\"#\":\"8\",\"Timeslot (EST)\":\"Sunday 8:00 P.M.\",\"Viewers (m)\":\"10.03\",\"Rating\":\"6.4\",\"Season\":\"2007-2008\",\"Share\":\"10\",\"Weekly Rank (#)\":\"TBA\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa418", + "input": { + "question": "how many times did his jump surpass 7.70 m?", + "table": "{\"headers\":[\"Year\",\"Competition\",\"Venue\",\"Position\",\"Notes\"],\"rows\":[{\"Competition\":\"World Junior Championships\",\"Year\":\"1996\",\"Venue\":\"Sydney, Australia\",\"Position\":\"15th (q)\",\"Notes\":\"7.43 m\"},{\"Competition\":\"Asian Junior Championships\",\"Year\":\"1996\",\"Venue\":\"New Delhi, India\",\"Position\":\"1st\",\"Notes\":\"7.68 m\"},{\"Competition\":\"World Championships\",\"Year\":\"1999\",\"Venue\":\"Seville, Spain\",\"Position\":\"6th\",\"Notes\":\"8.01 m\"},{\"Competition\":\"East Asian Games\",\"Year\":\"2001\",\"Venue\":\"Osaka, Japan\",\"Position\":\"3rd\",\"Notes\":\"7.77 m\"},{\"Competition\":\"Asian Championships\",\"Year\":\"2002\",\"Venue\":\"Colombo, Sri Lanka\",\"Position\":\"3rd\",\"Notes\":\"7.91 m (w)\"},{\"Competition\":\"Asian Games\",\"Year\":\"2002\",\"Venue\":\"Busan, South Korea\",\"Position\":\"4th\",\"Notes\":\"7.75 m\"},{\"Competition\":\"Universiade\",\"Year\":\"2003\",\"Venue\":\"Daegu, South Korea\",\"Position\":\"7th\",\"Notes\":\"7.78 m\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa115", + "input": { + "question": "what province is the town of temagami?", + "table": "{\"headers\":[\"Mine\",\"Province\",\"Coordinates\",\"Town\",\"Dates\",\"Comments\"],\"rows\":[{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, silver, copper and bismuth.\",\"Mine\":\"Barton Mine*\",\"Coordinates\":\"47\u00b007\u203208.75\u2033N 79\u00b047\u203209.58\u2033W\ufeff / \ufeff47.1190972\u00b0N 79.7859944\u00b0W\",\"Dates\":\"1906-1918\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver\",\"Mine\":\"Beanland Mine\",\"Coordinates\":\"47\u00b005\u203228.71\u2033N 79\u00b049\u203230.83\u2033W\ufeff / \ufeff47.0913083\u00b0N 79.8252306\u00b0W\",\"Dates\":\"1937-1938\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver and arsenic\",\"Mine\":\"Big Dan Mine\",\"Coordinates\":\"47\u00b005\u203228.53\u2033N 79\u00b046\u203228.95\u2033W\ufeff / \ufeff47.0912583\u00b0N 79.7747083\u00b0W\",\"Dates\":\"1906-1907\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, gold, nickel, palladium, platinum and silver.\",\"Mine\":\"Copperfields Mine*\",\"Coordinates\":\"46\u00b057\u203244.41\u2033N 80\u00b002\u203213.67\u2033W\ufeff / \ufeff46.9623361\u00b0N 80.0371306\u00b0W\",\"Dates\":\"1954-1972\",\"Province\":\"Ontario\"},{\"Town\":\"Timmins\",\"Comments\":\"\",\"Mine\":\"Dome Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Hemlo\",\"Comments\":\"\",\"Mine\":\"Golden Giant Mine\",\"Coordinates\":\"\",\"Dates\":\"1985-2006\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"\",\"Mine\":\"Hermiston-McCauley Mine\",\"Coordinates\":\"47\u00b005\u203254.30\u2033N 79\u00b049\u203238.18\u2033W\ufeff / \ufeff47.0984167\u00b0N 79.8272722\u00b0W\",\"Dates\":\"1935-1940\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, palladium, silver and platinum.\",\"Mine\":\"Kanichee Mine*\",\"Coordinates\":\"47\u00b006\u203213.07\u2033N 79\u00b050\u203238.63\u2033W\ufeff / \ufeff47.1036306\u00b0N 79.8440639\u00b0W\",\"Dates\":\"1937-1948, 1948-1949, 1973-1976\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced arsenic, copper and silver\",\"Mine\":\"Leckie Mine\",\"Coordinates\":\"47\u00b005\u203236.34\u2033N 79\u00b047\u203248.68\u2033W\ufeff / \ufeff47.0934278\u00b0N 79.7968556\u00b0W\",\"Dates\":\"~1900-1909, 1933-1937\",\"Province\":\"Ontario\"},{\"Town\":\"\",\"Comments\":\"\",\"Mine\":\"McIntyre Mines\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included lead, gold, zinc and silver.\",\"Mine\":\"Norrie Mine*\",\"Coordinates\":\"47\u00b006\u203259.59\u2033N 79\u00b046\u203227.63\u2033W\ufeff / \ufeff47.1165528\u00b0N 79.7743417\u00b0W\",\"Dates\":\"Prior to 1920\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, copper, zinc, gold and nickel.\",\"Mine\":\"Northland Pyrite Mine*\",\"Coordinates\":\"47\u00b010\u203226.24\u2033N 79\u00b044\u203234.45\u2033W\ufeff / \ufeff47.1739556\u00b0N 79.7429028\u00b0W\",\"Dates\":\"1906-1911\",\"Province\":\"Ontario\"},{\"Town\":\"Red Lake\",\"Comments\":\"\",\"Mine\":\"Red Lake Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced cobalt, arsenic, silver, nickel and copper\",\"Mine\":\"Temagami-Lorrain Mine\",\"Coordinates\":\"47\u00b006\u203239.79\u2033N 79\u00b040\u203258.2\u2033W\ufeff / \ufeff47.1110528\u00b0N 79.682833\u00b0W\",\"Dates\":\"Prior to 1912\",\"Province\":\"Ontario\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa532", + "input": { + "question": "what number of floors does the leveque tower have?", + "table": "{\"headers\":[\"Rank\",\"Name\",\"Height\\nft / m\",\"Floors\",\"Year\",\"Notes\"],\"rows\":[{\"Height\\nft / m\":\"629 / 192\",\"Year\":\"1973\",\"Rank\":\"1\",\"Floors\":\"41\",\"Notes\":\"Has been the tallest building in Columbus and the tallest mid-block skyscraper in Ohio since 1973. Tallest building constructed in Columbus in the 1970s.\",\"Name\":\"Rhodes State Office Tower\"},{\"Height\\nft / m\":\"555 / 169\",\"Year\":\"1927\",\"Rank\":\"2\",\"Floors\":\"47\",\"Notes\":\"Tallest building constructed in Columbus in the 1920s.\",\"Name\":\"LeVeque Tower\"},{\"Height\\nft / m\":\"530 / 162\",\"Year\":\"1990\",\"Rank\":\"3\",\"Floors\":\"33\",\"Notes\":\"Tallest building constructed in Columbus in the 1990s.\",\"Name\":\"William Green Building\"},{\"Height\\nft / m\":\"512 / 156\",\"Year\":\"1984\",\"Rank\":\"4\",\"Floors\":\"37\",\"Notes\":\"Tallest building constructed in Columbus in the 1980s.\",\"Name\":\"Huntington Center\"},{\"Height\\nft / m\":\"503 / 153\",\"Year\":\"1988\",\"Rank\":\"5\",\"Floors\":\"32\",\"Notes\":\"\",\"Name\":\"Vern Riffe State Office Tower\"},{\"Height\\nft / m\":\"485 / 148\",\"Year\":\"1976\",\"Rank\":\"6\",\"Floors\":\"40\",\"Notes\":\"\",\"Name\":\"One Nationwide Plaza\"},{\"Height\\nft / m\":\"464 / 141\",\"Year\":\"1991\",\"Rank\":\"7\",\"Floors\":\"27\",\"Notes\":\"\",\"Name\":\"Franklin County Courthouse\"},{\"Height\\nft / m\":\"456 / 139\",\"Year\":\"1983\",\"Rank\":\"8\",\"Floors\":\"31\",\"Notes\":\"\",\"Name\":\"AEP Building\"},{\"Height\\nft / m\":\"438 / 134\",\"Year\":\"1974\",\"Rank\":\"9\",\"Floors\":\"34\",\"Notes\":\"\",\"Name\":\"Borden Building\"},{\"Height\\nft / m\":\"408 / 124\",\"Year\":\"1989\",\"Rank\":\"10\",\"Floors\":\"27\",\"Notes\":\"\",\"Name\":\"Three Nationwide Plaza\"},{\"Height\\nft / m\":\"366 / 112\",\"Year\":\"1987\",\"Rank\":\"11\",\"Floors\":\"26\",\"Notes\":\"\",\"Name\":\"One Columbus Center\"},{\"Height\\nft / m\":\"357 / 109\",\"Year\":\"1964\",\"Rank\":\"12\",\"Floors\":\"25\",\"Notes\":\"Tallest building constructed in Columbus in the 1960s. Was built as the Bank One Tower.\",\"Name\":\"Columbus Center\"},{\"Height\\nft / m\":\"350 / 107\",\"Year\":\"1984\",\"Rank\":\"13\",\"Floors\":\"26\",\"Notes\":\"\",\"Name\":\"Capitol Square\"},{\"Height\\nft / m\":\"348 / 106\",\"Year\":\"1973\",\"Rank\":\"14\",\"Floors\":\"26\",\"Notes\":\"\",\"Name\":\"Continental Center\"},{\"Height\\nft / m\":\"317 / 97\",\"Year\":\"1977\",\"Rank\":\"15\",\"Floors\":\"25\",\"Notes\":\"\",\"Name\":\"PNC Bank Building\"},{\"Height\\nft / m\":\"314 / 96\",\"Year\":\"2001\",\"Rank\":\"16\",\"Floors\":\"26\",\"Notes\":\"Tallest residential building in the state of Ohio. Tallest building built in the 2000s.\",\"Name\":\"Miranova Condominiums\"},{\"Height\\nft / m\":\"302 / 92\",\"Year\":\"1998\",\"Rank\":\"17\",\"Floors\":\"25\",\"Notes\":\"\",\"Name\":\"Fifth Third Center\"},{\"Height\\nft / m\":\"286 / 87\",\"Year\":\"1973\",\"Rank\":\"18\",\"Floors\":\"21\",\"Notes\":\"\",\"Name\":\"Motorists Mutual Building\"},{\"Height\\nft / m\":\"280 / 85\",\"Year\":\"1970\",\"Rank\":\"19\",\"Floors\":\"21\",\"Notes\":\"\",\"Name\":\"Midland Building\"},{\"Height\\nft / m\":\"267 / 81\",\"Year\":\"2007\",\"Rank\":\"20\",\"Floors\":\"20\",\"Notes\":\"\",\"Name\":\"The Condominiums at North Bank Park\"},{\"Height\\nft / m\":\"260 / 79\",\"Year\":\"1967\",\"Rank\":\"21\\u003d\",\"Floors\":\"26\",\"Notes\":\"\",\"Name\":\"Lincoln Tower Dormitory\"},{\"Height\\nft / m\":\"260 / 79\",\"Year\":\"1967\",\"Rank\":\"21\\u003d\",\"Floors\":\"26\",\"Notes\":\"\",\"Name\":\"Morrill Tower Dormitory\"},{\"Height\\nft / m\":\"256 / 78\",\"Year\":\"1980\",\"Rank\":\"23\",\"Floors\":\"20\",\"Notes\":\"\",\"Name\":\"Hyatt Regency Columbus\"},{\"Height\\nft / m\":\"253 / 77\",\"Year\":\"1963\",\"Rank\":\"24\",\"Floors\":\"20\",\"Notes\":\"\",\"Name\":\"Key Bank Building\"},{\"Height\\nft / m\":\"243 / 74\",\"Year\":\"1961\",\"Rank\":\"25\",\"Floors\":\"16\",\"Notes\":\"\",\"Name\":\"Adam\\u0027s Mark Hotel\"},{\"Height\\nft / m\":\"226 / 69\",\"Year\":\"1974\",\"Rank\":\"26\",\"Floors\":\"17\",\"Notes\":\"\",\"Name\":\"Town Center\"},{\"Height\\nft / m\":\"212 / 64.6\",\"Year\":\"1906\",\"Rank\":\"27\",\"Floors\":\"17\",\"Notes\":\"\",\"Name\":\"8 East Broad Street\"},{\"Height\\nft / m\":\"202 / 59.4\",\"Year\":\"1926\",\"Rank\":\"28\",\"Floors\":\"13\",\"Notes\":\"\",\"Name\":\"Huntington Building\"},{\"Height\\nft / m\":\"200 / 57.9\",\"Year\":\"1933\",\"Rank\":\"29\",\"Floors\":\"14\",\"Notes\":\"\",\"Name\":\"Ohio Judicial Center\"},{\"Height\\nft / m\":\"180 / 64.4\",\"Year\":\"1900\",\"Rank\":\"30\",\"Floors\":\"13\",\"Notes\":\"\",\"Name\":\"16 East Broad Street\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa522", + "input": { + "question": "what is the number of years with a quantity of 10?", + "table": "{\"headers\":[\"Year\",\"Order\",\"Quantity\",\"GER Nos.\"],\"rows\":[{\"Order\":\"N31\",\"Year\":\"1893\",\"Quantity\":\"1\",\"GER Nos.\":\"999\"},{\"Order\":\"H33\",\"Year\":\"1893\",\"Quantity\":\"10\",\"GER Nos.\":\"979\u2013988\"},{\"Order\":\"L33\",\"Year\":\"1894\",\"Quantity\":\"10\",\"GER Nos.\":\"989\u2013998\"},{\"Order\":\"E34\",\"Year\":\"1894\",\"Quantity\":\"10\",\"GER Nos.\":\"969\u2013978\"},{\"Order\":\"N37\",\"Year\":\"1896\",\"Quantity\":\"10\",\"GER Nos.\":\"959\u2013968\"},{\"Order\":\"H40\",\"Year\":\"1897\",\"Quantity\":\"10\",\"GER Nos.\":\"949\u2013958\"},{\"Order\":\"O41\",\"Year\":\"1897\",\"Quantity\":\"10\",\"GER Nos.\":\"602\u2013608, 946\u2013948\"},{\"Order\":\"G42\",\"Year\":\"1898\",\"Quantity\":\"10\",\"GER Nos.\":\"542\u2013551\"},{\"Order\":\"K43\",\"Year\":\"1898\",\"Quantity\":\"10\",\"GER Nos.\":\"562\u2013571\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa171", + "input": { + "question": "what is the number of russian participants in this set of semifinals?", + "table": "{\"headers\":[\"Rank\",\"Athlete\",\"Nationality\",\"Time\"],\"rows\":[{\"Rank\":\"\",\"Time\":\"2:00.06\",\"Athlete\":\"Liliana Barbulescu\",\"Nationality\":\"Romania\"},{\"Rank\":\"\",\"Time\":\"2:00.11\",\"Athlete\":\"Anna Zag\u00f3rska\",\"Nationality\":\"Poland\"},{\"Rank\":\"\",\"Time\":\"2:00.77\",\"Athlete\":\"Irina Vashentseva\",\"Nationality\":\"Russia\"},{\"Rank\":\"4\",\"Time\":\"2:01.39\",\"Athlete\":\"Laura Gerber\",\"Nationality\":\"Switzerland\"},{\"Rank\":\"5\",\"Time\":\"2:01.53\",\"Athlete\":\"Christiane dos Santos\",\"Nationality\":\"Brazil\"},{\"Rank\":\"6\",\"Time\":\"2:01.86\",\"Athlete\":\"Tamara Volkova\",\"Nationality\":\"Ukraine\"},{\"Rank\":\"7\",\"Time\":\"2:02.64\",\"Athlete\":\"Tatyana Yegorova\",\"Nationality\":\"Russia\"},{\"Rank\":\"8\",\"Time\":\"2:03.01\",\"Athlete\":\"Sandra Teixeira\",\"Nationality\":\"Portugal\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa530", + "input": { + "question": "what is the component before usb?", + "table": "{\"headers\":[\"Component\",\"Model 01\",\"Model 01+\",\"Model 02\",\"Model e2\",\"Model 2+ (Pre-production)\",\"model 03 (China Copy)\"],\"rows\":[{\"Model 01+\":\"Transmeta Crusoe 1 GHz\",\"Model e2\":\"Via C7M ULV 1.6 GHz\",\"Model 2+ (Pre-production)\":\"Intel Atom Z540 1.86 GHz\",\"Model 02\":\"Via C7M ULV 1.6 GHz\",\"model 03 (China Copy)\":\"Intel atom Z550 1.2 GHz dual core\",\"Model 01\":\"Transmeta Crusoe 1 GHz\",\"Component\":\"CPU\"},{\"Model 01+\":\"512MB DDR\",\"Model e2\":\"1GB DDR2\",\"Model 2+ (Pre-production)\":\"2GB DDR2\",\"Model 02\":\"1GB DDR2\",\"model 03 (China Copy)\":\"2GB DDR2\",\"Model 01\":\"256MB DDR\",\"Component\":\"RAM\"},{\"Model 01+\":\"30GB HDD\",\"Model e2\":\"120GB HDD or 64GB SSD\",\"Model 2+ (Pre-production)\":\"120GB HDD or 64GB SSD\",\"Model 02\":\"120GB HDD or 64GB SSD\",\"model 03 (China Copy)\":\"120GB HDD or 64GB SSD\",\"Model 01\":\"20GB HDD\",\"Component\":\"Hard Drive\"},{\"Model 01+\":\"5\\\" Transflective 800x480 LCD\",\"Model e2\":\"5\\\" 800x480 LCD\",\"Model 2+ (Pre-production)\":\"5\\\" active matrix 800x480 OLED\",\"Model 02\":\"5\\\" 800x480 LCD\",\"model 03 (China Copy)\":\"4.8\\\" active matrix 1024X600 OLED\",\"Model 01\":\"5\\\" Transflective 800x480 LCD\",\"Component\":\"Display\"},{\"Model 01+\":\"2.0\",\"Model e2\":\"2.0\",\"Model 2+ (Pre-production)\":\"2.0\",\"Model 02\":\"2.0\",\"model 03 (China Copy)\":\"2.0\",\"Model 01\":\"1.1\",\"Component\":\"USB\"},{\"Model 01+\":\"802.11b\",\"Model e2\":\"802.11a/b/g\",\"Model 2+ (Pre-production)\":\"802.11a/b/g\",\"Model 02\":\"802.11a/b/g\",\"model 03 (China Copy)\":\"802.11a/b/g/n\",\"Model 01\":\"802.11b\",\"Component\":\"Wi-Fi\"},{\"Model 01+\":\"n/a\",\"Model e2\":\"HSDPA\",\"Model 2+ (Pre-production)\":\"EV-DO and HSPA\",\"Model 02\":\"EVDO from Sprint or Verizon\",\"model 03 (China Copy)\":\"HSDPA 3G\",\"Model 01\":\"n/a\",\"Component\":\"WWAN\"},{\"Model 01+\":\"1.1\",\"Model e2\":\"2.0\",\"Model 2+ (Pre-production)\":\"2.0\",\"Model 02\":\"2.0\",\"model 03 (China Copy)\":\"2.1\",\"Model 01\":\"1.1\",\"Component\":\"Bluetooth\"},{\"Model 01+\":\"Yes (Improved accuracy)\",\"Model e2\":\"Yes\",\"Model 2+ (Pre-production)\":\"Yes\",\"Model 02\":\"Yes\",\"model 03 (China Copy)\":\"unknown\",\"Model 01\":\"Yes\",\"Component\":\"Wacom\"},{\"Model 01+\":\"Silicon motion Lynx 3DM+\",\"Model e2\":\"VIA VX700\",\"Model 2+ (Pre-production)\":\"Intel GMA500\",\"Model 02\":\"VIA VX700\",\"model 03 (China Copy)\":\"Intel GMA500\",\"Model 01\":\"Silicon motion Lynx 3DM+\",\"Component\":\"GPU\"},{\"Model 01+\":\"4,000 mAh or 8,000 mAh\",\"Model e2\":\"4,500 mAh or 9,000 mAh\",\"Model 2+ (Pre-production)\":\"4,500 mAh or 9,000 mAh\",\"Model 02\":\"4,500 mAh or 9,000 mAh\",\"model 03 (China Copy)\":\"4,500 mAh or 9,000 mAh\",\"Model 01\":\"4,000 mAh or 8,000 mAh\",\"Component\":\"Removable Battery\"},{\"Model 01+\":\"Lithium Polymer\",\"Model e2\":\"lithium ion polymer\",\"Model 2+ (Pre-production)\":\"lithium ion polymer\",\"Model 02\":\"lithium ion polymer\",\"model 03 (China Copy)\":\"unknown\",\"Model 01\":\"lithium polymer\",\"Component\":\"Battery Type\"},{\"Model 01+\":\"USB 2.0\",\"Model e2\":\"replaced by dongle or dock\",\"Model 2+ (Pre-production)\":\"replaced by dongle or dock\",\"Model 02\":\"replaced by dongle or dock\",\"model 03 (China Copy)\":\"replaced by dongle or dock\",\"Model 01\":\"USB 1.1\",\"Component\":\"Docking Cable\"},{\"Model 01+\":\"Zinc stand\",\"Model e2\":\"Gloss Black w/ optical drive\",\"Model 2+ (Pre-production)\":\"Gloss Black w/ optical drive\",\"Model 02\":\"Gloss Black w/ optical drive\",\"model 03 (China Copy)\":\"Gloss Black w/ optical drive\",\"Model 01\":\"Zinc stand\",\"Component\":\"Dock\"},{\"Model 01+\":\"100BaseT\",\"Model e2\":\"100BaseT\",\"Model 2+ (Pre-production)\":\"100BaseT\",\"Model 02\":\"100BaseT\",\"model 03 (China Copy)\":\"100BaseT\",\"Model 01\":\"10BaseT\",\"Component\":\"Ethernet\"},{\"Model 01+\":\"\",\"Model e2\":\"RJ45 \\u0026 VGA\",\"Model 2+ (Pre-production)\":\"unknown\",\"Model 02\":\"RJ45 \\u0026 VGA\",\"model 03 (China Copy)\":\"unknown\",\"Model 01\":\"\",\"Component\":\"Dongle\"},{\"Model 01+\":\"57 key\",\"Model e2\":\"58 key\",\"Model 2+ (Pre-production)\":\"58 key\",\"Model 02\":\"58 key\",\"model 03 (China Copy)\":\"58 key\",\"Model 01\":\"57 key\",\"Component\":\"Keyboard\"},{\"Model 01+\":\"397g\",\"Model e2\":\"413g*\",\"Model 2+ (Pre-production)\":\"413g*\",\"Model 02\":\"413g*\",\"model 03 (China Copy)\":\"426g*\",\"Model 01\":\"397g\",\"Component\":\"Weight\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa432", + "input": { + "question": "how long is the list of countries that won any medals?", + "table": "{\"headers\":[\"Rank\",\"Nation\",\"Gold\",\"Silver\",\"Bronze\",\"Total\"],\"rows\":[{\"Nation\":\"Nigeria\",\"Bronze\":\"9\",\"Gold\":\"14\",\"Silver\":\"12\",\"Total\":\"35\",\"Rank\":\"1\"},{\"Nation\":\"Algeria\",\"Bronze\":\"4\",\"Gold\":\"9\",\"Silver\":\"4\",\"Total\":\"17\",\"Rank\":\"2\"},{\"Nation\":\"Kenya\",\"Bronze\":\"4\",\"Gold\":\"8\",\"Silver\":\"11\",\"Total\":\"23\",\"Rank\":\"3\"},{\"Nation\":\"Ethiopia\",\"Bronze\":\"7\",\"Gold\":\"2\",\"Silver\":\"4\",\"Total\":\"13\",\"Rank\":\"4\"},{\"Nation\":\"Ghana\",\"Bronze\":\"2\",\"Gold\":\"2\",\"Silver\":\"2\",\"Total\":\"6\",\"Rank\":\"5\"},{\"Nation\":\"Ivory Coast\",\"Bronze\":\"3\",\"Gold\":\"2\",\"Silver\":\"1\",\"Total\":\"6\",\"Rank\":\"6\"},{\"Nation\":\"Egypt\",\"Bronze\":\"0\",\"Gold\":\"2\",\"Silver\":\"1\",\"Total\":\"3\",\"Rank\":\"7\"},{\"Nation\":\"Senegal\",\"Bronze\":\"5\",\"Gold\":\"1\",\"Silver\":\"1\",\"Total\":\"7\",\"Rank\":\"8\"},{\"Nation\":\"Morocco\",\"Bronze\":\"1\",\"Gold\":\"1\",\"Silver\":\"1\",\"Total\":\"3\",\"Rank\":\"9\"},{\"Nation\":\"Tunisia\",\"Bronze\":\"1\",\"Gold\":\"0\",\"Silver\":\"3\",\"Total\":\"4\",\"Rank\":\"10\"},{\"Nation\":\"Madagascar\",\"Bronze\":\"1\",\"Gold\":\"0\",\"Silver\":\"1\",\"Total\":\"2\",\"Rank\":\"11\"},{\"Nation\":\"Rwanda\",\"Bronze\":\"1\",\"Gold\":\"0\",\"Silver\":\"0\",\"Total\":\"1\",\"Rank\":\"12\"},{\"Nation\":\"Zimbabwe\",\"Bronze\":\"1\",\"Gold\":\"0\",\"Silver\":\"0\",\"Total\":\"1\",\"Rank\":\"12\"},{\"Nation\":\"Seychelles\",\"Bronze\":\"1\",\"Gold\":\"0\",\"Silver\":\"0\",\"Total\":\"1\",\"Rank\":\"12\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa585", + "input": { + "question": "what was the finishing place of the last race in december 2010?", + "table": "{\"headers\":[\"Season\",\"Date\",\"Location\",\"Discipline\",\"Place\"],\"rows\":[{\"Season\":\"2007\",\"Discipline\":\"Giant Slalom\",\"Date\":\"18 Mar 2007\",\"Place\":\"2nd\",\"Location\":\"Lenzerheide, Switzerland\"},{\"Season\":\"2009\",\"Discipline\":\"Giant Slalom\",\"Date\":\"10 Jan 2009\",\"Place\":\"3rd\",\"Location\":\"Maribor, Slovenia\"},{\"Season\":\"2010\",\"Discipline\":\"Giant Slalom\",\"Date\":\"28 Nov 2009\",\"Place\":\"1st\",\"Location\":\"Aspen, USA\"},{\"Season\":\"2010\",\"Discipline\":\"Giant Slalom\",\"Date\":\"28 Dec 2009\",\"Place\":\"1st\",\"Location\":\"Lienz, Austria\"},{\"Season\":\"2010\",\"Discipline\":\"Giant Slalom\",\"Date\":\"24 Jan 2010\",\"Place\":\"3rd\",\"Location\":\"Cortina d\\u0027Ampezzo, Italy\"},{\"Season\":\"2010\",\"Discipline\":\"Giant Slalom\",\"Date\":\"11 Mar 2010\",\"Place\":\"2nd\",\"Location\":\"Garmisch, Germany\"},{\"Season\":\"2011\",\"Discipline\":\"Giant Slalom\",\"Date\":\"23 Oct 2010\",\"Place\":\"2nd\",\"Location\":\"S\u00f6lden, Austria\"},{\"Season\":\"2011\",\"Discipline\":\"Giant Slalom\",\"Date\":\"27 Nov 2010\",\"Place\":\"3rd\",\"Location\":\"Aspen, USA\"},{\"Season\":\"2011\",\"Discipline\":\"Giant Slalom\",\"Date\":\"28 Dec 2010\",\"Place\":\"3rd\",\"Location\":\"Semmering, Austria\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa153", + "input": { + "question": "how many tracks on trae's album \"life goes on\"?", + "table": "{\"headers\":[\"#\",\"Title\",\"Producers\",\"Guest Performers\",\"Length\"],\"rows\":[{\"Producers\":\"Maj \\u0026 Sosa\",\"#\":\"1.\",\"Length\":\"3:11\",\"Title\":\"\\\"Throw Aways\\\"\",\"Guest Performers\":\"Gorilla Zoe \\u0026 Yung Joc\"},{\"Producers\":\"Drew\",\"#\":\"2.\",\"Length\":\"4:16\",\"Title\":\"\\\"I\\u0027m A Gangsta\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"\",\"#\":\"3.\",\"Length\":\"0:58\",\"Title\":\"\\\"Life Goes On Interlude #1\",\"Guest Performers\":\"Lil\\u0027 Duval\"},{\"Producers\":\"Mr. Lee\",\"#\":\"4.\",\"Length\":\"5:02\",\"Title\":\"\\\"Screwed Up\\\"\",\"Guest Performers\":\"Lil\\u0027 Wayne\"},{\"Producers\":\"Q-Stone\",\"#\":\"5.\",\"Length\":\"4:22\",\"Title\":\"\\\"Against All Odds\\\"\",\"Guest Performers\":\"2Pac\"},{\"Producers\":\"\",\"#\":\"6.\",\"Length\":\"1:12\",\"Title\":\"\\\"Life Goes On Interlude #2\",\"Guest Performers\":\"Lil\\u0027 Duval\"},{\"Producers\":\"I.N.F.O. \\u0026 NOVA\",\"#\":\"7.\",\"Length\":\"3:59\",\"Title\":\"\\\"Nuthin\\u0027 2 A Boss\\\"\",\"Guest Performers\":\"Slim Thug\"},{\"Producers\":\"Goichi \\u0026 Mike Dean\",\"#\":\"8.\",\"Length\":\"4:11\",\"Title\":\"\\\"Life Goes On\\\"\",\"Guest Performers\":\"L. Boogie\"},{\"Producers\":\"Sean T\",\"#\":\"9.\",\"Length\":\"4:32\",\"Title\":\"\\\"Smile\\\"\",\"Guest Performers\":\"Jadakiss \\u0026 Styles P\"},{\"Producers\":\"\",\"#\":\"10.\",\"Length\":\"1:12\",\"Title\":\"\\\"Life Goes On Interlude #3\",\"Guest Performers\":\"Lil\\u0027 Duval\"},{\"Producers\":\"Mike Dean\",\"#\":\"11.\",\"Length\":\"1:40\",\"Title\":\"\\\"Give My Last Breathe Intro\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"Mr. Lee\",\"#\":\"12.\",\"Length\":\"4:23\",\"Title\":\"\\\"Give My Last Breathe\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"Mr. Rogers\",\"#\":\"13.\",\"Length\":\"4:06\",\"Title\":\"\\\"Gittin\\u0027 High\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"\",\"#\":\"14.\",\"Length\":\"1:00\",\"Title\":\"\\\"Life Goes On Interlude #4\",\"Guest Performers\":\"Lil\\u0027 Duval\"},{\"Producers\":\"I.N.F.O. \\u0026 NOVA\",\"#\":\"15.\",\"Length\":\"5:00\",\"Title\":\"\\\"Ghetto Queen\\\"\",\"Guest Performers\":\"Lloyd \\u0026 Rich Boy\"},{\"Producers\":\"Platinum Hands\",\"#\":\"16.\",\"Length\":\"4:43\",\"Title\":\"\\\"Million Bucks\\\"\",\"Guest Performers\":\"Jay\\u0027Ton \\u0026 Lil\\u0027 Boss\"},{\"Producers\":\"Nitti\",\"#\":\"17.\",\"Length\":\"4:51\",\"Title\":\"\\\"C Me Ride\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"I.N.F.O. \\u0026 NOVA\",\"#\":\"18.\",\"Length\":\"4:21\",\"Title\":\"\\\"I\\u0027m Good\\\"\",\"Guest Performers\":\"Jody Breeze\"},{\"Producers\":\"I.N.F.O. \\u0026 NOVA\",\"#\":\"19.\",\"Length\":\"4:07\",\"Title\":\"\\\"The Truth\\\"\",\"Guest Performers\":\"\"},{\"Producers\":\"\",\"#\":\"20.\",\"Length\":\"0:38\",\"Title\":\"\\\"Life Goes On\\\" (Outro)\",\"Guest Performers\":\"Lil\\u0027 Duval\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa306", + "input": { + "question": "which mine was open longer, golden giant or beanland mine?", + "table": "{\"headers\":[\"Mine\",\"Province\",\"Coordinates\",\"Town\",\"Dates\",\"Comments\"],\"rows\":[{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, silver, copper and bismuth.\",\"Mine\":\"Barton Mine*\",\"Coordinates\":\"47\u00b007\u203208.75\u2033N 79\u00b047\u203209.58\u2033W\ufeff / \ufeff47.1190972\u00b0N 79.7859944\u00b0W\",\"Dates\":\"1906-1918\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver\",\"Mine\":\"Beanland Mine\",\"Coordinates\":\"47\u00b005\u203228.71\u2033N 79\u00b049\u203230.83\u2033W\ufeff / \ufeff47.0913083\u00b0N 79.8252306\u00b0W\",\"Dates\":\"1937-1938\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver and arsenic\",\"Mine\":\"Big Dan Mine\",\"Coordinates\":\"47\u00b005\u203228.53\u2033N 79\u00b046\u203228.95\u2033W\ufeff / \ufeff47.0912583\u00b0N 79.7747083\u00b0W\",\"Dates\":\"1906-1907\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, gold, nickel, palladium, platinum and silver.\",\"Mine\":\"Copperfields Mine*\",\"Coordinates\":\"46\u00b057\u203244.41\u2033N 80\u00b002\u203213.67\u2033W\ufeff / \ufeff46.9623361\u00b0N 80.0371306\u00b0W\",\"Dates\":\"1954-1972\",\"Province\":\"Ontario\"},{\"Town\":\"Timmins\",\"Comments\":\"\",\"Mine\":\"Dome Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Hemlo\",\"Comments\":\"\",\"Mine\":\"Golden Giant Mine\",\"Coordinates\":\"\",\"Dates\":\"1985-2006\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"\",\"Mine\":\"Hermiston-McCauley Mine\",\"Coordinates\":\"47\u00b005\u203254.30\u2033N 79\u00b049\u203238.18\u2033W\ufeff / \ufeff47.0984167\u00b0N 79.8272722\u00b0W\",\"Dates\":\"1935-1940\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, palladium, silver and platinum.\",\"Mine\":\"Kanichee Mine*\",\"Coordinates\":\"47\u00b006\u203213.07\u2033N 79\u00b050\u203238.63\u2033W\ufeff / \ufeff47.1036306\u00b0N 79.8440639\u00b0W\",\"Dates\":\"1937-1948, 1948-1949, 1973-1976\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced arsenic, copper and silver\",\"Mine\":\"Leckie Mine\",\"Coordinates\":\"47\u00b005\u203236.34\u2033N 79\u00b047\u203248.68\u2033W\ufeff / \ufeff47.0934278\u00b0N 79.7968556\u00b0W\",\"Dates\":\"~1900-1909, 1933-1937\",\"Province\":\"Ontario\"},{\"Town\":\"\",\"Comments\":\"\",\"Mine\":\"McIntyre Mines\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included lead, gold, zinc and silver.\",\"Mine\":\"Norrie Mine*\",\"Coordinates\":\"47\u00b006\u203259.59\u2033N 79\u00b046\u203227.63\u2033W\ufeff / \ufeff47.1165528\u00b0N 79.7743417\u00b0W\",\"Dates\":\"Prior to 1920\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, copper, zinc, gold and nickel.\",\"Mine\":\"Northland Pyrite Mine*\",\"Coordinates\":\"47\u00b010\u203226.24\u2033N 79\u00b044\u203234.45\u2033W\ufeff / \ufeff47.1739556\u00b0N 79.7429028\u00b0W\",\"Dates\":\"1906-1911\",\"Province\":\"Ontario\"},{\"Town\":\"Red Lake\",\"Comments\":\"\",\"Mine\":\"Red Lake Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced cobalt, arsenic, silver, nickel and copper\",\"Mine\":\"Temagami-Lorrain Mine\",\"Coordinates\":\"47\u00b006\u203239.79\u2033N 79\u00b040\u203258.2\u2033W\ufeff / \ufeff47.1110528\u00b0N 79.682833\u00b0W\",\"Dates\":\"Prior to 1912\",\"Province\":\"Ontario\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa586", + "input": { + "question": "tell me the number of mines that also produced arsenic.", + "table": "{\"headers\":[\"Mine\",\"Province\",\"Coordinates\",\"Town\",\"Dates\",\"Comments\"],\"rows\":[{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, silver, copper and bismuth.\",\"Mine\":\"Barton Mine*\",\"Coordinates\":\"47\u00b007\u203208.75\u2033N 79\u00b047\u203209.58\u2033W\ufeff / \ufeff47.1190972\u00b0N 79.7859944\u00b0W\",\"Dates\":\"1906-1918\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver\",\"Mine\":\"Beanland Mine\",\"Coordinates\":\"47\u00b005\u203228.71\u2033N 79\u00b049\u203230.83\u2033W\ufeff / \ufeff47.0913083\u00b0N 79.8252306\u00b0W\",\"Dates\":\"1937-1938\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced silver and arsenic\",\"Mine\":\"Big Dan Mine\",\"Coordinates\":\"47\u00b005\u203228.53\u2033N 79\u00b046\u203228.95\u2033W\ufeff / \ufeff47.0912583\u00b0N 79.7747083\u00b0W\",\"Dates\":\"1906-1907\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, gold, nickel, palladium, platinum and silver.\",\"Mine\":\"Copperfields Mine*\",\"Coordinates\":\"46\u00b057\u203244.41\u2033N 80\u00b002\u203213.67\u2033W\ufeff / \ufeff46.9623361\u00b0N 80.0371306\u00b0W\",\"Dates\":\"1954-1972\",\"Province\":\"Ontario\"},{\"Town\":\"Timmins\",\"Comments\":\"\",\"Mine\":\"Dome Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Hemlo\",\"Comments\":\"\",\"Mine\":\"Golden Giant Mine\",\"Coordinates\":\"\",\"Dates\":\"1985-2006\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"\",\"Mine\":\"Hermiston-McCauley Mine\",\"Coordinates\":\"47\u00b005\u203254.30\u2033N 79\u00b049\u203238.18\u2033W\ufeff / \ufeff47.0984167\u00b0N 79.8272722\u00b0W\",\"Dates\":\"1935-1940\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included gold, palladium, silver and platinum.\",\"Mine\":\"Kanichee Mine*\",\"Coordinates\":\"47\u00b006\u203213.07\u2033N 79\u00b050\u203238.63\u2033W\ufeff / \ufeff47.1036306\u00b0N 79.8440639\u00b0W\",\"Dates\":\"1937-1948, 1948-1949, 1973-1976\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced arsenic, copper and silver\",\"Mine\":\"Leckie Mine\",\"Coordinates\":\"47\u00b005\u203236.34\u2033N 79\u00b047\u203248.68\u2033W\ufeff / \ufeff47.0934278\u00b0N 79.7968556\u00b0W\",\"Dates\":\"~1900-1909, 1933-1937\",\"Province\":\"Ontario\"},{\"Town\":\"\",\"Comments\":\"\",\"Mine\":\"McIntyre Mines\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included lead, gold, zinc and silver.\",\"Mine\":\"Norrie Mine*\",\"Coordinates\":\"47\u00b006\u203259.59\u2033N 79\u00b046\u203227.63\u2033W\ufeff / \ufeff47.1165528\u00b0N 79.7743417\u00b0W\",\"Dates\":\"Prior to 1920\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Secondary products included cobalt, copper, zinc, gold and nickel.\",\"Mine\":\"Northland Pyrite Mine*\",\"Coordinates\":\"47\u00b010\u203226.24\u2033N 79\u00b044\u203234.45\u2033W\ufeff / \ufeff47.1739556\u00b0N 79.7429028\u00b0W\",\"Dates\":\"1906-1911\",\"Province\":\"Ontario\"},{\"Town\":\"Red Lake\",\"Comments\":\"\",\"Mine\":\"Red Lake Mine\",\"Coordinates\":\"\",\"Dates\":\"\",\"Province\":\"Ontario\"},{\"Town\":\"Temagami\",\"Comments\":\"Also produced cobalt, arsenic, silver, nickel and copper\",\"Mine\":\"Temagami-Lorrain Mine\",\"Coordinates\":\"47\u00b006\u203239.79\u2033N 79\u00b040\u203258.2\u2033W\ufeff / \ufeff47.1110528\u00b0N 79.682833\u00b0W\",\"Dates\":\"Prior to 1912\",\"Province\":\"Ontario\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa261", + "input": { + "question": "how do you say 'do you speak afrikaans?' in afrikaans?", + "table": "{\"headers\":[\"Afrikaans\",\"IPA\",\"Dutch\",\"English\",\"German\"],\"rows\":[{\"English\":\"Hello! How is it going? (Hello! How are you?)\",\"Afrikaans\":\"Hallo! Hoe gaan dit?\",\"German\":\"Hallo! Wie geht\\u0027s? (Hallo! Wie geht\\u0027s dir/Ihnen?)\",\"IPA\":\"[\u0266al\u0259u \u0266u xa\u02d1n d\u0259t]\",\"Dutch\":\"Hallo! Hoe gaat het (met je/jou/u)?\\nAlso used: Hallo! Hoe is het?\"},{\"English\":\"Very well, thank you.\",\"Afrikaans\":\"Baie goed, dankie.\",\"German\":\"Sehr gut, danke.\",\"IPA\":\"[baj\u0259 xu\u02d1t da\u014bki]\",\"Dutch\":\"Heel goed, dank je.\"},{\"English\":\"Do you speak Afrikaans?\",\"Afrikaans\":\"Praat jy Afrikaans?\",\"German\":\"Sprichst du Afrikaans?\",\"IPA\":\"[pr\u0251\u02d1t j\u0259i afrik\u0251\u0303\u02d1s]\",\"Dutch\":\"Spreek/Praat je/jij Afrikaans?\"},{\"English\":\"Do you speak English?\",\"Afrikaans\":\"Praat jy Engels?\",\"German\":\"Sprichst du Englisch?\",\"IPA\":\"[pr\u0251\u02d1t j\u0259i \u025b\u014b\u0259ls]\",\"Dutch\":\"Spreek/Praat je/jij Engels?\"},{\"English\":\"Yes.\",\"Afrikaans\":\"Ja.\",\"German\":\"Ja.\",\"IPA\":\"[j\u0251\u02d1]\",\"Dutch\":\"Ja.\"},{\"English\":\"No.\",\"Afrikaans\":\"Nee.\",\"German\":\"Nein.\",\"IPA\":\"[ne\u02d1\u0259]\",\"Dutch\":\"Nee.\"},{\"English\":\"A bit.\",\"Afrikaans\":\"\\u0027n Bietjie.\",\"German\":\"Ein bisschen.\",\"IPA\":\"[\u0259 biki]\",\"Dutch\":\"Een beetje.\"},{\"English\":\"What is your name?\",\"Afrikaans\":\"Wat is jou naam?\",\"German\":\"Wie hei\u00dft du? / Wie ist dein Name?\",\"IPA\":\"[vat \u0259s j\u0259u n\u0251\u02d1m]\",\"Dutch\":\"Hoe heet je? / Wat is jouw naam?\"},{\"English\":\"The children speak Afrikaans.\",\"Afrikaans\":\"Die kinders praat Afrikaans.\",\"German\":\"Die Kinder sprechen Afrikaans.\",\"IPA\":\"[di k\u0259n\u0259rs pr\u0251\u02d1t afrik\u0251\u0303\u02d1ns]\",\"Dutch\":\"De kinderen spreken/praten Afrikaans.\"},{\"English\":\"I love you.\",\"Afrikaans\":\"Ek is lief vir jou.\\nLess common: Ek het jou lief.\",\"German\":\"Ich liebe dich.\\nAlso: Ich habe dich lieb. (Colloquial; virtually no romantic connotation)\",\"IPA\":\"[\u00e6k \u0259s lif v\u026fr j\u0259\u028a]\",\"Dutch\":\"Ik hou van je/jou.\\nCommon in Southern Dutch: Ik heb je/jou/u lief.\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa61", + "input": { + "question": "true or false. the television show \"the two ronnies\" featured more than 10 episodes in a season.", + "table": "{\"headers\":[\"DVD Title\",\"Discs\",\"Year\",\"No. of Ep.\",\"DVD release\\nRegion 2\",\"DVD release\\nRegion 4\"],\"rows\":[{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"30 April 2007\",\"Year\":\"1971\",\"DVD Title\":\"Complete Series 1\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"4 July 2007\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"2 July 2007\",\"Year\":\"1972\",\"DVD Title\":\"Complete Series 2\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"8 May 2008\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"17 March 2008\",\"Year\":\"1973\u20131974\",\"DVD Title\":\"Complete Series 3\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"5 March 2009\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"19 May 2008\",\"Year\":\"1975\",\"DVD Title\":\"Complete Series 4\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"6 August 2009\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"15 June 2009\",\"Year\":\"1976\",\"DVD Title\":\"Complete Series 5\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"4 March 2010\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"22 February 2010\",\"Year\":\"1977\u20131978\",\"DVD Title\":\"Complete Series 6\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"5 August 2010\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"17 May 2010\",\"Year\":\"1978\u20131979\",\"DVD Title\":\"Complete Series 7\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"3 March 2011\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"6 September 2010\",\"Year\":\"1980\",\"DVD Title\":\"Complete Series 8\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"2 June 2011\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"28 February 2011.\",\"Year\":\"1981\u20131982\",\"DVD Title\":\"Complete Series 9\",\"No. of Ep.\":\"8\",\"DVD release\\nRegion 4\":\"1 March 2012\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"9 May 2011.\",\"Year\":\"1983\u20131984\",\"DVD Title\":\"Complete Series 10\",\"No. of Ep.\":\"6\",\"DVD release\\nRegion 4\":\"5 September 2012\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"25 July 2011.\",\"Year\":\"1985\",\"DVD Title\":\"Complete Series 11\",\"No. of Ep.\":\"5\",\"DVD release\\nRegion 4\":\"3 April 2013\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"26 September 2011.\",\"Year\":\"1985\u20131986\",\"DVD Title\":\"Complete Series 12\",\"No. of Ep.\":\"6\",\"DVD release\\nRegion 4\":\"7 August 2013\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"29 October 2007.\",\"Year\":\"1973\u20131982-1984-1987\",\"DVD Title\":\"The Christmas Specials\",\"No. of Ep.\":\"4\",\"DVD release\\nRegion 4\":\"6 November 2008\"},{\"Discs\":\"27\",\"DVD release\\nRegion 2\":\"24 September 2012.\",\"Year\":\"1971\u20131987, 2010\",\"DVD Title\":\"The Complete Collection\",\"No. of Ep.\":\"96\",\"DVD release\\nRegion 4\":\"2013\"},{\"Discs\":\"2\",\"DVD release\\nRegion 2\":\"\u2014\",\"Year\":\"1986\",\"DVD Title\":\"Two Ronnies In Australia\",\"No. of Ep.\":\"6\",\"DVD release\\nRegion 4\":\"28 June 2008\"},{\"Discs\":\"1\",\"DVD release\\nRegion 2\":\"1 October 2001\",\"Year\":\"1971\u20131984\",\"DVD Title\":\"The Best of...Volume 1\",\"No. of Ep.\":\"1 Compilation\",\"DVD release\\nRegion 4\":\"4 March 2002\"},{\"Discs\":\"1\",\"DVD release\\nRegion 2\":\"29 September 2003\",\"Year\":\"1971\u20131985\",\"DVD Title\":\"The Best of...Volume 2\",\"No. of Ep.\":\"1 Compilation\",\"DVD release\\nRegion 4\":\"17 March 2003\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa85", + "input": { + "question": "what country had the least number of drivers, germany or the uk?", + "table": "{\"headers\":[\"Pos\",\"Driver\",\"Entrant\",\"Constructor\",\"Time/Retired\",\"Grid\"],\"rows\":[{\"Pos\":\"1\",\"Constructor\":\"Lotus-Climax\",\"Time/Retired\":\"2.02:58.6\",\"Grid\":\"1\",\"Driver\":\"Jim Clark\",\"Entrant\":\"Team Lotus\"},{\"Pos\":\"2\",\"Constructor\":\"BRM\",\"Time/Retired\":\"+ 22.6 s\",\"Grid\":\"3\",\"Driver\":\"Richie Ginther\",\"Entrant\":\"Owen Racing Organisation\"},{\"Pos\":\"3\",\"Constructor\":\"BRM\",\"Time/Retired\":\"+ 28.2 s\",\"Grid\":\"2\",\"Driver\":\"Graham Hill\",\"Entrant\":\"Owen Racing Organisation\"},{\"Pos\":\"4\",\"Constructor\":\"Brabham-Climax\",\"Time/Retired\":\"+ 52.0 s\",\"Grid\":\"11\",\"Driver\":\"Jack Brabham\",\"Entrant\":\"Brabham Racing Organisation\"},{\"Pos\":\"5\",\"Constructor\":\"Cooper-Climax\",\"Time/Retired\":\"72 laps\",\"Grid\":\"6\",\"Driver\":\"Tony Maggs\",\"Entrant\":\"Cooper Car Company\"},{\"Pos\":\"6\",\"Constructor\":\"Cooper-Climax\",\"Time/Retired\":\"72 laps\",\"Grid\":\"7\",\"Driver\":\"Bruce McLaren\",\"Entrant\":\"Cooper\"},{\"Pos\":\"7\",\"Constructor\":\"Lola-Climax\",\"Time/Retired\":\"70 laps\",\"Grid\":\"9\",\"Driver\":\"Mike Hailwood\",\"Entrant\":\"Reg Parnell (Racing)\"},{\"Pos\":\"8\",\"Constructor\":\"Scirocco-BRM\",\"Time/Retired\":\"69 laps\",\"Grid\":\"18\",\"Driver\":\"Ian Burgess\",\"Entrant\":\"Scirocco-Powell (Racing Cars)\"},{\"Pos\":\"9\",\"Constructor\":\"Lotus-BRM\",\"Time/Retired\":\"69 laps\",\"Grid\":\"15\",\"Driver\":\"Peter Revson\",\"Entrant\":\"Reg Parnell (Racing)\"},{\"Pos\":\"10\",\"Constructor\":\"Porsche\",\"Time/Retired\":\"67 laps\",\"Grid\":\"20\",\"Driver\":\"Carel Godin de Beaufort\",\"Entrant\":\"Ecurie Maarsbergen\"},{\"Pos\":\"11\",\"Constructor\":\"Lotus-BRM\",\"Time/Retired\":\"Engine (66 laps)\",\"Grid\":\"12\",\"Driver\":\"Jo Siffert\",\"Entrant\":\"Siffert Racing Team\"},{\"Pos\":\"12\",\"Constructor\":\"Lotus-Climax\",\"Time/Retired\":\"63 laps\",\"Grid\":\"21\",\"Driver\":\"Andr\u00e9 Pilette\",\"Entrant\":\"Andr\u00e9 Pilette\"},{\"Pos\":\"13\",\"Constructor\":\"Lotus-BRM\",\"Time/Retired\":\"Oil pressure (56 laps)\",\"Grid\":\"5\",\"Driver\":\"Innes Ireland\",\"Entrant\":\"British Racing Partnership\"},{\"Pos\":\"14\",\"Constructor\":\"Lotus-Climax\",\"Time/Retired\":\"Oil pressure (46 laps)\",\"Grid\":\"19\",\"Driver\":\"Bernard Collomb\",\"Entrant\":\"Bernard Collomb\"},{\"Pos\":\"Ret\",\"Constructor\":\"Gilby-BRM\",\"Time/Retired\":\"Ignition\",\"Grid\":\"13\",\"Driver\":\"Ian Raby\",\"Entrant\":\"Ian Raby (Racing)\"},{\"Pos\":\"Ret\",\"Constructor\":\"Brabham-Climax\",\"Time/Retired\":\"Oil leak\",\"Grid\":\"16\",\"Driver\":\"Dan Gurney\",\"Entrant\":\"Brabham Racing Organisation\"},{\"Pos\":\"Ret\",\"Constructor\":\"Lotus-BRM\",\"Time/Retired\":\"Accident\",\"Grid\":\"17\",\"Driver\":\"Mike Beckwith\",\"Entrant\":\"British Racing Partnership\"},{\"Pos\":\"Ret\",\"Constructor\":\"Lotus-BRM\",\"Time/Retired\":\"Cam follower\",\"Grid\":\"14\",\"Driver\":\"Masten Gregory\",\"Entrant\":\"Tim Parnell\"},{\"Pos\":\"Ret\",\"Constructor\":\"Lotus-Climax\",\"Time/Retired\":\"Crownwheel \\u0026 pinion\",\"Grid\":\"4\",\"Driver\":\"Trevor Taylor\",\"Entrant\":\"Team Lotus\"},{\"Pos\":\"Ret\",\"Constructor\":\"Cooper-Climax\",\"Time/Retired\":\"Oil pressure\",\"Grid\":\"8\",\"Driver\":\"Jo Bonnier\",\"Entrant\":\"Rob Walker Racing Team\"},{\"Pos\":\"Ret\",\"Constructor\":\"Scirocco-BRM\",\"Time/Retired\":\"Valve gear\",\"Grid\":\"22\",\"Driver\":\"Tony Settember\",\"Entrant\":\"Scirocco-Powell (Racing Cars)\"},{\"Pos\":\"Ret\",\"Constructor\":\"Lola-Climax\",\"Time/Retired\":\"Gearbox\",\"Grid\":\"10\",\"Driver\":\"Bob Anderson\",\"Entrant\":\"DW Racing Enterprises\"},{\"Pos\":\"WD\",\"Constructor\":\"Lotus-Climax\",\"Time/Retired\":\"Car not ready\",\"Grid\":\"-\",\"Driver\":\"Peter Arundell\",\"Entrant\":\"Team Lotus\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa251", + "input": { + "question": "how many players had a field goal percentage greater than .500?", + "table": "{\"headers\":[\"Player\",\"Games Played\",\"Minutes Played\",\"Minutes Played Per Game\",\"Rebounds\",\"Rebounds Per Game\",\"Assists\",\"Assists Per Game\",\"Field Goal %\",\"Free Throw %\",\"3-Point %\",\"Points\",\"Points Per Game\"],\"rows\":[{\"Player\":\"Allan Houston\",\"Points Per Game\":\"18.7\",\"Rebounds\":\"283\",\"Free Throw %\":\".909\",\"Games Played\":\"78\",\"Assists\":\"173\",\"Points\":\"1459\",\"Minutes Played\":\"2858\",\"3-Point %\":\".381\",\"Assists Per Game\":\"2.2\",\"Field Goal %\":\".449\",\"Rebounds Per Game\":\"3.6\",\"Minutes Played Per Game\":\"36.6\"},{\"Player\":\"Latrell Sprewell\",\"Points Per Game\":\"17.7\",\"Rebounds\":\"347\",\"Free Throw %\":\".783\",\"Games Played\":\"77\",\"Assists\":\"269\",\"Points\":\"1364\",\"Minutes Played\":\"3017\",\"3-Point %\":\".304\",\"Assists Per Game\":\"3.5\",\"Field Goal %\":\".430\",\"Rebounds Per Game\":\"4.5\",\"Minutes Played Per Game\":\"39.2\"},{\"Player\":\"Glen Rice\",\"Points Per Game\":\"12.0\",\"Rebounds\":\"307\",\"Free Throw %\":\".852\",\"Games Played\":\"75\",\"Assists\":\"89\",\"Points\":\"899\",\"Minutes Played\":\"2212\",\"3-Point %\":\".389\",\"Assists Per Game\":\"1.2\",\"Field Goal %\":\".440\",\"Rebounds Per Game\":\"4.1\",\"Minutes Played Per Game\":\"29.5\"},{\"Player\":\"Marcus Camby\",\"Points Per Game\":\"12.0\",\"Rebounds\":\"515\",\"Free Throw %\":\".667\",\"Games Played\":\"63\",\"Assists\":\"52\",\"Points\":\"759\",\"Minutes Played\":\"2127\",\"3-Point %\":\".125\",\"Assists Per Game\":\"0.8\",\"Field Goal %\":\".524\",\"Rebounds Per Game\":\"11.5\",\"Minutes Played Per Game\":\"33.8\"},{\"Player\":\"Kurt Thomas\",\"Points Per Game\":\"10.4\",\"Rebounds\":\"723\",\"Free Throw %\":\".814\",\"Games Played\":\"77\",\"Assists\":\"63\",\"Points\":\"800\",\"Minutes Played\":\"2125\",\"3-Point %\":\".333\",\"Assists Per Game\":\"0.8\",\"Field Goal %\":\".511\",\"Rebounds Per Game\":\"6.7\",\"Minutes Played Per Game\":\"27.6\"},{\"Player\":\"Larry Johnson\",\"Points Per Game\":\"9.9\",\"Rebounds\":\"363\",\"Free Throw %\":\".797\",\"Games Played\":\"65\",\"Assists\":\"127\",\"Points\":\"645\",\"Minutes Played\":\"2105\",\"3-Point %\":\".313\",\"Assists Per Game\":\"2.0\",\"Field Goal %\":\".411\",\"Rebounds Per Game\":\"5.6\",\"Minutes Played Per Game\":\"32.4\"},{\"Player\":\"Charlie Ward\",\"Points Per Game\":\"7.1\",\"Rebounds\":\"159\",\"Free Throw %\":\".800\",\"Games Played\":\"61\",\"Assists\":\"273\",\"Points\":\"433\",\"Minutes Played\":\"1492\",\"3-Point %\":\".383\",\"Assists Per Game\":\"4.5\",\"Field Goal %\":\".416\",\"Rebounds Per Game\":\"2.6\",\"Minutes Played Per Game\":\"24.5\"},{\"Player\":\"Othella Harrington\",\"Points Per Game\":\"6.2\",\"Rebounds\":\"99\",\"Free Throw %\":\".729\",\"Games Played\":\"30\",\"Assists\":\"20\",\"Points\":\"185\",\"Minutes Played\":\"548\",\"3-Point %\":\"\",\"Assists Per Game\":\"0.7\",\"Field Goal %\":\".554\",\"Rebounds Per Game\":\"3.3\",\"Minutes Played Per Game\":\"18.3\"},{\"Player\":\"Mark Jackson\",\"Points Per Game\":\"5.9\",\"Rebounds\":\"120\",\"Free Throw %\":\".529\",\"Games Played\":\"29\",\"Assists\":\"163\",\"Points\":\"170\",\"Minutes Played\":\"786\",\"3-Point %\":\".310\",\"Assists Per Game\":\"5.6\",\"Field Goal %\":\".411\",\"Rebounds Per Game\":\"4.1\",\"Minutes Played Per Game\":\"27.1\"},{\"Player\":\"Chris Childs\",\"Points Per Game\":\"4.8\",\"Rebounds\":\"138\",\"Free Throw %\":\".848\",\"Games Played\":\"51\",\"Assists\":\"236\",\"Points\":\"245\",\"Minutes Played\":\"1309\",\"3-Point %\":\".313\",\"Assists Per Game\":\"4.6\",\"Field Goal %\":\".419\",\"Rebounds Per Game\":\"2.7\",\"Minutes Played Per Game\":\"25.7\"},{\"Player\":\"Erick Strickland\",\"Points Per Game\":\"4.3\",\"Rebounds\":\"52\",\"Free Throw %\":\".857\",\"Games Played\":\"28\",\"Assists\":\"29\",\"Points\":\"120\",\"Minutes Played\":\"421\",\"3-Point %\":\".340\",\"Assists Per Game\":\"1.0\",\"Field Goal %\":\".305\",\"Rebounds Per Game\":\"1.9\",\"Minutes Played Per Game\":\"15.0\"},{\"Player\":\"Lavor Postell\",\"Points Per Game\":\"2.3\",\"Rebounds\":\"25\",\"Free Throw %\":\".815\",\"Games Played\":\"26\",\"Assists\":\"5\",\"Points\":\"59\",\"Minutes Played\":\"169\",\"3-Point %\":\".273\",\"Assists Per Game\":\"0.2\",\"Field Goal %\":\".315\",\"Rebounds Per Game\":\"1.0\",\"Minutes Played Per Game\":\"6.5\"},{\"Player\":\"Felton Spencer\",\"Points Per Game\":\"2.2\",\"Rebounds\":\"35\",\"Free Throw %\":\".600\",\"Games Played\":\"18\",\"Assists\":\"2\",\"Points\":\"39\",\"Minutes Played\":\"113\",\"3-Point %\":\"\",\"Assists Per Game\":\"0.1\",\"Field Goal %\":\".600\",\"Rebounds Per Game\":\"1.9\",\"Minutes Played Per Game\":\"6.3\"},{\"Player\":\"Luc Longley\",\"Points Per Game\":\"2.0\",\"Rebounds\":\"66\",\"Free Throw %\":\".765\",\"Games Played\":\"25\",\"Assists\":\"7\",\"Points\":\"49\",\"Minutes Played\":\"301\",\"3-Point %\":\"\",\"Assists Per Game\":\"0.3\",\"Field Goal %\":\".333\",\"Rebounds Per Game\":\"2.6\",\"Minutes Played Per Game\":\"12.0\"},{\"Player\":\"Rick Brunson\",\"Points Per Game\":\"1.3\",\"Rebounds\":\"12\",\"Free Throw %\":\".667\",\"Games Played\":\"15\",\"Assists\":\"7\",\"Points\":\"20\",\"Minutes Played\":\"66\",\"3-Point %\":\".000\",\"Assists Per Game\":\"0.5\",\"Field Goal %\":\".421\",\"Rebounds Per Game\":\"0.8\",\"Minutes Played Per Game\":\"4.4\"},{\"Player\":\"Travis Knight\",\"Points Per Game\":\"0.6\",\"Rebounds\":\"53\",\"Free Throw %\":\".500\",\"Games Played\":\"45\",\"Assists\":\"5\",\"Points\":\"29\",\"Minutes Played\":\"256\",\"3-Point %\":\".000\",\"Assists Per Game\":\"0.1\",\"Field Goal %\":\".189\",\"Rebounds Per Game\":\"1.2\",\"Minutes Played Per Game\":\"5.7\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa291", + "input": { + "question": "what was the last district created?", + "table": "{\"headers\":[\"Districts\",\"UBIGEO\",\"Area\\n(km\u00b2)\",\"Population\",\"Population density\\n(/km\u00b2)\",\"Created\",\"Postal\\ncode\"],\"rows\":[{\"UBIGEO\":\"150102\",\"Postal\\ncode\":\"02\",\"Population\":\"29,419\",\"Districts\":\"Anc\u00f3n\",\"Area\\n(km\u00b2)\":\"299.22\",\"Population density\\n(/km\u00b2)\":\"98.3\",\"Created\":\"29 October 1874\"},{\"UBIGEO\":\"150103\",\"Postal\\ncode\":\"03\",\"Population\":\"419,663\",\"Districts\":\"Ate\",\"Area\\n(km\u00b2)\":\"77.72\",\"Population density\\n(/km\u00b2)\":\"5,399.7\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150104\",\"Postal\\ncode\":\"04\",\"Population\":\"45,922\",\"Districts\":\"Barranco\",\"Area\\n(km\u00b2)\":\"3.33\",\"Population density\\n(/km\u00b2)\":\"13,790.4\",\"Created\":\"26 October 1874\"},{\"UBIGEO\":\"150105\",\"Postal\\ncode\":\"05\",\"Population\":\"94,808\",\"Districts\":\"Bre\u00f1a\",\"Area\\n(km\u00b2)\":\"3.22\",\"Population density\\n(/km\u00b2)\":\"29,443.5\",\"Created\":\"15 July 1949\"},{\"UBIGEO\":\"150106\",\"Postal\\ncode\":\"06\",\"Population\":\"188,764\",\"Districts\":\"Carabayllo\",\"Area\\n(km\u00b2)\":\"346.88\",\"Population density\\n(/km\u00b2)\":\"544.2\",\"Created\":\"4 August 1821\"},{\"UBIGEO\":\"150107\",\"Postal\\ncode\":\"08\",\"Population\":\"39,686\",\"Districts\":\"Chaclacayo\",\"Area\\n(km\u00b2)\":\"39.5\",\"Population density\\n(/km\u00b2)\":\"1,004.7\",\"Created\":\"24 April 1940\"},{\"UBIGEO\":\"150108\",\"Postal\\ncode\":\"09\",\"Population\":\"262,595\",\"Districts\":\"Chorrillos\",\"Area\\n(km\u00b2)\":\"38.94\",\"Population density\\n(/km\u00b2)\":\"6,743.6\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150109\",\"Postal\\ncode\":\"40\",\"Population\":\"15,784\",\"Districts\":\"Cieneguilla\",\"Area\\n(km\u00b2)\":\"240.33\",\"Population density\\n(/km\u00b2)\":\"65.7\",\"Created\":\"3 March 1970\"},{\"UBIGEO\":\"150110\",\"Postal\\ncode\":\"07\",\"Population\":\"464,745\",\"Districts\":\"Comas\",\"Area\\n(km\u00b2)\":\"48.75\",\"Population density\\n(/km\u00b2)\":\"9,533.2\",\"Created\":\"12 December 1961\"},{\"UBIGEO\":\"150111\",\"Postal\\ncode\":\"10\",\"Population\":\"165,425\",\"Districts\":\"El Agustino\",\"Area\\n(km\u00b2)\":\"12.54\",\"Population density\\n(/km\u00b2)\":\"13,191.8\",\"Created\":\"6 January 1965\"},{\"UBIGEO\":\"150112\",\"Postal\\ncode\":\"28\",\"Population\":\"197,308\",\"Districts\":\"Independencia\",\"Area\\n(km\u00b2)\":\"14.56\",\"Population density\\n(/km\u00b2)\":\"13,551.4\",\"Created\":\"16 March 1964\"},{\"UBIGEO\":\"150113\",\"Postal\\ncode\":\"11\",\"Population\":\"58,588\",\"Districts\":\"Jes\u00fas Mar\u00eda\",\"Area\\n(km\u00b2)\":\"4.57\",\"Population density\\n(/km\u00b2)\":\"12,820.1\",\"Created\":\"13 December 1963\"},{\"UBIGEO\":\"150114\",\"Postal\\ncode\":\"12\",\"Population\":\"124,468\",\"Districts\":\"La Molina\",\"Area\\n(km\u00b2)\":\"65.75\",\"Population density\\n(/km\u00b2)\":\"1,893.0\",\"Created\":\"6 February 1962\"},{\"UBIGEO\":\"150115\",\"Postal\\ncode\":\"13\",\"Population\":\"190,218\",\"Districts\":\"La Victoria\",\"Area\\n(km\u00b2)\":\"8.74\",\"Population density\\n(/km\u00b2)\":\"21,764.1\",\"Created\":\"16 August 1921\"},{\"UBIGEO\":\"150101\",\"Postal\\ncode\":\"01\",\"Population\":\"278,804\",\"Districts\":\"Lima\",\"Area\\n(km\u00b2)\":\"21.88\",\"Population density\\n(/km\u00b2)\":\"13,187.2\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150116\",\"Postal\\ncode\":\"14\",\"Population\":\"52,123\",\"Districts\":\"Lince\",\"Area\\n(km\u00b2)\":\"3.03\",\"Population density\\n(/km\u00b2)\":\"17,202.3\",\"Created\":\"20 May 1936\"},{\"UBIGEO\":\"150117\",\"Postal\\ncode\":\"39\",\"Population\":\"286,549\",\"Districts\":\"Los Olivos\",\"Area\\n(km\u00b2)\":\"18.25\",\"Population density\\n(/km\u00b2)\":\"15,701.3\",\"Created\":\"7 April 1989\"},{\"UBIGEO\":\"150118\",\"Postal\\ncode\":\"15\",\"Population\":\"90,594\",\"Districts\":\"Lurigancho\",\"Area\\n(km\u00b2)\":\"236.47\",\"Population density\\n(/km\u00b2)\":\"383.1\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150119\",\"Postal\\ncode\":\"16\",\"Population\":\"55,953\",\"Districts\":\"Lur\u00edn\",\"Area\\n(km\u00b2)\":\"181.12\",\"Population density\\n(/km\u00b2)\":\"308.9\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150120\",\"Postal\\ncode\":\"17\",\"Population\":\"48,445\",\"Districts\":\"Magdalena del Mar\",\"Area\\n(km\u00b2)\":\"3.61\",\"Population density\\n(/km\u00b2)\":\"13,419.7\",\"Created\":\"10 May 1920\"},{\"UBIGEO\":\"150122\",\"Postal\\ncode\":\"18\",\"Population\":\"92,815\",\"Districts\":\"Miraflores\",\"Area\\n(km\u00b2)\":\"9.62\",\"Population density\\n(/km\u00b2)\":\"9,648.1\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150123\",\"Postal\\ncode\":\"19\",\"Population\":\"54,763\",\"Districts\":\"Pachacamac\",\"Area\\n(km\u00b2)\":\"160.23\",\"Population density\\n(/km\u00b2)\":\"341.8\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150124\",\"Postal\\ncode\":\"20\",\"Population\":\"9,231\",\"Districts\":\"Pucusana\",\"Area\\n(km\u00b2)\":\"37.83\",\"Population density\\n(/km\u00b2)\":\"244.0\",\"Created\":\"22 January 1943\"},{\"UBIGEO\":\"150121\",\"Postal\\ncode\":\"21\",\"Population\":\"71,892\",\"Districts\":\"Pueblo Libre\",\"Area\\n(km\u00b2)\":\"4.38\",\"Population density\\n(/km\u00b2)\":\"16,413.7\",\"Created\":\"2 January 1857\"},{\"UBIGEO\":\"150125\",\"Postal\\ncode\":\"22\",\"Population\":\"203,473\",\"Districts\":\"Puente Piedra\",\"Area\\n(km\u00b2)\":\"71.18\",\"Population density\\n(/km\u00b2)\":\"2,858.6\",\"Created\":\"14 February 1927\"},{\"UBIGEO\":\"150126\",\"Postal\\ncode\":\"24\",\"Population\":\"4,676\",\"Districts\":\"Punta Hermosa\",\"Area\\n(km\u00b2)\":\"119.5\",\"Population density\\n(/km\u00b2)\":\"39.1\",\"Created\":\"7 April 1954\"},{\"UBIGEO\":\"150127\",\"Postal\\ncode\":\"23\",\"Population\":\"4,473\",\"Districts\":\"Punta Negra\",\"Area\\n(km\u00b2)\":\"130.5\",\"Population density\\n(/km\u00b2)\":\"34.3\",\"Created\":\"7 April 1954\"},{\"UBIGEO\":\"150128\",\"Postal\\ncode\":\"25\",\"Population\":\"175,793\",\"Districts\":\"R\u00edmac\",\"Area\\n(km\u00b2)\":\"11.87\",\"Population density\\n(/km\u00b2)\":\"14,809.9\",\"Created\":\"16 August 1921\"},{\"UBIGEO\":\"150129\",\"Postal\\ncode\":\"26\",\"Population\":\"5,733\",\"Districts\":\"San Bartolo\",\"Area\\n(km\u00b2)\":\"45.01\",\"Population density\\n(/km\u00b2)\":\"127.4\",\"Created\":\"5 May 1946\"},{\"UBIGEO\":\"150130\",\"Postal\\ncode\":\"41\",\"Population\":\"102,762\",\"Districts\":\"San Borja\",\"Area\\n(km\u00b2)\":\"9.96\",\"Population density\\n(/km\u00b2)\":\"10,317.5\",\"Created\":\"1 June 1983\"},{\"UBIGEO\":\"150131\",\"Postal\\ncode\":\"27\",\"Population\":\"55,309\",\"Districts\":\"San Isidro\",\"Area\\n(km\u00b2)\":\"11.1\",\"Population density\\n(/km\u00b2)\":\"6,165.6\",\"Created\":\"24 April 1931\"},{\"UBIGEO\":\"150132\",\"Postal\\ncode\":\"36\",\"Population\":\"812,656\",\"Districts\":\"San Juan de Lurigancho\",\"Area\\n(km\u00b2)\":\"131.25\",\"Population density\\n(/km\u00b2)\":\"6,191.7\",\"Created\":\"13 January 1967\"},{\"UBIGEO\":\"150133\",\"Postal\\ncode\":\"29\",\"Population\":\"335,237\",\"Districts\":\"San Juan de Miraflores\",\"Area\\n(km\u00b2)\":\"23.98\",\"Population density\\n(/km\u00b2)\":\"13,979.9\",\"Created\":\"12 January 1965\"},{\"UBIGEO\":\"150134\",\"Postal\\ncode\":\"30\",\"Population\":\"46,258\",\"Districts\":\"San Luis\",\"Area\\n(km\u00b2)\":\"3.49\",\"Population density\\n(/km\u00b2)\":\"13,254.4\",\"Created\":\"30 May 1968\"},{\"UBIGEO\":\"150135\",\"Postal\\ncode\":\"31\",\"Population\":\"525,155\",\"Districts\":\"San Mart\u00edn de Porres\",\"Area\\n(km\u00b2)\":\"36.91\",\"Population density\\n(/km\u00b2)\":\"14,228.0\",\"Created\":\"22 May 1950\"},{\"UBIGEO\":\"150136\",\"Postal\\ncode\":\"32\",\"Population\":\"124,904\",\"Districts\":\"San Miguel\",\"Area\\n(km\u00b2)\":\"10.72\",\"Population density\\n(/km\u00b2)\":\"11,651.5\",\"Created\":\"10 May 1920\"},{\"UBIGEO\":\"150137\",\"Postal\\ncode\":\"43\",\"Population\":\"160,777\",\"Districts\":\"Santa Anita\",\"Area\\n(km\u00b2)\":\"10.69\",\"Population density\\n(/km\u00b2)\":\"15,039.9\",\"Created\":\"26 October 1989\"},{\"UBIGEO\":\"150138\",\"Postal\\ncode\":\"37\",\"Population\":\"88\",\"Districts\":\"Santa Mar\u00eda del Mar District\",\"Area\\n(km\u00b2)\":\"9.81\",\"Population density\\n(/km\u00b2)\":\"9.0\",\"Created\":\"16 January 1962\"},{\"UBIGEO\":\"150139\",\"Postal\\ncode\":\"38\",\"Population\":\"9,379\",\"Districts\":\"Santa Rosa\",\"Area\\n(km\u00b2)\":\"21.5\",\"Population density\\n(/km\u00b2)\":\"436.2\",\"Created\":\"7 February 1962\"},{\"UBIGEO\":\"150140\",\"Postal\\ncode\":\"33\",\"Population\":\"272,690\",\"Districts\":\"Santiago de Surco\",\"Area\\n(km\u00b2)\":\"34.75\",\"Population density\\n(/km\u00b2)\":\"7,847.2\",\"Created\":\"16 December 1929\"},{\"UBIGEO\":\"150141\",\"Postal\\ncode\":\"34\",\"Population\":\"84,202\",\"Districts\":\"Surquillo\",\"Area\\n(km\u00b2)\":\"3.46\",\"Population density\\n(/km\u00b2)\":\"24,335.8\",\"Created\":\"15 July 1949\"},{\"UBIGEO\":\"150142\",\"Postal\\ncode\":\"42\",\"Population\":\"367,436\",\"Districts\":\"Villa El Salvador\",\"Area\\n(km\u00b2)\":\"35.46\",\"Population density\\n(/km\u00b2)\":\"10,362.0\",\"Created\":\"1 June 1983\"},{\"UBIGEO\":\"150143\",\"Postal\\ncode\":\"35\",\"Population\":\"355,761\",\"Districts\":\"Villa Mar\u00eda del Triunfo\",\"Area\\n(km\u00b2)\":\"70.57\",\"Population density\\n(/km\u00b2)\":\"5,041.2\",\"Created\":\"28 December 1961\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa66", + "input": { + "question": "how many stars have a magnitude greater than zero?", + "table": "{\"headers\":[\"Star\",\"Start\\nyear\",\"End\\nyear\",\"Maximum\\nyear\",\"Maximum\\nmagnitude\",\"Distance at\\nmaximum (LY)\",\"Current\\ndistance\",\"Current\\nmagnitude\"],\"rows\":[{\"Distance at\\nmaximum (LY)\":\"34\",\"Start\\nyear\":\"...\",\"End\\nyear\":\"-4,460,000\",\"Maximum\\nyear\":\"-4,700,000\",\"Star\":\"Epsilon Canis Majoris\",\"Maximum\\nmagnitude\":\"-3.99\",\"Current\\ndistance\":\"430\",\"Current\\nmagnitude\":\"1.50\"},{\"Distance at\\nmaximum (LY)\":\"37\",\"Start\\nyear\":\"-4,460,000\",\"End\\nyear\":\"-3,700,000\",\"Maximum\\nyear\":\"-4,420,000\",\"Star\":\"Beta Canis Majoris\",\"Maximum\\nmagnitude\":\"-3.65\",\"Current\\ndistance\":\"500\",\"Current\\nmagnitude\":\"1.99\"},{\"Distance at\\nmaximum (LY)\":\"177\",\"Start\\nyear\":\"-3,700,000\",\"End\\nyear\":\"-1,370,000\",\"Maximum\\nyear\":\"-3,110,000\",\"Star\":\"Canopus (first time)\",\"Maximum\\nmagnitude\":\"-1.86\",\"Current\\ndistance\":\"310\",\"Current\\nmagnitude\":\"-0.72\"},{\"Distance at\\nmaximum (LY)\":\"8\",\"Start\\nyear\":\"-1,370,000\",\"End\\nyear\":\"-1,080,000\",\"Maximum\\nyear\":\"-1,200,000\",\"Star\":\"Zeta Sagittarii\",\"Maximum\\nmagnitude\":\"-2.74\",\"Current\\ndistance\":\"89.1\",\"Current\\nmagnitude\":\"2.60\"},{\"Distance at\\nmaximum (LY)\":\"5.3\",\"Start\\nyear\":\"-1,080,000\",\"End\\nyear\":\"-950,000\",\"Maximum\\nyear\":\"-1,050,000\",\"Star\":\"Zeta Leporis\",\"Maximum\\nmagnitude\":\"-2.05\",\"Current\\ndistance\":\"70\",\"Current\\nmagnitude\":\"3.55\"},{\"Distance at\\nmaximum (LY)\":\"252\",\"Start\\nyear\":\"-950,000\",\"End\\nyear\":\"-420,000\",\"Maximum\\nyear\":\"-950,000\",\"Star\":\"Canopus (second time)\",\"Maximum\\nmagnitude\":\"-1.09\",\"Current\\ndistance\":\"310\",\"Current\\nmagnitude\":\"-0.72\"},{\"Distance at\\nmaximum (LY)\":\"21.5\",\"Start\\nyear\":\"-420,000\",\"End\\nyear\":\"-210,000\",\"Maximum\\nyear\":\"-320,000\",\"Star\":\"Aldebaran\",\"Maximum\\nmagnitude\":\"-1.54\",\"Current\\ndistance\":\"65\",\"Current\\nmagnitude\":\"0.85\"},{\"Distance at\\nmaximum (LY)\":\"27.9\",\"Start\\nyear\":\"-210,000\",\"End\\nyear\":\"-160,000\",\"Maximum\\nyear\":\"-240,000\",\"Star\":\"Capella\",\"Maximum\\nmagnitude\":\"-0.82\",\"Current\\ndistance\":\"42.2\",\"Current\\nmagnitude\":\"0.08\"},{\"Distance at\\nmaximum (LY)\":\"302\",\"Start\\nyear\":\"-160,000\",\"End\\nyear\":\"-90,000\",\"Maximum\\nyear\":\"-160,000\",\"Star\":\"Canopus (third time)\",\"Maximum\\nmagnitude\":\"-0.70\",\"Current\\ndistance\":\"310\",\"Current\\nmagnitude\":\"-0.72\"},{\"Distance at\\nmaximum (LY)\":\"7.8\",\"Start\\nyear\":\"-90,000\",\"End\\nyear\":\"+210,000\",\"Maximum\\nyear\":\"+60,000\",\"Star\":\"Sirius (current)\",\"Maximum\\nmagnitude\":\"-1.64\",\"Current\\ndistance\":\"8.6\",\"Current\\nmagnitude\":\"-1.46\"},{\"Distance at\\nmaximum (LY)\":\"17.2\",\"Start\\nyear\":\"+210,000\",\"End\\nyear\":\"+480,000\",\"Maximum\\nyear\":\"+290,000\",\"Star\":\"Vega\",\"Maximum\\nmagnitude\":\"-0.81\",\"Current\\ndistance\":\"25.04\",\"Current\\nmagnitude\":\"0.03\"},{\"Distance at\\nmaximum (LY)\":\"346\",\"Start\\nyear\":\"+480,000\",\"End\\nyear\":\"+990,000\",\"Maximum\\nyear\":\"+480,000\",\"Star\":\"Canopus (fourth time)\",\"Maximum\\nmagnitude\":\"-0.40\",\"Current\\ndistance\":\"310\",\"Current\\nmagnitude\":\"-0.72\"},{\"Distance at\\nmaximum (LY)\":\"28.5\",\"Start\\nyear\":\"+990,000\",\"End\\nyear\":\"+1,150,000\",\"Maximum\\nyear\":\"+1,190,000\",\"Star\":\"Beta Aurigae\",\"Maximum\\nmagnitude\":\"-0.40\",\"Current\\ndistance\":\"82.1\",\"Current\\nmagnitude\":\"1.9\"},{\"Distance at\\nmaximum (LY)\":\"9.2\",\"Start\\nyear\":\"+1,150,000\",\"End\\nyear\":\"+1,330,000\",\"Maximum\\nyear\":\"+1,250,000\",\"Star\":\"Delta Scuti\",\"Maximum\\nmagnitude\":\"-1.84\",\"Current\\ndistance\":\"187\",\"Current\\nmagnitude\":\"4.72\"},{\"Distance at\\nmaximum (LY)\":\"27.7\",\"Start\\nyear\":\"+1,330,000\",\"End\\nyear\":\"+2,030,000\",\"Maximum\\nyear\":\"+1,550,000\",\"Star\":\"Gamma Draconis\",\"Maximum\\nmagnitude\":\"-1.39\",\"Current\\ndistance\":\"154\",\"Current\\nmagnitude\":\"2.36\"},{\"Distance at\\nmaximum (LY)\":\"30\",\"Start\\nyear\":\"+2,030,000\",\"End\\nyear\":\"+2,670,000\",\"Maximum\\nyear\":\"+2,290,000\",\"Star\":\"Upsilon Librae\",\"Maximum\\nmagnitude\":\"-0.46\",\"Current\\ndistance\":\"195\",\"Current\\nmagnitude\":\"3.6\"},{\"Distance at\\nmaximum (LY)\":\"14\",\"Start\\nyear\":\"+2,670,000\",\"End\\nyear\":\"+3,050,000\",\"Maximum\\nyear\":\"+2,870,000\",\"Star\":\"NR Canis Majoris\",\"Maximum\\nmagnitude\":\"-0.88\",\"Current\\ndistance\":\"280\",\"Current\\nmagnitude\":\"5.6\"},{\"Distance at\\nmaximum (LY)\":\"44\",\"Start\\nyear\":\"+3,050,000\",\"End\\nyear\":\"+3,870,000\",\"Maximum\\nyear\":\"+3,470,000\",\"Star\":\"Omicron Herculis\",\"Maximum\\nmagnitude\":\"-0.63\",\"Current\\ndistance\":\"346\",\"Current\\nmagnitude\":\"3.83\"},{\"Distance at\\nmaximum (LY)\":\"80\",\"Start\\nyear\":\"+3,870,000\",\"End\\nyear\":\"...\",\"Maximum\\nyear\":\"+4,610,000\",\"Star\":\"Beta Cygni\",\"Maximum\\nmagnitude\":\"-0.52\",\"Current\\ndistance\":\"390\",\"Current\\nmagnitude\":\"3.18\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa127", + "input": { + "question": "in 2009, which competitor finished faster - the male or the female?", + "table": "{\"headers\":[\"Edition\",\"Year\",\"Men\\u0027s winner\",\"Time (h:m:s)\",\"Women\\u0027s winner\",\"Time (h:m:s)\"],\"rows\":[{\"Men\\u0027s winner\":\"Sean Hehir (IRL)\",\"Year\":\"2013\",\"Women\\u0027s winner\":\"Maria McCambridge (IRL)\",\"Time (h:m:s)\":\"2:38:51\",\"Edition\":\"34th\"},{\"Men\\u0027s winner\":\"Geoffrey Ndungu (KEN)\",\"Year\":\"2012\",\"Women\\u0027s winner\":\"Magdalene Mukunza (KEN)\",\"Time (h:m:s)\":\"2:30:46\",\"Edition\":\"33rd\"},{\"Men\\u0027s winner\":\"Geoffrey Ndungu (KEN)\",\"Year\":\"2011\",\"Women\\u0027s winner\":\"Helalia Johannes (NAM)\",\"Time (h:m:s)\":\"2:30:33\",\"Edition\":\"32nd\"},{\"Men\\u0027s winner\":\"Moses Kangogo Kibet (KEN)\",\"Year\":\"2010\",\"Women\\u0027s winner\":\"Tatyana Aryasova (RUS)\",\"Time (h:m:s)\":\"2:26:13\",\"Edition\":\"31st\"},{\"Men\\u0027s winner\":\"Feyisa Lilesa (ETH)\",\"Year\":\"2009\",\"Women\\u0027s winner\":\"Kateryna Stetsenko (UKR)\",\"Time (h:m:s)\":\"2:32:45\",\"Edition\":\"30th\"},{\"Men\\u0027s winner\":\"Andriy Naumov (UKR)\",\"Year\":\"2008\",\"Women\\u0027s winner\":\"Larisa Zyuzko (RUS)\",\"Time (h:m:s)\":\"2:29:55\",\"Edition\":\"29th\"},{\"Men\\u0027s winner\":\"Aleksey Sokolov (RUS)\",\"Year\":\"2007\",\"Women\\u0027s winner\":\"Alina Ivanova (RUS)\",\"Time (h:m:s)\":\"2:29:20\",\"Edition\":\"28th\"},{\"Men\\u0027s winner\":\"Aleksey Sokolov (RUS)\",\"Year\":\"2006\",\"Women\\u0027s winner\":\"Alina Ivanova (RUS)\",\"Time (h:m:s)\":\"2:29:49\",\"Edition\":\"27th\"},{\"Men\\u0027s winner\":\"Dmytro Osadchyy (UKR)\",\"Year\":\"2005\",\"Women\\u0027s winner\":\"Zinaida Semenova (RUS)\",\"Time (h:m:s)\":\"2:32:53\",\"Edition\":\"26th\"},{\"Men\\u0027s winner\":\"Lezan Kipkosgei Kimutai (KEN)\",\"Year\":\"2004\",\"Women\\u0027s winner\":\"Yelena Burykina (RUS)\",\"Time (h:m:s)\":\"2:32:53\",\"Edition\":\"25th\"},{\"Men\\u0027s winner\":\"Onesmus Musyoka Kilonzo (KEN)\",\"Year\":\"2003\",\"Women\\u0027s winner\":\"Ruth Kutol (KEN)\",\"Time (h:m:s)\":\"2:27:22\",\"Edition\":\"24th\"},{\"Men\\u0027s winner\":\"Frederick Cherono (KEN)\",\"Year\":\"2002\",\"Women\\u0027s winner\":\"Lidiya Vasilevskaya (RUS)\",\"Time (h:m:s)\":\"2:32:58\",\"Edition\":\"23rd\"},{\"Men\\u0027s winner\":\"Zacharia Mpolokeng (RSA)\",\"Year\":\"2001\",\"Women\\u0027s winner\":\"Debbie Robinson (GBR)\",\"Time (h:m:s)\":\"2:35:40\",\"Edition\":\"22nd\"},{\"Men\\u0027s winner\":\"Simon Pride (GBR)\",\"Year\":\"2000\",\"Women\\u0027s winner\":\"Sonia O\\u0027Sullivan (IRL)\",\"Time (h:m:s)\":\"2:35:42\",\"Edition\":\"21st\"},{\"Men\\u0027s winner\":\"John Mutai (KEN)\",\"Year\":\"1999\",\"Women\\u0027s winner\":\"Esther Kiplagat (KEN)\",\"Time (h:m:s)\":\"2:34:24\",\"Edition\":\"20th\"},{\"Men\\u0027s winner\":\"Joshua Kipkemboi (KEN)\",\"Year\":\"1998\",\"Women\\u0027s winner\":\"Teresa Duffy (IRL)\",\"Time (h:m:s)\":\"2:39:56\",\"Edition\":\"19th\"},{\"Men\\u0027s winner\":\"Joshua Kipkemboi (KEN)\",\"Year\":\"1997\",\"Women\\u0027s winner\":\"Carol Galea (MLT)\",\"Time (h:m:s)\":\"2:39:33\",\"Edition\":\"18th\"},{\"Men\\u0027s winner\":\"Joseph Kahugu (KEN)\",\"Year\":\"1996\",\"Women\\u0027s winner\":\"Cathy Shum (IRL)\",\"Time (h:m:s)\":\"2:38:56\",\"Edition\":\"17th\"},{\"Men\\u0027s winner\":\"William Musyoki (KEN)\",\"Year\":\"1995\",\"Women\\u0027s winner\":\"Trudi Thomson (GBR)\",\"Time (h:m:s)\":\"2:38:23\",\"Edition\":\"16th\"},{\"Men\\u0027s winner\":\"Steve Brace (GBR)\",\"Year\":\"1994\",\"Women\\u0027s winner\":\"Linda Rushmere (GBR)\",\"Time (h:m:s)\":\"2:40:17\",\"Edition\":\"15th\"},{\"Men\\u0027s winner\":\"John Treacy (IRL)\",\"Year\":\"1993\",\"Women\\u0027s winner\":\"Cathy Shum (IRL)\",\"Time (h:m:s)\":\"2:38:14\",\"Edition\":\"14th\"},{\"Men\\u0027s winner\":\"Jerry Kiernan (IRL)\",\"Year\":\"1992\",\"Women\\u0027s winner\":\"Karen Cornwall (GBR)\",\"Time (h:m:s)\":\"2:41:58\",\"Edition\":\"13th\"},{\"Men\\u0027s winner\":\"Tommy Hughes (GBR)\",\"Year\":\"1991\",\"Women\\u0027s winner\":\"Christine Kennedy (IRL)\",\"Time (h:m:s)\":\"2:35:56\",\"Edition\":\"12th\"},{\"Men\\u0027s winner\":\"John Bolger (IRL)\",\"Year\":\"1990\",\"Women\\u0027s winner\":\"Christine Kennedy (IRL)\",\"Time (h:m:s)\":\"2:41:27\",\"Edition\":\"11th\"},{\"Men\\u0027s winner\":\"John Griffin (IRL)\",\"Year\":\"1989\",\"Women\\u0027s winner\":\"Pauline Nolan (IRL)\",\"Time (h:m:s)\":\"2:44:32\",\"Edition\":\"10th\"},{\"Men\\u0027s winner\":\"John Griffin (IRL)\",\"Year\":\"1988\",\"Women\\u0027s winner\":\"Moira O\\u0027Neill (GBR)\",\"Time (h:m:s)\":\"2:37:06\",\"Edition\":\"9th\"},{\"Men\\u0027s winner\":\"Pavel Klime\u0161 (TCH)\",\"Year\":\"1987\",\"Women\\u0027s winner\":\"Carolyn Naisby (GBR)\",\"Time (h:m:s)\":\"2:42:08\",\"Edition\":\"8th\"},{\"Men\\u0027s winner\":\"Dick Hooper (IRL)\",\"Year\":\"1986\",\"Women\\u0027s winner\":\"Maureen Hurst (GBR)\",\"Time (h:m:s)\":\"2:46:29\",\"Edition\":\"7th\"},{\"Men\\u0027s winner\":\"Dick Hooper (IRL)\",\"Year\":\"1985\",\"Women\\u0027s winner\":\"Julia Gates (GBR)\",\"Time (h:m:s)\":\"2:41:26\",\"Edition\":\"6th\"},{\"Men\\u0027s winner\":\"Svend-Erik Kristensen (DEN)\",\"Year\":\"1984\",\"Women\\u0027s winner\":\"Ailish Smyth (IRL)\",\"Time (h:m:s)\":\"2:47:30\",\"Edition\":\"5th\"},{\"Men\\u0027s winner\":\"Ronny Agten (BEL)\",\"Year\":\"1983\",\"Women\\u0027s winner\":\"Mary Purcell (IRL)\",\"Time (h:m:s)\":\"2:46:09\",\"Edition\":\"4th\"},{\"Men\\u0027s winner\":\"Jerry Kiernan (IRL)\",\"Year\":\"1982\",\"Women\\u0027s winner\":\"Debbie Mueller (USA)\",\"Time (h:m:s)\":\"2:40:57\",\"Edition\":\"3rd\"},{\"Men\\u0027s winner\":\"Neil Cusack (IRL)\",\"Year\":\"1981\",\"Women\\u0027s winner\":\"Emily Dowling (IRL)\",\"Time (h:m:s)\":\"2:48:22\",\"Edition\":\"2nd\"},{\"Men\\u0027s winner\":\"Dick Hooper (IRL)\",\"Year\":\"1980\",\"Women\\u0027s winner\":\"Carey May (IRL)\",\"Time (h:m:s)\":\"2:42:11\",\"Edition\":\"1st\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa573", + "input": { + "question": "how many times did internacional de madrid cf end the season at the top of their division?", + "table": "{\"headers\":[\"Season\",\"Tier\",\"Division\",\"Place\"],\"rows\":[{\"Tier\":\"8\",\"Division\":\"3\u00aa Aficio.\",\"Season\":\"2002/03\",\"Place\":\"1st\"},{\"Tier\":\"6\",\"Division\":\"1\u00aa Aficio.\",\"Season\":\"2003/04\",\"Place\":\"1st\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2004/05\",\"Place\":\"13th\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2005/06\",\"Place\":\"4th\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2006/07\",\"Place\":\"8th\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2007/08\",\"Place\":\"8th\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2008/09\",\"Place\":\"3rd\"},{\"Tier\":\"5\",\"Division\":\"Preferente\",\"Season\":\"2009/10\",\"Place\":\"2nd\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"2010/11\",\"Place\":\"6th\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"2011/12\",\"Place\":\"6th\"},{\"Tier\":\"4\",\"Division\":\"3\u00aa\",\"Season\":\"2012/13\",\"Place\":\"11th\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa454", + "input": { + "question": "how many areas are unparished areas?", + "table": "{\"headers\":[\"Name\",\"Status\",\"Population\",\"District\",\"Former local authority\"],\"rows\":[{\"Status\":\"Civil parish\",\"Population\":\"1,379\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"Knowsley\",\"Name\":\"Cronton\"},{\"Status\":\"Town\",\"Population\":\"20,309\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"Knowsley\",\"Name\":\"Halewood\"},{\"Status\":\"Unparished area\",\"Population\":\"49,859\",\"Former local authority\":\"Huyton with Roby\\nUrban District\",\"District\":\"Knowsley\",\"Name\":\"Huyton with Roby\"},{\"Status\":\"Unparished area\",\"Population\":\"40,374\",\"Former local authority\":\"Kirkby\\nUrban District\",\"District\":\"Knowsley\",\"Name\":\"Kirkby\"},{\"Status\":\"Civil parish\",\"Population\":\"11,343\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"Knowsley\",\"Name\":\"Knowsley\"},{\"Status\":\"Town\",\"Population\":\"11,184\",\"Former local authority\":\"Prescot\\nUrban District\",\"District\":\"Knowsley\",\"Name\":\"Prescot\"},{\"Status\":\"Civil parish\",\"Population\":\"2,382\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"Knowsley\",\"Name\":\"Tarbock\"},{\"Status\":\"Town\",\"Population\":\"13,629\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"Knowsley\",\"Name\":\"Whiston\"},{\"Status\":\"Unparished area\",\"Population\":\"439,473\",\"Former local authority\":\"Liverpool\\nCounty Borough\",\"District\":\"Liverpool\",\"Name\":\"Liverpool\"},{\"Status\":\"Civil parish\",\"Population\":\"7,126\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Aintree Village\"},{\"Status\":\"Unparished area\",\"Population\":\"59,011\",\"Former local authority\":\"Bootle\\nCounty Borough\",\"District\":\"Sefton\",\"Name\":\"Bootle\"},{\"Status\":\"Unparished area\",\"Population\":\"45,872\",\"Former local authority\":\"Crosby\\nMunicipal Borough\",\"District\":\"Sefton\",\"Name\":\"Crosby\"},{\"Status\":\"Civil parish\",\"Population\":\"23,586\",\"Former local authority\":\"Formby\\nUrban District\",\"District\":\"Sefton\",\"Name\":\"Formby\"},{\"Status\":\"Civil parish\",\"Population\":\"2,247\",\"Former local authority\":\"Crosby\\nMunicipal Borough\",\"District\":\"Sefton\",\"Name\":\"Hightown\"},{\"Status\":\"Civil parish\",\"Population\":\"518\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Ince Blundell\"},{\"Status\":\"Unparished area\",\"Population\":\"18,629\",\"Former local authority\":\"Litherland\\nUrban District\",\"District\":\"Sefton\",\"Name\":\"Litherland\"},{\"Status\":\"Civil parish\",\"Population\":\"892\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Little Altcar\"},{\"Status\":\"Civil parish\",\"Population\":\"6,672\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Lydiate\"},{\"Status\":\"Town\",\"Population\":\"22,225\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Maghull\"},{\"Status\":\"Civil parish\",\"Population\":\"2,810\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Melling\"},{\"Status\":\"Civil parish\",\"Population\":\"772\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Sefton\"},{\"Status\":\"Unparished area\",\"Population\":\"90,336\",\"Former local authority\":\"Southport\\nCounty Borough\",\"District\":\"Sefton\",\"Name\":\"Southport\"},{\"Status\":\"Civil parish\",\"Population\":\"2,262\",\"Former local authority\":\"West Lancashire\\nRural District\",\"District\":\"Sefton\",\"Name\":\"Thornton\"},{\"Status\":\"Civil parish\",\"Population\":\"6,554\",\"Former local authority\":\"Billinge and Winstanley\\nUrban District\",\"District\":\"St Helens\",\"Name\":\"Billinge Chapel End\"},{\"Status\":\"Civil parish\",\"Population\":\"2,283\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"St Helens\",\"Name\":\"Bold\"},{\"Status\":\"Civil parish\",\"Population\":\"10,528\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"St Helens\",\"Name\":\"Eccleston\"},{\"Status\":\"Unparished area\",\"Population\":\"15,684\",\"Former local authority\":\"Haydock\\nUrban District\",\"District\":\"St Helens\",\"Name\":\"Haydock\"},{\"Status\":\"Unparished area\",\"Population\":\"21,418\",\"Former local authority\":\"Newton le Willows\\nUrban District\",\"District\":\"St Helens\",\"Name\":\"Newton le Willows\"},{\"Status\":\"Civil parish\",\"Population\":\"8,344\",\"Former local authority\":\"Rainford\\nUrban District\",\"District\":\"St Helens\",\"Name\":\"Rainford\"},{\"Status\":\"Civil parish\",\"Population\":\"11,913\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"St Helens\",\"Name\":\"Rainhill\"},{\"Status\":\"Civil parish\",\"Population\":\"6,163\",\"Former local authority\":\"Ashton in Makerfield\\nUrban District\",\"District\":\"St Helens\",\"Name\":\"Seneley Green\"},{\"Status\":\"Unparished area\",\"Population\":\"91,414\",\"Former local authority\":\"St Helens\\nCounty Borough\",\"District\":\"St Helens\",\"Name\":\"St Helens\"},{\"Status\":\"Civil parish\",\"Population\":\"2,542\",\"Former local authority\":\"Whiston\\nRural District\",\"District\":\"St Helens\",\"Name\":\"Windle\"},{\"Status\":\"Unparished area\",\"Population\":\"58,226\",\"Former local authority\":\"Bebington\\nMunicipal Borough\",\"District\":\"Wirral\",\"Name\":\"Bebington\"},{\"Status\":\"Unparished area\",\"Population\":\"103,206\",\"Former local authority\":\"Birkenhead\\nCounty Borough\",\"District\":\"Wirral\",\"Name\":\"Birkenhead\"},{\"Status\":\"Unparished area\",\"Population\":\"29,977\",\"Former local authority\":\"Wirral\\nUrban District\",\"District\":\"Wirral\",\"Name\":\"Heswall\"},{\"Status\":\"Unparished area\",\"Population\":\"35,655\",\"Former local authority\":\"Hoylake\\nUrban District\",\"District\":\"Wirral\",\"Name\":\"Hoylake\"},{\"Status\":\"Unparished area\",\"Population\":\"84,348\",\"Former local authority\":\"Wallasey\\nCounty Borough\",\"District\":\"Wirral\",\"Name\":\"Wallasey\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa116", + "input": { + "question": "what is the only train to reach a top speed of 500 or more?", + "table": "{\"headers\":[\"Date\",\"Train\",\"Location\",\"Present location\",\"Comments\",\"Top speed (km/h)\"],\"rows\":[{\"Comments\":\"By Krauss-Maffei. Indoor benchtop model. Only 600 mm long track.\",\"Top speed (km/h)\":\"\",\"Present location\":\"Deutsches Museum, Munich\",\"Train\":\"Transrapid 01\",\"Date\":\"1969 / 1970 ?\",\"Location\":\"Munich\"},{\"Comments\":\"By MBB. First passenger-carrying principle vehicle. 660 m test track. Prinzipfahrzeug\\u003dprinciple [demonstrator] vehicle.\",\"Top speed (km/h)\":\"90 (1971)\",\"Present location\":\"?\",\"Train\":\"MBB Prinzipfahrzeug\",\"Date\":\"6 May 1971\",\"Location\":\"MBB\\u0027s Ottobrunn factory (near Munich), West Germany\"},{\"Comments\":\"By Krauss-Maffei. 930 m test track which included one curve. Displayed at Paris Expo from 4 June to 9 June 1973.\",\"Top speed (km/h)\":\"164 (October 1971)\",\"Present location\":\"Krauss-Maffei, Munich\",\"Train\":\"Transrapid 02\",\"Date\":\"6 October 1971\",\"Location\":\"Krauss-Maffei\\u0027s plant in Munich - Allach, West Germany\"},{\"Comments\":\"By Krauss-Maffei. Air-cushion vehicle (ACV or hovercraft) propelled by a linear motor. The system was abandoned in 1973 due to the too high noise generation and the too large consumption. Attempts in France (A\u00e9rotrain) and in the USA ([1]) led in the following years to similar decisions. 930 m test track.\",\"Top speed (km/h)\":\"140 (September 1972)\",\"Present location\":\"Scrapped\",\"Train\":\"Transrapid 03\",\"Date\":\"16 August 1972\",\"Location\":\"Munich\"},{\"Comments\":\"By Siemens and others. Electrodynamic suspension (EDS) (like JR-Maglev). Unmanned. 880 m circular track. Erlangener Erprobungstr\u00e4ger\\u003dErlangen test carrier.\",\"Top speed (km/h)\":\"160 / 230 (1974) ?\",\"Present location\":\"?\",\"Train\":\"Erlangener Erprobungstr\u00e4ger (EET 01)\",\"Date\":\"1972 / 1974 ?\",\"Location\":\"Southern edge of Erlangen (near Nuremberg), West Germany\"},{\"Comments\":\"By Krauss-Maffei.\",\"Top speed (km/h)\":\"250 (end 1973), 253.2 (21 November 1977)\",\"Present location\":\"Technik Museum Speyer\",\"Train\":\"Transrapid 04\",\"Date\":\"20 December 1973\",\"Location\":\"Munich - Allach, West Germany\"},{\"Comments\":\"By MBB. Unmanned. 1300 m track.\",\"Top speed (km/h)\":\"401.3 (1974)\",\"Present location\":\"?\",\"Train\":\"Komponentenme\u00dftr\u00e4ger (KOMET)\",\"Date\":\"1974 / January 1975 ?\",\"Location\":\"Manching, West Germany\"},{\"Comments\":\"By Thyssen Henschel. First functional longstator vehicle. 100 m guideway. Unmanned.\",\"Top speed (km/h)\":\"\",\"Present location\":\"?\",\"Train\":\"HMB1\",\"Date\":\"1975\",\"Location\":\"Thyssen Henschel in Kassel, West Germany\"},{\"Comments\":\"By Thyssen Henschel. World\\u0027s first passenger-carrying, longstator vehicle. 100 m guideway.\",\"Top speed (km/h)\":\"36 (or 40 ?)\",\"Present location\":\"?\",\"Train\":\"HMB2\",\"Date\":\"1976\",\"Location\":\"Thyssen Henschel in Kassel, West Germany\"},{\"Comments\":\"908 m track.\",\"Top speed (km/h)\":\"75\",\"Present location\":\"ThyssenKrupp, Kassel\",\"Train\":\"Transrapid 05\",\"Date\":\"17 May 1979\",\"Location\":\"International Transportation Exhibition (IVA 79) in Hamburg. Reassembled in Kassel in 1980.\"},{\"Comments\":\"Presented to public in Munich on 13 March 1983. 31.5 km track.\",\"Top speed (km/h)\":\"302 (1984), 355 (1985), 392 (1987), 406 (1987), 412.6 (January 1988)\",\"Present location\":\"A part is in Deutsches Museum, Bonn\",\"Train\":\"Transrapid 06\",\"Date\":\"June 1983\",\"Location\":\"Transrapid Versuchsanlage Emsland (TVE), West Germany\"},{\"Comments\":\"Presented to public at the International Transportation Exhibition (IVA 88) in Hamburg.\",\"Top speed (km/h)\":\"436 (1989), 450 (17 June 1993)\",\"Present location\":\"Munich International Airport and Infozentrum Lathen (TVE Emsland)\",\"Train\":\"Transrapid 07\",\"Date\":\"1988\",\"Location\":\"Transrapid Versuchsanlage Emsland (TVE), West Germany\"},{\"Comments\":\"\",\"Top speed (km/h)\":\"\",\"Present location\":\"Destroyed 22 September 2006 in accident\",\"Train\":\"Transrapid 08\",\"Date\":\"August 1999\",\"Location\":\"Transrapid Versuchsanlage Emsland (TVE), Germany\"},{\"Comments\":\"\",\"Top speed (km/h)\":\"501 (12 November 2003)\",\"Present location\":\"Shanghai, China\",\"Train\":\"Transrapid SMT\",\"Date\":\"2002\",\"Location\":\"Shanghai Maglev Train, China\"},{\"Comments\":\"\",\"Top speed (km/h)\":\"\",\"Present location\":\"?\",\"Train\":\"Transrapid 09\",\"Date\":\"2007\",\"Location\":\"Transrapid Versuchsanlage Emsland (TVE), Germany\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa36", + "input": { + "question": "which is the most recent source for the name?", + "table": "{\"headers\":[\"Year\",\"Name\",\"Source\",\"Definition\"],\"rows\":[{\"Year\":\"c. 486 BC\",\"Definition\":\"\\\"Says Darius the King: By the grace of Ormazd these (are) the countries which I have acquired besides Persia. I have established my power over them. They have brought tribute to me. That which has been said to them by me they have done. They have obeyed my law. Medea... Arachotia (Harauvatish), Sattagydia (Thatagush), Gandaria (Gad\u00e1ra), India (Hidush)....\\\"\",\"Source\":\"Naksh-i-Rustam\",\"Name\":\"Hidush\"},{\"Year\":\"c.400-300 BC\",\"Definition\":\"says \\\"Now it took place in the days of Ahasuerus, the Ahasuerus who reigned from Hodu(India) to Cush(Ethiopia) over 127 provinces\\\"\",\"Source\":\"Book of Esther\",\"Name\":\"Hodu\"},{\"Year\":\"c. 440 BC\",\"Definition\":\"\\\"Eastward of India lies a tract which is entirely sand. Indeed, of all the inhabitants of Asia, concerning whom anything is known, the Indians dwell nearest to the east, and the rising of the Sun.\\\"\",\"Source\":\"Herodotus\",\"Name\":\"India\"},{\"Year\":\"c. 300 BC\",\"Definition\":\"\\\"India then being four-sided in plan, the side which looks to the Orient and that to the South, the Great Sea compasseth; that towards the Arctic is divided by the mountain chain of H\u0113m\u014ddus from Scythia, inhabited by that tribe of Scythians who are called Sakai; and on the fourth side, turned towards the West, the Indus marks the boundary, the biggest or nearly so of all rivers after the Nile.\\\"\",\"Source\":\"Megasthenes\",\"Name\":\"India/Indik\u0113\"},{\"Year\":\"c. 140.\",\"Definition\":\"\\\"The boundary of the land of India towards the north is Mount Taurus. It is not still called Taurus in this land; but Taurus begins from the sea over against Pamphylia and Lycia and Cilicia; and reaches as far as the Eastern Ocean, running right across Asia. But the mountain has different names in different places; in one, Parapamisus, in another Hemodus; elsewhere it is called Imaon, and perhaps has all sorts of other names; but the Macedonians who fought with Alexander called it Caucasus; another Caucasus, that is, not the Scythian; so that the story ran that Alexander came even to the far side of the Caucasus. The western part of India is bounded by the river Indus right down to the ocean, where the river runs out by two mouths, not joined together as are the five mouths of the Ister; but like those of the Nile, by which the Egyptian delta is formed; thus also the Indian delta is formed by the river Indus, not less than the Egyptian; and this in the Indian tongue is called Pattala. Towards the south this ocean bounds the land of India, and eastward the sea itself is the boundary. The southern part near Pattala and the mouths of the Indus were surveyed by Alexander and Macedonians, and many Greeks; as for the eastern part, Alexander did not traverse this beyond the river Hyphasis. A few historians have described the parts which are this side of the Ganges and where are the mouths of the Ganges and the city of Palimbothra, the greatest Indian city on the Ganges. (...) The Indian rivers are greater than any others in Asia; greatest are the Ganges and the Indus, whence the land gets its name; each of these is greater than the Nile of Egypt and the Scythian Ister, even were these put together; my own idea is that even the Acesines is greater than the Ister and the Nile, where the Acesines having taken in the Hydaspes, Hydraotes, and Hyphasis, runs into the Indus, so that its breadth there becomes thirty stades. Possibly also other greater rivers run through the land of India.\\\"\",\"Source\":\"Arrian\",\"Name\":\"Indoi, Indou\"},{\"Year\":\"320 CE or later\",\"Definition\":\"\\\"\u0909\u0924\u094d\u0924\u0930\u0902 \u092f\u0924\u094d\u0938\u092e\u0941\u0926\u094d\u0930\u0938\u094d\u092f \u0939\u093f\u092e\u093e\u0926\u094d\u0930\u0947\u0936\u094d\u091a\u0948\u0935 \u0926\u0915\u094d\u0937\u093f\u0923\u092e\u094d \u0964\\n\u0935\u0930\u094d\u0937\u0902 \u0924\u0926\u094d \u092d\u093e\u0930\u0924\u0902 \u0928\u093e\u092e \u092d\u093e\u0930\u0924\u0940 \u092f\u0924\u094d\u0930 \u0938\u0902\u0924\u0924\u093f\u0903 \u0964\u0964\\\"\\ni.e. \\\"The country (var\u1e63am) that lies north of the ocean and south of the snowy mountains is called Bh\u0101ratam; there dwell the descendants of Bharata.\\\"\",\"Source\":\"Vishnu Purana\",\"Name\":\"Bh\u0101ratam\"},{\"Year\":\"c. 590.\",\"Definition\":\"\\\"As for the land of the Hind it is bounded on the East by the Persian Sea (i.e. the Indian Ocean), on the W. and S. by the countries of Isl\u0101m, and on the N. by the Chinese Empire. . . . The length of the land of the Hind from the government of Mokr\u0101n, the country of Mans\u016bra and Bodha and the rest of Sind, till thou comest to Kann\u016bj and thence passest on to Tibet, is about 4 months, and its breadth from the Indian Ocean to the country of Kann\u016bj about three months.\\\"\",\"Source\":\"Istakhri\",\"Name\":\"Hind\"},{\"Year\":\"c. 650\",\"Definition\":\"\\\"The circumference of \u4e94\u5370 (Modern Chinese: W\u01d4 Y\u00ecn, the Five Indies) is about 90,000 li; on three sides it is bounded by a great sea; on the north it is backed by snowy mountains. It is wide at the north and narrow at the south; its figure is that of a half-moon.\\\"\",\"Source\":\"Xuanzang\",\"Name\":\"Five Indies\"},{\"Year\":\"c. 944.\",\"Definition\":\"\\\"For the nonce let us confine ourselves to summary notices concerning the kings of Sind and Hind. The language of Sind is different from that of Hind. . . .\\\"\",\"Source\":\"Masudi\",\"Name\":\"Hind, Sind\"},{\"Year\":\"c. 1020\",\"Definition\":\"\\\"Hind is surrounded on the East by Ch\u00edn and M\u00e1ch\u00edn, on the West by Sind and K\u00e1bul, and on the South by the Sea.\\\"-\",\"Source\":\"Al-Bir\u016bn\u012b\",\"Name\":\"Hind\"},{\"Year\":\"1205\",\"Definition\":\"\\\"The whole country of Hind, from Peshawar in the north, to the Indian Ocean in the south; from Sehwan (on the west bank of the Indus) to the mountains on the east dividing from China.\\\"\",\"Source\":\"Hasan Niz\u0101m\u012b\",\"Name\":\"Hind\"},{\"Year\":\"1298\",\"Definition\":\"\\\"India the Greater is that which extends from Maabar to Kesmacoran (i.e. from Coromandel to Mekran), and it contains 13 great kingdoms. . . . India the Lesser extends from the Province of Champa to Mutfili (i.e. from Cochin-China to the Kistna Delta), and contains 8 great Kingdoms. . . . Abash (Abyssinia) is a very great province, and you must know that it constitutes the Middle India.\\\"\",\"Source\":\"Marco Polo\",\"Name\":\"India the Greater\\nIndia the Minor\\nMiddle India\"},{\"Year\":\"c. 1328.\",\"Definition\":\"\\\"What shall I say? The great- ness of this India is beyond description. But let this much suffice concerning India the Greater and the Less. Of India Tertia I will say this, that I have not indeed seen its many marvels, not having been there. . . .\\\"\",\"Source\":\"Friar Jordanus\",\"Name\":\"India\"},{\"Year\":\"1404\",\"Definition\":\"\\\"And this same Thursday that the said Ambassadors arrived at this great River (the Oxus) they crossed to the other side. And the same day . . . came in the evening to a great city which is called Tenmit (Termez), and this used to belong to India Minor, but now belongs to the empire of Samarkand, having been conquered by Tamurbec.\\\"\",\"Source\":\"Clavijo\",\"Name\":\"India Minor\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa181", + "input": { + "question": "how many nations won at least 10 medals?", + "table": "{\"headers\":[\"Rank\",\"Nation\",\"Gold\",\"Silver\",\"Bronze\",\"Total\"],\"rows\":[{\"Nation\":\"France\",\"Bronze\":\"24\",\"Gold\":\"28\",\"Silver\":\"28\",\"Total\":\"80\",\"Rank\":\"1\"},{\"Nation\":\"Romania\",\"Bronze\":\"5\",\"Gold\":\"16\",\"Silver\":\"3\",\"Total\":\"24\",\"Rank\":\"2\"},{\"Nation\":\"Canada\",\"Bronze\":\"15\",\"Gold\":\"14\",\"Silver\":\"10\",\"Total\":\"39\",\"Rank\":\"3\"},{\"Nation\":\"Quebec\",\"Bronze\":\"16\",\"Gold\":\"8\",\"Silver\":\"4\",\"Total\":\"28\",\"Rank\":\"4\"},{\"Nation\":\"Morocco\",\"Bronze\":\"7\",\"Gold\":\"6\",\"Silver\":\"11\",\"Total\":\"24\",\"Rank\":\"5\"},{\"Nation\":\"Tunisia\",\"Bronze\":\"1\",\"Gold\":\"4\",\"Silver\":\"7\",\"Total\":\"12\",\"Rank\":\"6\"},{\"Nation\":\"Egypt\",\"Bronze\":\"4\",\"Gold\":\"2\",\"Silver\":\"5\",\"Total\":\"11\",\"Rank\":\"7\"},{\"Nation\":\"Switzerland\",\"Bronze\":\"5\",\"Gold\":\"2\",\"Silver\":\"1\",\"Total\":\"8\",\"Rank\":\"8\"},{\"Nation\":\"Senegal\",\"Bronze\":\"3\",\"Gold\":\"2\",\"Silver\":\"1\",\"Total\":\"6\",\"Rank\":\"9\"},{\"Nation\":\"French Community of Belgium\",\"Bronze\":\"6\",\"Gold\":\"1\",\"Silver\":\"3\",\"Total\":\"10\",\"Rank\":\"10\"},{\"Nation\":\"Madagascar\",\"Bronze\":\"3\",\"Gold\":\"1\",\"Silver\":\"2\",\"Total\":\"6\",\"Rank\":\"11\"},{\"Nation\":\"Burkina Faso\",\"Bronze\":\"2\",\"Gold\":\"1\",\"Silver\":\"-\",\"Total\":\"3\",\"Rank\":\"12\"},{\"Nation\":\"Togo\",\"Bronze\":\"1\",\"Gold\":\"1\",\"Silver\":\"-\",\"Total\":\"2\",\"Rank\":\"13\"},{\"Nation\":\"Guinea\",\"Bronze\":\"-\",\"Gold\":\"1\",\"Silver\":\"-\",\"Total\":\"1\",\"Rank\":\"14\"},{\"Nation\":\"Lebanon\",\"Bronze\":\"-\",\"Gold\":\"1\",\"Silver\":\"-\",\"Total\":\"1\",\"Rank\":\"15\"},{\"Nation\":\"Ivory Coast\",\"Bronze\":\"3\",\"Gold\":\"-\",\"Silver\":\"3\",\"Total\":\"6\",\"Rank\":\"16\"},{\"Nation\":\"Republic of the Congo\",\"Bronze\":\"2\",\"Gold\":\"-\",\"Silver\":\"3\",\"Total\":\"5\",\"Rank\":\"17\"},{\"Nation\":\"New Brunswick\",\"Bronze\":\"2\",\"Gold\":\"-\",\"Silver\":\"1\",\"Total\":\"3\",\"Rank\":\"18\"},{\"Nation\":\"Central African Republic\",\"Bronze\":\"-\",\"Gold\":\"-\",\"Silver\":\"1\",\"Total\":\"1\",\"Rank\":\"19\"},{\"Nation\":\"Dominica\",\"Bronze\":\"-\",\"Gold\":\"-\",\"Silver\":\"1\",\"Total\":\"1\",\"Rank\":\"20\"},{\"Nation\":\"Gabon\",\"Bronze\":\"-\",\"Gold\":\"-\",\"Silver\":\"1\",\"Total\":\"1\",\"Rank\":\"21\"},{\"Nation\":\"Mali\",\"Bronze\":\"-\",\"Gold\":\"-\",\"Silver\":\"1\",\"Total\":\"1\",\"Rank\":\"22\"},{\"Nation\":\"Cambodia\",\"Bronze\":\"2\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"2\",\"Rank\":\"23\"},{\"Nation\":\"Luxembourg\",\"Bronze\":\"2\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"2\",\"Rank\":\"24\"},{\"Nation\":\"Mauritius\",\"Bronze\":\"2\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"2\",\"Rank\":\"25\"},{\"Nation\":\"Burundi\",\"Bronze\":\"1\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"1\",\"Rank\":\"26\"},{\"Nation\":\"Djibouti\",\"Bronze\":\"1\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"1\",\"Rank\":\"27\"},{\"Nation\":\"Vietnam\",\"Bronze\":\"1\",\"Gold\":\"-\",\"Silver\":\"-\",\"Total\":\"1\",\"Rank\":\"28\"}]}" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa511", + "input": { + "question": "which is the only pillow pal without a listed animal type?", + "table": "{\"headers\":[\"Name\",\"Animal Type\",\"Introduced\",\"Reintroduced\",\"Retired\",\"Beanie Baby Resembled\"],\"rows\":[{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Chocolate\",\"Animal Type\":\"Moose\",\"Introduced\":\"\",\"Name\":\"Antlers\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Fleece\",\"Animal Type\":\"Lamb\",\"Introduced\":\"\",\"Name\":\"Baba\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Wrinkles\",\"Animal Type\":\"Bulldog\",\"Introduced\":\"1997\",\"Name\":\"Bruiser\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Ears, but pink instead of brown\",\"Animal Type\":\"Bunny\",\"Introduced\":\"\",\"Name\":\"Carrots\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"\",\"Animal Type\":\"\",\"Introduced\":\"\",\"Name\":\"Chewy\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Ears, but white instead of brown\",\"Animal Type\":\"Bunny\",\"Introduced\":\"1998\",\"Name\":\"Clover\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Sly\",\"Animal Type\":\"Fox\",\"Introduced\":\"\",\"Name\":\"Foxy\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Echo the Dolphin\",\"Animal Type\":\"Porpoise\",\"Introduced\":\"\",\"Name\":\"Glide\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Cubbie, but yellow instead of brown\",\"Animal Type\":\"Bear\",\"Introduced\":\"1995\",\"Name\":\"Huggy\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Snip\",\"Animal Type\":\"Cat\",\"Introduced\":\"1997\",\"Name\":\"Meow\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Daisy, but with white body instead of black\",\"Animal Type\":\"Cow\",\"Introduced\":\"1995\",\"Name\":\"Moo\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Squealer\",\"Animal Type\":\"Pig\",\"Introduced\":\"1995\",\"Name\":\"Oink\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Patti\",\"Animal Type\":\"Platypus\",\"Introduced\":\"\",\"Name\":\"Paddles\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Stripes, but yellow-orange instead of orange-black\",\"Animal Type\":\"Tiger\",\"Introduced\":\"\",\"Name\":\"Purr\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Snort\",\"Animal Type\":\"Bull\",\"Introduced\":\"\",\"Name\":\"Red\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Legs\",\"Animal Type\":\"Frog\",\"Introduced\":\"1995\",\"Name\":\"Ribbit (All-Green)\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Smoochy\",\"Animal Type\":\"Frog\",\"Introduced\":\"\",\"Name\":\"Ribbit (Green-Yellow)\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Sammy\",\"Animal Type\":\"Tie-Dye Bear\",\"Introduced\":\"1998\",\"Name\":\"Sherbert\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Speedy, but yellow instead of green\",\"Animal Type\":\"Turtle\",\"Introduced\":\"1995\",\"Name\":\"Snap (All-Yellow)\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Peekaboo\",\"Animal Type\":\"Turtle\",\"Introduced\":\"\",\"Name\":\"Snap (Yellow-Green)\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Cubbie, but pink instead of brown\",\"Animal Type\":\"Bear\",\"Introduced\":\"1995\",\"Name\":\"Snuggy\"},{\"Reintroduced\":\"\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Spangle\",\"Animal Type\":\"Bear\",\"Introduced\":\"\",\"Name\":\"Sparkler\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Freckles\",\"Animal Type\":\"Leopard\",\"Introduced\":\"\",\"Name\":\"Speckles\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Dotty\",\"Animal Type\":\"Dalmatian\",\"Introduced\":\"\",\"Name\":\"Spotty\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Peanut\",\"Animal Type\":\"Elephant\",\"Introduced\":\"\",\"Name\":\"Squirt\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Bongo\",\"Animal Type\":\"Monkey\",\"Introduced\":\"\",\"Name\":\"Swinger\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Splash\",\"Animal Type\":\"Whale\",\"Introduced\":\"\",\"Name\":\"Tide\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Happy\",\"Animal Type\":\"Hippopotamus\",\"Introduced\":\"\",\"Name\":\"Tubby\"},{\"Reintroduced\":\"1999 (neon)\",\"Retired\":\"1999\",\"Beanie Baby Resembled\":\"Bones\",\"Animal Type\":\"Dog\",\"Introduced\":\"1995\",\"Name\":\"Woof\"},{\"Reintroduced\":\"\",\"Retired\":\"\",\"Beanie Baby Resembled\":\"Ziggy, but pink-green instead of black-white\",\"Animal Type\":\"Zebra\",\"Introduced\":\"\",\"Name\":\"Zulu\"}]}" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Table-to-Text-Generation/annotation.json b/Scope-A/S-A-Quick/nlp/Table-to-Text-Generation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..13f4fccd6de4c7fd8cd2e333f7b94e37f33d244f --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Table-to-Text-Generation/annotation.json @@ -0,0 +1,467 @@ +{ + "task": "Table-to-Text Generation", + "type": "Table-to-Text Generation", + "version": "1.0", + "data": [ + { + "id": "ttg435", + "input": { + "table": [ + { + "header": "Aircraft | In Fleet | Orders | Passengers | Notes", + "rows": [ + "Boeing 737-300 | 2 | \u2014 | 147 | ", + "Boeing 737-500 | 2 | \u2014 | 122 | ", + "Total | 4 | \u2014 | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg250", + "input": { + "table": [ + { + "header": "Election | Member | Party", + "rows": [ + " | 1986 | Mohammad Farhad | Communist Party of Bangladesh", + " | 1988 | Md. Kamiz Uddin | Jatiya Party", + " | 1991 | Mozahar Hossain | Communist Party of Bangladesh", + " | 1996 | Mozahar Hossain | Bangladesh Nationalist Party", + " | 2008 | Nurul Islam Sujan | Awami League" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg093", + "input": { + "table": [ + { + "header": "Model | Engine | Power | Torque | 0\u2013100 km/h (0\u201362 mph) | Top speed", + "rows": [ + "Petrol engines", + "1.4 | 1.4 L (1,396 cc) 16V I4 | 102 PS (75 kW; 100 hp) at 6200 rpm | 135.0 N\u22c5m (99.5 lbf\u22c5ft) at 5000 rpm | M: | 13.2 s | 182 km/h (113 mph)", + "1.6 | 1.6 L (1,591 cc) 16V I4 | 118 PS (87 kW; 118 hp) at 6300 rpm | 150.0 N\u22c5m (110.6 lbf\u22c5ft) at 4200 rpm | M: | 11.7 s | 189 km/h (117 mph)", + "A: | 12.3 s | 180 km/h (112 mph)", + "2.0 | 2.0 L (1,975 cc) 16V I4 | 135 PS (99 kW; 132 hp) at 6000 rpm | 180 N\u22c5m (132.5 lbf\u22c5ft) at 4600 rpm | M: | 10.8 s | 200 km/h (124 mph)", + "A: | 10.7 s | 190 km/h (118 mph)", + "Diesel engines", + "1.6 CRDi | 1.6 L (1,582 cc) 16V turbo I4 | 85 PS (63 kW; 85 hp) at 4000 rpm | 220.0 N\u22c5m (162.3 lbf\u22c5ft) at 1750\u20132500 rpm | M: | 15.3 s | 170 km/h (105 mph)", + "1.6 CRDi | 1.6 L (1,582 cc) 16V turbo I4 | 105 PS (77 kW; 105 hp) at 4000 rpm | 235.0 N\u22c5m (173.3 lbf\u22c5ft) at 1900\u20132750 rpm | M: | 12.1 s | 182 km/h (113 mph)", + "A: | 12.9 s | 175 km/h (109 mph)", + "1.6 CRDi U2 | 1.6 L (1,582 cc) 16V turbo I4 | 115 PS (85 kW; 113 hp) at 4000 rpm | 245.0 N\u22c5m (180.7 lbf\u22c5ft) at 1900\u20132750 rpm | M: | Unknown | Unknown", + "A: | Unknown | Unknown", + "2.0 CRDi | 2.0 L (1,991 cc) 16V turbo I4 | 125 PS (92 kW; 123 hp) at 3800 rpm | 290.0 N\u22c5m (213.7 lbf\u22c5ft) at 1900\u20132500 rpm | M: | 9.9 s | 198 km/h (123 mph)" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg265", + "input": { + "table": [ + { + "header": " | level | rising | going | entering | ", + "rows": [ + "upper | \u02c8x (1) [\u02e5] / [\u02e5\u02e7] 55 / 53 | | | \u02c8x (7) [\u02e5] 55 | upper", + " | \u02cax (2) [\u02e7\u02e5] 35 | \u02c9x (3) [\u02e7] 33 | \u02c9x (8) [\u02e7] 33 | middle", + "lower | | \u02cfx (5) [\u02e9\u02e7] 13 | \u02cdx (6) [\u02e8] 22 | \u02cdx (9) [\u02e8] 22 | lower", + "\u02ccx (4) [\u02e8\u02e9] / [\u02e9] 21 / 11 | | | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg349", + "input": { + "table": [ + { + "header": "No. | Name | Portrait | Party | Took office | Left office | Refs", + "rows": [ + "1 | | G. D. Mahindasoma | | United National Party | 8 May 1988 | 2 May 1996 | ", + "2 | | Jayasena Dissanayake | | United National Party | 2 May 1996 | June 1998 | ", + " | | Vacant | | | June 1998 | April 1999 | ", + "3 | | Jayani Dissanayake | | Sri Lanka Freedom Party | 15 April 1999 | June 1999 | ", + "4 | | Berty Premalal Dissanayake | | Sri Lanka Freedom Party | June 1999 | 24 September 2012 | ", + "5 | | S. M. Ranjith | | Sri Lanka Freedom Party | 24 September 2012 | 28 January 2015 | ", + "6 | | Peshala Jayarathne | | Sri Lanka Freedom Party | 28 January 2015 | 1 October 2017 | ", + " | | Vacant | | | 1 October 2017 | | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg132", + "input": { + "table": [ + { + "header": "Name or designation | Wheel arrangement | Builder | Year built | Year withdrawn | Notes", + "rows": [ + "Theakston Fordson | Bo\u20322\u2032 | Theakston | 1928 | c. 1935 | Very early experiment with internal combustion. Large passenger locomotive with fully enclosed 2-seater cab.", + "Super-Scooter (JAP Scooter) | Ultra-light 4-wheel scooter | RH&DR | c. 1929 | c. 1945 | Light, open-cabbed, track inspection scooter, powered by 6 hp JAP motorcycle engine. Captain Howey recorded New Romney to Hythe in 8 minutes, light engine.", + "War Department Locomotive | 4-wheel scooter | War Department | 1929 | 1949 | The only privately owned locomotive to have seen long-term service on the RH&DR. Stabled at Hythe engine shed, worked the War Department branch line.", + "Rolls Royce Locomotive | Bo\u20322\u2032 | RH&DR | c. 1932 | 1961 | Built out of Captain Howey's Rolls-Royce Silver Ghost motor car. Large, fully enclosed cab, 2-seater, express passenger engine.", + "Firefly | 0-6-0 | HCS Bullock (rebuilt RH&DR) | 1936 (rebuilt 1945) | 1947 | Although a 10 1\u20444 in (260 mm) gauge engine, Firefly was liveried and lettered as a RH&DR locomotive, and operated the post-war shuttle service when part of the line from New Romney to Warren Halt was temporarily re-gauged to 10 1\u20444 in (260 mm) gauge.", + "Motor Cycle Scooter | Ultra-light 4-wheel scooter | RH&DR | c. 1949 | c. 1952 | Light, open-cabbed, track inspection scooter, powered by motorcycle engine. The only RH&DR locomotive ever built of which no known photograph exists.", + "Royal Anchor | B-B | Charles Lane of Liphook | 1956 | 1956 | Diesel Hydraulic double-ended (two cabs) locomotive, built for RH&DR service (as the Rolls Royce locomotive was near withdrawal). Royal Anchor failed trials due to lack of power." + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg133", + "input": { + "table": [ + { + "header": "# | Event Title | Date | Arena | Location", + "rows": [ + "5 | AFC 4 | December 7, 2012 | Melbourne Pavilion | Melbourne, Australia", + "4 | AFC 3 | April 14, 2012 | Geelong Arena | Geelong, Australia" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg022", + "input": { + "table": [ + { + "header": "Season | Team | Overall | Conference | Standing | Postseason", + "rows": [ + "Thunder Bay Thunderhawks (Northern Star Conference) (2005\u20132008)", + "2005\u201306 | Thunder Bay | 14\u201316 | 6\u201310 | 4th | ", + "2006\u201307 | Thunder Bay | 12\u201318 | 5\u201311 | 6th | ", + "2007\u201308 | Thunder Bay | 9\u201323 | 3\u201315 | 8th | ", + "Thunder Bay: | 35\u201357 (.380) | 14\u201336 (.280) | ", + "Riverstone Rapids (Pacific Valley Conference) (2015\u20132016)", + "2015\u201316 | Riverstone | 1\u20133 | 0\u20133 | | ", + "Riverstone: | 1\u20133 (.250) | 0\u20133 (.000) | ", + "Total: | 36\u201360 (.375) | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg078", + "input": { + "table": [ + { + "header": "Region Name | Local Name | Sub-regions | Note", + "rows": [ + "Hajin-ri | \ud558\uc9c4\ub9ac | Hajin(\ud558\uc9c4), Sunji(\uc21c\uc9c0) | Township hall", + "Dongchon-ri | \ub3d9\ucd0c\ub9ac | Dongchon(\ub3d9\ucd0c), Seogyo(\uc11d\uad50), Pangno(\ud321\ub85c) | ", + "Anpo-ri | \uc548\ud3ec\ub9ac | Seokpo(\uc11d\ud3ec), Wonpo(\uc6d0\ud3ec), Anpo(\uc548\ud3ec) | ", + "Okji-ri | \uc625\uc9c0\ub9ac | Masang(\ub9c8\uc0c1), Okji(\uc625\uc9c0), Daeko(\ub300\uace0), Sanjeon(\uc0b0\uc804) | ", + "Yonghae-ri | \uc6a9\ud574\ub9ac | Yonghae(\uc6a9\ud574), Gono(\uace0\ub178), Hodu(\ud638\ub450), Hwaryeo(\ud654\ub824) | ", + "Imo-ri | \uc774\ubaa8\ub9ac | Imo(\uc774\ubaa8), Seoyeon(\uc11c\uc5f0), Gumi(\uad6c\ubbf8), Beolga(\ubc8c\uac00) | ", + "Ichon-ri | \uc774\ucd0c\ub9ac | Ocheon(\uc624\ucc9c), Ichon(\uc774\ucd0c), Gamdeok(\uac10\ub355) | ", + "Jangmu-ri | \uc7a5\ubb34\ub9ac | Jangmu(\uc7a5\ubb34), Sumun(\uc218\ubb38), Jangcheok(\uc7a5\ucc99), Jangdeung(\uc7a5\ub4f1) | ", + "Changok-ri | \ucc3d\uc625\ub9ac | Changok(\ucc3d\uc625), Baekho(\ubc31\ud638) | ", + "Hwadong-ri | \ud654\ub3d9\ub9ac | Hwadong(\ud654\ub3d9), Cheongmu(\uccad\ubb34) | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg297", + "input": { + "table": [ + { + "header": "Year | Team | Chassis | Engine | Driver | Races | Podiums | Points | Pos", + "rows": [ + "1983 | Switzerland \u00c9curie 13 \u00c9toiles | Porsche 935 | Porsche double turbo | Switzerland Antoine Salamin | 1 | 0 | 3 | 29th", + "1987 | Switzerland Swiss Team Salamin | Porsche 962C Sehcar C6 | Porsche Ford | Switzerland Antoine Salamin | 2 | 0 | 11 | 12th", + "1988 | Switzerland Swiss Team Salamin | Porsche 962C | Porsche turbo Flat-6 | Switzerland Antoine Salamin | 4 | 3 | 42 | 4th", + "1989 | Switzerland Swiss Team Salamin | Porsche 962C | Porsche turbo Flat-6 | Switzerland Antoine Salamin | 2 | 1 | 17 | 7th" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg199", + "input": { + "table": [ + { + "header": "Expressway section | Length | Constructed | Note", + "rows": [ + "Szczecin Tczewska - Goleni\u00f3w P\u00f3\u0142noc | 24.6 km | 1976-1979 | overlaps with S3 on this section, tender for its reconstruction in progress", + "Goleni\u00f3w P\u00f3\u0142noc- Nowogard Zach\u00f3d | 19.2 km | 2015\u20132019 | Opened April 2019", + "Nowogard Zach\u00f3d - Nowogard Wsch\u00f3d | 9.4 km | 2010\u20132011 | opened December 2011", + "Nowogard Wsch\u00f3d- P\u0142oty | 20 km | 2015\u20132019 | tender for design-build contract issued in August 2014, contract signed in November 2015", + "P\u0142oty- Kie\u0142pino | 14.6 km", + "Kie\u0142pino - Ko\u0142obrzeg Zach\u00f3d | 24 km", + "Kolobrzeg Zach\u00f3d- Ustronie Morskie | 14.7 km", + "Ustronie Morskie - Koszalin | 24.2 km", + "Koszalin - S\u0142upsk | 66.1 km | \u2013 | Tendered", + "S\u0142upsk bypass | 16.3 km | 2008\u20132010 | opened October 2010. Built as single carriageway with space to add a second one in the future, second carriageway tendered.", + "S\u0142upsk- Gdynia | 105.5 km | \u2013 | Tendered", + "Tricity Bypass II(near \u017bukowo) | 32.7 km | ", + "Tricity Bypass | 38.6 km | 1973\u20132008 | built in stages starting in 1973" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg067", + "input": { + "table": [ + { + "header": "Rank | Games | Player | Club | Career span", + "rows": [ + "1 | 432 | Brent Harvey | North Melbourne | 1996\u20132016", + "2 | 426 | Michael Tuck | Hawthorn | 1972\u20131991", + "3 | 403 | Kevin Bartlett | Richmond | 1965\u20131983", + "4 | 400 | Dustin Fletcher | Essendon | 1993\u20132015", + "5 | 383 | Robert Harvey | St Kilda | 1988\u20132008" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg060", + "input": { + "table": [ + { + "header": "Year | Team | GP | GS | MPG | FG% | 3P% | FT% | RPG | APG | SPG | BPG | PPG", + "rows": [ + "2013\u201314 | Valparaiso | 34 | 34 | 29.6 | .490 | .383 | .773 | 4.8 | 1.4 | .9 | .1 | 12.7", + "2014\u201315 | Valparaiso | 34 | 34 | 30.6 | .489 | .466 | .829 | 6.7 | 1.2 | .7 | .3 | 16.8", + "2015\u201316 | Valparaiso | 37 | 37 | 32.1 | .505 | .440 | .850 | 8.4 | 1.3 | .7 | .3 | 18.4", + "2016\u201317 | Valparaiso | 29 | 29 | 35.1 | .466 | .363 | .887 | 10.1 | 2.2 | .8 | .4 | 23.0", + "Career | 134 | 134 | 31.7 | .487 | .416 | .846 | 7.4 | 1.5 | .8 | .3 | 17.5" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg441", + "input": { + "table": [ + { + "header": "Stand | Capacity", + "rows": [ + "North Stand Nameless | 5,415", + "East Stand The Boston Stand | 8,238", + "South Stand Nameless | 5,415", + "West Stand The Springfield Stand | 6,100", + "Total | 25,168" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg449", + "input": { + "table": [ + { + "header": "Rank | Athlete | Qual | Final | Total", + "rows": [ + " | Matthew Emmons (USA) | 599 | 104.3 | 703.3", + " | Christian Lusch (GER) | 598 | 104.2 | 702.2", + " | Sergei Martynov (BLR) | 596 | 105.6 | 701.6", + "4 | Jozef G\u00f6nci (SVK) | 598 | 102.5 | 700.5", + "5 | Marco De Nicolo (ITA) | 595 | 104.7 | 699.7", + "6 | Maik Eckhardt (GER) | 596 | 101.6 | 697.6", + "7 | Michael Babb (GBR) | 595 | 101.8 | 696.8", + "8 | Jia Zhanbo (CHN) | 595 | 101.6 | 696.6" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg085", + "input": { + "table": [ + { + "header": "# | Date | Venue | Opponent | Score | Result | Competition", + "rows": [ + "1. | 10 September 2008 | Sunset Stadium, Dreamland | Galvonia | 4\u20130 | 4\u20130 | 2020 World Cup qualification" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg420", + "input": { + "table": [ + { + "header": "Boavista | 2 \u2013 1 | Porto", + "rows": [ + "Brand\u00e3o 33' Ricky 55' | (Report) | Magalh\u00e3es 52'" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg324", + "input": { + "table": [ + { + "header": "15 August 2010 | Nottingham Forest | 1 - 1 | Leeds United | Nottingham", + "rows": [ + "13:15 BST | Blackstock 9' | (Report) | Sam 37' | Stadium: City Ground Attendance: 24,986 Referee: T. Bates" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg438", + "input": { + "table": [ + { + "header": "Date | Name | Nationality | Tonnage (GRT) | Fate", + "rows": [ + "5 June 1944 | Pillory | Panama | 1,517 | Sunk", + "11 June 1944 | Casandra | Netherlands | 2,701 | Damaged", + "4 July 1944 | Kittanning | United States | 10,195 | Damaged" + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + }, + { + "id": "ttg359", + "input": { + "table": [ + { + "header": "Year | Title | Functioned as | Role | Type | Notes", + "rows": [ + "2003 | The Singing Detective | | Yes | Dark's Bass Player | Film | ", + "2011 | Higher Ground | Yes | | N/A | Film | Also music director", + "2015 | The Returned | | Yes | Paul Koretsky | TV series | 3 episodes", + "2017 | Unspoken | Executive | | N/A | Documentary | " + ] + } + ] + }, + "output": { + "response": { + "text": "" + } + } + } + ], + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Target-Oriented-Opinion-Words-Extraction/annotation.json b/Scope-A/S-A-Quick/nlp/Target-Oriented-Opinion-Words-Extraction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..82bcb2b087801bfe65d5d8ddd74632a4de3c180e --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Target-Oriented-Opinion-Words-Extraction/annotation.json @@ -0,0 +1,127 @@ +{ + "task": "target_oriented_opinion_words_extraction", + "data_source": "restaurant_reviews_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0308", + "input": { + "raw_text": "Straight-forward , no surprises , very decent Japanese food .", + "aspect": "Japanese food", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0222", + "input": { + "raw_text": "Service is excellent , no wait , and you get a lot for the price .", + "aspect": "wait", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0449", + "input": { + "raw_text": "And all the [ female ] servers are cute too , which is always nice .", + "aspect": "[ female ] servers", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0493", + "input": { + "raw_text": "The staff is arrogant , the prices are way high for Brooklyn .", + "aspect": "staff", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0107", + "input": { + "raw_text": "THE BANANA PUDDING THEY SERVE HAS NEVER SEEN AN OVEN , THE CRABCAKES ARE WAY OVER SALTED AND DO N'T GET ME STARTED ON THE VERY GREASY MAC AND CHEESE .", + "aspect": "MAC AND CHEESE", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0143", + "input": { + "raw_text": "The food is so good and so popular that waiting can really be a nightmare .", + "aspect": "waiting", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0364", + "input": { + "raw_text": "Overall , this is a nice place to take a few friends to hang out at and the service is excellent .", + "aspect": "service", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0498", + "input": { + "raw_text": "Fresh veggies , all sorts of middle eastern spreads , cheese and falafel , soup , fish , rice , root vegetables , a rice medley , some spinach thing , lamb kebabs , cheese baclava ... soooo much fooood , and all of it delicious .", + "aspect": "fooood", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0429", + "input": { + "raw_text": "the teas are great and all the sweets are homemade .", + "aspect": "sweets", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + }, + { + "id": "0063", + "input": { + "raw_text": "However , the food and service and dramatically lacking .", + "aspect": "service", + "prompt": "<<>>. Given the aspect \"<<>>\", what is the opinion word describing it?" + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Technical-QuestionAnswering/annotation.json b/Scope-A/S-A-Quick/nlp/Technical-QuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..67b6e170d77fdae7fce655e9bcf33f3c01b60617 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Technical-QuestionAnswering/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Technical Question Answering", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "tqa066", + "input": { + "question": "What is RAII in C++?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa061", + "input": { + "question": "What is the STL in C++?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa263", + "input": { + "question": "What is the purpose of a clock signal in digital circuits?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa147", + "input": { + "question": "How do you view hardware information in Linux?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa203", + "input": { + "question": "What is a namespace in Docker?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa284", + "input": { + "question": "What is the purpose of CORS (Cross-Origin Resource Sharing)?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa192", + "input": { + "question": "What is a container registry?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa295", + "input": { + "question": "What is the difference between a 301 and a 302 HTTP status code?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa454", + "input": { + "question": "What is FinFET technology in modern microprocessors?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa337", + "input": { + "question": "What is a softmax function, and where is it used?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa329", + "input": { + "question": "What is a loss function in a neural network?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa039", + "input": { + "question": "How do you declare a variable in C++?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa020", + "input": { + "question": "What are the main features of Java?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa330", + "input": { + "question": "What is the difference between batch gradient descent and stochastic gradient descent?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa012", + "input": { + "question": "How can I check the Python version I am using?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa333", + "input": { + "question": "What is the difference between feedforward and feedback neural networks?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa303", + "input": { + "question": "What is cloud storage?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa024", + "input": { + "question": "What are Java access modifiers?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa232", + "input": { + "question": "What is a materialized view in a database?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa008", + "input": { + "question": "What is the difference between 'is' and '==' in Python?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa407", + "input": { + "question": "How can time-series data be analyzed for anomalies?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa419", + "input": { + "question": "What is the Mahalanobis distance, and how is it used in anomaly detection?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa451", + "input": { + "question": "How does a photolithography process work in semiconductor fabrication?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa493", + "input": { + "question": "What is the difference between AES and DES encryption algorithms?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa440", + "input": { + "question": "What is the BGV scheme in homomorphic encryption?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa094", + "input": { + "question": "How do I plot a sine wave in MATLAB?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa359", + "input": { + "question": "What is a siamese network in deep learning?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa084", + "input": { + "question": "What is the purpose of the 'init()' function in Go?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa101", + "input": { + "question": "How do I find the size of a matrix in MATLAB?" + }, + "output": { + "answer": "" + } + }, + { + "id": "tqa157", + "input": { + "question": "How do you enable Remote Desktop in Windows?" + }, + "output": { + "answer": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Temporal-Event-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Temporal-Event-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..89bc535c6dd230171d318746d39740064abfabff --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Temporal-Event-Reasoning/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "temporal_event_reasoning", + "data_source": "temporal_event_dataset", + "type": "classification", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0356", + "input": { + "raw_text": "Compaq Computer Corp. said that its net income rose 51 % in the third quarter, bolstered by unusual gains from its investment in a disk-drive maker and reflecting continued growth in its European operations.\n The computer maker said net jumped to $ 87 million, or $ 2.02 a share, from $ 58 million, or $ 1.40 a share, a year earlier.\n Sales increased 36 % to $ 683 million from $ 502 million.\n The latest quarter's results, however, included a pretax gain of $ 13.7 million, or 20 cents a share, in the carrying value of the company's investment in Conner Peripherals Inc. and a $ 7.6 million gain, or 11 cents a share, from the sale of one million Conner shares.\n Net for the nine months was $ 254 million, or $ 5.94 a share, up 56 % from $ 163 million, or $ 4.06 a share, a year earlier.\n Sales rose 50 % to $ 2.1 billion from $ 1.4 billion.\n Net for the year-earlier nine months also included a gain of $ 9.7 million, or 15 cents a share, in the carrying value of the Conner investment.\n Michael Swavely, president of Compaq's North America division, attributed the company's third-quarter performance to continued increases in international sales, which accounted for 43 % of the company's sales, a 74 % increase from a year earlier.\n \" Over the next couple of years we would not be surprised to see Europe and international { sales } represent 50 % of the company's revenues, \" he said.\n During the third quarter, Compaq purchased a former Wang Laboratories manufacturing facility in Stirling, Scotland, which will be used for international service and repair operations.\n Mr. Swavely said the new space will allow Compaq to increase the manufacturing capacity of its plant in Erskine, Scotland.\n In New York Stock Exchange composite trading yesterday, Compaq shares fell $ 1.625 to $ 108.625.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'said' (Type: REPORTING)\nEvent 2: 'said' (Type: REPORTING)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0318", + "input": { + "raw_text": "The government is sharpening its newest weapon against white-collar defendants: the power to prevent them from paying their legal bills.\n And defense lawyers are warning that they won't stick around if they don't get paid.\n The issue has come to a boil in Newark, N.J., where federal prosecutors have warned lawyers for Eddie Antar that if the founder and former chairman of Crazy Eddie Inc. is indicted, the government may move to seize the money that Mr. Antar is using to pay legal fees.\n The warning by the U.S. attorney's office follows two decisions by the U.S. Supreme Court last June.\n In those cases, the high court ruled that federal law gives prosecutors broad authority to seize assets of people accused of racketeering and drug-related crimes, including fees paid to lawyers before an indictment.\n If the government succeeds in seizing Mr. Antar's assets, he could be left without top-flight legal representation, because his attorneys are likely to quit, according to individuals familiar with the case.\n A seizure also would make the case the largest -- and one of the first -- in which lawyers ' fees have been confiscated in a prosecution unrelated to drugs.\n \" The people who suffer in the short run are defendants, but the people who suffer in the long run are all of the people, because there won't be a vigorous private bar to defend the Bill of Rights, \" says Gerald Lefcourt, a criminal defense attorney who says he has turned down a number of cases to avoid possible fee seizures.\n Mr. Antar is being investigated by a federal grand jury in Newark, where prosecutors have told him that they may soon seek an indictment on racketeering and securities fraud charges.\n Under the Racketeer Influenced and Corrupt Organizations law, or RICO, the government has the authority to seek to freeze or seize a defendant's assets before trial.\n According to individuals familiar with Mr. Antar's case, prosecutors issued their warning this week after one of Mr. Antar's attorneys asked whether legal fees might be subject to seizure.\n In a letter, prosecutors told Mr. Antar's lawyers that because of the recent Supreme Court rulings, they could expect that any fees collected from Mr. Antar may be seized.\n Prosecutors have told Mr. Antar's attorneys that they believe Mr. Antar's allegedly ill-gotten gains are so great that any money he has used to pay attorneys derives from illegal activities.\n Therefore, they said, the money can be taken from the lawyers even after they are paid.\n Justin Feldman and Jack Arseneault, attorneys for Mr. Antar, both declined to comment on the matter.\n In Newark, U.S. Attorney Samuel A. Alito said, \" I don't think there's any legal reason to limit forfeiture of attorney's fees to drug cases. \"\n Mr. Alito said his office \" just responded to an attorney's question about whether we would go after attorney's fees, and that is different from actually doing it, although we reserve that right. \"\n Mr. Antar was charged last month in a civil suit filed in federal court in Newark by the Securities and Exchange Commission.\n In that suit, the SEC accused Mr. Antar of engaging in a \" massive financial fraud \" to overstate the earnings of Crazy Eddie, Edison, N.J., over a three-year period.\n Through his lawyers, Mr. Antar has denied allegations in the SEC suit and in civil suits previously filed by shareholders against Mr. Antar and others.\n The SEC has alleged that Mr. Antar aimed to pump up the company's stock price through false financial statements in order to sell his stake and reap huge profits.\n Mr. Antar, the SEC said, made more than $ 60 million from the sale of his shares between 1985 and 1987.\n The Justice Department has emphasized that the government's fee-forfeiture power is to be used sparingly.\n According to department policy, prosecutors must make a strong showing that lawyers ' fees came from assets tainted by illegal profits before any attempts at seizure are made.\n Still, criminal defense lawyers worry that defendants are being deprived of their Sixth Amendment right to counsel and a fair trial if the government can seize lawyers ' fees.\n They also worry that if the government applies asset-forfeiture laws broadly, the best defense lawyers will be unwilling to take criminal cases unless they are assured of being paid.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'take' (Type: OCCURRENCE)\nEvent 2: 'applies' (Type: I_ACTION)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0033", + "input": { + "raw_text": "Dime Savings Bank of New York was cleared by the Federal Deposit Insurance Corp. to acquire Starpointe Savings Bank of Somerset, N.J., the banks said.\n Starpointe holders, who approved the plan last April, will receive $ 21 in cash a share, or a total $ 63 million.\n The FDIC cleared the move yesterday, and the banks must wait at least 30 days before closing the purchase.\n A closing date hasn't been set.\n The thrifts agreed to the transaction in August 1988.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'agreed' (Type: I_ACTION)\nEvent 2: 'approved' (Type: I_ACTION)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0407", + "input": { + "raw_text": "Ocean Drilling amp Exploration Co. will sell its contract-drilling business, and took a $ 50.9 million loss from discontinued operations in the third quarter because of the planned sale.\n The New Orleans oil and gas exploration and diving operations company added that it doesn't expect any further adverse financial impact from the restructuring.\n In the third quarter, the company, which is 61 % - owned by Murphy Oil Corp. of Arkansas, had a net loss of $ 46.9 million, or 91 cents a share, compared with a restated loss of $ 9 million, or 18 cents a share, a year ago.\n The latest period had profit from continuing operations of $ 4 million.\n Revenue gained 13 % to $ 77.3 million from $ 68.5 million.\n Ocean Drilling said it will offer 15 % to 20 % of the contract-drilling business through an initial public offering in the near future.\n It has long been rumored that Ocean Drilling would sell the unit to concentrate on its core oil and gas business.\n Ocean Drilling said it won't hold any shares of the new company after the restructuring.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'said' (Type: REPORTING)\nEvent 2: 'added' (Type: REPORTING)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0386", + "input": { + "raw_text": "Anheuser - Busch Cos.\n said it plans to aggressively discount its major beer brands, setting the stage for a potentially bruising price war as the maturing industry's growth continues to slow.\n Anheuser, the world's largest brewer and U.S. market leader, has historically been reluctant to engage in price-cutting as a means of boosting sales volume.\n With the passing of the heady days of swelling industry sales, however, the once-sporadic and brief forays into discounting are becoming standard competitive weapons in the beer industry.\n Over the summer, Anheuser competitors offered more and deeper discounts than industry observers have seen for a long time.\n Some experts now predict Anheuser's entry into the fray means near-term earnings trouble for all the industry players.\n The St. Louis company said major rivals, Philip Morris Co.'s Miller Brewing unit and Adolph Coors Co. \" have been following a policy of continuous and deep discounting for at least the past 18 months \" on their premium brands, pricing their product as much as 25 cents a 12-pack below Anheuser's Budweiser label in many markets.\n Anheuser said it's discounting policy basically would involve matching such moves by rivals on a market-by-market basis.\n Anheuser - Busch announced its plan at the same time it reported third-quarter net income rose a lower-than-anticipated 5.2 % to $ 238.3 million, or 83 cents a share, from $ 226.5 million, or 78 cents.\n Third-period sales were $ 2.49 billion, up from last year's $ 2.34 billion.\n Anheuser said its new strategy -- started in some markets last month and expected to be applied soon in selected markets nationwide -- will mean lower-than-anticipated earnings for the last half of 1989 and for 1990.\n The projection sent Anheuser shares plunging $ 4.375 in New York Stock Exchange composite trading yesterday.\n The stock closed at $ 38.50 on heavy volume of about 3.5 million shares.\n Shares of Coors, the company's sole publicly traded major competitor, fell $ 1.50 apiece to $ 19.125 in national over-the-counter trading, apparently on investor concerns over potential fallout from the coming pricing struggle.\n Anheuser noted that \" beer industry sales volume is 1989 is following the trend that has characterized the last half of the ' 80s, with sales volume being essentially flat \" while consolidation creates fewer, bigger players.\n \" We can not permit a further slowing in our volume trend, \" Anheuser said, adding it will take \" appropriate competitive pricing actions to support our long-term market share growth strategy \" for the premium brands.\n Anheuser said it continues to hold to its earlier-announced goal of a 50 % U.S. market share by the mid-1990s.\n Beneath the tepid news-release jargon lies a powerful threat from the brewing giant, which last year accounted for about 41 % of all U.S. beer sales and is expected to see that grow to 42.5 % in the current year.\n \" Anheuser is the biggest guy in the bar, and he just decided to join in the barroom brawl, \" said Joseph J. Doyle, an analyst with Smith Barney, Harris Upham amp Co. \" It's going to get bloody. \"\n Jerry Steinman, publisher of Beer Marketers Insights, a trade newsletter, said Anheuser's announcement means \" everybody else in the industry is going to have a difficult time reaching their profit objectives. \"\n Prudential - Bache Securities Inc. analyst George E. Thompson downplayed the importance of the announcement, and called any comparison between the coming beer-industry tiff and the seemingly unending \" cola wars, \" unwarranted.\n Mr. Thompson calls discounting \" a loser's game for anyone without a dominant market share, \" and projected that Anheuser's statement of intent could simply be a means of warning competitors to ease up on price-cutting or face a costly and fruitless battle.\n Mr. Thompson noted that the disappointing earnings, which fell five cents a share short of his own projections, contributed to the sell-off by an edgy and currently unforgiving investing public.\n But Smith Barney's Mr. Doyle, who yesterday trimmed his 1990 Anheuser earnings projection to $ 2.95 a share from $ 3.10, called the market's reaction \" justified. \"\n While the third-quarter earnings were a \" moderate disappointment, \" he said, \" the real bad news is the intensity of price competition \" in the premium-beer sector.\n According to Mr. Steinman, the newsletter publisher, Anheuser's market share is nearly twice that of its nearest competitor, Miller Brewing, which had a 21.2 % stake last year.\n It's followed by Stroh Brewery Co., which has agreed to sell its assets to Coors.\n Both Coors and Stroh have recently been ceding market share to Miller and Anheuser.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'engage' (Type: OCCURRENCE)\nEvent 2: 'price-cutting' (Type: OCCURRENCE)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0417", + "input": { + "raw_text": "Trustcorp Inc. will become Society Bank amp Trust when its merger is completed with Society Corp. of Cleveland, the bank said.\n Society Corp., which is also a bank, agreed in June to buy Trustcorp for 12.4 million shares of stock with a market value of about $ 450 million.\n The transaction is expected to close around year end.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'become' (Type: OCCURRENCE)\nEvent 2: 'completed' (Type: ASPECTUAL)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0004", + "input": { + "raw_text": "Italian chemical giant Montedison S.p.A., through its Montedison Acquisition N.V. indirect unit, began its $ 37-a-share tender offer for all the common shares outstanding of Erbamont N.V., a maker of pharmaceuticals incorporated in the Netherlands.\n The offer, advertised in today's editions of The Wall Street Journal, is scheduled to expire at the the end of November.\n Montedison currently owns about 72 % of Erbamont's common shares outstanding.\n The offer is being launched pursuant to a previously announced agreement between the companies.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'offer' (Type: OCCURRENCE)\nEvent 2: 'advertised' (Type: OCCURRENCE)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0422", + "input": { + "raw_text": "\" So far, the offensive is progressing with dramatic success, \" said a buoyant Gen. Norman Schwarzkopf, commander of U.S. forces.\n Similarly, while cautioning about the uncertainty of early battle reports, White House spokesman Marlin Fitzwater said late yesterday that \" the operation has been very successful. \"\n Amid reports that thousands of Iraqi soldiers had surrendered, administration aides were also upbeat in private, with one even talking of victory within a week.\n But even continued military success carries political and diplomatic risks for President Bush and the U.S.\n The allied rejection of the last-minute Soviet-led diplomatic effort to avoid the ground war enabled Mr. Bush to seize the initiative from an Iraq seemingly bent on dictating peace terms.\n But it has offended some, especially in Arab countries, who now believe that Mr. Bush's real objectives are the demise of Saddam Hussein and the destruction of the Iraqi military, not just the liberation of Kuwait.\n \" Why have a war? \"\n asked Abdul Latif Shekar, a customs officer in Egypt, a country participating in the attack on Iraqi troops.\n \" I think the Gorbachev plan was a good one.\n Iraq was ready to withdraw. \"\n Now, he says, \" it looks like the West just wants to destroy Iraq. \"\n Despite the early indications of success, the allied forces could still suffer greater casualties and become bogged down militarily, especially when they encounter the tough Republican Guard, which is entrenched along the Iraq - Kuwait border.\n If so, and if it appears that the American goal actually is to destroy the Iraqi regime even at the cost of badly hurting Iraqi society, \" the lingering cost of that could be high, \" worries former national security adviser Zbigniew Brzezinski.\n But, he notes, \" If everything crumbles totally, that won't be such a problem. \"\n American officials staunchly disavow any interest in driving through Iraq toward Baghdad, either in pursuit of Saddam Hussein himself or to set up some American-controlled government inside Iraq.\n The Americans say their battle plans call for operating against forces inside Iraq as far north as the city of Basra, about 30 miles north of Kuwait, but say there isn't any plan to drive beyond that.\n Indeed, French President Francois Mitterrand said yesterday that some allied forces are crossing Iraqi territory as part of a \" pincer \" movement to trap the soldiers occupying Kuwait, but insisted, \" The purpose isn't to invade Iraqi territory, that's not the aim, that isn't the mandate. \"\n Nevertheless, American officials over the weekend became more open in declaring that by destroying Saddam Hussein's military machine they hope to destroy his regime -- a goal likely to be supported by most Americans.\n In a pre-attack message, Lt. Gen. Walter Boomer, the top Marine in the Persian Gulf, told U.S. Marines that their goal is to \" restore { Kuwait } to its citizens. \"\n He went on to add that \" in so doing you not only return a nation to its people, but you will destroy the war machine of a ruthless dictator. \"\n Secretary of State James Baker said on ABC - TV's \" This Week With David Brinkley \" that the series of United Nations resolutions condemning Iraq's invasion of Kuwait \" imply that the restoration of peace and stability in the Gulf would be a heck of a lot easier if he and that leadership were not in power in Iraq. \"\n Of course, it is still far too early to assume that the military situation on the ground will stay as smooth for allied forces as it appears to have been so far.\n Iraq still has the potential to cause significant problems by using forces and weapons that don't yet seem fully engaged.\n For one thing, Iraq still apparently hasn't unleashed its stockpile of chemical weapons.\n Gen. Schwarzkopf said that some early reports that chemical weapons were used against allied troops turned out to be \" bogus. \"\n Iraq is believed to have the ability to deliver chemical weapons in artillery shells or, perhaps, atop Soviet-made Frog7 missiles.\n Perhaps more important, it appears that allied troops haven't yet fully engaged Iraq's vaunted Republican Guard, which has been sitting just north of the Iraq - Kuwait border and is considered the most potent element in the Iraqi defense.\n It remains to be seen how much damage the allied air campaign was able to inflict on the Guard, and whether President Hussein will commit his most valued troops to a fight-to-the-death finish.\n Certainly Saddam Hussein continues to implore his country to fight on. \"\n Fight them, \" he urged Iraqis in a radio address.\n \" All Iraqis, fight them with all the power you have, and all struggle for everything. \"\n American war planners have long assumed that the early stage of the ground attack, in which American forces would use their speed to sweep around Iraqi defenses and their strength to punch through the relatively weak Iraqi front line, would be the easiest part.\n Despite these early successes, the mere fact that a ground campaign has begun almost guarantees that the Bush administration will face fresh problems growing out of the military situation.\n There are likely to be additional American prisoners of war taken, and there are signs that President Hussein is taking Kuwaiti hostages.\n U.S. and Kuwaiti officials say there are reports that large numbers of civilians from Kuwait City are being rounded up and held by Iraqi troops, apparently either for use as human shields or for use later in bargaining once the war is over.\n President Bush's political argument for going to a ground war has been strengthened by the growing stream of reports of wanton Iraqi destruction inside Kuwait.\n U.S. officials say that hundreds of Kuwaiti oil wells now may have been set afire.\n And Robert Gates, Mr. Bush's deputy national security adviser, asserted in an interview on the Cable News Network that Iraqi troops have set fire to \" large sections \" of Kuwait City.\n Mr. Bush and his aides were leaning toward a military conclusion of the crisis even before the latest reports of Iraqi atrocities in Kuwait came to light.\n The president and his top aides tentatively decided on Feb. 11 that a ground war would be necessary.\n The decision was made after Defense Secretary Dick Cheney and Gen. Colin Powell, chairman of the Joint Chiefs of Staff, returned from a visit with military commanders in Saudi Arabia, administration officials say.\n Then, a week or so ago, Gen. Schwarzkopf secretly picked Saturday night as the optimal time to start the offensive.\n The date was unaffected by the last-ditch Soviet peace initiative.\n The real problem with the Soviet proposals, U.S. officials now say, was that they all would have required lifting economic sanctions against Iraq.\n The Bush administration considers the sanctions essential to keeping Saddam Hussein under control should he survive the war.\n Mr. Bush forestalled further diplomatic maneuvering by issuing an ultimatum on behalf of the allies demanding that Iraq withdraw within a week, starting at noon Saturday.\n Administration aides said that the idea of the ultimatum was Gen. Powell's.\n He argued setting an explicit deadline for Saddam Hussein to break would, when it was broken, give the U.S. military a clear green light to proceed.\n In setting out his final challenge to Saddam Hussein, Mr. Bush continued the intensive personal diplomacy he began after the invasion last August.\n After cabling world leaders about his intention to give Saddam Hussein a final deadline to exit Kuwait, he offered him a week to withdraw fully, instead of the four days he originally considered, because of objections from some European partners that four days seemed punitive and unrealistic.\n And when he and President Gorbachev spoke about the decision in a talk lasting nearly an hour, the President took pains to listen to what his counterpart had to say, although he already had decided that the Soviet alternative to the allied deadline was unacceptable.\n Finally, when Iraq failed to respond to the U.S. ultimatum, Mr. Bush let the ground offensive begin as previously planned Saturday night.\n The attack was lightning quick, as allied forces punched through tall sand berms on the border and pushed forward into Iraq and Kuwait.\n U.S. Marines were said to have breached troublesome mine fields along the Iraqi lines but Pentagon officials said no amphibious assault on Kuwait's beaches had begun.\n Long columns of Iraqi prisoners of war could be seen trudging through the desert toward the allied rear.\n U.S. commanders said 5,500 Iraqi prisoners were taken in the first hours of the ground war, though some military officials later said the total may have climbed above 8,000.\n The U.S. hopes its troops will drive Iraqi forces out of Kuwait quickly, leaving much of Iraq's offensive military equipment destroyed or abandoned in Kuwait.\n It expects that tens of thousands of Iraqi soldiers will surrender to the U.S. and its allies over the next few days.\n If the allies succeed, Saddam Hussein will have plunged his country first into a fruitless eight-year war against Iran and then into a humiliating war against the U.S. and the allies to defend his conquest of Kuwait, leaving much of his country's military establishment and modern infrastructure in ruins.\n Meanwhile, the U.S. hopes, economic sanctions and an international arms embargo will remain in effect until Iraq pays war reparations to Kuwait to cover war damages.\n That would undermine any chances of rebuilding either Iraq or its armed forces in short order as long as Saddam Hussein remains in power.\n The American hope is that someone from within Iraq, perhaps from the army's professional ranks, will step forward and push Saddam Hussein aside so that the country can begin recovering from the disaster.\n Outside analysts think Saddam Hussein's position is indeed precarious.\n \" I think frankly Saddam is finished, no matter what happens, \" says Christine Helms, a Middle East scholar who has written extensively about Iraq.\n \" These guys simply don't retire to condos over the Euphrates. \"\n Despite the lack of any obvious successors, the Iraqi leader's internal power base appeared to be narrowing even before the war began.\n Some analysts say he appeared to be relying on a smaller and smaller circle of close advisers and relatives.\n If that's true, the narrowing of his support would make it easier for someone to push him aside from within.\n Yet, paradoxically, the perception that the U.S. wants to destroy Iraq may increase Saddam Hussein's support within the Iraqi military.\n And the U.S. now will face sharper questions in the Arab world since it didn't back the peace proposals worked out in Moscow.\n \" We looked to the United States, we expected you to have the moral edge, \" says Nasser Tahboub, a Jerusalem-born Jordanian who has an American wife and a doctorate in political science from Duke University.\n \" Now we see that edge eroded.\n For me, it is a great tragedy.\n For the first time in history, the U.S. has gone to war with an Arab and Muslim nation, and we know a peaceful solution was in reach. \"\n -- Geraldine Brooks in Amman, Jordan, and Craig Forman in Cairo, Egypt, contributed to this article.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'engaged' (Type: OCCURRENCE)\nEvent 2: 'seem' (Type: PERCEPTION)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0012", + "input": { + "raw_text": "Intel Corp.'s most powerful computer chip has flaws that could delay several computer makers ' marketing efforts, but the \" bugs \" aren't expected to hurt Intel and most computer makers.\n Computer experts familiar with the flaws, found in Intel's 80486 chip, say the defects don't affect the average user and are likely to be cleared up before most computers using the chip as their \" brains \" appear on the market sometime next year.\n Intel said that last week a customer discovered two flaws in its 80486 microprocessor chip's \" floating-point unit \", a set of circuits that do certain calculations.\n On Friday, Intel began notifying customers about the bugs which cause the chip to give wrong answers for some mathematical calculations.\n But while International Business Machines Corp. and Compaq Computer Corp. say the bugs will delay products, most big computer makers said the flaws don't affect them.\n \" Bugs like this are just a normal part of product development, \" said Richard Archuleta, director of Hewlett - Packard Co.'s advanced systems development.\n Hewlett announced last week that it planned to ship a computer based on the 486 chip early next year.\n \" These bugs don't affect our schedule at all, \" he said.\n Likewise, AST Research Inc. and Sun Microsystems Inc. said the bugs won't delay their development of 486-based machines.\n \" We haven't modified our schedules in any way, \" said a Sun spokesman.\n To switch to another vendor's chips, \" would not definitely be an option, \" he said.\n Nonetheless, concern about the chip may have been responsible for a decline of 87.5 cents in Intel's stock to $ 32 a share yesterday in over-the-counter trading, on volume of 3,609,800 shares, and partly responsible for a drop in Compaq's stock in New York Stock Exchange composite trading on Wednesday.\n Yesterday, Compaq plunged further, closing at $ 100 a share, off $ 8.625 a share, on volume of 2,633,700 shares.\n Most of Compaq's decline is being attributed to a third-quarter earnings report that came in at the low end of analysts ' expectations.\n Intel said it had corrected the problems and would start producing bugless chips next week.\n \" We should not be seeing any more, \" said Bill Rash, Intel's director for the 486 chip.\n What's more, the bugs only emerge on esoteric applications such as computer-aided design and scientific calculations, he said, and then very seldom.\n \" These errata do not affect business programs, \" he said.\n The bugs will cause problems in \" specific and rare circumstances that will not occur in typical applications \" such as word-processing and spreadsheets, said Michael Slater, editor of the Microprocessor Report, an industry newsletter.\n Sun, Hewlett - Packard and others say Intel isn't wholly to blame for the snafu.\n The real culprits, they said, are computer makers such as IBM that have jumped the gun to unveil 486-based products.\n \" The reason this is getting so much visibility is that some started shipping and announced early availability, \" said Hewlett - Packard's Mr. Archuleta.\n \" You can do that but you 're taking a risk.\n Those companies are paying the price for taking the risk. \"\n In late September, IBM began shipping a plug-in card that converts its PS / 2 model 70-A21 from a 80386 machine to an 80486 machine.\n An IBM spokeswoman said the company told customers Monday about the bugs and temporarily stopped shipping the product.\n IBM has no plans to recall its add-on cards, the spokeswoman said, and could probably circumvent the bugs without long product delays.\n \" We don't look at this as a major problem for us, \" she said.\n Compaq, which said it discovered the bugs, still plans to announce new 486 products on Nov. 6.\n Because of the glitch, however, the company said it doesn't know when its machine will be commercially available.\n That's a break from Compaq tradition, because the company doesn't announce products until they 're actually at the dealers.\n The problem is being ballyhooed, experts say, because the 486 is Intel's future flagship.\n Intel's microprocessors are the chips of choice in many of today's personal computers and the 80486 microprocessor is the spearhead of the company's bid to guard that spot in the next generation of machines.\n \" Although these sorts of bugs are not at all uncommon, the 486 is an extremely high-profile product, \" said Mr. Slater, the newsletter editor.\n Intel's 80486 chip is the Corvette of Intel's microprocessors, a super-fast, super-expensive chip that only the most power-hungry computer users are likely to buy for at least several years.\n Unveiled last April, the chip crams 1.2 million transistors on a sliver of silicon, more than four times as many as on Intel's earlier model, 80386.\n Intel clocks the chip's speed at 15 million instructions per second, or MIPs.\n That's four times as fast as the 386.\n Machines using the 486 are expected to challenge higher-priced work stations and minicomputers in applications such as so-called servers, which connect groups of computers together, and in computer-aided design.\n But while the chip's speed in processing power is dazzling, it's real strength lies in its software inheritance.\n The 486 is the descendant of a long series of Intel chips that began dominating the market ever since IBM picked the 16-bit 8088 chip for its first personal computer.\n ( A 16-bit microprocessor processes 16 pieces of data at a time and is slower than newer, 32-bit chips. )\n Since then, Intel has cornered a large part of the market with successive generations of 16-bit and 32-bit chips, all of which can run software written for previous models.\n That's what will keep computer makers coming in spite of the irritation of bugs.\n Big personal computer makers and many makers of engineering workstations are developing 486-based machines, which are expected to reach the market early next year.\n Of the big computer makers, only Apple Computer Co. bases its machines on Motorola chips instead.\n \" The 486 is going to have a big impact on the industry, \" said Hewlett - Packard's Mr. Archuleta.\n \" It's going to be the leading edge technology in personal computers for the next few years.\n This bug is not going to have any affect on that at all. \"\n Andy Zipser in Dallas contributed to this article.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'cause' (Type: OCCURRENCE)\nEvent 2: 'give' (Type: OCCURRENCE)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + }, + { + "id": "0416", + "input": { + "raw_text": "Unisys Corp.'s announcement Friday of a $ 648.2 million loss for the third quarter showed that the company is moving even faster than expected to take write-offs on its various problems and prepare for a turnaround next year.\n At the same time, the sheer size of the loss, coupled with a slowing of orders, made some securities analysts wonder just how strong that turnaround will be at the computer maker and defense-electronics concern.\n \" Unisys is getting clobbered.\n Just clobbered, \" said Ulric Weil, an analyst at Weil amp Associates who had once been high on the company.\n \" The quarter was terrible, and the future looks anything but encouraging. \"\n Unisys, whose revenue inched up 3.7 % in the quarter to $ 2.35 billion from $ 2.27 billion in the year-earlier quarter, had an operating loss of about $ 30 million.\n On top of that, the Blue Bell, Pa., concern took a $ 230 million charge related to the layoffs of 8,000 employees.\n That is at the high end of the range of 7,000 to 8,000 employees that Unisys said a month ago would be laid off.\n Unisys said that should help it save $ 500 million a year in costs, again at the high end of the previously reported range of $ 400 million to $ 500 million.\n The company also took a write-off of $ 150 million to cover losses on some fixed-price defense contracts, as some new managers took a hard look at the prospects for that slow-growing business.\n In addition, Unisys set up an unspecified reserve -- apparently $ 60 million to $ 70 million -- to cover the minimum amount it will have to pay the government because of its involvement in the defense-procurement scandal.\n Unisys also noted that it paid $ 78.8 million in taxes during the quarter, even though tax payments normally would be minimal in a quarter that produced such a big loss.\n The tax payments will leave Unisys with $ 225 million in loss carry-forwards that will cut tax payments in future quarters.\n In addition, Unisys said it reduced computer inventories a further $ 100 million during the quarter, leaving it within $ 100 million of its goal of a reduction of $ 500 million by the end of the year.\n Still, Unisys said its European business was weak during the quarter, a worrisome sign given that the company has relied on solid results overseas to overcome weakness in the U.S. over the past several quarters.\n The company also reported slower growth in another important business: systems that use the Unix operating system.\n That would be a huge problem if it were to continue, because Unisys is betting its business on the assumption that customers want to move away from using operating systems that run on only one manufacturer's equipment and toward systems -- mainly Unix -- that work on almost anyone's machines.\n In addition, Unisys must deal with its increasingly oppressive debt load.\n Debt has risen to around $ 4 billion, or about 50 % of total capitalization.\n That means Unisys must pay about $ 100 million in interest every quarter, on top of $ 27 million in dividends on preferred stock.\n Jim Unruh, Unisys's president, said he is approaching next year with caution.\n He said the strength of the world-wide economy is suspect, and doesn't see much revenue growth in the cards.\n He also said that the price wars flaring up in parts of the computer industry will continue through next year.\n He said the move toward standard operating systems means customers aren't locked into buying from their traditional computer supplier and can force prices down.\n That, he said, is why Unisys is overhauling its whole business: It needs to prepare for a world in which profit margins will be lower than computer companies have been used to.\n \" We 've approached this not as a response to a temporary condition in the industry but as a fundamental change the industry is going through, \" Mr. Unruh said.\n \" The information-systems industry is still going to be a high-growth business, and we 're confident that we have tremendous assets as a company.\n But we don't minimize the challenges of the near term. \"\n Securities analysts were even more cautious, having been burned repeatedly on Unisys this year.\n Some had predicted earnings of more than $ 4 a share for this year, up from last year's fully diluted $ 3.27 a share on earnings of $ 680.6 million.\n But the company said Friday that it had losses of $ 673.3 million through the first nine months, compared with earnings a year earlier of $ 382.2 million, or $ 2.22 a share fully diluted, as revenue inched up 1.4 % to $ 7.13 billion from $ 7.03 billion.\n And Unisys is expected to do little better than break even in the fourth quarter.\n So Steve Milunovich at First Boston said he is cutting his earnings estimate for next year to $ 2 a share from $ 3.\n \" I was feeling like I was too high to begin with, \" he said.\n Mr. Weil of Weil amp Associates said he will remain at $ 1 a share for next year but said he wonders whether even that low target is at risk.\n \" The break-even point for next year is much lower, but is it low enough? \"\n he asked.\n Reflecting the concern, Unisys stock fell a further 75 cents to $ 16.25 in composite trading Friday on the New York Stock Exchange.", + "prompt": "<<>>. Given two events in the text:\nEvent 1: 'layoffs' (Type: OCCURRENCE)\nEvent 2: 'took' (Type: OCCURRENCE)\nDetermine the temporal relation between these events. The possible relation types are: AFTER, BEFORE, BEGINS, BEGUN_BY, DURING, ENDED_BY, ENDS, IAFTER, IBEFORE, IDENTITY, INCLUDES, IS_INCLUDED, SIMULTANEOUS." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Temporal-NER/annotation.json b/Scope-A/S-A-Quick/nlp/Temporal-NER/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..79b7d39274333cb9e6f2a84e5b92f1f20639d8ff --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Temporal-NER/annotation.json @@ -0,0 +1,117 @@ +{ + "task": "temporal_ner", + "data_source": "causal_timebank", + "type": "extraction", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "0360", + "input": { + "raw_text": "The Saudi Arabian government has an atrocious record on human rights and is known to be one of the worst offending countries when it comes to religious persecution", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0102", + "input": { + "raw_text": "Chairman Theodore Cooper called the program part of the company's two-year strategy to implement budget constraints and \" an effective headcount-control program", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0321", + "input": { + "raw_text": "27 billion in the year-earlier quarter, had an operating loss of about $ 30 million", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0045", + "input": { + "raw_text": "Navigation Mixte's chairman had suggested that friendly institutions were likely to buy its stock as soon as trading opened Monday", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0441", + "input": { + "raw_text": ", energy company stopped paying a dividend in the third quarter of 1984 because of troubles at its Midland nuclear plant", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0369", + "input": { + "raw_text": "In the third quarter, the company, which is 61 % - owned by Murphy Oil Corp", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0093", + "input": { + "raw_text": "military buildup in Saudi Arabia continued at fever pace, with Syrian troops now part of a multinational force camped out in the desert to guard the Saudi kingdom from any new thrust by Iraq", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0124", + "input": { + "raw_text": "The year-ago results have been restated to comply with government regulations", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0121", + "input": { + "raw_text": "Weisfield's shares soared on the announcement yesterday, closing up $ 11 to close at $ 50 in national over-the-counter trading", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + }, + { + "id": "0254", + "input": { + "raw_text": "supercomputer business this past spring, those costs were running at nearly 35 % of group revenue", + "prompt": "<<>>. Extract all temporal expressions and their types from this text. The possible temporal types are: DATE, DURATION, TIME, SET. Format each temporal expression as 'expression => type' and separate multiple expressions with commas." + }, + "output": { + "text": "" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/nlp/Temporal-Reasoning/annotation.json b/Scope-A/S-A-Quick/nlp/Temporal-Reasoning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..52c893480d5ab6da71a3272b44d9a28ff3dd1f01 --- /dev/null +++ b/Scope-A/S-A-Quick/nlp/Temporal-Reasoning/annotation.json @@ -0,0 +1,286 @@ +{ + "task": "Temporal Reasoning", + "type": "OpenQA", + "modality": { + "in": [ + "text" + ], + "out": [ + "text" + ] + }, + "version": "1.0", + "data": [ + { + "id": "tr141", + "input": { + "question": "A:I opened my mail , found this eviction notice , and don ' t know what to do with it . B: Actually , it is a 30 - day notice to vacate the premises . A: Just for being a few days late ? B: This isn ' t the first time you have been considerably late with the rent . I need to start the procedure to evict you . A: Are you taking my apartment away ? B: This is a notice to inform you that the sheriff will evict you in if you do not pay up on your rent . A: Can I keep the apartment if I pay my rent in full ? B: You can keep the apartment if you stay caught up on your rent . Otherwise , I need to find someone who can make the payments . A: I will go write a check right now . B: Thank you . I will need a cashier ' s check or cash , please ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr125", + "input": { + "question": "A:I know in your resume that you have worked in your present company for , can you tell me why you want to leave your present job and join us ? B: Because the job I am doing in my present company is of no challenge , but I like challenge.Your firm is a young organisation with many innovative ideas . It has been very successful in an expanding market since its establishment 10 years ago . Working for you would be exactly the sort of challenge I am looking for . A: Why do you think you are qualified for this position ? B: I have excellent communication skills and I am familiar with the procedures for the last company I worked for . Besides , I am a team player and have great interpersonal skills ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr295", + "input": { + "question": "A:Hello , Doctor . B: Well , What seems to be the trouble , Mr . Williams ? A: It's nothing serious actually , doctor . It ' s ... Well , I get tired very easily recently , and I often doze off during meetings , office hours and sometimes even while I'm dining . B: How long has this been going on ? A: About two months . I didn't pay much attention to it in the beginning , but you see , I got fired this morning . I dozed off while we were having an important meeting , right in front of the boss . I was very embarrassed . B: How was your appetite ? A: Pretty good , I'd say . B: You haven't lost any weight , have you ? A: No , doctor . I've actually put on two pounds . B: Unbutton your shirt , please . A: Well , doctor ? B: You'll have to have some laboratory examinations to know for sure . A: What examinations ? B: A blood test and during test . You can come back next week , say to see the results ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr121", + "input": { + "question": "A:Good morning , Miss Monica . Nice to meet you again ! B: Good morning , Mr . Thomas , it is nice to see you too . A: After the internal discussion , we have all agreed that you are the most suitable person for this position among all the candidates . So , today let ' s talk about your expected salary and social benefits . What is your expected salary ? B: I ' Ve worked in the field for . Depend on my work qualifications and experience , I would like to have 5000 Yuan to start . A: The basic salary for this position in our company would be 4800 Yuan to start with increases giving according to your performance . B: It is a bit lower than I expected . But I can accept that . What are the working hours ? A: 40 hours a week , Monday to Friday , 9 AM to 5 PM with one hour lunch break every day .. B: Do I have to work on weekend ? If so , how do you pay for the overtime ? A: We do expect overtime work when it is necessary , but we pay twice of the work hour for working on weekends and three times for working on national holidays like Spring Festival and the Mid-Autumn Day . B: Is there probation ? A: No probation is involved . If you feel good , you can start next week ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr199", + "input": { + "question": "A:Kate , what do you like to do tonight ? Do you often go to the movies ? B: Of course . I often go to the movies . A: There ' s a good movie called Summer in Beijing . B: I heard it ' s a very good movie . A: Let ' s find out what time it starts . B: Let ' s look at the newspaper . A: Here it is . It starts at . B: Wonderful . I ' m so excited ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr342", + "input": { + "question": "A:Good morning ! May I help you ? B: Yes . My wife and I are interested in renting a house for the summer . A: Do you want a furnished house or an unfurnished one ? B: Furnished . A: Very well . How long do you want the house ? All summer ? B: No , not all summer . Just for six weeks . A: I'm afraid I can only rent it for two months . B: My holiday is only , but I think my brother and his family would take it for the other two weeks.Is the house in good condition ? A: Yes , it is . It was just painted and it has all the modern conveniences ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr405", + "input": { + "question": "A:Welcome to the National Post . How may I help you ? B: Hi , I would like to send this package to China , and these postcards as well . A: Very well . You will need some stamps for the postcards and I need to weigh that package . B: How much is this going to cost ? A: Well , it depends . Do you want to send it via priority , express or standard mail ? B: What ' s the difference ? A: Well , standard mail can take up to fifteen working days . Priority is a bit faster and will arrive in working days . Express is the fastest , but it ' s also the most expensive . It only takes three days and you can track your package online . B: I see . Well , there ' s no rush . Please send it via priority mail . Please be extra careful , the contents of the package are fragile ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr092", + "input": { + "question": "A:How much tea are you going to order ? B: We want to order 3,000 cases and hope to deliver the goods in two equal lots . A: When do you want to deliver the goods ? B: We'd like you to execute the first delivery by and the second delivery by August 15 . A: I'm sorry , but June 30 is quite soon . I can't guarantee 1 500 cases , I'd prefer the first shipment to be 1,000 cases and the next 2,000 cases . B: I can agree to that . A: Let me affirm this again - the first shipment of 1,000 cases , to be delivered in 27 days , by June 30 , and the second shipment of 2,000 cases by August 15 . Right ? B: Right . A: Well , if there's nothing else , I think we've settled everything . B: Let's hope it's the beginning of a long and prosperous relationship ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr343", + "input": { + "question": "A:There are many new kinds of newspapers . I find it hard to choose among them . Which is the most popular paper circulating in our city ? B: I'd recommend you the Morning Paper , it is true that the paper is a newly issued one , but its circulation is rising . Last month , it reached to three hundred thousand , which is a very good figure for a new paper . A: What's the reason that people prefer to read this one ? B: I think perhaps the news stories in it are truthful and accurate . It also has a special page about the stock market ; maybe this is the real reason for its popularity . Many people are now speculating in the stock market . A: I can predict it will have the largest circulation in one or ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr324", + "input": { + "question": "Can you tell me what's included in your warranty ? Certainly . The product has a two-year guarantee . If it breaks down during that period we offer a replacement unit completely free of charge . Our products are very reliable but we recommend you take out an extended warranty . This covers you for a further two years . I see . What does that include ? It covers all parts and labour , except for normal wear and tear of course . What sort of response time do you guarantee ? Our engineers are on call 24 hours a day . We guarantee someone will be with you within , but in practice it's often much sooner . Are there any exclusions ? Not really . It's a very comprehensive warranty . I 'll put a copy in the post to you and you can read through the small print ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr319", + "input": { + "question": "Come on in . Let me show you around . Here 's the living room . Great . The view from this window is wonderful . This is the kitchen . It looks new . Yes . We just renovated a few month ago . I like it . Here 's the master bedroom . Wow , it 's nice . What did you say about the rent ? $ 900 a month . Does that include utilities ? Yes . It includes electricity , water , gas and cable , but the telephone is extra . When will it be available ? The end of this month . I like it a lot but I need to talk with my wife . Can you hold it for me for ? Sure . Thank you very much . I will let you know as soon as possible ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr178", + "input": { + "question": "Annie , what is troubling you ? You look unhappy . A man is pursuing me . He was my schoolmate in college , and he has been carrying a torch for me for three years . Do you like him ? Yes , I do like him . Then why are you hesitating ? You know that I have had a series of miserable relationships . Last summer , I fell in love with John . But the romance blossomed for six or , and then wilted . One love drives out another . You shouldn't be afraid to start a new relationship . Maybe you are right ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr157", + "input": { + "question": "A:Peter , it's time to get up . B: Ten more minutes , mom . A: What time is it now ? B: It's already 3 . A: Well , honey , wake up , or you'll be late for school ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr208", + "input": { + "question": "A:Anita , I ' Ve been here only and you ' re leaving already . B: Just for a few weeks . I need this vacation . You ' ll be all right . You know the project we ' re working on , and you ' re a good scientist . Don ' t worry . I ' ll be back as soon as I spend or gamble all my money . A: Gambling ? Where ? B: Las Vegas . I find gambling relaxing . I don ' t take it seriously , the way some people do . Besides , I love the shows and the all-night atmosphere of the town . The casinos never close , you know . A: If you gamble all night , you ' ll run out of money in a few days ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr490", + "input": { + "question": "A:What day is today ? B: Today is Thursday . A: What's the date today ? B: Today is . A: Oh , today's International Labour Day . Is it our working day ? B: Well , I don't think so ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr204", + "input": { + "question": "A:I'd like to reserve a table for three this evening . B: Just a moment , sir . Let me check the reservation list . Sorry , I'm afraid we're fully booked tonight . Would you like to make a reservation some other time ? A: Do you have pot service at noon ? B: Yes , the same service and food as in the evening . A: OK , we'll come at . B: OK . Your name , please ? A: Black . B: Good . Thank you very much ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr110", + "input": { + "question": "A:Good morning , this is Mary . B: Good morning , this is Jane . This is Apple Co . Ltd . A: Hello , Jane ! Is that the Human Resource Department ? B: Yes , this is . May I help you ? A: I had an interview with your company . I am calling to ask about the interview result . I hope you can give me a positive reply . B: Oh , the results have come out , and I can tell you ... Yes , I find your name . You are hired . Congratulations ! A: Thank you ! I am glad to hear that . When would it be convenient for me to start working ? B: Next Monday morning . A: What is the starting salary for me ? B: Your starting salary is 2500 yuan a month , and after you become a permanent employee , it will be higher . A: I appreciate the offer . I will come on time next Monday . See you then ! B: See you !" + }, + "output": { + "answer": [] + } + }, + { + "id": "tr457", + "input": { + "question": "A:Stephanie ! Did you just get to school ? But you were up and about when I left the dorm this morning ! That was about an hour and a half ago . This happens all the time ! Why do you always take so long B: It ' s a skill . What can I say ? I don ' t know why , I just have a long routine . A: Please explain because it makes no sense to me . How can a girl ' s routine be so complicated ? You get up , you shower , you get dressed , you brush your teeth , you ' re out the door . Half an hour , tops . B: Jacob , you have the luxury of having a haircut that rarely needs styling . I don ' t . I have to set aside about an hour and a half to get ready in the mornings . Every day , I wake up and head straight for the shower . Every second day , I wash my hair . If it ' s a hair-washing day , I frequently need to wash my hair twice because it gets really oily . Then I usually put in a conditioner and have to rinse that out too . Because my hair is so long , I seldom manage to take a shower in under twenty minutes . Afterwards , I often put on a pot of coffee and get dressed while I wait for it to brew . I take a long time to get dressed in the morning . Every now and then I remember to choose my outfit the night before , but usually I do it in the morning . In all , getting dressed takes about half an hour , at which time my hair is now semi-dry so then I have to style my hair . From time to time I ' ll put my hair up , butoften times I bloody it straight . And then , because of the texture of my hair , I regularly have to flat-iron it to keep it from frizzing . That ' s another or so . After that , I have my daily makeup routine . A: True , I hardly ever see you without your hair done and your makeup on , even when you show up to class in sweatpants . Tell me , how long does it take you to choose that outfit in the morning ? B: Not funny ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr215", + "input": { + "question": "What are your working hours ? Eight to twelve in the morning , . Much better than mine . What are your hours ? Mine aren't fixed . Sometimes I do the day shift , sometimes the night shift ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr133", + "input": { + "question": "A:IBA , Maria speaking . How can I help ? B: Hello , I called earlier regarding interest rates on loans . Sorry , I just have a couple more questions . A: I'm here to help . Tell me your questions and I'll do my best to answer them . B: What if I require a loan for a short period of time ? A: What repayment period were you thinking of ? B: Say , 6 months ? Or less in fact . I want to repay the loan ASAP ; I don't like debt hanging over my head . A: A wise decision . If you decide to take out a short-term loan with us , say for or less , the interest rate shall be for that of a 6 - month loan . B: What if I repay it early . Any perks ? A: Well , we could adjust the interest rate based on the original rate and the amount of days you actually borrowed the money for . B: So , the quicker I pay it back , the more I can save in interest ? That's excellent . Thanks so much for your information . I'll come in shortly to take the relevant steps for the loan . A: It's our pleasure . We are always happy to have another satisfied customer . Thanks for calling . Goodbye ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr445", + "input": { + "question": "A:I can't wait until my car is repaired . The commuting with public transportation is killing me . B: It can't be that bad . A: But it is ! Take this morning for example . The subway was so packed this morning , I got totally squished by about a hundred busy commuters on the way to work . B: At least the subway is better than the bus . It's faster for one thing . And usually less crowded . But the drawback is that the subway is more expensive than the bus . It adds up over time , if you take it every day . A: That's true . The bus is even worse . Just thinking about taking the bus every day makes me tired ! Hey , how do you get to work every day ? B: I ride my bike . I don't live too far away , so it's pretty convenient . it's only about a bike ride from my house to the office . A: I'll bet it's good exercise , too ... a good way to keep fit . B: Yes , not only a good way to keep in shape , but a good way to relieve stress as well . While you're stressed out by your commute , I'm releasing all the stress of the day with mine ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr379", + "input": { + "question": "A:Excuse me . I bought the CD here . It's scratched , and doesn't play properly . B: I'm sorry about that , sir . I'll get you another one . A: The thing is I've replaced once already . I think it's just a faulty batch . B: I see . Maybe I can offer you a credit note . A: Well . To be honest , that's not much use to me . I'll leave the country tomorrow . I'd really prefer a refund . B: OK , sir . I'll see what I can do ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr290", + "input": { + "question": "A:Let me get the keys and we ' ll go to look at it . B: Okay . A: It ' s the one you like . B: Wow ! It ' s really good for me , especially the living room . It is big enough to put all my stuff there . It ' s a deal ! I ' ll rent this one . A: Okay . Now we need you to fill a form with your personal information . We need information like social insurance number ( Social security number in the US ) , your address , phone number , etc . We also need a security deposit of $ 200 . And you have to pay two months ' rent in advance for renting the first time . If there ' s nothing damaged , we ' ll give you back ' s rent when you move out . You ' ll be responsible for all the utilities . Do you want to sign a lease today ? B: Sure ! A: Oh , one more thing I forgot . You must let us know two months in advance if you want to stop renting within the contract . Otherwise , you can ' t get your deposit back . B: Okay . Thank you for your reminder . A: You ' re welcome . Be sure to get the keys one day before you move in . B: Thank you again ." + }, + "output": { + "answer": [] + } + }, + { + "id": "tr070", + "input": { + "question": "A:Hi , Mary . I haven't seen you in ages ! I heard that you and Daniel are getting married on August 8th , the opening day of the 2008 Olympic Games . Is it true ? B: yes , it is . We've been dating for over . We have decided to get married on a special day and we think August 8th , 2008 is a red-letter day . A: good for you ! It sounds like you've done a lot of planning in a very short time . B: yes , there is a lot of to be taken care of---wedding photos , wedding dress , catering , transport , hotel , etc .. A: is everything ready now ? B: almost . The only thing that isn't ready is the hotel . As a lot of people have chosen that day to get married , it is hard to find a hotel that isn't too expensive . A: have you tried The Peninsula Palace Beijing ? My wedding reception was held there and they did an excellent job . B: yes , we called , but it is booked up . The only choice is the Regent Beijing but we haven't made up our minds yet . A: it's an excellent hotel . 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Federer of Switzerland and third-seeded Lleyton Hewitt each posted straight-set wins and advanced to Sunday #39;s final at the lucrative 2004 Tennis Masters Cup.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0210", + "input": { + "raw_text": "Title: Hartford Sees \\$91 Mln in Charley Losses\nDescription: NEW YORK (Reuters) - Hartford Financial Services Group Inc. <A HREF=\"http://www.investor.reuters.com/FullQuote.aspx?ticker=HIG.N target=/stocks/quickinfo/fullquote\">HIG.N</A> on Tuesday became the latest insurer to issue a profit warning tied to Hurricane Charley, the strongest storm to hit Florida in a dozen years.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0475", + "input": { + "raw_text": "Title: Yao Thrills Capacity Crowd at First China NBA Game (Reuters)\nDescription: Reuters - Yao Ming's Houston Rockets squeezed\\past the Sacramento Kings on Thursday in the first NBA game to\\be played in China, a country the fast-growing basketball\\league deems a potential marketing mecca.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0065", + "input": { + "raw_text": "Title: BEA's new product chief regroups\nDescription: The first new face after a company shake-up says BEA products will use the advanced research left by departed technology gurus.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0274", + "input": { + "raw_text": "Title: Premier League charges Villa manager with illegal approach for <b>...</b>\nDescription: The Premier League has charged Aston Villa manager David O #39;Leary with making an illegal approach for Southampton striker James Beattie.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0243", + "input": { + "raw_text": "Title: Crude oil prices soar on drop in US oil inventories\nDescription: Crude oil futures surged Wednesday as the US Energy Department reported US oil supplies fell more than expected. Crude oil for October delivery rose 1.68 dollars to 43.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0407", + "input": { + "raw_text": "Title: 'Frankenfish' Caught in Great Lakes (Reuters)\nDescription: Reuters - The dreaded Northern Snakehead, a\\voracious predator dubbed the \"Frankenfish\" that can breathe\\out of water and wriggle across land, has invaded the Great\\Lakes, authorities said on Friday.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0094", + "input": { + "raw_text": "Title: Symantec to offer Web-based Norton AntiVirus console\nDescription: The Web console -- to be made available specifically to corporate and enterprise licensees of Norton AntiVirus software -- will allow administrators to distribute virus definitions and product updates on demand.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0441", + "input": { + "raw_text": "Title: India's Tata expands regional footprint via NatSteel buyout (AFP)\nDescription: AFP - India's Tata Iron and Steel Company Ltd. took a strategic step to expand its Asian footprint with the announcement it will buy the Asia-Pacific steel operations of Singapore's NatSteel Ltd.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0410", + "input": { + "raw_text": "Title: Mandela, Tutu and others support Annan\nDescription: A group of high profile South Africans, including former president Nelson Mandela, has condemned attempts to force United Nations secretary-general Kofi Annan to resign.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0022", + "input": { + "raw_text": "Title: This year #39;s Panthers could learn a thing or two from Michael Vick\nDescription: CHARLOTTE - Michael Vick head-butting an opposing linebacker may not have been the smartest thing for a National Football League quarterback to do.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0276", + "input": { + "raw_text": "Title: Speak to my right ear, sing to my left\nDescription: Researchers at the University of California find that the right and left human ears process sound differently: The right ear is better at picking up speech-like sounds and the left is more attuned to music.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0454", + "input": { + "raw_text": "Title: Sox punish cocky Yankees\nDescription: BOSTONThese Yankees are an arrogant bunch. Six consecutive first-place finishes tend to do that. But very rarely do you see a team in the heat of a pennant race facing the team chasing them send out a starting pitcher just to see him get work.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0360", + "input": { + "raw_text": "Title: Bernhard is off the list for key GM post\nDescription: General Motors Corp. won #39;t offer its top advanced vehicle development job to former Chrysler Group Chief Operating Officer Wolfgang Bernhard but likely will divvy it up instead ", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0089", + "input": { + "raw_text": "Title: EU set to launch 'transit camps'\nDescription: EU ministers agree to set up five pilot reception centres in Africa to process asylum applications.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0084", + "input": { + "raw_text": "Title: Late rally sees Wall Street end week on a positive note\nDescription: US BLUE-chips recovered from an early fall to end higher as a drop in oil prices offset a profit warning from aluminium maker Alcoa, while a rise in Oracle fuelled a rally in technology stocks after a judge rejected a government attempt to block a ", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0323", + "input": { + "raw_text": "Title: New Web Domain Names Get Preliminary Nod (AP)\nDescription: AP - Two new Internet domain names #151; \".post\" and \".travel\" #151; could appear online as early as next year as the Internet's key oversight board announced preliminary approval on Wednesday.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0113", + "input": { + "raw_text": "Title: Son Is Gone but Fervor Remains After Fallujah\nDescription: After his son's life was ended by an American bullet, an Iraqi insurgent undertook a harrowing escape to a lonely exile in Baghdad, where he waits to fight another day.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0202", + "input": { + "raw_text": "Title: Austrian Panel OKs Siemens Takeover Bid\nDescription: Austrian regulators have approved Siemens AG #39;s bid to takeover engineering competitor VA Technologie AG, Austrian radio said Friday.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). Provide only the category name as output." + }, + "output": { + "topic": "" + } + }, + { + "id": "0055", + "input": { + "raw_text": "Title: Blair: Time for Excuses on Africa Is Over (Reuters)\nDescription: Reuters - British Prime Minister\\Tony Blair is to say Thursday that the time for excuses on\\Africa is over as he chairs a meeting in Ethiopia he hopes will\\turn the continent's problems into a global priority.", + "prompt": "<<>>. Classify the news article into one of these categories: World (international news), Sports (sports news), Business (business news), or Sci/Tech (science and technology news). 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These hard-earned rights will be safeguarded, and infiltrators will not succeed in sowing violence and chaos.\u2014 Javad Zarif (@JZarif) January 2, 2018", + "question": "What does Iran\u2019s security rely on?" + }, + "output": { + "answer": [] + } + }, + { + "id": "tweet489", + "input": { + "context": "Working on a new superhero movie called Look At Me Man. It\u2019s going to be awesome, yo. \ud83d\udc4d\ud83d\ude08\ud83d\ude0e\ud83d\udcaa\u2014 Shane West (@shanewest_1) May 13, 2014", + "question": "What did Shane West say about the upcoming film?" + }, + "output": { + "answer": [] + } + }, + { + "id": "tweet359", + "input": { + "context": "It was funny to me until he pulled out his guns, blew his whistle, and called for help (MallCop)!!! But make no mistake, he\u2019s dangerous...\u2014 MC HAMMER (@MCHammer) February 23, 2013", + "question": "What did @MCHammer think of the situation before guns were drawn?" + }, + "output": { + "answer": [] + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/AgricultureVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/AgricultureVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3d2676f93e464a3e1e1cb382063cced27f0c9ec1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/AgricultureVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "AgricultureVideoQuestionAnswering", + "data_source": "wildqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_agriculturevideoquestionanswering_0014", + "input": { + "video_file_list": [ + "41/0.jpg", + "41/1.jpg", + "41/2.jpg", + "41/3.jpg", + "41/4.jpg", + "41/5.jpg", + "41/6.jpg", + "41/7.jpg", + "41/8.jpg", + "41/9.jpg", + "41/10.jpg", + "41/11.jpg", + "41/12.jpg", + "41/13.jpg", + "41/14.jpg", + "41/15.jpg", + "41/16.jpg", + "41/17.jpg", + "41/18.jpg", + "41/19.jpg", + "41/20.jpg", + "41/21.jpg", + "41/22.jpg", + "41/23.jpg", + "41/24.jpg", + "41/25.jpg", + "41/26.jpg", + "41/27.jpg", + "41/28.jpg", + "41/29.jpg", + "41/30.jpg", + "41/31.jpg", + "41/32.jpg", + "41/33.jpg", + "41/34.jpg", + "41/35.jpg", + "41/36.jpg", + "41/37.jpg", + "41/38.jpg", + "41/39.jpg", + "41/40.jpg", + "41/41.jpg", + "41/42.jpg", + "41/43.jpg", + "41/44.jpg", + "41/45.jpg", + "41/46.jpg", + "41/47.jpg", + "41/48.jpg", + "41/49.jpg", + "41/50.jpg", + "41/51.jpg", + "41/52.jpg", + "41/53.jpg", + "41/54.jpg", + "41/55.jpg", + "41/56.jpg", + "41/57.jpg", + "41/58.jpg", + "41/59.jpg", + "41/60.jpg", + "41/61.jpg", + "41/62.jpg", + "41/63.jpg" + ], + "prompt": "What season is the farmer working in the video?" + }, + "output": { + "text": "The season the farmer is working is the winter." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0026", + "input": { + "video_file_list": [ + "30/0.jpg", + "30/1.jpg", + "30/2.jpg", + "30/3.jpg", + "30/4.jpg", + "30/5.jpg", + "30/6.jpg", + "30/7.jpg", + "30/8.jpg", + "30/9.jpg", + "30/10.jpg", + "30/11.jpg", + "30/12.jpg", + "30/13.jpg", + "30/14.jpg", + "30/15.jpg", + "30/16.jpg", + "30/17.jpg", + "30/18.jpg", + "30/19.jpg", + "30/20.jpg", + "30/21.jpg", + "30/22.jpg", + "30/23.jpg", + "30/24.jpg", + "30/25.jpg", + "30/26.jpg", + "30/27.jpg", + "30/28.jpg", + "30/29.jpg", + "30/30.jpg", + "30/31.jpg", + "30/32.jpg", + "30/33.jpg", + "30/34.jpg", + "30/35.jpg", + "30/36.jpg", + "30/37.jpg", + "30/38.jpg", + "30/39.jpg", + "30/40.jpg", + "30/41.jpg", + "30/42.jpg", + "30/43.jpg", + "30/44.jpg", + "30/45.jpg", + "30/46.jpg", + "30/47.jpg", + "30/48.jpg", + "30/49.jpg", + "30/50.jpg", + "30/51.jpg", + "30/52.jpg", + "30/53.jpg", + "30/54.jpg", + "30/55.jpg", + "30/56.jpg", + "30/57.jpg", + "30/58.jpg", + "30/59.jpg", + "30/60.jpg", + "30/61.jpg", + "30/62.jpg", + "30/63.jpg" + ], + "prompt": "What structure is being pointed at throughout the video?" + }, + "output": { + "text": "The poles are being pointed at throughout the video." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0003", + "input": { + "video_file_list": [ + "39/0.jpg", + "39/1.jpg", + "39/2.jpg", + "39/3.jpg", + "39/4.jpg", + "39/5.jpg", + "39/6.jpg", + "39/7.jpg", + "39/8.jpg", + "39/9.jpg", + "39/10.jpg", + "39/11.jpg", + "39/12.jpg", + "39/13.jpg", + "39/14.jpg", + "39/15.jpg", + "39/16.jpg", + "39/17.jpg", + "39/18.jpg", + "39/19.jpg", + "39/20.jpg", + "39/21.jpg", + "39/22.jpg", + "39/23.jpg", + "39/24.jpg", + "39/25.jpg", + "39/26.jpg", + "39/27.jpg", + "39/28.jpg", + "39/29.jpg", + "39/30.jpg", + "39/31.jpg", + "39/32.jpg", + "39/33.jpg", + "39/34.jpg", + "39/35.jpg", + "39/36.jpg", + "39/37.jpg", + "39/38.jpg", + "39/39.jpg", + "39/40.jpg", + "39/41.jpg", + "39/42.jpg", + "39/43.jpg", + "39/44.jpg", + "39/45.jpg", + "39/46.jpg", + "39/47.jpg", + "39/48.jpg", + "39/49.jpg", + "39/50.jpg", + "39/51.jpg", + "39/52.jpg", + "39/53.jpg", + "39/54.jpg", + "39/55.jpg", + "39/56.jpg", + "39/57.jpg", + "39/58.jpg", + "39/59.jpg", + "39/60.jpg", + "39/61.jpg", + "39/62.jpg", + "39/63.jpg" + ], + "prompt": "What issue is being identified in the video?" + }, + "output": { + "text": "The video identifies a weed growing in the farmland." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0020", + "input": { + "video_file_list": [ + "20/0.jpg", + "20/1.jpg", + "20/2.jpg", + "20/3.jpg", + "20/4.jpg", + "20/5.jpg", + "20/6.jpg", + "20/7.jpg", + "20/8.jpg", + "20/9.jpg", + "20/10.jpg", + "20/11.jpg", + "20/12.jpg", + "20/13.jpg", + "20/14.jpg", + "20/15.jpg", + "20/16.jpg", + "20/17.jpg", + "20/18.jpg", + "20/19.jpg", + "20/20.jpg", + "20/21.jpg", + "20/22.jpg", + "20/23.jpg", + "20/24.jpg", + "20/25.jpg", + "20/26.jpg", + "20/27.jpg", + "20/28.jpg", + "20/29.jpg", + "20/30.jpg", + "20/31.jpg", + "20/32.jpg", + "20/33.jpg", + "20/34.jpg", + "20/35.jpg", + "20/36.jpg", + "20/37.jpg", + "20/38.jpg", + "20/39.jpg", + "20/40.jpg", + "20/41.jpg", + "20/42.jpg", + "20/43.jpg", + "20/44.jpg", + "20/45.jpg", + "20/46.jpg", + "20/47.jpg", + "20/48.jpg", + "20/49.jpg", + "20/50.jpg", + "20/51.jpg", + "20/52.jpg", + "20/53.jpg", + "20/54.jpg", + "20/55.jpg", + "20/56.jpg", + "20/57.jpg", + "20/58.jpg", + "20/59.jpg", + "20/60.jpg", + "20/61.jpg", + "20/62.jpg", + "20/63.jpg" + ], + "prompt": "What crop is the farmer planting in January?" + }, + "output": { + "text": "The farmer is planting iceberg lettuce in January." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0033", + "input": { + "video_file_list": [ + "42/0.jpg", + "42/1.jpg", + "42/2.jpg", + "42/3.jpg", + "42/4.jpg", + "42/5.jpg", + "42/6.jpg", + "42/7.jpg", + "42/8.jpg", + "42/9.jpg", + "42/10.jpg", + "42/11.jpg", + "42/12.jpg", + "42/13.jpg", + "42/14.jpg", + "42/15.jpg", + "42/16.jpg", + "42/17.jpg", + "42/18.jpg", + "42/19.jpg", + "42/20.jpg", + "42/21.jpg", + "42/22.jpg", + "42/23.jpg", + "42/24.jpg", + "42/25.jpg", + "42/26.jpg", + "42/27.jpg", + "42/28.jpg", + "42/29.jpg", + "42/30.jpg", + "42/31.jpg", + "42/32.jpg", + "42/33.jpg", + "42/34.jpg", + "42/35.jpg", + "42/36.jpg", + "42/37.jpg", + "42/38.jpg", + "42/39.jpg", + "42/40.jpg", + "42/41.jpg", + "42/42.jpg", + "42/43.jpg", + "42/44.jpg", + "42/45.jpg", + "42/46.jpg", + "42/47.jpg", + "42/48.jpg", + "42/49.jpg", + "42/50.jpg", + "42/51.jpg", + "42/52.jpg", + "42/53.jpg", + "42/54.jpg", + "42/55.jpg", + "42/56.jpg", + "42/57.jpg", + "42/58.jpg", + "42/59.jpg", + "42/60.jpg", + "42/61.jpg", + "42/62.jpg", + "42/63.jpg" + ], + "prompt": "Why are the farmers covering a tarp with tires in the video?" + }, + "output": { + "text": "The farmers are placing tires on crop to preserve the silage underneath and prevent moisture and mold." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0010", + "input": { + "video_file_list": [ + "56/0.jpg", + "56/1.jpg", + "56/2.jpg", + "56/3.jpg", + "56/4.jpg", + "56/5.jpg", + "56/6.jpg", + "56/7.jpg", + "56/8.jpg", + "56/9.jpg", + "56/10.jpg", + "56/11.jpg", + "56/12.jpg", + "56/13.jpg", + "56/14.jpg", + "56/15.jpg", + "56/16.jpg", + "56/17.jpg", + "56/18.jpg", + "56/19.jpg", + "56/20.jpg", + "56/21.jpg", + "56/22.jpg", + "56/23.jpg", + "56/24.jpg", + "56/25.jpg", + "56/26.jpg", + "56/27.jpg", + "56/28.jpg", + "56/29.jpg", + "56/30.jpg", + "56/31.jpg", + "56/32.jpg", + "56/33.jpg", + "56/34.jpg", + "56/35.jpg", + "56/36.jpg", + "56/37.jpg", + "56/38.jpg", + "56/39.jpg", + "56/40.jpg", + "56/41.jpg", + "56/42.jpg", + "56/43.jpg", + "56/44.jpg", + "56/45.jpg", + "56/46.jpg", + "56/47.jpg", + "56/48.jpg", + "56/49.jpg", + "56/50.jpg", + "56/51.jpg", + "56/52.jpg", + "56/53.jpg", + "56/54.jpg", + "56/55.jpg", + "56/56.jpg", + "56/57.jpg", + "56/58.jpg", + "56/59.jpg", + "56/60.jpg", + "56/61.jpg", + "56/62.jpg", + "56/63.jpg" + ], + "prompt": "What is the farmer doing in the video?" + }, + "output": { + "text": "The farmer is changing tires in the video." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0001", + "input": { + "video_file_list": [ + "9/0.jpg", + "9/1.jpg", + "9/2.jpg", + "9/3.jpg", + "9/4.jpg", + "9/5.jpg", + "9/6.jpg", + "9/7.jpg", + "9/8.jpg", + "9/9.jpg", + "9/10.jpg", + "9/11.jpg", + "9/12.jpg", + "9/13.jpg", + "9/14.jpg", + "9/15.jpg", + "9/16.jpg", + "9/17.jpg", + "9/18.jpg", + "9/19.jpg", + "9/20.jpg", + "9/21.jpg", + "9/22.jpg", + "9/23.jpg", + "9/24.jpg", + "9/25.jpg", + "9/26.jpg", + "9/27.jpg", + "9/28.jpg", + "9/29.jpg", + "9/30.jpg", + "9/31.jpg", + "9/32.jpg", + "9/33.jpg", + "9/34.jpg", + "9/35.jpg", + "9/36.jpg", + "9/37.jpg", + "9/38.jpg", + "9/39.jpg", + "9/40.jpg", + "9/41.jpg", + "9/42.jpg", + "9/43.jpg", + "9/44.jpg", + "9/45.jpg", + "9/46.jpg", + "9/47.jpg", + "9/48.jpg", + "9/49.jpg", + "9/50.jpg", + "9/51.jpg", + "9/52.jpg", + "9/53.jpg", + "9/54.jpg", + "9/55.jpg", + "9/56.jpg", + "9/57.jpg", + "9/58.jpg", + "9/59.jpg", + "9/60.jpg", + "9/61.jpg", + "9/62.jpg", + "9/63.jpg" + ], + "prompt": "What is the man removing from the cardboard boxes in the video?" + }, + "output": { + "text": "The man is removing the chicks from the carboard boxes and placing them in the pen under the heat lamp." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0023", + "input": { + "video_file_list": [ + "8/0.jpg", + "8/1.jpg", + "8/2.jpg", + "8/3.jpg", + "8/4.jpg", + "8/5.jpg", + "8/6.jpg", + "8/7.jpg", + "8/8.jpg", + "8/9.jpg", + "8/10.jpg", + "8/11.jpg", + "8/12.jpg", + "8/13.jpg", + "8/14.jpg", + "8/15.jpg", + "8/16.jpg", + "8/17.jpg", + "8/18.jpg", + "8/19.jpg", + "8/20.jpg", + "8/21.jpg", + "8/22.jpg", + "8/23.jpg", + "8/24.jpg", + "8/25.jpg", + "8/26.jpg", + "8/27.jpg", + "8/28.jpg", + "8/29.jpg", + "8/30.jpg", + "8/31.jpg", + "8/32.jpg", + "8/33.jpg", + "8/34.jpg", + "8/35.jpg", + "8/36.jpg", + "8/37.jpg", + "8/38.jpg", + "8/39.jpg", + "8/40.jpg", + "8/41.jpg", + "8/42.jpg", + "8/43.jpg", + "8/44.jpg", + "8/45.jpg", + "8/46.jpg", + "8/47.jpg", + "8/48.jpg", + "8/49.jpg", + "8/50.jpg", + "8/51.jpg", + "8/52.jpg", + "8/53.jpg", + "8/54.jpg", + "8/55.jpg", + "8/56.jpg", + "8/57.jpg", + "8/58.jpg", + "8/59.jpg", + "8/60.jpg", + "8/61.jpg", + "8/62.jpg", + "8/63.jpg" + ], + "prompt": "What plant will be weed-whacked in the video to provide more grazing space?" + }, + "output": { + "text": "The thistle in the pasture will be weed-whacked to provide more grazing space in the pasture." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0021", + "input": { + "video_file_list": [ + "14/0.jpg", + "14/1.jpg", + "14/2.jpg", + "14/3.jpg", + "14/4.jpg", + "14/5.jpg", + "14/6.jpg", + "14/7.jpg", + "14/8.jpg", + "14/9.jpg", + "14/10.jpg", + "14/11.jpg", + "14/12.jpg", + "14/13.jpg", + "14/14.jpg", + "14/15.jpg", + "14/16.jpg", + "14/17.jpg", + "14/18.jpg", + "14/19.jpg", + "14/20.jpg", + "14/21.jpg", + "14/22.jpg", + "14/23.jpg", + "14/24.jpg", + "14/25.jpg", + "14/26.jpg", + "14/27.jpg", + "14/28.jpg", + "14/29.jpg", + "14/30.jpg", + "14/31.jpg", + "14/32.jpg", + "14/33.jpg", + "14/34.jpg", + "14/35.jpg", + "14/36.jpg", + "14/37.jpg", + "14/38.jpg", + "14/39.jpg", + "14/40.jpg", + "14/41.jpg", + "14/42.jpg", + "14/43.jpg", + "14/44.jpg", + "14/45.jpg", + "14/46.jpg", + "14/47.jpg", + "14/48.jpg", + "14/49.jpg", + "14/50.jpg", + "14/51.jpg", + "14/52.jpg", + "14/53.jpg", + "14/54.jpg", + "14/55.jpg", + "14/56.jpg", + "14/57.jpg", + "14/58.jpg", + "14/59.jpg", + "14/60.jpg", + "14/61.jpg", + "14/62.jpg", + "14/63.jpg" + ], + "prompt": "What is the relationship like with this farmer and his livestock?" + }, + "output": { + "text": "The farmer care for his livestock very much. He is invested and care for their wellbeing. The farmer's animals seem to care the about the farmer as well. The livestock seem very comfortable with the farmer." + } + }, + { + "id": "vc_closeset_agriculturevideoquestionanswering_0000", + "input": { + "video_file_list": [ + "62/0.jpg", + "62/1.jpg", + "62/2.jpg", + "62/3.jpg", + "62/4.jpg", + "62/5.jpg", + "62/6.jpg", + "62/7.jpg", + "62/8.jpg", + "62/9.jpg", + "62/10.jpg", + "62/11.jpg", + "62/12.jpg", + "62/13.jpg", + "62/14.jpg", + "62/15.jpg", + "62/16.jpg", + "62/17.jpg", + "62/18.jpg", + "62/19.jpg", + "62/20.jpg", + "62/21.jpg", + "62/22.jpg", + "62/23.jpg", + "62/24.jpg", + "62/25.jpg", + "62/26.jpg", + "62/27.jpg", + "62/28.jpg", + "62/29.jpg", + "62/30.jpg", + "62/31.jpg", + "62/32.jpg", + "62/33.jpg", + "62/34.jpg", + "62/35.jpg", + "62/36.jpg", + "62/37.jpg", + "62/38.jpg", + "62/39.jpg", + "62/40.jpg", + "62/41.jpg", + "62/42.jpg", + "62/43.jpg", + "62/44.jpg", + "62/45.jpg", + "62/46.jpg", + "62/47.jpg", + "62/48.jpg", + "62/49.jpg", + "62/50.jpg", + "62/51.jpg", + "62/52.jpg", + "62/53.jpg", + "62/54.jpg", + "62/55.jpg", + "62/56.jpg", + "62/57.jpg", + "62/58.jpg", + "62/59.jpg", + "62/60.jpg", + "62/61.jpg", + "62/62.jpg", + "62/63.jpg" + ], + "prompt": "What would the fertilizer corrode to make the machine unusable?" + }, + "output": { + "text": "The fertilizer corroded holes the undercarriage and the metering system" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/AnimalTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/AnimalTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2f9270effa372d2a848453e90e370f78dec6f764 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/AnimalTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, vot video, animal", + "data_source": "VOT2022", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1768", + "input": { + "video_folder": "./images/1768", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0895", + "input": { + "video_folder": "./images/0895", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0902", + "input": { + "video_folder": "./images/0902", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0887", + "input": { + "video_folder": "./images/0887", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0975", + "input": { + "video_folder": "./images/0975", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/AquaticVideoCamouflagedObjectDetection/annotation.json b/Scope-A/S-A-Quick/video/comprehension/AquaticVideoCamouflagedObjectDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..41076332409a32bbaa4a2051761f3f700d231a42 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/AquaticVideoCamouflagedObjectDetection/annotation.json @@ -0,0 +1,733 @@ +{ + "task": "FoodVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_foodvideocaptioning_0003", + "input": { + "video_file_list": [ + "TROZvPHqP1g/frame_001.jpg", + "TROZvPHqP1g/frame_002.jpg", + "TROZvPHqP1g/frame_003.jpg", + "TROZvPHqP1g/frame_004.jpg", + "TROZvPHqP1g/frame_005.jpg", + "TROZvPHqP1g/frame_006.jpg", + "TROZvPHqP1g/frame_007.jpg", + "TROZvPHqP1g/frame_008.jpg", + "TROZvPHqP1g/frame_009.jpg", + "TROZvPHqP1g/frame_010.jpg", + "TROZvPHqP1g/frame_011.jpg", + "TROZvPHqP1g/frame_012.jpg", + "TROZvPHqP1g/frame_013.jpg", + "TROZvPHqP1g/frame_014.jpg", + "TROZvPHqP1g/frame_015.jpg", + "TROZvPHqP1g/frame_016.jpg", + "TROZvPHqP1g/frame_017.jpg", + "TROZvPHqP1g/frame_018.jpg", + "TROZvPHqP1g/frame_019.jpg", + "TROZvPHqP1g/frame_020.jpg", + "TROZvPHqP1g/frame_021.jpg", + "TROZvPHqP1g/frame_022.jpg", + "TROZvPHqP1g/frame_023.jpg", + "TROZvPHqP1g/frame_024.jpg", + "TROZvPHqP1g/frame_025.jpg", + "TROZvPHqP1g/frame_026.jpg", + "TROZvPHqP1g/frame_027.jpg", + "TROZvPHqP1g/frame_028.jpg", + "TROZvPHqP1g/frame_029.jpg", + "TROZvPHqP1g/frame_030.jpg", + "TROZvPHqP1g/frame_031.jpg", + "TROZvPHqP1g/frame_032.jpg", + "TROZvPHqP1g/frame_033.jpg", + "TROZvPHqP1g/frame_034.jpg", + "TROZvPHqP1g/frame_035.jpg", + "TROZvPHqP1g/frame_036.jpg", + "TROZvPHqP1g/frame_037.jpg", + "TROZvPHqP1g/frame_038.jpg", + "TROZvPHqP1g/frame_039.jpg", + "TROZvPHqP1g/frame_040.jpg", + "TROZvPHqP1g/frame_041.jpg", + "TROZvPHqP1g/frame_042.jpg", + "TROZvPHqP1g/frame_043.jpg", + "TROZvPHqP1g/frame_044.jpg", + "TROZvPHqP1g/frame_045.jpg", + "TROZvPHqP1g/frame_046.jpg", + "TROZvPHqP1g/frame_047.jpg", + "TROZvPHqP1g/frame_048.jpg", + "TROZvPHqP1g/frame_049.jpg", + "TROZvPHqP1g/frame_050.jpg", + "TROZvPHqP1g/frame_051.jpg", + "TROZvPHqP1g/frame_052.jpg", + "TROZvPHqP1g/frame_053.jpg", + "TROZvPHqP1g/frame_054.jpg", + "TROZvPHqP1g/frame_055.jpg", + "TROZvPHqP1g/frame_056.jpg", + "TROZvPHqP1g/frame_057.jpg", + "TROZvPHqP1g/frame_058.jpg", + "TROZvPHqP1g/frame_059.jpg", + "TROZvPHqP1g/frame_060.jpg", + "TROZvPHqP1g/frame_061.jpg", + "TROZvPHqP1g/frame_062.jpg", + "TROZvPHqP1g/frame_063.jpg", + "TROZvPHqP1g/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts two men cooking in a kitchen, one wearing a black shirt and hat. They are cutting meat and preparing food in a bowl. Additionally, a man is holding a piece of bread and another holds a knife." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0010", + "input": { + "video_file_list": [ + "DrQzaGncGmw/frame_001.jpg", + "DrQzaGncGmw/frame_002.jpg", + "DrQzaGncGmw/frame_003.jpg", + "DrQzaGncGmw/frame_004.jpg", + "DrQzaGncGmw/frame_005.jpg", + "DrQzaGncGmw/frame_006.jpg", + "DrQzaGncGmw/frame_007.jpg", + "DrQzaGncGmw/frame_008.jpg", + "DrQzaGncGmw/frame_009.jpg", + "DrQzaGncGmw/frame_010.jpg", + "DrQzaGncGmw/frame_011.jpg", + "DrQzaGncGmw/frame_012.jpg", + "DrQzaGncGmw/frame_013.jpg", + "DrQzaGncGmw/frame_014.jpg", + "DrQzaGncGmw/frame_015.jpg", + "DrQzaGncGmw/frame_016.jpg", + "DrQzaGncGmw/frame_017.jpg", + "DrQzaGncGmw/frame_018.jpg", + "DrQzaGncGmw/frame_019.jpg", + "DrQzaGncGmw/frame_020.jpg", + "DrQzaGncGmw/frame_021.jpg", + "DrQzaGncGmw/frame_022.jpg", + "DrQzaGncGmw/frame_023.jpg", + "DrQzaGncGmw/frame_024.jpg", + "DrQzaGncGmw/frame_025.jpg", + "DrQzaGncGmw/frame_026.jpg", + "DrQzaGncGmw/frame_027.jpg", + "DrQzaGncGmw/frame_028.jpg", + "DrQzaGncGmw/frame_029.jpg", + "DrQzaGncGmw/frame_030.jpg", + "DrQzaGncGmw/frame_031.jpg", + "DrQzaGncGmw/frame_032.jpg", + "DrQzaGncGmw/frame_033.jpg", + "DrQzaGncGmw/frame_034.jpg", + "DrQzaGncGmw/frame_035.jpg", + "DrQzaGncGmw/frame_036.jpg", + "DrQzaGncGmw/frame_037.jpg", + "DrQzaGncGmw/frame_038.jpg", + "DrQzaGncGmw/frame_039.jpg", + "DrQzaGncGmw/frame_040.jpg", + "DrQzaGncGmw/frame_041.jpg", + "DrQzaGncGmw/frame_042.jpg", + "DrQzaGncGmw/frame_043.jpg", + "DrQzaGncGmw/frame_044.jpg", + "DrQzaGncGmw/frame_045.jpg", + "DrQzaGncGmw/frame_046.jpg", + "DrQzaGncGmw/frame_047.jpg", + "DrQzaGncGmw/frame_048.jpg", + "DrQzaGncGmw/frame_049.jpg", + "DrQzaGncGmw/frame_050.jpg", + "DrQzaGncGmw/frame_051.jpg", + "DrQzaGncGmw/frame_052.jpg", + "DrQzaGncGmw/frame_053.jpg", + "DrQzaGncGmw/frame_054.jpg", + "DrQzaGncGmw/frame_055.jpg", + "DrQzaGncGmw/frame_056.jpg", + "DrQzaGncGmw/frame_057.jpg", + "DrQzaGncGmw/frame_058.jpg", + "DrQzaGncGmw/frame_059.jpg", + "DrQzaGncGmw/frame_060.jpg", + "DrQzaGncGmw/frame_061.jpg", + "DrQzaGncGmw/frame_062.jpg", + "DrQzaGncGmw/frame_063.jpg", + "DrQzaGncGmw/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two girls enjoying different foods like hot dogs and corn dogs, wearing colorful hats and glasses. They also munch on noodles and other snacks, making amusing faces. The clip concludes with them seated together at a table, still eating." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0000", + "input": { + "video_file_list": [ + "TjNgrAUrnZU/frame_001.jpg", + "TjNgrAUrnZU/frame_002.jpg", + "TjNgrAUrnZU/frame_003.jpg", + "TjNgrAUrnZU/frame_004.jpg", + "TjNgrAUrnZU/frame_005.jpg", + "TjNgrAUrnZU/frame_006.jpg", + "TjNgrAUrnZU/frame_007.jpg", + "TjNgrAUrnZU/frame_008.jpg", + "TjNgrAUrnZU/frame_009.jpg", + "TjNgrAUrnZU/frame_010.jpg", + "TjNgrAUrnZU/frame_011.jpg", + "TjNgrAUrnZU/frame_012.jpg", + "TjNgrAUrnZU/frame_013.jpg", + "TjNgrAUrnZU/frame_014.jpg", + "TjNgrAUrnZU/frame_015.jpg", + "TjNgrAUrnZU/frame_016.jpg", + "TjNgrAUrnZU/frame_017.jpg", + "TjNgrAUrnZU/frame_018.jpg", + "TjNgrAUrnZU/frame_019.jpg", + "TjNgrAUrnZU/frame_020.jpg", + "TjNgrAUrnZU/frame_021.jpg", + "TjNgrAUrnZU/frame_022.jpg", + "TjNgrAUrnZU/frame_023.jpg", + "TjNgrAUrnZU/frame_024.jpg", + "TjNgrAUrnZU/frame_025.jpg", + "TjNgrAUrnZU/frame_026.jpg", + "TjNgrAUrnZU/frame_027.jpg", + "TjNgrAUrnZU/frame_028.jpg", + "TjNgrAUrnZU/frame_029.jpg", + "TjNgrAUrnZU/frame_030.jpg", + "TjNgrAUrnZU/frame_031.jpg", + "TjNgrAUrnZU/frame_032.jpg", + "TjNgrAUrnZU/frame_033.jpg", + "TjNgrAUrnZU/frame_034.jpg", + "TjNgrAUrnZU/frame_035.jpg", + "TjNgrAUrnZU/frame_036.jpg", + "TjNgrAUrnZU/frame_037.jpg", + "TjNgrAUrnZU/frame_038.jpg", + "TjNgrAUrnZU/frame_039.jpg", + "TjNgrAUrnZU/frame_040.jpg", + "TjNgrAUrnZU/frame_041.jpg", + "TjNgrAUrnZU/frame_042.jpg", + "TjNgrAUrnZU/frame_043.jpg", + "TjNgrAUrnZU/frame_044.jpg", + "TjNgrAUrnZU/frame_045.jpg", + "TjNgrAUrnZU/frame_046.jpg", + "TjNgrAUrnZU/frame_047.jpg", + "TjNgrAUrnZU/frame_048.jpg", + "TjNgrAUrnZU/frame_049.jpg", + "TjNgrAUrnZU/frame_050.jpg", + "TjNgrAUrnZU/frame_051.jpg", + "TjNgrAUrnZU/frame_052.jpg", + "TjNgrAUrnZU/frame_053.jpg", + "TjNgrAUrnZU/frame_054.jpg", + "TjNgrAUrnZU/frame_055.jpg", + "TjNgrAUrnZU/frame_056.jpg", + "TjNgrAUrnZU/frame_057.jpg", + "TjNgrAUrnZU/frame_058.jpg", + "TjNgrAUrnZU/frame_059.jpg", + "TjNgrAUrnZU/frame_060.jpg", + "TjNgrAUrnZU/frame_061.jpg", + "TjNgrAUrnZU/frame_062.jpg", + "TjNgrAUrnZU/frame_063.jpg", + "TjNgrAUrnZU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman preparing a drink by chopping fruit and mixing it with other ingredients. The drink is subsequently served to children at a table." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0023", + "input": { + "video_file_list": [ + "2OcV0IHbtCM_processed/frame_001.jpg", + "2OcV0IHbtCM_processed/frame_002.jpg", + "2OcV0IHbtCM_processed/frame_003.jpg", + "2OcV0IHbtCM_processed/frame_004.jpg", + "2OcV0IHbtCM_processed/frame_005.jpg", + "2OcV0IHbtCM_processed/frame_006.jpg", + "2OcV0IHbtCM_processed/frame_007.jpg", + "2OcV0IHbtCM_processed/frame_008.jpg", + "2OcV0IHbtCM_processed/frame_009.jpg", + "2OcV0IHbtCM_processed/frame_010.jpg", + "2OcV0IHbtCM_processed/frame_011.jpg", + "2OcV0IHbtCM_processed/frame_012.jpg", + "2OcV0IHbtCM_processed/frame_013.jpg", + "2OcV0IHbtCM_processed/frame_014.jpg", + "2OcV0IHbtCM_processed/frame_015.jpg", + "2OcV0IHbtCM_processed/frame_016.jpg", + "2OcV0IHbtCM_processed/frame_017.jpg", + "2OcV0IHbtCM_processed/frame_018.jpg", + "2OcV0IHbtCM_processed/frame_019.jpg", + "2OcV0IHbtCM_processed/frame_020.jpg", + "2OcV0IHbtCM_processed/frame_021.jpg", + "2OcV0IHbtCM_processed/frame_022.jpg", + "2OcV0IHbtCM_processed/frame_023.jpg", + "2OcV0IHbtCM_processed/frame_024.jpg", + "2OcV0IHbtCM_processed/frame_025.jpg", + "2OcV0IHbtCM_processed/frame_026.jpg", + "2OcV0IHbtCM_processed/frame_027.jpg", + "2OcV0IHbtCM_processed/frame_028.jpg", + "2OcV0IHbtCM_processed/frame_029.jpg", + "2OcV0IHbtCM_processed/frame_030.jpg", + "2OcV0IHbtCM_processed/frame_031.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone washing fish in a bucket and then grilling them." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0004", + "input": { + "video_file_list": [ + "JBN-k3-noVo/frame_001.jpg", + "JBN-k3-noVo/frame_002.jpg", + "JBN-k3-noVo/frame_003.jpg", + "JBN-k3-noVo/frame_004.jpg", + "JBN-k3-noVo/frame_005.jpg", + "JBN-k3-noVo/frame_006.jpg", + "JBN-k3-noVo/frame_007.jpg", + "JBN-k3-noVo/frame_008.jpg", + "JBN-k3-noVo/frame_009.jpg", + "JBN-k3-noVo/frame_010.jpg", + "JBN-k3-noVo/frame_011.jpg", + "JBN-k3-noVo/frame_012.jpg", + "JBN-k3-noVo/frame_013.jpg", + "JBN-k3-noVo/frame_014.jpg", + "JBN-k3-noVo/frame_015.jpg", + "JBN-k3-noVo/frame_016.jpg", + "JBN-k3-noVo/frame_017.jpg", + "JBN-k3-noVo/frame_018.jpg", + "JBN-k3-noVo/frame_019.jpg", + "JBN-k3-noVo/frame_020.jpg", + "JBN-k3-noVo/frame_021.jpg", + "JBN-k3-noVo/frame_022.jpg", + "JBN-k3-noVo/frame_023.jpg", + "JBN-k3-noVo/frame_024.jpg", + "JBN-k3-noVo/frame_025.jpg", + "JBN-k3-noVo/frame_026.jpg", + "JBN-k3-noVo/frame_027.jpg", + "JBN-k3-noVo/frame_028.jpg", + "JBN-k3-noVo/frame_029.jpg", + "JBN-k3-noVo/frame_030.jpg", + "JBN-k3-noVo/frame_031.jpg", + "JBN-k3-noVo/frame_032.jpg", + "JBN-k3-noVo/frame_033.jpg", + "JBN-k3-noVo/frame_034.jpg", + "JBN-k3-noVo/frame_035.jpg", + "JBN-k3-noVo/frame_036.jpg", + "JBN-k3-noVo/frame_037.jpg", + "JBN-k3-noVo/frame_038.jpg", + "JBN-k3-noVo/frame_039.jpg", + "JBN-k3-noVo/frame_040.jpg", + "JBN-k3-noVo/frame_041.jpg", + "JBN-k3-noVo/frame_042.jpg", + "JBN-k3-noVo/frame_043.jpg", + "JBN-k3-noVo/frame_044.jpg", + "JBN-k3-noVo/frame_045.jpg", + "JBN-k3-noVo/frame_046.jpg", + "JBN-k3-noVo/frame_047.jpg", + "JBN-k3-noVo/frame_048.jpg", + "JBN-k3-noVo/frame_049.jpg", + "JBN-k3-noVo/frame_050.jpg", + "JBN-k3-noVo/frame_051.jpg", + "JBN-k3-noVo/frame_052.jpg", + "JBN-k3-noVo/frame_053.jpg", + "JBN-k3-noVo/frame_054.jpg", + "JBN-k3-noVo/frame_055.jpg", + "JBN-k3-noVo/frame_056.jpg", + "JBN-k3-noVo/frame_057.jpg", + "JBN-k3-noVo/frame_058.jpg", + "JBN-k3-noVo/frame_059.jpg", + "JBN-k3-noVo/frame_060.jpg", + "JBN-k3-noVo/frame_061.jpg", + "JBN-k3-noVo/frame_062.jpg", + "JBN-k3-noVo/frame_063.jpg", + "JBN-k3-noVo/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video demonstrates the steps for preparing spaghetti, which involve boiling water with oil, cooking garlic, onions, and meat, adding sauce, and then combining all the ingredients. The dish is finished by topping it with cheese." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0012", + "input": { + "video_file_list": [ + "wiOxt4J5zaM/frame_001.jpg", + "wiOxt4J5zaM/frame_002.jpg", + "wiOxt4J5zaM/frame_003.jpg", + "wiOxt4J5zaM/frame_004.jpg", + "wiOxt4J5zaM/frame_005.jpg", + "wiOxt4J5zaM/frame_006.jpg", + "wiOxt4J5zaM/frame_007.jpg", + "wiOxt4J5zaM/frame_008.jpg", + "wiOxt4J5zaM/frame_009.jpg", + "wiOxt4J5zaM/frame_010.jpg", + "wiOxt4J5zaM/frame_011.jpg", + "wiOxt4J5zaM/frame_012.jpg", + "wiOxt4J5zaM/frame_013.jpg", + "wiOxt4J5zaM/frame_014.jpg", + "wiOxt4J5zaM/frame_015.jpg", + "wiOxt4J5zaM/frame_016.jpg", + "wiOxt4J5zaM/frame_017.jpg", + "wiOxt4J5zaM/frame_018.jpg", + "wiOxt4J5zaM/frame_019.jpg", + "wiOxt4J5zaM/frame_020.jpg", + "wiOxt4J5zaM/frame_021.jpg", + "wiOxt4J5zaM/frame_022.jpg", + "wiOxt4J5zaM/frame_023.jpg", + "wiOxt4J5zaM/frame_024.jpg", + "wiOxt4J5zaM/frame_025.jpg", + "wiOxt4J5zaM/frame_026.jpg", + "wiOxt4J5zaM/frame_027.jpg", + "wiOxt4J5zaM/frame_028.jpg", + "wiOxt4J5zaM/frame_029.jpg", + "wiOxt4J5zaM/frame_030.jpg", + "wiOxt4J5zaM/frame_031.jpg", + "wiOxt4J5zaM/frame_032.jpg", + "wiOxt4J5zaM/frame_033.jpg", + "wiOxt4J5zaM/frame_034.jpg", + "wiOxt4J5zaM/frame_035.jpg", + "wiOxt4J5zaM/frame_036.jpg", + "wiOxt4J5zaM/frame_037.jpg", + "wiOxt4J5zaM/frame_038.jpg", + "wiOxt4J5zaM/frame_039.jpg", + "wiOxt4J5zaM/frame_040.jpg", + "wiOxt4J5zaM/frame_041.jpg", + "wiOxt4J5zaM/frame_042.jpg", + "wiOxt4J5zaM/frame_043.jpg", + "wiOxt4J5zaM/frame_044.jpg", + "wiOxt4J5zaM/frame_045.jpg", + "wiOxt4J5zaM/frame_046.jpg", + "wiOxt4J5zaM/frame_047.jpg", + "wiOxt4J5zaM/frame_048.jpg", + "wiOxt4J5zaM/frame_049.jpg", + "wiOxt4J5zaM/frame_050.jpg", + "wiOxt4J5zaM/frame_051.jpg", + "wiOxt4J5zaM/frame_052.jpg", + "wiOxt4J5zaM/frame_053.jpg", + "wiOxt4J5zaM/frame_054.jpg", + "wiOxt4J5zaM/frame_055.jpg", + "wiOxt4J5zaM/frame_056.jpg", + "wiOxt4J5zaM/frame_057.jpg", + "wiOxt4J5zaM/frame_058.jpg", + "wiOxt4J5zaM/frame_059.jpg", + "wiOxt4J5zaM/frame_060.jpg", + "wiOxt4J5zaM/frame_061.jpg", + "wiOxt4J5zaM/frame_062.jpg", + "wiOxt4J5zaM/frame_063.jpg", + "wiOxt4J5zaM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man preparing a cocktail by adding ice and pouring several liquids into a glass. He stirs the mixture before transferring it to another glass. The video concludes with a close-up of the final drink." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0002", + "input": { + "video_file_list": [ + "UEECwQ_kYLs/frame_001.jpg", + "UEECwQ_kYLs/frame_002.jpg", + "UEECwQ_kYLs/frame_003.jpg", + "UEECwQ_kYLs/frame_004.jpg", + "UEECwQ_kYLs/frame_005.jpg", + "UEECwQ_kYLs/frame_006.jpg", + "UEECwQ_kYLs/frame_007.jpg", + "UEECwQ_kYLs/frame_008.jpg", + "UEECwQ_kYLs/frame_009.jpg", + "UEECwQ_kYLs/frame_010.jpg", + "UEECwQ_kYLs/frame_011.jpg", + "UEECwQ_kYLs/frame_012.jpg", + "UEECwQ_kYLs/frame_013.jpg", + "UEECwQ_kYLs/frame_014.jpg", + "UEECwQ_kYLs/frame_015.jpg", + "UEECwQ_kYLs/frame_016.jpg", + "UEECwQ_kYLs/frame_017.jpg", + "UEECwQ_kYLs/frame_018.jpg", + "UEECwQ_kYLs/frame_019.jpg", + "UEECwQ_kYLs/frame_020.jpg", + "UEECwQ_kYLs/frame_021.jpg", + "UEECwQ_kYLs/frame_022.jpg", + "UEECwQ_kYLs/frame_023.jpg", + "UEECwQ_kYLs/frame_024.jpg", + "UEECwQ_kYLs/frame_025.jpg", + "UEECwQ_kYLs/frame_026.jpg", + "UEECwQ_kYLs/frame_027.jpg", + "UEECwQ_kYLs/frame_028.jpg", + "UEECwQ_kYLs/frame_029.jpg", + "UEECwQ_kYLs/frame_030.jpg", + "UEECwQ_kYLs/frame_031.jpg", + "UEECwQ_kYLs/frame_032.jpg", + "UEECwQ_kYLs/frame_033.jpg", + "UEECwQ_kYLs/frame_034.jpg", + "UEECwQ_kYLs/frame_035.jpg", + "UEECwQ_kYLs/frame_036.jpg", + "UEECwQ_kYLs/frame_037.jpg", + "UEECwQ_kYLs/frame_038.jpg", + "UEECwQ_kYLs/frame_039.jpg", + "UEECwQ_kYLs/frame_040.jpg", + "UEECwQ_kYLs/frame_041.jpg", + "UEECwQ_kYLs/frame_042.jpg", + "UEECwQ_kYLs/frame_043.jpg", + "UEECwQ_kYLs/frame_044.jpg", + "UEECwQ_kYLs/frame_045.jpg", + "UEECwQ_kYLs/frame_046.jpg", + "UEECwQ_kYLs/frame_047.jpg", + "UEECwQ_kYLs/frame_048.jpg", + "UEECwQ_kYLs/frame_049.jpg", + "UEECwQ_kYLs/frame_050.jpg", + "UEECwQ_kYLs/frame_051.jpg", + "UEECwQ_kYLs/frame_052.jpg", + "UEECwQ_kYLs/frame_053.jpg", + "UEECwQ_kYLs/frame_054.jpg", + "UEECwQ_kYLs/frame_055.jpg", + "UEECwQ_kYLs/frame_056.jpg", + "UEECwQ_kYLs/frame_057.jpg", + "UEECwQ_kYLs/frame_058.jpg", + "UEECwQ_kYLs/frame_059.jpg", + "UEECwQ_kYLs/frame_060.jpg", + "UEECwQ_kYLs/frame_061.jpg", + "UEECwQ_kYLs/frame_062.jpg", + "UEECwQ_kYLs/frame_063.jpg", + "UEECwQ_kYLs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing mashed potatoes and gravy, then placing them on a plate." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0011", + "input": { + "video_file_list": [ + "SeP3V3MtpxI_processed/frame_001.jpg", + "SeP3V3MtpxI_processed/frame_002.jpg", + "SeP3V3MtpxI_processed/frame_003.jpg", + "SeP3V3MtpxI_processed/frame_004.jpg", + "SeP3V3MtpxI_processed/frame_005.jpg", + "SeP3V3MtpxI_processed/frame_006.jpg", + "SeP3V3MtpxI_processed/frame_007.jpg", + "SeP3V3MtpxI_processed/frame_008.jpg", + "SeP3V3MtpxI_processed/frame_009.jpg", + "SeP3V3MtpxI_processed/frame_010.jpg", + "SeP3V3MtpxI_processed/frame_011.jpg", + "SeP3V3MtpxI_processed/frame_012.jpg", + "SeP3V3MtpxI_processed/frame_013.jpg", + "SeP3V3MtpxI_processed/frame_014.jpg", + "SeP3V3MtpxI_processed/frame_015.jpg", + "SeP3V3MtpxI_processed/frame_016.jpg", + "SeP3V3MtpxI_processed/frame_017.jpg", + "SeP3V3MtpxI_processed/frame_018.jpg", + "SeP3V3MtpxI_processed/frame_019.jpg", + "SeP3V3MtpxI_processed/frame_020.jpg", + "SeP3V3MtpxI_processed/frame_021.jpg", + "SeP3V3MtpxI_processed/frame_022.jpg", + "SeP3V3MtpxI_processed/frame_023.jpg", + "SeP3V3MtpxI_processed/frame_024.jpg", + "SeP3V3MtpxI_processed/frame_025.jpg", + "SeP3V3MtpxI_processed/frame_026.jpg", + "SeP3V3MtpxI_processed/frame_027.jpg", + "SeP3V3MtpxI_processed/frame_028.jpg", + "SeP3V3MtpxI_processed/frame_029.jpg", + "SeP3V3MtpxI_processed/frame_030.jpg", + "SeP3V3MtpxI_processed/frame_031.jpg", + "SeP3V3MtpxI_processed/frame_032.jpg", + "SeP3V3MtpxI_processed/frame_033.jpg", + "SeP3V3MtpxI_processed/frame_034.jpg", + "SeP3V3MtpxI_processed/frame_035.jpg", + "SeP3V3MtpxI_processed/frame_036.jpg", + "SeP3V3MtpxI_processed/frame_037.jpg", + "SeP3V3MtpxI_processed/frame_038.jpg", + "SeP3V3MtpxI_processed/frame_039.jpg", + "SeP3V3MtpxI_processed/frame_040.jpg", + "SeP3V3MtpxI_processed/frame_041.jpg", + "SeP3V3MtpxI_processed/frame_042.jpg", + "SeP3V3MtpxI_processed/frame_043.jpg", + "SeP3V3MtpxI_processed/frame_044.jpg", + "SeP3V3MtpxI_processed/frame_045.jpg", + "SeP3V3MtpxI_processed/frame_046.jpg", + "SeP3V3MtpxI_processed/frame_047.jpg", + "SeP3V3MtpxI_processed/frame_048.jpg", + "SeP3V3MtpxI_processed/frame_049.jpg", + "SeP3V3MtpxI_processed/frame_050.jpg", + "SeP3V3MtpxI_processed/frame_051.jpg", + "SeP3V3MtpxI_processed/frame_052.jpg", + "SeP3V3MtpxI_processed/frame_053.jpg", + "SeP3V3MtpxI_processed/frame_054.jpg", + "SeP3V3MtpxI_processed/frame_055.jpg", + "SeP3V3MtpxI_processed/frame_056.jpg", + "SeP3V3MtpxI_processed/frame_057.jpg", + "SeP3V3MtpxI_processed/frame_058.jpg", + "SeP3V3MtpxI_processed/frame_059.jpg", + "SeP3V3MtpxI_processed/frame_060.jpg", + "SeP3V3MtpxI_processed/frame_061.jpg", + "SeP3V3MtpxI_processed/frame_062.jpg", + "SeP3V3MtpxI_processed/frame_063.jpg", + "SeP3V3MtpxI_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man preparing an old-fashioned cocktail by mixing several ingredients in a glass and stirring them. The finished drink is presented with an orange twist and a cherry as garnish." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0007", + "input": { + "video_file_list": [ + "DmUgQzu3Z4U/frame_001.jpg", + "DmUgQzu3Z4U/frame_002.jpg", + "DmUgQzu3Z4U/frame_003.jpg", + "DmUgQzu3Z4U/frame_004.jpg", + "DmUgQzu3Z4U/frame_005.jpg", + "DmUgQzu3Z4U/frame_006.jpg", + "DmUgQzu3Z4U/frame_007.jpg", + "DmUgQzu3Z4U/frame_008.jpg", + "DmUgQzu3Z4U/frame_009.jpg", + "DmUgQzu3Z4U/frame_010.jpg", + "DmUgQzu3Z4U/frame_011.jpg", + "DmUgQzu3Z4U/frame_012.jpg", + "DmUgQzu3Z4U/frame_013.jpg", + "DmUgQzu3Z4U/frame_014.jpg", + "DmUgQzu3Z4U/frame_015.jpg", + "DmUgQzu3Z4U/frame_016.jpg", + "DmUgQzu3Z4U/frame_017.jpg", + "DmUgQzu3Z4U/frame_018.jpg", + "DmUgQzu3Z4U/frame_019.jpg", + "DmUgQzu3Z4U/frame_020.jpg", + "DmUgQzu3Z4U/frame_021.jpg", + "DmUgQzu3Z4U/frame_022.jpg", + "DmUgQzu3Z4U/frame_023.jpg", + "DmUgQzu3Z4U/frame_024.jpg", + "DmUgQzu3Z4U/frame_025.jpg", + "DmUgQzu3Z4U/frame_026.jpg", + "DmUgQzu3Z4U/frame_027.jpg", + "DmUgQzu3Z4U/frame_028.jpg", + "DmUgQzu3Z4U/frame_029.jpg", + "DmUgQzu3Z4U/frame_030.jpg", + "DmUgQzu3Z4U/frame_031.jpg", + "DmUgQzu3Z4U/frame_032.jpg", + "DmUgQzu3Z4U/frame_033.jpg", + "DmUgQzu3Z4U/frame_034.jpg", + "DmUgQzu3Z4U/frame_035.jpg", + "DmUgQzu3Z4U/frame_036.jpg", + "DmUgQzu3Z4U/frame_037.jpg", + "DmUgQzu3Z4U/frame_038.jpg", + "DmUgQzu3Z4U/frame_039.jpg", + "DmUgQzu3Z4U/frame_040.jpg", + "DmUgQzu3Z4U/frame_041.jpg", + "DmUgQzu3Z4U/frame_042.jpg", + "DmUgQzu3Z4U/frame_043.jpg", + "DmUgQzu3Z4U/frame_044.jpg", + "DmUgQzu3Z4U/frame_045.jpg", + "DmUgQzu3Z4U/frame_046.jpg", + "DmUgQzu3Z4U/frame_047.jpg", + "DmUgQzu3Z4U/frame_048.jpg", + "DmUgQzu3Z4U/frame_049.jpg", + "DmUgQzu3Z4U/frame_050.jpg", + "DmUgQzu3Z4U/frame_051.jpg", + "DmUgQzu3Z4U/frame_052.jpg", + "DmUgQzu3Z4U/frame_053.jpg", + "DmUgQzu3Z4U/frame_054.jpg", + "DmUgQzu3Z4U/frame_055.jpg", + "DmUgQzu3Z4U/frame_056.jpg", + "DmUgQzu3Z4U/frame_057.jpg", + "DmUgQzu3Z4U/frame_058.jpg", + "DmUgQzu3Z4U/frame_059.jpg", + "DmUgQzu3Z4U/frame_060.jpg", + "DmUgQzu3Z4U/frame_061.jpg", + "DmUgQzu3Z4U/frame_062.jpg", + "DmUgQzu3Z4U/frame_063.jpg", + "DmUgQzu3Z4U/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video shows a man and a woman getting their faces painted while seated. The man wears a blue shirt and the woman a pink one. Various items like a bowl of noodles, a bottle of mouthwash, and a plate of food are also visible." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0006", + "input": { + "video_file_list": [ + "u0GSFSvWDG4/frame_001.jpg", + "u0GSFSvWDG4/frame_002.jpg", + "u0GSFSvWDG4/frame_003.jpg", + "u0GSFSvWDG4/frame_004.jpg", + "u0GSFSvWDG4/frame_005.jpg", + "u0GSFSvWDG4/frame_006.jpg", + "u0GSFSvWDG4/frame_007.jpg", + "u0GSFSvWDG4/frame_008.jpg", + "u0GSFSvWDG4/frame_009.jpg", + "u0GSFSvWDG4/frame_010.jpg", + "u0GSFSvWDG4/frame_011.jpg", + "u0GSFSvWDG4/frame_012.jpg", + "u0GSFSvWDG4/frame_013.jpg", + "u0GSFSvWDG4/frame_014.jpg", + "u0GSFSvWDG4/frame_015.jpg", + "u0GSFSvWDG4/frame_016.jpg", + "u0GSFSvWDG4/frame_017.jpg", + "u0GSFSvWDG4/frame_018.jpg", + "u0GSFSvWDG4/frame_019.jpg", + "u0GSFSvWDG4/frame_020.jpg", + "u0GSFSvWDG4/frame_021.jpg", + "u0GSFSvWDG4/frame_022.jpg", + "u0GSFSvWDG4/frame_023.jpg", + "u0GSFSvWDG4/frame_024.jpg", + "u0GSFSvWDG4/frame_025.jpg", + "u0GSFSvWDG4/frame_026.jpg", + "u0GSFSvWDG4/frame_027.jpg", + "u0GSFSvWDG4/frame_028.jpg", + "u0GSFSvWDG4/frame_029.jpg", + "u0GSFSvWDG4/frame_030.jpg", + "u0GSFSvWDG4/frame_031.jpg", + "u0GSFSvWDG4/frame_032.jpg", + "u0GSFSvWDG4/frame_033.jpg", + "u0GSFSvWDG4/frame_034.jpg", + "u0GSFSvWDG4/frame_035.jpg", + "u0GSFSvWDG4/frame_036.jpg", + "u0GSFSvWDG4/frame_037.jpg", + "u0GSFSvWDG4/frame_038.jpg", + "u0GSFSvWDG4/frame_039.jpg", + "u0GSFSvWDG4/frame_040.jpg", + "u0GSFSvWDG4/frame_041.jpg", + "u0GSFSvWDG4/frame_042.jpg", + "u0GSFSvWDG4/frame_043.jpg", + "u0GSFSvWDG4/frame_044.jpg", + "u0GSFSvWDG4/frame_045.jpg", + "u0GSFSvWDG4/frame_046.jpg", + "u0GSFSvWDG4/frame_047.jpg", + "u0GSFSvWDG4/frame_048.jpg", + "u0GSFSvWDG4/frame_049.jpg", + "u0GSFSvWDG4/frame_050.jpg", + "u0GSFSvWDG4/frame_051.jpg", + "u0GSFSvWDG4/frame_052.jpg", + "u0GSFSvWDG4/frame_053.jpg", + "u0GSFSvWDG4/frame_054.jpg", + "u0GSFSvWDG4/frame_055.jpg", + "u0GSFSvWDG4/frame_056.jpg", + "u0GSFSvWDG4/frame_057.jpg", + "u0GSFSvWDG4/frame_058.jpg", + "u0GSFSvWDG4/frame_059.jpg", + "u0GSFSvWDG4/frame_060.jpg", + "u0GSFSvWDG4/frame_061.jpg", + "u0GSFSvWDG4/frame_062.jpg", + "u0GSFSvWDG4/frame_063.jpg", + "u0GSFSvWDG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man dining with friends at a restaurant, savoring dishes like shrimp and lobster. He is wearing an apron and holds up food for the camera." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ArtRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ArtRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..75d1fd4108715b102d0d63ef40c94cfeca434172 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ArtRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ArtRecognition", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_artrecognition_0041", + "input": { + "video_file_list": [ + "wCkQ138sg6M/0.jpg", + "wCkQ138sg6M/1.jpg", + "wCkQ138sg6M/2.jpg", + "wCkQ138sg6M/3.jpg", + "wCkQ138sg6M/4.jpg", + "wCkQ138sg6M/5.jpg", + "wCkQ138sg6M/6.jpg", + "wCkQ138sg6M/7.jpg", + "wCkQ138sg6M/8.jpg", + "wCkQ138sg6M/9.jpg", + "wCkQ138sg6M/10.jpg", + "wCkQ138sg6M/11.jpg", + "wCkQ138sg6M/12.jpg", + "wCkQ138sg6M/13.jpg", + "wCkQ138sg6M/14.jpg", + "wCkQ138sg6M/15.jpg", + "wCkQ138sg6M/16.jpg", + "wCkQ138sg6M/17.jpg", + "wCkQ138sg6M/18.jpg", + "wCkQ138sg6M/19.jpg", + "wCkQ138sg6M/20.jpg", + "wCkQ138sg6M/21.jpg", + "wCkQ138sg6M/22.jpg", + "wCkQ138sg6M/23.jpg", + "wCkQ138sg6M/24.jpg", + "wCkQ138sg6M/25.jpg", + "wCkQ138sg6M/26.jpg", + "wCkQ138sg6M/27.jpg", + "wCkQ138sg6M/28.jpg", + "wCkQ138sg6M/29.jpg", + "wCkQ138sg6M/30.jpg", + "wCkQ138sg6M/31.jpg", + "wCkQ138sg6M/32.jpg", + "wCkQ138sg6M/33.jpg", + "wCkQ138sg6M/34.jpg", + "wCkQ138sg6M/35.jpg", + "wCkQ138sg6M/36.jpg", + "wCkQ138sg6M/37.jpg", + "wCkQ138sg6M/38.jpg", + "wCkQ138sg6M/39.jpg", + "wCkQ138sg6M/40.jpg", + "wCkQ138sg6M/41.jpg", + "wCkQ138sg6M/42.jpg", + "wCkQ138sg6M/43.jpg", + "wCkQ138sg6M/44.jpg", + "wCkQ138sg6M/45.jpg", + "wCkQ138sg6M/46.jpg", + "wCkQ138sg6M/47.jpg", + "wCkQ138sg6M/48.jpg", + "wCkQ138sg6M/49.jpg", + "wCkQ138sg6M/50.jpg", + "wCkQ138sg6M/51.jpg", + "wCkQ138sg6M/52.jpg", + "wCkQ138sg6M/53.jpg", + "wCkQ138sg6M/54.jpg", + "wCkQ138sg6M/55.jpg", + "wCkQ138sg6M/56.jpg", + "wCkQ138sg6M/57.jpg", + "wCkQ138sg6M/58.jpg", + "wCkQ138sg6M/59.jpg", + "wCkQ138sg6M/60.jpg", + "wCkQ138sg6M/61.jpg", + "wCkQ138sg6M/62.jpg", + "wCkQ138sg6M/63.jpg" + ], + "prompt": "According to what is shown in the video, what might be the relationship between the old man in a white shirt and the standing man in a black shirt?\nA. Father and son.\nB. Grandfather and grandson.\nC. Employer and employee.\nD. Teacher and student." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_artrecognition_0017", + "input": { + "video_file_list": [ + "OE5S-NbNsro/0.jpg", + "OE5S-NbNsro/1.jpg", + "OE5S-NbNsro/2.jpg", + "OE5S-NbNsro/3.jpg", + "OE5S-NbNsro/4.jpg", + "OE5S-NbNsro/5.jpg", + "OE5S-NbNsro/6.jpg", + "OE5S-NbNsro/7.jpg", + "OE5S-NbNsro/8.jpg", + "OE5S-NbNsro/9.jpg", + "OE5S-NbNsro/10.jpg", + "OE5S-NbNsro/11.jpg", + "OE5S-NbNsro/12.jpg", + "OE5S-NbNsro/13.jpg", + "OE5S-NbNsro/14.jpg", + "OE5S-NbNsro/15.jpg", + "OE5S-NbNsro/16.jpg", + "OE5S-NbNsro/17.jpg", + "OE5S-NbNsro/18.jpg", + "OE5S-NbNsro/19.jpg", + "OE5S-NbNsro/20.jpg", + "OE5S-NbNsro/21.jpg", + "OE5S-NbNsro/22.jpg", + "OE5S-NbNsro/23.jpg", + "OE5S-NbNsro/24.jpg", + "OE5S-NbNsro/25.jpg", + "OE5S-NbNsro/26.jpg", + "OE5S-NbNsro/27.jpg", + "OE5S-NbNsro/28.jpg", + "OE5S-NbNsro/29.jpg", + "OE5S-NbNsro/30.jpg", + "OE5S-NbNsro/31.jpg", + "OE5S-NbNsro/32.jpg", + "OE5S-NbNsro/33.jpg", + "OE5S-NbNsro/34.jpg", + "OE5S-NbNsro/35.jpg", + "OE5S-NbNsro/36.jpg", + "OE5S-NbNsro/37.jpg", + "OE5S-NbNsro/38.jpg", + "OE5S-NbNsro/39.jpg", + "OE5S-NbNsro/40.jpg", + "OE5S-NbNsro/41.jpg", + "OE5S-NbNsro/42.jpg", + "OE5S-NbNsro/43.jpg", + "OE5S-NbNsro/44.jpg", + "OE5S-NbNsro/45.jpg", + "OE5S-NbNsro/46.jpg", + "OE5S-NbNsro/47.jpg", + "OE5S-NbNsro/48.jpg", + "OE5S-NbNsro/49.jpg", + "OE5S-NbNsro/50.jpg", + "OE5S-NbNsro/51.jpg", + "OE5S-NbNsro/52.jpg", + "OE5S-NbNsro/53.jpg", + "OE5S-NbNsro/54.jpg", + "OE5S-NbNsro/55.jpg", + "OE5S-NbNsro/56.jpg", + "OE5S-NbNsro/57.jpg", + "OE5S-NbNsro/58.jpg", + "OE5S-NbNsro/59.jpg", + "OE5S-NbNsro/60.jpg", + "OE5S-NbNsro/61.jpg", + "OE5S-NbNsro/62.jpg", + "OE5S-NbNsro/63.jpg" + ], + "prompt": "What's the color of the cosmos introduced by the video?\nA. White.\nB. Black.\nC. Navy blue.\nD. Dark purple." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_artrecognition_0026", + "input": { + "video_file_list": [ + "ElWG0_kjy_Y/0.jpg", + "ElWG0_kjy_Y/1.jpg", + "ElWG0_kjy_Y/2.jpg", + "ElWG0_kjy_Y/3.jpg", + "ElWG0_kjy_Y/4.jpg", + "ElWG0_kjy_Y/5.jpg", + "ElWG0_kjy_Y/6.jpg", + "ElWG0_kjy_Y/7.jpg", + "ElWG0_kjy_Y/8.jpg", + "ElWG0_kjy_Y/9.jpg", + "ElWG0_kjy_Y/10.jpg", + "ElWG0_kjy_Y/11.jpg", + "ElWG0_kjy_Y/12.jpg", + "ElWG0_kjy_Y/13.jpg", + "ElWG0_kjy_Y/14.jpg", + "ElWG0_kjy_Y/15.jpg", + "ElWG0_kjy_Y/16.jpg", + "ElWG0_kjy_Y/17.jpg", + "ElWG0_kjy_Y/18.jpg", + "ElWG0_kjy_Y/19.jpg", + "ElWG0_kjy_Y/20.jpg", + "ElWG0_kjy_Y/21.jpg", + "ElWG0_kjy_Y/22.jpg", + "ElWG0_kjy_Y/23.jpg", + "ElWG0_kjy_Y/24.jpg", + "ElWG0_kjy_Y/25.jpg", + "ElWG0_kjy_Y/26.jpg", + "ElWG0_kjy_Y/27.jpg", + "ElWG0_kjy_Y/28.jpg", + "ElWG0_kjy_Y/29.jpg", + "ElWG0_kjy_Y/30.jpg", + "ElWG0_kjy_Y/31.jpg", + "ElWG0_kjy_Y/32.jpg", + "ElWG0_kjy_Y/33.jpg", + "ElWG0_kjy_Y/34.jpg", + "ElWG0_kjy_Y/35.jpg", + "ElWG0_kjy_Y/36.jpg", + "ElWG0_kjy_Y/37.jpg", + "ElWG0_kjy_Y/38.jpg", + "ElWG0_kjy_Y/39.jpg", + "ElWG0_kjy_Y/40.jpg", + "ElWG0_kjy_Y/41.jpg", + "ElWG0_kjy_Y/42.jpg", + "ElWG0_kjy_Y/43.jpg", + "ElWG0_kjy_Y/44.jpg", + "ElWG0_kjy_Y/45.jpg", + "ElWG0_kjy_Y/46.jpg", + "ElWG0_kjy_Y/47.jpg", + "ElWG0_kjy_Y/48.jpg", + "ElWG0_kjy_Y/49.jpg", + "ElWG0_kjy_Y/50.jpg", + "ElWG0_kjy_Y/51.jpg", + "ElWG0_kjy_Y/52.jpg", + "ElWG0_kjy_Y/53.jpg", + "ElWG0_kjy_Y/54.jpg", + "ElWG0_kjy_Y/55.jpg", + "ElWG0_kjy_Y/56.jpg", + "ElWG0_kjy_Y/57.jpg", + "ElWG0_kjy_Y/58.jpg", + "ElWG0_kjy_Y/59.jpg", + "ElWG0_kjy_Y/60.jpg", + "ElWG0_kjy_Y/61.jpg", + "ElWG0_kjy_Y/62.jpg", + "ElWG0_kjy_Y/63.jpg" + ], + "prompt": "What is not true about the painting based on the video?\nA. It lacks drama.\nB. It might be Lisa del Giacondo's portrait.\nC. The expression appears to change depending on the angle from which it is viewed.\nD. There is no jewelry in the painting because the protagonist was bankrupt." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_artrecognition_0038", + "input": { + "video_file_list": [ + "tX8a00l_Dfs/0.jpg", + "tX8a00l_Dfs/1.jpg", + "tX8a00l_Dfs/2.jpg", + "tX8a00l_Dfs/3.jpg", + "tX8a00l_Dfs/4.jpg", + "tX8a00l_Dfs/5.jpg", + "tX8a00l_Dfs/6.jpg", + "tX8a00l_Dfs/7.jpg", + "tX8a00l_Dfs/8.jpg", + "tX8a00l_Dfs/9.jpg", + "tX8a00l_Dfs/10.jpg", + "tX8a00l_Dfs/11.jpg", + "tX8a00l_Dfs/12.jpg", + "tX8a00l_Dfs/13.jpg", + "tX8a00l_Dfs/14.jpg", + "tX8a00l_Dfs/15.jpg", + "tX8a00l_Dfs/16.jpg", + "tX8a00l_Dfs/17.jpg", + "tX8a00l_Dfs/18.jpg", + "tX8a00l_Dfs/19.jpg", + "tX8a00l_Dfs/20.jpg", + "tX8a00l_Dfs/21.jpg", + "tX8a00l_Dfs/22.jpg", + "tX8a00l_Dfs/23.jpg", + "tX8a00l_Dfs/24.jpg", + "tX8a00l_Dfs/25.jpg", + "tX8a00l_Dfs/26.jpg", + "tX8a00l_Dfs/27.jpg", + "tX8a00l_Dfs/28.jpg", + "tX8a00l_Dfs/29.jpg", + "tX8a00l_Dfs/30.jpg", + "tX8a00l_Dfs/31.jpg", + "tX8a00l_Dfs/32.jpg", + "tX8a00l_Dfs/33.jpg", + "tX8a00l_Dfs/34.jpg", + "tX8a00l_Dfs/35.jpg", + "tX8a00l_Dfs/36.jpg", + "tX8a00l_Dfs/37.jpg", + "tX8a00l_Dfs/38.jpg", + "tX8a00l_Dfs/39.jpg", + "tX8a00l_Dfs/40.jpg", + "tX8a00l_Dfs/41.jpg", + "tX8a00l_Dfs/42.jpg", + "tX8a00l_Dfs/43.jpg", + "tX8a00l_Dfs/44.jpg", + "tX8a00l_Dfs/45.jpg", + "tX8a00l_Dfs/46.jpg", + "tX8a00l_Dfs/47.jpg", + "tX8a00l_Dfs/48.jpg", + "tX8a00l_Dfs/49.jpg", + "tX8a00l_Dfs/50.jpg", + "tX8a00l_Dfs/51.jpg", + "tX8a00l_Dfs/52.jpg", + "tX8a00l_Dfs/53.jpg", + "tX8a00l_Dfs/54.jpg", + "tX8a00l_Dfs/55.jpg", + "tX8a00l_Dfs/56.jpg", + "tX8a00l_Dfs/57.jpg", + "tX8a00l_Dfs/58.jpg", + "tX8a00l_Dfs/59.jpg", + "tX8a00l_Dfs/60.jpg", + "tX8a00l_Dfs/61.jpg", + "tX8a00l_Dfs/62.jpg", + "tX8a00l_Dfs/63.jpg" + ], + "prompt": "According to the video, which finger does not need to press the strings when playing Em9?\nA. Index finger.\nB. Middle finger.\nC. Ring finger.\nD. Little finger." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_artrecognition_0035", + "input": { + "video_file_list": [ + "uqILuTcux_o/0.jpg", + "uqILuTcux_o/1.jpg", + "uqILuTcux_o/2.jpg", + "uqILuTcux_o/3.jpg", + "uqILuTcux_o/4.jpg", + "uqILuTcux_o/5.jpg", + "uqILuTcux_o/6.jpg", + "uqILuTcux_o/7.jpg", + "uqILuTcux_o/8.jpg", + "uqILuTcux_o/9.jpg", + "uqILuTcux_o/10.jpg", + "uqILuTcux_o/11.jpg", + "uqILuTcux_o/12.jpg", + "uqILuTcux_o/13.jpg", + "uqILuTcux_o/14.jpg", + "uqILuTcux_o/15.jpg", + "uqILuTcux_o/16.jpg", + "uqILuTcux_o/17.jpg", + "uqILuTcux_o/18.jpg", + "uqILuTcux_o/19.jpg", + "uqILuTcux_o/20.jpg", + "uqILuTcux_o/21.jpg", + "uqILuTcux_o/22.jpg", + "uqILuTcux_o/23.jpg", + "uqILuTcux_o/24.jpg", + "uqILuTcux_o/25.jpg", + "uqILuTcux_o/26.jpg", + "uqILuTcux_o/27.jpg", + "uqILuTcux_o/28.jpg", + "uqILuTcux_o/29.jpg", + "uqILuTcux_o/30.jpg", + "uqILuTcux_o/31.jpg", + "uqILuTcux_o/32.jpg", + "uqILuTcux_o/33.jpg", + "uqILuTcux_o/34.jpg", + "uqILuTcux_o/35.jpg", + "uqILuTcux_o/36.jpg", + "uqILuTcux_o/37.jpg", + "uqILuTcux_o/38.jpg", + "uqILuTcux_o/39.jpg", + "uqILuTcux_o/40.jpg", + "uqILuTcux_o/41.jpg", + "uqILuTcux_o/42.jpg", + "uqILuTcux_o/43.jpg", + "uqILuTcux_o/44.jpg", + "uqILuTcux_o/45.jpg", + "uqILuTcux_o/46.jpg", + "uqILuTcux_o/47.jpg", + "uqILuTcux_o/48.jpg", + "uqILuTcux_o/49.jpg", + "uqILuTcux_o/50.jpg", + "uqILuTcux_o/51.jpg", + "uqILuTcux_o/52.jpg", + "uqILuTcux_o/53.jpg", + "uqILuTcux_o/54.jpg", + "uqILuTcux_o/55.jpg", + "uqILuTcux_o/56.jpg", + "uqILuTcux_o/57.jpg", + "uqILuTcux_o/58.jpg", + "uqILuTcux_o/59.jpg", + "uqILuTcux_o/60.jpg", + "uqILuTcux_o/61.jpg", + "uqILuTcux_o/62.jpg", + "uqILuTcux_o/63.jpg" + ], + "prompt": "Which of the following can be identified as Susan White-Oakes' most recent art piece, based on the video?\nA. A tiger.\nB. A bird.\nC. A fish.\nD. A pangolin." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_artrecognition_0053", + "input": { + "video_file_list": [ + "k1SE25mURhc/0.jpg", + "k1SE25mURhc/1.jpg", + "k1SE25mURhc/2.jpg", + "k1SE25mURhc/3.jpg", + "k1SE25mURhc/4.jpg", + "k1SE25mURhc/5.jpg", + "k1SE25mURhc/6.jpg", + "k1SE25mURhc/7.jpg", + "k1SE25mURhc/8.jpg", + "k1SE25mURhc/9.jpg", + "k1SE25mURhc/10.jpg", + "k1SE25mURhc/11.jpg", + "k1SE25mURhc/12.jpg", + "k1SE25mURhc/13.jpg", + "k1SE25mURhc/14.jpg", + "k1SE25mURhc/15.jpg", + "k1SE25mURhc/16.jpg", + "k1SE25mURhc/17.jpg", + "k1SE25mURhc/18.jpg", + "k1SE25mURhc/19.jpg", + "k1SE25mURhc/20.jpg", + "k1SE25mURhc/21.jpg", + "k1SE25mURhc/22.jpg", + "k1SE25mURhc/23.jpg", + "k1SE25mURhc/24.jpg", + "k1SE25mURhc/25.jpg", + "k1SE25mURhc/26.jpg", + "k1SE25mURhc/27.jpg", + "k1SE25mURhc/28.jpg", + "k1SE25mURhc/29.jpg", + "k1SE25mURhc/30.jpg", + "k1SE25mURhc/31.jpg", + "k1SE25mURhc/32.jpg", + "k1SE25mURhc/33.jpg", + "k1SE25mURhc/34.jpg", + "k1SE25mURhc/35.jpg", + "k1SE25mURhc/36.jpg", + "k1SE25mURhc/37.jpg", + "k1SE25mURhc/38.jpg", + "k1SE25mURhc/39.jpg", + "k1SE25mURhc/40.jpg", + "k1SE25mURhc/41.jpg", + "k1SE25mURhc/42.jpg", + "k1SE25mURhc/43.jpg", + "k1SE25mURhc/44.jpg", + "k1SE25mURhc/45.jpg", + "k1SE25mURhc/46.jpg", + "k1SE25mURhc/47.jpg", + "k1SE25mURhc/48.jpg", + "k1SE25mURhc/49.jpg", + "k1SE25mURhc/50.jpg", + "k1SE25mURhc/51.jpg", + "k1SE25mURhc/52.jpg", + "k1SE25mURhc/53.jpg", + "k1SE25mURhc/54.jpg", + "k1SE25mURhc/55.jpg", + "k1SE25mURhc/56.jpg", + "k1SE25mURhc/57.jpg", + "k1SE25mURhc/58.jpg", + "k1SE25mURhc/59.jpg", + "k1SE25mURhc/60.jpg", + "k1SE25mURhc/61.jpg", + "k1SE25mURhc/62.jpg", + "k1SE25mURhc/63.jpg" + ], + "prompt": "In line with the video evidence, why does the author mention Cambodia Angkor Wat?\nA. To illustrate his point that Ellora Caves might not have been built by its occupiers.\nB. Because it is as remarkable as Ellora Caves.\nC. Because Cambodia Angkor Wat and Ellora Cave are both built by monks.\nD. Because it is very close to Ellora Caves." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_artrecognition_0029", + "input": { + "video_file_list": [ + "QdlP8ai8trw/0.jpg", + "QdlP8ai8trw/1.jpg", + "QdlP8ai8trw/2.jpg", + "QdlP8ai8trw/3.jpg", + "QdlP8ai8trw/4.jpg", + "QdlP8ai8trw/5.jpg", + "QdlP8ai8trw/6.jpg", + "QdlP8ai8trw/7.jpg", + "QdlP8ai8trw/8.jpg", + "QdlP8ai8trw/9.jpg", + "QdlP8ai8trw/10.jpg", + "QdlP8ai8trw/11.jpg", + "QdlP8ai8trw/12.jpg", + "QdlP8ai8trw/13.jpg", + "QdlP8ai8trw/14.jpg", + "QdlP8ai8trw/15.jpg", + "QdlP8ai8trw/16.jpg", + "QdlP8ai8trw/17.jpg", + "QdlP8ai8trw/18.jpg", + "QdlP8ai8trw/19.jpg", + "QdlP8ai8trw/20.jpg", + "QdlP8ai8trw/21.jpg", + "QdlP8ai8trw/22.jpg", + "QdlP8ai8trw/23.jpg", + "QdlP8ai8trw/24.jpg", + "QdlP8ai8trw/25.jpg", + "QdlP8ai8trw/26.jpg", + "QdlP8ai8trw/27.jpg", + "QdlP8ai8trw/28.jpg", + "QdlP8ai8trw/29.jpg", + "QdlP8ai8trw/30.jpg", + "QdlP8ai8trw/31.jpg", + "QdlP8ai8trw/32.jpg", + "QdlP8ai8trw/33.jpg", + "QdlP8ai8trw/34.jpg", + "QdlP8ai8trw/35.jpg", + "QdlP8ai8trw/36.jpg", + "QdlP8ai8trw/37.jpg", + "QdlP8ai8trw/38.jpg", + "QdlP8ai8trw/39.jpg", + "QdlP8ai8trw/40.jpg", + "QdlP8ai8trw/41.jpg", + "QdlP8ai8trw/42.jpg", + "QdlP8ai8trw/43.jpg", + "QdlP8ai8trw/44.jpg", + "QdlP8ai8trw/45.jpg", + "QdlP8ai8trw/46.jpg", + "QdlP8ai8trw/47.jpg", + "QdlP8ai8trw/48.jpg", + "QdlP8ai8trw/49.jpg", + "QdlP8ai8trw/50.jpg", + "QdlP8ai8trw/51.jpg", + "QdlP8ai8trw/52.jpg", + "QdlP8ai8trw/53.jpg", + "QdlP8ai8trw/54.jpg", + "QdlP8ai8trw/55.jpg", + "QdlP8ai8trw/56.jpg", + "QdlP8ai8trw/57.jpg", + "QdlP8ai8trw/58.jpg", + "QdlP8ai8trw/59.jpg", + "QdlP8ai8trw/60.jpg", + "QdlP8ai8trw/61.jpg", + "QdlP8ai8trw/62.jpg", + "QdlP8ai8trw/63.jpg" + ], + "prompt": "Which of the following statements is not correct?\nA. David ousted the Medici family.\nB. People in Florence identified with David because of his courage of defeating giant Goliath.\nC. Florence had experienced political turmoil before becoming a republic country.\nD. The very stance of the sculpture was taken directly from classical antiquity." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_artrecognition_0050", + "input": { + "video_file_list": [ + "Bkheu99K5lY/0.jpg", + "Bkheu99K5lY/1.jpg", + "Bkheu99K5lY/2.jpg", + "Bkheu99K5lY/3.jpg", + "Bkheu99K5lY/4.jpg", + "Bkheu99K5lY/5.jpg", + "Bkheu99K5lY/6.jpg", + "Bkheu99K5lY/7.jpg", + "Bkheu99K5lY/8.jpg", + "Bkheu99K5lY/9.jpg", + "Bkheu99K5lY/10.jpg", + "Bkheu99K5lY/11.jpg", + "Bkheu99K5lY/12.jpg", + "Bkheu99K5lY/13.jpg", + "Bkheu99K5lY/14.jpg", + "Bkheu99K5lY/15.jpg", + "Bkheu99K5lY/16.jpg", + "Bkheu99K5lY/17.jpg", + "Bkheu99K5lY/18.jpg", + "Bkheu99K5lY/19.jpg", + "Bkheu99K5lY/20.jpg", + "Bkheu99K5lY/21.jpg", + "Bkheu99K5lY/22.jpg", + "Bkheu99K5lY/23.jpg", + "Bkheu99K5lY/24.jpg", + "Bkheu99K5lY/25.jpg", + "Bkheu99K5lY/26.jpg", + "Bkheu99K5lY/27.jpg", + "Bkheu99K5lY/28.jpg", + "Bkheu99K5lY/29.jpg", + "Bkheu99K5lY/30.jpg", + "Bkheu99K5lY/31.jpg", + "Bkheu99K5lY/32.jpg", + "Bkheu99K5lY/33.jpg", + "Bkheu99K5lY/34.jpg", + "Bkheu99K5lY/35.jpg", + "Bkheu99K5lY/36.jpg", + "Bkheu99K5lY/37.jpg", + "Bkheu99K5lY/38.jpg", + "Bkheu99K5lY/39.jpg", + "Bkheu99K5lY/40.jpg", + "Bkheu99K5lY/41.jpg", + "Bkheu99K5lY/42.jpg", + "Bkheu99K5lY/43.jpg", + "Bkheu99K5lY/44.jpg", + "Bkheu99K5lY/45.jpg", + "Bkheu99K5lY/46.jpg", + "Bkheu99K5lY/47.jpg", + "Bkheu99K5lY/48.jpg", + "Bkheu99K5lY/49.jpg", + "Bkheu99K5lY/50.jpg", + "Bkheu99K5lY/51.jpg", + "Bkheu99K5lY/52.jpg", + "Bkheu99K5lY/53.jpg", + "Bkheu99K5lY/54.jpg", + "Bkheu99K5lY/55.jpg", + "Bkheu99K5lY/56.jpg", + "Bkheu99K5lY/57.jpg", + "Bkheu99K5lY/58.jpg", + "Bkheu99K5lY/59.jpg", + "Bkheu99K5lY/60.jpg", + "Bkheu99K5lY/61.jpg", + "Bkheu99K5lY/62.jpg", + "Bkheu99K5lY/63.jpg" + ], + "prompt": "What's the correct order of the following events?\n1. Creating basic background.\n2. Add a few flowers to the painting.\n3. Building up the texture of the painting even more.\n4. Drawing the pads of the water lilies.\nA. 4, 1, 2, 3.\nB. 2, 4, 1, 3.\nC. 1, 4, 2, 3.\nD. 1, 4, 3, 2." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_artrecognition_0001", + "input": { + "video_file_list": [ + "4jmMWohs1XM/0.jpg", + "4jmMWohs1XM/1.jpg", + "4jmMWohs1XM/2.jpg", + "4jmMWohs1XM/3.jpg", + "4jmMWohs1XM/4.jpg", + "4jmMWohs1XM/5.jpg", + "4jmMWohs1XM/6.jpg", + "4jmMWohs1XM/7.jpg", + "4jmMWohs1XM/8.jpg", + "4jmMWohs1XM/9.jpg", + "4jmMWohs1XM/10.jpg", + "4jmMWohs1XM/11.jpg", + "4jmMWohs1XM/12.jpg", + "4jmMWohs1XM/13.jpg", + "4jmMWohs1XM/14.jpg", + "4jmMWohs1XM/15.jpg", + "4jmMWohs1XM/16.jpg", + "4jmMWohs1XM/17.jpg", + "4jmMWohs1XM/18.jpg", + "4jmMWohs1XM/19.jpg", + "4jmMWohs1XM/20.jpg", + "4jmMWohs1XM/21.jpg", + "4jmMWohs1XM/22.jpg", + "4jmMWohs1XM/23.jpg", + "4jmMWohs1XM/24.jpg", + "4jmMWohs1XM/25.jpg", + "4jmMWohs1XM/26.jpg", + "4jmMWohs1XM/27.jpg", + "4jmMWohs1XM/28.jpg", + "4jmMWohs1XM/29.jpg", + "4jmMWohs1XM/30.jpg", + "4jmMWohs1XM/31.jpg", + "4jmMWohs1XM/32.jpg", + "4jmMWohs1XM/33.jpg", + "4jmMWohs1XM/34.jpg", + "4jmMWohs1XM/35.jpg", + "4jmMWohs1XM/36.jpg", + "4jmMWohs1XM/37.jpg", + "4jmMWohs1XM/38.jpg", + "4jmMWohs1XM/39.jpg", + "4jmMWohs1XM/40.jpg", + "4jmMWohs1XM/41.jpg", + "4jmMWohs1XM/42.jpg", + "4jmMWohs1XM/43.jpg", + "4jmMWohs1XM/44.jpg", + "4jmMWohs1XM/45.jpg", + "4jmMWohs1XM/46.jpg", + "4jmMWohs1XM/47.jpg", + "4jmMWohs1XM/48.jpg", + "4jmMWohs1XM/49.jpg", + "4jmMWohs1XM/50.jpg", + "4jmMWohs1XM/51.jpg", + "4jmMWohs1XM/52.jpg", + "4jmMWohs1XM/53.jpg", + "4jmMWohs1XM/54.jpg", + "4jmMWohs1XM/55.jpg", + "4jmMWohs1XM/56.jpg", + "4jmMWohs1XM/57.jpg", + "4jmMWohs1XM/58.jpg", + "4jmMWohs1XM/59.jpg", + "4jmMWohs1XM/60.jpg", + "4jmMWohs1XM/61.jpg", + "4jmMWohs1XM/62.jpg", + "4jmMWohs1XM/63.jpg" + ], + "prompt": "What are the colors of the famous statue of Augustus Caesar that is supposed to?\nA. Totally white.\nB. Mainly white and red.\nC. Mainly white and green.\nD. Mainly red and green." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_artrecognition_0021", + "input": { + "video_file_list": [ + "4jmMWohs1XM/0.jpg", + "4jmMWohs1XM/1.jpg", + "4jmMWohs1XM/2.jpg", + "4jmMWohs1XM/3.jpg", + "4jmMWohs1XM/4.jpg", + "4jmMWohs1XM/5.jpg", + "4jmMWohs1XM/6.jpg", + "4jmMWohs1XM/7.jpg", + "4jmMWohs1XM/8.jpg", + "4jmMWohs1XM/9.jpg", + "4jmMWohs1XM/10.jpg", + "4jmMWohs1XM/11.jpg", + "4jmMWohs1XM/12.jpg", + "4jmMWohs1XM/13.jpg", + "4jmMWohs1XM/14.jpg", + "4jmMWohs1XM/15.jpg", + "4jmMWohs1XM/16.jpg", + "4jmMWohs1XM/17.jpg", + "4jmMWohs1XM/18.jpg", + "4jmMWohs1XM/19.jpg", + "4jmMWohs1XM/20.jpg", + "4jmMWohs1XM/21.jpg", + "4jmMWohs1XM/22.jpg", + "4jmMWohs1XM/23.jpg", + "4jmMWohs1XM/24.jpg", + "4jmMWohs1XM/25.jpg", + "4jmMWohs1XM/26.jpg", + "4jmMWohs1XM/27.jpg", + "4jmMWohs1XM/28.jpg", + "4jmMWohs1XM/29.jpg", + "4jmMWohs1XM/30.jpg", + "4jmMWohs1XM/31.jpg", + "4jmMWohs1XM/32.jpg", + "4jmMWohs1XM/33.jpg", + "4jmMWohs1XM/34.jpg", + "4jmMWohs1XM/35.jpg", + "4jmMWohs1XM/36.jpg", + "4jmMWohs1XM/37.jpg", + "4jmMWohs1XM/38.jpg", + "4jmMWohs1XM/39.jpg", + "4jmMWohs1XM/40.jpg", + "4jmMWohs1XM/41.jpg", + "4jmMWohs1XM/42.jpg", + "4jmMWohs1XM/43.jpg", + "4jmMWohs1XM/44.jpg", + "4jmMWohs1XM/45.jpg", + "4jmMWohs1XM/46.jpg", + "4jmMWohs1XM/47.jpg", + "4jmMWohs1XM/48.jpg", + "4jmMWohs1XM/49.jpg", + "4jmMWohs1XM/50.jpg", + "4jmMWohs1XM/51.jpg", + "4jmMWohs1XM/52.jpg", + "4jmMWohs1XM/53.jpg", + "4jmMWohs1XM/54.jpg", + "4jmMWohs1XM/55.jpg", + "4jmMWohs1XM/56.jpg", + "4jmMWohs1XM/57.jpg", + "4jmMWohs1XM/58.jpg", + "4jmMWohs1XM/59.jpg", + "4jmMWohs1XM/60.jpg", + "4jmMWohs1XM/61.jpg", + "4jmMWohs1XM/62.jpg", + "4jmMWohs1XM/63.jpg" + ], + "prompt": "Which of the following methods of revealing the original color of the ancient art work is not mentioned in the video?\nA. By imagining the color that fits in well with the art work.\nB. Ultraviolet light.\nC. Pigment analysis.\nD. Sampling some visible colors." + }, + "output": { + "text": "A" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ArtsAndCraftsVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ArtsAndCraftsVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1214b688d7b43664c0dfa825438673b3c1fef5ca --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ArtsAndCraftsVideoCaptioning/annotation.json @@ -0,0 +1,454 @@ +{ + "task": "ArtsAndCraftsVideoCaptioning", + "data_source": "k600", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0234", + "input": { + "video_file_list": [ + "Bs0uvZg1-NE_000007_000017/frame_00000.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00009.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00018.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00027.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00036.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00045.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00054.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00063.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00072.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00081.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00090.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00099.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00108.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00117.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00126.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00135.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00144.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00153.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00162.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00171.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00180.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00189.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00198.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00207.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00216.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00225.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00234.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00243.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00252.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00261.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00270.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00279.jpg", + "Bs0uvZg1-NE_000007_000017/frame_00288.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman and a child are building a sandcastle together using their hands." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0908", + "input": { + "video_file_list": [ + "DOfcxkAM9Y0_000006_000016/frame_00000.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00010.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00020.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00030.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00040.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00050.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00060.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00070.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00080.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00090.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00100.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00110.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00120.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00130.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00140.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00150.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00160.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00170.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00180.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00190.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00200.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00210.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00220.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00230.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00240.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00250.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00260.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00270.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00280.jpg", + "DOfcxkAM9Y0_000006_000016/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Making a snowman, the man places a carrot nose on the creation while the child holds a shovel, shaping the snow. They enjoy each other's company as they build their winter masterpiece." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0122", + "input": { + "video_file_list": [ + "2SksndzDzw0_000033_000043/frame_00000.jpg", + "2SksndzDzw0_000033_000043/frame_00008.jpg", + "2SksndzDzw0_000033_000043/frame_00016.jpg", + "2SksndzDzw0_000033_000043/frame_00024.jpg", + "2SksndzDzw0_000033_000043/frame_00032.jpg", + "2SksndzDzw0_000033_000043/frame_00040.jpg", + "2SksndzDzw0_000033_000043/frame_00048.jpg", + "2SksndzDzw0_000033_000043/frame_00056.jpg", + "2SksndzDzw0_000033_000043/frame_00064.jpg", + "2SksndzDzw0_000033_000043/frame_00072.jpg", + "2SksndzDzw0_000033_000043/frame_00080.jpg", + "2SksndzDzw0_000033_000043/frame_00088.jpg", + "2SksndzDzw0_000033_000043/frame_00096.jpg", + "2SksndzDzw0_000033_000043/frame_00104.jpg", + "2SksndzDzw0_000033_000043/frame_00112.jpg", + "2SksndzDzw0_000033_000043/frame_00120.jpg", + "2SksndzDzw0_000033_000043/frame_00128.jpg", + "2SksndzDzw0_000033_000043/frame_00136.jpg", + "2SksndzDzw0_000033_000043/frame_00144.jpg", + "2SksndzDzw0_000033_000043/frame_00152.jpg", + "2SksndzDzw0_000033_000043/frame_00160.jpg", + "2SksndzDzw0_000033_000043/frame_00168.jpg", + "2SksndzDzw0_000033_000043/frame_00176.jpg", + "2SksndzDzw0_000033_000043/frame_00184.jpg", + "2SksndzDzw0_000033_000043/frame_00192.jpg", + "2SksndzDzw0_000033_000043/frame_00200.jpg", + "2SksndzDzw0_000033_000043/frame_00208.jpg", + "2SksndzDzw0_000033_000043/frame_00216.jpg", + "2SksndzDzw0_000033_000043/frame_00224.jpg", + "2SksndzDzw0_000033_000043/frame_00232.jpg", + "2SksndzDzw0_000033_000043/frame_00240.jpg", + "2SksndzDzw0_000033_000043/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Writing with a pen, the person focuses intently as they move it across the paper, the ink flowing clearly into view." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0421", + "input": { 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"yy_SRNBvMRI_000014_000024/frame_00189.jpg", + "yy_SRNBvMRI_000014_000024/frame_00198.jpg", + "yy_SRNBvMRI_000014_000024/frame_00207.jpg", + "yy_SRNBvMRI_000014_000024/frame_00216.jpg", + "yy_SRNBvMRI_000014_000024/frame_00225.jpg", + "yy_SRNBvMRI_000014_000024/frame_00234.jpg", + "yy_SRNBvMRI_000014_000024/frame_00243.jpg", + "yy_SRNBvMRI_000014_000024/frame_00252.jpg", + "yy_SRNBvMRI_000014_000024/frame_00261.jpg", + "yy_SRNBvMRI_000014_000024/frame_00270.jpg", + "yy_SRNBvMRI_000014_000024/frame_00279.jpg", + "yy_SRNBvMRI_000014_000024/frame_00288.jpg", + "yy_SRNBvMRI_000014_000024/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Children are engaged in coloring, filling in pictures with markers as they enjoy a creative activity or art class." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0973", + "input": { + "video_file_list": [ + "eKncdK8dxZU_000475_000485/frame_00000.jpg", + 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"eKncdK8dxZU_000475_000485/frame_00198.jpg", + "eKncdK8dxZU_000475_000485/frame_00207.jpg", + "eKncdK8dxZU_000475_000485/frame_00216.jpg", + "eKncdK8dxZU_000475_000485/frame_00225.jpg", + "eKncdK8dxZU_000475_000485/frame_00234.jpg", + "eKncdK8dxZU_000475_000485/frame_00243.jpg", + "eKncdK8dxZU_000475_000485/frame_00252.jpg", + "eKncdK8dxZU_000475_000485/frame_00261.jpg", + "eKncdK8dxZU_000475_000485/frame_00270.jpg", + "eKncdK8dxZU_000475_000485/frame_00279.jpg", + "eKncdK8dxZU_000475_000485/frame_00288.jpg", + "eKncdK8dxZU_000475_000485/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video demonstrates someone weaving a basket using wooden sticks. The process involves holding the basket and skillfully adding sticks to create a sturdy structure, with close-up angles highlighting the intricate weaving technique." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0235", + "input": { + "video_file_list": [ + "oUXWLAZiYq4_000024_000034/frame_00000.jpg", + "oUXWLAZiYq4_000024_000034/frame_00009.jpg", + "oUXWLAZiYq4_000024_000034/frame_00018.jpg", + "oUXWLAZiYq4_000024_000034/frame_00027.jpg", + "oUXWLAZiYq4_000024_000034/frame_00036.jpg", + "oUXWLAZiYq4_000024_000034/frame_00045.jpg", + "oUXWLAZiYq4_000024_000034/frame_00054.jpg", + "oUXWLAZiYq4_000024_000034/frame_00063.jpg", + "oUXWLAZiYq4_000024_000034/frame_00072.jpg", + "oUXWLAZiYq4_000024_000034/frame_00081.jpg", + "oUXWLAZiYq4_000024_000034/frame_00090.jpg", + "oUXWLAZiYq4_000024_000034/frame_00099.jpg", + "oUXWLAZiYq4_000024_000034/frame_00108.jpg", + "oUXWLAZiYq4_000024_000034/frame_00117.jpg", + "oUXWLAZiYq4_000024_000034/frame_00126.jpg", + "oUXWLAZiYq4_000024_000034/frame_00135.jpg", + "oUXWLAZiYq4_000024_000034/frame_00144.jpg", + "oUXWLAZiYq4_000024_000034/frame_00153.jpg", + "oUXWLAZiYq4_000024_000034/frame_00162.jpg", + "oUXWLAZiYq4_000024_000034/frame_00171.jpg", + "oUXWLAZiYq4_000024_000034/frame_00180.jpg", + "oUXWLAZiYq4_000024_000034/frame_00189.jpg", + "oUXWLAZiYq4_000024_000034/frame_00198.jpg", + "oUXWLAZiYq4_000024_000034/frame_00207.jpg", + "oUXWLAZiYq4_000024_000034/frame_00216.jpg", + "oUXWLAZiYq4_000024_000034/frame_00225.jpg", + "oUXWLAZiYq4_000024_000034/frame_00234.jpg", + "oUXWLAZiYq4_000024_000034/frame_00243.jpg", + "oUXWLAZiYq4_000024_000034/frame_00252.jpg", + "oUXWLAZiYq4_000024_000034/frame_00261.jpg", + "oUXWLAZiYq4_000024_000034/frame_00270.jpg", + "oUXWLAZiYq4_000024_000034/frame_00279.jpg", + "oUXWLAZiYq4_000024_000034/frame_00288.jpg", + "oUXWLAZiYq4_000024_000034/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Lock picking: A person inserts a paper clip into a lock and twists it with their hands." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0145", + "input": { + "video_file_list": [ + "EX8zmwy1qeQ_000022_000032/frame_00000.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00007.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00014.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00021.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00028.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00035.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00042.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00049.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00056.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00063.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00070.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00077.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00084.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00091.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00098.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00105.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00112.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00119.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00126.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00133.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00140.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00147.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00154.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00161.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00168.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00175.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00182.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00189.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00196.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00203.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00210.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00217.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00224.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00231.jpg", + "EX8zmwy1qeQ_000022_000032/frame_00238.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman blows glass into a mold using a torch. She skillfully manipulates the molten glass to create the desired shape, requiring quick and precise actions before the glass cools." + } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0949", + "input": { + "video_file_list": [ + "ACBnLL88-oI_000075_000085/frame_00000.jpg", + "ACBnLL88-oI_000075_000085/frame_00008.jpg", + "ACBnLL88-oI_000075_000085/frame_00016.jpg", + "ACBnLL88-oI_000075_000085/frame_00024.jpg", + "ACBnLL88-oI_000075_000085/frame_00032.jpg", + "ACBnLL88-oI_000075_000085/frame_00040.jpg", + "ACBnLL88-oI_000075_000085/frame_00048.jpg", + "ACBnLL88-oI_000075_000085/frame_00056.jpg", + "ACBnLL88-oI_000075_000085/frame_00064.jpg", + "ACBnLL88-oI_000075_000085/frame_00072.jpg", + "ACBnLL88-oI_000075_000085/frame_00080.jpg", + "ACBnLL88-oI_000075_000085/frame_00088.jpg", + "ACBnLL88-oI_000075_000085/frame_00096.jpg", + "ACBnLL88-oI_000075_000085/frame_00104.jpg", + "ACBnLL88-oI_000075_000085/frame_00112.jpg", + "ACBnLL88-oI_000075_000085/frame_00120.jpg", + 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+ } + }, + { + "id": "vc_closeset_artsandcraftsvideocaptioning_0684", + "input": { + "video_file_list": [ + "Y-_90WzlKe8_000000_000010/frame_00000.jpg", + "Y-_90WzlKe8_000000_000010/frame_00010.jpg", + "Y-_90WzlKe8_000000_000010/frame_00020.jpg", + "Y-_90WzlKe8_000000_000010/frame_00030.jpg", + "Y-_90WzlKe8_000000_000010/frame_00040.jpg", + "Y-_90WzlKe8_000000_000010/frame_00050.jpg", + "Y-_90WzlKe8_000000_000010/frame_00060.jpg", + "Y-_90WzlKe8_000000_000010/frame_00070.jpg", + "Y-_90WzlKe8_000000_000010/frame_00080.jpg", + "Y-_90WzlKe8_000000_000010/frame_00090.jpg", + "Y-_90WzlKe8_000000_000010/frame_00100.jpg", + "Y-_90WzlKe8_000000_000010/frame_00110.jpg", + "Y-_90WzlKe8_000000_000010/frame_00120.jpg", + "Y-_90WzlKe8_000000_000010/frame_00130.jpg", + "Y-_90WzlKe8_000000_000010/frame_00140.jpg", + "Y-_90WzlKe8_000000_000010/frame_00150.jpg", + "Y-_90WzlKe8_000000_000010/frame_00160.jpg", + "Y-_90WzlKe8_000000_000010/frame_00170.jpg", + "Y-_90WzlKe8_000000_000010/frame_00180.jpg", + "Y-_90WzlKe8_000000_000010/frame_00190.jpg", + "Y-_90WzlKe8_000000_000010/frame_00200.jpg", + "Y-_90WzlKe8_000000_000010/frame_00210.jpg", + "Y-_90WzlKe8_000000_000010/frame_00220.jpg", + "Y-_90WzlKe8_000000_000010/frame_00230.jpg", + "Y-_90WzlKe8_000000_000010/frame_00240.jpg", + "Y-_90WzlKe8_000000_000010/frame_00250.jpg", + "Y-_90WzlKe8_000000_000010/frame_00260.jpg", + "Y-_90WzlKe8_000000_000010/frame_00270.jpg", + "Y-_90WzlKe8_000000_000010/frame_00280.jpg", + "Y-_90WzlKe8_000000_000010/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman spins yarn using a wooden spinning wheel, turning its handle with focus." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/AutosAndVehiclesVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/AutosAndVehiclesVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..25b0da6cc56ed73c7994a37e52681d99ef5b5519 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/AutosAndVehiclesVideoCaptioning/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "AutosAndVehiclesVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0009", + "input": { + "video_file_list": [ + "lHFZJXuGrzM/frame_001.jpg", + "lHFZJXuGrzM/frame_002.jpg", + "lHFZJXuGrzM/frame_003.jpg", + "lHFZJXuGrzM/frame_004.jpg", + "lHFZJXuGrzM/frame_005.jpg", + "lHFZJXuGrzM/frame_006.jpg", + "lHFZJXuGrzM/frame_007.jpg", + "lHFZJXuGrzM/frame_008.jpg", + "lHFZJXuGrzM/frame_009.jpg", + "lHFZJXuGrzM/frame_010.jpg", + "lHFZJXuGrzM/frame_011.jpg", + "lHFZJXuGrzM/frame_012.jpg", + "lHFZJXuGrzM/frame_013.jpg", + "lHFZJXuGrzM/frame_014.jpg", + "lHFZJXuGrzM/frame_015.jpg", + "lHFZJXuGrzM/frame_016.jpg", + "lHFZJXuGrzM/frame_017.jpg", + "lHFZJXuGrzM/frame_018.jpg", + "lHFZJXuGrzM/frame_019.jpg", + "lHFZJXuGrzM/frame_020.jpg", + "lHFZJXuGrzM/frame_021.jpg", + "lHFZJXuGrzM/frame_022.jpg", + "lHFZJXuGrzM/frame_023.jpg", + "lHFZJXuGrzM/frame_024.jpg", + "lHFZJXuGrzM/frame_025.jpg", + "lHFZJXuGrzM/frame_026.jpg", + "lHFZJXuGrzM/frame_027.jpg", + "lHFZJXuGrzM/frame_028.jpg", + "lHFZJXuGrzM/frame_029.jpg", + "lHFZJXuGrzM/frame_030.jpg", + "lHFZJXuGrzM/frame_031.jpg", + "lHFZJXuGrzM/frame_032.jpg", + "lHFZJXuGrzM/frame_033.jpg", + "lHFZJXuGrzM/frame_034.jpg", + "lHFZJXuGrzM/frame_035.jpg", + "lHFZJXuGrzM/frame_036.jpg", + "lHFZJXuGrzM/frame_037.jpg", + "lHFZJXuGrzM/frame_038.jpg", + "lHFZJXuGrzM/frame_039.jpg", + "lHFZJXuGrzM/frame_040.jpg", + "lHFZJXuGrzM/frame_041.jpg", + "lHFZJXuGrzM/frame_042.jpg", + "lHFZJXuGrzM/frame_043.jpg", + "lHFZJXuGrzM/frame_044.jpg", + "lHFZJXuGrzM/frame_045.jpg", + "lHFZJXuGrzM/frame_046.jpg", + "lHFZJXuGrzM/frame_047.jpg", + "lHFZJXuGrzM/frame_048.jpg", + "lHFZJXuGrzM/frame_049.jpg", + "lHFZJXuGrzM/frame_050.jpg", + "lHFZJXuGrzM/frame_051.jpg", + "lHFZJXuGrzM/frame_052.jpg", + "lHFZJXuGrzM/frame_053.jpg", + "lHFZJXuGrzM/frame_054.jpg", + "lHFZJXuGrzM/frame_055.jpg", + "lHFZJXuGrzM/frame_056.jpg", + "lHFZJXuGrzM/frame_057.jpg", + "lHFZJXuGrzM/frame_058.jpg", + "lHFZJXuGrzM/frame_059.jpg", + "lHFZJXuGrzM/frame_060.jpg", + "lHFZJXuGrzM/frame_061.jpg", + "lHFZJXuGrzM/frame_062.jpg", + "lHFZJXuGrzM/frame_063.jpg", + "lHFZJXuGrzM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone driving a car on a highway, featuring views of the dashboard and steering wheel. The driver is shown gripping the steering wheel as they navigate the road." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0003", + "input": { + "video_file_list": [ + "uStL4tizKVs/frame_001.jpg", + "uStL4tizKVs/frame_002.jpg", + "uStL4tizKVs/frame_003.jpg", + "uStL4tizKVs/frame_004.jpg", + "uStL4tizKVs/frame_005.jpg", + "uStL4tizKVs/frame_006.jpg", + "uStL4tizKVs/frame_007.jpg", + "uStL4tizKVs/frame_008.jpg", + "uStL4tizKVs/frame_009.jpg", + "uStL4tizKVs/frame_010.jpg", + "uStL4tizKVs/frame_011.jpg", + "uStL4tizKVs/frame_012.jpg", + "uStL4tizKVs/frame_013.jpg", + "uStL4tizKVs/frame_014.jpg", + "uStL4tizKVs/frame_015.jpg", + "uStL4tizKVs/frame_016.jpg", + "uStL4tizKVs/frame_017.jpg", + "uStL4tizKVs/frame_018.jpg", + "uStL4tizKVs/frame_019.jpg", + "uStL4tizKVs/frame_020.jpg", + "uStL4tizKVs/frame_021.jpg", + "uStL4tizKVs/frame_022.jpg", + "uStL4tizKVs/frame_023.jpg", + "uStL4tizKVs/frame_024.jpg", + "uStL4tizKVs/frame_025.jpg", + "uStL4tizKVs/frame_026.jpg", + "uStL4tizKVs/frame_027.jpg", + "uStL4tizKVs/frame_028.jpg", + "uStL4tizKVs/frame_029.jpg", + "uStL4tizKVs/frame_030.jpg", + "uStL4tizKVs/frame_031.jpg", + "uStL4tizKVs/frame_032.jpg", + "uStL4tizKVs/frame_033.jpg", + "uStL4tizKVs/frame_034.jpg", + "uStL4tizKVs/frame_035.jpg", + "uStL4tizKVs/frame_036.jpg", + "uStL4tizKVs/frame_037.jpg", + "uStL4tizKVs/frame_038.jpg", + "uStL4tizKVs/frame_039.jpg", + "uStL4tizKVs/frame_040.jpg", + "uStL4tizKVs/frame_041.jpg", + "uStL4tizKVs/frame_042.jpg", + "uStL4tizKVs/frame_043.jpg", + "uStL4tizKVs/frame_044.jpg", + "uStL4tizKVs/frame_045.jpg", + "uStL4tizKVs/frame_046.jpg", + "uStL4tizKVs/frame_047.jpg", + "uStL4tizKVs/frame_048.jpg", + "uStL4tizKVs/frame_049.jpg", + "uStL4tizKVs/frame_050.jpg", + "uStL4tizKVs/frame_051.jpg", + "uStL4tizKVs/frame_052.jpg", + "uStL4tizKVs/frame_053.jpg", + "uStL4tizKVs/frame_054.jpg", + "uStL4tizKVs/frame_055.jpg", + "uStL4tizKVs/frame_056.jpg", + "uStL4tizKVs/frame_057.jpg", + "uStL4tizKVs/frame_058.jpg", + "uStL4tizKVs/frame_059.jpg", + "uStL4tizKVs/frame_060.jpg", + "uStL4tizKVs/frame_061.jpg", + "uStL4tizKVs/frame_062.jpg", + "uStL4tizKVs/frame_063.jpg", + "uStL4tizKVs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man standing beside a white car before getting in and driving while speaking. He wears a black hat and glasses." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0016", + "input": { + "video_file_list": [ + "rINca8OLjBc/frame_001.jpg", + "rINca8OLjBc/frame_002.jpg", + "rINca8OLjBc/frame_003.jpg", + "rINca8OLjBc/frame_004.jpg", + "rINca8OLjBc/frame_005.jpg", + "rINca8OLjBc/frame_006.jpg", + "rINca8OLjBc/frame_007.jpg", + "rINca8OLjBc/frame_008.jpg", + "rINca8OLjBc/frame_009.jpg", + "rINca8OLjBc/frame_010.jpg", + "rINca8OLjBc/frame_011.jpg", + "rINca8OLjBc/frame_012.jpg", + "rINca8OLjBc/frame_013.jpg", + "rINca8OLjBc/frame_014.jpg", + "rINca8OLjBc/frame_015.jpg", + "rINca8OLjBc/frame_016.jpg", + "rINca8OLjBc/frame_017.jpg", + "rINca8OLjBc/frame_018.jpg", + "rINca8OLjBc/frame_019.jpg", + "rINca8OLjBc/frame_020.jpg", + "rINca8OLjBc/frame_021.jpg", + "rINca8OLjBc/frame_022.jpg", + "rINca8OLjBc/frame_023.jpg", + "rINca8OLjBc/frame_024.jpg", + "rINca8OLjBc/frame_025.jpg", + "rINca8OLjBc/frame_026.jpg", + "rINca8OLjBc/frame_027.jpg", + "rINca8OLjBc/frame_028.jpg", + "rINca8OLjBc/frame_029.jpg", + "rINca8OLjBc/frame_030.jpg", + "rINca8OLjBc/frame_031.jpg", + "rINca8OLjBc/frame_032.jpg", + "rINca8OLjBc/frame_033.jpg", + "rINca8OLjBc/frame_034.jpg", + "rINca8OLjBc/frame_035.jpg", + "rINca8OLjBc/frame_036.jpg", + "rINca8OLjBc/frame_037.jpg", + "rINca8OLjBc/frame_038.jpg", + "rINca8OLjBc/frame_039.jpg", + "rINca8OLjBc/frame_040.jpg", + "rINca8OLjBc/frame_041.jpg", + "rINca8OLjBc/frame_042.jpg", + "rINca8OLjBc/frame_043.jpg", + "rINca8OLjBc/frame_044.jpg", + "rINca8OLjBc/frame_045.jpg", + "rINca8OLjBc/frame_046.jpg", + "rINca8OLjBc/frame_047.jpg", + "rINca8OLjBc/frame_048.jpg", + "rINca8OLjBc/frame_049.jpg", + "rINca8OLjBc/frame_050.jpg", + "rINca8OLjBc/frame_051.jpg", + "rINca8OLjBc/frame_052.jpg", + "rINca8OLjBc/frame_053.jpg", + "rINca8OLjBc/frame_054.jpg", + "rINca8OLjBc/frame_055.jpg", + "rINca8OLjBc/frame_056.jpg", + "rINca8OLjBc/frame_057.jpg", + "rINca8OLjBc/frame_058.jpg", + "rINca8OLjBc/frame_059.jpg", + "rINca8OLjBc/frame_060.jpg", + "rINca8OLjBc/frame_061.jpg", + "rINca8OLjBc/frame_062.jpg", + "rINca8OLjBc/frame_063.jpg", + "rINca8OLjBc/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a white Audi driving on a street, with surrounding vehicles and pedestrians in the background. It showcases the car from various angles\u2014front, rear, and side views\u2014and also includes a nighttime shot of the car parked by the roadside." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0007", + "input": { + "video_file_list": [ + "69Iv1tIPiGQ/frame_001.jpg", + "69Iv1tIPiGQ/frame_002.jpg", + "69Iv1tIPiGQ/frame_003.jpg", + "69Iv1tIPiGQ/frame_004.jpg", + "69Iv1tIPiGQ/frame_005.jpg", + "69Iv1tIPiGQ/frame_006.jpg", + "69Iv1tIPiGQ/frame_007.jpg", + "69Iv1tIPiGQ/frame_008.jpg", + "69Iv1tIPiGQ/frame_009.jpg", + "69Iv1tIPiGQ/frame_010.jpg", + "69Iv1tIPiGQ/frame_011.jpg", + "69Iv1tIPiGQ/frame_012.jpg", + "69Iv1tIPiGQ/frame_013.jpg", + "69Iv1tIPiGQ/frame_014.jpg", + "69Iv1tIPiGQ/frame_015.jpg", + "69Iv1tIPiGQ/frame_016.jpg", + "69Iv1tIPiGQ/frame_017.jpg", + "69Iv1tIPiGQ/frame_018.jpg", + "69Iv1tIPiGQ/frame_019.jpg", + "69Iv1tIPiGQ/frame_020.jpg", + "69Iv1tIPiGQ/frame_021.jpg", + "69Iv1tIPiGQ/frame_022.jpg", + "69Iv1tIPiGQ/frame_023.jpg", + "69Iv1tIPiGQ/frame_024.jpg", + "69Iv1tIPiGQ/frame_025.jpg", + "69Iv1tIPiGQ/frame_026.jpg", + "69Iv1tIPiGQ/frame_027.jpg", + "69Iv1tIPiGQ/frame_028.jpg", + "69Iv1tIPiGQ/frame_029.jpg", + "69Iv1tIPiGQ/frame_030.jpg", + "69Iv1tIPiGQ/frame_031.jpg", + "69Iv1tIPiGQ/frame_032.jpg", + "69Iv1tIPiGQ/frame_033.jpg", + "69Iv1tIPiGQ/frame_034.jpg", + "69Iv1tIPiGQ/frame_035.jpg", + "69Iv1tIPiGQ/frame_036.jpg", + "69Iv1tIPiGQ/frame_037.jpg", + "69Iv1tIPiGQ/frame_038.jpg", + "69Iv1tIPiGQ/frame_039.jpg", + "69Iv1tIPiGQ/frame_040.jpg", + "69Iv1tIPiGQ/frame_041.jpg", + "69Iv1tIPiGQ/frame_042.jpg", + "69Iv1tIPiGQ/frame_043.jpg", + "69Iv1tIPiGQ/frame_044.jpg", + "69Iv1tIPiGQ/frame_045.jpg", + "69Iv1tIPiGQ/frame_046.jpg", + "69Iv1tIPiGQ/frame_047.jpg", + "69Iv1tIPiGQ/frame_048.jpg", + "69Iv1tIPiGQ/frame_049.jpg", + "69Iv1tIPiGQ/frame_050.jpg", + "69Iv1tIPiGQ/frame_051.jpg", + "69Iv1tIPiGQ/frame_052.jpg", + "69Iv1tIPiGQ/frame_053.jpg", + "69Iv1tIPiGQ/frame_054.jpg", + "69Iv1tIPiGQ/frame_055.jpg", + "69Iv1tIPiGQ/frame_056.jpg", + "69Iv1tIPiGQ/frame_057.jpg", + "69Iv1tIPiGQ/frame_058.jpg", + "69Iv1tIPiGQ/frame_059.jpg", + "69Iv1tIPiGQ/frame_060.jpg", + "69Iv1tIPiGQ/frame_061.jpg", + "69Iv1tIPiGQ/frame_062.jpg", + "69Iv1tIPiGQ/frame_063.jpg", + "69Iv1tIPiGQ/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man walking onto a red carpet, entering a vehicle, and departing. Later, he is shown at an event enjoying food and dancing with attendees." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0011", + "input": { + "video_file_list": [ + "n8vf9EJBBfw/frame_001.jpg", + "n8vf9EJBBfw/frame_002.jpg", + "n8vf9EJBBfw/frame_003.jpg", + "n8vf9EJBBfw/frame_004.jpg", + "n8vf9EJBBfw/frame_005.jpg", + "n8vf9EJBBfw/frame_006.jpg", + "n8vf9EJBBfw/frame_007.jpg", + "n8vf9EJBBfw/frame_008.jpg", + "n8vf9EJBBfw/frame_009.jpg", + "n8vf9EJBBfw/frame_010.jpg", + "n8vf9EJBBfw/frame_011.jpg", + "n8vf9EJBBfw/frame_012.jpg", + "n8vf9EJBBfw/frame_013.jpg", + "n8vf9EJBBfw/frame_014.jpg", + "n8vf9EJBBfw/frame_015.jpg", + "n8vf9EJBBfw/frame_016.jpg", + "n8vf9EJBBfw/frame_017.jpg", + "n8vf9EJBBfw/frame_018.jpg", + "n8vf9EJBBfw/frame_019.jpg", + "n8vf9EJBBfw/frame_020.jpg", + "n8vf9EJBBfw/frame_021.jpg", + "n8vf9EJBBfw/frame_022.jpg", + "n8vf9EJBBfw/frame_023.jpg", + "n8vf9EJBBfw/frame_024.jpg", + "n8vf9EJBBfw/frame_025.jpg", + "n8vf9EJBBfw/frame_026.jpg", + "n8vf9EJBBfw/frame_027.jpg", + "n8vf9EJBBfw/frame_028.jpg", + "n8vf9EJBBfw/frame_029.jpg", + "n8vf9EJBBfw/frame_030.jpg", + "n8vf9EJBBfw/frame_031.jpg", + "n8vf9EJBBfw/frame_032.jpg", + "n8vf9EJBBfw/frame_033.jpg", + "n8vf9EJBBfw/frame_034.jpg", + "n8vf9EJBBfw/frame_035.jpg", + "n8vf9EJBBfw/frame_036.jpg", + "n8vf9EJBBfw/frame_037.jpg", + "n8vf9EJBBfw/frame_038.jpg", + "n8vf9EJBBfw/frame_039.jpg", + "n8vf9EJBBfw/frame_040.jpg", + "n8vf9EJBBfw/frame_041.jpg", + "n8vf9EJBBfw/frame_042.jpg", + "n8vf9EJBBfw/frame_043.jpg", + "n8vf9EJBBfw/frame_044.jpg", + "n8vf9EJBBfw/frame_045.jpg", + "n8vf9EJBBfw/frame_046.jpg", + "n8vf9EJBBfw/frame_047.jpg", + "n8vf9EJBBfw/frame_048.jpg", + "n8vf9EJBBfw/frame_049.jpg", + "n8vf9EJBBfw/frame_050.jpg", + "n8vf9EJBBfw/frame_051.jpg", + "n8vf9EJBBfw/frame_052.jpg", + "n8vf9EJBBfw/frame_053.jpg", + "n8vf9EJBBfw/frame_054.jpg", + "n8vf9EJBBfw/frame_055.jpg", + "n8vf9EJBBfw/frame_056.jpg", + "n8vf9EJBBfw/frame_057.jpg", + "n8vf9EJBBfw/frame_058.jpg", + "n8vf9EJBBfw/frame_059.jpg", + "n8vf9EJBBfw/frame_060.jpg", + "n8vf9EJBBfw/frame_061.jpg", + "n8vf9EJBBfw/frame_062.jpg", + "n8vf9EJBBfw/frame_063.jpg", + "n8vf9EJBBfw/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a car crash test involving a Volvo XC60, conducted by Euro NCAP, with a dummy simulating a passenger. It also shows a yellow car flipping during the test." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0001", + "input": { + "video_file_list": [ + "ieeadUnDv0o/frame_001.jpg", + "ieeadUnDv0o/frame_002.jpg", + "ieeadUnDv0o/frame_003.jpg", + "ieeadUnDv0o/frame_004.jpg", + "ieeadUnDv0o/frame_005.jpg", + "ieeadUnDv0o/frame_006.jpg", + "ieeadUnDv0o/frame_007.jpg", + "ieeadUnDv0o/frame_008.jpg", + "ieeadUnDv0o/frame_009.jpg", + "ieeadUnDv0o/frame_010.jpg", + "ieeadUnDv0o/frame_011.jpg", + "ieeadUnDv0o/frame_012.jpg", + "ieeadUnDv0o/frame_013.jpg", + "ieeadUnDv0o/frame_014.jpg", + "ieeadUnDv0o/frame_015.jpg", + "ieeadUnDv0o/frame_016.jpg", + "ieeadUnDv0o/frame_017.jpg", + "ieeadUnDv0o/frame_018.jpg", + "ieeadUnDv0o/frame_019.jpg", + "ieeadUnDv0o/frame_020.jpg", + "ieeadUnDv0o/frame_021.jpg", + "ieeadUnDv0o/frame_022.jpg", + "ieeadUnDv0o/frame_023.jpg", + "ieeadUnDv0o/frame_024.jpg", + "ieeadUnDv0o/frame_025.jpg", + "ieeadUnDv0o/frame_026.jpg", + "ieeadUnDv0o/frame_027.jpg", + "ieeadUnDv0o/frame_028.jpg", + "ieeadUnDv0o/frame_029.jpg", + "ieeadUnDv0o/frame_030.jpg", + "ieeadUnDv0o/frame_031.jpg", + "ieeadUnDv0o/frame_032.jpg", + "ieeadUnDv0o/frame_033.jpg", + "ieeadUnDv0o/frame_034.jpg", + "ieeadUnDv0o/frame_035.jpg", + "ieeadUnDv0o/frame_036.jpg", + "ieeadUnDv0o/frame_037.jpg", + "ieeadUnDv0o/frame_038.jpg", + "ieeadUnDv0o/frame_039.jpg", + "ieeadUnDv0o/frame_040.jpg", + "ieeadUnDv0o/frame_041.jpg", + "ieeadUnDv0o/frame_042.jpg", + "ieeadUnDv0o/frame_043.jpg", + "ieeadUnDv0o/frame_044.jpg", + "ieeadUnDv0o/frame_045.jpg", + "ieeadUnDv0o/frame_046.jpg", + "ieeadUnDv0o/frame_047.jpg", + "ieeadUnDv0o/frame_048.jpg", + "ieeadUnDv0o/frame_049.jpg", + "ieeadUnDv0o/frame_050.jpg", + "ieeadUnDv0o/frame_051.jpg", + "ieeadUnDv0o/frame_052.jpg", + "ieeadUnDv0o/frame_053.jpg", + "ieeadUnDv0o/frame_054.jpg", + "ieeadUnDv0o/frame_055.jpg", + "ieeadUnDv0o/frame_056.jpg", + "ieeadUnDv0o/frame_057.jpg", + "ieeadUnDv0o/frame_058.jpg", + "ieeadUnDv0o/frame_059.jpg", + "ieeadUnDv0o/frame_060.jpg", + "ieeadUnDv0o/frame_061.jpg", + "ieeadUnDv0o/frame_062.jpg", + "ieeadUnDv0o/frame_063.jpg", + "ieeadUnDv0o/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a helicopter flying over a car in the desert, with subsequent scenes of cars navigating rough terrain and jumping over obstacles. Both moving and stationary views of the cars are included." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0005", + "input": { + "video_file_list": [ + "iHzzSao6ypE/frame_001.jpg", + "iHzzSao6ypE/frame_002.jpg", + "iHzzSao6ypE/frame_003.jpg", + "iHzzSao6ypE/frame_004.jpg", + "iHzzSao6ypE/frame_005.jpg", + "iHzzSao6ypE/frame_006.jpg", + "iHzzSao6ypE/frame_007.jpg", + "iHzzSao6ypE/frame_008.jpg", + "iHzzSao6ypE/frame_009.jpg", + "iHzzSao6ypE/frame_010.jpg", + "iHzzSao6ypE/frame_011.jpg", + "iHzzSao6ypE/frame_012.jpg", + "iHzzSao6ypE/frame_013.jpg", + "iHzzSao6ypE/frame_014.jpg", + "iHzzSao6ypE/frame_015.jpg", + "iHzzSao6ypE/frame_016.jpg", + "iHzzSao6ypE/frame_017.jpg", + "iHzzSao6ypE/frame_018.jpg", + "iHzzSao6ypE/frame_019.jpg", + "iHzzSao6ypE/frame_020.jpg", + "iHzzSao6ypE/frame_021.jpg", + "iHzzSao6ypE/frame_022.jpg", + "iHzzSao6ypE/frame_023.jpg", + "iHzzSao6ypE/frame_024.jpg", + "iHzzSao6ypE/frame_025.jpg", + "iHzzSao6ypE/frame_026.jpg", + "iHzzSao6ypE/frame_027.jpg", + "iHzzSao6ypE/frame_028.jpg", + "iHzzSao6ypE/frame_029.jpg", + "iHzzSao6ypE/frame_030.jpg", + "iHzzSao6ypE/frame_031.jpg", + "iHzzSao6ypE/frame_032.jpg", + "iHzzSao6ypE/frame_033.jpg", + "iHzzSao6ypE/frame_034.jpg", + "iHzzSao6ypE/frame_035.jpg", + "iHzzSao6ypE/frame_036.jpg", + "iHzzSao6ypE/frame_037.jpg", + "iHzzSao6ypE/frame_038.jpg", + "iHzzSao6ypE/frame_039.jpg", + "iHzzSao6ypE/frame_040.jpg", + "iHzzSao6ypE/frame_041.jpg", + "iHzzSao6ypE/frame_042.jpg", + "iHzzSao6ypE/frame_043.jpg", + "iHzzSao6ypE/frame_044.jpg", + "iHzzSao6ypE/frame_045.jpg", + "iHzzSao6ypE/frame_046.jpg", + "iHzzSao6ypE/frame_047.jpg", + "iHzzSao6ypE/frame_048.jpg", + "iHzzSao6ypE/frame_049.jpg", + "iHzzSao6ypE/frame_050.jpg", + "iHzzSao6ypE/frame_051.jpg", + "iHzzSao6ypE/frame_052.jpg", + "iHzzSao6ypE/frame_053.jpg", + "iHzzSao6ypE/frame_054.jpg", + "iHzzSao6ypE/frame_055.jpg", + "iHzzSao6ypE/frame_056.jpg", + "iHzzSao6ypE/frame_057.jpg", + "iHzzSao6ypE/frame_058.jpg", + "iHzzSao6ypE/frame_059.jpg", + "iHzzSao6ypE/frame_060.jpg", + "iHzzSao6ypE/frame_061.jpg", + "iHzzSao6ypE/frame_062.jpg", + "iHzzSao6ypE/frame_063.jpg", + "iHzzSao6ypE/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a cartoon scene with cars on the road, a chicken crossing, and a traffic light. It also includes a man presenting on traffic solutions." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0010", + "input": { + "video_file_list": [ + "IxR2aBZo0zM/frame_001.jpg", + "IxR2aBZo0zM/frame_002.jpg", + "IxR2aBZo0zM/frame_003.jpg", + "IxR2aBZo0zM/frame_004.jpg", + "IxR2aBZo0zM/frame_005.jpg", + "IxR2aBZo0zM/frame_006.jpg", + "IxR2aBZo0zM/frame_007.jpg", + "IxR2aBZo0zM/frame_008.jpg", + "IxR2aBZo0zM/frame_009.jpg", + "IxR2aBZo0zM/frame_010.jpg", + "IxR2aBZo0zM/frame_011.jpg", + "IxR2aBZo0zM/frame_012.jpg", + "IxR2aBZo0zM/frame_013.jpg", + "IxR2aBZo0zM/frame_014.jpg", + "IxR2aBZo0zM/frame_015.jpg", + "IxR2aBZo0zM/frame_016.jpg", + "IxR2aBZo0zM/frame_017.jpg", + "IxR2aBZo0zM/frame_018.jpg", + "IxR2aBZo0zM/frame_019.jpg", + "IxR2aBZo0zM/frame_020.jpg", + "IxR2aBZo0zM/frame_021.jpg", + "IxR2aBZo0zM/frame_022.jpg", + "IxR2aBZo0zM/frame_023.jpg", + "IxR2aBZo0zM/frame_024.jpg", + "IxR2aBZo0zM/frame_025.jpg", + "IxR2aBZo0zM/frame_026.jpg", + "IxR2aBZo0zM/frame_027.jpg", + "IxR2aBZo0zM/frame_028.jpg", + "IxR2aBZo0zM/frame_029.jpg", + "IxR2aBZo0zM/frame_030.jpg", + "IxR2aBZo0zM/frame_031.jpg", + "IxR2aBZo0zM/frame_032.jpg", + "IxR2aBZo0zM/frame_033.jpg", + "IxR2aBZo0zM/frame_034.jpg", + "IxR2aBZo0zM/frame_035.jpg", + "IxR2aBZo0zM/frame_036.jpg", + "IxR2aBZo0zM/frame_037.jpg", + "IxR2aBZo0zM/frame_038.jpg", + "IxR2aBZo0zM/frame_039.jpg", + "IxR2aBZo0zM/frame_040.jpg", + "IxR2aBZo0zM/frame_041.jpg", + "IxR2aBZo0zM/frame_042.jpg", + "IxR2aBZo0zM/frame_043.jpg", + "IxR2aBZo0zM/frame_044.jpg", + "IxR2aBZo0zM/frame_045.jpg", + "IxR2aBZo0zM/frame_046.jpg", + "IxR2aBZo0zM/frame_047.jpg", + "IxR2aBZo0zM/frame_048.jpg", + "IxR2aBZo0zM/frame_049.jpg", + "IxR2aBZo0zM/frame_050.jpg", + "IxR2aBZo0zM/frame_051.jpg", + "IxR2aBZo0zM/frame_052.jpg", + "IxR2aBZo0zM/frame_053.jpg", + "IxR2aBZo0zM/frame_054.jpg", + "IxR2aBZo0zM/frame_055.jpg", + "IxR2aBZo0zM/frame_056.jpg", + "IxR2aBZo0zM/frame_057.jpg", + "IxR2aBZo0zM/frame_058.jpg", + "IxR2aBZo0zM/frame_059.jpg", + "IxR2aBZo0zM/frame_060.jpg", + "IxR2aBZo0zM/frame_061.jpg", + "IxR2aBZo0zM/frame_062.jpg", + "IxR2aBZo0zM/frame_063.jpg", + "IxR2aBZo0zM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a cartoon panda driving a police car in pursuit of a thief who is fleeing with a bag of money. The chase concludes with the panda catching the thief and recovering the stolen money." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0017", + "input": { + "video_file_list": [ + "hA_sVbZVbJQ/frame_001.jpg", + "hA_sVbZVbJQ/frame_002.jpg", + "hA_sVbZVbJQ/frame_003.jpg", + "hA_sVbZVbJQ/frame_004.jpg", + "hA_sVbZVbJQ/frame_005.jpg", + "hA_sVbZVbJQ/frame_006.jpg", + "hA_sVbZVbJQ/frame_007.jpg", + "hA_sVbZVbJQ/frame_008.jpg", + "hA_sVbZVbJQ/frame_009.jpg", + "hA_sVbZVbJQ/frame_010.jpg", + "hA_sVbZVbJQ/frame_011.jpg", + "hA_sVbZVbJQ/frame_012.jpg", + "hA_sVbZVbJQ/frame_013.jpg", + "hA_sVbZVbJQ/frame_014.jpg", + "hA_sVbZVbJQ/frame_015.jpg", + "hA_sVbZVbJQ/frame_016.jpg", + "hA_sVbZVbJQ/frame_017.jpg", + "hA_sVbZVbJQ/frame_018.jpg", + "hA_sVbZVbJQ/frame_019.jpg", + "hA_sVbZVbJQ/frame_020.jpg", + "hA_sVbZVbJQ/frame_021.jpg", + "hA_sVbZVbJQ/frame_022.jpg", + "hA_sVbZVbJQ/frame_023.jpg", + "hA_sVbZVbJQ/frame_024.jpg", + "hA_sVbZVbJQ/frame_025.jpg", + "hA_sVbZVbJQ/frame_026.jpg", + "hA_sVbZVbJQ/frame_027.jpg", + "hA_sVbZVbJQ/frame_028.jpg", + "hA_sVbZVbJQ/frame_029.jpg", + "hA_sVbZVbJQ/frame_030.jpg", + "hA_sVbZVbJQ/frame_031.jpg", + "hA_sVbZVbJQ/frame_032.jpg", + "hA_sVbZVbJQ/frame_033.jpg", + "hA_sVbZVbJQ/frame_034.jpg", + "hA_sVbZVbJQ/frame_035.jpg", + "hA_sVbZVbJQ/frame_036.jpg", + "hA_sVbZVbJQ/frame_037.jpg", + "hA_sVbZVbJQ/frame_038.jpg", + "hA_sVbZVbJQ/frame_039.jpg", + "hA_sVbZVbJQ/frame_040.jpg", + "hA_sVbZVbJQ/frame_041.jpg", + "hA_sVbZVbJQ/frame_042.jpg", + "hA_sVbZVbJQ/frame_043.jpg", + "hA_sVbZVbJQ/frame_044.jpg", + "hA_sVbZVbJQ/frame_045.jpg", + "hA_sVbZVbJQ/frame_046.jpg", + "hA_sVbZVbJQ/frame_047.jpg", + "hA_sVbZVbJQ/frame_048.jpg", + "hA_sVbZVbJQ/frame_049.jpg", + "hA_sVbZVbJQ/frame_050.jpg", + "hA_sVbZVbJQ/frame_051.jpg", + "hA_sVbZVbJQ/frame_052.jpg", + "hA_sVbZVbJQ/frame_053.jpg", + "hA_sVbZVbJQ/frame_054.jpg", + "hA_sVbZVbJQ/frame_055.jpg", + "hA_sVbZVbJQ/frame_056.jpg", + "hA_sVbZVbJQ/frame_057.jpg", + "hA_sVbZVbJQ/frame_058.jpg", + "hA_sVbZVbJQ/frame_059.jpg", + "hA_sVbZVbJQ/frame_060.jpg", + "hA_sVbZVbJQ/frame_061.jpg", + "hA_sVbZVbJQ/frame_062.jpg", + "hA_sVbZVbJQ/frame_063.jpg", + "hA_sVbZVbJQ/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone holding a car key before entering a white Lexus SUV with red interior. The camera then circles the inside of the vehicle, showcasing elements like the dashboard, steering wheel, and rear seat." + } + }, + { + "id": "vc_closeset_autosandvehiclesvideocaptioning_0014", + "input": { + "video_file_list": [ + "1QGLu5MRTi0/frame_001.jpg", + "1QGLu5MRTi0/frame_002.jpg", + "1QGLu5MRTi0/frame_003.jpg", + "1QGLu5MRTi0/frame_004.jpg", + "1QGLu5MRTi0/frame_005.jpg", + "1QGLu5MRTi0/frame_006.jpg", + "1QGLu5MRTi0/frame_007.jpg", + "1QGLu5MRTi0/frame_008.jpg", + "1QGLu5MRTi0/frame_009.jpg", + "1QGLu5MRTi0/frame_010.jpg", + "1QGLu5MRTi0/frame_011.jpg", + "1QGLu5MRTi0/frame_012.jpg", + "1QGLu5MRTi0/frame_013.jpg", + "1QGLu5MRTi0/frame_014.jpg", + "1QGLu5MRTi0/frame_015.jpg", + "1QGLu5MRTi0/frame_016.jpg", + "1QGLu5MRTi0/frame_017.jpg", + "1QGLu5MRTi0/frame_018.jpg", + "1QGLu5MRTi0/frame_019.jpg", + "1QGLu5MRTi0/frame_020.jpg", + "1QGLu5MRTi0/frame_021.jpg", + "1QGLu5MRTi0/frame_022.jpg", + "1QGLu5MRTi0/frame_023.jpg", + "1QGLu5MRTi0/frame_024.jpg", + "1QGLu5MRTi0/frame_025.jpg", + "1QGLu5MRTi0/frame_026.jpg", + "1QGLu5MRTi0/frame_027.jpg", + "1QGLu5MRTi0/frame_028.jpg", + "1QGLu5MRTi0/frame_029.jpg", + "1QGLu5MRTi0/frame_030.jpg", + "1QGLu5MRTi0/frame_031.jpg", + "1QGLu5MRTi0/frame_032.jpg", + "1QGLu5MRTi0/frame_033.jpg", + "1QGLu5MRTi0/frame_034.jpg", + "1QGLu5MRTi0/frame_035.jpg", + "1QGLu5MRTi0/frame_036.jpg", + "1QGLu5MRTi0/frame_037.jpg", + "1QGLu5MRTi0/frame_038.jpg", + "1QGLu5MRTi0/frame_039.jpg", + "1QGLu5MRTi0/frame_040.jpg", + "1QGLu5MRTi0/frame_041.jpg", + "1QGLu5MRTi0/frame_042.jpg", + "1QGLu5MRTi0/frame_043.jpg", + "1QGLu5MRTi0/frame_044.jpg", + "1QGLu5MRTi0/frame_045.jpg", + "1QGLu5MRTi0/frame_046.jpg", + "1QGLu5MRTi0/frame_047.jpg", + "1QGLu5MRTi0/frame_048.jpg", + "1QGLu5MRTi0/frame_049.jpg", + "1QGLu5MRTi0/frame_050.jpg", + "1QGLu5MRTi0/frame_051.jpg", + "1QGLu5MRTi0/frame_052.jpg", + "1QGLu5MRTi0/frame_053.jpg", + "1QGLu5MRTi0/frame_054.jpg", + "1QGLu5MRTi0/frame_055.jpg", + "1QGLu5MRTi0/frame_056.jpg", + "1QGLu5MRTi0/frame_057.jpg", + "1QGLu5MRTi0/frame_058.jpg", + "1QGLu5MRTi0/frame_059.jpg", + "1QGLu5MRTi0/frame_060.jpg", + "1QGLu5MRTi0/frame_061.jpg", + "1QGLu5MRTi0/frame_062.jpg", + "1QGLu5MRTi0/frame_063.jpg", + "1QGLu5MRTi0/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man driving a car while addressing the camera. He wears a camouflage shirt and is speaking in Chinese. The car's dashboard is also shown, featuring several gauges and displays." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BallGameVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BallGameVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a139661ed53b4f79ea1d78ac12372c85876b736f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BallGameVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "BallGameVideoQuestionAnswering", + "data_source": "sportsqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_ballgamevideoquestionanswering_0014", + "input": { + "video_file_list": [ + "v_BgwzTUxJaeU_c003_00/0.jpg", + "v_BgwzTUxJaeU_c003_00/1.jpg", + "v_BgwzTUxJaeU_c003_00/2.jpg", + "v_BgwzTUxJaeU_c003_00/3.jpg", + "v_BgwzTUxJaeU_c003_00/4.jpg", + "v_BgwzTUxJaeU_c003_00/5.jpg", + "v_BgwzTUxJaeU_c003_00/6.jpg", + "v_BgwzTUxJaeU_c003_00/7.jpg", + "v_BgwzTUxJaeU_c003_00/8.jpg", + "v_BgwzTUxJaeU_c003_00/9.jpg", + "v_BgwzTUxJaeU_c003_00/10.jpg", + "v_BgwzTUxJaeU_c003_00/11.jpg", + "v_BgwzTUxJaeU_c003_00/12.jpg", + "v_BgwzTUxJaeU_c003_00/13.jpg", + "v_BgwzTUxJaeU_c003_00/14.jpg", + "v_BgwzTUxJaeU_c003_00/15.jpg", + "v_BgwzTUxJaeU_c003_00/16.jpg", + "v_BgwzTUxJaeU_c003_00/17.jpg", + "v_BgwzTUxJaeU_c003_00/18.jpg", + "v_BgwzTUxJaeU_c003_00/19.jpg", + "v_BgwzTUxJaeU_c003_00/20.jpg", + "v_BgwzTUxJaeU_c003_00/21.jpg", + "v_BgwzTUxJaeU_c003_00/22.jpg", + "v_BgwzTUxJaeU_c003_00/23.jpg", + "v_BgwzTUxJaeU_c003_00/24.jpg", + "v_BgwzTUxJaeU_c003_00/25.jpg", + "v_BgwzTUxJaeU_c003_00/26.jpg", + "v_BgwzTUxJaeU_c003_00/27.jpg", + "v_BgwzTUxJaeU_c003_00/28.jpg", + "v_BgwzTUxJaeU_c003_00/29.jpg", + "v_BgwzTUxJaeU_c003_00/30.jpg", + "v_BgwzTUxJaeU_c003_00/31.jpg", + "v_BgwzTUxJaeU_c003_00/32.jpg", + "v_BgwzTUxJaeU_c003_00/33.jpg", + "v_BgwzTUxJaeU_c003_00/34.jpg", + "v_BgwzTUxJaeU_c003_00/35.jpg", + "v_BgwzTUxJaeU_c003_00/36.jpg", + "v_BgwzTUxJaeU_c003_00/37.jpg", + "v_BgwzTUxJaeU_c003_00/38.jpg", + "v_BgwzTUxJaeU_c003_00/39.jpg", + "v_BgwzTUxJaeU_c003_00/40.jpg", + "v_BgwzTUxJaeU_c003_00/41.jpg", + "v_BgwzTUxJaeU_c003_00/42.jpg", + "v_BgwzTUxJaeU_c003_00/43.jpg", + "v_BgwzTUxJaeU_c003_00/44.jpg", + "v_BgwzTUxJaeU_c003_00/45.jpg", + "v_BgwzTUxJaeU_c003_00/46.jpg", + "v_BgwzTUxJaeU_c003_00/47.jpg", + "v_BgwzTUxJaeU_c003_00/48.jpg", + "v_BgwzTUxJaeU_c003_00/49.jpg", + "v_BgwzTUxJaeU_c003_00/50.jpg", + "v_BgwzTUxJaeU_c003_00/51.jpg", + "v_BgwzTUxJaeU_c003_00/52.jpg", + "v_BgwzTUxJaeU_c003_00/53.jpg", + "v_BgwzTUxJaeU_c003_00/54.jpg", + "v_BgwzTUxJaeU_c003_00/55.jpg", + "v_BgwzTUxJaeU_c003_00/56.jpg", + "v_BgwzTUxJaeU_c003_00/57.jpg", + "v_BgwzTUxJaeU_c003_00/58.jpg", + "v_BgwzTUxJaeU_c003_00/59.jpg", + "v_BgwzTUxJaeU_c003_00/60.jpg", + "v_BgwzTUxJaeU_c003_00/61.jpg", + "v_BgwzTUxJaeU_c003_00/62.jpg", + "v_BgwzTUxJaeU_c003_00/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. 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Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0009", + "input": { + "video_file_list": [ + "v_f6a3B499nwY_c007_00/0.jpg", + "v_f6a3B499nwY_c007_00/1.jpg", + "v_f6a3B499nwY_c007_00/2.jpg", + "v_f6a3B499nwY_c007_00/3.jpg", + "v_f6a3B499nwY_c007_00/4.jpg", + "v_f6a3B499nwY_c007_00/5.jpg", + "v_f6a3B499nwY_c007_00/6.jpg", + "v_f6a3B499nwY_c007_00/7.jpg", + "v_f6a3B499nwY_c007_00/8.jpg", + "v_f6a3B499nwY_c007_00/9.jpg", + "v_f6a3B499nwY_c007_00/10.jpg", + "v_f6a3B499nwY_c007_00/11.jpg", + "v_f6a3B499nwY_c007_00/12.jpg", + "v_f6a3B499nwY_c007_00/13.jpg", + "v_f6a3B499nwY_c007_00/14.jpg", + "v_f6a3B499nwY_c007_00/15.jpg", + "v_f6a3B499nwY_c007_00/16.jpg", + "v_f6a3B499nwY_c007_00/17.jpg", + "v_f6a3B499nwY_c007_00/18.jpg", + "v_f6a3B499nwY_c007_00/19.jpg", + "v_f6a3B499nwY_c007_00/20.jpg", + "v_f6a3B499nwY_c007_00/21.jpg", + "v_f6a3B499nwY_c007_00/22.jpg", + "v_f6a3B499nwY_c007_00/23.jpg", + "v_f6a3B499nwY_c007_00/24.jpg", + "v_f6a3B499nwY_c007_00/25.jpg", + "v_f6a3B499nwY_c007_00/26.jpg", + "v_f6a3B499nwY_c007_00/27.jpg", + "v_f6a3B499nwY_c007_00/28.jpg", + "v_f6a3B499nwY_c007_00/29.jpg", + "v_f6a3B499nwY_c007_00/30.jpg", + "v_f6a3B499nwY_c007_00/31.jpg", + "v_f6a3B499nwY_c007_00/32.jpg", + "v_f6a3B499nwY_c007_00/33.jpg", + "v_f6a3B499nwY_c007_00/34.jpg", + "v_f6a3B499nwY_c007_00/35.jpg", + "v_f6a3B499nwY_c007_00/36.jpg", + "v_f6a3B499nwY_c007_00/37.jpg", + "v_f6a3B499nwY_c007_00/38.jpg", + "v_f6a3B499nwY_c007_00/39.jpg", + "v_f6a3B499nwY_c007_00/40.jpg", + "v_f6a3B499nwY_c007_00/41.jpg", + "v_f6a3B499nwY_c007_00/42.jpg", + "v_f6a3B499nwY_c007_00/43.jpg", + "v_f6a3B499nwY_c007_00/44.jpg", + "v_f6a3B499nwY_c007_00/45.jpg", + "v_f6a3B499nwY_c007_00/46.jpg", + "v_f6a3B499nwY_c007_00/47.jpg", + "v_f6a3B499nwY_c007_00/48.jpg", + "v_f6a3B499nwY_c007_00/49.jpg", + "v_f6a3B499nwY_c007_00/50.jpg", + "v_f6a3B499nwY_c007_00/51.jpg", + "v_f6a3B499nwY_c007_00/52.jpg", + "v_f6a3B499nwY_c007_00/53.jpg", + "v_f6a3B499nwY_c007_00/54.jpg", + "v_f6a3B499nwY_c007_00/55.jpg", + "v_f6a3B499nwY_c007_00/56.jpg", + "v_f6a3B499nwY_c007_00/57.jpg", + "v_f6a3B499nwY_c007_00/58.jpg", + "v_f6a3B499nwY_c007_00/59.jpg", + "v_f6a3B499nwY_c007_00/60.jpg", + "v_f6a3B499nwY_c007_00/61.jpg", + "v_f6a3B499nwY_c007_00/62.jpg", + "v_f6a3B499nwY_c007_00/63.jpg" + ], + "prompt": "What is the video about?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0148", + "input": { + "video_file_list": [ + "v_It_vvQR6RPM_c009_00/0.jpg", + "v_It_vvQR6RPM_c009_00/1.jpg", + "v_It_vvQR6RPM_c009_00/2.jpg", + "v_It_vvQR6RPM_c009_00/3.jpg", + "v_It_vvQR6RPM_c009_00/4.jpg", + "v_It_vvQR6RPM_c009_00/5.jpg", + "v_It_vvQR6RPM_c009_00/6.jpg", + "v_It_vvQR6RPM_c009_00/7.jpg", + "v_It_vvQR6RPM_c009_00/8.jpg", + "v_It_vvQR6RPM_c009_00/9.jpg", + "v_It_vvQR6RPM_c009_00/10.jpg", + "v_It_vvQR6RPM_c009_00/11.jpg", + "v_It_vvQR6RPM_c009_00/12.jpg", + "v_It_vvQR6RPM_c009_00/13.jpg", + "v_It_vvQR6RPM_c009_00/14.jpg", + "v_It_vvQR6RPM_c009_00/15.jpg", + "v_It_vvQR6RPM_c009_00/16.jpg", + "v_It_vvQR6RPM_c009_00/17.jpg", + "v_It_vvQR6RPM_c009_00/18.jpg", + "v_It_vvQR6RPM_c009_00/19.jpg", + "v_It_vvQR6RPM_c009_00/20.jpg", + "v_It_vvQR6RPM_c009_00/21.jpg", + "v_It_vvQR6RPM_c009_00/22.jpg", + "v_It_vvQR6RPM_c009_00/23.jpg", + "v_It_vvQR6RPM_c009_00/24.jpg", + "v_It_vvQR6RPM_c009_00/25.jpg", + "v_It_vvQR6RPM_c009_00/26.jpg", + "v_It_vvQR6RPM_c009_00/27.jpg", + "v_It_vvQR6RPM_c009_00/28.jpg", + "v_It_vvQR6RPM_c009_00/29.jpg", + "v_It_vvQR6RPM_c009_00/30.jpg", + "v_It_vvQR6RPM_c009_00/31.jpg", + "v_It_vvQR6RPM_c009_00/32.jpg", + "v_It_vvQR6RPM_c009_00/33.jpg", + "v_It_vvQR6RPM_c009_00/34.jpg", + "v_It_vvQR6RPM_c009_00/35.jpg", + "v_It_vvQR6RPM_c009_00/36.jpg", + "v_It_vvQR6RPM_c009_00/37.jpg", + "v_It_vvQR6RPM_c009_00/38.jpg", + "v_It_vvQR6RPM_c009_00/39.jpg", + "v_It_vvQR6RPM_c009_00/40.jpg", + "v_It_vvQR6RPM_c009_00/41.jpg", + "v_It_vvQR6RPM_c009_00/42.jpg", + "v_It_vvQR6RPM_c009_00/43.jpg", + "v_It_vvQR6RPM_c009_00/44.jpg", + "v_It_vvQR6RPM_c009_00/45.jpg", + "v_It_vvQR6RPM_c009_00/46.jpg", + "v_It_vvQR6RPM_c009_00/47.jpg", + "v_It_vvQR6RPM_c009_00/48.jpg", + "v_It_vvQR6RPM_c009_00/49.jpg", + "v_It_vvQR6RPM_c009_00/50.jpg", + "v_It_vvQR6RPM_c009_00/51.jpg", + "v_It_vvQR6RPM_c009_00/52.jpg", + "v_It_vvQR6RPM_c009_00/53.jpg", + "v_It_vvQR6RPM_c009_00/54.jpg", + "v_It_vvQR6RPM_c009_00/55.jpg", + "v_It_vvQR6RPM_c009_00/56.jpg", + "v_It_vvQR6RPM_c009_00/57.jpg", + "v_It_vvQR6RPM_c009_00/58.jpg", + "v_It_vvQR6RPM_c009_00/59.jpg", + "v_It_vvQR6RPM_c009_00/60.jpg", + "v_It_vvQR6RPM_c009_00/61.jpg", + "v_It_vvQR6RPM_c009_00/62.jpg", + "v_It_vvQR6RPM_c009_00/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. 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Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0122", + "input": { + "video_file_list": [ + "v_-9kabh1K8UA_c008_01/0.jpg", + "v_-9kabh1K8UA_c008_01/1.jpg", + "v_-9kabh1K8UA_c008_01/2.jpg", + "v_-9kabh1K8UA_c008_01/3.jpg", + "v_-9kabh1K8UA_c008_01/4.jpg", + "v_-9kabh1K8UA_c008_01/5.jpg", + "v_-9kabh1K8UA_c008_01/6.jpg", + "v_-9kabh1K8UA_c008_01/7.jpg", + "v_-9kabh1K8UA_c008_01/8.jpg", + "v_-9kabh1K8UA_c008_01/9.jpg", + "v_-9kabh1K8UA_c008_01/10.jpg", + "v_-9kabh1K8UA_c008_01/11.jpg", + "v_-9kabh1K8UA_c008_01/12.jpg", + "v_-9kabh1K8UA_c008_01/13.jpg", + "v_-9kabh1K8UA_c008_01/14.jpg", + "v_-9kabh1K8UA_c008_01/15.jpg", + "v_-9kabh1K8UA_c008_01/16.jpg", + "v_-9kabh1K8UA_c008_01/17.jpg", + "v_-9kabh1K8UA_c008_01/18.jpg", + "v_-9kabh1K8UA_c008_01/19.jpg", + "v_-9kabh1K8UA_c008_01/20.jpg", + "v_-9kabh1K8UA_c008_01/21.jpg", + "v_-9kabh1K8UA_c008_01/22.jpg", + "v_-9kabh1K8UA_c008_01/23.jpg", + "v_-9kabh1K8UA_c008_01/24.jpg", + "v_-9kabh1K8UA_c008_01/25.jpg", + "v_-9kabh1K8UA_c008_01/26.jpg", + "v_-9kabh1K8UA_c008_01/27.jpg", + "v_-9kabh1K8UA_c008_01/28.jpg", + "v_-9kabh1K8UA_c008_01/29.jpg", + "v_-9kabh1K8UA_c008_01/30.jpg", + "v_-9kabh1K8UA_c008_01/31.jpg", + "v_-9kabh1K8UA_c008_01/32.jpg", + "v_-9kabh1K8UA_c008_01/33.jpg", + "v_-9kabh1K8UA_c008_01/34.jpg", + "v_-9kabh1K8UA_c008_01/35.jpg", + "v_-9kabh1K8UA_c008_01/36.jpg", + "v_-9kabh1K8UA_c008_01/37.jpg", + "v_-9kabh1K8UA_c008_01/38.jpg", + "v_-9kabh1K8UA_c008_01/39.jpg", + "v_-9kabh1K8UA_c008_01/40.jpg", + "v_-9kabh1K8UA_c008_01/41.jpg", + "v_-9kabh1K8UA_c008_01/42.jpg", + "v_-9kabh1K8UA_c008_01/43.jpg", + "v_-9kabh1K8UA_c008_01/44.jpg", + "v_-9kabh1K8UA_c008_01/45.jpg", + "v_-9kabh1K8UA_c008_01/46.jpg", + "v_-9kabh1K8UA_c008_01/47.jpg", + "v_-9kabh1K8UA_c008_01/48.jpg", + "v_-9kabh1K8UA_c008_01/49.jpg", + "v_-9kabh1K8UA_c008_01/50.jpg", + "v_-9kabh1K8UA_c008_01/51.jpg", + "v_-9kabh1K8UA_c008_01/52.jpg", + "v_-9kabh1K8UA_c008_01/53.jpg", + "v_-9kabh1K8UA_c008_01/54.jpg", + "v_-9kabh1K8UA_c008_01/55.jpg", + "v_-9kabh1K8UA_c008_01/56.jpg", + "v_-9kabh1K8UA_c008_01/57.jpg", + "v_-9kabh1K8UA_c008_01/58.jpg", + "v_-9kabh1K8UA_c008_01/59.jpg", + "v_-9kabh1K8UA_c008_01/60.jpg", + "v_-9kabh1K8UA_c008_01/61.jpg", + "v_-9kabh1K8UA_c008_01/62.jpg", + "v_-9kabh1K8UA_c008_01/63.jpg" + ], + "prompt": "What is the video about?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0030", + "input": { + "video_file_list": [ + "v_InvO0NFpSIw_c013_00/0.jpg", + "v_InvO0NFpSIw_c013_00/1.jpg", + "v_InvO0NFpSIw_c013_00/2.jpg", + "v_InvO0NFpSIw_c013_00/3.jpg", + "v_InvO0NFpSIw_c013_00/4.jpg", + "v_InvO0NFpSIw_c013_00/5.jpg", + "v_InvO0NFpSIw_c013_00/6.jpg", + "v_InvO0NFpSIw_c013_00/7.jpg", + "v_InvO0NFpSIw_c013_00/8.jpg", + "v_InvO0NFpSIw_c013_00/9.jpg", + "v_InvO0NFpSIw_c013_00/10.jpg", + "v_InvO0NFpSIw_c013_00/11.jpg", + "v_InvO0NFpSIw_c013_00/12.jpg", + "v_InvO0NFpSIw_c013_00/13.jpg", + "v_InvO0NFpSIw_c013_00/14.jpg", + "v_InvO0NFpSIw_c013_00/15.jpg", + "v_InvO0NFpSIw_c013_00/16.jpg", + "v_InvO0NFpSIw_c013_00/17.jpg", + "v_InvO0NFpSIw_c013_00/18.jpg", + "v_InvO0NFpSIw_c013_00/19.jpg", + "v_InvO0NFpSIw_c013_00/20.jpg", + "v_InvO0NFpSIw_c013_00/21.jpg", + "v_InvO0NFpSIw_c013_00/22.jpg", + "v_InvO0NFpSIw_c013_00/23.jpg", + "v_InvO0NFpSIw_c013_00/24.jpg", + "v_InvO0NFpSIw_c013_00/25.jpg", + "v_InvO0NFpSIw_c013_00/26.jpg", + "v_InvO0NFpSIw_c013_00/27.jpg", + "v_InvO0NFpSIw_c013_00/28.jpg", + "v_InvO0NFpSIw_c013_00/29.jpg", + "v_InvO0NFpSIw_c013_00/30.jpg", + "v_InvO0NFpSIw_c013_00/31.jpg", + "v_InvO0NFpSIw_c013_00/32.jpg", + "v_InvO0NFpSIw_c013_00/33.jpg", + "v_InvO0NFpSIw_c013_00/34.jpg", + "v_InvO0NFpSIw_c013_00/35.jpg", + "v_InvO0NFpSIw_c013_00/36.jpg", + "v_InvO0NFpSIw_c013_00/37.jpg", + "v_InvO0NFpSIw_c013_00/38.jpg", + "v_InvO0NFpSIw_c013_00/39.jpg", + "v_InvO0NFpSIw_c013_00/40.jpg", + "v_InvO0NFpSIw_c013_00/41.jpg", + "v_InvO0NFpSIw_c013_00/42.jpg", + "v_InvO0NFpSIw_c013_00/43.jpg", + "v_InvO0NFpSIw_c013_00/44.jpg", + "v_InvO0NFpSIw_c013_00/45.jpg", + "v_InvO0NFpSIw_c013_00/46.jpg", + "v_InvO0NFpSIw_c013_00/47.jpg", + "v_InvO0NFpSIw_c013_00/48.jpg", + "v_InvO0NFpSIw_c013_00/49.jpg", + "v_InvO0NFpSIw_c013_00/50.jpg", + "v_InvO0NFpSIw_c013_00/51.jpg", + "v_InvO0NFpSIw_c013_00/52.jpg", + "v_InvO0NFpSIw_c013_00/53.jpg", + "v_InvO0NFpSIw_c013_00/54.jpg", + "v_InvO0NFpSIw_c013_00/55.jpg", + "v_InvO0NFpSIw_c013_00/56.jpg", + "v_InvO0NFpSIw_c013_00/57.jpg", + "v_InvO0NFpSIw_c013_00/58.jpg", + "v_InvO0NFpSIw_c013_00/59.jpg", + "v_InvO0NFpSIw_c013_00/60.jpg", + "v_InvO0NFpSIw_c013_00/61.jpg", + "v_InvO0NFpSIw_c013_00/62.jpg", + "v_InvO0NFpSIw_c013_00/63.jpg" + ], + "prompt": "What is the video about?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0017", + "input": { + "video_file_list": [ + "v_I-tZTTBt3rc_c003_00/0.jpg", + "v_I-tZTTBt3rc_c003_00/1.jpg", + "v_I-tZTTBt3rc_c003_00/2.jpg", + "v_I-tZTTBt3rc_c003_00/3.jpg", + "v_I-tZTTBt3rc_c003_00/4.jpg", + "v_I-tZTTBt3rc_c003_00/5.jpg", + "v_I-tZTTBt3rc_c003_00/6.jpg", + "v_I-tZTTBt3rc_c003_00/7.jpg", + "v_I-tZTTBt3rc_c003_00/8.jpg", + "v_I-tZTTBt3rc_c003_00/9.jpg", + "v_I-tZTTBt3rc_c003_00/10.jpg", + "v_I-tZTTBt3rc_c003_00/11.jpg", + "v_I-tZTTBt3rc_c003_00/12.jpg", + "v_I-tZTTBt3rc_c003_00/13.jpg", + "v_I-tZTTBt3rc_c003_00/14.jpg", + "v_I-tZTTBt3rc_c003_00/15.jpg", + "v_I-tZTTBt3rc_c003_00/16.jpg", + "v_I-tZTTBt3rc_c003_00/17.jpg", + "v_I-tZTTBt3rc_c003_00/18.jpg", + "v_I-tZTTBt3rc_c003_00/19.jpg", + "v_I-tZTTBt3rc_c003_00/20.jpg", + "v_I-tZTTBt3rc_c003_00/21.jpg", + "v_I-tZTTBt3rc_c003_00/22.jpg", + "v_I-tZTTBt3rc_c003_00/23.jpg", + "v_I-tZTTBt3rc_c003_00/24.jpg", + "v_I-tZTTBt3rc_c003_00/25.jpg", + "v_I-tZTTBt3rc_c003_00/26.jpg", + "v_I-tZTTBt3rc_c003_00/27.jpg", + "v_I-tZTTBt3rc_c003_00/28.jpg", + "v_I-tZTTBt3rc_c003_00/29.jpg", + "v_I-tZTTBt3rc_c003_00/30.jpg", + "v_I-tZTTBt3rc_c003_00/31.jpg", + "v_I-tZTTBt3rc_c003_00/32.jpg", + "v_I-tZTTBt3rc_c003_00/33.jpg", + "v_I-tZTTBt3rc_c003_00/34.jpg", + "v_I-tZTTBt3rc_c003_00/35.jpg", + "v_I-tZTTBt3rc_c003_00/36.jpg", + "v_I-tZTTBt3rc_c003_00/37.jpg", + "v_I-tZTTBt3rc_c003_00/38.jpg", + "v_I-tZTTBt3rc_c003_00/39.jpg", + "v_I-tZTTBt3rc_c003_00/40.jpg", + "v_I-tZTTBt3rc_c003_00/41.jpg", + "v_I-tZTTBt3rc_c003_00/42.jpg", + "v_I-tZTTBt3rc_c003_00/43.jpg", + "v_I-tZTTBt3rc_c003_00/44.jpg", + "v_I-tZTTBt3rc_c003_00/45.jpg", + "v_I-tZTTBt3rc_c003_00/46.jpg", + "v_I-tZTTBt3rc_c003_00/47.jpg", + "v_I-tZTTBt3rc_c003_00/48.jpg", + "v_I-tZTTBt3rc_c003_00/49.jpg", + "v_I-tZTTBt3rc_c003_00/50.jpg", + "v_I-tZTTBt3rc_c003_00/51.jpg", + "v_I-tZTTBt3rc_c003_00/52.jpg", + "v_I-tZTTBt3rc_c003_00/53.jpg", + "v_I-tZTTBt3rc_c003_00/54.jpg", + "v_I-tZTTBt3rc_c003_00/55.jpg", + "v_I-tZTTBt3rc_c003_00/56.jpg", + "v_I-tZTTBt3rc_c003_00/57.jpg", + "v_I-tZTTBt3rc_c003_00/58.jpg", + "v_I-tZTTBt3rc_c003_00/59.jpg", + "v_I-tZTTBt3rc_c003_00/60.jpg", + "v_I-tZTTBt3rc_c003_00/61.jpg", + "v_I-tZTTBt3rc_c003_00/62.jpg", + "v_I-tZTTBt3rc_c003_00/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_ballgamevideoquestionanswering_0073", + "input": { + "video_file_list": [ + "v_It_vvQR6RPM_c015_00/0.jpg", + "v_It_vvQR6RPM_c015_00/1.jpg", + "v_It_vvQR6RPM_c015_00/2.jpg", + "v_It_vvQR6RPM_c015_00/3.jpg", + "v_It_vvQR6RPM_c015_00/4.jpg", + "v_It_vvQR6RPM_c015_00/5.jpg", + "v_It_vvQR6RPM_c015_00/6.jpg", + "v_It_vvQR6RPM_c015_00/7.jpg", + "v_It_vvQR6RPM_c015_00/8.jpg", + "v_It_vvQR6RPM_c015_00/9.jpg", + "v_It_vvQR6RPM_c015_00/10.jpg", + "v_It_vvQR6RPM_c015_00/11.jpg", + "v_It_vvQR6RPM_c015_00/12.jpg", + "v_It_vvQR6RPM_c015_00/13.jpg", + "v_It_vvQR6RPM_c015_00/14.jpg", + "v_It_vvQR6RPM_c015_00/15.jpg", + "v_It_vvQR6RPM_c015_00/16.jpg", + "v_It_vvQR6RPM_c015_00/17.jpg", + "v_It_vvQR6RPM_c015_00/18.jpg", + "v_It_vvQR6RPM_c015_00/19.jpg", + "v_It_vvQR6RPM_c015_00/20.jpg", + "v_It_vvQR6RPM_c015_00/21.jpg", + "v_It_vvQR6RPM_c015_00/22.jpg", + "v_It_vvQR6RPM_c015_00/23.jpg", + "v_It_vvQR6RPM_c015_00/24.jpg", + "v_It_vvQR6RPM_c015_00/25.jpg", + "v_It_vvQR6RPM_c015_00/26.jpg", + "v_It_vvQR6RPM_c015_00/27.jpg", + "v_It_vvQR6RPM_c015_00/28.jpg", + "v_It_vvQR6RPM_c015_00/29.jpg", + "v_It_vvQR6RPM_c015_00/30.jpg", + "v_It_vvQR6RPM_c015_00/31.jpg", + "v_It_vvQR6RPM_c015_00/32.jpg", + "v_It_vvQR6RPM_c015_00/33.jpg", + "v_It_vvQR6RPM_c015_00/34.jpg", + "v_It_vvQR6RPM_c015_00/35.jpg", + "v_It_vvQR6RPM_c015_00/36.jpg", + "v_It_vvQR6RPM_c015_00/37.jpg", + "v_It_vvQR6RPM_c015_00/38.jpg", + "v_It_vvQR6RPM_c015_00/39.jpg", + "v_It_vvQR6RPM_c015_00/40.jpg", + "v_It_vvQR6RPM_c015_00/41.jpg", + "v_It_vvQR6RPM_c015_00/42.jpg", + "v_It_vvQR6RPM_c015_00/43.jpg", + "v_It_vvQR6RPM_c015_00/44.jpg", + "v_It_vvQR6RPM_c015_00/45.jpg", + "v_It_vvQR6RPM_c015_00/46.jpg", + "v_It_vvQR6RPM_c015_00/47.jpg", + "v_It_vvQR6RPM_c015_00/48.jpg", + "v_It_vvQR6RPM_c015_00/49.jpg", + "v_It_vvQR6RPM_c015_00/50.jpg", + "v_It_vvQR6RPM_c015_00/51.jpg", + "v_It_vvQR6RPM_c015_00/52.jpg", + "v_It_vvQR6RPM_c015_00/53.jpg", + "v_It_vvQR6RPM_c015_00/54.jpg", + "v_It_vvQR6RPM_c015_00/55.jpg", + "v_It_vvQR6RPM_c015_00/56.jpg", + "v_It_vvQR6RPM_c015_00/57.jpg", + "v_It_vvQR6RPM_c015_00/58.jpg", + "v_It_vvQR6RPM_c015_00/59.jpg", + "v_It_vvQR6RPM_c015_00/60.jpg", + "v_It_vvQR6RPM_c015_00/61.jpg", + "v_It_vvQR6RPM_c015_00/62.jpg", + "v_It_vvQR6RPM_c015_00/63.jpg" + ], + "prompt": "What is the video about?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "A" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BallSportsVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BallSportsVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1c3e2ffeef6ec71188e210d3e3e1698f66b54287 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BallSportsVideoCaptioning/annotation.json @@ -0,0 +1,733 @@ +{ + "task": "BallSportsVideoCaptioning", + "data_source": "videomme", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_ballsportsvideocaptioning_0012", + "input": { + "video_file_list": [ + "hwloS0JY6Ms/frame_001.jpg", + "hwloS0JY6Ms/frame_002.jpg", + "hwloS0JY6Ms/frame_003.jpg", + "hwloS0JY6Ms/frame_004.jpg", + "hwloS0JY6Ms/frame_005.jpg", + "hwloS0JY6Ms/frame_006.jpg", + "hwloS0JY6Ms/frame_007.jpg", + "hwloS0JY6Ms/frame_008.jpg", + "hwloS0JY6Ms/frame_009.jpg", + "hwloS0JY6Ms/frame_010.jpg", + "hwloS0JY6Ms/frame_011.jpg", + "hwloS0JY6Ms/frame_012.jpg", + "hwloS0JY6Ms/frame_013.jpg", + "hwloS0JY6Ms/frame_014.jpg", + "hwloS0JY6Ms/frame_015.jpg", + "hwloS0JY6Ms/frame_016.jpg", + "hwloS0JY6Ms/frame_017.jpg", + "hwloS0JY6Ms/frame_018.jpg", + "hwloS0JY6Ms/frame_019.jpg", + "hwloS0JY6Ms/frame_020.jpg", + "hwloS0JY6Ms/frame_021.jpg", + "hwloS0JY6Ms/frame_022.jpg", + "hwloS0JY6Ms/frame_023.jpg", + "hwloS0JY6Ms/frame_024.jpg", + "hwloS0JY6Ms/frame_025.jpg", + "hwloS0JY6Ms/frame_026.jpg", + "hwloS0JY6Ms/frame_027.jpg", + "hwloS0JY6Ms/frame_028.jpg", + "hwloS0JY6Ms/frame_029.jpg", + "hwloS0JY6Ms/frame_030.jpg", + "hwloS0JY6Ms/frame_031.jpg", + "hwloS0JY6Ms/frame_032.jpg", + "hwloS0JY6Ms/frame_033.jpg", + "hwloS0JY6Ms/frame_034.jpg", + "hwloS0JY6Ms/frame_035.jpg", + "hwloS0JY6Ms/frame_036.jpg", + "hwloS0JY6Ms/frame_037.jpg", + "hwloS0JY6Ms/frame_038.jpg", + "hwloS0JY6Ms/frame_039.jpg", + "hwloS0JY6Ms/frame_040.jpg", + "hwloS0JY6Ms/frame_041.jpg", + "hwloS0JY6Ms/frame_042.jpg", + "hwloS0JY6Ms/frame_043.jpg", + "hwloS0JY6Ms/frame_044.jpg", + "hwloS0JY6Ms/frame_045.jpg", + "hwloS0JY6Ms/frame_046.jpg", + "hwloS0JY6Ms/frame_047.jpg", + "hwloS0JY6Ms/frame_048.jpg", + "hwloS0JY6Ms/frame_049.jpg", + "hwloS0JY6Ms/frame_050.jpg", + "hwloS0JY6Ms/frame_051.jpg", + "hwloS0JY6Ms/frame_052.jpg", + "hwloS0JY6Ms/frame_053.jpg", + "hwloS0JY6Ms/frame_054.jpg", + "hwloS0JY6Ms/frame_055.jpg", + "hwloS0JY6Ms/frame_056.jpg", + "hwloS0JY6Ms/frame_057.jpg", + "hwloS0JY6Ms/frame_058.jpg", + "hwloS0JY6Ms/frame_059.jpg", + "hwloS0JY6Ms/frame_060.jpg", + "hwloS0JY6Ms/frame_061.jpg", + "hwloS0JY6Ms/frame_062.jpg", + "hwloS0JY6Ms/frame_063.jpg", + "hwloS0JY6Ms/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a soccer match between Manchester City and Tottenham Hotspur, featuring several goals scored by Manchester City. The audience is enthusiastic, cheering as the players celebrate their wins" + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0016", + "input": { + "video_file_list": [ + "cy40DIzOUow/frame_001.jpg", + "cy40DIzOUow/frame_002.jpg", + "cy40DIzOUow/frame_003.jpg", + "cy40DIzOUow/frame_004.jpg", + "cy40DIzOUow/frame_005.jpg", + "cy40DIzOUow/frame_006.jpg", + "cy40DIzOUow/frame_007.jpg", + "cy40DIzOUow/frame_008.jpg", + "cy40DIzOUow/frame_009.jpg", + "cy40DIzOUow/frame_010.jpg", + "cy40DIzOUow/frame_011.jpg", + "cy40DIzOUow/frame_012.jpg", + "cy40DIzOUow/frame_013.jpg", + "cy40DIzOUow/frame_014.jpg", + "cy40DIzOUow/frame_015.jpg", + "cy40DIzOUow/frame_016.jpg", + "cy40DIzOUow/frame_017.jpg", + "cy40DIzOUow/frame_018.jpg", + "cy40DIzOUow/frame_019.jpg", + "cy40DIzOUow/frame_020.jpg", + "cy40DIzOUow/frame_021.jpg", + "cy40DIzOUow/frame_022.jpg", + "cy40DIzOUow/frame_023.jpg", + "cy40DIzOUow/frame_024.jpg", + "cy40DIzOUow/frame_025.jpg", + "cy40DIzOUow/frame_026.jpg", + "cy40DIzOUow/frame_027.jpg", + "cy40DIzOUow/frame_028.jpg", + "cy40DIzOUow/frame_029.jpg", + "cy40DIzOUow/frame_030.jpg", + "cy40DIzOUow/frame_031.jpg", + "cy40DIzOUow/frame_032.jpg", + "cy40DIzOUow/frame_033.jpg", + "cy40DIzOUow/frame_034.jpg", + "cy40DIzOUow/frame_035.jpg", + "cy40DIzOUow/frame_036.jpg", + "cy40DIzOUow/frame_037.jpg", + "cy40DIzOUow/frame_038.jpg", + "cy40DIzOUow/frame_039.jpg", + "cy40DIzOUow/frame_040.jpg", + "cy40DIzOUow/frame_041.jpg", + "cy40DIzOUow/frame_042.jpg", + "cy40DIzOUow/frame_043.jpg", + "cy40DIzOUow/frame_044.jpg", + "cy40DIzOUow/frame_045.jpg", + "cy40DIzOUow/frame_046.jpg", + "cy40DIzOUow/frame_047.jpg", + "cy40DIzOUow/frame_048.jpg", + "cy40DIzOUow/frame_049.jpg", + "cy40DIzOUow/frame_050.jpg", + "cy40DIzOUow/frame_051.jpg", + "cy40DIzOUow/frame_052.jpg", + "cy40DIzOUow/frame_053.jpg", + "cy40DIzOUow/frame_054.jpg", + "cy40DIzOUow/frame_055.jpg", + "cy40DIzOUow/frame_056.jpg", + "cy40DIzOUow/frame_057.jpg", + "cy40DIzOUow/frame_058.jpg", + "cy40DIzOUow/frame_059.jpg", + "cy40DIzOUow/frame_060.jpg", + "cy40DIzOUow/frame_061.jpg", + "cy40DIzOUow/frame_062.jpg", + "cy40DIzOUow/frame_063.jpg", + "cy40DIzOUow/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a basketball game in an indoor arena, featuring a successful shot by one player and another attempting to block it. The audience is cheering as the game progresses" + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0002", + "input": { + "video_file_list": [ + "YPvxuoNLgPE/frame_001.jpg", + "YPvxuoNLgPE/frame_002.jpg", + "YPvxuoNLgPE/frame_003.jpg", + "YPvxuoNLgPE/frame_004.jpg", + "YPvxuoNLgPE/frame_005.jpg", + "YPvxuoNLgPE/frame_006.jpg", + "YPvxuoNLgPE/frame_007.jpg", + "YPvxuoNLgPE/frame_008.jpg", + "YPvxuoNLgPE/frame_009.jpg", + "YPvxuoNLgPE/frame_010.jpg", + "YPvxuoNLgPE/frame_011.jpg", + "YPvxuoNLgPE/frame_012.jpg", + "YPvxuoNLgPE/frame_013.jpg", + "YPvxuoNLgPE/frame_014.jpg", + "YPvxuoNLgPE/frame_015.jpg", + "YPvxuoNLgPE/frame_016.jpg", + "YPvxuoNLgPE/frame_017.jpg", + "YPvxuoNLgPE/frame_018.jpg", + "YPvxuoNLgPE/frame_019.jpg", + "YPvxuoNLgPE/frame_020.jpg", + "YPvxuoNLgPE/frame_021.jpg", + "YPvxuoNLgPE/frame_022.jpg", + "YPvxuoNLgPE/frame_023.jpg", + "YPvxuoNLgPE/frame_024.jpg", + "YPvxuoNLgPE/frame_025.jpg", + "YPvxuoNLgPE/frame_026.jpg", + "YPvxuoNLgPE/frame_027.jpg", + "YPvxuoNLgPE/frame_028.jpg", + "YPvxuoNLgPE/frame_029.jpg", + "YPvxuoNLgPE/frame_030.jpg", + "YPvxuoNLgPE/frame_031.jpg", + "YPvxuoNLgPE/frame_032.jpg", + "YPvxuoNLgPE/frame_033.jpg", + "YPvxuoNLgPE/frame_034.jpg", + "YPvxuoNLgPE/frame_035.jpg", + "YPvxuoNLgPE/frame_036.jpg", + "YPvxuoNLgPE/frame_037.jpg", + "YPvxuoNLgPE/frame_038.jpg", + "YPvxuoNLgPE/frame_039.jpg", + "YPvxuoNLgPE/frame_040.jpg", + "YPvxuoNLgPE/frame_041.jpg", + "YPvxuoNLgPE/frame_042.jpg", + "YPvxuoNLgPE/frame_043.jpg", + "YPvxuoNLgPE/frame_044.jpg", + "YPvxuoNLgPE/frame_045.jpg", + "YPvxuoNLgPE/frame_046.jpg", + "YPvxuoNLgPE/frame_047.jpg", + "YPvxuoNLgPE/frame_048.jpg", + "YPvxuoNLgPE/frame_049.jpg", + "YPvxuoNLgPE/frame_050.jpg", + "YPvxuoNLgPE/frame_051.jpg", + "YPvxuoNLgPE/frame_052.jpg", + "YPvxuoNLgPE/frame_053.jpg", + "YPvxuoNLgPE/frame_054.jpg", + "YPvxuoNLgPE/frame_055.jpg", + "YPvxuoNLgPE/frame_056.jpg", + "YPvxuoNLgPE/frame_057.jpg", + "YPvxuoNLgPE/frame_058.jpg", + "YPvxuoNLgPE/frame_059.jpg", + "YPvxuoNLgPE/frame_060.jpg", + "YPvxuoNLgPE/frame_061.jpg", + "YPvxuoNLgPE/frame_062.jpg", + "YPvxuoNLgPE/frame_063.jpg", + "YPvxuoNLgPE/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a group playing basketball outdoors at night, with one person in a green shirt and another in a yellow shirt. It also shows a man with a laptop and someone holding a tennis racket." + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0020", + "input": { + "video_file_list": [ + "5fPtlxR3s3c/frame_001.jpg", + "5fPtlxR3s3c/frame_002.jpg", + "5fPtlxR3s3c/frame_003.jpg", + "5fPtlxR3s3c/frame_004.jpg", + "5fPtlxR3s3c/frame_005.jpg", + "5fPtlxR3s3c/frame_006.jpg", + "5fPtlxR3s3c/frame_007.jpg", + "5fPtlxR3s3c/frame_008.jpg", + "5fPtlxR3s3c/frame_009.jpg", + "5fPtlxR3s3c/frame_010.jpg", + "5fPtlxR3s3c/frame_011.jpg", + "5fPtlxR3s3c/frame_012.jpg", + "5fPtlxR3s3c/frame_013.jpg", + "5fPtlxR3s3c/frame_014.jpg", + "5fPtlxR3s3c/frame_015.jpg", + "5fPtlxR3s3c/frame_016.jpg", + "5fPtlxR3s3c/frame_017.jpg", + "5fPtlxR3s3c/frame_018.jpg", + "5fPtlxR3s3c/frame_019.jpg", + "5fPtlxR3s3c/frame_020.jpg", + "5fPtlxR3s3c/frame_021.jpg", + "5fPtlxR3s3c/frame_022.jpg", + "5fPtlxR3s3c/frame_023.jpg", + "5fPtlxR3s3c/frame_024.jpg", + "5fPtlxR3s3c/frame_025.jpg", + "5fPtlxR3s3c/frame_026.jpg", + "5fPtlxR3s3c/frame_027.jpg", + "5fPtlxR3s3c/frame_028.jpg", + "5fPtlxR3s3c/frame_029.jpg", + "5fPtlxR3s3c/frame_030.jpg", + "5fPtlxR3s3c/frame_031.jpg", + "5fPtlxR3s3c/frame_032.jpg", + "5fPtlxR3s3c/frame_033.jpg", + "5fPtlxR3s3c/frame_034.jpg", + "5fPtlxR3s3c/frame_035.jpg", + "5fPtlxR3s3c/frame_036.jpg", + "5fPtlxR3s3c/frame_037.jpg", + "5fPtlxR3s3c/frame_038.jpg", + "5fPtlxR3s3c/frame_039.jpg", + "5fPtlxR3s3c/frame_040.jpg", + "5fPtlxR3s3c/frame_041.jpg", + "5fPtlxR3s3c/frame_042.jpg", + "5fPtlxR3s3c/frame_043.jpg", + "5fPtlxR3s3c/frame_044.jpg", + "5fPtlxR3s3c/frame_045.jpg", + "5fPtlxR3s3c/frame_046.jpg", + "5fPtlxR3s3c/frame_047.jpg", + "5fPtlxR3s3c/frame_048.jpg", + "5fPtlxR3s3c/frame_049.jpg", + "5fPtlxR3s3c/frame_050.jpg", + "5fPtlxR3s3c/frame_051.jpg", + "5fPtlxR3s3c/frame_052.jpg", + "5fPtlxR3s3c/frame_053.jpg", + "5fPtlxR3s3c/frame_054.jpg", + "5fPtlxR3s3c/frame_055.jpg", + "5fPtlxR3s3c/frame_056.jpg", + "5fPtlxR3s3c/frame_057.jpg", + "5fPtlxR3s3c/frame_058.jpg", + "5fPtlxR3s3c/frame_059.jpg", + "5fPtlxR3s3c/frame_060.jpg", + "5fPtlxR3s3c/frame_061.jpg", + "5fPtlxR3s3c/frame_062.jpg", + "5fPtlxR3s3c/frame_063.jpg", + "5fPtlxR3s3c/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a basketball game with players in contrasting uniforms. Spectators cheer as baskets are scored and the game unfolds, and the players celebrate each successful shot." + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0032", + "input": { + "video_file_list": [ + "PJHkIJZGwKA/frame_001.jpg", + "PJHkIJZGwKA/frame_002.jpg", + "PJHkIJZGwKA/frame_003.jpg", + "PJHkIJZGwKA/frame_004.jpg", + "PJHkIJZGwKA/frame_005.jpg", + "PJHkIJZGwKA/frame_006.jpg", + "PJHkIJZGwKA/frame_007.jpg", + "PJHkIJZGwKA/frame_008.jpg", + "PJHkIJZGwKA/frame_009.jpg", + "PJHkIJZGwKA/frame_010.jpg", + "PJHkIJZGwKA/frame_011.jpg", + "PJHkIJZGwKA/frame_012.jpg", + "PJHkIJZGwKA/frame_013.jpg", + "PJHkIJZGwKA/frame_014.jpg", + "PJHkIJZGwKA/frame_015.jpg", + "PJHkIJZGwKA/frame_016.jpg", + "PJHkIJZGwKA/frame_017.jpg", + "PJHkIJZGwKA/frame_018.jpg", + "PJHkIJZGwKA/frame_019.jpg", + "PJHkIJZGwKA/frame_020.jpg", + "PJHkIJZGwKA/frame_021.jpg", + "PJHkIJZGwKA/frame_022.jpg", + "PJHkIJZGwKA/frame_023.jpg", + "PJHkIJZGwKA/frame_024.jpg", + "PJHkIJZGwKA/frame_025.jpg", + "PJHkIJZGwKA/frame_026.jpg", + "PJHkIJZGwKA/frame_027.jpg", + "PJHkIJZGwKA/frame_028.jpg", + "PJHkIJZGwKA/frame_029.jpg", + "PJHkIJZGwKA/frame_030.jpg", + "PJHkIJZGwKA/frame_031.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a basketball player in a blue jersey making a layup and scoring. The audience reacts with cheers upon his successful shot" + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0022", + "input": { + "video_file_list": [ + "KZu5iE7yrPI/frame_001.jpg", + "KZu5iE7yrPI/frame_002.jpg", + "KZu5iE7yrPI/frame_003.jpg", + "KZu5iE7yrPI/frame_004.jpg", + "KZu5iE7yrPI/frame_005.jpg", + "KZu5iE7yrPI/frame_006.jpg", + "KZu5iE7yrPI/frame_007.jpg", + "KZu5iE7yrPI/frame_008.jpg", + "KZu5iE7yrPI/frame_009.jpg", + "KZu5iE7yrPI/frame_010.jpg", + "KZu5iE7yrPI/frame_011.jpg", + "KZu5iE7yrPI/frame_012.jpg", + "KZu5iE7yrPI/frame_013.jpg", + "KZu5iE7yrPI/frame_014.jpg", + "KZu5iE7yrPI/frame_015.jpg", + "KZu5iE7yrPI/frame_016.jpg", + "KZu5iE7yrPI/frame_017.jpg", + "KZu5iE7yrPI/frame_018.jpg", + "KZu5iE7yrPI/frame_019.jpg", + "KZu5iE7yrPI/frame_020.jpg", + "KZu5iE7yrPI/frame_021.jpg", + "KZu5iE7yrPI/frame_022.jpg", + "KZu5iE7yrPI/frame_023.jpg", + "KZu5iE7yrPI/frame_024.jpg", + "KZu5iE7yrPI/frame_025.jpg", + "KZu5iE7yrPI/frame_026.jpg", + "KZu5iE7yrPI/frame_027.jpg", + "KZu5iE7yrPI/frame_028.jpg", + "KZu5iE7yrPI/frame_029.jpg", + "KZu5iE7yrPI/frame_030.jpg", + "KZu5iE7yrPI/frame_031.jpg", + "KZu5iE7yrPI/frame_032.jpg", + "KZu5iE7yrPI/frame_033.jpg", + "KZu5iE7yrPI/frame_034.jpg", + "KZu5iE7yrPI/frame_035.jpg", + "KZu5iE7yrPI/frame_036.jpg", + "KZu5iE7yrPI/frame_037.jpg", + "KZu5iE7yrPI/frame_038.jpg", + "KZu5iE7yrPI/frame_039.jpg", + "KZu5iE7yrPI/frame_040.jpg", + "KZu5iE7yrPI/frame_041.jpg", + "KZu5iE7yrPI/frame_042.jpg", + "KZu5iE7yrPI/frame_043.jpg", + "KZu5iE7yrPI/frame_044.jpg", + "KZu5iE7yrPI/frame_045.jpg", + "KZu5iE7yrPI/frame_046.jpg", + "KZu5iE7yrPI/frame_047.jpg", + "KZu5iE7yrPI/frame_048.jpg", + "KZu5iE7yrPI/frame_049.jpg", + "KZu5iE7yrPI/frame_050.jpg", + "KZu5iE7yrPI/frame_051.jpg", + "KZu5iE7yrPI/frame_052.jpg", + "KZu5iE7yrPI/frame_053.jpg", + "KZu5iE7yrPI/frame_054.jpg", + "KZu5iE7yrPI/frame_055.jpg", + "KZu5iE7yrPI/frame_056.jpg", + "KZu5iE7yrPI/frame_057.jpg", + "KZu5iE7yrPI/frame_058.jpg", + "KZu5iE7yrPI/frame_059.jpg", + "KZu5iE7yrPI/frame_060.jpg", + "KZu5iE7yrPI/frame_061.jpg", + "KZu5iE7yrPI/frame_062.jpg", + "KZu5iE7yrPI/frame_063.jpg", + "KZu5iE7yrPI/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a basketball game on a court with players in contrasting uniforms. Spectators are present, and referees ensure rule compliance. It also features slow-motion replays emphasizing the players' skills and athleticism." + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0031", + "input": { + "video_file_list": [ + "bFuVjFacj_E/frame_001.jpg", + "bFuVjFacj_E/frame_002.jpg", + "bFuVjFacj_E/frame_003.jpg", + "bFuVjFacj_E/frame_004.jpg", + "bFuVjFacj_E/frame_005.jpg", + "bFuVjFacj_E/frame_006.jpg", + "bFuVjFacj_E/frame_007.jpg", + "bFuVjFacj_E/frame_008.jpg", + "bFuVjFacj_E/frame_009.jpg", + "bFuVjFacj_E/frame_010.jpg", + "bFuVjFacj_E/frame_011.jpg", + "bFuVjFacj_E/frame_012.jpg", + "bFuVjFacj_E/frame_013.jpg", + "bFuVjFacj_E/frame_014.jpg", + "bFuVjFacj_E/frame_015.jpg", + "bFuVjFacj_E/frame_016.jpg", + "bFuVjFacj_E/frame_017.jpg", + "bFuVjFacj_E/frame_018.jpg", + "bFuVjFacj_E/frame_019.jpg", + "bFuVjFacj_E/frame_020.jpg", + "bFuVjFacj_E/frame_021.jpg", + "bFuVjFacj_E/frame_022.jpg", + "bFuVjFacj_E/frame_023.jpg", + "bFuVjFacj_E/frame_024.jpg", + "bFuVjFacj_E/frame_025.jpg", + "bFuVjFacj_E/frame_026.jpg", + "bFuVjFacj_E/frame_027.jpg", + "bFuVjFacj_E/frame_028.jpg", + "bFuVjFacj_E/frame_029.jpg", + "bFuVjFacj_E/frame_030.jpg", + "bFuVjFacj_E/frame_031.jpg", + "bFuVjFacj_E/frame_032.jpg", + "bFuVjFacj_E/frame_033.jpg", + "bFuVjFacj_E/frame_034.jpg", + "bFuVjFacj_E/frame_035.jpg", + "bFuVjFacj_E/frame_036.jpg", + "bFuVjFacj_E/frame_037.jpg", + "bFuVjFacj_E/frame_038.jpg", + "bFuVjFacj_E/frame_039.jpg", + "bFuVjFacj_E/frame_040.jpg", + "bFuVjFacj_E/frame_041.jpg", + "bFuVjFacj_E/frame_042.jpg", + "bFuVjFacj_E/frame_043.jpg", + "bFuVjFacj_E/frame_044.jpg", + "bFuVjFacj_E/frame_045.jpg", + "bFuVjFacj_E/frame_046.jpg", + "bFuVjFacj_E/frame_047.jpg", + "bFuVjFacj_E/frame_048.jpg", + "bFuVjFacj_E/frame_049.jpg", + "bFuVjFacj_E/frame_050.jpg", + "bFuVjFacj_E/frame_051.jpg", + "bFuVjFacj_E/frame_052.jpg", + "bFuVjFacj_E/frame_053.jpg", + "bFuVjFacj_E/frame_054.jpg", + "bFuVjFacj_E/frame_055.jpg", + "bFuVjFacj_E/frame_056.jpg", + "bFuVjFacj_E/frame_057.jpg", + "bFuVjFacj_E/frame_058.jpg", + "bFuVjFacj_E/frame_059.jpg", + "bFuVjFacj_E/frame_060.jpg", + "bFuVjFacj_E/frame_061.jpg", + "bFuVjFacj_E/frame_062.jpg", + "bFuVjFacj_E/frame_063.jpg", + "bFuVjFacj_E/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man in a suit walking down the street, followed by a soccer match where a player scores a goal. It also includes a newspaper with a picture of a man." + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0001", + "input": { + "video_file_list": [ + "KlbDo9o5SC8/frame_001.jpg", + "KlbDo9o5SC8/frame_002.jpg", + "KlbDo9o5SC8/frame_003.jpg", + "KlbDo9o5SC8/frame_004.jpg", + "KlbDo9o5SC8/frame_005.jpg", + "KlbDo9o5SC8/frame_006.jpg", + "KlbDo9o5SC8/frame_007.jpg", + "KlbDo9o5SC8/frame_008.jpg", + "KlbDo9o5SC8/frame_009.jpg", + "KlbDo9o5SC8/frame_010.jpg", + "KlbDo9o5SC8/frame_011.jpg", + "KlbDo9o5SC8/frame_012.jpg", + "KlbDo9o5SC8/frame_013.jpg", + "KlbDo9o5SC8/frame_014.jpg", + "KlbDo9o5SC8/frame_015.jpg", + "KlbDo9o5SC8/frame_016.jpg", + "KlbDo9o5SC8/frame_017.jpg", + "KlbDo9o5SC8/frame_018.jpg", + "KlbDo9o5SC8/frame_019.jpg", + "KlbDo9o5SC8/frame_020.jpg", + "KlbDo9o5SC8/frame_021.jpg", + "KlbDo9o5SC8/frame_022.jpg", + "KlbDo9o5SC8/frame_023.jpg", + "KlbDo9o5SC8/frame_024.jpg", + "KlbDo9o5SC8/frame_025.jpg", + "KlbDo9o5SC8/frame_026.jpg", + "KlbDo9o5SC8/frame_027.jpg", + "KlbDo9o5SC8/frame_028.jpg", + "KlbDo9o5SC8/frame_029.jpg", + "KlbDo9o5SC8/frame_030.jpg", + "KlbDo9o5SC8/frame_031.jpg", + "KlbDo9o5SC8/frame_032.jpg", + "KlbDo9o5SC8/frame_033.jpg", + "KlbDo9o5SC8/frame_034.jpg", + "KlbDo9o5SC8/frame_035.jpg", + "KlbDo9o5SC8/frame_036.jpg", + "KlbDo9o5SC8/frame_037.jpg", + "KlbDo9o5SC8/frame_038.jpg", + "KlbDo9o5SC8/frame_039.jpg", + "KlbDo9o5SC8/frame_040.jpg", + "KlbDo9o5SC8/frame_041.jpg", + "KlbDo9o5SC8/frame_042.jpg", + "KlbDo9o5SC8/frame_043.jpg", + "KlbDo9o5SC8/frame_044.jpg", + "KlbDo9o5SC8/frame_045.jpg", + "KlbDo9o5SC8/frame_046.jpg", + "KlbDo9o5SC8/frame_047.jpg", + "KlbDo9o5SC8/frame_048.jpg", + "KlbDo9o5SC8/frame_049.jpg", + "KlbDo9o5SC8/frame_050.jpg", + "KlbDo9o5SC8/frame_051.jpg", + "KlbDo9o5SC8/frame_052.jpg", + "KlbDo9o5SC8/frame_053.jpg", + "KlbDo9o5SC8/frame_054.jpg", + "KlbDo9o5SC8/frame_055.jpg", + "KlbDo9o5SC8/frame_056.jpg", + "KlbDo9o5SC8/frame_057.jpg", + "KlbDo9o5SC8/frame_058.jpg", + "KlbDo9o5SC8/frame_059.jpg", + "KlbDo9o5SC8/frame_060.jpg", + "KlbDo9o5SC8/frame_061.jpg", + "KlbDo9o5SC8/frame_062.jpg", + "KlbDo9o5SC8/frame_063.jpg", + "KlbDo9o5SC8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a group of women playing soccer, with one scoring a goal and celebrating with her teammates. The audience is cheering as they watch the match" + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0000", + "input": { + "video_file_list": [ + "2NOcM1HoRRg/frame_001.jpg", + "2NOcM1HoRRg/frame_002.jpg", + "2NOcM1HoRRg/frame_003.jpg", + "2NOcM1HoRRg/frame_004.jpg", + "2NOcM1HoRRg/frame_005.jpg", + "2NOcM1HoRRg/frame_006.jpg", + "2NOcM1HoRRg/frame_007.jpg", + "2NOcM1HoRRg/frame_008.jpg", + "2NOcM1HoRRg/frame_009.jpg", + "2NOcM1HoRRg/frame_010.jpg", + "2NOcM1HoRRg/frame_011.jpg", + "2NOcM1HoRRg/frame_012.jpg", + "2NOcM1HoRRg/frame_013.jpg", + "2NOcM1HoRRg/frame_014.jpg", + "2NOcM1HoRRg/frame_015.jpg", + "2NOcM1HoRRg/frame_016.jpg", + "2NOcM1HoRRg/frame_017.jpg", + "2NOcM1HoRRg/frame_018.jpg", + "2NOcM1HoRRg/frame_019.jpg", + "2NOcM1HoRRg/frame_020.jpg", + "2NOcM1HoRRg/frame_021.jpg", + "2NOcM1HoRRg/frame_022.jpg", + "2NOcM1HoRRg/frame_023.jpg", + "2NOcM1HoRRg/frame_024.jpg", + "2NOcM1HoRRg/frame_025.jpg", + "2NOcM1HoRRg/frame_026.jpg", + "2NOcM1HoRRg/frame_027.jpg", + "2NOcM1HoRRg/frame_028.jpg", + "2NOcM1HoRRg/frame_029.jpg", + "2NOcM1HoRRg/frame_030.jpg", + "2NOcM1HoRRg/frame_031.jpg", + "2NOcM1HoRRg/frame_032.jpg", + "2NOcM1HoRRg/frame_033.jpg", + "2NOcM1HoRRg/frame_034.jpg", + "2NOcM1HoRRg/frame_035.jpg", + "2NOcM1HoRRg/frame_036.jpg", + "2NOcM1HoRRg/frame_037.jpg", + "2NOcM1HoRRg/frame_038.jpg", + "2NOcM1HoRRg/frame_039.jpg", + "2NOcM1HoRRg/frame_040.jpg", + "2NOcM1HoRRg/frame_041.jpg", + "2NOcM1HoRRg/frame_042.jpg", + "2NOcM1HoRRg/frame_043.jpg", + "2NOcM1HoRRg/frame_044.jpg", + "2NOcM1HoRRg/frame_045.jpg", + "2NOcM1HoRRg/frame_046.jpg", + "2NOcM1HoRRg/frame_047.jpg", + "2NOcM1HoRRg/frame_048.jpg", + "2NOcM1HoRRg/frame_049.jpg", + "2NOcM1HoRRg/frame_050.jpg", + "2NOcM1HoRRg/frame_051.jpg", + "2NOcM1HoRRg/frame_052.jpg", + "2NOcM1HoRRg/frame_053.jpg", + "2NOcM1HoRRg/frame_054.jpg", + "2NOcM1HoRRg/frame_055.jpg", + "2NOcM1HoRRg/frame_056.jpg", + "2NOcM1HoRRg/frame_057.jpg", + "2NOcM1HoRRg/frame_058.jpg", + "2NOcM1HoRRg/frame_059.jpg", + "2NOcM1HoRRg/frame_060.jpg", + "2NOcM1HoRRg/frame_061.jpg", + "2NOcM1HoRRg/frame_062.jpg", + "2NOcM1HoRRg/frame_063.jpg", + "2NOcM1HoRRg/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two men playing basketball in a video game and chatting. One scores and celebrates by clapping." + } + }, + { + "id": "vc_closeset_ballsportsvideocaptioning_0015", + "input": { + "video_file_list": [ + "1tidNDIpKSY/frame_001.jpg", + "1tidNDIpKSY/frame_002.jpg", + "1tidNDIpKSY/frame_003.jpg", + "1tidNDIpKSY/frame_004.jpg", + "1tidNDIpKSY/frame_005.jpg", + "1tidNDIpKSY/frame_006.jpg", + "1tidNDIpKSY/frame_007.jpg", + "1tidNDIpKSY/frame_008.jpg", + "1tidNDIpKSY/frame_009.jpg", + "1tidNDIpKSY/frame_010.jpg", + "1tidNDIpKSY/frame_011.jpg", + "1tidNDIpKSY/frame_012.jpg", + "1tidNDIpKSY/frame_013.jpg", + "1tidNDIpKSY/frame_014.jpg", + "1tidNDIpKSY/frame_015.jpg", + "1tidNDIpKSY/frame_016.jpg", + "1tidNDIpKSY/frame_017.jpg", + "1tidNDIpKSY/frame_018.jpg", + "1tidNDIpKSY/frame_019.jpg", + "1tidNDIpKSY/frame_020.jpg", + "1tidNDIpKSY/frame_021.jpg", + "1tidNDIpKSY/frame_022.jpg", + "1tidNDIpKSY/frame_023.jpg", + "1tidNDIpKSY/frame_024.jpg", + "1tidNDIpKSY/frame_025.jpg", + "1tidNDIpKSY/frame_026.jpg", + "1tidNDIpKSY/frame_027.jpg", + "1tidNDIpKSY/frame_028.jpg", + "1tidNDIpKSY/frame_029.jpg", + "1tidNDIpKSY/frame_030.jpg", + "1tidNDIpKSY/frame_031.jpg", + "1tidNDIpKSY/frame_032.jpg", + "1tidNDIpKSY/frame_033.jpg", + "1tidNDIpKSY/frame_034.jpg", + "1tidNDIpKSY/frame_035.jpg", + "1tidNDIpKSY/frame_036.jpg", + "1tidNDIpKSY/frame_037.jpg", + "1tidNDIpKSY/frame_038.jpg", + "1tidNDIpKSY/frame_039.jpg", + "1tidNDIpKSY/frame_040.jpg", + "1tidNDIpKSY/frame_041.jpg", + "1tidNDIpKSY/frame_042.jpg", + "1tidNDIpKSY/frame_043.jpg", + "1tidNDIpKSY/frame_044.jpg", + "1tidNDIpKSY/frame_045.jpg", + "1tidNDIpKSY/frame_046.jpg", + "1tidNDIpKSY/frame_047.jpg", + "1tidNDIpKSY/frame_048.jpg", + "1tidNDIpKSY/frame_049.jpg", + "1tidNDIpKSY/frame_050.jpg", + "1tidNDIpKSY/frame_051.jpg", + "1tidNDIpKSY/frame_052.jpg", + "1tidNDIpKSY/frame_053.jpg", + "1tidNDIpKSY/frame_054.jpg", + "1tidNDIpKSY/frame_055.jpg", + "1tidNDIpKSY/frame_056.jpg", + "1tidNDIpKSY/frame_057.jpg", + "1tidNDIpKSY/frame_058.jpg", + "1tidNDIpKSY/frame_059.jpg", + "1tidNDIpKSY/frame_060.jpg", + "1tidNDIpKSY/frame_061.jpg", + "1tidNDIpKSY/frame_062.jpg", + "1tidNDIpKSY/frame_063.jpg", + "1tidNDIpKSY/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man on a stage with a crowd clapping and listening. It then widens to show the full stadium. The video concludes with \"New York New Jersey\" displayed onscreen." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BallTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BallTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2788c854d7a726d4360b08b7ac269d789e84a387 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BallTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, vot video, ball", + "data_source": "VOT2022", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0216", + "input": { + "video_folder": "./images/0216", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0162", + "input": { + "video_folder": "./images/0162", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1912", + "input": { + "video_folder": "./images/1912", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1570", + "input": { + "video_folder": "./images/1570", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0192", + "input": { + "video_folder": "./images/0192", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BlueWaterTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BlueWaterTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1c21fe3e6e002a697cad89b0145925588f6032d0 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BlueWaterTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, under water video, blue_water", + "data_source": "UTB180", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1064", + "input": { + "video_folder": "./images/1064", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0047", + "input": { + "video_folder": "./images/0047", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0926", + "input": { + "video_folder": "./images/0926", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1234", + "input": { + "video_folder": "./images/1234", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0401", + "input": { + "video_folder": "./images/0401", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BodyMotionVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BodyMotionVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6517b9ed8f61f16b6fb556f32c5467c53aa90bfe --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BodyMotionVideoCaptioning/annotation.json @@ -0,0 +1,253 @@ +{ + "task": "BodyMotionVideoCaptioning", + "data_source": "UCF-101, hmdb51", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_bodymotionvideocaptioning_0436", + "input": { + "video_file_list": [ + "v_TaiChi_g03_c01/frame_00000.jpg", + "v_TaiChi_g03_c01/frame_00008.jpg", + "v_TaiChi_g03_c01/frame_00016.jpg", + "v_TaiChi_g03_c01/frame_00024.jpg", + "v_TaiChi_g03_c01/frame_00032.jpg", + "v_TaiChi_g03_c01/frame_00040.jpg", + "v_TaiChi_g03_c01/frame_00048.jpg", + "v_TaiChi_g03_c01/frame_00056.jpg", + "v_TaiChi_g03_c01/frame_00064.jpg", + "v_TaiChi_g03_c01/frame_00072.jpg", + "v_TaiChi_g03_c01/frame_00080.jpg", + "v_TaiChi_g03_c01/frame_00088.jpg", + "v_TaiChi_g03_c01/frame_00096.jpg", + "v_TaiChi_g03_c01/frame_00104.jpg", + "v_TaiChi_g03_c01/frame_00112.jpg", + "v_TaiChi_g03_c01/frame_00120.jpg", + "v_TaiChi_g03_c01/frame_00128.jpg", + "v_TaiChi_g03_c01/frame_00136.jpg", + "v_TaiChi_g03_c01/frame_00144.jpg", + "v_TaiChi_g03_c01/frame_00152.jpg", + "v_TaiChi_g03_c01/frame_00160.jpg", + "v_TaiChi_g03_c01/frame_00168.jpg", + "v_TaiChi_g03_c01/frame_00176.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a man performs TaiChi slowly and gracefully in a grassy field, showcasing his skill and control. Trees and greenery in the background enhance the serene atmosphere." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0059", + "input": { + "video_file_list": [ + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00000.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00010.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00020.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00030.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00040.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00050.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00060.jpg", + "The_Slow_Clap_clap_u_nm_np2_fr_bad_26/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Clapping begins as a group of men enter a formal event." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0402", + "input": { + "video_file_list": [ + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00000.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00010.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00020.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00030.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00040.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00050.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00060.jpg", + "Purzelbaum_bei_der_Aufstiegsfeier_somersault_f_cm_np1_ri_med_0/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows a man performing a somersault, flipping his body over in the air with skill and precision before landing back on the ground." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0147", + "input": { + "video_file_list": [ + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00000.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00006.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00012.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00018.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00024.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00030.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00036.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00042.jpg", + "Hitch_Part_2_run_f_cm_np1_fr_med_8/frame_00048.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Running down a city street, a man passes by cars and other pedestrians." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0264", + "input": { + "video_file_list": [ + "v_TrampolineJumping_g03_c01/frame_00000.jpg", + "v_TrampolineJumping_g03_c01/frame_00009.jpg", + "v_TrampolineJumping_g03_c01/frame_00018.jpg", + "v_TrampolineJumping_g03_c01/frame_00027.jpg", + "v_TrampolineJumping_g03_c01/frame_00036.jpg", + "v_TrampolineJumping_g03_c01/frame_00045.jpg", + "v_TrampolineJumping_g03_c01/frame_00054.jpg", + "v_TrampolineJumping_g03_c01/frame_00063.jpg", + "v_TrampolineJumping_g03_c01/frame_00072.jpg", + "v_TrampolineJumping_g03_c01/frame_00081.jpg", + "v_TrampolineJumping_g03_c01/frame_00090.jpg", + "v_TrampolineJumping_g03_c01/frame_00099.jpg", + "v_TrampolineJumping_g03_c01/frame_00108.jpg", + "v_TrampolineJumping_g03_c01/frame_00117.jpg", + "v_TrampolineJumping_g03_c01/frame_00126.jpg", + "v_TrampolineJumping_g03_c01/frame_00135.jpg", + "v_TrampolineJumping_g03_c01/frame_00144.jpg", + "v_TrampolineJumping_g03_c01/frame_00153.jpg", + "v_TrampolineJumping_g03_c01/frame_00162.jpg", + "v_TrampolineJumping_g03_c01/frame_00171.jpg", + "v_TrampolineJumping_g03_c01/frame_00180.jpg", + "v_TrampolineJumping_g03_c01/frame_00189.jpg", + "v_TrampolineJumping_g03_c01/frame_00198.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "TrampolineJumping: A man jumps off a trampoline." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0041", + "input": { + "video_file_list": [ + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00000.jpg", + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00010.jpg", + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00020.jpg", + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00030.jpg", + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00040.jpg", + "Goalkeeper_Felix_Schwake_jump_f_nm_np1_le_bad_7/frame_00050.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Jumping over a soccer ball, the man lands and stands up." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0187", + "input": { + "video_file_list": [ + "v_RockClimbingIndoor_g06_c06/frame_00000.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00025.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00050.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00075.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00100.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00125.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00150.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00175.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00200.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00225.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00250.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00275.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00300.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00325.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00350.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00375.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00400.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00425.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00450.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00475.jpg", + "v_RockClimbingIndoor_g06_c06/frame_00500.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Rock climbing indoors, one climber reaches higher on the wall before jumping down." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0432", + "input": { + "video_file_list": [ + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00000.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00010.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00020.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00030.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00040.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00050.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00060.jpg", + "Geena_und_die_Radschl_ge___;-)_cartwheel_f_cm_np1_ri_med_1/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Performing a cartwheel on a tiled ground, the boy then walks away." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0278", + "input": { + "video_file_list": [ + "v_PushUps_g02_c03/frame_00000.jpg", + "v_PushUps_g02_c03/frame_00008.jpg", + "v_PushUps_g02_c03/frame_00016.jpg", + "v_PushUps_g02_c03/frame_00024.jpg", + "v_PushUps_g02_c03/frame_00032.jpg", + "v_PushUps_g02_c03/frame_00040.jpg", + "v_PushUps_g02_c03/frame_00048.jpg", + "v_PushUps_g02_c03/frame_00056.jpg", + "v_PushUps_g02_c03/frame_00064.jpg", + "v_PushUps_g02_c03/frame_00072.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows a woman performing push-ups. She focuses intently on each repetition." + } + }, + { + "id": "vc_closeset_bodymotionvideocaptioning_0382", + "input": { + "video_file_list": [ + "v_PullUps_g07_c01/frame_00000.jpg", + "v_PullUps_g07_c01/frame_00009.jpg", + "v_PullUps_g07_c01/frame_00018.jpg", + "v_PullUps_g07_c01/frame_00027.jpg", + "v_PullUps_g07_c01/frame_00036.jpg", + "v_PullUps_g07_c01/frame_00045.jpg", + "v_PullUps_g07_c01/frame_00054.jpg", + "v_PullUps_g07_c01/frame_00063.jpg", + "v_PullUps_g07_c01/frame_00072.jpg", + "v_PullUps_g07_c01/frame_00081.jpg", + "v_PullUps_g07_c01/frame_00090.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Pull-ups are shown in the video as a man repeatedly pulls himself up on a bar, engaging his upper body muscles to demonstrate strength and endurance." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/BusinessVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/BusinessVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fd1bcac102815f3020a28fde7b68228e749f4370 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/BusinessVideoCaptioning/annotation.json @@ -0,0 +1,718 @@ +{ + "task": "BusinessVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_businessvideocaptioning_0027", + "input": { + "video_file_list": [ + "lnShWOBzgGM/frame_001.jpg", + "lnShWOBzgGM/frame_002.jpg", + "lnShWOBzgGM/frame_003.jpg", + "lnShWOBzgGM/frame_004.jpg", + "lnShWOBzgGM/frame_005.jpg", + "lnShWOBzgGM/frame_006.jpg", + "lnShWOBzgGM/frame_007.jpg", + "lnShWOBzgGM/frame_008.jpg", + "lnShWOBzgGM/frame_009.jpg", + "lnShWOBzgGM/frame_010.jpg", + "lnShWOBzgGM/frame_011.jpg", + "lnShWOBzgGM/frame_012.jpg", + "lnShWOBzgGM/frame_013.jpg", + "lnShWOBzgGM/frame_014.jpg", + "lnShWOBzgGM/frame_015.jpg", + "lnShWOBzgGM/frame_016.jpg", + "lnShWOBzgGM/frame_017.jpg", + "lnShWOBzgGM/frame_018.jpg", + "lnShWOBzgGM/frame_019.jpg", + "lnShWOBzgGM/frame_020.jpg", + "lnShWOBzgGM/frame_021.jpg", + "lnShWOBzgGM/frame_022.jpg", + "lnShWOBzgGM/frame_023.jpg", + "lnShWOBzgGM/frame_024.jpg", + "lnShWOBzgGM/frame_025.jpg", + "lnShWOBzgGM/frame_026.jpg", + "lnShWOBzgGM/frame_027.jpg", + "lnShWOBzgGM/frame_028.jpg", + "lnShWOBzgGM/frame_029.jpg", + "lnShWOBzgGM/frame_030.jpg", + "lnShWOBzgGM/frame_031.jpg", + "lnShWOBzgGM/frame_032.jpg", + "lnShWOBzgGM/frame_033.jpg", + "lnShWOBzgGM/frame_034.jpg", + "lnShWOBzgGM/frame_035.jpg", + "lnShWOBzgGM/frame_036.jpg", + "lnShWOBzgGM/frame_037.jpg", + "lnShWOBzgGM/frame_038.jpg", + "lnShWOBzgGM/frame_039.jpg", + "lnShWOBzgGM/frame_040.jpg", + "lnShWOBzgGM/frame_041.jpg", + "lnShWOBzgGM/frame_042.jpg", + "lnShWOBzgGM/frame_043.jpg", + "lnShWOBzgGM/frame_044.jpg", + "lnShWOBzgGM/frame_045.jpg", + "lnShWOBzgGM/frame_046.jpg", + "lnShWOBzgGM/frame_047.jpg", + "lnShWOBzgGM/frame_048.jpg", + "lnShWOBzgGM/frame_049.jpg", + "lnShWOBzgGM/frame_050.jpg", + "lnShWOBzgGM/frame_051.jpg", + "lnShWOBzgGM/frame_052.jpg", + "lnShWOBzgGM/frame_053.jpg", + "lnShWOBzgGM/frame_054.jpg", + "lnShWOBzgGM/frame_055.jpg", + "lnShWOBzgGM/frame_056.jpg", + "lnShWOBzgGM/frame_057.jpg", + "lnShWOBzgGM/frame_058.jpg", + "lnShWOBzgGM/frame_059.jpg", + "lnShWOBzgGM/frame_060.jpg", + "lnShWOBzgGM/frame_061.jpg", + "lnShWOBzgGM/frame_062.jpg", + "lnShWOBzgGM/frame_063.jpg", + "lnShWOBzgGM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video includes a news report on Americans struggling with payments, featuring financial and governmental elements. It also includes expert and political interviews addressing the issue." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0025", + "input": { + "video_file_list": [ + "rSJLVbaDqXk_processed/frame_001.jpg", + "rSJLVbaDqXk_processed/frame_002.jpg", + "rSJLVbaDqXk_processed/frame_003.jpg", + "rSJLVbaDqXk_processed/frame_004.jpg", + "rSJLVbaDqXk_processed/frame_005.jpg", + "rSJLVbaDqXk_processed/frame_006.jpg", + "rSJLVbaDqXk_processed/frame_007.jpg", + "rSJLVbaDqXk_processed/frame_008.jpg", + "rSJLVbaDqXk_processed/frame_009.jpg", + "rSJLVbaDqXk_processed/frame_010.jpg", + "rSJLVbaDqXk_processed/frame_011.jpg", + "rSJLVbaDqXk_processed/frame_012.jpg", + "rSJLVbaDqXk_processed/frame_013.jpg", + "rSJLVbaDqXk_processed/frame_014.jpg", + "rSJLVbaDqXk_processed/frame_015.jpg", + "rSJLVbaDqXk_processed/frame_016.jpg", + "rSJLVbaDqXk_processed/frame_017.jpg", + "rSJLVbaDqXk_processed/frame_018.jpg", + "rSJLVbaDqXk_processed/frame_019.jpg", + "rSJLVbaDqXk_processed/frame_020.jpg", + "rSJLVbaDqXk_processed/frame_021.jpg", + "rSJLVbaDqXk_processed/frame_022.jpg", + "rSJLVbaDqXk_processed/frame_023.jpg", + "rSJLVbaDqXk_processed/frame_024.jpg", + "rSJLVbaDqXk_processed/frame_025.jpg", + "rSJLVbaDqXk_processed/frame_026.jpg", + "rSJLVbaDqXk_processed/frame_027.jpg", + "rSJLVbaDqXk_processed/frame_028.jpg", + "rSJLVbaDqXk_processed/frame_029.jpg", + "rSJLVbaDqXk_processed/frame_030.jpg", + "rSJLVbaDqXk_processed/frame_031.jpg", + "rSJLVbaDqXk_processed/frame_032.jpg", + "rSJLVbaDqXk_processed/frame_033.jpg", + "rSJLVbaDqXk_processed/frame_034.jpg", + "rSJLVbaDqXk_processed/frame_035.jpg", + "rSJLVbaDqXk_processed/frame_036.jpg", + "rSJLVbaDqXk_processed/frame_037.jpg", + "rSJLVbaDqXk_processed/frame_038.jpg", + "rSJLVbaDqXk_processed/frame_039.jpg", + "rSJLVbaDqXk_processed/frame_040.jpg", + "rSJLVbaDqXk_processed/frame_041.jpg", + "rSJLVbaDqXk_processed/frame_042.jpg", + "rSJLVbaDqXk_processed/frame_043.jpg", + "rSJLVbaDqXk_processed/frame_044.jpg", + "rSJLVbaDqXk_processed/frame_045.jpg", + "rSJLVbaDqXk_processed/frame_046.jpg", + "rSJLVbaDqXk_processed/frame_047.jpg", + "rSJLVbaDqXk_processed/frame_048.jpg", + "rSJLVbaDqXk_processed/frame_049.jpg", + "rSJLVbaDqXk_processed/frame_050.jpg", + "rSJLVbaDqXk_processed/frame_051.jpg", + "rSJLVbaDqXk_processed/frame_052.jpg", + "rSJLVbaDqXk_processed/frame_053.jpg", + "rSJLVbaDqXk_processed/frame_054.jpg", + "rSJLVbaDqXk_processed/frame_055.jpg", + "rSJLVbaDqXk_processed/frame_056.jpg", + "rSJLVbaDqXk_processed/frame_057.jpg", + "rSJLVbaDqXk_processed/frame_058.jpg", + "rSJLVbaDqXk_processed/frame_059.jpg", + "rSJLVbaDqXk_processed/frame_060.jpg", + "rSJLVbaDqXk_processed/frame_061.jpg", + "rSJLVbaDqXk_processed/frame_062.jpg", + "rSJLVbaDqXk_processed/frame_063.jpg", + "rSJLVbaDqXk_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video displays a graph with bars of various colors representing different car companies. These bars fluctuate over time, indicating changes in each company's sales. The years are listed at the bottom, allowing you to observe sales trends from year to year." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0000", + "input": { + "video_file_list": [ + "ZuqdsI5hNJ4/frame_001.jpg", + "ZuqdsI5hNJ4/frame_002.jpg", + "ZuqdsI5hNJ4/frame_003.jpg", + "ZuqdsI5hNJ4/frame_004.jpg", + "ZuqdsI5hNJ4/frame_005.jpg", + "ZuqdsI5hNJ4/frame_006.jpg", + "ZuqdsI5hNJ4/frame_007.jpg", + "ZuqdsI5hNJ4/frame_008.jpg", + "ZuqdsI5hNJ4/frame_009.jpg", + "ZuqdsI5hNJ4/frame_010.jpg", + "ZuqdsI5hNJ4/frame_011.jpg", + "ZuqdsI5hNJ4/frame_012.jpg", + "ZuqdsI5hNJ4/frame_013.jpg", + "ZuqdsI5hNJ4/frame_014.jpg", + "ZuqdsI5hNJ4/frame_015.jpg", + "ZuqdsI5hNJ4/frame_016.jpg", + "ZuqdsI5hNJ4/frame_017.jpg", + "ZuqdsI5hNJ4/frame_018.jpg", + "ZuqdsI5hNJ4/frame_019.jpg", + "ZuqdsI5hNJ4/frame_020.jpg", + "ZuqdsI5hNJ4/frame_021.jpg", + "ZuqdsI5hNJ4/frame_022.jpg", + "ZuqdsI5hNJ4/frame_023.jpg", + "ZuqdsI5hNJ4/frame_024.jpg", + "ZuqdsI5hNJ4/frame_025.jpg", + "ZuqdsI5hNJ4/frame_026.jpg", + "ZuqdsI5hNJ4/frame_027.jpg", + "ZuqdsI5hNJ4/frame_028.jpg", + "ZuqdsI5hNJ4/frame_029.jpg", + "ZuqdsI5hNJ4/frame_030.jpg", + "ZuqdsI5hNJ4/frame_031.jpg", + "ZuqdsI5hNJ4/frame_032.jpg", + "ZuqdsI5hNJ4/frame_033.jpg", + "ZuqdsI5hNJ4/frame_034.jpg", + "ZuqdsI5hNJ4/frame_035.jpg", + "ZuqdsI5hNJ4/frame_036.jpg", + "ZuqdsI5hNJ4/frame_037.jpg", + "ZuqdsI5hNJ4/frame_038.jpg", + "ZuqdsI5hNJ4/frame_039.jpg", + "ZuqdsI5hNJ4/frame_040.jpg", + "ZuqdsI5hNJ4/frame_041.jpg", + "ZuqdsI5hNJ4/frame_042.jpg", + "ZuqdsI5hNJ4/frame_043.jpg", + "ZuqdsI5hNJ4/frame_044.jpg", + "ZuqdsI5hNJ4/frame_045.jpg", + "ZuqdsI5hNJ4/frame_046.jpg", + "ZuqdsI5hNJ4/frame_047.jpg", + "ZuqdsI5hNJ4/frame_048.jpg", + "ZuqdsI5hNJ4/frame_049.jpg", + "ZuqdsI5hNJ4/frame_050.jpg", + "ZuqdsI5hNJ4/frame_051.jpg", + "ZuqdsI5hNJ4/frame_052.jpg", + "ZuqdsI5hNJ4/frame_053.jpg", + "ZuqdsI5hNJ4/frame_054.jpg", + "ZuqdsI5hNJ4/frame_055.jpg", + "ZuqdsI5hNJ4/frame_056.jpg", + "ZuqdsI5hNJ4/frame_057.jpg", + "ZuqdsI5hNJ4/frame_058.jpg", + "ZuqdsI5hNJ4/frame_059.jpg", + "ZuqdsI5hNJ4/frame_060.jpg", + "ZuqdsI5hNJ4/frame_061.jpg", + "ZuqdsI5hNJ4/frame_062.jpg", + "ZuqdsI5hNJ4/frame_063.jpg", + "ZuqdsI5hNJ4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man seated at a desk, speaking directly to the camera. He wears glasses and has short hair, with bookshelves lined with books in the background." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0004", + "input": { + "video_file_list": [ + "fFzInmGUNjQ/frame_001.jpg", + "fFzInmGUNjQ/frame_002.jpg", + "fFzInmGUNjQ/frame_003.jpg", + "fFzInmGUNjQ/frame_004.jpg", + "fFzInmGUNjQ/frame_005.jpg", + "fFzInmGUNjQ/frame_006.jpg", + "fFzInmGUNjQ/frame_007.jpg", + "fFzInmGUNjQ/frame_008.jpg", + "fFzInmGUNjQ/frame_009.jpg", + "fFzInmGUNjQ/frame_010.jpg", + "fFzInmGUNjQ/frame_011.jpg", + "fFzInmGUNjQ/frame_012.jpg", + "fFzInmGUNjQ/frame_013.jpg", + "fFzInmGUNjQ/frame_014.jpg", + "fFzInmGUNjQ/frame_015.jpg", + "fFzInmGUNjQ/frame_016.jpg", + "fFzInmGUNjQ/frame_017.jpg", + "fFzInmGUNjQ/frame_018.jpg", + "fFzInmGUNjQ/frame_019.jpg", + "fFzInmGUNjQ/frame_020.jpg", + "fFzInmGUNjQ/frame_021.jpg", + "fFzInmGUNjQ/frame_022.jpg", + "fFzInmGUNjQ/frame_023.jpg", + "fFzInmGUNjQ/frame_024.jpg", + "fFzInmGUNjQ/frame_025.jpg", + "fFzInmGUNjQ/frame_026.jpg", + 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"RSuloaATQRA/frame_045.jpg", + "RSuloaATQRA/frame_046.jpg", + "RSuloaATQRA/frame_047.jpg", + "RSuloaATQRA/frame_048.jpg", + "RSuloaATQRA/frame_049.jpg", + "RSuloaATQRA/frame_050.jpg", + "RSuloaATQRA/frame_051.jpg", + "RSuloaATQRA/frame_052.jpg", + "RSuloaATQRA/frame_053.jpg", + "RSuloaATQRA/frame_054.jpg", + "RSuloaATQRA/frame_055.jpg", + "RSuloaATQRA/frame_056.jpg", + "RSuloaATQRA/frame_057.jpg", + "RSuloaATQRA/frame_058.jpg", + "RSuloaATQRA/frame_059.jpg", + "RSuloaATQRA/frame_060.jpg", + "RSuloaATQRA/frame_061.jpg", + "RSuloaATQRA/frame_062.jpg", + "RSuloaATQRA/frame_063.jpg", + "RSuloaATQRA/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video displays the market caps of tech companies over the past 23 years, including Microsoft, Intel, IBM, Cisco, Oracle, Amazon, Apple, Google, Facebook, Alibaba, Tencent, Netflix, and Salesforce.com." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0011", + 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"8Ca3PHdgwYE/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts electric vehicle sales by brand from 2010 to 2021. It indicates that Tesla leads in sales, with Nissan and Chevrolet following closely. Additionally, the data shows an increasing trend in electric vehicle sales over the years." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0031", + "input": { + "video_file_list": [ + "Rues9ttLAjE/frame_001.jpg", + "Rues9ttLAjE/frame_002.jpg", + "Rues9ttLAjE/frame_003.jpg", + "Rues9ttLAjE/frame_004.jpg", + "Rues9ttLAjE/frame_005.jpg", + "Rues9ttLAjE/frame_006.jpg", + "Rues9ttLAjE/frame_007.jpg", + "Rues9ttLAjE/frame_008.jpg", + "Rues9ttLAjE/frame_009.jpg", + "Rues9ttLAjE/frame_010.jpg", + "Rues9ttLAjE/frame_011.jpg", + "Rues9ttLAjE/frame_012.jpg", + "Rues9ttLAjE/frame_013.jpg", + "Rues9ttLAjE/frame_014.jpg", + "Rues9ttLAjE/frame_015.jpg", + "Rues9ttLAjE/frame_016.jpg", + "Rues9ttLAjE/frame_017.jpg", + "Rues9ttLAjE/frame_018.jpg", + "Rues9ttLAjE/frame_019.jpg", + "Rues9ttLAjE/frame_020.jpg", + "Rues9ttLAjE/frame_021.jpg", + "Rues9ttLAjE/frame_022.jpg", + "Rues9ttLAjE/frame_023.jpg", + "Rues9ttLAjE/frame_024.jpg", + "Rues9ttLAjE/frame_025.jpg", + "Rues9ttLAjE/frame_026.jpg", + "Rues9ttLAjE/frame_027.jpg", + "Rues9ttLAjE/frame_028.jpg", + "Rues9ttLAjE/frame_029.jpg", + "Rues9ttLAjE/frame_030.jpg", + "Rues9ttLAjE/frame_031.jpg", + "Rues9ttLAjE/frame_032.jpg", + "Rues9ttLAjE/frame_033.jpg", + "Rues9ttLAjE/frame_034.jpg", + "Rues9ttLAjE/frame_035.jpg", + "Rues9ttLAjE/frame_036.jpg", + "Rues9ttLAjE/frame_037.jpg", + "Rues9ttLAjE/frame_038.jpg", + "Rues9ttLAjE/frame_039.jpg", + "Rues9ttLAjE/frame_040.jpg", + "Rues9ttLAjE/frame_041.jpg", + "Rues9ttLAjE/frame_042.jpg", + "Rues9ttLAjE/frame_043.jpg", + "Rues9ttLAjE/frame_044.jpg", + "Rues9ttLAjE/frame_045.jpg", + "Rues9ttLAjE/frame_046.jpg", + "Rues9ttLAjE/frame_047.jpg", + "Rues9ttLAjE/frame_048.jpg", + "Rues9ttLAjE/frame_049.jpg", + "Rues9ttLAjE/frame_050.jpg", + "Rues9ttLAjE/frame_051.jpg", + "Rues9ttLAjE/frame_052.jpg", + "Rues9ttLAjE/frame_053.jpg", + "Rues9ttLAjE/frame_054.jpg", + "Rues9ttLAjE/frame_055.jpg", + "Rues9ttLAjE/frame_056.jpg", + "Rues9ttLAjE/frame_057.jpg", + "Rues9ttLAjE/frame_058.jpg", + "Rues9ttLAjE/frame_059.jpg", + "Rues9ttLAjE/frame_060.jpg", + "Rues9ttLAjE/frame_061.jpg", + "Rues9ttLAjE/frame_062.jpg", + "Rues9ttLAjE/frame_063.jpg", + "Rues9ttLAjE/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a handshake among a group of men, a building displaying 'Top 10 Popular Cosmetics Companies 2023' on its sign, and a bottle of shampoo against a red background." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0029", + "input": { + "video_file_list": [ + "jF31ICvl1T8/frame_001.jpg", + "jF31ICvl1T8/frame_002.jpg", + "jF31ICvl1T8/frame_003.jpg", + "jF31ICvl1T8/frame_004.jpg", + "jF31ICvl1T8/frame_005.jpg", + "jF31ICvl1T8/frame_006.jpg", + "jF31ICvl1T8/frame_007.jpg", + "jF31ICvl1T8/frame_008.jpg", + "jF31ICvl1T8/frame_009.jpg", + "jF31ICvl1T8/frame_010.jpg", + "jF31ICvl1T8/frame_011.jpg", + "jF31ICvl1T8/frame_012.jpg", + "jF31ICvl1T8/frame_013.jpg", + "jF31ICvl1T8/frame_014.jpg", + "jF31ICvl1T8/frame_015.jpg", + "jF31ICvl1T8/frame_016.jpg", + "jF31ICvl1T8/frame_017.jpg", + "jF31ICvl1T8/frame_018.jpg", + "jF31ICvl1T8/frame_019.jpg", + "jF31ICvl1T8/frame_020.jpg", + "jF31ICvl1T8/frame_021.jpg", + "jF31ICvl1T8/frame_022.jpg", + "jF31ICvl1T8/frame_023.jpg", + "jF31ICvl1T8/frame_024.jpg", + "jF31ICvl1T8/frame_025.jpg", + "jF31ICvl1T8/frame_026.jpg", + "jF31ICvl1T8/frame_027.jpg", + "jF31ICvl1T8/frame_028.jpg", + "jF31ICvl1T8/frame_029.jpg", + "jF31ICvl1T8/frame_030.jpg", + "jF31ICvl1T8/frame_031.jpg", + "jF31ICvl1T8/frame_032.jpg", + "jF31ICvl1T8/frame_033.jpg", + "jF31ICvl1T8/frame_034.jpg", + "jF31ICvl1T8/frame_035.jpg", + "jF31ICvl1T8/frame_036.jpg", + "jF31ICvl1T8/frame_037.jpg", + "jF31ICvl1T8/frame_038.jpg", + "jF31ICvl1T8/frame_039.jpg", + "jF31ICvl1T8/frame_040.jpg", + "jF31ICvl1T8/frame_041.jpg", + "jF31ICvl1T8/frame_042.jpg", + "jF31ICvl1T8/frame_043.jpg", + "jF31ICvl1T8/frame_044.jpg", + "jF31ICvl1T8/frame_045.jpg", + "jF31ICvl1T8/frame_046.jpg", + "jF31ICvl1T8/frame_047.jpg", + "jF31ICvl1T8/frame_048.jpg", + "jF31ICvl1T8/frame_049.jpg", + "jF31ICvl1T8/frame_050.jpg", + "jF31ICvl1T8/frame_051.jpg", + "jF31ICvl1T8/frame_052.jpg", + "jF31ICvl1T8/frame_053.jpg", + "jF31ICvl1T8/frame_054.jpg", + "jF31ICvl1T8/frame_055.jpg", + "jF31ICvl1T8/frame_056.jpg", + "jF31ICvl1T8/frame_057.jpg", + "jF31ICvl1T8/frame_058.jpg", + "jF31ICvl1T8/frame_059.jpg", + "jF31ICvl1T8/frame_060.jpg", + "jF31ICvl1T8/frame_061.jpg", + "jF31ICvl1T8/frame_062.jpg", + "jF31ICvl1T8/frame_063.jpg", + "jF31ICvl1T8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man in a suit discussing finance, focusing on the scarcity of land for housing development. He also covers the median price of residential land in various cities. The segment concludes with the ABC News Australia logo." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0013", + "input": { + "video_file_list": [ + "Te1g_Ii0Apc/frame_001.jpg", + "Te1g_Ii0Apc/frame_002.jpg", + "Te1g_Ii0Apc/frame_003.jpg", + "Te1g_Ii0Apc/frame_004.jpg", + "Te1g_Ii0Apc/frame_005.jpg", + "Te1g_Ii0Apc/frame_006.jpg", + "Te1g_Ii0Apc/frame_007.jpg", + "Te1g_Ii0Apc/frame_008.jpg", + "Te1g_Ii0Apc/frame_009.jpg", + "Te1g_Ii0Apc/frame_010.jpg", + "Te1g_Ii0Apc/frame_011.jpg", + "Te1g_Ii0Apc/frame_012.jpg", + "Te1g_Ii0Apc/frame_013.jpg", + "Te1g_Ii0Apc/frame_014.jpg", + "Te1g_Ii0Apc/frame_015.jpg", + "Te1g_Ii0Apc/frame_016.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a machine with a green chair and a metallic component, as well as a detailed close-up of a machine with a metal part." + } + }, + { + "id": "vc_closeset_businessvideocaptioning_0028", + "input": { + "video_file_list": [ + "HtFrFZN8ud4/frame_001.jpg", + "HtFrFZN8ud4/frame_002.jpg", + "HtFrFZN8ud4/frame_003.jpg", + "HtFrFZN8ud4/frame_004.jpg", + "HtFrFZN8ud4/frame_005.jpg", + "HtFrFZN8ud4/frame_006.jpg", + "HtFrFZN8ud4/frame_007.jpg", + "HtFrFZN8ud4/frame_008.jpg", + "HtFrFZN8ud4/frame_009.jpg", + "HtFrFZN8ud4/frame_010.jpg", + "HtFrFZN8ud4/frame_011.jpg", + "HtFrFZN8ud4/frame_012.jpg", + "HtFrFZN8ud4/frame_013.jpg", + "HtFrFZN8ud4/frame_014.jpg", + "HtFrFZN8ud4/frame_015.jpg", + "HtFrFZN8ud4/frame_016.jpg", + "HtFrFZN8ud4/frame_017.jpg", + "HtFrFZN8ud4/frame_018.jpg", + "HtFrFZN8ud4/frame_019.jpg", + "HtFrFZN8ud4/frame_020.jpg", + "HtFrFZN8ud4/frame_021.jpg", + "HtFrFZN8ud4/frame_022.jpg", + "HtFrFZN8ud4/frame_023.jpg", + "HtFrFZN8ud4/frame_024.jpg", + "HtFrFZN8ud4/frame_025.jpg", + "HtFrFZN8ud4/frame_026.jpg", + "HtFrFZN8ud4/frame_027.jpg", + "HtFrFZN8ud4/frame_028.jpg", + "HtFrFZN8ud4/frame_029.jpg", + "HtFrFZN8ud4/frame_030.jpg", + "HtFrFZN8ud4/frame_031.jpg", + "HtFrFZN8ud4/frame_032.jpg", + "HtFrFZN8ud4/frame_033.jpg", + "HtFrFZN8ud4/frame_034.jpg", + "HtFrFZN8ud4/frame_035.jpg", + "HtFrFZN8ud4/frame_036.jpg", + "HtFrFZN8ud4/frame_037.jpg", + "HtFrFZN8ud4/frame_038.jpg", + "HtFrFZN8ud4/frame_039.jpg", + "HtFrFZN8ud4/frame_040.jpg", + "HtFrFZN8ud4/frame_041.jpg", + "HtFrFZN8ud4/frame_042.jpg", + "HtFrFZN8ud4/frame_043.jpg", + "HtFrFZN8ud4/frame_044.jpg", + "HtFrFZN8ud4/frame_045.jpg", + "HtFrFZN8ud4/frame_046.jpg", + "HtFrFZN8ud4/frame_047.jpg", + "HtFrFZN8ud4/frame_048.jpg", + "HtFrFZN8ud4/frame_049.jpg", + "HtFrFZN8ud4/frame_050.jpg", + "HtFrFZN8ud4/frame_051.jpg", + "HtFrFZN8ud4/frame_052.jpg", + "HtFrFZN8ud4/frame_053.jpg", + "HtFrFZN8ud4/frame_054.jpg", + "HtFrFZN8ud4/frame_055.jpg", + "HtFrFZN8ud4/frame_056.jpg", + "HtFrFZN8ud4/frame_057.jpg", + "HtFrFZN8ud4/frame_058.jpg", + "HtFrFZN8ud4/frame_059.jpg", + "HtFrFZN8ud4/frame_060.jpg", + "HtFrFZN8ud4/frame_061.jpg", + "HtFrFZN8ud4/frame_062.jpg", + "HtFrFZN8ud4/frame_063.jpg", + "HtFrFZN8ud4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a countdown of ten Indian IT companies, showcasing their names and logos before concluding with a thank you message." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ColorMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ColorMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a63743f72eff9d567a278dc0e5bb46dc3324ed0b --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ColorMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm0090", + "input": { + "video_folder": "./images/0090", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 1 3 2." + }, + "output": {} + }, + { + "id": "vm0077", + "input": { + "video_folder": "./images/0077", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 6 4 5 7 1 3 8 9 2." + }, + "output": {} + }, + { + "id": "vm0294", + "input": { + "video_folder": "./images/0294", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 1 4 3." + }, + "output": {} + }, + { + "id": "vm0270", + "input": { + "video_folder": "./images/0270", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 7 4 6 8 1 5 3 2." + }, + "output": {} + }, + { + "id": "vm0270", + "input": { + "video_folder": "./images/0270", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 6 1 8 4 2 5 7 3." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ComedyVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ComedyVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ac63c62a03e72a0ddc78080830e240f55ebaded --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ComedyVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ComedyVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_comedyvideoquestionanswering_0017", + "input": { + "video_file_list": [ + "n6agArPvRfg/0.jpg", + "n6agArPvRfg/1.jpg", + "n6agArPvRfg/2.jpg", + "n6agArPvRfg/3.jpg", + "n6agArPvRfg/4.jpg", + 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the audience member add to the show's appeal?" + }, + "output": { + "text": "The exchange provides a humorous and relatable moment, drawing viewers into the dynamic atmosphere of the show, showcasing the spontaneous and comedic interactions that occur during live shows." + } + }, + { + "id": "vc_closeset_comedyvideoquestionanswering_0028", + "input": { + "video_file_list": [ + "7YfJ0sMf120/0.jpg", + "7YfJ0sMf120/1.jpg", + "7YfJ0sMf120/2.jpg", + "7YfJ0sMf120/3.jpg", + "7YfJ0sMf120/4.jpg", + "7YfJ0sMf120/5.jpg", + "7YfJ0sMf120/6.jpg", + "7YfJ0sMf120/7.jpg", + "7YfJ0sMf120/8.jpg", + "7YfJ0sMf120/9.jpg", + "7YfJ0sMf120/10.jpg", + "7YfJ0sMf120/11.jpg", + "7YfJ0sMf120/12.jpg", + "7YfJ0sMf120/13.jpg", + "7YfJ0sMf120/14.jpg", + "7YfJ0sMf120/15.jpg", + "7YfJ0sMf120/16.jpg", + "7YfJ0sMf120/17.jpg", + "7YfJ0sMf120/18.jpg", + "7YfJ0sMf120/19.jpg", + "7YfJ0sMf120/20.jpg", + "7YfJ0sMf120/21.jpg", + "7YfJ0sMf120/22.jpg", + "7YfJ0sMf120/23.jpg", + "7YfJ0sMf120/24.jpg", + "7YfJ0sMf120/25.jpg", + 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"The video commences with an introduction featuring the exterior view of a dental clinic named \"DOCTORCITO TROMPITAS.\"" + } + }, + { + "id": "vc_closeset_comedyvideoquestionanswering_0014", + "input": { + "video_file_list": [ + "lab3jhK15uo/0.jpg", + "lab3jhK15uo/1.jpg", + "lab3jhK15uo/2.jpg", + "lab3jhK15uo/3.jpg", + "lab3jhK15uo/4.jpg", + "lab3jhK15uo/5.jpg", + "lab3jhK15uo/6.jpg", + "lab3jhK15uo/7.jpg", + "lab3jhK15uo/8.jpg", + "lab3jhK15uo/9.jpg", + "lab3jhK15uo/10.jpg", + "lab3jhK15uo/11.jpg", + "lab3jhK15uo/12.jpg", + "lab3jhK15uo/13.jpg", + "lab3jhK15uo/14.jpg", + "lab3jhK15uo/15.jpg", + "lab3jhK15uo/16.jpg", + "lab3jhK15uo/17.jpg", + "lab3jhK15uo/18.jpg", + "lab3jhK15uo/19.jpg", + "lab3jhK15uo/20.jpg", + "lab3jhK15uo/21.jpg", + "lab3jhK15uo/22.jpg", + "lab3jhK15uo/23.jpg", + "lab3jhK15uo/24.jpg", + "lab3jhK15uo/25.jpg", + "lab3jhK15uo/26.jpg", + "lab3jhK15uo/27.jpg", + "lab3jhK15uo/28.jpg", + "lab3jhK15uo/29.jpg", + "lab3jhK15uo/30.jpg", + "lab3jhK15uo/31.jpg", + "lab3jhK15uo/32.jpg", + "lab3jhK15uo/33.jpg", + "lab3jhK15uo/34.jpg", + "lab3jhK15uo/35.jpg", + "lab3jhK15uo/36.jpg", + "lab3jhK15uo/37.jpg", + "lab3jhK15uo/38.jpg", + "lab3jhK15uo/39.jpg", + "lab3jhK15uo/40.jpg", + "lab3jhK15uo/41.jpg", + "lab3jhK15uo/42.jpg", + "lab3jhK15uo/43.jpg", + "lab3jhK15uo/44.jpg", + "lab3jhK15uo/45.jpg", + "lab3jhK15uo/46.jpg", + "lab3jhK15uo/47.jpg", + "lab3jhK15uo/48.jpg", + "lab3jhK15uo/49.jpg", + "lab3jhK15uo/50.jpg", + "lab3jhK15uo/51.jpg", + "lab3jhK15uo/52.jpg", + "lab3jhK15uo/53.jpg", + "lab3jhK15uo/54.jpg", + "lab3jhK15uo/55.jpg", + "lab3jhK15uo/56.jpg", + "lab3jhK15uo/57.jpg", + "lab3jhK15uo/58.jpg", + "lab3jhK15uo/59.jpg", + "lab3jhK15uo/60.jpg", + "lab3jhK15uo/61.jpg", + "lab3jhK15uo/62.jpg", + "lab3jhK15uo/63.jpg" + ], + "prompt": "What happens at the beginning of the video?" + }, + "output": { + "text": "The video begins with a slide featuring the title \"Every Sleepover Ever.\"" + } + }, + { + "id": "vc_closeset_comedyvideoquestionanswering_0001", + "input": { + "video_file_list": [ + "54z8jWNM0bE/0.jpg", + "54z8jWNM0bE/1.jpg", + "54z8jWNM0bE/2.jpg", + "54z8jWNM0bE/3.jpg", + "54z8jWNM0bE/4.jpg", + "54z8jWNM0bE/5.jpg", + "54z8jWNM0bE/6.jpg", + "54z8jWNM0bE/7.jpg", + "54z8jWNM0bE/8.jpg", + "54z8jWNM0bE/9.jpg", + "54z8jWNM0bE/10.jpg", + "54z8jWNM0bE/11.jpg", + "54z8jWNM0bE/12.jpg", + "54z8jWNM0bE/13.jpg", + "54z8jWNM0bE/14.jpg", + "54z8jWNM0bE/15.jpg", + "54z8jWNM0bE/16.jpg", + "54z8jWNM0bE/17.jpg", + "54z8jWNM0bE/18.jpg", + "54z8jWNM0bE/19.jpg", + "54z8jWNM0bE/20.jpg", + "54z8jWNM0bE/21.jpg", + "54z8jWNM0bE/22.jpg", + "54z8jWNM0bE/23.jpg", + "54z8jWNM0bE/24.jpg", + "54z8jWNM0bE/25.jpg", + "54z8jWNM0bE/26.jpg", + "54z8jWNM0bE/27.jpg", + "54z8jWNM0bE/28.jpg", + "54z8jWNM0bE/29.jpg", + "54z8jWNM0bE/30.jpg", + "54z8jWNM0bE/31.jpg", + "54z8jWNM0bE/32.jpg", + "54z8jWNM0bE/33.jpg", + "54z8jWNM0bE/34.jpg", + "54z8jWNM0bE/35.jpg", + "54z8jWNM0bE/36.jpg", + "54z8jWNM0bE/37.jpg", + "54z8jWNM0bE/38.jpg", + "54z8jWNM0bE/39.jpg", + "54z8jWNM0bE/40.jpg", + "54z8jWNM0bE/41.jpg", + "54z8jWNM0bE/42.jpg", + "54z8jWNM0bE/43.jpg", + "54z8jWNM0bE/44.jpg", + "54z8jWNM0bE/45.jpg", + "54z8jWNM0bE/46.jpg", + "54z8jWNM0bE/47.jpg", + "54z8jWNM0bE/48.jpg", + "54z8jWNM0bE/49.jpg", + "54z8jWNM0bE/50.jpg", + "54z8jWNM0bE/51.jpg", + "54z8jWNM0bE/52.jpg", + "54z8jWNM0bE/53.jpg", + "54z8jWNM0bE/54.jpg", + "54z8jWNM0bE/55.jpg", + "54z8jWNM0bE/56.jpg", + "54z8jWNM0bE/57.jpg", + "54z8jWNM0bE/58.jpg", + "54z8jWNM0bE/59.jpg", + "54z8jWNM0bE/60.jpg", + "54z8jWNM0bE/61.jpg", + "54z8jWNM0bE/62.jpg", + "54z8jWNM0bE/63.jpg" + ], + "prompt": "Why is the man satisfied at the beginning of the interview?" + }, + "output": { + "text": "The man is satisfied because he has been officially recognized as a New Yorker." + } + }, + { + "id": "vc_closeset_comedyvideoquestionanswering_0045", + "input": { + "video_file_list": [ + "mYNJ4GGb_Wo/0.jpg", + "mYNJ4GGb_Wo/1.jpg", + "mYNJ4GGb_Wo/2.jpg", + "mYNJ4GGb_Wo/3.jpg", + "mYNJ4GGb_Wo/4.jpg", + "mYNJ4GGb_Wo/5.jpg", + "mYNJ4GGb_Wo/6.jpg", + "mYNJ4GGb_Wo/7.jpg", + "mYNJ4GGb_Wo/8.jpg", + "mYNJ4GGb_Wo/9.jpg", + "mYNJ4GGb_Wo/10.jpg", + "mYNJ4GGb_Wo/11.jpg", + "mYNJ4GGb_Wo/12.jpg", + "mYNJ4GGb_Wo/13.jpg", + "mYNJ4GGb_Wo/14.jpg", + "mYNJ4GGb_Wo/15.jpg", + "mYNJ4GGb_Wo/16.jpg", + "mYNJ4GGb_Wo/17.jpg", + "mYNJ4GGb_Wo/18.jpg", + "mYNJ4GGb_Wo/19.jpg", + "mYNJ4GGb_Wo/20.jpg", + "mYNJ4GGb_Wo/21.jpg", + "mYNJ4GGb_Wo/22.jpg", + "mYNJ4GGb_Wo/23.jpg", + "mYNJ4GGb_Wo/24.jpg", + "mYNJ4GGb_Wo/25.jpg", + "mYNJ4GGb_Wo/26.jpg", + "mYNJ4GGb_Wo/27.jpg", + "mYNJ4GGb_Wo/28.jpg", + "mYNJ4GGb_Wo/29.jpg", + "mYNJ4GGb_Wo/30.jpg", + "mYNJ4GGb_Wo/31.jpg", + "mYNJ4GGb_Wo/32.jpg", + "mYNJ4GGb_Wo/33.jpg", + "mYNJ4GGb_Wo/34.jpg", + "mYNJ4GGb_Wo/35.jpg", + "mYNJ4GGb_Wo/36.jpg", + "mYNJ4GGb_Wo/37.jpg", + "mYNJ4GGb_Wo/38.jpg", + "mYNJ4GGb_Wo/39.jpg", + "mYNJ4GGb_Wo/40.jpg", + "mYNJ4GGb_Wo/41.jpg", + "mYNJ4GGb_Wo/42.jpg", + "mYNJ4GGb_Wo/43.jpg", + "mYNJ4GGb_Wo/44.jpg", + "mYNJ4GGb_Wo/45.jpg", + "mYNJ4GGb_Wo/46.jpg", + "mYNJ4GGb_Wo/47.jpg", + "mYNJ4GGb_Wo/48.jpg", + "mYNJ4GGb_Wo/49.jpg", + "mYNJ4GGb_Wo/50.jpg", + "mYNJ4GGb_Wo/51.jpg", + "mYNJ4GGb_Wo/52.jpg", + "mYNJ4GGb_Wo/53.jpg", + "mYNJ4GGb_Wo/54.jpg", + "mYNJ4GGb_Wo/55.jpg", + "mYNJ4GGb_Wo/56.jpg", + "mYNJ4GGb_Wo/57.jpg", + "mYNJ4GGb_Wo/58.jpg", + "mYNJ4GGb_Wo/59.jpg", + "mYNJ4GGb_Wo/60.jpg", + "mYNJ4GGb_Wo/61.jpg", + "mYNJ4GGb_Wo/62.jpg", + "mYNJ4GGb_Wo/63.jpg" + ], + "prompt": "Why does the female participant humorously refuse to let her son visit a certain type of establishment?" + }, + "output": { + "text": "The female participant contemplates the appearance of their future kids and expresses a humorous refusal to let her son visit a certain type of establishment, likely in a playful tone regarding certain influences on children's upbringing." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ComplexSceneFlowEstimate/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ComplexSceneFlowEstimate/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee00c0c32070aa626e94901715183264391eee1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ComplexSceneFlowEstimate/annotation.json @@ -0,0 +1,128 @@ +{ + "task": "video optical flow, Complex Scene Estimate", + "data_source": "ChairsSDHom", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "Flow_ChairsSDHom_0133", + "input": { + "images": [ + "images/0133/img1.png", + "images/0133/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0080", + "input": { + "images": [ + "images/0080/img1.png", + "images/0080/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0007", + "input": { + "images": [ + "images/0007/img1.png", + "images/0007/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0144", + "input": { + "images": [ + "images/0144/img1.png", + "images/0144/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0095", + "input": { + "images": [ + "images/0095/img1.png", + "images/0095/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0057", + "input": { + "images": [ + "images/0057/img1.png", + "images/0057/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0074", + "input": { + "images": [ + "images/0074/img1.png", + "images/0074/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0098", + "input": { + "images": [ + "images/0098/img1.png", + "images/0098/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0116", + "input": { + "images": [ + "images/0116/img1.png", + "images/0116/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_ChairsSDHom_0096", + "input": { + "images": [ + "images/0096/img1.png", + "images/0096/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/CrowdTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/CrowdTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..28e33e33cfe966d802c03bcba8cce3335dba03ca --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/CrowdTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, crowd video, short, person_short", + "data_source": "DanceTrack", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_crowd0033", + "input": { + "video_folder": "./images/0033", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd0203", + "input": { + "video_folder": "./images/0203", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd0105", + "input": { + "video_folder": "./images/0105", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd0400", + "input": { + "video_folder": "./images/0400", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd0251", + "input": { + "video_folder": "./images/0251", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/DailyLifeAndSkillsVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/DailyLifeAndSkillsVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..17d12d408605fdca88eeb215e0b89f9378216ed1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/DailyLifeAndSkillsVideoCaptioning/annotation.json @@ -0,0 +1,451 @@ +{ + "task": "DailyLifeAndSkillsVideoCaptioning", + "data_source": "k600", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_0130", + "input": { + "video_file_list": [ + "ytXNB987P60_000568_000578/frame_00000.jpg", + "ytXNB987P60_000568_000578/frame_00009.jpg", + "ytXNB987P60_000568_000578/frame_00018.jpg", + "ytXNB987P60_000568_000578/frame_00027.jpg", + "ytXNB987P60_000568_000578/frame_00036.jpg", + "ytXNB987P60_000568_000578/frame_00045.jpg", + "ytXNB987P60_000568_000578/frame_00054.jpg", + "ytXNB987P60_000568_000578/frame_00063.jpg", + "ytXNB987P60_000568_000578/frame_00072.jpg", + "ytXNB987P60_000568_000578/frame_00081.jpg", + "ytXNB987P60_000568_000578/frame_00090.jpg", + "ytXNB987P60_000568_000578/frame_00099.jpg", + "ytXNB987P60_000568_000578/frame_00108.jpg", + "ytXNB987P60_000568_000578/frame_00117.jpg", + "ytXNB987P60_000568_000578/frame_00126.jpg", + "ytXNB987P60_000568_000578/frame_00135.jpg", + "ytXNB987P60_000568_000578/frame_00144.jpg", + "ytXNB987P60_000568_000578/frame_00153.jpg", + "ytXNB987P60_000568_000578/frame_00162.jpg", + "ytXNB987P60_000568_000578/frame_00171.jpg", + "ytXNB987P60_000568_000578/frame_00180.jpg", + "ytXNB987P60_000568_000578/frame_00189.jpg", + "ytXNB987P60_000568_000578/frame_00198.jpg", + "ytXNB987P60_000568_000578/frame_00207.jpg", + "ytXNB987P60_000568_000578/frame_00216.jpg", + "ytXNB987P60_000568_000578/frame_00225.jpg", + "ytXNB987P60_000568_000578/frame_00234.jpg", + "ytXNB987P60_000568_000578/frame_00243.jpg", + "ytXNB987P60_000568_000578/frame_00252.jpg", + "ytXNB987P60_000568_000578/frame_00261.jpg", + "ytXNB987P60_000568_000578/frame_00270.jpg", + "ytXNB987P60_000568_000578/frame_00279.jpg", + "ytXNB987P60_000568_000578/frame_00288.jpg", + "ytXNB987P60_000568_000578/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Calculating, the person moves a calculator aside and continues writing on the paper." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_0390", + "input": { + "video_file_list": [ + "2vqzinUOYSk_000066_000076/frame_00000.jpg", + "2vqzinUOYSk_000066_000076/frame_00006.jpg", + "2vqzinUOYSk_000066_000076/frame_00012.jpg", + "2vqzinUOYSk_000066_000076/frame_00018.jpg", + "2vqzinUOYSk_000066_000076/frame_00024.jpg", + "2vqzinUOYSk_000066_000076/frame_00030.jpg", + "2vqzinUOYSk_000066_000076/frame_00036.jpg", + "2vqzinUOYSk_000066_000076/frame_00042.jpg", + "2vqzinUOYSk_000066_000076/frame_00048.jpg", + "2vqzinUOYSk_000066_000076/frame_00054.jpg", + "2vqzinUOYSk_000066_000076/frame_00060.jpg", + "2vqzinUOYSk_000066_000076/frame_00066.jpg", + "2vqzinUOYSk_000066_000076/frame_00072.jpg", + "2vqzinUOYSk_000066_000076/frame_00078.jpg", + "2vqzinUOYSk_000066_000076/frame_00084.jpg", + "2vqzinUOYSk_000066_000076/frame_00090.jpg", + "2vqzinUOYSk_000066_000076/frame_00096.jpg", + "2vqzinUOYSk_000066_000076/frame_00102.jpg", + "2vqzinUOYSk_000066_000076/frame_00108.jpg", + "2vqzinUOYSk_000066_000076/frame_00114.jpg", + "2vqzinUOYSk_000066_000076/frame_00120.jpg", + "2vqzinUOYSk_000066_000076/frame_00126.jpg", + "2vqzinUOYSk_000066_000076/frame_00132.jpg", + "2vqzinUOYSk_000066_000076/frame_00138.jpg", + "2vqzinUOYSk_000066_000076/frame_00144.jpg", + "2vqzinUOYSk_000066_000076/frame_00150.jpg", + "2vqzinUOYSk_000066_000076/frame_00156.jpg", + "2vqzinUOYSk_000066_000076/frame_00162.jpg", + "2vqzinUOYSk_000066_000076/frame_00168.jpg", + "2vqzinUOYSk_000066_000076/frame_00174.jpg", + "2vqzinUOYSk_000066_000076/frame_00180.jpg", + "2vqzinUOYSk_000066_000076/frame_00186.jpg", + "2vqzinUOYSk_000066_000076/frame_00192.jpg", + "2vqzinUOYSk_000066_000076/frame_00198.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Shucking oysters is shown in the video as a person does so on a table. There is a large pile of oysters on the table, and a ladder and bucket are visible in the background." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_1114", + "input": { + "video_file_list": [ + "yi_opsuyb8g_000014_000024/frame_00000.jpg", + "yi_opsuyb8g_000014_000024/frame_00009.jpg", + "yi_opsuyb8g_000014_000024/frame_00018.jpg", + "yi_opsuyb8g_000014_000024/frame_00027.jpg", + "yi_opsuyb8g_000014_000024/frame_00036.jpg", + "yi_opsuyb8g_000014_000024/frame_00045.jpg", + "yi_opsuyb8g_000014_000024/frame_00054.jpg", + "yi_opsuyb8g_000014_000024/frame_00063.jpg", + "yi_opsuyb8g_000014_000024/frame_00072.jpg", + "yi_opsuyb8g_000014_000024/frame_00081.jpg", + "yi_opsuyb8g_000014_000024/frame_00090.jpg", + "yi_opsuyb8g_000014_000024/frame_00099.jpg", + "yi_opsuyb8g_000014_000024/frame_00108.jpg", + "yi_opsuyb8g_000014_000024/frame_00117.jpg", + "yi_opsuyb8g_000014_000024/frame_00126.jpg", + "yi_opsuyb8g_000014_000024/frame_00135.jpg", + 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table." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_0969", + "input": { + "video_file_list": [ + "ShsuXtbJksY_000036_000046/frame_00000.jpg", + "ShsuXtbJksY_000036_000046/frame_00009.jpg", + "ShsuXtbJksY_000036_000046/frame_00018.jpg", + "ShsuXtbJksY_000036_000046/frame_00027.jpg", + "ShsuXtbJksY_000036_000046/frame_00036.jpg", + "ShsuXtbJksY_000036_000046/frame_00045.jpg", + "ShsuXtbJksY_000036_000046/frame_00054.jpg", + "ShsuXtbJksY_000036_000046/frame_00063.jpg", + "ShsuXtbJksY_000036_000046/frame_00072.jpg", + "ShsuXtbJksY_000036_000046/frame_00081.jpg", + "ShsuXtbJksY_000036_000046/frame_00090.jpg", + "ShsuXtbJksY_000036_000046/frame_00099.jpg", + "ShsuXtbJksY_000036_000046/frame_00108.jpg", + "ShsuXtbJksY_000036_000046/frame_00117.jpg", + "ShsuXtbJksY_000036_000046/frame_00126.jpg", + "ShsuXtbJksY_000036_000046/frame_00135.jpg", + "ShsuXtbJksY_000036_000046/frame_00144.jpg", + "ShsuXtbJksY_000036_000046/frame_00153.jpg", + 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"vc_closeset_dailylifeandskillsvideocaptioning_0227", + "input": { + "video_file_list": [ + "uu1NvSTSMek_000085_000095/frame_00000.jpg", + "uu1NvSTSMek_000085_000095/frame_00010.jpg", + "uu1NvSTSMek_000085_000095/frame_00020.jpg", + "uu1NvSTSMek_000085_000095/frame_00030.jpg", + "uu1NvSTSMek_000085_000095/frame_00040.jpg", + "uu1NvSTSMek_000085_000095/frame_00050.jpg", + "uu1NvSTSMek_000085_000095/frame_00060.jpg", + "uu1NvSTSMek_000085_000095/frame_00070.jpg", + "uu1NvSTSMek_000085_000095/frame_00080.jpg", + "uu1NvSTSMek_000085_000095/frame_00090.jpg", + "uu1NvSTSMek_000085_000095/frame_00100.jpg", + "uu1NvSTSMek_000085_000095/frame_00110.jpg", + "uu1NvSTSMek_000085_000095/frame_00120.jpg", + "uu1NvSTSMek_000085_000095/frame_00130.jpg", + "uu1NvSTSMek_000085_000095/frame_00140.jpg", + "uu1NvSTSMek_000085_000095/frame_00150.jpg", + "uu1NvSTSMek_000085_000095/frame_00160.jpg", + "uu1NvSTSMek_000085_000095/frame_00170.jpg", + "uu1NvSTSMek_000085_000095/frame_00180.jpg", + 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"qnv68aONp1c_000051_000061/frame_00243.jpg", + "qnv68aONp1c_000051_000061/frame_00252.jpg", + "qnv68aONp1c_000051_000061/frame_00261.jpg", + "qnv68aONp1c_000051_000061/frame_00270.jpg", + "qnv68aONp1c_000051_000061/frame_00279.jpg", + "qnv68aONp1c_000051_000061/frame_00288.jpg", + "qnv68aONp1c_000051_000061/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Driving car: A car moves down the road with another car following closely behind." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_1174", + "input": { + "video_file_list": [ + "g0-Tbyxn9Jg_000017_000027/frame_00000.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00002.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00004.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00006.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00008.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00010.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00012.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00014.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00016.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00018.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00020.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00022.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00024.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00026.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00028.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00030.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00032.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00034.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00036.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00038.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00040.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00042.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00044.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00046.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00048.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00050.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00052.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00054.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00056.jpg", + "g0-Tbyxn9Jg_000017_000027/frame_00058.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Lighting the pile of wood on the ground, flames quickly spread, creating a bright blaze that produces sparks and smoke." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_0042", + "input": { + "video_file_list": [ + "9HcD1X5VVZU_000017_000027/frame_00000.jpg", + "9HcD1X5VVZU_000017_000027/frame_00010.jpg", + "9HcD1X5VVZU_000017_000027/frame_00020.jpg", + "9HcD1X5VVZU_000017_000027/frame_00030.jpg", + "9HcD1X5VVZU_000017_000027/frame_00040.jpg", + "9HcD1X5VVZU_000017_000027/frame_00050.jpg", + "9HcD1X5VVZU_000017_000027/frame_00060.jpg", + "9HcD1X5VVZU_000017_000027/frame_00070.jpg", + "9HcD1X5VVZU_000017_000027/frame_00080.jpg", + "9HcD1X5VVZU_000017_000027/frame_00090.jpg", + "9HcD1X5VVZU_000017_000027/frame_00100.jpg", + "9HcD1X5VVZU_000017_000027/frame_00110.jpg", + "9HcD1X5VVZU_000017_000027/frame_00120.jpg", + "9HcD1X5VVZU_000017_000027/frame_00130.jpg", + "9HcD1X5VVZU_000017_000027/frame_00140.jpg", + "9HcD1X5VVZU_000017_000027/frame_00150.jpg", + "9HcD1X5VVZU_000017_000027/frame_00160.jpg", + "9HcD1X5VVZU_000017_000027/frame_00170.jpg", + "9HcD1X5VVZU_000017_000027/frame_00180.jpg", + "9HcD1X5VVZU_000017_000027/frame_00190.jpg", + "9HcD1X5VVZU_000017_000027/frame_00200.jpg", + "9HcD1X5VVZU_000017_000027/frame_00210.jpg", + "9HcD1X5VVZU_000017_000027/frame_00220.jpg", + "9HcD1X5VVZU_000017_000027/frame_00230.jpg", + "9HcD1X5VVZU_000017_000027/frame_00240.jpg", + "9HcD1X5VVZU_000017_000027/frame_00250.jpg", + "9HcD1X5VVZU_000017_000027/frame_00260.jpg", + "9HcD1X5VVZU_000017_000027/frame_00270.jpg", + "9HcD1X5VVZU_000017_000027/frame_00280.jpg", + "9HcD1X5VVZU_000017_000027/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Milking a cow, a girl sits on the ground and collects milk into a bucket. The cow remains calm throughout." + } + }, + { + "id": "vc_closeset_dailylifeandskillsvideocaptioning_0030", + "input": { + "video_file_list": [ + "Mr9nsYDIpwM_000193_000203/frame_00000.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00009.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00018.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00027.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00036.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00045.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00054.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00063.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00072.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00081.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00090.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00099.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00108.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00117.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00126.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00135.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00144.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00153.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00162.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00171.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00180.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00189.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00198.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00207.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00216.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00225.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00234.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00243.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00252.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00261.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00270.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00279.jpg", + "Mr9nsYDIpwM_000193_000203/frame_00288.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Gold panning is demonstrated in the video, where a person swirls water and sediment in a black bowl to separate gold from dirt and rocks. Excess water and sediment are then poured out, leaving potential gold behind." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/EducationVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/EducationVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fa4ae81f15c92e5e7522be6b8ea7647c31f9ea88 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/EducationVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "EducationVideoQuestionAnswering", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_educationvideoquestionanswering_0093", + "input": { + "video_file_list": [ + "aqTIB_q40bo/0.jpg", + "aqTIB_q40bo/1.jpg", + "aqTIB_q40bo/2.jpg", + "aqTIB_q40bo/3.jpg", + "aqTIB_q40bo/4.jpg", + "aqTIB_q40bo/5.jpg", + "aqTIB_q40bo/6.jpg", + "aqTIB_q40bo/7.jpg", + "aqTIB_q40bo/8.jpg", + "aqTIB_q40bo/9.jpg", + "aqTIB_q40bo/10.jpg", + "aqTIB_q40bo/11.jpg", + "aqTIB_q40bo/12.jpg", + "aqTIB_q40bo/13.jpg", + "aqTIB_q40bo/14.jpg", + "aqTIB_q40bo/15.jpg", + "aqTIB_q40bo/16.jpg", + "aqTIB_q40bo/17.jpg", + "aqTIB_q40bo/18.jpg", + "aqTIB_q40bo/19.jpg", + "aqTIB_q40bo/20.jpg", + "aqTIB_q40bo/21.jpg", + "aqTIB_q40bo/22.jpg", + "aqTIB_q40bo/23.jpg", + "aqTIB_q40bo/24.jpg", + "aqTIB_q40bo/25.jpg", + "aqTIB_q40bo/26.jpg", + "aqTIB_q40bo/27.jpg", + "aqTIB_q40bo/28.jpg", + "aqTIB_q40bo/29.jpg", + "aqTIB_q40bo/30.jpg", + "aqTIB_q40bo/31.jpg", + "aqTIB_q40bo/32.jpg", + "aqTIB_q40bo/33.jpg", + "aqTIB_q40bo/34.jpg", + "aqTIB_q40bo/35.jpg", + "aqTIB_q40bo/36.jpg", + "aqTIB_q40bo/37.jpg", + "aqTIB_q40bo/38.jpg", + "aqTIB_q40bo/39.jpg", + "aqTIB_q40bo/40.jpg", + "aqTIB_q40bo/41.jpg", + "aqTIB_q40bo/42.jpg", + "aqTIB_q40bo/43.jpg", + "aqTIB_q40bo/44.jpg", + "aqTIB_q40bo/45.jpg", + "aqTIB_q40bo/46.jpg", + "aqTIB_q40bo/47.jpg", + "aqTIB_q40bo/48.jpg", + "aqTIB_q40bo/49.jpg", + "aqTIB_q40bo/50.jpg", + "aqTIB_q40bo/51.jpg", + "aqTIB_q40bo/52.jpg", + "aqTIB_q40bo/53.jpg", + "aqTIB_q40bo/54.jpg", + "aqTIB_q40bo/55.jpg", + "aqTIB_q40bo/56.jpg", + "aqTIB_q40bo/57.jpg", + "aqTIB_q40bo/58.jpg", + "aqTIB_q40bo/59.jpg", + "aqTIB_q40bo/60.jpg", + "aqTIB_q40bo/61.jpg", + "aqTIB_q40bo/62.jpg", + "aqTIB_q40bo/63.jpg" + ], + "prompt": "At the end of the video, how many books can be seen resting on the living room table?\nA. 2.\nB. 4.\nC. 1.\nD. 3." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0098", + "input": { + "video_file_list": [ + "KOwR0Ln46Ks/0.jpg", + "KOwR0Ln46Ks/1.jpg", + "KOwR0Ln46Ks/2.jpg", + "KOwR0Ln46Ks/3.jpg", + "KOwR0Ln46Ks/4.jpg", + "KOwR0Ln46Ks/5.jpg", + "KOwR0Ln46Ks/6.jpg", + "KOwR0Ln46Ks/7.jpg", + "KOwR0Ln46Ks/8.jpg", + "KOwR0Ln46Ks/9.jpg", + "KOwR0Ln46Ks/10.jpg", + "KOwR0Ln46Ks/11.jpg", + "KOwR0Ln46Ks/12.jpg", + "KOwR0Ln46Ks/13.jpg", + "KOwR0Ln46Ks/14.jpg", + "KOwR0Ln46Ks/15.jpg", + "KOwR0Ln46Ks/16.jpg", + "KOwR0Ln46Ks/17.jpg", + "KOwR0Ln46Ks/18.jpg", + "KOwR0Ln46Ks/19.jpg", + "KOwR0Ln46Ks/20.jpg", + "KOwR0Ln46Ks/21.jpg", + "KOwR0Ln46Ks/22.jpg", + "KOwR0Ln46Ks/23.jpg", + "KOwR0Ln46Ks/24.jpg", + "KOwR0Ln46Ks/25.jpg", + "KOwR0Ln46Ks/26.jpg", + "KOwR0Ln46Ks/27.jpg", + "KOwR0Ln46Ks/28.jpg", + "KOwR0Ln46Ks/29.jpg", + "KOwR0Ln46Ks/30.jpg", + "KOwR0Ln46Ks/31.jpg", + "KOwR0Ln46Ks/32.jpg", + "KOwR0Ln46Ks/33.jpg", + "KOwR0Ln46Ks/34.jpg", + "KOwR0Ln46Ks/35.jpg", + "KOwR0Ln46Ks/36.jpg", + "KOwR0Ln46Ks/37.jpg", + "KOwR0Ln46Ks/38.jpg", + "KOwR0Ln46Ks/39.jpg", + "KOwR0Ln46Ks/40.jpg", + "KOwR0Ln46Ks/41.jpg", + "KOwR0Ln46Ks/42.jpg", + "KOwR0Ln46Ks/43.jpg", + "KOwR0Ln46Ks/44.jpg", + "KOwR0Ln46Ks/45.jpg", + "KOwR0Ln46Ks/46.jpg", + "KOwR0Ln46Ks/47.jpg", + "KOwR0Ln46Ks/48.jpg", + "KOwR0Ln46Ks/49.jpg", + "KOwR0Ln46Ks/50.jpg", + "KOwR0Ln46Ks/51.jpg", + "KOwR0Ln46Ks/52.jpg", + "KOwR0Ln46Ks/53.jpg", + "KOwR0Ln46Ks/54.jpg", + "KOwR0Ln46Ks/55.jpg", + "KOwR0Ln46Ks/56.jpg", + "KOwR0Ln46Ks/57.jpg", + "KOwR0Ln46Ks/58.jpg", + "KOwR0Ln46Ks/59.jpg", + "KOwR0Ln46Ks/60.jpg", + "KOwR0Ln46Ks/61.jpg", + "KOwR0Ln46Ks/62.jpg", + "KOwR0Ln46Ks/63.jpg" + ], + "prompt": "According to the video, what is the brown item pinned on the speaker's waist?\nA. Bag of photos.\nB. Bag of make-ups.\nC. Bag of money.\nD. Bag of treats." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0109", + "input": { + "video_file_list": [ + "ZGGDKC3GlrI/0.jpg", + "ZGGDKC3GlrI/1.jpg", + "ZGGDKC3GlrI/2.jpg", + "ZGGDKC3GlrI/3.jpg", + "ZGGDKC3GlrI/4.jpg", + "ZGGDKC3GlrI/5.jpg", + "ZGGDKC3GlrI/6.jpg", + "ZGGDKC3GlrI/7.jpg", + "ZGGDKC3GlrI/8.jpg", + "ZGGDKC3GlrI/9.jpg", + "ZGGDKC3GlrI/10.jpg", + "ZGGDKC3GlrI/11.jpg", + "ZGGDKC3GlrI/12.jpg", + "ZGGDKC3GlrI/13.jpg", + "ZGGDKC3GlrI/14.jpg", + "ZGGDKC3GlrI/15.jpg", + "ZGGDKC3GlrI/16.jpg", + "ZGGDKC3GlrI/17.jpg", + "ZGGDKC3GlrI/18.jpg", + "ZGGDKC3GlrI/19.jpg", + "ZGGDKC3GlrI/20.jpg", + "ZGGDKC3GlrI/21.jpg", + "ZGGDKC3GlrI/22.jpg", + "ZGGDKC3GlrI/23.jpg", + "ZGGDKC3GlrI/24.jpg", + "ZGGDKC3GlrI/25.jpg", + "ZGGDKC3GlrI/26.jpg", + "ZGGDKC3GlrI/27.jpg", + "ZGGDKC3GlrI/28.jpg", + "ZGGDKC3GlrI/29.jpg", + "ZGGDKC3GlrI/30.jpg", + "ZGGDKC3GlrI/31.jpg", + "ZGGDKC3GlrI/32.jpg", + "ZGGDKC3GlrI/33.jpg", + "ZGGDKC3GlrI/34.jpg", + "ZGGDKC3GlrI/35.jpg", + "ZGGDKC3GlrI/36.jpg", + "ZGGDKC3GlrI/37.jpg", + "ZGGDKC3GlrI/38.jpg", + "ZGGDKC3GlrI/39.jpg", + "ZGGDKC3GlrI/40.jpg", + "ZGGDKC3GlrI/41.jpg", + "ZGGDKC3GlrI/42.jpg", + "ZGGDKC3GlrI/43.jpg", + "ZGGDKC3GlrI/44.jpg", + "ZGGDKC3GlrI/45.jpg", + "ZGGDKC3GlrI/46.jpg", + "ZGGDKC3GlrI/47.jpg", + "ZGGDKC3GlrI/48.jpg", + "ZGGDKC3GlrI/49.jpg", + "ZGGDKC3GlrI/50.jpg", + "ZGGDKC3GlrI/51.jpg", + "ZGGDKC3GlrI/52.jpg", + "ZGGDKC3GlrI/53.jpg", + "ZGGDKC3GlrI/54.jpg", + "ZGGDKC3GlrI/55.jpg", + "ZGGDKC3GlrI/56.jpg", + "ZGGDKC3GlrI/57.jpg", + "ZGGDKC3GlrI/58.jpg", + "ZGGDKC3GlrI/59.jpg", + "ZGGDKC3GlrI/60.jpg", + "ZGGDKC3GlrI/61.jpg", + "ZGGDKC3GlrI/62.jpg", + "ZGGDKC3GlrI/63.jpg" + ], + "prompt": "What is the third future topic in medicine mentioned in the video?\nA. Regenerative medicine.\nB. Nanotechnology.\nC. Gene editing.\nD. Bioengineering." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0037", + "input": { + "video_file_list": [ + "mAwgdX5VxGc/0.jpg", + "mAwgdX5VxGc/1.jpg", + "mAwgdX5VxGc/2.jpg", + "mAwgdX5VxGc/3.jpg", + "mAwgdX5VxGc/4.jpg", + "mAwgdX5VxGc/5.jpg", + "mAwgdX5VxGc/6.jpg", + "mAwgdX5VxGc/7.jpg", + "mAwgdX5VxGc/8.jpg", + "mAwgdX5VxGc/9.jpg", + "mAwgdX5VxGc/10.jpg", + "mAwgdX5VxGc/11.jpg", + "mAwgdX5VxGc/12.jpg", + "mAwgdX5VxGc/13.jpg", + "mAwgdX5VxGc/14.jpg", + "mAwgdX5VxGc/15.jpg", + "mAwgdX5VxGc/16.jpg", + "mAwgdX5VxGc/17.jpg", + "mAwgdX5VxGc/18.jpg", + "mAwgdX5VxGc/19.jpg", + "mAwgdX5VxGc/20.jpg", + "mAwgdX5VxGc/21.jpg", + "mAwgdX5VxGc/22.jpg", + "mAwgdX5VxGc/23.jpg", + "mAwgdX5VxGc/24.jpg", + "mAwgdX5VxGc/25.jpg", + "mAwgdX5VxGc/26.jpg", + "mAwgdX5VxGc/27.jpg", + "mAwgdX5VxGc/28.jpg", + "mAwgdX5VxGc/29.jpg", + "mAwgdX5VxGc/30.jpg", + "mAwgdX5VxGc/31.jpg", + "mAwgdX5VxGc/32.jpg", + "mAwgdX5VxGc/33.jpg", + "mAwgdX5VxGc/34.jpg", + "mAwgdX5VxGc/35.jpg", + "mAwgdX5VxGc/36.jpg", + "mAwgdX5VxGc/37.jpg", + "mAwgdX5VxGc/38.jpg", + "mAwgdX5VxGc/39.jpg", + "mAwgdX5VxGc/40.jpg", + "mAwgdX5VxGc/41.jpg", + "mAwgdX5VxGc/42.jpg", + "mAwgdX5VxGc/43.jpg", + "mAwgdX5VxGc/44.jpg", + "mAwgdX5VxGc/45.jpg", + "mAwgdX5VxGc/46.jpg", + "mAwgdX5VxGc/47.jpg", + "mAwgdX5VxGc/48.jpg", + "mAwgdX5VxGc/49.jpg", + "mAwgdX5VxGc/50.jpg", + "mAwgdX5VxGc/51.jpg", + "mAwgdX5VxGc/52.jpg", + "mAwgdX5VxGc/53.jpg", + "mAwgdX5VxGc/54.jpg", + "mAwgdX5VxGc/55.jpg", + "mAwgdX5VxGc/56.jpg", + "mAwgdX5VxGc/57.jpg", + "mAwgdX5VxGc/58.jpg", + "mAwgdX5VxGc/59.jpg", + "mAwgdX5VxGc/60.jpg", + "mAwgdX5VxGc/61.jpg", + "mAwgdX5VxGc/62.jpg", + "mAwgdX5VxGc/63.jpg" + ], + "prompt": "What is the order in which the following is introduced in the video?\n\u2460 Insulin Resistance Explained.\n\u2461 Case studies.\n\u2462 How to Reverse Type 2 Diabetes.\nA. \u2460\u2461\u2462.\nB. \u2460\u2462\u2461.\nC. \u2462\u2460\u2461.\nD. \u2460\u2462\u2461." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0131", + "input": { + "video_file_list": [ + "tX8a00l_Dfs/0.jpg", + "tX8a00l_Dfs/1.jpg", + "tX8a00l_Dfs/2.jpg", + "tX8a00l_Dfs/3.jpg", + "tX8a00l_Dfs/4.jpg", + "tX8a00l_Dfs/5.jpg", + "tX8a00l_Dfs/6.jpg", + "tX8a00l_Dfs/7.jpg", + "tX8a00l_Dfs/8.jpg", + "tX8a00l_Dfs/9.jpg", + "tX8a00l_Dfs/10.jpg", + "tX8a00l_Dfs/11.jpg", + "tX8a00l_Dfs/12.jpg", + "tX8a00l_Dfs/13.jpg", + "tX8a00l_Dfs/14.jpg", + "tX8a00l_Dfs/15.jpg", + "tX8a00l_Dfs/16.jpg", + "tX8a00l_Dfs/17.jpg", + "tX8a00l_Dfs/18.jpg", + "tX8a00l_Dfs/19.jpg", + "tX8a00l_Dfs/20.jpg", + "tX8a00l_Dfs/21.jpg", + "tX8a00l_Dfs/22.jpg", + "tX8a00l_Dfs/23.jpg", + "tX8a00l_Dfs/24.jpg", + "tX8a00l_Dfs/25.jpg", + "tX8a00l_Dfs/26.jpg", + "tX8a00l_Dfs/27.jpg", + "tX8a00l_Dfs/28.jpg", + "tX8a00l_Dfs/29.jpg", + "tX8a00l_Dfs/30.jpg", + "tX8a00l_Dfs/31.jpg", + "tX8a00l_Dfs/32.jpg", + "tX8a00l_Dfs/33.jpg", + "tX8a00l_Dfs/34.jpg", + "tX8a00l_Dfs/35.jpg", + "tX8a00l_Dfs/36.jpg", + "tX8a00l_Dfs/37.jpg", + "tX8a00l_Dfs/38.jpg", + "tX8a00l_Dfs/39.jpg", + "tX8a00l_Dfs/40.jpg", + "tX8a00l_Dfs/41.jpg", + "tX8a00l_Dfs/42.jpg", + "tX8a00l_Dfs/43.jpg", + "tX8a00l_Dfs/44.jpg", + "tX8a00l_Dfs/45.jpg", + "tX8a00l_Dfs/46.jpg", + "tX8a00l_Dfs/47.jpg", + "tX8a00l_Dfs/48.jpg", + "tX8a00l_Dfs/49.jpg", + "tX8a00l_Dfs/50.jpg", + "tX8a00l_Dfs/51.jpg", + "tX8a00l_Dfs/52.jpg", + "tX8a00l_Dfs/53.jpg", + "tX8a00l_Dfs/54.jpg", + "tX8a00l_Dfs/55.jpg", + "tX8a00l_Dfs/56.jpg", + "tX8a00l_Dfs/57.jpg", + "tX8a00l_Dfs/58.jpg", + "tX8a00l_Dfs/59.jpg", + "tX8a00l_Dfs/60.jpg", + "tX8a00l_Dfs/61.jpg", + "tX8a00l_Dfs/62.jpg", + "tX8a00l_Dfs/63.jpg" + ], + "prompt": "How many kinds of chords are played in the video?\nA. Eight.\nB. Seven.\nC. Fourteen.\nD. Six." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0171", + "input": { + "video_file_list": [ + "Gh_GtYtQoVI/0.jpg", + "Gh_GtYtQoVI/1.jpg", + "Gh_GtYtQoVI/2.jpg", + "Gh_GtYtQoVI/3.jpg", + "Gh_GtYtQoVI/4.jpg", + "Gh_GtYtQoVI/5.jpg", + "Gh_GtYtQoVI/6.jpg", + "Gh_GtYtQoVI/7.jpg", + "Gh_GtYtQoVI/8.jpg", + "Gh_GtYtQoVI/9.jpg", + "Gh_GtYtQoVI/10.jpg", + "Gh_GtYtQoVI/11.jpg", + "Gh_GtYtQoVI/12.jpg", + "Gh_GtYtQoVI/13.jpg", + "Gh_GtYtQoVI/14.jpg", + "Gh_GtYtQoVI/15.jpg", + "Gh_GtYtQoVI/16.jpg", + "Gh_GtYtQoVI/17.jpg", + "Gh_GtYtQoVI/18.jpg", + "Gh_GtYtQoVI/19.jpg", + "Gh_GtYtQoVI/20.jpg", + "Gh_GtYtQoVI/21.jpg", + "Gh_GtYtQoVI/22.jpg", + "Gh_GtYtQoVI/23.jpg", + "Gh_GtYtQoVI/24.jpg", + "Gh_GtYtQoVI/25.jpg", + "Gh_GtYtQoVI/26.jpg", + "Gh_GtYtQoVI/27.jpg", + "Gh_GtYtQoVI/28.jpg", + "Gh_GtYtQoVI/29.jpg", + "Gh_GtYtQoVI/30.jpg", + "Gh_GtYtQoVI/31.jpg", + "Gh_GtYtQoVI/32.jpg", + "Gh_GtYtQoVI/33.jpg", + "Gh_GtYtQoVI/34.jpg", + "Gh_GtYtQoVI/35.jpg", + "Gh_GtYtQoVI/36.jpg", + "Gh_GtYtQoVI/37.jpg", + "Gh_GtYtQoVI/38.jpg", + "Gh_GtYtQoVI/39.jpg", + "Gh_GtYtQoVI/40.jpg", + "Gh_GtYtQoVI/41.jpg", + "Gh_GtYtQoVI/42.jpg", + "Gh_GtYtQoVI/43.jpg", + "Gh_GtYtQoVI/44.jpg", + "Gh_GtYtQoVI/45.jpg", + "Gh_GtYtQoVI/46.jpg", + "Gh_GtYtQoVI/47.jpg", + "Gh_GtYtQoVI/48.jpg", + "Gh_GtYtQoVI/49.jpg", + "Gh_GtYtQoVI/50.jpg", + "Gh_GtYtQoVI/51.jpg", + "Gh_GtYtQoVI/52.jpg", + "Gh_GtYtQoVI/53.jpg", + "Gh_GtYtQoVI/54.jpg", + "Gh_GtYtQoVI/55.jpg", + "Gh_GtYtQoVI/56.jpg", + "Gh_GtYtQoVI/57.jpg", + "Gh_GtYtQoVI/58.jpg", + "Gh_GtYtQoVI/59.jpg", + "Gh_GtYtQoVI/60.jpg", + "Gh_GtYtQoVI/61.jpg", + "Gh_GtYtQoVI/62.jpg", + "Gh_GtYtQoVI/63.jpg" + ], + "prompt": "In what direction does the video author draw the various financial institutions?\nA. From left to right.\nB. From right to left.\nC. From bottom to top.\nD. From top to bottom." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0158", + "input": { + "video_file_list": [ + "zBnKgwnn7i4/0.jpg", + "zBnKgwnn7i4/1.jpg", + "zBnKgwnn7i4/2.jpg", + "zBnKgwnn7i4/3.jpg", + "zBnKgwnn7i4/4.jpg", + "zBnKgwnn7i4/5.jpg", + "zBnKgwnn7i4/6.jpg", + "zBnKgwnn7i4/7.jpg", + "zBnKgwnn7i4/8.jpg", + "zBnKgwnn7i4/9.jpg", + "zBnKgwnn7i4/10.jpg", + "zBnKgwnn7i4/11.jpg", + "zBnKgwnn7i4/12.jpg", + "zBnKgwnn7i4/13.jpg", + "zBnKgwnn7i4/14.jpg", + "zBnKgwnn7i4/15.jpg", + "zBnKgwnn7i4/16.jpg", + "zBnKgwnn7i4/17.jpg", + "zBnKgwnn7i4/18.jpg", + "zBnKgwnn7i4/19.jpg", + "zBnKgwnn7i4/20.jpg", + "zBnKgwnn7i4/21.jpg", + "zBnKgwnn7i4/22.jpg", + "zBnKgwnn7i4/23.jpg", + "zBnKgwnn7i4/24.jpg", + "zBnKgwnn7i4/25.jpg", + "zBnKgwnn7i4/26.jpg", + "zBnKgwnn7i4/27.jpg", + "zBnKgwnn7i4/28.jpg", + "zBnKgwnn7i4/29.jpg", + "zBnKgwnn7i4/30.jpg", + "zBnKgwnn7i4/31.jpg", + "zBnKgwnn7i4/32.jpg", + "zBnKgwnn7i4/33.jpg", + "zBnKgwnn7i4/34.jpg", + "zBnKgwnn7i4/35.jpg", + "zBnKgwnn7i4/36.jpg", + "zBnKgwnn7i4/37.jpg", + "zBnKgwnn7i4/38.jpg", + "zBnKgwnn7i4/39.jpg", + "zBnKgwnn7i4/40.jpg", + "zBnKgwnn7i4/41.jpg", + "zBnKgwnn7i4/42.jpg", + "zBnKgwnn7i4/43.jpg", + "zBnKgwnn7i4/44.jpg", + "zBnKgwnn7i4/45.jpg", + "zBnKgwnn7i4/46.jpg", + "zBnKgwnn7i4/47.jpg", + "zBnKgwnn7i4/48.jpg", + "zBnKgwnn7i4/49.jpg", + "zBnKgwnn7i4/50.jpg", + "zBnKgwnn7i4/51.jpg", + "zBnKgwnn7i4/52.jpg", + "zBnKgwnn7i4/53.jpg", + "zBnKgwnn7i4/54.jpg", + "zBnKgwnn7i4/55.jpg", + "zBnKgwnn7i4/56.jpg", + "zBnKgwnn7i4/57.jpg", + "zBnKgwnn7i4/58.jpg", + "zBnKgwnn7i4/59.jpg", + "zBnKgwnn7i4/60.jpg", + "zBnKgwnn7i4/61.jpg", + "zBnKgwnn7i4/62.jpg", + "zBnKgwnn7i4/63.jpg" + ], + "prompt": "According to the video, what do the three curved lines extending from bottom up symbolize?\nA. Heat flow.\nB. Stream.\nC. Vapor.\nD. Air." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0015", + "input": { + "video_file_list": [ + "B6tQyCH5hQM/0.jpg", + "B6tQyCH5hQM/1.jpg", + "B6tQyCH5hQM/2.jpg", + "B6tQyCH5hQM/3.jpg", + "B6tQyCH5hQM/4.jpg", + "B6tQyCH5hQM/5.jpg", + "B6tQyCH5hQM/6.jpg", + "B6tQyCH5hQM/7.jpg", + "B6tQyCH5hQM/8.jpg", + "B6tQyCH5hQM/9.jpg", + "B6tQyCH5hQM/10.jpg", + "B6tQyCH5hQM/11.jpg", + "B6tQyCH5hQM/12.jpg", + "B6tQyCH5hQM/13.jpg", + "B6tQyCH5hQM/14.jpg", + "B6tQyCH5hQM/15.jpg", + "B6tQyCH5hQM/16.jpg", + "B6tQyCH5hQM/17.jpg", + "B6tQyCH5hQM/18.jpg", + "B6tQyCH5hQM/19.jpg", + "B6tQyCH5hQM/20.jpg", + "B6tQyCH5hQM/21.jpg", + "B6tQyCH5hQM/22.jpg", + "B6tQyCH5hQM/23.jpg", + "B6tQyCH5hQM/24.jpg", + "B6tQyCH5hQM/25.jpg", + "B6tQyCH5hQM/26.jpg", + "B6tQyCH5hQM/27.jpg", + "B6tQyCH5hQM/28.jpg", + "B6tQyCH5hQM/29.jpg", + "B6tQyCH5hQM/30.jpg", + "B6tQyCH5hQM/31.jpg", + "B6tQyCH5hQM/32.jpg", + "B6tQyCH5hQM/33.jpg", + "B6tQyCH5hQM/34.jpg", + "B6tQyCH5hQM/35.jpg", + "B6tQyCH5hQM/36.jpg", + "B6tQyCH5hQM/37.jpg", + "B6tQyCH5hQM/38.jpg", + "B6tQyCH5hQM/39.jpg", + "B6tQyCH5hQM/40.jpg", + "B6tQyCH5hQM/41.jpg", + "B6tQyCH5hQM/42.jpg", + "B6tQyCH5hQM/43.jpg", + "B6tQyCH5hQM/44.jpg", + "B6tQyCH5hQM/45.jpg", + "B6tQyCH5hQM/46.jpg", + "B6tQyCH5hQM/47.jpg", + "B6tQyCH5hQM/48.jpg", + "B6tQyCH5hQM/49.jpg", + "B6tQyCH5hQM/50.jpg", + "B6tQyCH5hQM/51.jpg", + "B6tQyCH5hQM/52.jpg", + "B6tQyCH5hQM/53.jpg", + "B6tQyCH5hQM/54.jpg", + "B6tQyCH5hQM/55.jpg", + "B6tQyCH5hQM/56.jpg", + "B6tQyCH5hQM/57.jpg", + "B6tQyCH5hQM/58.jpg", + "B6tQyCH5hQM/59.jpg", + "B6tQyCH5hQM/60.jpg", + "B6tQyCH5hQM/61.jpg", + "B6tQyCH5hQM/62.jpg", + "B6tQyCH5hQM/63.jpg" + ], + "prompt": "According to what is shown in the video, what did the blogger do to these ceramic products after they were put into the furnace and burned?\nA. She painted on them.\nB. She dyed them three colors.\nC. She shaped the clay.\nD. She added some decorations to them." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0036", + "input": { + "video_file_list": [ + "mAwgdX5VxGc/0.jpg", + "mAwgdX5VxGc/1.jpg", + "mAwgdX5VxGc/2.jpg", + "mAwgdX5VxGc/3.jpg", + "mAwgdX5VxGc/4.jpg", + "mAwgdX5VxGc/5.jpg", + "mAwgdX5VxGc/6.jpg", + "mAwgdX5VxGc/7.jpg", + "mAwgdX5VxGc/8.jpg", + "mAwgdX5VxGc/9.jpg", + "mAwgdX5VxGc/10.jpg", + "mAwgdX5VxGc/11.jpg", + "mAwgdX5VxGc/12.jpg", + "mAwgdX5VxGc/13.jpg", + "mAwgdX5VxGc/14.jpg", + "mAwgdX5VxGc/15.jpg", + "mAwgdX5VxGc/16.jpg", + "mAwgdX5VxGc/17.jpg", + "mAwgdX5VxGc/18.jpg", + "mAwgdX5VxGc/19.jpg", + "mAwgdX5VxGc/20.jpg", + "mAwgdX5VxGc/21.jpg", + "mAwgdX5VxGc/22.jpg", + "mAwgdX5VxGc/23.jpg", + "mAwgdX5VxGc/24.jpg", + "mAwgdX5VxGc/25.jpg", + "mAwgdX5VxGc/26.jpg", + "mAwgdX5VxGc/27.jpg", + "mAwgdX5VxGc/28.jpg", + "mAwgdX5VxGc/29.jpg", + "mAwgdX5VxGc/30.jpg", + "mAwgdX5VxGc/31.jpg", + "mAwgdX5VxGc/32.jpg", + "mAwgdX5VxGc/33.jpg", + "mAwgdX5VxGc/34.jpg", + "mAwgdX5VxGc/35.jpg", + "mAwgdX5VxGc/36.jpg", + "mAwgdX5VxGc/37.jpg", + "mAwgdX5VxGc/38.jpg", + "mAwgdX5VxGc/39.jpg", + "mAwgdX5VxGc/40.jpg", + "mAwgdX5VxGc/41.jpg", + "mAwgdX5VxGc/42.jpg", + "mAwgdX5VxGc/43.jpg", + "mAwgdX5VxGc/44.jpg", + "mAwgdX5VxGc/45.jpg", + "mAwgdX5VxGc/46.jpg", + "mAwgdX5VxGc/47.jpg", + "mAwgdX5VxGc/48.jpg", + "mAwgdX5VxGc/49.jpg", + "mAwgdX5VxGc/50.jpg", + "mAwgdX5VxGc/51.jpg", + "mAwgdX5VxGc/52.jpg", + "mAwgdX5VxGc/53.jpg", + "mAwgdX5VxGc/54.jpg", + "mAwgdX5VxGc/55.jpg", + "mAwgdX5VxGc/56.jpg", + "mAwgdX5VxGc/57.jpg", + "mAwgdX5VxGc/58.jpg", + "mAwgdX5VxGc/59.jpg", + "mAwgdX5VxGc/60.jpg", + "mAwgdX5VxGc/61.jpg", + "mAwgdX5VxGc/62.jpg", + "mAwgdX5VxGc/63.jpg" + ], + "prompt": "What treatment is universally implemented in all the case studies featured in the video?\nA. Use medication therapy.\nB. Undergo surgical treatment.\nC. Take dietary management.\nD. Implement physical therapy." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_educationvideoquestionanswering_0052", + "input": { + "video_file_list": [ + "VsuShNWghXk/0.jpg", + "VsuShNWghXk/1.jpg", + "VsuShNWghXk/2.jpg", + "VsuShNWghXk/3.jpg", + "VsuShNWghXk/4.jpg", + "VsuShNWghXk/5.jpg", + "VsuShNWghXk/6.jpg", + "VsuShNWghXk/7.jpg", + "VsuShNWghXk/8.jpg", + "VsuShNWghXk/9.jpg", + "VsuShNWghXk/10.jpg", + "VsuShNWghXk/11.jpg", + "VsuShNWghXk/12.jpg", + "VsuShNWghXk/13.jpg", + "VsuShNWghXk/14.jpg", + "VsuShNWghXk/15.jpg", + "VsuShNWghXk/16.jpg", + "VsuShNWghXk/17.jpg", + "VsuShNWghXk/18.jpg", + "VsuShNWghXk/19.jpg", + "VsuShNWghXk/20.jpg", + "VsuShNWghXk/21.jpg", + "VsuShNWghXk/22.jpg", + "VsuShNWghXk/23.jpg", + "VsuShNWghXk/24.jpg", + "VsuShNWghXk/25.jpg", + "VsuShNWghXk/26.jpg", + "VsuShNWghXk/27.jpg", + "VsuShNWghXk/28.jpg", + "VsuShNWghXk/29.jpg", + "VsuShNWghXk/30.jpg", + "VsuShNWghXk/31.jpg", + "VsuShNWghXk/32.jpg", + "VsuShNWghXk/33.jpg", + "VsuShNWghXk/34.jpg", + "VsuShNWghXk/35.jpg", + "VsuShNWghXk/36.jpg", + "VsuShNWghXk/37.jpg", + "VsuShNWghXk/38.jpg", + "VsuShNWghXk/39.jpg", + "VsuShNWghXk/40.jpg", + "VsuShNWghXk/41.jpg", + "VsuShNWghXk/42.jpg", + "VsuShNWghXk/43.jpg", + "VsuShNWghXk/44.jpg", + "VsuShNWghXk/45.jpg", + "VsuShNWghXk/46.jpg", + "VsuShNWghXk/47.jpg", + "VsuShNWghXk/48.jpg", + "VsuShNWghXk/49.jpg", + "VsuShNWghXk/50.jpg", + "VsuShNWghXk/51.jpg", + "VsuShNWghXk/52.jpg", + "VsuShNWghXk/53.jpg", + "VsuShNWghXk/54.jpg", + "VsuShNWghXk/55.jpg", + "VsuShNWghXk/56.jpg", + "VsuShNWghXk/57.jpg", + "VsuShNWghXk/58.jpg", + "VsuShNWghXk/59.jpg", + "VsuShNWghXk/60.jpg", + "VsuShNWghXk/61.jpg", + "VsuShNWghXk/62.jpg", + "VsuShNWghXk/63.jpg" + ], + "prompt": "According to the video, what is the right pose demonstrated in the animation when sitting on the bike before starting to ride?\nA. Sitting backwards on the bike with both feet on the handlebars, ready to push off and start riding.\nB. Sitting sideways on the bike with the left foot on the ground and the right foot resting on the pedal.\nC. Sitting on the bike with both feet on the ground, not engaging with the pedals.\nD. Sitting on the bike seat with the right foot on the ground and the left foot resting on the pedal." + }, + "output": { + "text": "D" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/EntertainmentRelatedVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/EntertainmentRelatedVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ebbedfb4446eb4230d2b8147fd618fb240ac9f60 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/EntertainmentRelatedVideoCaptioning/annotation.json @@ -0,0 +1,420 @@ +{ + "task": "EntertainmentRelatedVideoCaptioning", + "data_source": "k600", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0178", + "input": { + "video_file_list": [ + "BJnI4yVXSUA_000034_000044/frame_00000.jpg", + "BJnI4yVXSUA_000034_000044/frame_00005.jpg", + "BJnI4yVXSUA_000034_000044/frame_00010.jpg", + "BJnI4yVXSUA_000034_000044/frame_00015.jpg", + "BJnI4yVXSUA_000034_000044/frame_00020.jpg", + "BJnI4yVXSUA_000034_000044/frame_00025.jpg", + "BJnI4yVXSUA_000034_000044/frame_00030.jpg", + "BJnI4yVXSUA_000034_000044/frame_00035.jpg", + "BJnI4yVXSUA_000034_000044/frame_00040.jpg", + "BJnI4yVXSUA_000034_000044/frame_00045.jpg", + "BJnI4yVXSUA_000034_000044/frame_00050.jpg", + "BJnI4yVXSUA_000034_000044/frame_00055.jpg", + "BJnI4yVXSUA_000034_000044/frame_00060.jpg", + "BJnI4yVXSUA_000034_000044/frame_00065.jpg", + "BJnI4yVXSUA_000034_000044/frame_00070.jpg", + "BJnI4yVXSUA_000034_000044/frame_00075.jpg", + "BJnI4yVXSUA_000034_000044/frame_00080.jpg", + "BJnI4yVXSUA_000034_000044/frame_00085.jpg", + "BJnI4yVXSUA_000034_000044/frame_00090.jpg", + "BJnI4yVXSUA_000034_000044/frame_00095.jpg", + "BJnI4yVXSUA_000034_000044/frame_00100.jpg", + "BJnI4yVXSUA_000034_000044/frame_00105.jpg", + "BJnI4yVXSUA_000034_000044/frame_00110.jpg", + "BJnI4yVXSUA_000034_000044/frame_00115.jpg", + "BJnI4yVXSUA_000034_000044/frame_00120.jpg", + "BJnI4yVXSUA_000034_000044/frame_00125.jpg", + "BJnI4yVXSUA_000034_000044/frame_00130.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Breathing fire, the man stands on stage, spitting flames high into the air and illuminating the area. The audience cheers and applauds." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0814", + "input": { + "video_file_list": [ + "k26hhZuBc6I_000095_000105/frame_00000.jpg", + "k26hhZuBc6I_000095_000105/frame_00010.jpg", + "k26hhZuBc6I_000095_000105/frame_00020.jpg", + "k26hhZuBc6I_000095_000105/frame_00030.jpg", + "k26hhZuBc6I_000095_000105/frame_00040.jpg", + "k26hhZuBc6I_000095_000105/frame_00050.jpg", + "k26hhZuBc6I_000095_000105/frame_00060.jpg", + "k26hhZuBc6I_000095_000105/frame_00070.jpg", + "k26hhZuBc6I_000095_000105/frame_00080.jpg", + "k26hhZuBc6I_000095_000105/frame_00090.jpg", + "k26hhZuBc6I_000095_000105/frame_00100.jpg", + "k26hhZuBc6I_000095_000105/frame_00110.jpg", + "k26hhZuBc6I_000095_000105/frame_00120.jpg", + "k26hhZuBc6I_000095_000105/frame_00130.jpg", + "k26hhZuBc6I_000095_000105/frame_00140.jpg", + "k26hhZuBc6I_000095_000105/frame_00150.jpg", + "k26hhZuBc6I_000095_000105/frame_00160.jpg", + "k26hhZuBc6I_000095_000105/frame_00170.jpg", + "k26hhZuBc6I_000095_000105/frame_00180.jpg", + "k26hhZuBc6I_000095_000105/frame_00190.jpg", + "k26hhZuBc6I_000095_000105/frame_00200.jpg", + "k26hhZuBc6I_000095_000105/frame_00210.jpg", + "k26hhZuBc6I_000095_000105/frame_00220.jpg", + "k26hhZuBc6I_000095_000105/frame_00230.jpg", + "k26hhZuBc6I_000095_000105/frame_00240.jpg", + "k26hhZuBc6I_000095_000105/frame_00250.jpg", + "k26hhZuBc6I_000095_000105/frame_00260.jpg", + "k26hhZuBc6I_000095_000105/frame_00270.jpg", + "k26hhZuBc6I_000095_000105/frame_00280.jpg", + "k26hhZuBc6I_000095_000105/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "A young boy is playing the trombone in his bedroom." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0776", + "input": { + "video_file_list": [ + "Qv3Ejz6Dz6o_000000_000010/frame_00000.jpg", + "Qv3Ejz6Dz6o_000000_000010/frame_00009.jpg", + "Qv3Ejz6Dz6o_000000_000010/frame_00018.jpg", + 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"DfkctvLWaRY_000080_000090/frame_00288.jpg", + "DfkctvLWaRY_000080_000090/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing gongs: A man strikes them with mallets, producing audible sounds." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0922", + "input": { + "video_file_list": [ + "_wziTEcV6VU_000251_000261/frame_00000.jpg", + "_wziTEcV6VU_000251_000261/frame_00010.jpg", + "_wziTEcV6VU_000251_000261/frame_00020.jpg", + "_wziTEcV6VU_000251_000261/frame_00030.jpg", + "_wziTEcV6VU_000251_000261/frame_00040.jpg", + "_wziTEcV6VU_000251_000261/frame_00050.jpg", + "_wziTEcV6VU_000251_000261/frame_00060.jpg", + "_wziTEcV6VU_000251_000261/frame_00070.jpg", + "_wziTEcV6VU_000251_000261/frame_00080.jpg", + "_wziTEcV6VU_000251_000261/frame_00090.jpg", + "_wziTEcV6VU_000251_000261/frame_00100.jpg", + "_wziTEcV6VU_000251_000261/frame_00110.jpg", + "_wziTEcV6VU_000251_000261/frame_00120.jpg", + 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"vc_closeset_entertainmentrelatedvideocaptioning_0281", + "input": { + "video_file_list": [ + "30pYCRVWvO4_000012_000022/frame_00000.jpg", + "30pYCRVWvO4_000012_000022/frame_00010.jpg", + "30pYCRVWvO4_000012_000022/frame_00020.jpg", + "30pYCRVWvO4_000012_000022/frame_00030.jpg", + "30pYCRVWvO4_000012_000022/frame_00040.jpg", + "30pYCRVWvO4_000012_000022/frame_00050.jpg", + "30pYCRVWvO4_000012_000022/frame_00060.jpg", + "30pYCRVWvO4_000012_000022/frame_00070.jpg", + "30pYCRVWvO4_000012_000022/frame_00080.jpg", + "30pYCRVWvO4_000012_000022/frame_00090.jpg", + "30pYCRVWvO4_000012_000022/frame_00100.jpg", + "30pYCRVWvO4_000012_000022/frame_00110.jpg", + "30pYCRVWvO4_000012_000022/frame_00120.jpg", + "30pYCRVWvO4_000012_000022/frame_00130.jpg", + "30pYCRVWvO4_000012_000022/frame_00140.jpg", + "30pYCRVWvO4_000012_000022/frame_00150.jpg", + "30pYCRVWvO4_000012_000022/frame_00160.jpg", + "30pYCRVWvO4_000012_000022/frame_00170.jpg", + "30pYCRVWvO4_000012_000022/frame_00180.jpg", + "30pYCRVWvO4_000012_000022/frame_00190.jpg", + "30pYCRVWvO4_000012_000022/frame_00200.jpg", + "30pYCRVWvO4_000012_000022/frame_00210.jpg", + "30pYCRVWvO4_000012_000022/frame_00220.jpg", + "30pYCRVWvO4_000012_000022/frame_00230.jpg", + "30pYCRVWvO4_000012_000022/frame_00240.jpg", + "30pYCRVWvO4_000012_000022/frame_00250.jpg", + "30pYCRVWvO4_000012_000022/frame_00260.jpg", + "30pYCRVWvO4_000012_000022/frame_00270.jpg", + "30pYCRVWvO4_000012_000022/frame_00280.jpg", + "30pYCRVWvO4_000012_000022/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Juggling fire, a man performs while a group watches. He continues to juggle as he walks on the grass." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_1082", + "input": { + "video_file_list": [ + "NbqZy7cyzHY_000036_000046/frame_00000.jpg", + "NbqZy7cyzHY_000036_000046/frame_00010.jpg", + "NbqZy7cyzHY_000036_000046/frame_00020.jpg", + "NbqZy7cyzHY_000036_000046/frame_00030.jpg", + "NbqZy7cyzHY_000036_000046/frame_00040.jpg", + "NbqZy7cyzHY_000036_000046/frame_00050.jpg", + "NbqZy7cyzHY_000036_000046/frame_00060.jpg", + "NbqZy7cyzHY_000036_000046/frame_00070.jpg", + "NbqZy7cyzHY_000036_000046/frame_00080.jpg", + "NbqZy7cyzHY_000036_000046/frame_00090.jpg", + "NbqZy7cyzHY_000036_000046/frame_00100.jpg", + "NbqZy7cyzHY_000036_000046/frame_00110.jpg", + "NbqZy7cyzHY_000036_000046/frame_00120.jpg", + "NbqZy7cyzHY_000036_000046/frame_00130.jpg", + "NbqZy7cyzHY_000036_000046/frame_00140.jpg", + "NbqZy7cyzHY_000036_000046/frame_00150.jpg", + "NbqZy7cyzHY_000036_000046/frame_00160.jpg", + "NbqZy7cyzHY_000036_000046/frame_00170.jpg", + "NbqZy7cyzHY_000036_000046/frame_00180.jpg", + "NbqZy7cyzHY_000036_000046/frame_00190.jpg", + "NbqZy7cyzHY_000036_000046/frame_00200.jpg", + "NbqZy7cyzHY_000036_000046/frame_00210.jpg", + "NbqZy7cyzHY_000036_000046/frame_00220.jpg", + "NbqZy7cyzHY_000036_000046/frame_00230.jpg", + "NbqZy7cyzHY_000036_000046/frame_00240.jpg", + "NbqZy7cyzHY_000036_000046/frame_00250.jpg", + "NbqZy7cyzHY_000036_000046/frame_00260.jpg", + "NbqZy7cyzHY_000036_000046/frame_00270.jpg", + "NbqZy7cyzHY_000036_000046/frame_00280.jpg", + "NbqZy7cyzHY_000036_000046/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Finger drumming creates a rhythmic beat as the person taps on a colorful electronic device, which lights up in response." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0162", + "input": { + "video_file_list": [ + "DMpPnNXzYTs_000000_000010/frame_00000.jpg", + "DMpPnNXzYTs_000000_000010/frame_00003.jpg", + "DMpPnNXzYTs_000000_000010/frame_00006.jpg", + "DMpPnNXzYTs_000000_000010/frame_00009.jpg", + "DMpPnNXzYTs_000000_000010/frame_00012.jpg", + "DMpPnNXzYTs_000000_000010/frame_00015.jpg", + "DMpPnNXzYTs_000000_000010/frame_00018.jpg", + "DMpPnNXzYTs_000000_000010/frame_00021.jpg", + "DMpPnNXzYTs_000000_000010/frame_00024.jpg", + "DMpPnNXzYTs_000000_000010/frame_00027.jpg", + "DMpPnNXzYTs_000000_000010/frame_00030.jpg", + "DMpPnNXzYTs_000000_000010/frame_00033.jpg", + "DMpPnNXzYTs_000000_000010/frame_00036.jpg", + "DMpPnNXzYTs_000000_000010/frame_00039.jpg", + "DMpPnNXzYTs_000000_000010/frame_00042.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video showcases someone moonwalking on the beach, leaving footprints in the sand as they move back and forth. The rhythmic sound of waves enhances the mesmerizing effect." + } + }, + { + "id": "vc_closeset_entertainmentrelatedvideocaptioning_0724", + "input": { + "video_file_list": [ + "BAogaOXkM-U_000118_000128/frame_00000.jpg", + "BAogaOXkM-U_000118_000128/frame_00007.jpg", + "BAogaOXkM-U_000118_000128/frame_00014.jpg", + "BAogaOXkM-U_000118_000128/frame_00021.jpg", + "BAogaOXkM-U_000118_000128/frame_00028.jpg", + "BAogaOXkM-U_000118_000128/frame_00035.jpg", + "BAogaOXkM-U_000118_000128/frame_00042.jpg", + "BAogaOXkM-U_000118_000128/frame_00049.jpg", + "BAogaOXkM-U_000118_000128/frame_00056.jpg", + "BAogaOXkM-U_000118_000128/frame_00063.jpg", + "BAogaOXkM-U_000118_000128/frame_00070.jpg", + "BAogaOXkM-U_000118_000128/frame_00077.jpg", + "BAogaOXkM-U_000118_000128/frame_00084.jpg", + "BAogaOXkM-U_000118_000128/frame_00091.jpg", + "BAogaOXkM-U_000118_000128/frame_00098.jpg", + "BAogaOXkM-U_000118_000128/frame_00105.jpg", + "BAogaOXkM-U_000118_000128/frame_00112.jpg", + "BAogaOXkM-U_000118_000128/frame_00119.jpg", + "BAogaOXkM-U_000118_000128/frame_00126.jpg", + "BAogaOXkM-U_000118_000128/frame_00133.jpg", + "BAogaOXkM-U_000118_000128/frame_00140.jpg", + "BAogaOXkM-U_000118_000128/frame_00147.jpg", + "BAogaOXkM-U_000118_000128/frame_00154.jpg", + "BAogaOXkM-U_000118_000128/frame_00161.jpg", + "BAogaOXkM-U_000118_000128/frame_00168.jpg", + "BAogaOXkM-U_000118_000128/frame_00175.jpg", + "BAogaOXkM-U_000118_000128/frame_00182.jpg", + "BAogaOXkM-U_000118_000128/frame_00189.jpg", + "BAogaOXkM-U_000118_000128/frame_00196.jpg", + "BAogaOXkM-U_000118_000128/frame_00203.jpg", + "BAogaOXkM-U_000118_000128/frame_00210.jpg", + "BAogaOXkM-U_000118_000128/frame_00217.jpg", + "BAogaOXkM-U_000118_000128/frame_00224.jpg", + "BAogaOXkM-U_000118_000128/frame_00231.jpg", + "BAogaOXkM-U_000118_000128/frame_00238.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Salsa dancers lift each other on stage as the audience cheers." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/FacialActionVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/FacialActionVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5a375de9beb130cad2f708a9000f0eb822a1b4a4 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/FacialActionVideoCaptioning/annotation.json @@ -0,0 +1,247 @@ +{ + "task": "FacialActionVideoCaptioning", + "data_source": "hmdb51", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_facialactionvideocaptioning_0019", + "input": { + "video_file_list": [ + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00000.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00010.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00020.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00030.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00040.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00050.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00060.jpg", + "SE7EN_SMILES_x3_smile_h_cm_np1_fr_med_3/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Smiling, the man stands up while still grinning." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0127", + "input": { + "video_file_list": [ + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00000.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00010.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00020.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00030.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00040.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00050.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00060.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00070.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00080.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00090.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00100.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00110.jpg", + "Pirates_1_talk_u_nm_np1_fr_med_6/frame_00120.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, two men are talking on a ship as it floats on the water." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0176", + "input": { + "video_file_list": [ + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00000.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00010.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00020.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00030.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00040.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00050.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00060.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00070.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00080.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00090.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00100.jpg", + "Prelinger_FamilyLi1949_talk_h_nm_np1_fr_goo_24/frame_00110.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman is sitting in front of a camera and talking to someone off-camera." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0020", + "input": { + "video_file_list": [ + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00000.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00010.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00020.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00030.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00040.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00050.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00060.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00070.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00080.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00090.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00100.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00110.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00120.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00130.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00140.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00150.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00160.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00170.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00180.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00190.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00200.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00210.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00220.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00230.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00240.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00250.jpg", + "Skype_Laughter_Chain_laugh_h_cm_np1_fr_goo_3/frame_00260.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Laughing heartily, the man sits on the couch." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0003", + "input": { + "video_file_list": [ + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00000.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00010.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00020.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00030.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00040.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00050.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00060.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00070.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00080.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00090.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00100.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00110.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00120.jpg", + "Vid_Request-_Me_Blowing_Bubbles_-P_chew_h_nm_np1_fr_med_2/frame_00130.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Chewing on something, the woman continues to do so throughout the video while looking at the camera. The background features a wooden wall with hanging decorations." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0091", + "input": { + "video_file_list": [ + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00000.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00010.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00020.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00030.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00040.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00050.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00060.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00070.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00080.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00090.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00100.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00110.jpg", + "Pirates_6_talk_h_nm_np1_fr_med_1/frame_00120.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Talking to someone off-screen, the man with a serious expression makes the main focus in the dark background." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0012", + "input": { + "video_file_list": [ + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00000.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00010.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00020.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00030.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00040.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00050.jpg", + "prelinger_TowardEm1954_talk_u_nm_np1_fr_med_1/frame_00060.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows a man talking to someone off-camera indoors, with a chalkboard visible in the background." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0173", + "input": { + "video_file_list": [ + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00000.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00010.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00020.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00030.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00040.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00050.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00060.jpg", + "SE7EN_SMILES_x3_smile_h_nm_np1_fr_med_8/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Smiling, the man is seen speaking into a microphone and wearing headphones, clearly engaged in recording or a radio show/podcast." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0059", + "input": { + "video_file_list": [ + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00000.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00010.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00020.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00030.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00040.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00050.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00060.jpg", + "Pirates_7_talk_h_nm_np1_fr_goo_3/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a man talks to someone off-camera while standing in front of a group of men in red and white uniforms. He appears to be explaining something, and the uniformed men listen attentively." + } + }, + { + "id": "vc_closeset_facialactionvideocaptioning_0023", + "input": { + "video_file_list": [ + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00000.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00010.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00020.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00030.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00040.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00050.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00060.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00070.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00080.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00090.jpg", + "Sweet_Candy_Bubbles_chew_h_cm_np1_fr_med_1/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Chewing gum, the woman sits on the bed, lost in thought, periodically gazing into the distance. Her movements are slow and deliberate as she savoring the flavor." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/FacialObjectOperationsVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/FacialObjectOperationsVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f27e55ae950c53845d64578516e074938ffec932 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/FacialObjectOperationsVideoCaptioning/annotation.json @@ -0,0 +1,251 @@ +{ + "task": "FacialObjectOperationsVideoCaptioning", + "data_source": "hmdb51", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0014", + "input": { + "video_file_list": [ + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00000.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00010.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00020.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00030.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00040.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00050.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00060.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00070.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00080.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00090.jpg", + "KUNG_FU_HUSTLE_eat_h_cm_np1_le_goo_25/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Eating a bite of ice cream and chewing slowly, the man savoring his treat." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0122", + "input": { + "video_file_list": [ + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00000.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00006.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00012.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00018.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00024.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00030.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00036.jpg", + "BLACK_HAWK_DOWN_drink_u_nm_np1_fr_goo_4/frame_00042.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Drinking from a glass, a man sits at a table indoors, likely in a bar or restaurant." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0030", + "input": { + "video_file_list": [ + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00000.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00010.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00020.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00030.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00040.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00050.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00060.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00070.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00080.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00090.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00100.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00110.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00120.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00130.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00140.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00150.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00160.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00170.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00180.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00190.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00200.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00210.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00220.jpg", + "CastAway1_drink_h_cm_np1_le_goo_17/frame_00230.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "A man drinks from a coconut, bringing it to his mouth and savoring the refreshing coconut water." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0115", + "input": { + "video_file_list": [ + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00000.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00010.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00020.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00030.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00040.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00050.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00060.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00070.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00080.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00090.jpg", + "Gattaca_drink_h_cm_np1_fr_goo_4/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "A woman drinks from a glass of wine in a dimly lit room, surrounded by others." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0112", + "input": { + "video_file_list": [ + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00000.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00010.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00020.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00030.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00040.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00050.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00060.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00070.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00080.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00090.jpg", + "AmericanGangster_drink_u_cm_np1_fr_med_52/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a man is seen drinking at a dimly lit bar with other patrons in the background." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0026", + "input": { + "video_file_list": [ + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00000.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00010.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00020.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00030.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00040.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00050.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00060.jpg", + "AMADEUS_eat_u_nm_np1_fr_med_5/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman is eating at a table. Another person is sitting across from her, but their face is not visible." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0000", + "input": { + "video_file_list": [ + "raucher_smoke_u_nm_np1_fr_med_0/frame_00000.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00010.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00020.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00030.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00040.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00050.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00060.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00070.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00080.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00090.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00100.jpg", + "raucher_smoke_u_nm_np1_fr_med_0/frame_00110.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Smoking: A man is seen smoking a cigarette while standing outside with a car behind him." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0023", + "input": { + "video_file_list": [ + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00000.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00010.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00020.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00030.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00040.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00050.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00060.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00070.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00080.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00090.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00100.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00110.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00120.jpg", + "CastAway1_eat_u_nm_np2_fr_med_5/frame_00130.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Eating something, one man observes another on the train." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0090", + "input": { + "video_file_list": [ + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00000.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00010.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00020.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00030.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00040.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00050.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00060.jpg", + "Return_of_the_King_5_drink_h_nm_np1_ri_goo_0/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Drinking from a cup, the man appears to be enjoying his beverage." + } + }, + { + "id": "vc_closeset_facialobjectoperationsvideocaptioning_0072", + "input": { + "video_file_list": [ + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00000.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00010.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00020.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00030.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00040.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00050.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00060.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00070.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00080.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00090.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00100.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00110.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00120.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00130.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00140.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00150.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00160.jpg", + "smoking_again_smoke_h_cm_np1_le_goo_2/frame_00170.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Smoking: A woman smokes a cigarette while holding a sleeping baby on her back, exhaling smoke into the air." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/FinanceVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/FinanceVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5c063b4bf6decfad65ee4fb0c5d6080caa7904a3 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/FinanceVideoCaptioning/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "FinanceVideoCaptioning", + "data_source": "videomme", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_financevideocaptioning_0008", + "input": { + "video_file_list": [ + "FQd5bo9nIZs/frame_001.jpg", + "FQd5bo9nIZs/frame_002.jpg", + "FQd5bo9nIZs/frame_003.jpg", + "FQd5bo9nIZs/frame_004.jpg", + "FQd5bo9nIZs/frame_005.jpg", + "FQd5bo9nIZs/frame_006.jpg", + "FQd5bo9nIZs/frame_007.jpg", + "FQd5bo9nIZs/frame_008.jpg", + "FQd5bo9nIZs/frame_009.jpg", + "FQd5bo9nIZs/frame_010.jpg", + "FQd5bo9nIZs/frame_011.jpg", + "FQd5bo9nIZs/frame_012.jpg", + "FQd5bo9nIZs/frame_013.jpg", + "FQd5bo9nIZs/frame_014.jpg", + "FQd5bo9nIZs/frame_015.jpg", + "FQd5bo9nIZs/frame_016.jpg", + "FQd5bo9nIZs/frame_017.jpg", + "FQd5bo9nIZs/frame_018.jpg", + "FQd5bo9nIZs/frame_019.jpg", + "FQd5bo9nIZs/frame_020.jpg", + "FQd5bo9nIZs/frame_021.jpg", + "FQd5bo9nIZs/frame_022.jpg", + "FQd5bo9nIZs/frame_023.jpg", + "FQd5bo9nIZs/frame_024.jpg", + "FQd5bo9nIZs/frame_025.jpg", + "FQd5bo9nIZs/frame_026.jpg", + "FQd5bo9nIZs/frame_027.jpg", + "FQd5bo9nIZs/frame_028.jpg", + "FQd5bo9nIZs/frame_029.jpg", + "FQd5bo9nIZs/frame_030.jpg", + "FQd5bo9nIZs/frame_031.jpg", + "FQd5bo9nIZs/frame_032.jpg", + "FQd5bo9nIZs/frame_033.jpg", + "FQd5bo9nIZs/frame_034.jpg", + "FQd5bo9nIZs/frame_035.jpg", + "FQd5bo9nIZs/frame_036.jpg", + "FQd5bo9nIZs/frame_037.jpg", + "FQd5bo9nIZs/frame_038.jpg", + "FQd5bo9nIZs/frame_039.jpg", + "FQd5bo9nIZs/frame_040.jpg", + "FQd5bo9nIZs/frame_041.jpg", + "FQd5bo9nIZs/frame_042.jpg", + "FQd5bo9nIZs/frame_043.jpg", + "FQd5bo9nIZs/frame_044.jpg", + "FQd5bo9nIZs/frame_045.jpg", + "FQd5bo9nIZs/frame_046.jpg", + "FQd5bo9nIZs/frame_047.jpg", + "FQd5bo9nIZs/frame_048.jpg", + "FQd5bo9nIZs/frame_049.jpg", + "FQd5bo9nIZs/frame_050.jpg", + "FQd5bo9nIZs/frame_051.jpg", + "FQd5bo9nIZs/frame_052.jpg", + "FQd5bo9nIZs/frame_053.jpg", + "FQd5bo9nIZs/frame_054.jpg", + "FQd5bo9nIZs/frame_055.jpg", + "FQd5bo9nIZs/frame_056.jpg", + "FQd5bo9nIZs/frame_057.jpg", + "FQd5bo9nIZs/frame_058.jpg", + "FQd5bo9nIZs/frame_059.jpg", + "FQd5bo9nIZs/frame_060.jpg", + "FQd5bo9nIZs/frame_061.jpg", + "FQd5bo9nIZs/frame_062.jpg", + "FQd5bo9nIZs/frame_063.jpg", + "FQd5bo9nIZs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man in a suit and tie, a man wearing glasses, and a woman with glasses. It includes a green screen with an image of a person and concludes with a black background displaying white text that reads \"time." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0017", + "input": { + "video_file_list": [ + "oue5A-7Hpx4/frame_001.jpg", + "oue5A-7Hpx4/frame_002.jpg", + "oue5A-7Hpx4/frame_003.jpg", + "oue5A-7Hpx4/frame_004.jpg", + "oue5A-7Hpx4/frame_005.jpg", + "oue5A-7Hpx4/frame_006.jpg", + "oue5A-7Hpx4/frame_007.jpg", + "oue5A-7Hpx4/frame_008.jpg", + "oue5A-7Hpx4/frame_009.jpg", + "oue5A-7Hpx4/frame_010.jpg", + "oue5A-7Hpx4/frame_011.jpg", + "oue5A-7Hpx4/frame_012.jpg", + "oue5A-7Hpx4/frame_013.jpg", + "oue5A-7Hpx4/frame_014.jpg", + "oue5A-7Hpx4/frame_015.jpg", + "oue5A-7Hpx4/frame_016.jpg", + "oue5A-7Hpx4/frame_017.jpg", + "oue5A-7Hpx4/frame_018.jpg", + "oue5A-7Hpx4/frame_019.jpg", + "oue5A-7Hpx4/frame_020.jpg", + "oue5A-7Hpx4/frame_021.jpg", + "oue5A-7Hpx4/frame_022.jpg", + "oue5A-7Hpx4/frame_023.jpg", + "oue5A-7Hpx4/frame_024.jpg", + "oue5A-7Hpx4/frame_025.jpg", + "oue5A-7Hpx4/frame_026.jpg", + "oue5A-7Hpx4/frame_027.jpg", + "oue5A-7Hpx4/frame_028.jpg", + "oue5A-7Hpx4/frame_029.jpg", + "oue5A-7Hpx4/frame_030.jpg", + "oue5A-7Hpx4/frame_031.jpg", + "oue5A-7Hpx4/frame_032.jpg", + "oue5A-7Hpx4/frame_033.jpg", + "oue5A-7Hpx4/frame_034.jpg", + "oue5A-7Hpx4/frame_035.jpg", + "oue5A-7Hpx4/frame_036.jpg", + "oue5A-7Hpx4/frame_037.jpg", + "oue5A-7Hpx4/frame_038.jpg", + "oue5A-7Hpx4/frame_039.jpg", + "oue5A-7Hpx4/frame_040.jpg", + "oue5A-7Hpx4/frame_041.jpg", + "oue5A-7Hpx4/frame_042.jpg", + "oue5A-7Hpx4/frame_043.jpg", + "oue5A-7Hpx4/frame_044.jpg", + "oue5A-7Hpx4/frame_045.jpg", + "oue5A-7Hpx4/frame_046.jpg", + "oue5A-7Hpx4/frame_047.jpg", + "oue5A-7Hpx4/frame_048.jpg", + "oue5A-7Hpx4/frame_049.jpg", + "oue5A-7Hpx4/frame_050.jpg", + "oue5A-7Hpx4/frame_051.jpg", + "oue5A-7Hpx4/frame_052.jpg", + "oue5A-7Hpx4/frame_053.jpg", + "oue5A-7Hpx4/frame_054.jpg", + "oue5A-7Hpx4/frame_055.jpg", + "oue5A-7Hpx4/frame_056.jpg", + "oue5A-7Hpx4/frame_057.jpg", + "oue5A-7Hpx4/frame_058.jpg", + "oue5A-7Hpx4/frame_059.jpg", + "oue5A-7Hpx4/frame_060.jpg", + "oue5A-7Hpx4/frame_061.jpg", + "oue5A-7Hpx4/frame_062.jpg", + "oue5A-7Hpx4/frame_063.jpg", + "oue5A-7Hpx4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts people shopping and using credit cards for payments. It includes expert interviews that cover the history of credit cards, their functioning, and societal impacts. The segment concludes with a look at the potential evolution of credit cards in the future." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0010", + "input": { + "video_file_list": [ + "t6V9i8fFADI/frame_001.jpg", + "t6V9i8fFADI/frame_002.jpg", + "t6V9i8fFADI/frame_003.jpg", + "t6V9i8fFADI/frame_004.jpg", + "t6V9i8fFADI/frame_005.jpg", + "t6V9i8fFADI/frame_006.jpg", + "t6V9i8fFADI/frame_007.jpg", + "t6V9i8fFADI/frame_008.jpg", + "t6V9i8fFADI/frame_009.jpg", + "t6V9i8fFADI/frame_010.jpg", + "t6V9i8fFADI/frame_011.jpg", + "t6V9i8fFADI/frame_012.jpg", + "t6V9i8fFADI/frame_013.jpg", + "t6V9i8fFADI/frame_014.jpg", + "t6V9i8fFADI/frame_015.jpg", + "t6V9i8fFADI/frame_016.jpg", + "t6V9i8fFADI/frame_017.jpg", + "t6V9i8fFADI/frame_018.jpg", + "t6V9i8fFADI/frame_019.jpg", + "t6V9i8fFADI/frame_020.jpg", + "t6V9i8fFADI/frame_021.jpg", + "t6V9i8fFADI/frame_022.jpg", + "t6V9i8fFADI/frame_023.jpg", + "t6V9i8fFADI/frame_024.jpg", + "t6V9i8fFADI/frame_025.jpg", + "t6V9i8fFADI/frame_026.jpg", + "t6V9i8fFADI/frame_027.jpg", + "t6V9i8fFADI/frame_028.jpg", + "t6V9i8fFADI/frame_029.jpg", + "t6V9i8fFADI/frame_030.jpg", + "t6V9i8fFADI/frame_031.jpg", + "t6V9i8fFADI/frame_032.jpg", + "t6V9i8fFADI/frame_033.jpg", + "t6V9i8fFADI/frame_034.jpg", + "t6V9i8fFADI/frame_035.jpg", + "t6V9i8fFADI/frame_036.jpg", + "t6V9i8fFADI/frame_037.jpg", + "t6V9i8fFADI/frame_038.jpg", + "t6V9i8fFADI/frame_039.jpg", + "t6V9i8fFADI/frame_040.jpg", + "t6V9i8fFADI/frame_041.jpg", + "t6V9i8fFADI/frame_042.jpg", + "t6V9i8fFADI/frame_043.jpg", + "t6V9i8fFADI/frame_044.jpg", + "t6V9i8fFADI/frame_045.jpg", + "t6V9i8fFADI/frame_046.jpg", + "t6V9i8fFADI/frame_047.jpg", + "t6V9i8fFADI/frame_048.jpg", + "t6V9i8fFADI/frame_049.jpg", + "t6V9i8fFADI/frame_050.jpg", + "t6V9i8fFADI/frame_051.jpg", + "t6V9i8fFADI/frame_052.jpg", + "t6V9i8fFADI/frame_053.jpg", + "t6V9i8fFADI/frame_054.jpg", + "t6V9i8fFADI/frame_055.jpg", + "t6V9i8fFADI/frame_056.jpg", + "t6V9i8fFADI/frame_057.jpg", + "t6V9i8fFADI/frame_058.jpg", + "t6V9i8fFADI/frame_059.jpg", + "t6V9i8fFADI/frame_060.jpg", + "t6V9i8fFADI/frame_061.jpg", + "t6V9i8fFADI/frame_062.jpg", + "t6V9i8fFADI/frame_063.jpg", + "t6V9i8fFADI/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man in a blue shirt speaking to the camera with graphs and charts visible behind him. It also includes a man in a suit and tie using a microphone and another man in glasses and a blue shirt." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0015", + "input": { + "video_file_list": [ + "EQ-67udZEeg/frame_001.jpg", + "EQ-67udZEeg/frame_002.jpg", + "EQ-67udZEeg/frame_003.jpg", + "EQ-67udZEeg/frame_004.jpg", + "EQ-67udZEeg/frame_005.jpg", + "EQ-67udZEeg/frame_006.jpg", + "EQ-67udZEeg/frame_007.jpg", + "EQ-67udZEeg/frame_008.jpg", + "EQ-67udZEeg/frame_009.jpg", + "EQ-67udZEeg/frame_010.jpg", + "EQ-67udZEeg/frame_011.jpg", + "EQ-67udZEeg/frame_012.jpg", + "EQ-67udZEeg/frame_013.jpg", + "EQ-67udZEeg/frame_014.jpg", + "EQ-67udZEeg/frame_015.jpg", + "EQ-67udZEeg/frame_016.jpg", + "EQ-67udZEeg/frame_017.jpg", + "EQ-67udZEeg/frame_018.jpg", + "EQ-67udZEeg/frame_019.jpg", + "EQ-67udZEeg/frame_020.jpg", + "EQ-67udZEeg/frame_021.jpg", + "EQ-67udZEeg/frame_022.jpg", + "EQ-67udZEeg/frame_023.jpg", + "EQ-67udZEeg/frame_024.jpg", + "EQ-67udZEeg/frame_025.jpg", + "EQ-67udZEeg/frame_026.jpg", + "EQ-67udZEeg/frame_027.jpg", + "EQ-67udZEeg/frame_028.jpg", + "EQ-67udZEeg/frame_029.jpg", + "EQ-67udZEeg/frame_030.jpg", + "EQ-67udZEeg/frame_031.jpg", + "EQ-67udZEeg/frame_032.jpg", + "EQ-67udZEeg/frame_033.jpg", + "EQ-67udZEeg/frame_034.jpg", + "EQ-67udZEeg/frame_035.jpg", + "EQ-67udZEeg/frame_036.jpg", + "EQ-67udZEeg/frame_037.jpg", + "EQ-67udZEeg/frame_038.jpg", + "EQ-67udZEeg/frame_039.jpg", + "EQ-67udZEeg/frame_040.jpg", + "EQ-67udZEeg/frame_041.jpg", + "EQ-67udZEeg/frame_042.jpg", + "EQ-67udZEeg/frame_043.jpg", + "EQ-67udZEeg/frame_044.jpg", + "EQ-67udZEeg/frame_045.jpg", + "EQ-67udZEeg/frame_046.jpg", + "EQ-67udZEeg/frame_047.jpg", + "EQ-67udZEeg/frame_048.jpg", + "EQ-67udZEeg/frame_049.jpg", + "EQ-67udZEeg/frame_050.jpg", + "EQ-67udZEeg/frame_051.jpg", + "EQ-67udZEeg/frame_052.jpg", + "EQ-67udZEeg/frame_053.jpg", + "EQ-67udZEeg/frame_054.jpg", + "EQ-67udZEeg/frame_055.jpg", + "EQ-67udZEeg/frame_056.jpg", + "EQ-67udZEeg/frame_057.jpg", + "EQ-67udZEeg/frame_058.jpg", + "EQ-67udZEeg/frame_059.jpg", + "EQ-67udZEeg/frame_060.jpg", + "EQ-67udZEeg/frame_061.jpg", + "EQ-67udZEeg/frame_062.jpg", + "EQ-67udZEeg/frame_063.jpg", + "EQ-67udZEeg/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a girl beside a bar graph, followed by a group of people, and includes logos from companies such as Coca Cola, Ford, FedEx, Google, Adobe, and Starbucks." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0005", + "input": { + "video_file_list": [ + "pU_yyadYgG8/frame_001.jpg", + "pU_yyadYgG8/frame_002.jpg", + "pU_yyadYgG8/frame_003.jpg", + "pU_yyadYgG8/frame_004.jpg", + "pU_yyadYgG8/frame_005.jpg", + "pU_yyadYgG8/frame_006.jpg", + "pU_yyadYgG8/frame_007.jpg", + "pU_yyadYgG8/frame_008.jpg", + "pU_yyadYgG8/frame_009.jpg", + "pU_yyadYgG8/frame_010.jpg", + "pU_yyadYgG8/frame_011.jpg", + "pU_yyadYgG8/frame_012.jpg", + "pU_yyadYgG8/frame_013.jpg", + "pU_yyadYgG8/frame_014.jpg", + "pU_yyadYgG8/frame_015.jpg", + "pU_yyadYgG8/frame_016.jpg", + "pU_yyadYgG8/frame_017.jpg", + "pU_yyadYgG8/frame_018.jpg", + "pU_yyadYgG8/frame_019.jpg", + "pU_yyadYgG8/frame_020.jpg", + "pU_yyadYgG8/frame_021.jpg", + "pU_yyadYgG8/frame_022.jpg", + "pU_yyadYgG8/frame_023.jpg", + "pU_yyadYgG8/frame_024.jpg", + "pU_yyadYgG8/frame_025.jpg", + "pU_yyadYgG8/frame_026.jpg", + "pU_yyadYgG8/frame_027.jpg", + "pU_yyadYgG8/frame_028.jpg", + "pU_yyadYgG8/frame_029.jpg", + "pU_yyadYgG8/frame_030.jpg", + "pU_yyadYgG8/frame_031.jpg", + "pU_yyadYgG8/frame_032.jpg", + "pU_yyadYgG8/frame_033.jpg", + "pU_yyadYgG8/frame_034.jpg", + "pU_yyadYgG8/frame_035.jpg", + "pU_yyadYgG8/frame_036.jpg", + "pU_yyadYgG8/frame_037.jpg", + "pU_yyadYgG8/frame_038.jpg", + "pU_yyadYgG8/frame_039.jpg", + "pU_yyadYgG8/frame_040.jpg", + "pU_yyadYgG8/frame_041.jpg", + "pU_yyadYgG8/frame_042.jpg", + "pU_yyadYgG8/frame_043.jpg", + "pU_yyadYgG8/frame_044.jpg", + "pU_yyadYgG8/frame_045.jpg", + "pU_yyadYgG8/frame_046.jpg", + "pU_yyadYgG8/frame_047.jpg", + "pU_yyadYgG8/frame_048.jpg", + "pU_yyadYgG8/frame_049.jpg", + "pU_yyadYgG8/frame_050.jpg", + "pU_yyadYgG8/frame_051.jpg", + "pU_yyadYgG8/frame_052.jpg", + "pU_yyadYgG8/frame_053.jpg", + "pU_yyadYgG8/frame_054.jpg", + "pU_yyadYgG8/frame_055.jpg", + "pU_yyadYgG8/frame_056.jpg", + "pU_yyadYgG8/frame_057.jpg", + "pU_yyadYgG8/frame_058.jpg", + "pU_yyadYgG8/frame_059.jpg", + "pU_yyadYgG8/frame_060.jpg", + "pU_yyadYgG8/frame_061.jpg", + "pU_yyadYgG8/frame_062.jpg", + "pU_yyadYgG8/frame_063.jpg", + "pU_yyadYgG8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video includes a man speaking into a microphone, along with footage of people moving and working. It also shows a man using a hose to spray water." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0001", + "input": { + "video_file_list": [ + "GFTKKyYSCKs/frame_001.jpg", + "GFTKKyYSCKs/frame_002.jpg", + "GFTKKyYSCKs/frame_003.jpg", + "GFTKKyYSCKs/frame_004.jpg", + "GFTKKyYSCKs/frame_005.jpg", + "GFTKKyYSCKs/frame_006.jpg", + "GFTKKyYSCKs/frame_007.jpg", + "GFTKKyYSCKs/frame_008.jpg", + "GFTKKyYSCKs/frame_009.jpg", + "GFTKKyYSCKs/frame_010.jpg", + "GFTKKyYSCKs/frame_011.jpg", + "GFTKKyYSCKs/frame_012.jpg", + "GFTKKyYSCKs/frame_013.jpg", + "GFTKKyYSCKs/frame_014.jpg", + "GFTKKyYSCKs/frame_015.jpg", + "GFTKKyYSCKs/frame_016.jpg", + "GFTKKyYSCKs/frame_017.jpg", + "GFTKKyYSCKs/frame_018.jpg", + "GFTKKyYSCKs/frame_019.jpg", + "GFTKKyYSCKs/frame_020.jpg", + "GFTKKyYSCKs/frame_021.jpg", + "GFTKKyYSCKs/frame_022.jpg", + "GFTKKyYSCKs/frame_023.jpg", + "GFTKKyYSCKs/frame_024.jpg", + "GFTKKyYSCKs/frame_025.jpg", + "GFTKKyYSCKs/frame_026.jpg", + "GFTKKyYSCKs/frame_027.jpg", + "GFTKKyYSCKs/frame_028.jpg", + "GFTKKyYSCKs/frame_029.jpg", + "GFTKKyYSCKs/frame_030.jpg", + "GFTKKyYSCKs/frame_031.jpg", + "GFTKKyYSCKs/frame_032.jpg", + "GFTKKyYSCKs/frame_033.jpg", + "GFTKKyYSCKs/frame_034.jpg", + "GFTKKyYSCKs/frame_035.jpg", + "GFTKKyYSCKs/frame_036.jpg", + "GFTKKyYSCKs/frame_037.jpg", + "GFTKKyYSCKs/frame_038.jpg", + "GFTKKyYSCKs/frame_039.jpg", + "GFTKKyYSCKs/frame_040.jpg", + "GFTKKyYSCKs/frame_041.jpg", + "GFTKKyYSCKs/frame_042.jpg", + "GFTKKyYSCKs/frame_043.jpg", + "GFTKKyYSCKs/frame_044.jpg", + "GFTKKyYSCKs/frame_045.jpg", + "GFTKKyYSCKs/frame_046.jpg", + "GFTKKyYSCKs/frame_047.jpg", + "GFTKKyYSCKs/frame_048.jpg", + "GFTKKyYSCKs/frame_049.jpg", + "GFTKKyYSCKs/frame_050.jpg", + "GFTKKyYSCKs/frame_051.jpg", + "GFTKKyYSCKs/frame_052.jpg", + "GFTKKyYSCKs/frame_053.jpg", + "GFTKKyYSCKs/frame_054.jpg", + "GFTKKyYSCKs/frame_055.jpg", + "GFTKKyYSCKs/frame_056.jpg", + "GFTKKyYSCKs/frame_057.jpg", + "GFTKKyYSCKs/frame_058.jpg", + "GFTKKyYSCKs/frame_059.jpg", + "GFTKKyYSCKs/frame_060.jpg", + "GFTKKyYSCKs/frame_061.jpg", + "GFTKKyYSCKs/frame_062.jpg", + "GFTKKyYSCKs/frame_063.jpg", + "GFTKKyYSCKs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man holding a dollar bill and a woman holding a clock, with \"inflation\" displayed onscreen. It includes a newspaper with the headline \"2009 crisis\" and a cartoon image of a man walking down the street with a briefcase. The video concludes with an illustration of a globe featuring a dollar sign." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0006", + "input": { + "video_file_list": [ + "9bbWYVrQgZ8/frame_001.jpg", + "9bbWYVrQgZ8/frame_002.jpg", + "9bbWYVrQgZ8/frame_003.jpg", + "9bbWYVrQgZ8/frame_004.jpg", + "9bbWYVrQgZ8/frame_005.jpg", + "9bbWYVrQgZ8/frame_006.jpg", + "9bbWYVrQgZ8/frame_007.jpg", + "9bbWYVrQgZ8/frame_008.jpg", + "9bbWYVrQgZ8/frame_009.jpg", + "9bbWYVrQgZ8/frame_010.jpg", + "9bbWYVrQgZ8/frame_011.jpg", + "9bbWYVrQgZ8/frame_012.jpg", + "9bbWYVrQgZ8/frame_013.jpg", + "9bbWYVrQgZ8/frame_014.jpg", + "9bbWYVrQgZ8/frame_015.jpg", + "9bbWYVrQgZ8/frame_016.jpg", + "9bbWYVrQgZ8/frame_017.jpg", + "9bbWYVrQgZ8/frame_018.jpg", + "9bbWYVrQgZ8/frame_019.jpg", + "9bbWYVrQgZ8/frame_020.jpg", + "9bbWYVrQgZ8/frame_021.jpg", + "9bbWYVrQgZ8/frame_022.jpg", + "9bbWYVrQgZ8/frame_023.jpg", + "9bbWYVrQgZ8/frame_024.jpg", + "9bbWYVrQgZ8/frame_025.jpg", + "9bbWYVrQgZ8/frame_026.jpg", + "9bbWYVrQgZ8/frame_027.jpg", + "9bbWYVrQgZ8/frame_028.jpg", + "9bbWYVrQgZ8/frame_029.jpg", + "9bbWYVrQgZ8/frame_030.jpg", + "9bbWYVrQgZ8/frame_031.jpg", + "9bbWYVrQgZ8/frame_032.jpg", + "9bbWYVrQgZ8/frame_033.jpg", + "9bbWYVrQgZ8/frame_034.jpg", + "9bbWYVrQgZ8/frame_035.jpg", + "9bbWYVrQgZ8/frame_036.jpg", + "9bbWYVrQgZ8/frame_037.jpg", + "9bbWYVrQgZ8/frame_038.jpg", + "9bbWYVrQgZ8/frame_039.jpg", + "9bbWYVrQgZ8/frame_040.jpg", + "9bbWYVrQgZ8/frame_041.jpg", + "9bbWYVrQgZ8/frame_042.jpg", + "9bbWYVrQgZ8/frame_043.jpg", + "9bbWYVrQgZ8/frame_044.jpg", + "9bbWYVrQgZ8/frame_045.jpg", + "9bbWYVrQgZ8/frame_046.jpg", + "9bbWYVrQgZ8/frame_047.jpg", + "9bbWYVrQgZ8/frame_048.jpg", + "9bbWYVrQgZ8/frame_049.jpg", + "9bbWYVrQgZ8/frame_050.jpg", + "9bbWYVrQgZ8/frame_051.jpg", + "9bbWYVrQgZ8/frame_052.jpg", + "9bbWYVrQgZ8/frame_053.jpg", + "9bbWYVrQgZ8/frame_054.jpg", + "9bbWYVrQgZ8/frame_055.jpg", + "9bbWYVrQgZ8/frame_056.jpg", + "9bbWYVrQgZ8/frame_057.jpg", + "9bbWYVrQgZ8/frame_058.jpg", + "9bbWYVrQgZ8/frame_059.jpg", + "9bbWYVrQgZ8/frame_060.jpg", + "9bbWYVrQgZ8/frame_061.jpg", + "9bbWYVrQgZ8/frame_062.jpg", + "9bbWYVrQgZ8/frame_063.jpg", + "9bbWYVrQgZ8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a conversation between a man and a woman, with the woman wearing glasses. A world map hangs on the wall behind them. The sequence concludes with a view of a man in a suit standing by a window." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0012", + "input": { + "video_file_list": [ + "ZCFkWDdmXG8/frame_001.jpg", + "ZCFkWDdmXG8/frame_002.jpg", + "ZCFkWDdmXG8/frame_003.jpg", + "ZCFkWDdmXG8/frame_004.jpg", + "ZCFkWDdmXG8/frame_005.jpg", + "ZCFkWDdmXG8/frame_006.jpg", + "ZCFkWDdmXG8/frame_007.jpg", + "ZCFkWDdmXG8/frame_008.jpg", + "ZCFkWDdmXG8/frame_009.jpg", + "ZCFkWDdmXG8/frame_010.jpg", + "ZCFkWDdmXG8/frame_011.jpg", + "ZCFkWDdmXG8/frame_012.jpg", + "ZCFkWDdmXG8/frame_013.jpg", + "ZCFkWDdmXG8/frame_014.jpg", + "ZCFkWDdmXG8/frame_015.jpg", + "ZCFkWDdmXG8/frame_016.jpg", + "ZCFkWDdmXG8/frame_017.jpg", + "ZCFkWDdmXG8/frame_018.jpg", + "ZCFkWDdmXG8/frame_019.jpg", + "ZCFkWDdmXG8/frame_020.jpg", + "ZCFkWDdmXG8/frame_021.jpg", + "ZCFkWDdmXG8/frame_022.jpg", + "ZCFkWDdmXG8/frame_023.jpg", + "ZCFkWDdmXG8/frame_024.jpg", + "ZCFkWDdmXG8/frame_025.jpg", + "ZCFkWDdmXG8/frame_026.jpg", + "ZCFkWDdmXG8/frame_027.jpg", + "ZCFkWDdmXG8/frame_028.jpg", + "ZCFkWDdmXG8/frame_029.jpg", + "ZCFkWDdmXG8/frame_030.jpg", + "ZCFkWDdmXG8/frame_031.jpg", + "ZCFkWDdmXG8/frame_032.jpg", + "ZCFkWDdmXG8/frame_033.jpg", + "ZCFkWDdmXG8/frame_034.jpg", + "ZCFkWDdmXG8/frame_035.jpg", + "ZCFkWDdmXG8/frame_036.jpg", + "ZCFkWDdmXG8/frame_037.jpg", + "ZCFkWDdmXG8/frame_038.jpg", + "ZCFkWDdmXG8/frame_039.jpg", + "ZCFkWDdmXG8/frame_040.jpg", + "ZCFkWDdmXG8/frame_041.jpg", + "ZCFkWDdmXG8/frame_042.jpg", + "ZCFkWDdmXG8/frame_043.jpg", + "ZCFkWDdmXG8/frame_044.jpg", + "ZCFkWDdmXG8/frame_045.jpg", + "ZCFkWDdmXG8/frame_046.jpg", + "ZCFkWDdmXG8/frame_047.jpg", + "ZCFkWDdmXG8/frame_048.jpg", + "ZCFkWDdmXG8/frame_049.jpg", + "ZCFkWDdmXG8/frame_050.jpg", + "ZCFkWDdmXG8/frame_051.jpg", + "ZCFkWDdmXG8/frame_052.jpg", + "ZCFkWDdmXG8/frame_053.jpg", + "ZCFkWDdmXG8/frame_054.jpg", + "ZCFkWDdmXG8/frame_055.jpg", + "ZCFkWDdmXG8/frame_056.jpg", + "ZCFkWDdmXG8/frame_057.jpg", + "ZCFkWDdmXG8/frame_058.jpg", + "ZCFkWDdmXG8/frame_059.jpg", + "ZCFkWDdmXG8/frame_060.jpg", + "ZCFkWDdmXG8/frame_061.jpg", + "ZCFkWDdmXG8/frame_062.jpg", + "ZCFkWDdmXG8/frame_063.jpg", + "ZCFkWDdmXG8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man in a suit and tie dancing in an office, a woman speaking into the camera, and a group of people gathered around a table. It also includes a scene of a man in a suit and tie seated at a chair with a pile of papers nearby." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0007", + "input": { + "video_file_list": [ + "9XCKnN6o19k/frame_001.jpg", + "9XCKnN6o19k/frame_002.jpg", + "9XCKnN6o19k/frame_003.jpg", + "9XCKnN6o19k/frame_004.jpg", + "9XCKnN6o19k/frame_005.jpg", + "9XCKnN6o19k/frame_006.jpg", + "9XCKnN6o19k/frame_007.jpg", + "9XCKnN6o19k/frame_008.jpg", + "9XCKnN6o19k/frame_009.jpg", + "9XCKnN6o19k/frame_010.jpg", + "9XCKnN6o19k/frame_011.jpg", + "9XCKnN6o19k/frame_012.jpg", + "9XCKnN6o19k/frame_013.jpg", + "9XCKnN6o19k/frame_014.jpg", + "9XCKnN6o19k/frame_015.jpg", + "9XCKnN6o19k/frame_016.jpg", + "9XCKnN6o19k/frame_017.jpg", + "9XCKnN6o19k/frame_018.jpg", + "9XCKnN6o19k/frame_019.jpg", + "9XCKnN6o19k/frame_020.jpg", + "9XCKnN6o19k/frame_021.jpg", + "9XCKnN6o19k/frame_022.jpg", + "9XCKnN6o19k/frame_023.jpg", + "9XCKnN6o19k/frame_024.jpg", + "9XCKnN6o19k/frame_025.jpg", + "9XCKnN6o19k/frame_026.jpg", + "9XCKnN6o19k/frame_027.jpg", + "9XCKnN6o19k/frame_028.jpg", + "9XCKnN6o19k/frame_029.jpg", + "9XCKnN6o19k/frame_030.jpg", + "9XCKnN6o19k/frame_031.jpg", + "9XCKnN6o19k/frame_032.jpg", + "9XCKnN6o19k/frame_033.jpg", + "9XCKnN6o19k/frame_034.jpg", + "9XCKnN6o19k/frame_035.jpg", + "9XCKnN6o19k/frame_036.jpg", + "9XCKnN6o19k/frame_037.jpg", + "9XCKnN6o19k/frame_038.jpg", + "9XCKnN6o19k/frame_039.jpg", + "9XCKnN6o19k/frame_040.jpg", + "9XCKnN6o19k/frame_041.jpg", + "9XCKnN6o19k/frame_042.jpg", + "9XCKnN6o19k/frame_043.jpg", + "9XCKnN6o19k/frame_044.jpg", + "9XCKnN6o19k/frame_045.jpg", + "9XCKnN6o19k/frame_046.jpg", + "9XCKnN6o19k/frame_047.jpg", + "9XCKnN6o19k/frame_048.jpg", + "9XCKnN6o19k/frame_049.jpg", + "9XCKnN6o19k/frame_050.jpg", + "9XCKnN6o19k/frame_051.jpg", + "9XCKnN6o19k/frame_052.jpg", + "9XCKnN6o19k/frame_053.jpg", + "9XCKnN6o19k/frame_054.jpg", + "9XCKnN6o19k/frame_055.jpg", + "9XCKnN6o19k/frame_056.jpg", + "9XCKnN6o19k/frame_057.jpg", + "9XCKnN6o19k/frame_058.jpg", + "9XCKnN6o19k/frame_059.jpg", + "9XCKnN6o19k/frame_060.jpg", + "9XCKnN6o19k/frame_061.jpg", + "9XCKnN6o19k/frame_062.jpg", + "9XCKnN6o19k/frame_063.jpg", + "9XCKnN6o19k/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts people walking on the street, including a woman speaking to the camera, a man wearing glasses, and a woman with long hair. It concludes with a woman in a white shirt." + } + }, + { + "id": "vc_closeset_financevideocaptioning_0013", + "input": { + "video_file_list": [ + "zKyWRRJQbkM/frame_001.jpg", + "zKyWRRJQbkM/frame_002.jpg", + "zKyWRRJQbkM/frame_003.jpg", + "zKyWRRJQbkM/frame_004.jpg", + "zKyWRRJQbkM/frame_005.jpg", + "zKyWRRJQbkM/frame_006.jpg", + "zKyWRRJQbkM/frame_007.jpg", + "zKyWRRJQbkM/frame_008.jpg", + "zKyWRRJQbkM/frame_009.jpg", + "zKyWRRJQbkM/frame_010.jpg", + "zKyWRRJQbkM/frame_011.jpg", + "zKyWRRJQbkM/frame_012.jpg", + "zKyWRRJQbkM/frame_013.jpg", + "zKyWRRJQbkM/frame_014.jpg", + "zKyWRRJQbkM/frame_015.jpg", + "zKyWRRJQbkM/frame_016.jpg", + "zKyWRRJQbkM/frame_017.jpg", + "zKyWRRJQbkM/frame_018.jpg", + "zKyWRRJQbkM/frame_019.jpg", + "zKyWRRJQbkM/frame_020.jpg", + "zKyWRRJQbkM/frame_021.jpg", + "zKyWRRJQbkM/frame_022.jpg", + "zKyWRRJQbkM/frame_023.jpg", + "zKyWRRJQbkM/frame_024.jpg", + "zKyWRRJQbkM/frame_025.jpg", + "zKyWRRJQbkM/frame_026.jpg", + "zKyWRRJQbkM/frame_027.jpg", + "zKyWRRJQbkM/frame_028.jpg", + "zKyWRRJQbkM/frame_029.jpg", + "zKyWRRJQbkM/frame_030.jpg", + "zKyWRRJQbkM/frame_031.jpg", + "zKyWRRJQbkM/frame_032.jpg", + "zKyWRRJQbkM/frame_033.jpg", + "zKyWRRJQbkM/frame_034.jpg", + "zKyWRRJQbkM/frame_035.jpg", + "zKyWRRJQbkM/frame_036.jpg", + "zKyWRRJQbkM/frame_037.jpg", + "zKyWRRJQbkM/frame_038.jpg", + "zKyWRRJQbkM/frame_039.jpg", + "zKyWRRJQbkM/frame_040.jpg", + "zKyWRRJQbkM/frame_041.jpg", + "zKyWRRJQbkM/frame_042.jpg", + "zKyWRRJQbkM/frame_043.jpg", + "zKyWRRJQbkM/frame_044.jpg", + "zKyWRRJQbkM/frame_045.jpg", + "zKyWRRJQbkM/frame_046.jpg", + "zKyWRRJQbkM/frame_047.jpg", + "zKyWRRJQbkM/frame_048.jpg", + "zKyWRRJQbkM/frame_049.jpg", + "zKyWRRJQbkM/frame_050.jpg", + "zKyWRRJQbkM/frame_051.jpg", + "zKyWRRJQbkM/frame_052.jpg", + "zKyWRRJQbkM/frame_053.jpg", + "zKyWRRJQbkM/frame_054.jpg", + "zKyWRRJQbkM/frame_055.jpg", + "zKyWRRJQbkM/frame_056.jpg", + "zKyWRRJQbkM/frame_057.jpg", + "zKyWRRJQbkM/frame_058.jpg", + "zKyWRRJQbkM/frame_059.jpg", + "zKyWRRJQbkM/frame_060.jpg", + "zKyWRRJQbkM/frame_061.jpg", + "zKyWRRJQbkM/frame_062.jpg", + "zKyWRRJQbkM/frame_063.jpg", + "zKyWRRJQbkM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video includes a map of the United States with highlighted states, a graph illustrating the historical federal minimum wage rates under the Fair Labor Standards Act, and an image of President Franklin D. Roosevelt, who signed the act into law on June 25, 1938." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/FoodVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/FoodVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..61428272cd764653eeb9f68a5a72e2fe83720185 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/FoodVideoCaptioning/annotation.json @@ -0,0 +1,676 @@ +{ + "task": "FoodVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_foodvideocaptioning_0014", + "input": { + "video_file_list": [ + "AnFxFeH2zTY/frame_001.jpg", + "AnFxFeH2zTY/frame_002.jpg", + "AnFxFeH2zTY/frame_003.jpg", + "AnFxFeH2zTY/frame_004.jpg", + "AnFxFeH2zTY/frame_005.jpg", + "AnFxFeH2zTY/frame_006.jpg", + "AnFxFeH2zTY/frame_007.jpg", + "AnFxFeH2zTY/frame_008.jpg", + "AnFxFeH2zTY/frame_009.jpg", + "AnFxFeH2zTY/frame_010.jpg", + "AnFxFeH2zTY/frame_011.jpg", + "AnFxFeH2zTY/frame_012.jpg", + "AnFxFeH2zTY/frame_013.jpg", + "AnFxFeH2zTY/frame_014.jpg", + "AnFxFeH2zTY/frame_015.jpg", + "AnFxFeH2zTY/frame_016.jpg", + "AnFxFeH2zTY/frame_017.jpg", + "AnFxFeH2zTY/frame_018.jpg", + "AnFxFeH2zTY/frame_019.jpg", + "AnFxFeH2zTY/frame_020.jpg", + "AnFxFeH2zTY/frame_021.jpg", + "AnFxFeH2zTY/frame_022.jpg", + "AnFxFeH2zTY/frame_023.jpg", + "AnFxFeH2zTY/frame_024.jpg", + "AnFxFeH2zTY/frame_025.jpg", + "AnFxFeH2zTY/frame_026.jpg", + "AnFxFeH2zTY/frame_027.jpg", + "AnFxFeH2zTY/frame_028.jpg", + "AnFxFeH2zTY/frame_029.jpg", + "AnFxFeH2zTY/frame_030.jpg", + "AnFxFeH2zTY/frame_031.jpg", + "AnFxFeH2zTY/frame_032.jpg", + "AnFxFeH2zTY/frame_033.jpg", + "AnFxFeH2zTY/frame_034.jpg", + "AnFxFeH2zTY/frame_035.jpg", + "AnFxFeH2zTY/frame_036.jpg", + "AnFxFeH2zTY/frame_037.jpg", + "AnFxFeH2zTY/frame_038.jpg", + "AnFxFeH2zTY/frame_039.jpg", + "AnFxFeH2zTY/frame_040.jpg", + "AnFxFeH2zTY/frame_041.jpg", + "AnFxFeH2zTY/frame_042.jpg", + "AnFxFeH2zTY/frame_043.jpg", + "AnFxFeH2zTY/frame_044.jpg", + "AnFxFeH2zTY/frame_045.jpg", + "AnFxFeH2zTY/frame_046.jpg", + "AnFxFeH2zTY/frame_047.jpg", + "AnFxFeH2zTY/frame_048.jpg", + "AnFxFeH2zTY/frame_049.jpg", + "AnFxFeH2zTY/frame_050.jpg", + "AnFxFeH2zTY/frame_051.jpg", + "AnFxFeH2zTY/frame_052.jpg", + "AnFxFeH2zTY/frame_053.jpg", + "AnFxFeH2zTY/frame_054.jpg", + "AnFxFeH2zTY/frame_055.jpg", + "AnFxFeH2zTY/frame_056.jpg", + "AnFxFeH2zTY/frame_057.jpg", + "AnFxFeH2zTY/frame_058.jpg", + "AnFxFeH2zTY/frame_059.jpg", + "AnFxFeH2zTY/frame_060.jpg", + "AnFxFeH2zTY/frame_061.jpg", + "AnFxFeH2zTY/frame_062.jpg", + "AnFxFeH2zTY/frame_063.jpg", + "AnFxFeH2zTY/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman preparing and eating fried chicken in her kitchen." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0004", + "input": { + "video_file_list": [ + "JBN-k3-noVo/frame_001.jpg", + "JBN-k3-noVo/frame_002.jpg", + "JBN-k3-noVo/frame_003.jpg", + "JBN-k3-noVo/frame_004.jpg", + "JBN-k3-noVo/frame_005.jpg", + "JBN-k3-noVo/frame_006.jpg", + "JBN-k3-noVo/frame_007.jpg", + "JBN-k3-noVo/frame_008.jpg", + "JBN-k3-noVo/frame_009.jpg", + "JBN-k3-noVo/frame_010.jpg", + "JBN-k3-noVo/frame_011.jpg", + "JBN-k3-noVo/frame_012.jpg", + "JBN-k3-noVo/frame_013.jpg", + "JBN-k3-noVo/frame_014.jpg", + "JBN-k3-noVo/frame_015.jpg", + "JBN-k3-noVo/frame_016.jpg", + "JBN-k3-noVo/frame_017.jpg", + "JBN-k3-noVo/frame_018.jpg", + "JBN-k3-noVo/frame_019.jpg", + "JBN-k3-noVo/frame_020.jpg", + "JBN-k3-noVo/frame_021.jpg", + "JBN-k3-noVo/frame_022.jpg", + "JBN-k3-noVo/frame_023.jpg", + "JBN-k3-noVo/frame_024.jpg", + "JBN-k3-noVo/frame_025.jpg", + "JBN-k3-noVo/frame_026.jpg", + "JBN-k3-noVo/frame_027.jpg", + "JBN-k3-noVo/frame_028.jpg", + "JBN-k3-noVo/frame_029.jpg", + "JBN-k3-noVo/frame_030.jpg", + "JBN-k3-noVo/frame_031.jpg", + "JBN-k3-noVo/frame_032.jpg", + "JBN-k3-noVo/frame_033.jpg", + "JBN-k3-noVo/frame_034.jpg", + "JBN-k3-noVo/frame_035.jpg", + "JBN-k3-noVo/frame_036.jpg", + "JBN-k3-noVo/frame_037.jpg", + "JBN-k3-noVo/frame_038.jpg", + "JBN-k3-noVo/frame_039.jpg", + "JBN-k3-noVo/frame_040.jpg", + "JBN-k3-noVo/frame_041.jpg", + "JBN-k3-noVo/frame_042.jpg", + "JBN-k3-noVo/frame_043.jpg", + "JBN-k3-noVo/frame_044.jpg", + "JBN-k3-noVo/frame_045.jpg", + "JBN-k3-noVo/frame_046.jpg", + "JBN-k3-noVo/frame_047.jpg", + "JBN-k3-noVo/frame_048.jpg", + "JBN-k3-noVo/frame_049.jpg", + "JBN-k3-noVo/frame_050.jpg", + "JBN-k3-noVo/frame_051.jpg", + "JBN-k3-noVo/frame_052.jpg", + "JBN-k3-noVo/frame_053.jpg", + "JBN-k3-noVo/frame_054.jpg", + "JBN-k3-noVo/frame_055.jpg", + "JBN-k3-noVo/frame_056.jpg", + "JBN-k3-noVo/frame_057.jpg", + "JBN-k3-noVo/frame_058.jpg", + "JBN-k3-noVo/frame_059.jpg", + "JBN-k3-noVo/frame_060.jpg", + "JBN-k3-noVo/frame_061.jpg", + "JBN-k3-noVo/frame_062.jpg", + "JBN-k3-noVo/frame_063.jpg", + "JBN-k3-noVo/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video demonstrates the steps for preparing spaghetti, which involve boiling water with oil, cooking garlic, onions, and meat, adding sauce, and then combining all the ingredients. The dish is finished by topping it with cheese." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0006", + "input": { + "video_file_list": [ + "u0GSFSvWDG4/frame_001.jpg", + "u0GSFSvWDG4/frame_002.jpg", + "u0GSFSvWDG4/frame_003.jpg", + "u0GSFSvWDG4/frame_004.jpg", + "u0GSFSvWDG4/frame_005.jpg", + "u0GSFSvWDG4/frame_006.jpg", + "u0GSFSvWDG4/frame_007.jpg", + "u0GSFSvWDG4/frame_008.jpg", + "u0GSFSvWDG4/frame_009.jpg", + "u0GSFSvWDG4/frame_010.jpg", + "u0GSFSvWDG4/frame_011.jpg", + "u0GSFSvWDG4/frame_012.jpg", + "u0GSFSvWDG4/frame_013.jpg", + "u0GSFSvWDG4/frame_014.jpg", + "u0GSFSvWDG4/frame_015.jpg", + "u0GSFSvWDG4/frame_016.jpg", + "u0GSFSvWDG4/frame_017.jpg", + "u0GSFSvWDG4/frame_018.jpg", + "u0GSFSvWDG4/frame_019.jpg", + "u0GSFSvWDG4/frame_020.jpg", + "u0GSFSvWDG4/frame_021.jpg", + "u0GSFSvWDG4/frame_022.jpg", + "u0GSFSvWDG4/frame_023.jpg", + "u0GSFSvWDG4/frame_024.jpg", + "u0GSFSvWDG4/frame_025.jpg", + "u0GSFSvWDG4/frame_026.jpg", + "u0GSFSvWDG4/frame_027.jpg", + "u0GSFSvWDG4/frame_028.jpg", + "u0GSFSvWDG4/frame_029.jpg", + "u0GSFSvWDG4/frame_030.jpg", + "u0GSFSvWDG4/frame_031.jpg", + "u0GSFSvWDG4/frame_032.jpg", + "u0GSFSvWDG4/frame_033.jpg", + "u0GSFSvWDG4/frame_034.jpg", + "u0GSFSvWDG4/frame_035.jpg", + "u0GSFSvWDG4/frame_036.jpg", + "u0GSFSvWDG4/frame_037.jpg", + "u0GSFSvWDG4/frame_038.jpg", + "u0GSFSvWDG4/frame_039.jpg", + "u0GSFSvWDG4/frame_040.jpg", + "u0GSFSvWDG4/frame_041.jpg", + "u0GSFSvWDG4/frame_042.jpg", + "u0GSFSvWDG4/frame_043.jpg", + "u0GSFSvWDG4/frame_044.jpg", + "u0GSFSvWDG4/frame_045.jpg", + "u0GSFSvWDG4/frame_046.jpg", + "u0GSFSvWDG4/frame_047.jpg", + "u0GSFSvWDG4/frame_048.jpg", + "u0GSFSvWDG4/frame_049.jpg", + "u0GSFSvWDG4/frame_050.jpg", + "u0GSFSvWDG4/frame_051.jpg", + "u0GSFSvWDG4/frame_052.jpg", + "u0GSFSvWDG4/frame_053.jpg", + "u0GSFSvWDG4/frame_054.jpg", + "u0GSFSvWDG4/frame_055.jpg", + "u0GSFSvWDG4/frame_056.jpg", + "u0GSFSvWDG4/frame_057.jpg", + "u0GSFSvWDG4/frame_058.jpg", + "u0GSFSvWDG4/frame_059.jpg", + "u0GSFSvWDG4/frame_060.jpg", + "u0GSFSvWDG4/frame_061.jpg", + "u0GSFSvWDG4/frame_062.jpg", + "u0GSFSvWDG4/frame_063.jpg", + "u0GSFSvWDG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man dining with friends at a restaurant, savoring dishes like shrimp and lobster. He is wearing an apron and holds up food for the camera." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0022", + "input": { + "video_file_list": [ + "fIacEkP9cLU/frame_001.jpg", + "fIacEkP9cLU/frame_002.jpg", + "fIacEkP9cLU/frame_003.jpg", + "fIacEkP9cLU/frame_004.jpg", + "fIacEkP9cLU/frame_005.jpg", + "fIacEkP9cLU/frame_006.jpg", + "fIacEkP9cLU/frame_007.jpg", + "fIacEkP9cLU/frame_008.jpg", + "fIacEkP9cLU/frame_009.jpg", + "fIacEkP9cLU/frame_010.jpg", + "fIacEkP9cLU/frame_011.jpg", + "fIacEkP9cLU/frame_012.jpg", + "fIacEkP9cLU/frame_013.jpg", + "fIacEkP9cLU/frame_014.jpg", + "fIacEkP9cLU/frame_015.jpg", + "fIacEkP9cLU/frame_016.jpg", + "fIacEkP9cLU/frame_017.jpg", + "fIacEkP9cLU/frame_018.jpg", + "fIacEkP9cLU/frame_019.jpg", + "fIacEkP9cLU/frame_020.jpg", + "fIacEkP9cLU/frame_021.jpg", + "fIacEkP9cLU/frame_022.jpg", + "fIacEkP9cLU/frame_023.jpg", + "fIacEkP9cLU/frame_024.jpg", + "fIacEkP9cLU/frame_025.jpg", + "fIacEkP9cLU/frame_026.jpg", + "fIacEkP9cLU/frame_027.jpg", + "fIacEkP9cLU/frame_028.jpg", + "fIacEkP9cLU/frame_029.jpg", + "fIacEkP9cLU/frame_030.jpg", + "fIacEkP9cLU/frame_031.jpg", + "fIacEkP9cLU/frame_032.jpg", + "fIacEkP9cLU/frame_033.jpg", + "fIacEkP9cLU/frame_034.jpg", + "fIacEkP9cLU/frame_035.jpg", + "fIacEkP9cLU/frame_036.jpg", + "fIacEkP9cLU/frame_037.jpg", + "fIacEkP9cLU/frame_038.jpg", + "fIacEkP9cLU/frame_039.jpg", + "fIacEkP9cLU/frame_040.jpg", + "fIacEkP9cLU/frame_041.jpg", + "fIacEkP9cLU/frame_042.jpg", + "fIacEkP9cLU/frame_043.jpg", + "fIacEkP9cLU/frame_044.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man and a woman drinking from straws, with the woman wearing a white hood and the man wearing a black cap." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0018", + "input": { + "video_file_list": [ + "6gj5l_Y9Wcc/frame_001.jpg", + "6gj5l_Y9Wcc/frame_002.jpg", + "6gj5l_Y9Wcc/frame_003.jpg", + "6gj5l_Y9Wcc/frame_004.jpg", + "6gj5l_Y9Wcc/frame_005.jpg", + "6gj5l_Y9Wcc/frame_006.jpg", + "6gj5l_Y9Wcc/frame_007.jpg", + "6gj5l_Y9Wcc/frame_008.jpg", + "6gj5l_Y9Wcc/frame_009.jpg", + "6gj5l_Y9Wcc/frame_010.jpg", + "6gj5l_Y9Wcc/frame_011.jpg", + "6gj5l_Y9Wcc/frame_012.jpg", + "6gj5l_Y9Wcc/frame_013.jpg", + "6gj5l_Y9Wcc/frame_014.jpg", + "6gj5l_Y9Wcc/frame_015.jpg", + "6gj5l_Y9Wcc/frame_016.jpg", + "6gj5l_Y9Wcc/frame_017.jpg", + "6gj5l_Y9Wcc/frame_018.jpg", + "6gj5l_Y9Wcc/frame_019.jpg", + "6gj5l_Y9Wcc/frame_020.jpg", + "6gj5l_Y9Wcc/frame_021.jpg", + "6gj5l_Y9Wcc/frame_022.jpg", + "6gj5l_Y9Wcc/frame_023.jpg", + "6gj5l_Y9Wcc/frame_024.jpg", + "6gj5l_Y9Wcc/frame_025.jpg", + "6gj5l_Y9Wcc/frame_026.jpg", + "6gj5l_Y9Wcc/frame_027.jpg", + "6gj5l_Y9Wcc/frame_028.jpg", + "6gj5l_Y9Wcc/frame_029.jpg", + "6gj5l_Y9Wcc/frame_030.jpg", + "6gj5l_Y9Wcc/frame_031.jpg", + "6gj5l_Y9Wcc/frame_032.jpg", + "6gj5l_Y9Wcc/frame_033.jpg", + "6gj5l_Y9Wcc/frame_034.jpg", + "6gj5l_Y9Wcc/frame_035.jpg", + "6gj5l_Y9Wcc/frame_036.jpg", + "6gj5l_Y9Wcc/frame_037.jpg", + "6gj5l_Y9Wcc/frame_038.jpg", + "6gj5l_Y9Wcc/frame_039.jpg", + "6gj5l_Y9Wcc/frame_040.jpg", + "6gj5l_Y9Wcc/frame_041.jpg", + "6gj5l_Y9Wcc/frame_042.jpg", + "6gj5l_Y9Wcc/frame_043.jpg", + "6gj5l_Y9Wcc/frame_044.jpg", + "6gj5l_Y9Wcc/frame_045.jpg", + "6gj5l_Y9Wcc/frame_046.jpg", + "6gj5l_Y9Wcc/frame_047.jpg", + "6gj5l_Y9Wcc/frame_048.jpg", + "6gj5l_Y9Wcc/frame_049.jpg", + "6gj5l_Y9Wcc/frame_050.jpg", + "6gj5l_Y9Wcc/frame_051.jpg", + "6gj5l_Y9Wcc/frame_052.jpg", + "6gj5l_Y9Wcc/frame_053.jpg", + "6gj5l_Y9Wcc/frame_054.jpg", + "6gj5l_Y9Wcc/frame_055.jpg", + "6gj5l_Y9Wcc/frame_056.jpg", + "6gj5l_Y9Wcc/frame_057.jpg", + "6gj5l_Y9Wcc/frame_058.jpg", + "6gj5l_Y9Wcc/frame_059.jpg", + "6gj5l_Y9Wcc/frame_060.jpg", + "6gj5l_Y9Wcc/frame_061.jpg", + "6gj5l_Y9Wcc/frame_062.jpg", + "6gj5l_Y9Wcc/frame_063.jpg", + "6gj5l_Y9Wcc/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man speaking into the camera, with scenes then showing food being prepared and individuals dining together." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0013", + "input": { + "video_file_list": [ + "-9mIKCYg2vU/frame_001.jpg", + "-9mIKCYg2vU/frame_002.jpg", + "-9mIKCYg2vU/frame_003.jpg", + "-9mIKCYg2vU/frame_004.jpg", + "-9mIKCYg2vU/frame_005.jpg", + "-9mIKCYg2vU/frame_006.jpg", + "-9mIKCYg2vU/frame_007.jpg", + "-9mIKCYg2vU/frame_008.jpg", + "-9mIKCYg2vU/frame_009.jpg", + "-9mIKCYg2vU/frame_010.jpg", + "-9mIKCYg2vU/frame_011.jpg", + "-9mIKCYg2vU/frame_012.jpg", + "-9mIKCYg2vU/frame_013.jpg", + "-9mIKCYg2vU/frame_014.jpg", + "-9mIKCYg2vU/frame_015.jpg", + "-9mIKCYg2vU/frame_016.jpg", + "-9mIKCYg2vU/frame_017.jpg", + "-9mIKCYg2vU/frame_018.jpg", + "-9mIKCYg2vU/frame_019.jpg", + "-9mIKCYg2vU/frame_020.jpg", + "-9mIKCYg2vU/frame_021.jpg", + "-9mIKCYg2vU/frame_022.jpg", + "-9mIKCYg2vU/frame_023.jpg", + "-9mIKCYg2vU/frame_024.jpg", + "-9mIKCYg2vU/frame_025.jpg", + "-9mIKCYg2vU/frame_026.jpg", + "-9mIKCYg2vU/frame_027.jpg", + "-9mIKCYg2vU/frame_028.jpg", + "-9mIKCYg2vU/frame_029.jpg", + "-9mIKCYg2vU/frame_030.jpg", + "-9mIKCYg2vU/frame_031.jpg", + "-9mIKCYg2vU/frame_032.jpg", + "-9mIKCYg2vU/frame_033.jpg", + "-9mIKCYg2vU/frame_034.jpg", + "-9mIKCYg2vU/frame_035.jpg", + "-9mIKCYg2vU/frame_036.jpg", + "-9mIKCYg2vU/frame_037.jpg", + "-9mIKCYg2vU/frame_038.jpg", + "-9mIKCYg2vU/frame_039.jpg", + "-9mIKCYg2vU/frame_040.jpg", + "-9mIKCYg2vU/frame_041.jpg", + "-9mIKCYg2vU/frame_042.jpg", + "-9mIKCYg2vU/frame_043.jpg", + "-9mIKCYg2vU/frame_044.jpg", + "-9mIKCYg2vU/frame_045.jpg", + "-9mIKCYg2vU/frame_046.jpg", + "-9mIKCYg2vU/frame_047.jpg", + "-9mIKCYg2vU/frame_048.jpg", + "-9mIKCYg2vU/frame_049.jpg", + "-9mIKCYg2vU/frame_050.jpg", + "-9mIKCYg2vU/frame_051.jpg", + "-9mIKCYg2vU/frame_052.jpg", + "-9mIKCYg2vU/frame_053.jpg", + "-9mIKCYg2vU/frame_054.jpg", + "-9mIKCYg2vU/frame_055.jpg", + "-9mIKCYg2vU/frame_056.jpg", + "-9mIKCYg2vU/frame_057.jpg", + "-9mIKCYg2vU/frame_058.jpg", + "-9mIKCYg2vU/frame_059.jpg", + "-9mIKCYg2vU/frame_060.jpg", + "-9mIKCYg2vU/frame_061.jpg", + "-9mIKCYg2vU/frame_062.jpg", + "-9mIKCYg2vU/frame_063.jpg", + "-9mIKCYg2vU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man cooking and eating seafood on a boat. He holds up different types of seafood, such as crabs and clams, and enjoys them with rice. The footage captures his pleasure in the food and the surrounding scenery." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0024", + "input": { + "video_file_list": [ + "nRebRhmeMk0_processed/frame_001.jpg", + "nRebRhmeMk0_processed/frame_002.jpg", + "nRebRhmeMk0_processed/frame_003.jpg", + "nRebRhmeMk0_processed/frame_004.jpg", + "nRebRhmeMk0_processed/frame_005.jpg", + "nRebRhmeMk0_processed/frame_006.jpg", + "nRebRhmeMk0_processed/frame_007.jpg", + "nRebRhmeMk0_processed/frame_008.jpg", + "nRebRhmeMk0_processed/frame_009.jpg", + "nRebRhmeMk0_processed/frame_010.jpg", + "nRebRhmeMk0_processed/frame_011.jpg", + "nRebRhmeMk0_processed/frame_012.jpg", + "nRebRhmeMk0_processed/frame_013.jpg", + "nRebRhmeMk0_processed/frame_014.jpg", + "nRebRhmeMk0_processed/frame_015.jpg", + "nRebRhmeMk0_processed/frame_016.jpg", + "nRebRhmeMk0_processed/frame_017.jpg", + "nRebRhmeMk0_processed/frame_018.jpg", + "nRebRhmeMk0_processed/frame_019.jpg", + "nRebRhmeMk0_processed/frame_020.jpg", + "nRebRhmeMk0_processed/frame_021.jpg", + "nRebRhmeMk0_processed/frame_022.jpg", + "nRebRhmeMk0_processed/frame_023.jpg", + "nRebRhmeMk0_processed/frame_024.jpg", + "nRebRhmeMk0_processed/frame_025.jpg", + "nRebRhmeMk0_processed/frame_026.jpg", + "nRebRhmeMk0_processed/frame_027.jpg", + "nRebRhmeMk0_processed/frame_028.jpg", + "nRebRhmeMk0_processed/frame_029.jpg", + "nRebRhmeMk0_processed/frame_030.jpg", + "nRebRhmeMk0_processed/frame_031.jpg", + "nRebRhmeMk0_processed/frame_032.jpg", + "nRebRhmeMk0_processed/frame_033.jpg", + "nRebRhmeMk0_processed/frame_034.jpg", + "nRebRhmeMk0_processed/frame_035.jpg", + "nRebRhmeMk0_processed/frame_036.jpg", + "nRebRhmeMk0_processed/frame_037.jpg", + "nRebRhmeMk0_processed/frame_038.jpg", + "nRebRhmeMk0_processed/frame_039.jpg", + "nRebRhmeMk0_processed/frame_040.jpg", + "nRebRhmeMk0_processed/frame_041.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing Chashu, a Japanese dish consisting of boiled pork belly. Sauce is applied to the meat, followed by cooking it with a blowtorch." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0016", + "input": { + "video_file_list": [ + "PEsqPX-PWOQ/frame_001.jpg", + "PEsqPX-PWOQ/frame_002.jpg", + "PEsqPX-PWOQ/frame_003.jpg", + "PEsqPX-PWOQ/frame_004.jpg", + "PEsqPX-PWOQ/frame_005.jpg", + "PEsqPX-PWOQ/frame_006.jpg", + "PEsqPX-PWOQ/frame_007.jpg", + "PEsqPX-PWOQ/frame_008.jpg", + "PEsqPX-PWOQ/frame_009.jpg", + "PEsqPX-PWOQ/frame_010.jpg", + "PEsqPX-PWOQ/frame_011.jpg", + "PEsqPX-PWOQ/frame_012.jpg", + "PEsqPX-PWOQ/frame_013.jpg", + "PEsqPX-PWOQ/frame_014.jpg", + "PEsqPX-PWOQ/frame_015.jpg", + "PEsqPX-PWOQ/frame_016.jpg", + "PEsqPX-PWOQ/frame_017.jpg", + "PEsqPX-PWOQ/frame_018.jpg", + "PEsqPX-PWOQ/frame_019.jpg", + "PEsqPX-PWOQ/frame_020.jpg", + "PEsqPX-PWOQ/frame_021.jpg", + "PEsqPX-PWOQ/frame_022.jpg", + "PEsqPX-PWOQ/frame_023.jpg", + "PEsqPX-PWOQ/frame_024.jpg", + "PEsqPX-PWOQ/frame_025.jpg", + "PEsqPX-PWOQ/frame_026.jpg", + "PEsqPX-PWOQ/frame_027.jpg", + "PEsqPX-PWOQ/frame_028.jpg", + "PEsqPX-PWOQ/frame_029.jpg", + "PEsqPX-PWOQ/frame_030.jpg", + "PEsqPX-PWOQ/frame_031.jpg", + "PEsqPX-PWOQ/frame_032.jpg", + "PEsqPX-PWOQ/frame_033.jpg", + "PEsqPX-PWOQ/frame_034.jpg", + "PEsqPX-PWOQ/frame_035.jpg", + "PEsqPX-PWOQ/frame_036.jpg", + "PEsqPX-PWOQ/frame_037.jpg", + "PEsqPX-PWOQ/frame_038.jpg", + "PEsqPX-PWOQ/frame_039.jpg", + "PEsqPX-PWOQ/frame_040.jpg", + "PEsqPX-PWOQ/frame_041.jpg", + "PEsqPX-PWOQ/frame_042.jpg", + "PEsqPX-PWOQ/frame_043.jpg", + "PEsqPX-PWOQ/frame_044.jpg", + "PEsqPX-PWOQ/frame_045.jpg", + "PEsqPX-PWOQ/frame_046.jpg", + "PEsqPX-PWOQ/frame_047.jpg", + "PEsqPX-PWOQ/frame_048.jpg", + "PEsqPX-PWOQ/frame_049.jpg", + "PEsqPX-PWOQ/frame_050.jpg", + "PEsqPX-PWOQ/frame_051.jpg", + "PEsqPX-PWOQ/frame_052.jpg", + "PEsqPX-PWOQ/frame_053.jpg", + "PEsqPX-PWOQ/frame_054.jpg", + "PEsqPX-PWOQ/frame_055.jpg", + "PEsqPX-PWOQ/frame_056.jpg", + "PEsqPX-PWOQ/frame_057.jpg", + "PEsqPX-PWOQ/frame_058.jpg", + "PEsqPX-PWOQ/frame_059.jpg", + "PEsqPX-PWOQ/frame_060.jpg", + "PEsqPX-PWOQ/frame_061.jpg", + "PEsqPX-PWOQ/frame_062.jpg", + "PEsqPX-PWOQ/frame_063.jpg", + "PEsqPX-PWOQ/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man cooking and preparing foods like meat, corn, and sandwiches. It also shows someone holding a cake with candles and cutting meat. Additionally, there are images of a spam box and a man in black gloves cutting food." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0012", + "input": { + "video_file_list": [ + "wiOxt4J5zaM/frame_001.jpg", + "wiOxt4J5zaM/frame_002.jpg", + "wiOxt4J5zaM/frame_003.jpg", + "wiOxt4J5zaM/frame_004.jpg", + "wiOxt4J5zaM/frame_005.jpg", + "wiOxt4J5zaM/frame_006.jpg", + "wiOxt4J5zaM/frame_007.jpg", + "wiOxt4J5zaM/frame_008.jpg", + "wiOxt4J5zaM/frame_009.jpg", + "wiOxt4J5zaM/frame_010.jpg", + "wiOxt4J5zaM/frame_011.jpg", + "wiOxt4J5zaM/frame_012.jpg", + "wiOxt4J5zaM/frame_013.jpg", + "wiOxt4J5zaM/frame_014.jpg", + "wiOxt4J5zaM/frame_015.jpg", + "wiOxt4J5zaM/frame_016.jpg", + "wiOxt4J5zaM/frame_017.jpg", + "wiOxt4J5zaM/frame_018.jpg", + "wiOxt4J5zaM/frame_019.jpg", + "wiOxt4J5zaM/frame_020.jpg", + "wiOxt4J5zaM/frame_021.jpg", + "wiOxt4J5zaM/frame_022.jpg", + "wiOxt4J5zaM/frame_023.jpg", + "wiOxt4J5zaM/frame_024.jpg", + "wiOxt4J5zaM/frame_025.jpg", + "wiOxt4J5zaM/frame_026.jpg", + "wiOxt4J5zaM/frame_027.jpg", + "wiOxt4J5zaM/frame_028.jpg", + "wiOxt4J5zaM/frame_029.jpg", + "wiOxt4J5zaM/frame_030.jpg", + "wiOxt4J5zaM/frame_031.jpg", + "wiOxt4J5zaM/frame_032.jpg", + "wiOxt4J5zaM/frame_033.jpg", + "wiOxt4J5zaM/frame_034.jpg", + "wiOxt4J5zaM/frame_035.jpg", + "wiOxt4J5zaM/frame_036.jpg", + "wiOxt4J5zaM/frame_037.jpg", + "wiOxt4J5zaM/frame_038.jpg", + "wiOxt4J5zaM/frame_039.jpg", + "wiOxt4J5zaM/frame_040.jpg", + "wiOxt4J5zaM/frame_041.jpg", + "wiOxt4J5zaM/frame_042.jpg", + "wiOxt4J5zaM/frame_043.jpg", + "wiOxt4J5zaM/frame_044.jpg", + "wiOxt4J5zaM/frame_045.jpg", + "wiOxt4J5zaM/frame_046.jpg", + "wiOxt4J5zaM/frame_047.jpg", + "wiOxt4J5zaM/frame_048.jpg", + "wiOxt4J5zaM/frame_049.jpg", + "wiOxt4J5zaM/frame_050.jpg", + "wiOxt4J5zaM/frame_051.jpg", + "wiOxt4J5zaM/frame_052.jpg", + "wiOxt4J5zaM/frame_053.jpg", + "wiOxt4J5zaM/frame_054.jpg", + "wiOxt4J5zaM/frame_055.jpg", + "wiOxt4J5zaM/frame_056.jpg", + "wiOxt4J5zaM/frame_057.jpg", + "wiOxt4J5zaM/frame_058.jpg", + "wiOxt4J5zaM/frame_059.jpg", + "wiOxt4J5zaM/frame_060.jpg", + "wiOxt4J5zaM/frame_061.jpg", + "wiOxt4J5zaM/frame_062.jpg", + "wiOxt4J5zaM/frame_063.jpg", + "wiOxt4J5zaM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man preparing a cocktail by adding ice and pouring several liquids into a glass. He stirs the mixture before transferring it to another glass. The video concludes with a close-up of the final drink." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0005", + "input": { + "video_file_list": [ + "PhS5ZuOukIo/frame_001.jpg", + "PhS5ZuOukIo/frame_002.jpg", + "PhS5ZuOukIo/frame_003.jpg", + "PhS5ZuOukIo/frame_004.jpg", + "PhS5ZuOukIo/frame_005.jpg", + "PhS5ZuOukIo/frame_006.jpg", + "PhS5ZuOukIo/frame_007.jpg", + "PhS5ZuOukIo/frame_008.jpg", + "PhS5ZuOukIo/frame_009.jpg", + "PhS5ZuOukIo/frame_010.jpg", + "PhS5ZuOukIo/frame_011.jpg", + "PhS5ZuOukIo/frame_012.jpg", + "PhS5ZuOukIo/frame_013.jpg", + "PhS5ZuOukIo/frame_014.jpg", + "PhS5ZuOukIo/frame_015.jpg", + "PhS5ZuOukIo/frame_016.jpg", + "PhS5ZuOukIo/frame_017.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing cookies by combining ingredients and shaping them into balls. They are wearing an \"obey\" shirt and briefly stand on their head. It also features a bowl of cereal and a person holding a chocolate chip cookie." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/GameVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/GameVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c4b2c68335308ae0c7d7ee12bf75e87718e5f791 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/GameVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "GameVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_gamevideoquestionanswering_0091", + "input": { + "video_file_list": [ + "wThUTFkEza8/0.jpg", + "wThUTFkEza8/1.jpg", + "wThUTFkEza8/2.jpg", + "wThUTFkEza8/3.jpg", + "wThUTFkEza8/4.jpg", + "wThUTFkEza8/5.jpg", + 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"Can you describe the entire video in detail from start to finish, including all key actions and events?" + }, + "output": { + "text": "The video begins with a slideshow presenting Tal Fishmen, who is wearing a black shirt and seated in front of a microphone. Tal starts an engaging and playful segment called 'Guess My Name,' where he answers various questions to challenge viewers to guess his name correctly. During this interactive game, Tal shares personal details, highlighting the uniqueness of his name. He answers questions about his gender, his birth decade (the 90s), and his proficiency in two languages. Tal also describes himself as supportive, according to what his best friend might say, and rates his romantic inclination as a 5 on a scale from 1 to 6. He reveals he has never tried drugs and prefers listening to stories rather than reading them. Despite giving informative responses, the climax of the game is the surprising guess that his name is Matthew, which he humorously confirms as incorrect. This adds a playful twist to the process. The video concludes with Tal bidding farewell to the audience with a closing statement: 'That's all, guys. See you next time.'" + } + }, + { + "id": "vc_closeset_gamevideoquestionanswering_0126", + "input": { + "video_file_list": [ + "3tLPXwlSHLI/0.jpg", + "3tLPXwlSHLI/1.jpg", + "3tLPXwlSHLI/2.jpg", + "3tLPXwlSHLI/3.jpg", + "3tLPXwlSHLI/4.jpg", + "3tLPXwlSHLI/5.jpg", + "3tLPXwlSHLI/6.jpg", + "3tLPXwlSHLI/7.jpg", + "3tLPXwlSHLI/8.jpg", + "3tLPXwlSHLI/9.jpg", + "3tLPXwlSHLI/10.jpg", + "3tLPXwlSHLI/11.jpg", + "3tLPXwlSHLI/12.jpg", + "3tLPXwlSHLI/13.jpg", + "3tLPXwlSHLI/14.jpg", + "3tLPXwlSHLI/15.jpg", + "3tLPXwlSHLI/16.jpg", + "3tLPXwlSHLI/17.jpg", + "3tLPXwlSHLI/18.jpg", + "3tLPXwlSHLI/19.jpg", + "3tLPXwlSHLI/20.jpg", + "3tLPXwlSHLI/21.jpg", + "3tLPXwlSHLI/22.jpg", + "3tLPXwlSHLI/23.jpg", + "3tLPXwlSHLI/24.jpg", + "3tLPXwlSHLI/25.jpg", + "3tLPXwlSHLI/26.jpg", + "3tLPXwlSHLI/27.jpg", + "3tLPXwlSHLI/28.jpg", + "3tLPXwlSHLI/29.jpg", + "3tLPXwlSHLI/30.jpg", + "3tLPXwlSHLI/31.jpg", + "3tLPXwlSHLI/32.jpg", + "3tLPXwlSHLI/33.jpg", + "3tLPXwlSHLI/34.jpg", + "3tLPXwlSHLI/35.jpg", + "3tLPXwlSHLI/36.jpg", + "3tLPXwlSHLI/37.jpg", + "3tLPXwlSHLI/38.jpg", + "3tLPXwlSHLI/39.jpg", + "3tLPXwlSHLI/40.jpg", + "3tLPXwlSHLI/41.jpg", + "3tLPXwlSHLI/42.jpg", + "3tLPXwlSHLI/43.jpg", + "3tLPXwlSHLI/44.jpg", + "3tLPXwlSHLI/45.jpg", + "3tLPXwlSHLI/46.jpg", + "3tLPXwlSHLI/47.jpg", + "3tLPXwlSHLI/48.jpg", + "3tLPXwlSHLI/49.jpg", + "3tLPXwlSHLI/50.jpg", + "3tLPXwlSHLI/51.jpg", + "3tLPXwlSHLI/52.jpg", + "3tLPXwlSHLI/53.jpg", + "3tLPXwlSHLI/54.jpg", + "3tLPXwlSHLI/55.jpg", + "3tLPXwlSHLI/56.jpg", + "3tLPXwlSHLI/57.jpg", + "3tLPXwlSHLI/58.jpg", + "3tLPXwlSHLI/59.jpg", + "3tLPXwlSHLI/60.jpg", + "3tLPXwlSHLI/61.jpg", + "3tLPXwlSHLI/62.jpg", + "3tLPXwlSHLI/63.jpg" + ], + "prompt": "Why does the narrator provide step-by-step demonstrations throughout the video?" + }, + "output": { + "text": "The narrator provides step-by-step demonstrations to guide players through the intricacies of gameplay, offering insights into strategies, controls, and essential features." + } + }, + { + "id": "vc_closeset_gamevideoquestionanswering_0115", + "input": { + "video_file_list": [ + "hSkQMovdpN4/0.jpg", + "hSkQMovdpN4/1.jpg", + "hSkQMovdpN4/2.jpg", + "hSkQMovdpN4/3.jpg", + "hSkQMovdpN4/4.jpg", + "hSkQMovdpN4/5.jpg", + "hSkQMovdpN4/6.jpg", + "hSkQMovdpN4/7.jpg", + "hSkQMovdpN4/8.jpg", + "hSkQMovdpN4/9.jpg", + "hSkQMovdpN4/10.jpg", + "hSkQMovdpN4/11.jpg", + "hSkQMovdpN4/12.jpg", + "hSkQMovdpN4/13.jpg", + "hSkQMovdpN4/14.jpg", + "hSkQMovdpN4/15.jpg", + "hSkQMovdpN4/16.jpg", + "hSkQMovdpN4/17.jpg", + "hSkQMovdpN4/18.jpg", + "hSkQMovdpN4/19.jpg", + "hSkQMovdpN4/20.jpg", + "hSkQMovdpN4/21.jpg", + "hSkQMovdpN4/22.jpg", + "hSkQMovdpN4/23.jpg", + "hSkQMovdpN4/24.jpg", + "hSkQMovdpN4/25.jpg", + "hSkQMovdpN4/26.jpg", + "hSkQMovdpN4/27.jpg", + "hSkQMovdpN4/28.jpg", + "hSkQMovdpN4/29.jpg", + "hSkQMovdpN4/30.jpg", + "hSkQMovdpN4/31.jpg", + "hSkQMovdpN4/32.jpg", + "hSkQMovdpN4/33.jpg", + "hSkQMovdpN4/34.jpg", + "hSkQMovdpN4/35.jpg", + "hSkQMovdpN4/36.jpg", + "hSkQMovdpN4/37.jpg", + "hSkQMovdpN4/38.jpg", + "hSkQMovdpN4/39.jpg", + "hSkQMovdpN4/40.jpg", + "hSkQMovdpN4/41.jpg", + "hSkQMovdpN4/42.jpg", + "hSkQMovdpN4/43.jpg", + "hSkQMovdpN4/44.jpg", + "hSkQMovdpN4/45.jpg", + "hSkQMovdpN4/46.jpg", + "hSkQMovdpN4/47.jpg", + "hSkQMovdpN4/48.jpg", + "hSkQMovdpN4/49.jpg", + "hSkQMovdpN4/50.jpg", + "hSkQMovdpN4/51.jpg", + "hSkQMovdpN4/52.jpg", + "hSkQMovdpN4/53.jpg", + "hSkQMovdpN4/54.jpg", + "hSkQMovdpN4/55.jpg", + "hSkQMovdpN4/56.jpg", + "hSkQMovdpN4/57.jpg", + "hSkQMovdpN4/58.jpg", + "hSkQMovdpN4/59.jpg", + "hSkQMovdpN4/60.jpg", + "hSkQMovdpN4/61.jpg", + "hSkQMovdpN4/62.jpg", + "hSkQMovdpN4/63.jpg" + ], + "prompt": "Can you provide a detailed walkthrough of the entire video from start to finish?" + }, + "output": { + "text": "The video begins with a visual display showcasing the title \"Panic Knife Doll Crysis 3.\" As the narrator attempts to launch the game, they repeatedly encounter an error message stating \"Crysis 3 stopped working.\" To address this issue, the video outlines ten troubleshooting steps. First, it advises updating your graphics card drivers by visiting the NVIDIA website, navigating to the \"Drivers\" tab, selecting the appropriate GeForce drivers for your system, downloading, and installing the driver. Second, it recommends updating Windows by clicking on the Start button, searching for \"Windows Update,\" and installing any available updates, followed by restarting your computer. Third, it suggests cleaning out the temporary folder by searching for \"temp\" in the search box, selecting all files in the temp folder, and deleting them. Fourth, it advises checking the firewall settings to ensure that Crysis 3 is allowed through Windows Firewall by searching for \"allow the program through Windows Firewall\" and making sure there is a check mark next to Crysis 3. Fifth, it recommends temporarily disabling antivirus software to see if it causes conflicts with Crysis 3. Sixth, it suggests using an optical drive instead of a solid-state drive (SSD) if possible. Seventh, it advises performing a clean boot by pressing the Windows key + R, typing \"msconfig,\" hitting OK, then going to the Services tab to hide all Microsoft services. Eighth, it suggests disabling Cyborg Ambx lights by opening the Ambx control panel, configuring the Ambx software, and unchecking the box labeled \"enable Ambx.\" Ninth, it recommends considering repairing the installation of Crysis 3 to fix any corrupted files or settings. Finally, the tenth step advises turning off unnecessary programs running in the background that may be consuming system resources and causing conflicts with Crysis 3. In summary, the video provides a systematic approach to troubleshooting and resolving issues with launching Crysis 3, offering step-by-step instructions for updating drivers, software, and settings, as well as optimizing system configurations for optimal performance." + } + }, + { + "id": "vc_closeset_gamevideoquestionanswering_0018", + "input": { + "video_file_list": [ + "7FUa-3kgnsU/0.jpg", + "7FUa-3kgnsU/1.jpg", + "7FUa-3kgnsU/2.jpg", + "7FUa-3kgnsU/3.jpg", + "7FUa-3kgnsU/4.jpg", + "7FUa-3kgnsU/5.jpg", + "7FUa-3kgnsU/6.jpg", + "7FUa-3kgnsU/7.jpg", + "7FUa-3kgnsU/8.jpg", + "7FUa-3kgnsU/9.jpg", + "7FUa-3kgnsU/10.jpg", + "7FUa-3kgnsU/11.jpg", + "7FUa-3kgnsU/12.jpg", + "7FUa-3kgnsU/13.jpg", + "7FUa-3kgnsU/14.jpg", + "7FUa-3kgnsU/15.jpg", + "7FUa-3kgnsU/16.jpg", + "7FUa-3kgnsU/17.jpg", + "7FUa-3kgnsU/18.jpg", + "7FUa-3kgnsU/19.jpg", + "7FUa-3kgnsU/20.jpg", + "7FUa-3kgnsU/21.jpg", + "7FUa-3kgnsU/22.jpg", + "7FUa-3kgnsU/23.jpg", + "7FUa-3kgnsU/24.jpg", + "7FUa-3kgnsU/25.jpg", + "7FUa-3kgnsU/26.jpg", + "7FUa-3kgnsU/27.jpg", + "7FUa-3kgnsU/28.jpg", + "7FUa-3kgnsU/29.jpg", + "7FUa-3kgnsU/30.jpg", + "7FUa-3kgnsU/31.jpg", + "7FUa-3kgnsU/32.jpg", + "7FUa-3kgnsU/33.jpg", + "7FUa-3kgnsU/34.jpg", + "7FUa-3kgnsU/35.jpg", + "7FUa-3kgnsU/36.jpg", + "7FUa-3kgnsU/37.jpg", + "7FUa-3kgnsU/38.jpg", + "7FUa-3kgnsU/39.jpg", + "7FUa-3kgnsU/40.jpg", + "7FUa-3kgnsU/41.jpg", + "7FUa-3kgnsU/42.jpg", + "7FUa-3kgnsU/43.jpg", + "7FUa-3kgnsU/44.jpg", + "7FUa-3kgnsU/45.jpg", + "7FUa-3kgnsU/46.jpg", + "7FUa-3kgnsU/47.jpg", + "7FUa-3kgnsU/48.jpg", + "7FUa-3kgnsU/49.jpg", + "7FUa-3kgnsU/50.jpg", + "7FUa-3kgnsU/51.jpg", + "7FUa-3kgnsU/52.jpg", + "7FUa-3kgnsU/53.jpg", + "7FUa-3kgnsU/54.jpg", + "7FUa-3kgnsU/55.jpg", + "7FUa-3kgnsU/56.jpg", + "7FUa-3kgnsU/57.jpg", + "7FUa-3kgnsU/58.jpg", + "7FUa-3kgnsU/59.jpg", + "7FUa-3kgnsU/60.jpg", + "7FUa-3kgnsU/61.jpg", + "7FUa-3kgnsU/62.jpg", + "7FUa-3kgnsU/63.jpg" + ], + "prompt": "What happens at the beginning of the video?" + }, + "output": { + "text": "The video commences by featuring selected comments from viewers of the Visno channel's previous video." + } + }, + { + "id": "vc_closeset_gamevideoquestionanswering_0083", + "input": { + "video_file_list": [ + "IYU0ybktM4w/0.jpg", + "IYU0ybktM4w/1.jpg", + "IYU0ybktM4w/2.jpg", + "IYU0ybktM4w/3.jpg", + "IYU0ybktM4w/4.jpg", + "IYU0ybktM4w/5.jpg", + "IYU0ybktM4w/6.jpg", + "IYU0ybktM4w/7.jpg", + "IYU0ybktM4w/8.jpg", + "IYU0ybktM4w/9.jpg", + "IYU0ybktM4w/10.jpg", + "IYU0ybktM4w/11.jpg", + "IYU0ybktM4w/12.jpg", + "IYU0ybktM4w/13.jpg", + "IYU0ybktM4w/14.jpg", + "IYU0ybktM4w/15.jpg", + "IYU0ybktM4w/16.jpg", + "IYU0ybktM4w/17.jpg", + "IYU0ybktM4w/18.jpg", + "IYU0ybktM4w/19.jpg", + "IYU0ybktM4w/20.jpg", + "IYU0ybktM4w/21.jpg", + "IYU0ybktM4w/22.jpg", + "IYU0ybktM4w/23.jpg", + "IYU0ybktM4w/24.jpg", + "IYU0ybktM4w/25.jpg", + "IYU0ybktM4w/26.jpg", + "IYU0ybktM4w/27.jpg", + "IYU0ybktM4w/28.jpg", + "IYU0ybktM4w/29.jpg", + "IYU0ybktM4w/30.jpg", + "IYU0ybktM4w/31.jpg", + "IYU0ybktM4w/32.jpg", + "IYU0ybktM4w/33.jpg", + "IYU0ybktM4w/34.jpg", + "IYU0ybktM4w/35.jpg", + "IYU0ybktM4w/36.jpg", + "IYU0ybktM4w/37.jpg", + "IYU0ybktM4w/38.jpg", + "IYU0ybktM4w/39.jpg", + "IYU0ybktM4w/40.jpg", + "IYU0ybktM4w/41.jpg", + "IYU0ybktM4w/42.jpg", + "IYU0ybktM4w/43.jpg", + "IYU0ybktM4w/44.jpg", + "IYU0ybktM4w/45.jpg", + "IYU0ybktM4w/46.jpg", + "IYU0ybktM4w/47.jpg", + "IYU0ybktM4w/48.jpg", + "IYU0ybktM4w/49.jpg", + "IYU0ybktM4w/50.jpg", + "IYU0ybktM4w/51.jpg", + "IYU0ybktM4w/52.jpg", + "IYU0ybktM4w/53.jpg", + "IYU0ybktM4w/54.jpg", + "IYU0ybktM4w/55.jpg", + "IYU0ybktM4w/56.jpg", + "IYU0ybktM4w/57.jpg", + "IYU0ybktM4w/58.jpg", + "IYU0ybktM4w/59.jpg", + "IYU0ybktM4w/60.jpg", + "IYU0ybktM4w/61.jpg", + "IYU0ybktM4w/62.jpg", + "IYU0ybktM4w/63.jpg" + ], + "prompt": "Can you describe the entire video in detail from the beginning to the end, covering all the major aspects, features, and gameplay demonstrations that are discussed?" + }, + "output": { + "text": "The video opens with a visual presentation of gameplay by 'The Ludovico Treatment: Elit3Killers.' The narrator begins by providing an in-depth demonstration of how to play the game, showcasing its mechanics, features, and overall gameplay experience. Throughout the video, viewers are guided through various aspects of the game, including the controls, objectives, and challenges. The narrator discusses the player's role within the game, the environment in which it is set, and the primary goals or missions that players must accomplish. The narrator also highlights key features of the game, such as customizable characters, unique abilities or weapons, different levels or stages, and multiplayer capabilities. Additionally, the video provides insight into the graphics, sound effects, and user interface to give viewers a comprehensive understanding of the gaming experience. Furthermore, the video explains how the game operates, including any distinctive mechanics or gameplay elements that set it apart from similar titles. This may involve details on the game's physics engine, artificial intelligence behavior, or other technical aspects that contribute to its immersive and engaging gameplay. Overall, the video offers a detailed demonstration of 'The Ludovico Treatment: Elit3Killers,' providing viewers with a thorough understanding of its gameplay, features, and mechanics. The presentation is structured and informative, ensuring that viewers gain a complete overview of the game's content and functionality." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/GeneralObjectTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/GeneralObjectTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..373f76084ee37c3d64dd8d8d2f6ae42db43d18b1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/GeneralObjectTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, vot video, others", + "data_source": "VOT2022", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1117", + "input": { + "video_folder": "./images/1117", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1212", + "input": { + "video_folder": "./images/1212", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0117", + "input": { + "video_folder": "./images/0117", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0596", + "input": { + "video_folder": "./images/0596", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0777", + "input": { + "video_folder": "./images/0777", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/GeographyVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/GeographyVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ea67749a5242b90146eabfc50c200b9cdda9e257 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/GeographyVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "GeographyVideoQuestionAnswering", + "data_source": "wildqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_geographyvideoquestionanswering_0003", + "input": { + "video_file_list": [ + "76/0.jpg", + "76/1.jpg", + "76/2.jpg", + "76/3.jpg", + "76/4.jpg", + "76/5.jpg", + "76/6.jpg", + "76/7.jpg", + "76/8.jpg", + "76/9.jpg", + "76/10.jpg", + "76/11.jpg", + "76/12.jpg", + "76/13.jpg", + "76/14.jpg", + "76/15.jpg", + "76/16.jpg", + "76/17.jpg", + "76/18.jpg", + "76/19.jpg", + "76/20.jpg", + "76/21.jpg", + "76/22.jpg", + "76/23.jpg", + "76/24.jpg", + "76/25.jpg", + "76/26.jpg", + "76/27.jpg", + "76/28.jpg", + "76/29.jpg", + "76/30.jpg", + "76/31.jpg", + "76/32.jpg", + "76/33.jpg", + "76/34.jpg", + "76/35.jpg", + "76/36.jpg", + "76/37.jpg", + "76/38.jpg", + "76/39.jpg", + "76/40.jpg", + "76/41.jpg", + "76/42.jpg", + "76/43.jpg", + "76/44.jpg", + "76/45.jpg", + "76/46.jpg", + "76/47.jpg", + "76/48.jpg", + "76/49.jpg", + "76/50.jpg", + "76/51.jpg", + "76/52.jpg", + "76/53.jpg", + "76/54.jpg", + "76/55.jpg", + "76/56.jpg", + "76/57.jpg", + "76/58.jpg", + "76/59.jpg", + "76/60.jpg", + "76/61.jpg", + "76/62.jpg", + "76/63.jpg" + ], + "prompt": "Where is the creek in relation to the pond?" + }, + "output": { + "text": "The creek leads into the pond." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0026", + "input": { + "video_file_list": [ + "134/0.jpg", + "134/1.jpg", + "134/2.jpg", + "134/3.jpg", + "134/4.jpg", + "134/5.jpg", + "134/6.jpg", + "134/7.jpg", + "134/8.jpg", + "134/9.jpg", + "134/10.jpg", + "134/11.jpg", + "134/12.jpg", + "134/13.jpg", + "134/14.jpg", + "134/15.jpg", + "134/16.jpg", + "134/17.jpg", + "134/18.jpg", + "134/19.jpg", + "134/20.jpg", + "134/21.jpg", + "134/22.jpg", + "134/23.jpg", + "134/24.jpg", + "134/25.jpg", + "134/26.jpg", + "134/27.jpg", + "134/28.jpg", + "134/29.jpg", + "134/30.jpg", + "134/31.jpg", + "134/32.jpg", + "134/33.jpg", + "134/34.jpg", + "134/35.jpg", + "134/36.jpg", + "134/37.jpg", + "134/38.jpg", + "134/39.jpg", + "134/40.jpg", + "134/41.jpg", + "134/42.jpg", + "134/43.jpg", + "134/44.jpg", + "134/45.jpg", + "134/46.jpg", + "134/47.jpg", + "134/48.jpg", + "134/49.jpg", + "134/50.jpg", + "134/51.jpg", + "134/52.jpg", + "134/53.jpg", + "134/54.jpg", + "134/55.jpg", + "134/56.jpg", + "134/57.jpg", + "134/58.jpg", + "134/59.jpg", + "134/60.jpg", + "134/61.jpg", + "134/62.jpg", + "134/63.jpg" + ], + "prompt": "Are the islands inhabited?" + }, + "output": { + "text": "No." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0030", + "input": { + "video_file_list": [ + "129/0.jpg", + "129/1.jpg", + "129/2.jpg", + "129/3.jpg", + "129/4.jpg", + "129/5.jpg", + "129/6.jpg", + "129/7.jpg", + "129/8.jpg", + "129/9.jpg", + "129/10.jpg", + "129/11.jpg", + "129/12.jpg", + "129/13.jpg", + "129/14.jpg", + "129/15.jpg", + "129/16.jpg", + "129/17.jpg", + "129/18.jpg", + "129/19.jpg", + "129/20.jpg", + "129/21.jpg", + "129/22.jpg", + "129/23.jpg", + "129/24.jpg", + "129/25.jpg", + "129/26.jpg", + "129/27.jpg", + "129/28.jpg", + "129/29.jpg", + "129/30.jpg", + "129/31.jpg", + "129/32.jpg", + "129/33.jpg", + "129/34.jpg", + "129/35.jpg", + "129/36.jpg", + "129/37.jpg", + "129/38.jpg", + "129/39.jpg", + "129/40.jpg", + "129/41.jpg", + "129/42.jpg", + "129/43.jpg", + "129/44.jpg", + "129/45.jpg", + "129/46.jpg", + "129/47.jpg", + "129/48.jpg", + "129/49.jpg", + "129/50.jpg", + "129/51.jpg", + "129/52.jpg", + "129/53.jpg", + "129/54.jpg", + "129/55.jpg", + "129/56.jpg", + "129/57.jpg", + "129/58.jpg", + "129/59.jpg", + "129/60.jpg", + "129/61.jpg", + "129/62.jpg", + "129/63.jpg" + ], + "prompt": "Is there any signs that human frequent the area?" + }, + "output": { + "text": "Yes, there is a hiking trail. " + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0017", + "input": { + "video_file_list": [ + "122/0.jpg", + "122/1.jpg", + "122/2.jpg", + "122/3.jpg", + "122/4.jpg", + "122/5.jpg", + "122/6.jpg", + "122/7.jpg", + "122/8.jpg", + "122/9.jpg", + "122/10.jpg", + "122/11.jpg", + "122/12.jpg", + "122/13.jpg", + "122/14.jpg", + "122/15.jpg", + "122/16.jpg", + "122/17.jpg", + "122/18.jpg", + "122/19.jpg", + "122/20.jpg", + "122/21.jpg", + "122/22.jpg", + "122/23.jpg", + "122/24.jpg", + "122/25.jpg", + "122/26.jpg", + "122/27.jpg", + "122/28.jpg", + "122/29.jpg", + "122/30.jpg", + "122/31.jpg", + "122/32.jpg", + "122/33.jpg", + "122/34.jpg", + "122/35.jpg", + "122/36.jpg", + "122/37.jpg", + "122/38.jpg", + "122/39.jpg", + "122/40.jpg", + "122/41.jpg", + "122/42.jpg", + "122/43.jpg", + "122/44.jpg", + "122/45.jpg", + "122/46.jpg", + "122/47.jpg", + "122/48.jpg", + "122/49.jpg", + "122/50.jpg", + "122/51.jpg", + "122/52.jpg", + "122/53.jpg", + "122/54.jpg", + "122/55.jpg", + "122/56.jpg", + "122/57.jpg", + "122/58.jpg", + "122/59.jpg", + "122/60.jpg", + "122/61.jpg", + "122/62.jpg", + "122/63.jpg" + ], + "prompt": "Are there people in the area?" + }, + "output": { + "text": "Yes." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0033", + "input": { + "video_file_list": [ + "101/0.jpg", + "101/1.jpg", + "101/2.jpg", + "101/3.jpg", + "101/4.jpg", + "101/5.jpg", + "101/6.jpg", + "101/7.jpg", + "101/8.jpg", + "101/9.jpg", + "101/10.jpg", + "101/11.jpg", + "101/12.jpg", + "101/13.jpg", + "101/14.jpg", + "101/15.jpg", + "101/16.jpg", + "101/17.jpg", + "101/18.jpg", + "101/19.jpg", + "101/20.jpg", + "101/21.jpg", + "101/22.jpg", + "101/23.jpg", + "101/24.jpg", + "101/25.jpg", + "101/26.jpg", + "101/27.jpg", + "101/28.jpg", + "101/29.jpg", + "101/30.jpg", + "101/31.jpg", + "101/32.jpg", + "101/33.jpg", + "101/34.jpg", + "101/35.jpg", + "101/36.jpg", + "101/37.jpg", + "101/38.jpg", + "101/39.jpg", + "101/40.jpg", + "101/41.jpg", + "101/42.jpg", + "101/43.jpg", + "101/44.jpg", + "101/45.jpg", + "101/46.jpg", + "101/47.jpg", + "101/48.jpg", + "101/49.jpg", + "101/50.jpg", + "101/51.jpg", + "101/52.jpg", + "101/53.jpg", + "101/54.jpg", + "101/55.jpg", + "101/56.jpg", + "101/57.jpg", + "101/58.jpg", + "101/59.jpg", + "101/60.jpg", + "101/61.jpg", + "101/62.jpg", + "101/63.jpg" + ], + "prompt": "Are there any towns?" + }, + "output": { + "text": "Yes, there is one along the ocean. " + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0038", + "input": { + "video_file_list": [ + "87/0.jpg", + "87/1.jpg", + "87/2.jpg", + "87/3.jpg", + "87/4.jpg", + "87/5.jpg", + "87/6.jpg", + "87/7.jpg", + "87/8.jpg", + "87/9.jpg", + "87/10.jpg", + "87/11.jpg", + "87/12.jpg", + "87/13.jpg", + "87/14.jpg", + "87/15.jpg", + "87/16.jpg", + "87/17.jpg", + "87/18.jpg", + "87/19.jpg", + "87/20.jpg", + "87/21.jpg", + "87/22.jpg", + "87/23.jpg", + "87/24.jpg", + "87/25.jpg", + "87/26.jpg", + "87/27.jpg", + "87/28.jpg", + "87/29.jpg", + "87/30.jpg", + "87/31.jpg", + "87/32.jpg", + "87/33.jpg", + "87/34.jpg", + "87/35.jpg", + "87/36.jpg", + "87/37.jpg", + "87/38.jpg", + "87/39.jpg", + "87/40.jpg", + "87/41.jpg", + "87/42.jpg", + "87/43.jpg", + "87/44.jpg", + "87/45.jpg", + "87/46.jpg", + "87/47.jpg", + "87/48.jpg", + "87/49.jpg", + "87/50.jpg", + "87/51.jpg", + "87/52.jpg", + "87/53.jpg", + "87/54.jpg", + "87/55.jpg", + "87/56.jpg", + "87/57.jpg", + "87/58.jpg", + "87/59.jpg", + "87/60.jpg", + "87/61.jpg", + "87/62.jpg", + "87/63.jpg" + ], + "prompt": "What is the vegetation like?" + }, + "output": { + "text": "It is sparse and low to the ground. It clings to the side of the canyon." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0042", + "input": { + "video_file_list": [ + "80/0.jpg", + "80/1.jpg", + "80/2.jpg", + "80/3.jpg", + "80/4.jpg", + "80/5.jpg", + "80/6.jpg", + "80/7.jpg", + "80/8.jpg", + "80/9.jpg", + "80/10.jpg", + "80/11.jpg", + "80/12.jpg", + "80/13.jpg", + "80/14.jpg", + "80/15.jpg", + "80/16.jpg", + "80/17.jpg", + "80/18.jpg", + "80/19.jpg", + "80/20.jpg", + "80/21.jpg", + "80/22.jpg", + "80/23.jpg", + "80/24.jpg", + "80/25.jpg", + "80/26.jpg", + "80/27.jpg", + "80/28.jpg", + "80/29.jpg", + "80/30.jpg", + "80/31.jpg", + "80/32.jpg", + "80/33.jpg", + "80/34.jpg", + "80/35.jpg", + "80/36.jpg", + "80/37.jpg", + "80/38.jpg", + "80/39.jpg", + "80/40.jpg", + "80/41.jpg", + "80/42.jpg", + "80/43.jpg", + "80/44.jpg", + "80/45.jpg", + "80/46.jpg", + "80/47.jpg", + "80/48.jpg", + "80/49.jpg", + "80/50.jpg", + "80/51.jpg", + "80/52.jpg", + "80/53.jpg", + "80/54.jpg", + "80/55.jpg", + "80/56.jpg", + "80/57.jpg", + "80/58.jpg", + "80/59.jpg", + "80/60.jpg", + "80/61.jpg", + "80/62.jpg", + "80/63.jpg" + ], + "prompt": "What are the people doing there?" + }, + "output": { + "text": "They are hiking." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0031", + "input": { + "video_file_list": [ + "150/0.jpg", + "150/1.jpg", + "150/2.jpg", + "150/3.jpg", + "150/4.jpg", + "150/5.jpg", + "150/6.jpg", + "150/7.jpg", + "150/8.jpg", + "150/9.jpg", + "150/10.jpg", + "150/11.jpg", + "150/12.jpg", + "150/13.jpg", + "150/14.jpg", + "150/15.jpg", + "150/16.jpg", + "150/17.jpg", + "150/18.jpg", + "150/19.jpg", + "150/20.jpg", + "150/21.jpg", + "150/22.jpg", + "150/23.jpg", + "150/24.jpg", + "150/25.jpg", + "150/26.jpg", + "150/27.jpg", + "150/28.jpg", + "150/29.jpg", + "150/30.jpg", + "150/31.jpg", + "150/32.jpg", + "150/33.jpg", + "150/34.jpg", + "150/35.jpg", + "150/36.jpg", + "150/37.jpg", + "150/38.jpg", + "150/39.jpg", + "150/40.jpg", + "150/41.jpg", + "150/42.jpg", + "150/43.jpg", + "150/44.jpg", + "150/45.jpg", + "150/46.jpg", + "150/47.jpg", + "150/48.jpg", + "150/49.jpg", + "150/50.jpg", + "150/51.jpg", + "150/52.jpg", + "150/53.jpg", + "150/54.jpg", + "150/55.jpg", + "150/56.jpg", + "150/57.jpg", + "150/58.jpg", + "150/59.jpg", + "150/60.jpg", + "150/61.jpg", + "150/62.jpg", + "150/63.jpg" + ], + "prompt": "What sort of environment is this?" + }, + "output": { + "text": "A rocky, dry region. " + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0013", + "input": { + "video_file_list": [ + "89/0.jpg", + "89/1.jpg", + "89/2.jpg", + "89/3.jpg", + "89/4.jpg", + "89/5.jpg", + "89/6.jpg", + "89/7.jpg", + "89/8.jpg", + "89/9.jpg", + "89/10.jpg", + "89/11.jpg", + "89/12.jpg", + "89/13.jpg", + "89/14.jpg", + "89/15.jpg", + "89/16.jpg", + "89/17.jpg", + "89/18.jpg", + "89/19.jpg", + "89/20.jpg", + "89/21.jpg", + "89/22.jpg", + "89/23.jpg", + "89/24.jpg", + "89/25.jpg", + "89/26.jpg", + "89/27.jpg", + "89/28.jpg", + "89/29.jpg", + "89/30.jpg", + "89/31.jpg", + "89/32.jpg", + "89/33.jpg", + "89/34.jpg", + "89/35.jpg", + "89/36.jpg", + "89/37.jpg", + "89/38.jpg", + "89/39.jpg", + "89/40.jpg", + "89/41.jpg", + "89/42.jpg", + "89/43.jpg", + "89/44.jpg", + "89/45.jpg", + "89/46.jpg", + "89/47.jpg", + "89/48.jpg", + "89/49.jpg", + "89/50.jpg", + "89/51.jpg", + "89/52.jpg", + "89/53.jpg", + "89/54.jpg", + "89/55.jpg", + "89/56.jpg", + "89/57.jpg", + "89/58.jpg", + "89/59.jpg", + "89/60.jpg", + "89/61.jpg", + "89/62.jpg", + "89/63.jpg" + ], + "prompt": "What is the distribution of plant life like?" + }, + "output": { + "text": "It is very dense. Trees take up much of the forest while the other plants try to grow tall around them." + } + }, + { + "id": "vc_closeset_geographyvideoquestionanswering_0015", + "input": { + "video_file_list": [ + "123/0.jpg", + "123/1.jpg", + "123/2.jpg", + "123/3.jpg", + "123/4.jpg", + "123/5.jpg", + "123/6.jpg", + "123/7.jpg", + "123/8.jpg", + "123/9.jpg", + "123/10.jpg", + "123/11.jpg", + "123/12.jpg", + "123/13.jpg", + "123/14.jpg", + "123/15.jpg", + "123/16.jpg", + "123/17.jpg", + "123/18.jpg", + "123/19.jpg", + "123/20.jpg", + "123/21.jpg", + "123/22.jpg", + "123/23.jpg", + "123/24.jpg", + "123/25.jpg", + "123/26.jpg", + "123/27.jpg", + "123/28.jpg", + "123/29.jpg", + "123/30.jpg", + "123/31.jpg", + "123/32.jpg", + "123/33.jpg", + "123/34.jpg", + "123/35.jpg", + "123/36.jpg", + "123/37.jpg", + "123/38.jpg", + "123/39.jpg", + "123/40.jpg", + "123/41.jpg", + "123/42.jpg", + "123/43.jpg", + "123/44.jpg", + "123/45.jpg", + "123/46.jpg", + "123/47.jpg", + "123/48.jpg", + "123/49.jpg", + "123/50.jpg", + "123/51.jpg", + "123/52.jpg", + "123/53.jpg", + "123/54.jpg", + "123/55.jpg", + "123/56.jpg", + "123/57.jpg", + "123/58.jpg", + "123/59.jpg", + "123/60.jpg", + "123/61.jpg", + "123/62.jpg", + "123/63.jpg" + ], + "prompt": "What are the people doing there?" + }, + "output": { + "text": "Walking, and driving." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/GreenWaterTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/GreenWaterTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d64b79b01ca6b00e5180724e62614697ba039a5e --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/GreenWaterTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, under water video, green_water", + "data_source": "UTB180", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1821", + "input": { + "video_folder": "./images/1821", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1683", + "input": { + "video_folder": "./images/1683", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1730", + "input": { + "video_folder": "./images/1730", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0371", + "input": { + "video_folder": "./images/0371", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1731", + "input": { + "video_folder": "./images/1731", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/GymnasticsVideoQuestionAnswering/annotation.json 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Basketball\nB. Gymnastics\nC. Soccer\nD. 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Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0069", + "input": { + "video_file_list": [ + "v_FkJYI60Jabc_c023_01/0.jpg", + "v_FkJYI60Jabc_c023_01/1.jpg", + "v_FkJYI60Jabc_c023_01/2.jpg", + "v_FkJYI60Jabc_c023_01/3.jpg", + "v_FkJYI60Jabc_c023_01/4.jpg", + "v_FkJYI60Jabc_c023_01/5.jpg", + "v_FkJYI60Jabc_c023_01/6.jpg", + "v_FkJYI60Jabc_c023_01/7.jpg", + "v_FkJYI60Jabc_c023_01/8.jpg", + "v_FkJYI60Jabc_c023_01/9.jpg", + "v_FkJYI60Jabc_c023_01/10.jpg", + "v_FkJYI60Jabc_c023_01/11.jpg", + "v_FkJYI60Jabc_c023_01/12.jpg", + "v_FkJYI60Jabc_c023_01/13.jpg", + "v_FkJYI60Jabc_c023_01/14.jpg", + "v_FkJYI60Jabc_c023_01/15.jpg", + "v_FkJYI60Jabc_c023_01/16.jpg", + "v_FkJYI60Jabc_c023_01/17.jpg", + "v_FkJYI60Jabc_c023_01/18.jpg", + "v_FkJYI60Jabc_c023_01/19.jpg", + "v_FkJYI60Jabc_c023_01/20.jpg", + "v_FkJYI60Jabc_c023_01/21.jpg", + "v_FkJYI60Jabc_c023_01/22.jpg", + "v_FkJYI60Jabc_c023_01/23.jpg", + "v_FkJYI60Jabc_c023_01/24.jpg", + "v_FkJYI60Jabc_c023_01/25.jpg", + "v_FkJYI60Jabc_c023_01/26.jpg", + "v_FkJYI60Jabc_c023_01/27.jpg", + "v_FkJYI60Jabc_c023_01/28.jpg", + "v_FkJYI60Jabc_c023_01/29.jpg", + "v_FkJYI60Jabc_c023_01/30.jpg", + "v_FkJYI60Jabc_c023_01/31.jpg", + "v_FkJYI60Jabc_c023_01/32.jpg", + "v_FkJYI60Jabc_c023_01/33.jpg", + "v_FkJYI60Jabc_c023_01/34.jpg", + "v_FkJYI60Jabc_c023_01/35.jpg", + "v_FkJYI60Jabc_c023_01/36.jpg", + "v_FkJYI60Jabc_c023_01/37.jpg", + "v_FkJYI60Jabc_c023_01/38.jpg", + "v_FkJYI60Jabc_c023_01/39.jpg", + "v_FkJYI60Jabc_c023_01/40.jpg", + "v_FkJYI60Jabc_c023_01/41.jpg", + "v_FkJYI60Jabc_c023_01/42.jpg", + "v_FkJYI60Jabc_c023_01/43.jpg", + "v_FkJYI60Jabc_c023_01/44.jpg", + "v_FkJYI60Jabc_c023_01/45.jpg", + "v_FkJYI60Jabc_c023_01/46.jpg", + "v_FkJYI60Jabc_c023_01/47.jpg", + "v_FkJYI60Jabc_c023_01/48.jpg", + "v_FkJYI60Jabc_c023_01/49.jpg", + "v_FkJYI60Jabc_c023_01/50.jpg", + "v_FkJYI60Jabc_c023_01/51.jpg", + "v_FkJYI60Jabc_c023_01/52.jpg", + "v_FkJYI60Jabc_c023_01/53.jpg", + "v_FkJYI60Jabc_c023_01/54.jpg", + "v_FkJYI60Jabc_c023_01/55.jpg", + "v_FkJYI60Jabc_c023_01/56.jpg", + "v_FkJYI60Jabc_c023_01/57.jpg", + "v_FkJYI60Jabc_c023_01/58.jpg", + "v_FkJYI60Jabc_c023_01/59.jpg", + "v_FkJYI60Jabc_c023_01/60.jpg", + "v_FkJYI60Jabc_c023_01/61.jpg", + "v_FkJYI60Jabc_c023_01/62.jpg", + "v_FkJYI60Jabc_c023_01/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0072", + "input": { + "video_file_list": [ + "v_NzCihhjR_NE_c055_00/0.jpg", + "v_NzCihhjR_NE_c055_00/1.jpg", + "v_NzCihhjR_NE_c055_00/2.jpg", + "v_NzCihhjR_NE_c055_00/3.jpg", + "v_NzCihhjR_NE_c055_00/4.jpg", + "v_NzCihhjR_NE_c055_00/5.jpg", + "v_NzCihhjR_NE_c055_00/6.jpg", + "v_NzCihhjR_NE_c055_00/7.jpg", + "v_NzCihhjR_NE_c055_00/8.jpg", + "v_NzCihhjR_NE_c055_00/9.jpg", + "v_NzCihhjR_NE_c055_00/10.jpg", + "v_NzCihhjR_NE_c055_00/11.jpg", + "v_NzCihhjR_NE_c055_00/12.jpg", + "v_NzCihhjR_NE_c055_00/13.jpg", + "v_NzCihhjR_NE_c055_00/14.jpg", + "v_NzCihhjR_NE_c055_00/15.jpg", + "v_NzCihhjR_NE_c055_00/16.jpg", + "v_NzCihhjR_NE_c055_00/17.jpg", + "v_NzCihhjR_NE_c055_00/18.jpg", + "v_NzCihhjR_NE_c055_00/19.jpg", + "v_NzCihhjR_NE_c055_00/20.jpg", + "v_NzCihhjR_NE_c055_00/21.jpg", + "v_NzCihhjR_NE_c055_00/22.jpg", + "v_NzCihhjR_NE_c055_00/23.jpg", + "v_NzCihhjR_NE_c055_00/24.jpg", + "v_NzCihhjR_NE_c055_00/25.jpg", + "v_NzCihhjR_NE_c055_00/26.jpg", + "v_NzCihhjR_NE_c055_00/27.jpg", + "v_NzCihhjR_NE_c055_00/28.jpg", + "v_NzCihhjR_NE_c055_00/29.jpg", + "v_NzCihhjR_NE_c055_00/30.jpg", + "v_NzCihhjR_NE_c055_00/31.jpg", + "v_NzCihhjR_NE_c055_00/32.jpg", + "v_NzCihhjR_NE_c055_00/33.jpg", + "v_NzCihhjR_NE_c055_00/34.jpg", + "v_NzCihhjR_NE_c055_00/35.jpg", + "v_NzCihhjR_NE_c055_00/36.jpg", + "v_NzCihhjR_NE_c055_00/37.jpg", + "v_NzCihhjR_NE_c055_00/38.jpg", + "v_NzCihhjR_NE_c055_00/39.jpg", + "v_NzCihhjR_NE_c055_00/40.jpg", + "v_NzCihhjR_NE_c055_00/41.jpg", + "v_NzCihhjR_NE_c055_00/42.jpg", + "v_NzCihhjR_NE_c055_00/43.jpg", + "v_NzCihhjR_NE_c055_00/44.jpg", + "v_NzCihhjR_NE_c055_00/45.jpg", + "v_NzCihhjR_NE_c055_00/46.jpg", + "v_NzCihhjR_NE_c055_00/47.jpg", + "v_NzCihhjR_NE_c055_00/48.jpg", + "v_NzCihhjR_NE_c055_00/49.jpg", + "v_NzCihhjR_NE_c055_00/50.jpg", + "v_NzCihhjR_NE_c055_00/51.jpg", + "v_NzCihhjR_NE_c055_00/52.jpg", + "v_NzCihhjR_NE_c055_00/53.jpg", + "v_NzCihhjR_NE_c055_00/54.jpg", + "v_NzCihhjR_NE_c055_00/55.jpg", + "v_NzCihhjR_NE_c055_00/56.jpg", + "v_NzCihhjR_NE_c055_00/57.jpg", + "v_NzCihhjR_NE_c055_00/58.jpg", + "v_NzCihhjR_NE_c055_00/59.jpg", + "v_NzCihhjR_NE_c055_00/60.jpg", + "v_NzCihhjR_NE_c055_00/61.jpg", + "v_NzCihhjR_NE_c055_00/62.jpg", + "v_NzCihhjR_NE_c055_00/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0083", + "input": { + "video_file_list": [ + "v_4RKB-3ER_GA_c002_01/0.jpg", + "v_4RKB-3ER_GA_c002_01/1.jpg", + "v_4RKB-3ER_GA_c002_01/2.jpg", + "v_4RKB-3ER_GA_c002_01/3.jpg", + "v_4RKB-3ER_GA_c002_01/4.jpg", + "v_4RKB-3ER_GA_c002_01/5.jpg", + "v_4RKB-3ER_GA_c002_01/6.jpg", + "v_4RKB-3ER_GA_c002_01/7.jpg", + "v_4RKB-3ER_GA_c002_01/8.jpg", + "v_4RKB-3ER_GA_c002_01/9.jpg", + "v_4RKB-3ER_GA_c002_01/10.jpg", + "v_4RKB-3ER_GA_c002_01/11.jpg", + "v_4RKB-3ER_GA_c002_01/12.jpg", + "v_4RKB-3ER_GA_c002_01/13.jpg", + "v_4RKB-3ER_GA_c002_01/14.jpg", + "v_4RKB-3ER_GA_c002_01/15.jpg", + "v_4RKB-3ER_GA_c002_01/16.jpg", + "v_4RKB-3ER_GA_c002_01/17.jpg", + "v_4RKB-3ER_GA_c002_01/18.jpg", + "v_4RKB-3ER_GA_c002_01/19.jpg", + "v_4RKB-3ER_GA_c002_01/20.jpg", + "v_4RKB-3ER_GA_c002_01/21.jpg", + "v_4RKB-3ER_GA_c002_01/22.jpg", + "v_4RKB-3ER_GA_c002_01/23.jpg", + "v_4RKB-3ER_GA_c002_01/24.jpg", + "v_4RKB-3ER_GA_c002_01/25.jpg", + "v_4RKB-3ER_GA_c002_01/26.jpg", + "v_4RKB-3ER_GA_c002_01/27.jpg", + "v_4RKB-3ER_GA_c002_01/28.jpg", + "v_4RKB-3ER_GA_c002_01/29.jpg", + "v_4RKB-3ER_GA_c002_01/30.jpg", + "v_4RKB-3ER_GA_c002_01/31.jpg", + "v_4RKB-3ER_GA_c002_01/32.jpg", + "v_4RKB-3ER_GA_c002_01/33.jpg", + "v_4RKB-3ER_GA_c002_01/34.jpg", + "v_4RKB-3ER_GA_c002_01/35.jpg", + "v_4RKB-3ER_GA_c002_01/36.jpg", + "v_4RKB-3ER_GA_c002_01/37.jpg", + "v_4RKB-3ER_GA_c002_01/38.jpg", + "v_4RKB-3ER_GA_c002_01/39.jpg", + "v_4RKB-3ER_GA_c002_01/40.jpg", + "v_4RKB-3ER_GA_c002_01/41.jpg", + "v_4RKB-3ER_GA_c002_01/42.jpg", + "v_4RKB-3ER_GA_c002_01/43.jpg", + "v_4RKB-3ER_GA_c002_01/44.jpg", + "v_4RKB-3ER_GA_c002_01/45.jpg", + "v_4RKB-3ER_GA_c002_01/46.jpg", + "v_4RKB-3ER_GA_c002_01/47.jpg", + "v_4RKB-3ER_GA_c002_01/48.jpg", + "v_4RKB-3ER_GA_c002_01/49.jpg", + "v_4RKB-3ER_GA_c002_01/50.jpg", + "v_4RKB-3ER_GA_c002_01/51.jpg", + "v_4RKB-3ER_GA_c002_01/52.jpg", + "v_4RKB-3ER_GA_c002_01/53.jpg", + "v_4RKB-3ER_GA_c002_01/54.jpg", + "v_4RKB-3ER_GA_c002_01/55.jpg", + "v_4RKB-3ER_GA_c002_01/56.jpg", + "v_4RKB-3ER_GA_c002_01/57.jpg", + "v_4RKB-3ER_GA_c002_01/58.jpg", + "v_4RKB-3ER_GA_c002_01/59.jpg", + "v_4RKB-3ER_GA_c002_01/60.jpg", + "v_4RKB-3ER_GA_c002_01/61.jpg", + "v_4RKB-3ER_GA_c002_01/62.jpg", + "v_4RKB-3ER_GA_c002_01/63.jpg" + ], + "prompt": "What is the video about?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0018", + "input": { + "video_file_list": [ + "v_dFYr67eNMwA_c010_01/0.jpg", + "v_dFYr67eNMwA_c010_01/1.jpg", + "v_dFYr67eNMwA_c010_01/2.jpg", + "v_dFYr67eNMwA_c010_01/3.jpg", + "v_dFYr67eNMwA_c010_01/4.jpg", + "v_dFYr67eNMwA_c010_01/5.jpg", + "v_dFYr67eNMwA_c010_01/6.jpg", + "v_dFYr67eNMwA_c010_01/7.jpg", + "v_dFYr67eNMwA_c010_01/8.jpg", + "v_dFYr67eNMwA_c010_01/9.jpg", + "v_dFYr67eNMwA_c010_01/10.jpg", + "v_dFYr67eNMwA_c010_01/11.jpg", + "v_dFYr67eNMwA_c010_01/12.jpg", + "v_dFYr67eNMwA_c010_01/13.jpg", + "v_dFYr67eNMwA_c010_01/14.jpg", + "v_dFYr67eNMwA_c010_01/15.jpg", + "v_dFYr67eNMwA_c010_01/16.jpg", + "v_dFYr67eNMwA_c010_01/17.jpg", + "v_dFYr67eNMwA_c010_01/18.jpg", + "v_dFYr67eNMwA_c010_01/19.jpg", + "v_dFYr67eNMwA_c010_01/20.jpg", + "v_dFYr67eNMwA_c010_01/21.jpg", + "v_dFYr67eNMwA_c010_01/22.jpg", + "v_dFYr67eNMwA_c010_01/23.jpg", + "v_dFYr67eNMwA_c010_01/24.jpg", + "v_dFYr67eNMwA_c010_01/25.jpg", + "v_dFYr67eNMwA_c010_01/26.jpg", + "v_dFYr67eNMwA_c010_01/27.jpg", + "v_dFYr67eNMwA_c010_01/28.jpg", + "v_dFYr67eNMwA_c010_01/29.jpg", + "v_dFYr67eNMwA_c010_01/30.jpg", + "v_dFYr67eNMwA_c010_01/31.jpg", + "v_dFYr67eNMwA_c010_01/32.jpg", + "v_dFYr67eNMwA_c010_01/33.jpg", + "v_dFYr67eNMwA_c010_01/34.jpg", + "v_dFYr67eNMwA_c010_01/35.jpg", + "v_dFYr67eNMwA_c010_01/36.jpg", + "v_dFYr67eNMwA_c010_01/37.jpg", + "v_dFYr67eNMwA_c010_01/38.jpg", + "v_dFYr67eNMwA_c010_01/39.jpg", + "v_dFYr67eNMwA_c010_01/40.jpg", + "v_dFYr67eNMwA_c010_01/41.jpg", + "v_dFYr67eNMwA_c010_01/42.jpg", + "v_dFYr67eNMwA_c010_01/43.jpg", + "v_dFYr67eNMwA_c010_01/44.jpg", + "v_dFYr67eNMwA_c010_01/45.jpg", + "v_dFYr67eNMwA_c010_01/46.jpg", + "v_dFYr67eNMwA_c010_01/47.jpg", + "v_dFYr67eNMwA_c010_01/48.jpg", + "v_dFYr67eNMwA_c010_01/49.jpg", + "v_dFYr67eNMwA_c010_01/50.jpg", + "v_dFYr67eNMwA_c010_01/51.jpg", + "v_dFYr67eNMwA_c010_01/52.jpg", + "v_dFYr67eNMwA_c010_01/53.jpg", + "v_dFYr67eNMwA_c010_01/54.jpg", + "v_dFYr67eNMwA_c010_01/55.jpg", + "v_dFYr67eNMwA_c010_01/56.jpg", + "v_dFYr67eNMwA_c010_01/57.jpg", + "v_dFYr67eNMwA_c010_01/58.jpg", + "v_dFYr67eNMwA_c010_01/59.jpg", + "v_dFYr67eNMwA_c010_01/60.jpg", + "v_dFYr67eNMwA_c010_01/61.jpg", + "v_dFYr67eNMwA_c010_01/62.jpg", + "v_dFYr67eNMwA_c010_01/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0121", + "input": { + "video_file_list": [ + "v_MpKpjb7EamM_c022_01/0.jpg", + "v_MpKpjb7EamM_c022_01/1.jpg", + "v_MpKpjb7EamM_c022_01/2.jpg", + "v_MpKpjb7EamM_c022_01/3.jpg", + "v_MpKpjb7EamM_c022_01/4.jpg", + "v_MpKpjb7EamM_c022_01/5.jpg", + "v_MpKpjb7EamM_c022_01/6.jpg", + "v_MpKpjb7EamM_c022_01/7.jpg", + "v_MpKpjb7EamM_c022_01/8.jpg", + "v_MpKpjb7EamM_c022_01/9.jpg", + "v_MpKpjb7EamM_c022_01/10.jpg", + "v_MpKpjb7EamM_c022_01/11.jpg", + "v_MpKpjb7EamM_c022_01/12.jpg", + "v_MpKpjb7EamM_c022_01/13.jpg", + "v_MpKpjb7EamM_c022_01/14.jpg", + "v_MpKpjb7EamM_c022_01/15.jpg", + "v_MpKpjb7EamM_c022_01/16.jpg", + "v_MpKpjb7EamM_c022_01/17.jpg", + "v_MpKpjb7EamM_c022_01/18.jpg", + "v_MpKpjb7EamM_c022_01/19.jpg", + "v_MpKpjb7EamM_c022_01/20.jpg", + "v_MpKpjb7EamM_c022_01/21.jpg", + "v_MpKpjb7EamM_c022_01/22.jpg", + "v_MpKpjb7EamM_c022_01/23.jpg", + "v_MpKpjb7EamM_c022_01/24.jpg", + "v_MpKpjb7EamM_c022_01/25.jpg", + "v_MpKpjb7EamM_c022_01/26.jpg", + "v_MpKpjb7EamM_c022_01/27.jpg", + "v_MpKpjb7EamM_c022_01/28.jpg", + "v_MpKpjb7EamM_c022_01/29.jpg", + "v_MpKpjb7EamM_c022_01/30.jpg", + "v_MpKpjb7EamM_c022_01/31.jpg", + "v_MpKpjb7EamM_c022_01/32.jpg", + "v_MpKpjb7EamM_c022_01/33.jpg", + "v_MpKpjb7EamM_c022_01/34.jpg", + "v_MpKpjb7EamM_c022_01/35.jpg", + "v_MpKpjb7EamM_c022_01/36.jpg", + "v_MpKpjb7EamM_c022_01/37.jpg", + "v_MpKpjb7EamM_c022_01/38.jpg", + "v_MpKpjb7EamM_c022_01/39.jpg", + "v_MpKpjb7EamM_c022_01/40.jpg", + "v_MpKpjb7EamM_c022_01/41.jpg", + "v_MpKpjb7EamM_c022_01/42.jpg", + "v_MpKpjb7EamM_c022_01/43.jpg", + "v_MpKpjb7EamM_c022_01/44.jpg", + "v_MpKpjb7EamM_c022_01/45.jpg", + "v_MpKpjb7EamM_c022_01/46.jpg", + "v_MpKpjb7EamM_c022_01/47.jpg", + "v_MpKpjb7EamM_c022_01/48.jpg", + "v_MpKpjb7EamM_c022_01/49.jpg", + "v_MpKpjb7EamM_c022_01/50.jpg", + "v_MpKpjb7EamM_c022_01/51.jpg", + "v_MpKpjb7EamM_c022_01/52.jpg", + "v_MpKpjb7EamM_c022_01/53.jpg", + "v_MpKpjb7EamM_c022_01/54.jpg", + "v_MpKpjb7EamM_c022_01/55.jpg", + "v_MpKpjb7EamM_c022_01/56.jpg", + "v_MpKpjb7EamM_c022_01/57.jpg", + "v_MpKpjb7EamM_c022_01/58.jpg", + "v_MpKpjb7EamM_c022_01/59.jpg", + "v_MpKpjb7EamM_c022_01/60.jpg", + "v_MpKpjb7EamM_c022_01/61.jpg", + "v_MpKpjb7EamM_c022_01/62.jpg", + "v_MpKpjb7EamM_c022_01/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_gymnasticsvideoquestionanswering_0061", + "input": { + "video_file_list": [ + "v_MpKpjb7EamM_c039_01/0.jpg", + "v_MpKpjb7EamM_c039_01/1.jpg", + "v_MpKpjb7EamM_c039_01/2.jpg", + "v_MpKpjb7EamM_c039_01/3.jpg", + "v_MpKpjb7EamM_c039_01/4.jpg", + "v_MpKpjb7EamM_c039_01/5.jpg", + "v_MpKpjb7EamM_c039_01/6.jpg", + "v_MpKpjb7EamM_c039_01/7.jpg", + "v_MpKpjb7EamM_c039_01/8.jpg", + "v_MpKpjb7EamM_c039_01/9.jpg", + "v_MpKpjb7EamM_c039_01/10.jpg", + "v_MpKpjb7EamM_c039_01/11.jpg", + "v_MpKpjb7EamM_c039_01/12.jpg", + "v_MpKpjb7EamM_c039_01/13.jpg", + "v_MpKpjb7EamM_c039_01/14.jpg", + "v_MpKpjb7EamM_c039_01/15.jpg", + "v_MpKpjb7EamM_c039_01/16.jpg", + "v_MpKpjb7EamM_c039_01/17.jpg", + "v_MpKpjb7EamM_c039_01/18.jpg", + "v_MpKpjb7EamM_c039_01/19.jpg", + "v_MpKpjb7EamM_c039_01/20.jpg", + "v_MpKpjb7EamM_c039_01/21.jpg", + "v_MpKpjb7EamM_c039_01/22.jpg", + "v_MpKpjb7EamM_c039_01/23.jpg", + "v_MpKpjb7EamM_c039_01/24.jpg", + "v_MpKpjb7EamM_c039_01/25.jpg", + "v_MpKpjb7EamM_c039_01/26.jpg", + "v_MpKpjb7EamM_c039_01/27.jpg", + "v_MpKpjb7EamM_c039_01/28.jpg", + "v_MpKpjb7EamM_c039_01/29.jpg", + "v_MpKpjb7EamM_c039_01/30.jpg", + "v_MpKpjb7EamM_c039_01/31.jpg", + "v_MpKpjb7EamM_c039_01/32.jpg", + "v_MpKpjb7EamM_c039_01/33.jpg", + "v_MpKpjb7EamM_c039_01/34.jpg", + "v_MpKpjb7EamM_c039_01/35.jpg", + "v_MpKpjb7EamM_c039_01/36.jpg", + "v_MpKpjb7EamM_c039_01/37.jpg", + "v_MpKpjb7EamM_c039_01/38.jpg", + "v_MpKpjb7EamM_c039_01/39.jpg", + "v_MpKpjb7EamM_c039_01/40.jpg", + "v_MpKpjb7EamM_c039_01/41.jpg", + "v_MpKpjb7EamM_c039_01/42.jpg", + "v_MpKpjb7EamM_c039_01/43.jpg", + "v_MpKpjb7EamM_c039_01/44.jpg", + "v_MpKpjb7EamM_c039_01/45.jpg", + "v_MpKpjb7EamM_c039_01/46.jpg", + "v_MpKpjb7EamM_c039_01/47.jpg", + "v_MpKpjb7EamM_c039_01/48.jpg", + "v_MpKpjb7EamM_c039_01/49.jpg", + "v_MpKpjb7EamM_c039_01/50.jpg", + "v_MpKpjb7EamM_c039_01/51.jpg", + "v_MpKpjb7EamM_c039_01/52.jpg", + "v_MpKpjb7EamM_c039_01/53.jpg", + "v_MpKpjb7EamM_c039_01/54.jpg", + "v_MpKpjb7EamM_c039_01/55.jpg", + "v_MpKpjb7EamM_c039_01/56.jpg", + "v_MpKpjb7EamM_c039_01/57.jpg", + "v_MpKpjb7EamM_c039_01/58.jpg", + "v_MpKpjb7EamM_c039_01/59.jpg", + "v_MpKpjb7EamM_c039_01/60.jpg", + "v_MpKpjb7EamM_c039_01/61.jpg", + "v_MpKpjb7EamM_c039_01/62.jpg", + "v_MpKpjb7EamM_c039_01/63.jpg" + ], + "prompt": "What are the players doing in the video?\nA. Basketball\nB. Gymnastics\nC. Soccer\nD. Tennis\nPlease select the correct answer from the options above. \n" + }, + "output": { + "text": "B" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HistoryAndLiteratureVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HistoryAndLiteratureVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8e7a91a25f8ee60e327796691a7fcb518b591ae0 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HistoryAndLiteratureVideoCaptioning/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "HistoryAndLiteratureVideoCaptioning", + "data_source": "videomme", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0000", + "input": { + "video_file_list": [ + "OE5S-NbNsro/frame_001.jpg", + "OE5S-NbNsro/frame_002.jpg", + "OE5S-NbNsro/frame_003.jpg", + "OE5S-NbNsro/frame_004.jpg", + "OE5S-NbNsro/frame_005.jpg", + "OE5S-NbNsro/frame_006.jpg", + "OE5S-NbNsro/frame_007.jpg", + "OE5S-NbNsro/frame_008.jpg", + "OE5S-NbNsro/frame_009.jpg", + "OE5S-NbNsro/frame_010.jpg", + "OE5S-NbNsro/frame_011.jpg", + "OE5S-NbNsro/frame_012.jpg", + "OE5S-NbNsro/frame_013.jpg", + "OE5S-NbNsro/frame_014.jpg", + "OE5S-NbNsro/frame_015.jpg", + "OE5S-NbNsro/frame_016.jpg", + "OE5S-NbNsro/frame_017.jpg", + "OE5S-NbNsro/frame_018.jpg", + "OE5S-NbNsro/frame_019.jpg", + "OE5S-NbNsro/frame_020.jpg", + "OE5S-NbNsro/frame_021.jpg", + "OE5S-NbNsro/frame_022.jpg", + "OE5S-NbNsro/frame_023.jpg", + "OE5S-NbNsro/frame_024.jpg", + "OE5S-NbNsro/frame_025.jpg", + "OE5S-NbNsro/frame_026.jpg", + "OE5S-NbNsro/frame_027.jpg", + "OE5S-NbNsro/frame_028.jpg", + "OE5S-NbNsro/frame_029.jpg", + "OE5S-NbNsro/frame_030.jpg", + "OE5S-NbNsro/frame_031.jpg", + "OE5S-NbNsro/frame_032.jpg", + "OE5S-NbNsro/frame_033.jpg", + "OE5S-NbNsro/frame_034.jpg", + "OE5S-NbNsro/frame_035.jpg", + "OE5S-NbNsro/frame_036.jpg", + "OE5S-NbNsro/frame_037.jpg", + "OE5S-NbNsro/frame_038.jpg", + "OE5S-NbNsro/frame_039.jpg", + "OE5S-NbNsro/frame_040.jpg", + "OE5S-NbNsro/frame_041.jpg", + "OE5S-NbNsro/frame_042.jpg", + "OE5S-NbNsro/frame_043.jpg", + "OE5S-NbNsro/frame_044.jpg", + "OE5S-NbNsro/frame_045.jpg", + "OE5S-NbNsro/frame_046.jpg", + "OE5S-NbNsro/frame_047.jpg", + "OE5S-NbNsro/frame_048.jpg", + "OE5S-NbNsro/frame_049.jpg", + "OE5S-NbNsro/frame_050.jpg", + "OE5S-NbNsro/frame_051.jpg", + "OE5S-NbNsro/frame_052.jpg", + "OE5S-NbNsro/frame_053.jpg", + "OE5S-NbNsro/frame_054.jpg", + "OE5S-NbNsro/frame_055.jpg", + "OE5S-NbNsro/frame_056.jpg", + "OE5S-NbNsro/frame_057.jpg", + "OE5S-NbNsro/frame_058.jpg", + "OE5S-NbNsro/frame_059.jpg", + "OE5S-NbNsro/frame_060.jpg", + "OE5S-NbNsro/frame_061.jpg", + "OE5S-NbNsro/frame_062.jpg", + "OE5S-NbNsro/frame_063.jpg", + "OE5S-NbNsro/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features four ballerinas dancing on stage, executing various moves and spinning. They conclude their performance by standing in a line before exiting the stage." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0012", + "input": { + "video_file_list": [ + "w0Wmc8C0Eq0/frame_001.jpg", + "w0Wmc8C0Eq0/frame_002.jpg", + "w0Wmc8C0Eq0/frame_003.jpg", + "w0Wmc8C0Eq0/frame_004.jpg", + "w0Wmc8C0Eq0/frame_005.jpg", + "w0Wmc8C0Eq0/frame_006.jpg", + "w0Wmc8C0Eq0/frame_007.jpg", + "w0Wmc8C0Eq0/frame_008.jpg", + "w0Wmc8C0Eq0/frame_009.jpg", + "w0Wmc8C0Eq0/frame_010.jpg", + "w0Wmc8C0Eq0/frame_011.jpg", + "w0Wmc8C0Eq0/frame_012.jpg", + "w0Wmc8C0Eq0/frame_013.jpg", + "w0Wmc8C0Eq0/frame_014.jpg", + "w0Wmc8C0Eq0/frame_015.jpg", + "w0Wmc8C0Eq0/frame_016.jpg", + "w0Wmc8C0Eq0/frame_017.jpg", + "w0Wmc8C0Eq0/frame_018.jpg", + "w0Wmc8C0Eq0/frame_019.jpg", + "w0Wmc8C0Eq0/frame_020.jpg", + "w0Wmc8C0Eq0/frame_021.jpg", + "w0Wmc8C0Eq0/frame_022.jpg", + "w0Wmc8C0Eq0/frame_023.jpg", + "w0Wmc8C0Eq0/frame_024.jpg", + "w0Wmc8C0Eq0/frame_025.jpg", + "w0Wmc8C0Eq0/frame_026.jpg", + "w0Wmc8C0Eq0/frame_027.jpg", + "w0Wmc8C0Eq0/frame_028.jpg", + "w0Wmc8C0Eq0/frame_029.jpg", + "w0Wmc8C0Eq0/frame_030.jpg", + "w0Wmc8C0Eq0/frame_031.jpg", + "w0Wmc8C0Eq0/frame_032.jpg", + "w0Wmc8C0Eq0/frame_033.jpg", + "w0Wmc8C0Eq0/frame_034.jpg", + "w0Wmc8C0Eq0/frame_035.jpg", + "w0Wmc8C0Eq0/frame_036.jpg", + "w0Wmc8C0Eq0/frame_037.jpg", + "w0Wmc8C0Eq0/frame_038.jpg", + "w0Wmc8C0Eq0/frame_039.jpg", + "w0Wmc8C0Eq0/frame_040.jpg", + "w0Wmc8C0Eq0/frame_041.jpg", + "w0Wmc8C0Eq0/frame_042.jpg", + "w0Wmc8C0Eq0/frame_043.jpg", + "w0Wmc8C0Eq0/frame_044.jpg", + "w0Wmc8C0Eq0/frame_045.jpg", + "w0Wmc8C0Eq0/frame_046.jpg", + "w0Wmc8C0Eq0/frame_047.jpg", + "w0Wmc8C0Eq0/frame_048.jpg", + "w0Wmc8C0Eq0/frame_049.jpg", + "w0Wmc8C0Eq0/frame_050.jpg", + "w0Wmc8C0Eq0/frame_051.jpg", + "w0Wmc8C0Eq0/frame_052.jpg", + "w0Wmc8C0Eq0/frame_053.jpg", + "w0Wmc8C0Eq0/frame_054.jpg", + "w0Wmc8C0Eq0/frame_055.jpg", + "w0Wmc8C0Eq0/frame_056.jpg", + "w0Wmc8C0Eq0/frame_057.jpg", + "w0Wmc8C0Eq0/frame_058.jpg", + "w0Wmc8C0Eq0/frame_059.jpg", + "w0Wmc8C0Eq0/frame_060.jpg", + "w0Wmc8C0Eq0/frame_061.jpg", + "w0Wmc8C0Eq0/frame_062.jpg", + "w0Wmc8C0Eq0/frame_063.jpg", + "w0Wmc8C0Eq0/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video includes a map of Russia and its neighbors, a man riding a horse, a woman's portrait, a painted scene of a woman in a dress and a man in a suit, and a map of Europe with a man's image." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0007", + "input": { + "video_file_list": [ + "eXKE0nAMmg4/frame_001.jpg", + "eXKE0nAMmg4/frame_002.jpg", + "eXKE0nAMmg4/frame_003.jpg", + "eXKE0nAMmg4/frame_004.jpg", + "eXKE0nAMmg4/frame_005.jpg", + "eXKE0nAMmg4/frame_006.jpg", + "eXKE0nAMmg4/frame_007.jpg", + "eXKE0nAMmg4/frame_008.jpg", + "eXKE0nAMmg4/frame_009.jpg", + "eXKE0nAMmg4/frame_010.jpg", + "eXKE0nAMmg4/frame_011.jpg", + "eXKE0nAMmg4/frame_012.jpg", + "eXKE0nAMmg4/frame_013.jpg", + "eXKE0nAMmg4/frame_014.jpg", + "eXKE0nAMmg4/frame_015.jpg", + "eXKE0nAMmg4/frame_016.jpg", + "eXKE0nAMmg4/frame_017.jpg", + "eXKE0nAMmg4/frame_018.jpg", + "eXKE0nAMmg4/frame_019.jpg", + "eXKE0nAMmg4/frame_020.jpg", + "eXKE0nAMmg4/frame_021.jpg", + "eXKE0nAMmg4/frame_022.jpg", + "eXKE0nAMmg4/frame_023.jpg", + "eXKE0nAMmg4/frame_024.jpg", + "eXKE0nAMmg4/frame_025.jpg", + "eXKE0nAMmg4/frame_026.jpg", + "eXKE0nAMmg4/frame_027.jpg", + "eXKE0nAMmg4/frame_028.jpg", + "eXKE0nAMmg4/frame_029.jpg", + "eXKE0nAMmg4/frame_030.jpg", + "eXKE0nAMmg4/frame_031.jpg", + "eXKE0nAMmg4/frame_032.jpg", + "eXKE0nAMmg4/frame_033.jpg", + "eXKE0nAMmg4/frame_034.jpg", + "eXKE0nAMmg4/frame_035.jpg", + "eXKE0nAMmg4/frame_036.jpg", + "eXKE0nAMmg4/frame_037.jpg", + "eXKE0nAMmg4/frame_038.jpg", + "eXKE0nAMmg4/frame_039.jpg", + "eXKE0nAMmg4/frame_040.jpg", + "eXKE0nAMmg4/frame_041.jpg", + "eXKE0nAMmg4/frame_042.jpg", + "eXKE0nAMmg4/frame_043.jpg", + "eXKE0nAMmg4/frame_044.jpg", + "eXKE0nAMmg4/frame_045.jpg", + "eXKE0nAMmg4/frame_046.jpg", + "eXKE0nAMmg4/frame_047.jpg", + "eXKE0nAMmg4/frame_048.jpg", + "eXKE0nAMmg4/frame_049.jpg", + "eXKE0nAMmg4/frame_050.jpg", + "eXKE0nAMmg4/frame_051.jpg", + "eXKE0nAMmg4/frame_052.jpg", + "eXKE0nAMmg4/frame_053.jpg", + "eXKE0nAMmg4/frame_054.jpg", + "eXKE0nAMmg4/frame_055.jpg", + "eXKE0nAMmg4/frame_056.jpg", + "eXKE0nAMmg4/frame_057.jpg", + "eXKE0nAMmg4/frame_058.jpg", + "eXKE0nAMmg4/frame_059.jpg", + "eXKE0nAMmg4/frame_060.jpg", + "eXKE0nAMmg4/frame_061.jpg", + "eXKE0nAMmg4/frame_062.jpg", + "eXKE0nAMmg4/frame_063.jpg", + "eXKE0nAMmg4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man addressing an audience as people photograph a painting. The painting is subsequently torn apart, and the sequence is replayed from various angles." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0001", + "input": { + "video_file_list": [ + "PSt_op3fQck/frame_001.jpg", + "PSt_op3fQck/frame_002.jpg", + "PSt_op3fQck/frame_003.jpg", + "PSt_op3fQck/frame_004.jpg", + "PSt_op3fQck/frame_005.jpg", + "PSt_op3fQck/frame_006.jpg", + "PSt_op3fQck/frame_007.jpg", + "PSt_op3fQck/frame_008.jpg", + "PSt_op3fQck/frame_009.jpg", + "PSt_op3fQck/frame_010.jpg", + "PSt_op3fQck/frame_011.jpg", + "PSt_op3fQck/frame_012.jpg", + "PSt_op3fQck/frame_013.jpg", + "PSt_op3fQck/frame_014.jpg", + "PSt_op3fQck/frame_015.jpg", + "PSt_op3fQck/frame_016.jpg", + "PSt_op3fQck/frame_017.jpg", + "PSt_op3fQck/frame_018.jpg", + "PSt_op3fQck/frame_019.jpg", + "PSt_op3fQck/frame_020.jpg", + "PSt_op3fQck/frame_021.jpg", + "PSt_op3fQck/frame_022.jpg", + "PSt_op3fQck/frame_023.jpg", + "PSt_op3fQck/frame_024.jpg", + "PSt_op3fQck/frame_025.jpg", + "PSt_op3fQck/frame_026.jpg", + "PSt_op3fQck/frame_027.jpg", + "PSt_op3fQck/frame_028.jpg", + "PSt_op3fQck/frame_029.jpg", + "PSt_op3fQck/frame_030.jpg", + "PSt_op3fQck/frame_031.jpg", + "PSt_op3fQck/frame_032.jpg", + "PSt_op3fQck/frame_033.jpg", + "PSt_op3fQck/frame_034.jpg", + "PSt_op3fQck/frame_035.jpg", + "PSt_op3fQck/frame_036.jpg", + "PSt_op3fQck/frame_037.jpg", + "PSt_op3fQck/frame_038.jpg", + "PSt_op3fQck/frame_039.jpg", + "PSt_op3fQck/frame_040.jpg", + "PSt_op3fQck/frame_041.jpg", + "PSt_op3fQck/frame_042.jpg", + "PSt_op3fQck/frame_043.jpg", + "PSt_op3fQck/frame_044.jpg", + "PSt_op3fQck/frame_045.jpg", + "PSt_op3fQck/frame_046.jpg", + "PSt_op3fQck/frame_047.jpg", + "PSt_op3fQck/frame_048.jpg", + "PSt_op3fQck/frame_049.jpg", + "PSt_op3fQck/frame_050.jpg", + "PSt_op3fQck/frame_051.jpg", + "PSt_op3fQck/frame_052.jpg", + "PSt_op3fQck/frame_053.jpg", + "PSt_op3fQck/frame_054.jpg", + "PSt_op3fQck/frame_055.jpg", + "PSt_op3fQck/frame_056.jpg", + "PSt_op3fQck/frame_057.jpg", + "PSt_op3fQck/frame_058.jpg", + "PSt_op3fQck/frame_059.jpg", + "PSt_op3fQck/frame_060.jpg", + "PSt_op3fQck/frame_061.jpg", + "PSt_op3fQck/frame_062.jpg", + "PSt_op3fQck/frame_063.jpg", + "PSt_op3fQck/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a cartoon scene of people lined up at an airport, awaiting their flight. The plane then travels over various locations before landing in Egypt. It concludes with a title card." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0032", + "input": { + "video_file_list": [ + "Sm0lziolZyM/frame_001.jpg", + "Sm0lziolZyM/frame_002.jpg", + "Sm0lziolZyM/frame_003.jpg", + "Sm0lziolZyM/frame_004.jpg", + "Sm0lziolZyM/frame_005.jpg", + "Sm0lziolZyM/frame_006.jpg", + "Sm0lziolZyM/frame_007.jpg", + "Sm0lziolZyM/frame_008.jpg", + "Sm0lziolZyM/frame_009.jpg", + "Sm0lziolZyM/frame_010.jpg", + "Sm0lziolZyM/frame_011.jpg", + "Sm0lziolZyM/frame_012.jpg", + "Sm0lziolZyM/frame_013.jpg", + "Sm0lziolZyM/frame_014.jpg", + "Sm0lziolZyM/frame_015.jpg", + "Sm0lziolZyM/frame_016.jpg", + "Sm0lziolZyM/frame_017.jpg", + "Sm0lziolZyM/frame_018.jpg", + "Sm0lziolZyM/frame_019.jpg", + "Sm0lziolZyM/frame_020.jpg", + "Sm0lziolZyM/frame_021.jpg", + "Sm0lziolZyM/frame_022.jpg", + "Sm0lziolZyM/frame_023.jpg", + "Sm0lziolZyM/frame_024.jpg", + "Sm0lziolZyM/frame_025.jpg", + "Sm0lziolZyM/frame_026.jpg", + "Sm0lziolZyM/frame_027.jpg", + "Sm0lziolZyM/frame_028.jpg", + "Sm0lziolZyM/frame_029.jpg", + "Sm0lziolZyM/frame_030.jpg", + "Sm0lziolZyM/frame_031.jpg", + "Sm0lziolZyM/frame_032.jpg", + "Sm0lziolZyM/frame_033.jpg", + "Sm0lziolZyM/frame_034.jpg", + "Sm0lziolZyM/frame_035.jpg", + "Sm0lziolZyM/frame_036.jpg", + "Sm0lziolZyM/frame_037.jpg", + "Sm0lziolZyM/frame_038.jpg", + "Sm0lziolZyM/frame_039.jpg", + "Sm0lziolZyM/frame_040.jpg", + "Sm0lziolZyM/frame_041.jpg", + "Sm0lziolZyM/frame_042.jpg", + "Sm0lziolZyM/frame_043.jpg", + "Sm0lziolZyM/frame_044.jpg", + "Sm0lziolZyM/frame_045.jpg", + "Sm0lziolZyM/frame_046.jpg", + "Sm0lziolZyM/frame_047.jpg", + "Sm0lziolZyM/frame_048.jpg", + "Sm0lziolZyM/frame_049.jpg", + "Sm0lziolZyM/frame_050.jpg", + "Sm0lziolZyM/frame_051.jpg", + "Sm0lziolZyM/frame_052.jpg", + "Sm0lziolZyM/frame_053.jpg", + "Sm0lziolZyM/frame_054.jpg", + "Sm0lziolZyM/frame_055.jpg", + "Sm0lziolZyM/frame_056.jpg", + "Sm0lziolZyM/frame_057.jpg", + "Sm0lziolZyM/frame_058.jpg", + "Sm0lziolZyM/frame_059.jpg", + "Sm0lziolZyM/frame_060.jpg", + "Sm0lziolZyM/frame_061.jpg", + "Sm0lziolZyM/frame_062.jpg", + "Sm0lziolZyM/frame_063.jpg", + "Sm0lziolZyM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man speaking into the camera as others walk past. It also includes shots of a man on a boat and a woman walking down a street with a man." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0016", + "input": { + "video_file_list": [ + "zxKPjD8urG4/frame_001.jpg", + "zxKPjD8urG4/frame_002.jpg", + "zxKPjD8urG4/frame_003.jpg", + "zxKPjD8urG4/frame_004.jpg", + "zxKPjD8urG4/frame_005.jpg", + "zxKPjD8urG4/frame_006.jpg", + "zxKPjD8urG4/frame_007.jpg", + "zxKPjD8urG4/frame_008.jpg", + "zxKPjD8urG4/frame_009.jpg", + "zxKPjD8urG4/frame_010.jpg", + "zxKPjD8urG4/frame_011.jpg", + "zxKPjD8urG4/frame_012.jpg", + "zxKPjD8urG4/frame_013.jpg", + "zxKPjD8urG4/frame_014.jpg", + "zxKPjD8urG4/frame_015.jpg", + "zxKPjD8urG4/frame_016.jpg", + "zxKPjD8urG4/frame_017.jpg", + "zxKPjD8urG4/frame_018.jpg", + "zxKPjD8urG4/frame_019.jpg", + "zxKPjD8urG4/frame_020.jpg", + "zxKPjD8urG4/frame_021.jpg", + "zxKPjD8urG4/frame_022.jpg", + "zxKPjD8urG4/frame_023.jpg", + "zxKPjD8urG4/frame_024.jpg", + "zxKPjD8urG4/frame_025.jpg", + "zxKPjD8urG4/frame_026.jpg", + "zxKPjD8urG4/frame_027.jpg", + "zxKPjD8urG4/frame_028.jpg", + "zxKPjD8urG4/frame_029.jpg", + "zxKPjD8urG4/frame_030.jpg", + "zxKPjD8urG4/frame_031.jpg", + "zxKPjD8urG4/frame_032.jpg", + "zxKPjD8urG4/frame_033.jpg", + "zxKPjD8urG4/frame_034.jpg", + "zxKPjD8urG4/frame_035.jpg", + "zxKPjD8urG4/frame_036.jpg", + "zxKPjD8urG4/frame_037.jpg", + "zxKPjD8urG4/frame_038.jpg", + "zxKPjD8urG4/frame_039.jpg", + "zxKPjD8urG4/frame_040.jpg", + "zxKPjD8urG4/frame_041.jpg", + "zxKPjD8urG4/frame_042.jpg", + "zxKPjD8urG4/frame_043.jpg", + "zxKPjD8urG4/frame_044.jpg", + "zxKPjD8urG4/frame_045.jpg", + "zxKPjD8urG4/frame_046.jpg", + "zxKPjD8urG4/frame_047.jpg", + "zxKPjD8urG4/frame_048.jpg", + "zxKPjD8urG4/frame_049.jpg", + "zxKPjD8urG4/frame_050.jpg", + "zxKPjD8urG4/frame_051.jpg", + "zxKPjD8urG4/frame_052.jpg", + "zxKPjD8urG4/frame_053.jpg", + "zxKPjD8urG4/frame_054.jpg", + "zxKPjD8urG4/frame_055.jpg", + "zxKPjD8urG4/frame_056.jpg", + "zxKPjD8urG4/frame_057.jpg", + "zxKPjD8urG4/frame_058.jpg", + "zxKPjD8urG4/frame_059.jpg", + "zxKPjD8urG4/frame_060.jpg", + "zxKPjD8urG4/frame_061.jpg", + "zxKPjD8urG4/frame_062.jpg", + "zxKPjD8urG4/frame_063.jpg", + "zxKPjD8urG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features people exploring various locations, such as a field with a lake, a ruined city, and a beach. It also includes a scene of a man standing atop a rock." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0021", + "input": { + "video_file_list": [ + "HwnB8aCn8yE/frame_001.jpg", + "HwnB8aCn8yE/frame_002.jpg", + "HwnB8aCn8yE/frame_003.jpg", + "HwnB8aCn8yE/frame_004.jpg", + "HwnB8aCn8yE/frame_005.jpg", + "HwnB8aCn8yE/frame_006.jpg", + "HwnB8aCn8yE/frame_007.jpg", + "HwnB8aCn8yE/frame_008.jpg", + "HwnB8aCn8yE/frame_009.jpg", + "HwnB8aCn8yE/frame_010.jpg", + "HwnB8aCn8yE/frame_011.jpg", + "HwnB8aCn8yE/frame_012.jpg", + "HwnB8aCn8yE/frame_013.jpg", + "HwnB8aCn8yE/frame_014.jpg", + "HwnB8aCn8yE/frame_015.jpg", + "HwnB8aCn8yE/frame_016.jpg", + "HwnB8aCn8yE/frame_017.jpg", + "HwnB8aCn8yE/frame_018.jpg", + "HwnB8aCn8yE/frame_019.jpg", + "HwnB8aCn8yE/frame_020.jpg", + "HwnB8aCn8yE/frame_021.jpg", + "HwnB8aCn8yE/frame_022.jpg", + "HwnB8aCn8yE/frame_023.jpg", + "HwnB8aCn8yE/frame_024.jpg", + "HwnB8aCn8yE/frame_025.jpg", + "HwnB8aCn8yE/frame_026.jpg", + 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"prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video shows a man speaking behind a podium while slides appear on the screen. It also depicts a man sitting at a desk writing and another scene of a man and a woman sitting together." + } + }, + { + "id": "vc_closeset_historyandliteraturevideocaptioning_0022", + "input": { + "video_file_list": [ + "LCfBYE97rFk/frame_001.jpg", + "LCfBYE97rFk/frame_002.jpg", + "LCfBYE97rFk/frame_003.jpg", + "LCfBYE97rFk/frame_004.jpg", + "LCfBYE97rFk/frame_005.jpg", + "LCfBYE97rFk/frame_006.jpg", + "LCfBYE97rFk/frame_007.jpg", + "LCfBYE97rFk/frame_008.jpg", + "LCfBYE97rFk/frame_009.jpg", + "LCfBYE97rFk/frame_010.jpg", + "LCfBYE97rFk/frame_011.jpg", + "LCfBYE97rFk/frame_012.jpg", + "LCfBYE97rFk/frame_013.jpg", + "LCfBYE97rFk/frame_014.jpg", + "LCfBYE97rFk/frame_015.jpg", + "LCfBYE97rFk/frame_016.jpg", + "LCfBYE97rFk/frame_017.jpg", + "LCfBYE97rFk/frame_018.jpg", + "LCfBYE97rFk/frame_019.jpg", + "LCfBYE97rFk/frame_020.jpg", + "LCfBYE97rFk/frame_021.jpg", + "LCfBYE97rFk/frame_022.jpg", + "LCfBYE97rFk/frame_023.jpg", + "LCfBYE97rFk/frame_024.jpg", + "LCfBYE97rFk/frame_025.jpg", + "LCfBYE97rFk/frame_026.jpg", + "LCfBYE97rFk/frame_027.jpg", + "LCfBYE97rFk/frame_028.jpg", + "LCfBYE97rFk/frame_029.jpg", + "LCfBYE97rFk/frame_030.jpg", + "LCfBYE97rFk/frame_031.jpg", + "LCfBYE97rFk/frame_032.jpg", + "LCfBYE97rFk/frame_033.jpg", + "LCfBYE97rFk/frame_034.jpg", + "LCfBYE97rFk/frame_035.jpg", + "LCfBYE97rFk/frame_036.jpg", + "LCfBYE97rFk/frame_037.jpg", + "LCfBYE97rFk/frame_038.jpg", + "LCfBYE97rFk/frame_039.jpg", + "LCfBYE97rFk/frame_040.jpg", + "LCfBYE97rFk/frame_041.jpg", + "LCfBYE97rFk/frame_042.jpg", + "LCfBYE97rFk/frame_043.jpg", + "LCfBYE97rFk/frame_044.jpg", + "LCfBYE97rFk/frame_045.jpg", + "LCfBYE97rFk/frame_046.jpg", + "LCfBYE97rFk/frame_047.jpg", + "LCfBYE97rFk/frame_048.jpg", + "LCfBYE97rFk/frame_049.jpg", + "LCfBYE97rFk/frame_050.jpg", + "LCfBYE97rFk/frame_051.jpg", + "LCfBYE97rFk/frame_052.jpg", + "LCfBYE97rFk/frame_053.jpg", + "LCfBYE97rFk/frame_054.jpg", + "LCfBYE97rFk/frame_055.jpg", + "LCfBYE97rFk/frame_056.jpg", + "LCfBYE97rFk/frame_057.jpg", + "LCfBYE97rFk/frame_058.jpg", + "LCfBYE97rFk/frame_059.jpg", + "LCfBYE97rFk/frame_060.jpg", + "LCfBYE97rFk/frame_061.jpg", + "LCfBYE97rFk/frame_062.jpg", + "LCfBYE97rFk/frame_063.jpg", + "LCfBYE97rFk/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a woman talking on her phone while walking down the street and standing in front of a building. A man is seated in a chair, and another woman is holding the camera." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumanHumanInteractionVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumanHumanInteractionVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5a5f7716ae9c03ca9908e07b4a0faada044a1932 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanHumanInteractionVideoCaptioning/annotation.json @@ -0,0 +1,265 @@ +{ + "task": "HumanHumanInteractionVideoCaptioning", + "data_source": "UCF-101, hmdb51", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0038", + "input": { + "video_file_list": [ + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00000.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00010.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00020.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00030.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00040.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00050.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00060.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00070.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00080.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00090.jpg", + "Calins_gratuits_a_Paris_-_Free_Hugs_France_-_version_longue_hug_u_cm_np3_le_med_28/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Hugging fills a lively street corner as a group of people enthusiastically embrace one another." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0219", + "input": { + "video_file_list": [ + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00000.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00010.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00020.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00030.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00040.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00050.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00060.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00070.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00080.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00090.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00100.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00110.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00120.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00130.jpg", + "Zorro_(Funny_Fight_Scene)_fencing_f_cm_np2_fr_med_3/frame_00140.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Fencing is showcased in the video as two individuals move around each other, attempting to score points by striking their opponent with swords in a dimly lit room with a large painting on the wall." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0217", + "input": { + "video_file_list": [ + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00000.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00006.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00012.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00018.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00024.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00030.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00036.jpg", + "KUNG_FU_HUSTLE_kick_f_cm_np1_fr_med_15/frame_00042.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Kicking with his right leg, the man then kicks with his left leg, repeatedly striking walls. This suggests he is practicing martial arts or exercising." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0016", + "input": { + "video_file_list": [ + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00000.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00006.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00012.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00018.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00024.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00030.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00036.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00042.jpg", + "Redrock_Fencing_Club_Stab_N_Grab_Week_9_fencing_f_cm_np2_ri_bad_5/frame_00048.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Fencing match shown in the video features two opponents actively dueling. The background is a gymnasium with a blue floor and white walls." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0110", + "input": { + "video_file_list": [ + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00000.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00010.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00020.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00030.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00040.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00050.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00060.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00070.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00080.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00090.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00100.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00110.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00120.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00130.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00140.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00150.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00160.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00170.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00180.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00190.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00200.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00210.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00220.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00230.jpg", + "Hangingbyamomentfavoritekisses_kiss_u_nm_np2_le_goo_3/frame_00240.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Kissing passionately, the man holds the woman's head, standing close together. Shelves of alcohol fill the background." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0046", + "input": { + "video_file_list": [ + "v_SalsaSpin_g04_c05/frame_00000.jpg", + "v_SalsaSpin_g04_c05/frame_00008.jpg", + "v_SalsaSpin_g04_c05/frame_00016.jpg", + "v_SalsaSpin_g04_c05/frame_00024.jpg", + "v_SalsaSpin_g04_c05/frame_00032.jpg", + "v_SalsaSpin_g04_c05/frame_00040.jpg", + "v_SalsaSpin_g04_c05/frame_00048.jpg", + "v_SalsaSpin_g04_c05/frame_00056.jpg", + "v_SalsaSpin_g04_c05/frame_00064.jpg", + "v_SalsaSpin_g04_c05/frame_00072.jpg", + "v_SalsaSpin_g04_c05/frame_00080.jpg", + "v_SalsaSpin_g04_c05/frame_00088.jpg", + "v_SalsaSpin_g04_c05/frame_00096.jpg", + "v_SalsaSpin_g04_c05/frame_00104.jpg", + "v_SalsaSpin_g04_c05/frame_00112.jpg", + "v_SalsaSpin_g04_c05/frame_00120.jpg", + "v_SalsaSpin_g04_c05/frame_00128.jpg", + "v_SalsaSpin_g04_c05/frame_00136.jpg", + "v_SalsaSpin_g04_c05/frame_00144.jpg", + "v_SalsaSpin_g04_c05/frame_00152.jpg", + "v_SalsaSpin_g04_c05/frame_00160.jpg", + "v_SalsaSpin_g04_c05/frame_00168.jpg", + "v_SalsaSpin_g04_c05/frame_00176.jpg", + "v_SalsaSpin_g04_c05/frame_00184.jpg", + "v_SalsaSpin_g04_c05/frame_00192.jpg", + "v_SalsaSpin_g04_c05/frame_00200.jpg", + "v_SalsaSpin_g04_c05/frame_00208.jpg", + "v_SalsaSpin_g04_c05/frame_00216.jpg", + "v_SalsaSpin_g04_c05/frame_00224.jpg", + "v_SalsaSpin_g04_c05/frame_00232.jpg", + "v_SalsaSpin_g04_c05/frame_00240.jpg", + "v_SalsaSpin_g04_c05/frame_00248.jpg", + "v_SalsaSpin_g04_c05/frame_00256.jpg", + "v_SalsaSpin_g04_c05/frame_00264.jpg", + "v_SalsaSpin_g04_c05/frame_00272.jpg", + "v_SalsaSpin_g04_c05/frame_00280.jpg", + "v_SalsaSpin_g04_c05/frame_00288.jpg", + "v_SalsaSpin_g04_c05/frame_00296.jpg", + "v_SalsaSpin_g04_c05/frame_00304.jpg", + "v_SalsaSpin_g04_c05/frame_00312.jpg", + "v_SalsaSpin_g04_c05/frame_00320.jpg", + "v_SalsaSpin_g04_c05/frame_00328.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "SalsaSpin features two dancers spinning around each other, showcasing impressive coordination and skill as they move gracefully across the hardwood floor." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0015", + "input": { + "video_file_list": [ + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00000.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00010.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00020.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00030.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00040.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00050.jpg", + "Blade_Vs_Deacon_Frost_Sword_Fight_Scene_sword_f_cm_np2_le_med_1/frame_00060.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Sword fighting is observed in the video as two individuals engage in combat in a dimly lit room." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0169", + "input": { + "video_file_list": [ + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00000.jpg", + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00006.jpg", + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00012.jpg", + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00018.jpg", + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00024.jpg", + "kick__bruce_lee_v_s_japanese_kick_u_cm_np1_ri_bad_9/frame_00030.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Kicking another man in the head, the attacker causes the victim to fall to the ground." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0222", + "input": { + "video_file_list": [ + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00000.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00006.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00012.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00018.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00024.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00030.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00036.jpg", + "Duel_with_Rapiers_fencing_f_cm_np2_ba_bad_1/frame_00042.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Fencing matches unfold in the video as two skilled opponents parry each other's attacks. The audience enjoys the spectacle." + } + }, + { + "id": "vc_closeset_humanhumaninteractionvideocaptioning_0004", + "input": { + "video_file_list": [ + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00000.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00006.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00012.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00018.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00024.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00030.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00036.jpg", + "AdvancedBoxingTechniquesandExercises_punch_u_nm_np1_ri_med_9/frame_00042.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Punching the bag with his right hand, the man turns around and walks away." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumanObjectInteractionVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumanObjectInteractionVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8b823b2e40a5616072a7f5142f4268a5964a3916 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanObjectInteractionVideoCaptioning/annotation.json @@ -0,0 +1,264 @@ +{ + "task": "HumanObjectInteractionVideoCaptioning", + "data_source": "UCF-101, hmdb51", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0217", + "input": { + "video_file_list": [ + "v_SoccerJuggling_g07_c04/frame_00000.jpg", + "v_SoccerJuggling_g07_c04/frame_00009.jpg", + "v_SoccerJuggling_g07_c04/frame_00018.jpg", + "v_SoccerJuggling_g07_c04/frame_00027.jpg", + "v_SoccerJuggling_g07_c04/frame_00036.jpg", + "v_SoccerJuggling_g07_c04/frame_00045.jpg", + "v_SoccerJuggling_g07_c04/frame_00054.jpg", + "v_SoccerJuggling_g07_c04/frame_00063.jpg", + "v_SoccerJuggling_g07_c04/frame_00072.jpg", + "v_SoccerJuggling_g07_c04/frame_00081.jpg", + "v_SoccerJuggling_g07_c04/frame_00090.jpg", + "v_SoccerJuggling_g07_c04/frame_00099.jpg", + "v_SoccerJuggling_g07_c04/frame_00108.jpg", + "v_SoccerJuggling_g07_c04/frame_00117.jpg", + "v_SoccerJuggling_g07_c04/frame_00126.jpg", + "v_SoccerJuggling_g07_c04/frame_00135.jpg", + "v_SoccerJuggling_g07_c04/frame_00144.jpg", + "v_SoccerJuggling_g07_c04/frame_00153.jpg", + "v_SoccerJuggling_g07_c04/frame_00162.jpg", + "v_SoccerJuggling_g07_c04/frame_00171.jpg", + "v_SoccerJuggling_g07_c04/frame_00180.jpg", + "v_SoccerJuggling_g07_c04/frame_00189.jpg", + "v_SoccerJuggling_g07_c04/frame_00198.jpg", + "v_SoccerJuggling_g07_c04/frame_00207.jpg", + "v_SoccerJuggling_g07_c04/frame_00216.jpg", + "v_SoccerJuggling_g07_c04/frame_00225.jpg", + "v_SoccerJuggling_g07_c04/frame_00234.jpg", + "v_SoccerJuggling_g07_c04/frame_00243.jpg", + "v_SoccerJuggling_g07_c04/frame_00252.jpg", + "v_SoccerJuggling_g07_c04/frame_00261.jpg", + "v_SoccerJuggling_g07_c04/frame_00270.jpg", + "v_SoccerJuggling_g07_c04/frame_00279.jpg", + "v_SoccerJuggling_g07_c04/frame_00288.jpg", + "v_SoccerJuggling_g07_c04/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Soccer juggling: A young boy kicks a ball up into the air and juggles it as it falls back down." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0365", + "input": { + "video_file_list": [ + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00000.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00010.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00020.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00030.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00040.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00050.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00060.jpg", + "_Art_of_the_Drink__Flaming_Zombie_pour_u_nm_np2_fr_med_0/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Pouring begins as the man pours a drink into a glass. He then shakes it and pours it again." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0129", + "input": { + "video_file_list": [ + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00000.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00010.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00020.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00030.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00040.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00050.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00060.jpg", + "bri_vega_golf_f_cm_np1_fr_med_0/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Golf swing demonstrated: A man swings a golf club, hitting a ball on a field. A green bag is nearby." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0535", + "input": { + "video_file_list": [ + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00000.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00010.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00020.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00030.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00040.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00050.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00060.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00070.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00080.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00090.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00100.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00110.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00120.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00130.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00140.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00150.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00160.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00170.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00180.jpg", + "JuanReneSerranoSemifinal_shoot_bow_u_cm_np1_le_goo_4/frame_00190.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Shooting the bow, the man hits the target." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0489", + "input": { + "video_file_list": [ + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00000.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00010.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00020.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00030.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00040.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00050.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00060.jpg", + "Kamikaze_Martini_Coctail_pour_u_nm_np1_fr_med_1/frame_00070.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Pouring something into a glass, a man behind the bar focuses on making a drink, with various bottles and glasses in the background." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0459", + "input": { + "video_file_list": [ + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00000.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00006.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00012.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00018.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00024.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00030.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00036.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00042.jpg", + "Shadow_of_a_Doubt_throw_u_cm_np1_ba_med_0/frame_00048.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Throwing something across a room, the man exerts force with each toss, suggesting anger or frustration." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0164", + "input": { + "video_file_list": [ + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00000.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00010.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00020.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00030.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00040.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00050.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00060.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00070.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00080.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00090.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00100.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00110.jpg", + "TurkishBowDrOzveri_shoot_bow_u_cm_np1_fr_med_1/frame_00120.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "shoot_bow: A man releases an arrow across the room using a bow." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideocaptioning_0249", + "input": { + "video_file_list": [ + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00000.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00010.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00020.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00030.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00040.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00050.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00060.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00070.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00080.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00090.jpg", + "SarahPlayingBasketBall_dribble_f_cm_np1_le_med_1/frame_00100.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Dribbling a basketball on an outdoor court, the girl throws it through the hoop and walks away." + } + }, + { + "id": 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operating a dishwasher." + } + }, + { + "id": "vc_closeset_humanobjectinteractionvideoquestionanswering_0055", + "input": { + "video_file_list": [ + "CShgjDBhQgo/0.jpg", + "CShgjDBhQgo/1.jpg", + "CShgjDBhQgo/2.jpg", + "CShgjDBhQgo/3.jpg", + "CShgjDBhQgo/4.jpg", + "CShgjDBhQgo/5.jpg", + "CShgjDBhQgo/6.jpg", + "CShgjDBhQgo/7.jpg", + "CShgjDBhQgo/8.jpg", + "CShgjDBhQgo/9.jpg", + "CShgjDBhQgo/10.jpg", + "CShgjDBhQgo/11.jpg", + "CShgjDBhQgo/12.jpg", + "CShgjDBhQgo/13.jpg", + "CShgjDBhQgo/14.jpg", + "CShgjDBhQgo/15.jpg", + "CShgjDBhQgo/16.jpg", + "CShgjDBhQgo/17.jpg", + "CShgjDBhQgo/18.jpg", + "CShgjDBhQgo/19.jpg", + "CShgjDBhQgo/20.jpg", + "CShgjDBhQgo/21.jpg", + "CShgjDBhQgo/22.jpg", + "CShgjDBhQgo/23.jpg", + "CShgjDBhQgo/24.jpg", + "CShgjDBhQgo/25.jpg", + "CShgjDBhQgo/26.jpg", + "CShgjDBhQgo/27.jpg", + "CShgjDBhQgo/28.jpg", + "CShgjDBhQgo/29.jpg", + "CShgjDBhQgo/30.jpg", + "CShgjDBhQgo/31.jpg", + "CShgjDBhQgo/32.jpg", + "CShgjDBhQgo/33.jpg", + "CShgjDBhQgo/34.jpg", + "CShgjDBhQgo/35.jpg", 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"input": { + "video_file_list": [ + "04UcTOyN0RM/0.jpg", + "04UcTOyN0RM/1.jpg", + "04UcTOyN0RM/2.jpg", + "04UcTOyN0RM/3.jpg", + "04UcTOyN0RM/4.jpg", + "04UcTOyN0RM/5.jpg", + "04UcTOyN0RM/6.jpg", + "04UcTOyN0RM/7.jpg", + "04UcTOyN0RM/8.jpg", + "04UcTOyN0RM/9.jpg", + "04UcTOyN0RM/10.jpg", + "04UcTOyN0RM/11.jpg", + "04UcTOyN0RM/12.jpg", + "04UcTOyN0RM/13.jpg", + "04UcTOyN0RM/14.jpg", + "04UcTOyN0RM/15.jpg", + "04UcTOyN0RM/16.jpg", + "04UcTOyN0RM/17.jpg", + "04UcTOyN0RM/18.jpg", + "04UcTOyN0RM/19.jpg", + "04UcTOyN0RM/20.jpg", + "04UcTOyN0RM/21.jpg", + "04UcTOyN0RM/22.jpg", + "04UcTOyN0RM/23.jpg", + "04UcTOyN0RM/24.jpg", + "04UcTOyN0RM/25.jpg", + "04UcTOyN0RM/26.jpg", + "04UcTOyN0RM/27.jpg", + "04UcTOyN0RM/28.jpg", + "04UcTOyN0RM/29.jpg", + "04UcTOyN0RM/30.jpg", + "04UcTOyN0RM/31.jpg", + "04UcTOyN0RM/32.jpg", + "04UcTOyN0RM/33.jpg", + "04UcTOyN0RM/34.jpg", + "04UcTOyN0RM/35.jpg", + "04UcTOyN0RM/36.jpg", + "04UcTOyN0RM/37.jpg", + "04UcTOyN0RM/38.jpg", + "04UcTOyN0RM/39.jpg", + 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0000000000000000000000000000000000000000..a9c284fa84820c554b5cecd3d2e12e9b19c8071e --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanPartTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, LaSOT part-level video, person part", + "data_source": "LaSOT", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1276", + "input": { + "video_folder": "./images/1276", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1159", + "input": { + "video_folder": "./images/1159", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1496", + "input": { + "video_folder": "./images/1496", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1045", + "input": { + "video_folder": "./images/1045", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1172", + "input": { + "video_folder": "./images/1172", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumanSurvivalVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumanSurvivalVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..65951e9ee0af27da226fb7d6f16869ec77905672 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanSurvivalVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "HumanSurvivalVideoQuestionAnswering", + "data_source": "wildqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0098", + "input": { + "video_file_list": [ + "303/0.jpg", + "303/1.jpg", + "303/2.jpg", + "303/3.jpg", + "303/4.jpg", + "303/5.jpg", + "303/6.jpg", + "303/7.jpg", + "303/8.jpg", + "303/9.jpg", + "303/10.jpg", + "303/11.jpg", + "303/12.jpg", + "303/13.jpg", + "303/14.jpg", + "303/15.jpg", + "303/16.jpg", + "303/17.jpg", + "303/18.jpg", + "303/19.jpg", + "303/20.jpg", + "303/21.jpg", + "303/22.jpg", + "303/23.jpg", + "303/24.jpg", + "303/25.jpg", + "303/26.jpg", + "303/27.jpg", + "303/28.jpg", + "303/29.jpg", + "303/30.jpg", + "303/31.jpg", + "303/32.jpg", + "303/33.jpg", + "303/34.jpg", + "303/35.jpg", + "303/36.jpg", + "303/37.jpg", + "303/38.jpg", + "303/39.jpg", + "303/40.jpg", + "303/41.jpg", + "303/42.jpg", + "303/43.jpg", + "303/44.jpg", + "303/45.jpg", + "303/46.jpg", + "303/47.jpg", + "303/48.jpg", + "303/49.jpg", + "303/50.jpg", + "303/51.jpg", + "303/52.jpg", + "303/53.jpg", + "303/54.jpg", + "303/55.jpg", + "303/56.jpg", + "303/57.jpg", + "303/58.jpg", + "303/59.jpg", + "303/60.jpg", + "303/61.jpg", + "303/62.jpg", + "303/63.jpg" + ], + "prompt": "What is the man doing to the log on the ground?" + }, + "output": { + "text": "It appears that he is chopping off smaller branches from the log to clean it up to potentially use." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0041", + "input": { + "video_file_list": [ + "354/0.jpg", + "354/1.jpg", + "354/2.jpg", + "354/3.jpg", + "354/4.jpg", + "354/5.jpg", + "354/6.jpg", + "354/7.jpg", + "354/8.jpg", + "354/9.jpg", + "354/10.jpg", + "354/11.jpg", + "354/12.jpg", + "354/13.jpg", + "354/14.jpg", + "354/15.jpg", + "354/16.jpg", + "354/17.jpg", + "354/18.jpg", + "354/19.jpg", + "354/20.jpg", + "354/21.jpg", + "354/22.jpg", + "354/23.jpg", + "354/24.jpg", + "354/25.jpg", + "354/26.jpg", + "354/27.jpg", + "354/28.jpg", + "354/29.jpg", + "354/30.jpg", + "354/31.jpg", + "354/32.jpg", + "354/33.jpg", + "354/34.jpg", + "354/35.jpg", + "354/36.jpg", + "354/37.jpg", + "354/38.jpg", + "354/39.jpg", + "354/40.jpg", + "354/41.jpg", + "354/42.jpg", + "354/43.jpg", + "354/44.jpg", + "354/45.jpg", + "354/46.jpg", + "354/47.jpg", + "354/48.jpg", + "354/49.jpg", + "354/50.jpg", + "354/51.jpg", + "354/52.jpg", + "354/53.jpg", + "354/54.jpg", + "354/55.jpg", + "354/56.jpg", + "354/57.jpg", + "354/58.jpg", + "354/59.jpg", + "354/60.jpg", + "354/61.jpg", + "354/62.jpg", + "354/63.jpg" + ], + "prompt": "Why is the man placing sticks into the soil?" + }, + "output": { + "text": "The human is putting sticks into the ground to keep the soil rich with nutrients." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0054", + "input": { + "video_file_list": [ + "192/0.jpg", + "192/1.jpg", + "192/2.jpg", + "192/3.jpg", + "192/4.jpg", + "192/5.jpg", + "192/6.jpg", + "192/7.jpg", + "192/8.jpg", + "192/9.jpg", + "192/10.jpg", + "192/11.jpg", + "192/12.jpg", + "192/13.jpg", + "192/14.jpg", + "192/15.jpg", + "192/16.jpg", + "192/17.jpg", + "192/18.jpg", + "192/19.jpg", + "192/20.jpg", + "192/21.jpg", + "192/22.jpg", + "192/23.jpg", + "192/24.jpg", + "192/25.jpg", + "192/26.jpg", + "192/27.jpg", + "192/28.jpg", + "192/29.jpg", + "192/30.jpg", + "192/31.jpg", + "192/32.jpg", + "192/33.jpg", + "192/34.jpg", + "192/35.jpg", + "192/36.jpg", + "192/37.jpg", + "192/38.jpg", + "192/39.jpg", + "192/40.jpg", + "192/41.jpg", + "192/42.jpg", + "192/43.jpg", + "192/44.jpg", + "192/45.jpg", + "192/46.jpg", + "192/47.jpg", + "192/48.jpg", + "192/49.jpg", + "192/50.jpg", + "192/51.jpg", + "192/52.jpg", + "192/53.jpg", + "192/54.jpg", + "192/55.jpg", + "192/56.jpg", + "192/57.jpg", + "192/58.jpg", + "192/59.jpg", + "192/60.jpg", + "192/61.jpg", + "192/62.jpg", + "192/63.jpg" + ], + "prompt": "How are the men storing the crabs they find?" + }, + "output": { + "text": "A bamboo shaft" + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0006", + "input": { + "video_file_list": [ + "343/0.jpg", + "343/1.jpg", + "343/2.jpg", + "343/3.jpg", + "343/4.jpg", + "343/5.jpg", + "343/6.jpg", + "343/7.jpg", + "343/8.jpg", + "343/9.jpg", + "343/10.jpg", + "343/11.jpg", + "343/12.jpg", + "343/13.jpg", + "343/14.jpg", + "343/15.jpg", + "343/16.jpg", + "343/17.jpg", + "343/18.jpg", + "343/19.jpg", + "343/20.jpg", + "343/21.jpg", + "343/22.jpg", + "343/23.jpg", + "343/24.jpg", + "343/25.jpg", + "343/26.jpg", + "343/27.jpg", + "343/28.jpg", + "343/29.jpg", + "343/30.jpg", + "343/31.jpg", + "343/32.jpg", + "343/33.jpg", + "343/34.jpg", + "343/35.jpg", + "343/36.jpg", + "343/37.jpg", + "343/38.jpg", + "343/39.jpg", + "343/40.jpg", + "343/41.jpg", + "343/42.jpg", + "343/43.jpg", + "343/44.jpg", + "343/45.jpg", + "343/46.jpg", + "343/47.jpg", + "343/48.jpg", + "343/49.jpg", + "343/50.jpg", + "343/51.jpg", + "343/52.jpg", + "343/53.jpg", + "343/54.jpg", + "343/55.jpg", + "343/56.jpg", + "343/57.jpg", + "343/58.jpg", + "343/59.jpg", + "343/60.jpg", + "343/61.jpg", + "343/62.jpg", + "343/63.jpg" + ], + "prompt": "What is the human creating." + }, + "output": { + "text": "The human is weaving a cloth out of a yarn like material." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0087", + "input": { + "video_file_list": [ + "346/0.jpg", + "346/1.jpg", + "346/2.jpg", + "346/3.jpg", + "346/4.jpg", + "346/5.jpg", + "346/6.jpg", + "346/7.jpg", + "346/8.jpg", + "346/9.jpg", + "346/10.jpg", + "346/11.jpg", + "346/12.jpg", + "346/13.jpg", + "346/14.jpg", + "346/15.jpg", + "346/16.jpg", + "346/17.jpg", + "346/18.jpg", + "346/19.jpg", + "346/20.jpg", + "346/21.jpg", + "346/22.jpg", + "346/23.jpg", + "346/24.jpg", + "346/25.jpg", + "346/26.jpg", + "346/27.jpg", + "346/28.jpg", + "346/29.jpg", + "346/30.jpg", + "346/31.jpg", + "346/32.jpg", + "346/33.jpg", + "346/34.jpg", + "346/35.jpg", + "346/36.jpg", + "346/37.jpg", + "346/38.jpg", + "346/39.jpg", + "346/40.jpg", + "346/41.jpg", + "346/42.jpg", + "346/43.jpg", + "346/44.jpg", + "346/45.jpg", + "346/46.jpg", + "346/47.jpg", + "346/48.jpg", + "346/49.jpg", + "346/50.jpg", + "346/51.jpg", + "346/52.jpg", + "346/53.jpg", + "346/54.jpg", + "346/55.jpg", + "346/56.jpg", + "346/57.jpg", + "346/58.jpg", + "346/59.jpg", + "346/60.jpg", + "346/61.jpg", + "346/62.jpg", + "346/63.jpg" + ], + "prompt": "Does the human have food?" + }, + "output": { + "text": "The human is trying to catch a crab." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0119", + "input": { + "video_file_list": [ + "372/0.jpg", + "372/1.jpg", + "372/2.jpg", + "372/3.jpg", + "372/4.jpg", + "372/5.jpg", + "372/6.jpg", + "372/7.jpg", + "372/8.jpg", + "372/9.jpg", + "372/10.jpg", + "372/11.jpg", + "372/12.jpg", + "372/13.jpg", + "372/14.jpg", + "372/15.jpg", + "372/16.jpg", + "372/17.jpg", + "372/18.jpg", + "372/19.jpg", + "372/20.jpg", + "372/21.jpg", + "372/22.jpg", + "372/23.jpg", + "372/24.jpg", + "372/25.jpg", + "372/26.jpg", + "372/27.jpg", + "372/28.jpg", + "372/29.jpg", + "372/30.jpg", + "372/31.jpg", + "372/32.jpg", + "372/33.jpg", + "372/34.jpg", + "372/35.jpg", + "372/36.jpg", + "372/37.jpg", + "372/38.jpg", + "372/39.jpg", + "372/40.jpg", + "372/41.jpg", + "372/42.jpg", + "372/43.jpg", + "372/44.jpg", + "372/45.jpg", + "372/46.jpg", + "372/47.jpg", + "372/48.jpg", + "372/49.jpg", + "372/50.jpg", + "372/51.jpg", + "372/52.jpg", + "372/53.jpg", + "372/54.jpg", + "372/55.jpg", + "372/56.jpg", + "372/57.jpg", + "372/58.jpg", + "372/59.jpg", + "372/60.jpg", + "372/61.jpg", + "372/62.jpg", + "372/63.jpg" + ], + "prompt": "Are these men camping?" + }, + "output": { + "text": "Judging by them cooking ribeye over a fire at night and then the scene after being daytime again, I am assuming they stayed the night there." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0077", + "input": { + "video_file_list": [ + "200/0.jpg", + "200/1.jpg", + "200/2.jpg", + "200/3.jpg", + "200/4.jpg", + "200/5.jpg", + "200/6.jpg", + "200/7.jpg", + "200/8.jpg", + "200/9.jpg", + "200/10.jpg", + "200/11.jpg", + "200/12.jpg", + "200/13.jpg", + "200/14.jpg", + "200/15.jpg", + "200/16.jpg", + "200/17.jpg", + "200/18.jpg", + "200/19.jpg", + "200/20.jpg", + "200/21.jpg", + "200/22.jpg", + "200/23.jpg", + "200/24.jpg", + "200/25.jpg", + "200/26.jpg", + "200/27.jpg", + "200/28.jpg", + "200/29.jpg", + "200/30.jpg", + "200/31.jpg", + "200/32.jpg", + "200/33.jpg", + "200/34.jpg", + "200/35.jpg", + "200/36.jpg", + "200/37.jpg", + "200/38.jpg", + "200/39.jpg", + "200/40.jpg", + "200/41.jpg", + "200/42.jpg", + "200/43.jpg", + "200/44.jpg", + "200/45.jpg", + "200/46.jpg", + "200/47.jpg", + "200/48.jpg", + "200/49.jpg", + "200/50.jpg", + "200/51.jpg", + "200/52.jpg", + "200/53.jpg", + "200/54.jpg", + "200/55.jpg", + "200/56.jpg", + "200/57.jpg", + "200/58.jpg", + "200/59.jpg", + "200/60.jpg", + "200/61.jpg", + "200/62.jpg", + "200/63.jpg" + ], + "prompt": "What are they using as silverware" + }, + "output": { + "text": "Chopsticks" + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0118", + "input": { + "video_file_list": [ + "189/0.jpg", + "189/1.jpg", + "189/2.jpg", + "189/3.jpg", + "189/4.jpg", + "189/5.jpg", + "189/6.jpg", + "189/7.jpg", + "189/8.jpg", + "189/9.jpg", + "189/10.jpg", + "189/11.jpg", + "189/12.jpg", + "189/13.jpg", + "189/14.jpg", + "189/15.jpg", + "189/16.jpg", + "189/17.jpg", + "189/18.jpg", + "189/19.jpg", + "189/20.jpg", + "189/21.jpg", + "189/22.jpg", + "189/23.jpg", + "189/24.jpg", + "189/25.jpg", + "189/26.jpg", + "189/27.jpg", + "189/28.jpg", + "189/29.jpg", + "189/30.jpg", + "189/31.jpg", + "189/32.jpg", + "189/33.jpg", + "189/34.jpg", + "189/35.jpg", + "189/36.jpg", + "189/37.jpg", + "189/38.jpg", + "189/39.jpg", + "189/40.jpg", + "189/41.jpg", + "189/42.jpg", + "189/43.jpg", + "189/44.jpg", + "189/45.jpg", + "189/46.jpg", + "189/47.jpg", + "189/48.jpg", + "189/49.jpg", + "189/50.jpg", + "189/51.jpg", + "189/52.jpg", + "189/53.jpg", + "189/54.jpg", + "189/55.jpg", + "189/56.jpg", + "189/57.jpg", + "189/58.jpg", + "189/59.jpg", + "189/60.jpg", + "189/61.jpg", + "189/62.jpg", + "189/63.jpg" + ], + "prompt": "How is the foundation supported?" + }, + "output": { + "text": "Thick logs connected through bamboo sticks" + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0070", + "input": { + "video_file_list": [ + "197/0.jpg", + "197/1.jpg", + "197/2.jpg", + "197/3.jpg", + "197/4.jpg", + "197/5.jpg", + "197/6.jpg", + "197/7.jpg", + "197/8.jpg", + "197/9.jpg", + "197/10.jpg", + "197/11.jpg", + "197/12.jpg", + "197/13.jpg", + "197/14.jpg", + "197/15.jpg", + "197/16.jpg", + "197/17.jpg", + "197/18.jpg", + "197/19.jpg", + "197/20.jpg", + "197/21.jpg", + "197/22.jpg", + "197/23.jpg", + "197/24.jpg", + "197/25.jpg", + "197/26.jpg", + "197/27.jpg", + "197/28.jpg", + "197/29.jpg", + "197/30.jpg", + "197/31.jpg", + "197/32.jpg", + "197/33.jpg", + "197/34.jpg", + "197/35.jpg", + "197/36.jpg", + "197/37.jpg", + "197/38.jpg", + "197/39.jpg", + "197/40.jpg", + "197/41.jpg", + "197/42.jpg", + "197/43.jpg", + "197/44.jpg", + "197/45.jpg", + "197/46.jpg", + "197/47.jpg", + "197/48.jpg", + "197/49.jpg", + "197/50.jpg", + "197/51.jpg", + "197/52.jpg", + "197/53.jpg", + "197/54.jpg", + "197/55.jpg", + "197/56.jpg", + "197/57.jpg", + "197/58.jpg", + "197/59.jpg", + "197/60.jpg", + "197/61.jpg", + "197/62.jpg", + "197/63.jpg" + ], + "prompt": "Is the man creating spark to set the kindling on fire?" + }, + "output": { + "text": "Yes, the man is trying to set the kindling on fire." + } + }, + { + "id": "vc_closeset_humansurvivalvideoquestionanswering_0106", + "input": { + "video_file_list": [ + "240/0.jpg", + "240/1.jpg", + "240/2.jpg", + "240/3.jpg", + "240/4.jpg", + "240/5.jpg", + "240/6.jpg", + "240/7.jpg", + "240/8.jpg", + "240/9.jpg", + "240/10.jpg", + "240/11.jpg", + "240/12.jpg", + "240/13.jpg", + "240/14.jpg", + "240/15.jpg", + "240/16.jpg", + "240/17.jpg", + "240/18.jpg", + "240/19.jpg", + "240/20.jpg", + "240/21.jpg", + "240/22.jpg", + "240/23.jpg", + "240/24.jpg", + "240/25.jpg", + "240/26.jpg", + "240/27.jpg", + "240/28.jpg", + "240/29.jpg", + "240/30.jpg", + "240/31.jpg", + "240/32.jpg", + "240/33.jpg", + "240/34.jpg", + "240/35.jpg", + "240/36.jpg", + "240/37.jpg", + "240/38.jpg", + "240/39.jpg", + "240/40.jpg", + "240/41.jpg", + "240/42.jpg", + "240/43.jpg", + "240/44.jpg", + "240/45.jpg", + "240/46.jpg", + "240/47.jpg", + "240/48.jpg", + "240/49.jpg", + "240/50.jpg", + "240/51.jpg", + "240/52.jpg", + "240/53.jpg", + "240/54.jpg", + "240/55.jpg", + "240/56.jpg", + "240/57.jpg", + "240/58.jpg", + "240/59.jpg", + "240/60.jpg", + "240/61.jpg", + "240/62.jpg", + "240/63.jpg" + ], + "prompt": "Is there a fire?" + }, + "output": { + "text": "Yes there is a fire." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumanTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumanTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..589eb08e445a4fab68ceadf3934a754a6c75e512 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, vot video, person", + "data_source": "VOT2022", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0358", + "input": { + "video_folder": "./images/0358", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1269", + "input": { + "video_folder": "./images/1269", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1713", + "input": { + "video_folder": "./images/1713", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1392", + "input": { + "video_folder": "./images/1392", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1426", + "input": { + "video_folder": "./images/1426", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumanVideoSalientDetection/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumanVideoSalientDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2ab0f9d06b6dbca06abc6c744922455564232846 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumanVideoSalientDetection/annotation.json @@ -0,0 +1,711 @@ +{ + "task": "FoodVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_foodvideocaptioning_0021", + "input": { + "video_file_list": [ + "YN2URsx8gIs/frame_001.jpg", + "YN2URsx8gIs/frame_002.jpg", + "YN2URsx8gIs/frame_003.jpg", + "YN2URsx8gIs/frame_004.jpg", + "YN2URsx8gIs/frame_005.jpg", + "YN2URsx8gIs/frame_006.jpg", + "YN2URsx8gIs/frame_007.jpg", + "YN2URsx8gIs/frame_008.jpg", + "YN2URsx8gIs/frame_009.jpg", + "YN2URsx8gIs/frame_010.jpg", + "YN2URsx8gIs/frame_011.jpg", + "YN2URsx8gIs/frame_012.jpg", + "YN2URsx8gIs/frame_013.jpg", + "YN2URsx8gIs/frame_014.jpg", + "YN2URsx8gIs/frame_015.jpg", + "YN2URsx8gIs/frame_016.jpg", + "YN2URsx8gIs/frame_017.jpg", + "YN2URsx8gIs/frame_018.jpg", + "YN2URsx8gIs/frame_019.jpg", + "YN2URsx8gIs/frame_020.jpg", + "YN2URsx8gIs/frame_021.jpg", + "YN2URsx8gIs/frame_022.jpg", + "YN2URsx8gIs/frame_023.jpg", + "YN2URsx8gIs/frame_024.jpg", + "YN2URsx8gIs/frame_025.jpg", + "YN2URsx8gIs/frame_026.jpg", + "YN2URsx8gIs/frame_027.jpg", + "YN2URsx8gIs/frame_028.jpg", + "YN2URsx8gIs/frame_029.jpg", + "YN2URsx8gIs/frame_030.jpg", + "YN2URsx8gIs/frame_031.jpg", + "YN2URsx8gIs/frame_032.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman eating fried chicken and a sandwich, drinking soda, and also consuming a piece of bread at a table with others. It concludes with an image of the KFC logo on a red background." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0014", + "input": { + "video_file_list": [ + "AnFxFeH2zTY/frame_001.jpg", + "AnFxFeH2zTY/frame_002.jpg", + "AnFxFeH2zTY/frame_003.jpg", + "AnFxFeH2zTY/frame_004.jpg", + "AnFxFeH2zTY/frame_005.jpg", + "AnFxFeH2zTY/frame_006.jpg", + "AnFxFeH2zTY/frame_007.jpg", + "AnFxFeH2zTY/frame_008.jpg", + "AnFxFeH2zTY/frame_009.jpg", + "AnFxFeH2zTY/frame_010.jpg", + "AnFxFeH2zTY/frame_011.jpg", + "AnFxFeH2zTY/frame_012.jpg", + "AnFxFeH2zTY/frame_013.jpg", + "AnFxFeH2zTY/frame_014.jpg", + "AnFxFeH2zTY/frame_015.jpg", + "AnFxFeH2zTY/frame_016.jpg", + "AnFxFeH2zTY/frame_017.jpg", + "AnFxFeH2zTY/frame_018.jpg", + "AnFxFeH2zTY/frame_019.jpg", + "AnFxFeH2zTY/frame_020.jpg", + "AnFxFeH2zTY/frame_021.jpg", + "AnFxFeH2zTY/frame_022.jpg", + "AnFxFeH2zTY/frame_023.jpg", + "AnFxFeH2zTY/frame_024.jpg", + "AnFxFeH2zTY/frame_025.jpg", + "AnFxFeH2zTY/frame_026.jpg", + "AnFxFeH2zTY/frame_027.jpg", + 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The finished drink is presented with an orange twist and a cherry as garnish." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0006", + "input": { + "video_file_list": [ + "u0GSFSvWDG4/frame_001.jpg", + "u0GSFSvWDG4/frame_002.jpg", + "u0GSFSvWDG4/frame_003.jpg", + "u0GSFSvWDG4/frame_004.jpg", + "u0GSFSvWDG4/frame_005.jpg", + "u0GSFSvWDG4/frame_006.jpg", + "u0GSFSvWDG4/frame_007.jpg", + "u0GSFSvWDG4/frame_008.jpg", + "u0GSFSvWDG4/frame_009.jpg", + "u0GSFSvWDG4/frame_010.jpg", + "u0GSFSvWDG4/frame_011.jpg", + "u0GSFSvWDG4/frame_012.jpg", + "u0GSFSvWDG4/frame_013.jpg", + "u0GSFSvWDG4/frame_014.jpg", + "u0GSFSvWDG4/frame_015.jpg", + "u0GSFSvWDG4/frame_016.jpg", + "u0GSFSvWDG4/frame_017.jpg", + "u0GSFSvWDG4/frame_018.jpg", + "u0GSFSvWDG4/frame_019.jpg", + "u0GSFSvWDG4/frame_020.jpg", + "u0GSFSvWDG4/frame_021.jpg", + "u0GSFSvWDG4/frame_022.jpg", + "u0GSFSvWDG4/frame_023.jpg", + "u0GSFSvWDG4/frame_024.jpg", + "u0GSFSvWDG4/frame_025.jpg", + "u0GSFSvWDG4/frame_026.jpg", + "u0GSFSvWDG4/frame_027.jpg", + "u0GSFSvWDG4/frame_028.jpg", + "u0GSFSvWDG4/frame_029.jpg", + "u0GSFSvWDG4/frame_030.jpg", + "u0GSFSvWDG4/frame_031.jpg", + "u0GSFSvWDG4/frame_032.jpg", + "u0GSFSvWDG4/frame_033.jpg", + "u0GSFSvWDG4/frame_034.jpg", + "u0GSFSvWDG4/frame_035.jpg", + "u0GSFSvWDG4/frame_036.jpg", + "u0GSFSvWDG4/frame_037.jpg", + "u0GSFSvWDG4/frame_038.jpg", + "u0GSFSvWDG4/frame_039.jpg", + "u0GSFSvWDG4/frame_040.jpg", + "u0GSFSvWDG4/frame_041.jpg", + "u0GSFSvWDG4/frame_042.jpg", + "u0GSFSvWDG4/frame_043.jpg", + "u0GSFSvWDG4/frame_044.jpg", + "u0GSFSvWDG4/frame_045.jpg", + "u0GSFSvWDG4/frame_046.jpg", + "u0GSFSvWDG4/frame_047.jpg", + "u0GSFSvWDG4/frame_048.jpg", + "u0GSFSvWDG4/frame_049.jpg", + "u0GSFSvWDG4/frame_050.jpg", + "u0GSFSvWDG4/frame_051.jpg", + "u0GSFSvWDG4/frame_052.jpg", + "u0GSFSvWDG4/frame_053.jpg", + "u0GSFSvWDG4/frame_054.jpg", + "u0GSFSvWDG4/frame_055.jpg", + "u0GSFSvWDG4/frame_056.jpg", + "u0GSFSvWDG4/frame_057.jpg", + "u0GSFSvWDG4/frame_058.jpg", + "u0GSFSvWDG4/frame_059.jpg", + "u0GSFSvWDG4/frame_060.jpg", + "u0GSFSvWDG4/frame_061.jpg", + "u0GSFSvWDG4/frame_062.jpg", + "u0GSFSvWDG4/frame_063.jpg", + "u0GSFSvWDG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man dining with friends at a restaurant, savoring dishes like shrimp and lobster. He is wearing an apron and holds up food for the camera." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0015", + "input": { + "video_file_list": [ + "sWdMVLTeIxo/frame_001.jpg", + "sWdMVLTeIxo/frame_002.jpg", + "sWdMVLTeIxo/frame_003.jpg", + "sWdMVLTeIxo/frame_004.jpg", + "sWdMVLTeIxo/frame_005.jpg", + "sWdMVLTeIxo/frame_006.jpg", + "sWdMVLTeIxo/frame_007.jpg", + "sWdMVLTeIxo/frame_008.jpg", + "sWdMVLTeIxo/frame_009.jpg", + "sWdMVLTeIxo/frame_010.jpg", + "sWdMVLTeIxo/frame_011.jpg", + "sWdMVLTeIxo/frame_012.jpg", + "sWdMVLTeIxo/frame_013.jpg", + "sWdMVLTeIxo/frame_014.jpg", + "sWdMVLTeIxo/frame_015.jpg", + "sWdMVLTeIxo/frame_016.jpg", + "sWdMVLTeIxo/frame_017.jpg", + "sWdMVLTeIxo/frame_018.jpg", + "sWdMVLTeIxo/frame_019.jpg", + "sWdMVLTeIxo/frame_020.jpg", + "sWdMVLTeIxo/frame_021.jpg", + "sWdMVLTeIxo/frame_022.jpg", + "sWdMVLTeIxo/frame_023.jpg", + "sWdMVLTeIxo/frame_024.jpg", + "sWdMVLTeIxo/frame_025.jpg", + "sWdMVLTeIxo/frame_026.jpg", + "sWdMVLTeIxo/frame_027.jpg", + "sWdMVLTeIxo/frame_028.jpg", + "sWdMVLTeIxo/frame_029.jpg", + "sWdMVLTeIxo/frame_030.jpg", + "sWdMVLTeIxo/frame_031.jpg", + "sWdMVLTeIxo/frame_032.jpg", + "sWdMVLTeIxo/frame_033.jpg", + "sWdMVLTeIxo/frame_034.jpg", + "sWdMVLTeIxo/frame_035.jpg", + "sWdMVLTeIxo/frame_036.jpg", + "sWdMVLTeIxo/frame_037.jpg", + "sWdMVLTeIxo/frame_038.jpg", + "sWdMVLTeIxo/frame_039.jpg", + "sWdMVLTeIxo/frame_040.jpg", + "sWdMVLTeIxo/frame_041.jpg", + "sWdMVLTeIxo/frame_042.jpg", + "sWdMVLTeIxo/frame_043.jpg", + "sWdMVLTeIxo/frame_044.jpg", + "sWdMVLTeIxo/frame_045.jpg", + "sWdMVLTeIxo/frame_046.jpg", + "sWdMVLTeIxo/frame_047.jpg", + "sWdMVLTeIxo/frame_048.jpg", + "sWdMVLTeIxo/frame_049.jpg", + "sWdMVLTeIxo/frame_050.jpg", + "sWdMVLTeIxo/frame_051.jpg", + "sWdMVLTeIxo/frame_052.jpg", + "sWdMVLTeIxo/frame_053.jpg", + "sWdMVLTeIxo/frame_054.jpg", + "sWdMVLTeIxo/frame_055.jpg", + "sWdMVLTeIxo/frame_056.jpg", + "sWdMVLTeIxo/frame_057.jpg", + "sWdMVLTeIxo/frame_058.jpg", + "sWdMVLTeIxo/frame_059.jpg", + 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"DdXJLahuv-g_processed/frame_037.jpg", + "DdXJLahuv-g_processed/frame_038.jpg", + "DdXJLahuv-g_processed/frame_039.jpg", + "DdXJLahuv-g_processed/frame_040.jpg", + "DdXJLahuv-g_processed/frame_041.jpg", + "DdXJLahuv-g_processed/frame_042.jpg", + "DdXJLahuv-g_processed/frame_043.jpg", + "DdXJLahuv-g_processed/frame_044.jpg", + "DdXJLahuv-g_processed/frame_045.jpg", + "DdXJLahuv-g_processed/frame_046.jpg", + "DdXJLahuv-g_processed/frame_047.jpg", + "DdXJLahuv-g_processed/frame_048.jpg", + "DdXJLahuv-g_processed/frame_049.jpg", + "DdXJLahuv-g_processed/frame_050.jpg", + "DdXJLahuv-g_processed/frame_051.jpg", + "DdXJLahuv-g_processed/frame_052.jpg", + "DdXJLahuv-g_processed/frame_053.jpg", + "DdXJLahuv-g_processed/frame_054.jpg", + "DdXJLahuv-g_processed/frame_055.jpg", + "DdXJLahuv-g_processed/frame_056.jpg", + "DdXJLahuv-g_processed/frame_057.jpg", + "DdXJLahuv-g_processed/frame_058.jpg", + "DdXJLahuv-g_processed/frame_059.jpg", + "DdXJLahuv-g_processed/frame_060.jpg", + "DdXJLahuv-g_processed/frame_061.jpg", + "DdXJLahuv-g_processed/frame_062.jpg", + "DdXJLahuv-g_processed/frame_063.jpg", + "DdXJLahuv-g_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts individuals cutting and drilling logs, which are then transported on trucks. Additionally, it showcases mushrooms growing in a greenhouse." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0012", + "input": { + "video_file_list": [ + "wiOxt4J5zaM/frame_001.jpg", + "wiOxt4J5zaM/frame_002.jpg", + "wiOxt4J5zaM/frame_003.jpg", + "wiOxt4J5zaM/frame_004.jpg", + "wiOxt4J5zaM/frame_005.jpg", + "wiOxt4J5zaM/frame_006.jpg", + "wiOxt4J5zaM/frame_007.jpg", + "wiOxt4J5zaM/frame_008.jpg", + "wiOxt4J5zaM/frame_009.jpg", + "wiOxt4J5zaM/frame_010.jpg", + "wiOxt4J5zaM/frame_011.jpg", + "wiOxt4J5zaM/frame_012.jpg", + "wiOxt4J5zaM/frame_013.jpg", + "wiOxt4J5zaM/frame_014.jpg", + "wiOxt4J5zaM/frame_015.jpg", + "wiOxt4J5zaM/frame_016.jpg", + "wiOxt4J5zaM/frame_017.jpg", + "wiOxt4J5zaM/frame_018.jpg", + "wiOxt4J5zaM/frame_019.jpg", + "wiOxt4J5zaM/frame_020.jpg", + "wiOxt4J5zaM/frame_021.jpg", + "wiOxt4J5zaM/frame_022.jpg", + "wiOxt4J5zaM/frame_023.jpg", + "wiOxt4J5zaM/frame_024.jpg", + "wiOxt4J5zaM/frame_025.jpg", + "wiOxt4J5zaM/frame_026.jpg", + "wiOxt4J5zaM/frame_027.jpg", + "wiOxt4J5zaM/frame_028.jpg", + "wiOxt4J5zaM/frame_029.jpg", + "wiOxt4J5zaM/frame_030.jpg", + "wiOxt4J5zaM/frame_031.jpg", + "wiOxt4J5zaM/frame_032.jpg", + "wiOxt4J5zaM/frame_033.jpg", + "wiOxt4J5zaM/frame_034.jpg", + "wiOxt4J5zaM/frame_035.jpg", + "wiOxt4J5zaM/frame_036.jpg", + "wiOxt4J5zaM/frame_037.jpg", + "wiOxt4J5zaM/frame_038.jpg", + "wiOxt4J5zaM/frame_039.jpg", + "wiOxt4J5zaM/frame_040.jpg", + "wiOxt4J5zaM/frame_041.jpg", + "wiOxt4J5zaM/frame_042.jpg", + "wiOxt4J5zaM/frame_043.jpg", + "wiOxt4J5zaM/frame_044.jpg", + "wiOxt4J5zaM/frame_045.jpg", + "wiOxt4J5zaM/frame_046.jpg", + "wiOxt4J5zaM/frame_047.jpg", + "wiOxt4J5zaM/frame_048.jpg", + "wiOxt4J5zaM/frame_049.jpg", + "wiOxt4J5zaM/frame_050.jpg", + "wiOxt4J5zaM/frame_051.jpg", + "wiOxt4J5zaM/frame_052.jpg", + "wiOxt4J5zaM/frame_053.jpg", + "wiOxt4J5zaM/frame_054.jpg", + "wiOxt4J5zaM/frame_055.jpg", + "wiOxt4J5zaM/frame_056.jpg", + "wiOxt4J5zaM/frame_057.jpg", + "wiOxt4J5zaM/frame_058.jpg", + "wiOxt4J5zaM/frame_059.jpg", + "wiOxt4J5zaM/frame_060.jpg", + "wiOxt4J5zaM/frame_061.jpg", + "wiOxt4J5zaM/frame_062.jpg", + "wiOxt4J5zaM/frame_063.jpg", + "wiOxt4J5zaM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man preparing a cocktail by adding ice and pouring several liquids into a glass. He stirs the mixture before transferring it to another glass. The video concludes with a close-up of the final drink." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0024", + "input": { + "video_file_list": [ + "nRebRhmeMk0_processed/frame_001.jpg", + "nRebRhmeMk0_processed/frame_002.jpg", + "nRebRhmeMk0_processed/frame_003.jpg", + "nRebRhmeMk0_processed/frame_004.jpg", + "nRebRhmeMk0_processed/frame_005.jpg", + "nRebRhmeMk0_processed/frame_006.jpg", + "nRebRhmeMk0_processed/frame_007.jpg", + "nRebRhmeMk0_processed/frame_008.jpg", + "nRebRhmeMk0_processed/frame_009.jpg", + "nRebRhmeMk0_processed/frame_010.jpg", + "nRebRhmeMk0_processed/frame_011.jpg", + "nRebRhmeMk0_processed/frame_012.jpg", + "nRebRhmeMk0_processed/frame_013.jpg", + "nRebRhmeMk0_processed/frame_014.jpg", + "nRebRhmeMk0_processed/frame_015.jpg", + "nRebRhmeMk0_processed/frame_016.jpg", + "nRebRhmeMk0_processed/frame_017.jpg", + "nRebRhmeMk0_processed/frame_018.jpg", + "nRebRhmeMk0_processed/frame_019.jpg", + "nRebRhmeMk0_processed/frame_020.jpg", + "nRebRhmeMk0_processed/frame_021.jpg", + "nRebRhmeMk0_processed/frame_022.jpg", + "nRebRhmeMk0_processed/frame_023.jpg", + "nRebRhmeMk0_processed/frame_024.jpg", + "nRebRhmeMk0_processed/frame_025.jpg", + "nRebRhmeMk0_processed/frame_026.jpg", + "nRebRhmeMk0_processed/frame_027.jpg", + "nRebRhmeMk0_processed/frame_028.jpg", + "nRebRhmeMk0_processed/frame_029.jpg", + "nRebRhmeMk0_processed/frame_030.jpg", + "nRebRhmeMk0_processed/frame_031.jpg", + "nRebRhmeMk0_processed/frame_032.jpg", + "nRebRhmeMk0_processed/frame_033.jpg", + "nRebRhmeMk0_processed/frame_034.jpg", + "nRebRhmeMk0_processed/frame_035.jpg", + "nRebRhmeMk0_processed/frame_036.jpg", + "nRebRhmeMk0_processed/frame_037.jpg", + "nRebRhmeMk0_processed/frame_038.jpg", + "nRebRhmeMk0_processed/frame_039.jpg", + "nRebRhmeMk0_processed/frame_040.jpg", + "nRebRhmeMk0_processed/frame_041.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing Chashu, a Japanese dish consisting of boiled pork belly. Sauce is applied to the meat, followed by cooking it with a blowtorch." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0008", + "input": { + "video_file_list": [ + "8aQBCxS-WVM/frame_001.jpg", + "8aQBCxS-WVM/frame_002.jpg", + "8aQBCxS-WVM/frame_003.jpg", + "8aQBCxS-WVM/frame_004.jpg", + "8aQBCxS-WVM/frame_005.jpg", + "8aQBCxS-WVM/frame_006.jpg", + "8aQBCxS-WVM/frame_007.jpg", + "8aQBCxS-WVM/frame_008.jpg", + "8aQBCxS-WVM/frame_009.jpg", + "8aQBCxS-WVM/frame_010.jpg", + "8aQBCxS-WVM/frame_011.jpg", + "8aQBCxS-WVM/frame_012.jpg", + "8aQBCxS-WVM/frame_013.jpg", + "8aQBCxS-WVM/frame_014.jpg", + "8aQBCxS-WVM/frame_015.jpg", + "8aQBCxS-WVM/frame_016.jpg", + "8aQBCxS-WVM/frame_017.jpg", + "8aQBCxS-WVM/frame_018.jpg", + "8aQBCxS-WVM/frame_019.jpg", + "8aQBCxS-WVM/frame_020.jpg", + "8aQBCxS-WVM/frame_021.jpg", + "8aQBCxS-WVM/frame_022.jpg", + "8aQBCxS-WVM/frame_023.jpg", + "8aQBCxS-WVM/frame_024.jpg", + "8aQBCxS-WVM/frame_025.jpg", + "8aQBCxS-WVM/frame_026.jpg", + "8aQBCxS-WVM/frame_027.jpg", + "8aQBCxS-WVM/frame_028.jpg", + "8aQBCxS-WVM/frame_029.jpg", + "8aQBCxS-WVM/frame_030.jpg", + "8aQBCxS-WVM/frame_031.jpg", + "8aQBCxS-WVM/frame_032.jpg", + "8aQBCxS-WVM/frame_033.jpg", + "8aQBCxS-WVM/frame_034.jpg", + "8aQBCxS-WVM/frame_035.jpg", + "8aQBCxS-WVM/frame_036.jpg", + "8aQBCxS-WVM/frame_037.jpg", + "8aQBCxS-WVM/frame_038.jpg", + "8aQBCxS-WVM/frame_039.jpg", + "8aQBCxS-WVM/frame_040.jpg", + "8aQBCxS-WVM/frame_041.jpg", + "8aQBCxS-WVM/frame_042.jpg", + "8aQBCxS-WVM/frame_043.jpg", + "8aQBCxS-WVM/frame_044.jpg", + "8aQBCxS-WVM/frame_045.jpg", + "8aQBCxS-WVM/frame_046.jpg", + "8aQBCxS-WVM/frame_047.jpg", + "8aQBCxS-WVM/frame_048.jpg", + "8aQBCxS-WVM/frame_049.jpg", + "8aQBCxS-WVM/frame_050.jpg", + "8aQBCxS-WVM/frame_051.jpg", + "8aQBCxS-WVM/frame_052.jpg", + "8aQBCxS-WVM/frame_053.jpg", + "8aQBCxS-WVM/frame_054.jpg", + "8aQBCxS-WVM/frame_055.jpg", + "8aQBCxS-WVM/frame_056.jpg", + "8aQBCxS-WVM/frame_057.jpg", + "8aQBCxS-WVM/frame_058.jpg", + "8aQBCxS-WVM/frame_059.jpg", + "8aQBCxS-WVM/frame_060.jpg", + "8aQBCxS-WVM/frame_061.jpg", + "8aQBCxS-WVM/frame_062.jpg", + "8aQBCxS-WVM/frame_063.jpg", + "8aQBCxS-WVM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man cooking and preparing rice and meat dishes in the kitchen. It includes close-up shots of him holding bowls containing rice, meat, and vegetables, as well as a detailed view of a bowl with rice and meat." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/HumorVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/HumorVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a1ee35f3dd3472e154e72ebfd91da6816cfb1600 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/HumorVideoCaptioning/annotation.json @@ -0,0 +1,740 @@ +{ + "task": "HumorVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_humorvideocaptioning_0013", + "input": { + "video_file_list": [ + "cEN00wMFB2A/frame_001.jpg", + "cEN00wMFB2A/frame_002.jpg", + "cEN00wMFB2A/frame_003.jpg", + "cEN00wMFB2A/frame_004.jpg", + "cEN00wMFB2A/frame_005.jpg", + "cEN00wMFB2A/frame_006.jpg", + "cEN00wMFB2A/frame_007.jpg", + "cEN00wMFB2A/frame_008.jpg", + "cEN00wMFB2A/frame_009.jpg", + "cEN00wMFB2A/frame_010.jpg", + "cEN00wMFB2A/frame_011.jpg", + "cEN00wMFB2A/frame_012.jpg", + "cEN00wMFB2A/frame_013.jpg", + "cEN00wMFB2A/frame_014.jpg", + "cEN00wMFB2A/frame_015.jpg", + "cEN00wMFB2A/frame_016.jpg", + "cEN00wMFB2A/frame_017.jpg", + "cEN00wMFB2A/frame_018.jpg", + "cEN00wMFB2A/frame_019.jpg", + "cEN00wMFB2A/frame_020.jpg", + "cEN00wMFB2A/frame_021.jpg", + "cEN00wMFB2A/frame_022.jpg", + "cEN00wMFB2A/frame_023.jpg", + "cEN00wMFB2A/frame_024.jpg", + "cEN00wMFB2A/frame_025.jpg", + "cEN00wMFB2A/frame_026.jpg", + "cEN00wMFB2A/frame_027.jpg", + "cEN00wMFB2A/frame_028.jpg", + "cEN00wMFB2A/frame_029.jpg", + "cEN00wMFB2A/frame_030.jpg", + "cEN00wMFB2A/frame_031.jpg", + "cEN00wMFB2A/frame_032.jpg", + "cEN00wMFB2A/frame_033.jpg", + "cEN00wMFB2A/frame_034.jpg", + "cEN00wMFB2A/frame_035.jpg", + "cEN00wMFB2A/frame_036.jpg", + "cEN00wMFB2A/frame_037.jpg", + "cEN00wMFB2A/frame_038.jpg", + "cEN00wMFB2A/frame_039.jpg", + "cEN00wMFB2A/frame_040.jpg", + "cEN00wMFB2A/frame_041.jpg", + "cEN00wMFB2A/frame_042.jpg", + "cEN00wMFB2A/frame_043.jpg", + "cEN00wMFB2A/frame_044.jpg", + "cEN00wMFB2A/frame_045.jpg", + "cEN00wMFB2A/frame_046.jpg", + "cEN00wMFB2A/frame_047.jpg", + "cEN00wMFB2A/frame_048.jpg", + "cEN00wMFB2A/frame_049.jpg", + "cEN00wMFB2A/frame_050.jpg", + "cEN00wMFB2A/frame_051.jpg", + "cEN00wMFB2A/frame_052.jpg", + "cEN00wMFB2A/frame_053.jpg", + "cEN00wMFB2A/frame_054.jpg", + "cEN00wMFB2A/frame_055.jpg", + "cEN00wMFB2A/frame_056.jpg", + "cEN00wMFB2A/frame_057.jpg", + "cEN00wMFB2A/frame_058.jpg", + "cEN00wMFB2A/frame_059.jpg", + "cEN00wMFB2A/frame_060.jpg", + "cEN00wMFB2A/frame_061.jpg", + "cEN00wMFB2A/frame_062.jpg", + "cEN00wMFB2A/frame_063.jpg", + "cEN00wMFB2A/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man on his phone while another man keeps knocking on the door. The phone user tells the knocking man to go away, but he persists. Finally, the phone user asks him to stop knocking and leave." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0002", + "input": { + "video_file_list": [ + "HxxfnxOIzdo/frame_001.jpg", + "HxxfnxOIzdo/frame_002.jpg", + "HxxfnxOIzdo/frame_003.jpg", + "HxxfnxOIzdo/frame_004.jpg", + "HxxfnxOIzdo/frame_005.jpg", + "HxxfnxOIzdo/frame_006.jpg", + "HxxfnxOIzdo/frame_007.jpg", + "HxxfnxOIzdo/frame_008.jpg", + "HxxfnxOIzdo/frame_009.jpg", + "HxxfnxOIzdo/frame_010.jpg", + "HxxfnxOIzdo/frame_011.jpg", + "HxxfnxOIzdo/frame_012.jpg", + "HxxfnxOIzdo/frame_013.jpg", + "HxxfnxOIzdo/frame_014.jpg", + "HxxfnxOIzdo/frame_015.jpg", + "HxxfnxOIzdo/frame_016.jpg", + "HxxfnxOIzdo/frame_017.jpg", + "HxxfnxOIzdo/frame_018.jpg", + "HxxfnxOIzdo/frame_019.jpg", + "HxxfnxOIzdo/frame_020.jpg", + "HxxfnxOIzdo/frame_021.jpg", + "HxxfnxOIzdo/frame_022.jpg", + "HxxfnxOIzdo/frame_023.jpg", + "HxxfnxOIzdo/frame_024.jpg", + "HxxfnxOIzdo/frame_025.jpg", + "HxxfnxOIzdo/frame_026.jpg", + "HxxfnxOIzdo/frame_027.jpg", + "HxxfnxOIzdo/frame_028.jpg", + "HxxfnxOIzdo/frame_029.jpg", + "HxxfnxOIzdo/frame_030.jpg", + "HxxfnxOIzdo/frame_031.jpg", + "HxxfnxOIzdo/frame_032.jpg", + "HxxfnxOIzdo/frame_033.jpg", + "HxxfnxOIzdo/frame_034.jpg", + "HxxfnxOIzdo/frame_035.jpg", + "HxxfnxOIzdo/frame_036.jpg", + "HxxfnxOIzdo/frame_037.jpg", + "HxxfnxOIzdo/frame_038.jpg", + "HxxfnxOIzdo/frame_039.jpg", + "HxxfnxOIzdo/frame_040.jpg", + "HxxfnxOIzdo/frame_041.jpg", + "HxxfnxOIzdo/frame_042.jpg", + "HxxfnxOIzdo/frame_043.jpg", + "HxxfnxOIzdo/frame_044.jpg", + "HxxfnxOIzdo/frame_045.jpg", + "HxxfnxOIzdo/frame_046.jpg", + "HxxfnxOIzdo/frame_047.jpg", + "HxxfnxOIzdo/frame_048.jpg", + "HxxfnxOIzdo/frame_049.jpg", + "HxxfnxOIzdo/frame_050.jpg", + "HxxfnxOIzdo/frame_051.jpg", + "HxxfnxOIzdo/frame_052.jpg", + "HxxfnxOIzdo/frame_053.jpg", + "HxxfnxOIzdo/frame_054.jpg", + "HxxfnxOIzdo/frame_055.jpg", + "HxxfnxOIzdo/frame_056.jpg", + "HxxfnxOIzdo/frame_057.jpg", + "HxxfnxOIzdo/frame_058.jpg", + "HxxfnxOIzdo/frame_059.jpg", + "HxxfnxOIzdo/frame_060.jpg", + "HxxfnxOIzdo/frame_061.jpg", + "HxxfnxOIzdo/frame_062.jpg", + "HxxfnxOIzdo/frame_063.jpg", + "HxxfnxOIzdo/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a lizard on a rock, a truck passing by with a dog and a bird inside, and a fight among animals in the desert involving a donkey, a bird, and a lizard." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0017", + "input": { + "video_file_list": [ + "TNsReXYg1Y0_processed/frame_001.jpg", + "TNsReXYg1Y0_processed/frame_002.jpg", + "TNsReXYg1Y0_processed/frame_003.jpg", + "TNsReXYg1Y0_processed/frame_004.jpg", + "TNsReXYg1Y0_processed/frame_005.jpg", + "TNsReXYg1Y0_processed/frame_006.jpg", + "TNsReXYg1Y0_processed/frame_007.jpg", + "TNsReXYg1Y0_processed/frame_008.jpg", + "TNsReXYg1Y0_processed/frame_009.jpg", + "TNsReXYg1Y0_processed/frame_010.jpg", + "TNsReXYg1Y0_processed/frame_011.jpg", + "TNsReXYg1Y0_processed/frame_012.jpg", + "TNsReXYg1Y0_processed/frame_013.jpg", + "TNsReXYg1Y0_processed/frame_014.jpg", + "TNsReXYg1Y0_processed/frame_015.jpg", + "TNsReXYg1Y0_processed/frame_016.jpg", + "TNsReXYg1Y0_processed/frame_017.jpg", + "TNsReXYg1Y0_processed/frame_018.jpg", + "TNsReXYg1Y0_processed/frame_019.jpg", + "TNsReXYg1Y0_processed/frame_020.jpg", + "TNsReXYg1Y0_processed/frame_021.jpg", + "TNsReXYg1Y0_processed/frame_022.jpg", + "TNsReXYg1Y0_processed/frame_023.jpg", + "TNsReXYg1Y0_processed/frame_024.jpg", + "TNsReXYg1Y0_processed/frame_025.jpg", + "TNsReXYg1Y0_processed/frame_026.jpg", + "TNsReXYg1Y0_processed/frame_027.jpg", + "TNsReXYg1Y0_processed/frame_028.jpg", + "TNsReXYg1Y0_processed/frame_029.jpg", + "TNsReXYg1Y0_processed/frame_030.jpg", + "TNsReXYg1Y0_processed/frame_031.jpg", + "TNsReXYg1Y0_processed/frame_032.jpg", + "TNsReXYg1Y0_processed/frame_033.jpg", + "TNsReXYg1Y0_processed/frame_034.jpg", + "TNsReXYg1Y0_processed/frame_035.jpg", + "TNsReXYg1Y0_processed/frame_036.jpg", + "TNsReXYg1Y0_processed/frame_037.jpg", + "TNsReXYg1Y0_processed/frame_038.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "A man selects a hammer from a rack, inspects it, and attempts to detach the handle." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0019", + "input": { + "video_file_list": [ + "pRZqRjxkHpk/frame_001.jpg", + "pRZqRjxkHpk/frame_002.jpg", + "pRZqRjxkHpk/frame_003.jpg", + "pRZqRjxkHpk/frame_004.jpg", + "pRZqRjxkHpk/frame_005.jpg", + "pRZqRjxkHpk/frame_006.jpg", + "pRZqRjxkHpk/frame_007.jpg", + "pRZqRjxkHpk/frame_008.jpg", + "pRZqRjxkHpk/frame_009.jpg", + "pRZqRjxkHpk/frame_010.jpg", + "pRZqRjxkHpk/frame_011.jpg", + "pRZqRjxkHpk/frame_012.jpg", + "pRZqRjxkHpk/frame_013.jpg", + "pRZqRjxkHpk/frame_014.jpg", + "pRZqRjxkHpk/frame_015.jpg", + "pRZqRjxkHpk/frame_016.jpg", + "pRZqRjxkHpk/frame_017.jpg", + "pRZqRjxkHpk/frame_018.jpg", + "pRZqRjxkHpk/frame_019.jpg", + "pRZqRjxkHpk/frame_020.jpg", + "pRZqRjxkHpk/frame_021.jpg", + "pRZqRjxkHpk/frame_022.jpg", + "pRZqRjxkHpk/frame_023.jpg", + "pRZqRjxkHpk/frame_024.jpg", + "pRZqRjxkHpk/frame_025.jpg", + "pRZqRjxkHpk/frame_026.jpg", + "pRZqRjxkHpk/frame_027.jpg", + "pRZqRjxkHpk/frame_028.jpg", + "pRZqRjxkHpk/frame_029.jpg", + "pRZqRjxkHpk/frame_030.jpg", + "pRZqRjxkHpk/frame_031.jpg", + "pRZqRjxkHpk/frame_032.jpg", + "pRZqRjxkHpk/frame_033.jpg", + "pRZqRjxkHpk/frame_034.jpg", + "pRZqRjxkHpk/frame_035.jpg", + "pRZqRjxkHpk/frame_036.jpg", + "pRZqRjxkHpk/frame_037.jpg", + "pRZqRjxkHpk/frame_038.jpg", + "pRZqRjxkHpk/frame_039.jpg", + "pRZqRjxkHpk/frame_040.jpg", + "pRZqRjxkHpk/frame_041.jpg", + "pRZqRjxkHpk/frame_042.jpg", + "pRZqRjxkHpk/frame_043.jpg", + "pRZqRjxkHpk/frame_044.jpg", + "pRZqRjxkHpk/frame_045.jpg", + "pRZqRjxkHpk/frame_046.jpg", + "pRZqRjxkHpk/frame_047.jpg", + "pRZqRjxkHpk/frame_048.jpg", + "pRZqRjxkHpk/frame_049.jpg", + "pRZqRjxkHpk/frame_050.jpg", + "pRZqRjxkHpk/frame_051.jpg", + "pRZqRjxkHpk/frame_052.jpg", + "pRZqRjxkHpk/frame_053.jpg", + "pRZqRjxkHpk/frame_054.jpg", + "pRZqRjxkHpk/frame_055.jpg", + "pRZqRjxkHpk/frame_056.jpg", + "pRZqRjxkHpk/frame_057.jpg", + "pRZqRjxkHpk/frame_058.jpg", + "pRZqRjxkHpk/frame_059.jpg", + "pRZqRjxkHpk/frame_060.jpg", + "pRZqRjxkHpk/frame_061.jpg", + "pRZqRjxkHpk/frame_062.jpg", + "pRZqRjxkHpk/frame_063.jpg", + "pRZqRjxkHpk/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man in a martial arts uniform demonstrating karate moves such as chops and kicks to his class. He mimics hitting another person with his hand and then executes a karate chop that appears to send the other person flying backward. The sequence concludes with an ending title screen." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0008", + "input": { + "video_file_list": [ + "xUkqUL5bXSE/frame_001.jpg", + "xUkqUL5bXSE/frame_002.jpg", + "xUkqUL5bXSE/frame_003.jpg", + "xUkqUL5bXSE/frame_004.jpg", + "xUkqUL5bXSE/frame_005.jpg", + "xUkqUL5bXSE/frame_006.jpg", + "xUkqUL5bXSE/frame_007.jpg", + "xUkqUL5bXSE/frame_008.jpg", + "xUkqUL5bXSE/frame_009.jpg", + "xUkqUL5bXSE/frame_010.jpg", + "xUkqUL5bXSE/frame_011.jpg", + "xUkqUL5bXSE/frame_012.jpg", + "xUkqUL5bXSE/frame_013.jpg", + "xUkqUL5bXSE/frame_014.jpg", + "xUkqUL5bXSE/frame_015.jpg", + "xUkqUL5bXSE/frame_016.jpg", + "xUkqUL5bXSE/frame_017.jpg", + "xUkqUL5bXSE/frame_018.jpg", + "xUkqUL5bXSE/frame_019.jpg", + "xUkqUL5bXSE/frame_020.jpg", + "xUkqUL5bXSE/frame_021.jpg", + "xUkqUL5bXSE/frame_022.jpg", + "xUkqUL5bXSE/frame_023.jpg", + "xUkqUL5bXSE/frame_024.jpg", + "xUkqUL5bXSE/frame_025.jpg", + "xUkqUL5bXSE/frame_026.jpg", + "xUkqUL5bXSE/frame_027.jpg", + "xUkqUL5bXSE/frame_028.jpg", + "xUkqUL5bXSE/frame_029.jpg", + "xUkqUL5bXSE/frame_030.jpg", + "xUkqUL5bXSE/frame_031.jpg", + "xUkqUL5bXSE/frame_032.jpg", + "xUkqUL5bXSE/frame_033.jpg", + "xUkqUL5bXSE/frame_034.jpg", + "xUkqUL5bXSE/frame_035.jpg", + "xUkqUL5bXSE/frame_036.jpg", + "xUkqUL5bXSE/frame_037.jpg", + "xUkqUL5bXSE/frame_038.jpg", + "xUkqUL5bXSE/frame_039.jpg", + "xUkqUL5bXSE/frame_040.jpg", + "xUkqUL5bXSE/frame_041.jpg", + "xUkqUL5bXSE/frame_042.jpg", + "xUkqUL5bXSE/frame_043.jpg", + "xUkqUL5bXSE/frame_044.jpg", + "xUkqUL5bXSE/frame_045.jpg", + "xUkqUL5bXSE/frame_046.jpg", + "xUkqUL5bXSE/frame_047.jpg", + "xUkqUL5bXSE/frame_048.jpg", + "xUkqUL5bXSE/frame_049.jpg", + "xUkqUL5bXSE/frame_050.jpg", + "xUkqUL5bXSE/frame_051.jpg", + "xUkqUL5bXSE/frame_052.jpg", + "xUkqUL5bXSE/frame_053.jpg", + "xUkqUL5bXSE/frame_054.jpg", + "xUkqUL5bXSE/frame_055.jpg", + "xUkqUL5bXSE/frame_056.jpg", + "xUkqUL5bXSE/frame_057.jpg", + "xUkqUL5bXSE/frame_058.jpg", + "xUkqUL5bXSE/frame_059.jpg", + "xUkqUL5bXSE/frame_060.jpg", + "xUkqUL5bXSE/frame_061.jpg", + "xUkqUL5bXSE/frame_062.jpg", + "xUkqUL5bXSE/frame_063.jpg", + "xUkqUL5bXSE/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man waking up, preparing for work, taking an elevator to his office where he sits at a desk. He then exits the office, walking down a corridor past a room with a wall clock. The man is later shown playing an accordion in front of a building." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0012", + "input": { + "video_file_list": [ + "rhkkCDTkcvI_processed/frame_001.jpg", + "rhkkCDTkcvI_processed/frame_002.jpg", + "rhkkCDTkcvI_processed/frame_003.jpg", + "rhkkCDTkcvI_processed/frame_004.jpg", + "rhkkCDTkcvI_processed/frame_005.jpg", + "rhkkCDTkcvI_processed/frame_006.jpg", + "rhkkCDTkcvI_processed/frame_007.jpg", + "rhkkCDTkcvI_processed/frame_008.jpg", + "rhkkCDTkcvI_processed/frame_009.jpg", + "rhkkCDTkcvI_processed/frame_010.jpg", + "rhkkCDTkcvI_processed/frame_011.jpg", + "rhkkCDTkcvI_processed/frame_012.jpg", + "rhkkCDTkcvI_processed/frame_013.jpg", + "rhkkCDTkcvI_processed/frame_014.jpg", + "rhkkCDTkcvI_processed/frame_015.jpg", + "rhkkCDTkcvI_processed/frame_016.jpg", + "rhkkCDTkcvI_processed/frame_017.jpg", + "rhkkCDTkcvI_processed/frame_018.jpg", + "rhkkCDTkcvI_processed/frame_019.jpg", + "rhkkCDTkcvI_processed/frame_020.jpg", + "rhkkCDTkcvI_processed/frame_021.jpg", + "rhkkCDTkcvI_processed/frame_022.jpg", + "rhkkCDTkcvI_processed/frame_023.jpg", + "rhkkCDTkcvI_processed/frame_024.jpg", + "rhkkCDTkcvI_processed/frame_025.jpg", + "rhkkCDTkcvI_processed/frame_026.jpg", + "rhkkCDTkcvI_processed/frame_027.jpg", + "rhkkCDTkcvI_processed/frame_028.jpg", + "rhkkCDTkcvI_processed/frame_029.jpg", + "rhkkCDTkcvI_processed/frame_030.jpg", + "rhkkCDTkcvI_processed/frame_031.jpg", + "rhkkCDTkcvI_processed/frame_032.jpg", + "rhkkCDTkcvI_processed/frame_033.jpg", + "rhkkCDTkcvI_processed/frame_034.jpg", + "rhkkCDTkcvI_processed/frame_035.jpg", + "rhkkCDTkcvI_processed/frame_036.jpg", + "rhkkCDTkcvI_processed/frame_037.jpg", + "rhkkCDTkcvI_processed/frame_038.jpg", + "rhkkCDTkcvI_processed/frame_039.jpg", + "rhkkCDTkcvI_processed/frame_040.jpg", + "rhkkCDTkcvI_processed/frame_041.jpg", + "rhkkCDTkcvI_processed/frame_042.jpg", + "rhkkCDTkcvI_processed/frame_043.jpg", + "rhkkCDTkcvI_processed/frame_044.jpg", + "rhkkCDTkcvI_processed/frame_045.jpg", + "rhkkCDTkcvI_processed/frame_046.jpg", + "rhkkCDTkcvI_processed/frame_047.jpg", + "rhkkCDTkcvI_processed/frame_048.jpg", + "rhkkCDTkcvI_processed/frame_049.jpg", + "rhkkCDTkcvI_processed/frame_050.jpg", + "rhkkCDTkcvI_processed/frame_051.jpg", + "rhkkCDTkcvI_processed/frame_052.jpg", + "rhkkCDTkcvI_processed/frame_053.jpg", + "rhkkCDTkcvI_processed/frame_054.jpg", + "rhkkCDTkcvI_processed/frame_055.jpg", + "rhkkCDTkcvI_processed/frame_056.jpg", + "rhkkCDTkcvI_processed/frame_057.jpg", + "rhkkCDTkcvI_processed/frame_058.jpg", + "rhkkCDTkcvI_processed/frame_059.jpg", + "rhkkCDTkcvI_processed/frame_060.jpg", + "rhkkCDTkcvI_processed/frame_061.jpg", + "rhkkCDTkcvI_processed/frame_062.jpg", + "rhkkCDTkcvI_processed/frame_063.jpg", + "rhkkCDTkcvI_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts two girls chatting about a goatman in a bedroom, while a boy lying on his bed listens, seeming frightened by their story." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0010", + "input": { + "video_file_list": [ + "d51KcOXd2D4_processed/frame_001.jpg", + "d51KcOXd2D4_processed/frame_002.jpg", + "d51KcOXd2D4_processed/frame_003.jpg", + "d51KcOXd2D4_processed/frame_004.jpg", + "d51KcOXd2D4_processed/frame_005.jpg", + "d51KcOXd2D4_processed/frame_006.jpg", + "d51KcOXd2D4_processed/frame_007.jpg", + "d51KcOXd2D4_processed/frame_008.jpg", + "d51KcOXd2D4_processed/frame_009.jpg", + "d51KcOXd2D4_processed/frame_010.jpg", + "d51KcOXd2D4_processed/frame_011.jpg", + "d51KcOXd2D4_processed/frame_012.jpg", + "d51KcOXd2D4_processed/frame_013.jpg", + "d51KcOXd2D4_processed/frame_014.jpg", + "d51KcOXd2D4_processed/frame_015.jpg", + "d51KcOXd2D4_processed/frame_016.jpg", + "d51KcOXd2D4_processed/frame_017.jpg", + "d51KcOXd2D4_processed/frame_018.jpg", + "d51KcOXd2D4_processed/frame_019.jpg", + "d51KcOXd2D4_processed/frame_020.jpg", + "d51KcOXd2D4_processed/frame_021.jpg", + "d51KcOXd2D4_processed/frame_022.jpg", + "d51KcOXd2D4_processed/frame_023.jpg", + "d51KcOXd2D4_processed/frame_024.jpg", + "d51KcOXd2D4_processed/frame_025.jpg", + "d51KcOXd2D4_processed/frame_026.jpg", + "d51KcOXd2D4_processed/frame_027.jpg", + "d51KcOXd2D4_processed/frame_028.jpg", + "d51KcOXd2D4_processed/frame_029.jpg", + "d51KcOXd2D4_processed/frame_030.jpg", + "d51KcOXd2D4_processed/frame_031.jpg", + "d51KcOXd2D4_processed/frame_032.jpg", + "d51KcOXd2D4_processed/frame_033.jpg", + "d51KcOXd2D4_processed/frame_034.jpg", + "d51KcOXd2D4_processed/frame_035.jpg", + "d51KcOXd2D4_processed/frame_036.jpg", + "d51KcOXd2D4_processed/frame_037.jpg", + "d51KcOXd2D4_processed/frame_038.jpg", + "d51KcOXd2D4_processed/frame_039.jpg", + "d51KcOXd2D4_processed/frame_040.jpg", + "d51KcOXd2D4_processed/frame_041.jpg", + "d51KcOXd2D4_processed/frame_042.jpg", + "d51KcOXd2D4_processed/frame_043.jpg", + "d51KcOXd2D4_processed/frame_044.jpg", + "d51KcOXd2D4_processed/frame_045.jpg", + "d51KcOXd2D4_processed/frame_046.jpg", + "d51KcOXd2D4_processed/frame_047.jpg", + "d51KcOXd2D4_processed/frame_048.jpg", + "d51KcOXd2D4_processed/frame_049.jpg", + "d51KcOXd2D4_processed/frame_050.jpg", + "d51KcOXd2D4_processed/frame_051.jpg", + "d51KcOXd2D4_processed/frame_052.jpg", + "d51KcOXd2D4_processed/frame_053.jpg", + "d51KcOXd2D4_processed/frame_054.jpg", + "d51KcOXd2D4_processed/frame_055.jpg", + "d51KcOXd2D4_processed/frame_056.jpg", + "d51KcOXd2D4_processed/frame_057.jpg", + "d51KcOXd2D4_processed/frame_058.jpg", + "d51KcOXd2D4_processed/frame_059.jpg", + "d51KcOXd2D4_processed/frame_060.jpg", + "d51KcOXd2D4_processed/frame_061.jpg", + "d51KcOXd2D4_processed/frame_062.jpg", + "d51KcOXd2D4_processed/frame_063.jpg", + "d51KcOXd2D4_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two boys operating an old computer while conversing with each other. One boy is on the phone with an older man, who is also seen speaking on the phone. The video concludes with a blue screen displaying 'Young Sheldon' and 'Subscribe.'" + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0015", + "input": { + "video_file_list": [ + "Qe8LFkHhR68/frame_001.jpg", + "Qe8LFkHhR68/frame_002.jpg", + "Qe8LFkHhR68/frame_003.jpg", + "Qe8LFkHhR68/frame_004.jpg", + "Qe8LFkHhR68/frame_005.jpg", + "Qe8LFkHhR68/frame_006.jpg", + "Qe8LFkHhR68/frame_007.jpg", + "Qe8LFkHhR68/frame_008.jpg", + "Qe8LFkHhR68/frame_009.jpg", + "Qe8LFkHhR68/frame_010.jpg", + "Qe8LFkHhR68/frame_011.jpg", + "Qe8LFkHhR68/frame_012.jpg", + "Qe8LFkHhR68/frame_013.jpg", + "Qe8LFkHhR68/frame_014.jpg", + "Qe8LFkHhR68/frame_015.jpg", + "Qe8LFkHhR68/frame_016.jpg", + "Qe8LFkHhR68/frame_017.jpg", + "Qe8LFkHhR68/frame_018.jpg", + "Qe8LFkHhR68/frame_019.jpg", + "Qe8LFkHhR68/frame_020.jpg", + "Qe8LFkHhR68/frame_021.jpg", + "Qe8LFkHhR68/frame_022.jpg", + "Qe8LFkHhR68/frame_023.jpg", + "Qe8LFkHhR68/frame_024.jpg", + "Qe8LFkHhR68/frame_025.jpg", + "Qe8LFkHhR68/frame_026.jpg", + "Qe8LFkHhR68/frame_027.jpg", + "Qe8LFkHhR68/frame_028.jpg", + "Qe8LFkHhR68/frame_029.jpg", + "Qe8LFkHhR68/frame_030.jpg", + "Qe8LFkHhR68/frame_031.jpg", + "Qe8LFkHhR68/frame_032.jpg", + "Qe8LFkHhR68/frame_033.jpg", + "Qe8LFkHhR68/frame_034.jpg", + "Qe8LFkHhR68/frame_035.jpg", + "Qe8LFkHhR68/frame_036.jpg", + "Qe8LFkHhR68/frame_037.jpg", + "Qe8LFkHhR68/frame_038.jpg", + "Qe8LFkHhR68/frame_039.jpg", + "Qe8LFkHhR68/frame_040.jpg", + "Qe8LFkHhR68/frame_041.jpg", + "Qe8LFkHhR68/frame_042.jpg", + "Qe8LFkHhR68/frame_043.jpg", + "Qe8LFkHhR68/frame_044.jpg", + "Qe8LFkHhR68/frame_045.jpg", + "Qe8LFkHhR68/frame_046.jpg", + "Qe8LFkHhR68/frame_047.jpg", + "Qe8LFkHhR68/frame_048.jpg", + "Qe8LFkHhR68/frame_049.jpg", + "Qe8LFkHhR68/frame_050.jpg", + "Qe8LFkHhR68/frame_051.jpg", + "Qe8LFkHhR68/frame_052.jpg", + "Qe8LFkHhR68/frame_053.jpg", + "Qe8LFkHhR68/frame_054.jpg", + "Qe8LFkHhR68/frame_055.jpg", + "Qe8LFkHhR68/frame_056.jpg", + "Qe8LFkHhR68/frame_057.jpg", + "Qe8LFkHhR68/frame_058.jpg", + "Qe8LFkHhR68/frame_059.jpg", + "Qe8LFkHhR68/frame_060.jpg", + "Qe8LFkHhR68/frame_061.jpg", + "Qe8LFkHhR68/frame_062.jpg", + "Qe8LFkHhR68/frame_063.jpg", + "Qe8LFkHhR68/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a rocket launch, with spectators observed beyond a fence. In the control room, a man communicates via headset while a woman converses with an off-screen individual. The sequence concludes with a promotion for Adobe Marketing Cloud." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0016", + "input": { + "video_file_list": [ + "QVzeW1_hyHI/frame_001.jpg", + "QVzeW1_hyHI/frame_002.jpg", + "QVzeW1_hyHI/frame_003.jpg", + "QVzeW1_hyHI/frame_004.jpg", + "QVzeW1_hyHI/frame_005.jpg", + "QVzeW1_hyHI/frame_006.jpg", + "QVzeW1_hyHI/frame_007.jpg", + "QVzeW1_hyHI/frame_008.jpg", + "QVzeW1_hyHI/frame_009.jpg", + "QVzeW1_hyHI/frame_010.jpg", + "QVzeW1_hyHI/frame_011.jpg", + "QVzeW1_hyHI/frame_012.jpg", + "QVzeW1_hyHI/frame_013.jpg", + "QVzeW1_hyHI/frame_014.jpg", + "QVzeW1_hyHI/frame_015.jpg", + "QVzeW1_hyHI/frame_016.jpg", + "QVzeW1_hyHI/frame_017.jpg", + "QVzeW1_hyHI/frame_018.jpg", + "QVzeW1_hyHI/frame_019.jpg", + "QVzeW1_hyHI/frame_020.jpg", + "QVzeW1_hyHI/frame_021.jpg", + "QVzeW1_hyHI/frame_022.jpg", + "QVzeW1_hyHI/frame_023.jpg", + "QVzeW1_hyHI/frame_024.jpg", + "QVzeW1_hyHI/frame_025.jpg", + "QVzeW1_hyHI/frame_026.jpg", + "QVzeW1_hyHI/frame_027.jpg", + "QVzeW1_hyHI/frame_028.jpg", + "QVzeW1_hyHI/frame_029.jpg", + "QVzeW1_hyHI/frame_030.jpg", + "QVzeW1_hyHI/frame_031.jpg", + "QVzeW1_hyHI/frame_032.jpg", + "QVzeW1_hyHI/frame_033.jpg", + "QVzeW1_hyHI/frame_034.jpg", + "QVzeW1_hyHI/frame_035.jpg", + "QVzeW1_hyHI/frame_036.jpg", + "QVzeW1_hyHI/frame_037.jpg", + "QVzeW1_hyHI/frame_038.jpg", + "QVzeW1_hyHI/frame_039.jpg", + "QVzeW1_hyHI/frame_040.jpg", + "QVzeW1_hyHI/frame_041.jpg", + "QVzeW1_hyHI/frame_042.jpg", + "QVzeW1_hyHI/frame_043.jpg", + "QVzeW1_hyHI/frame_044.jpg", + "QVzeW1_hyHI/frame_045.jpg", + "QVzeW1_hyHI/frame_046.jpg", + "QVzeW1_hyHI/frame_047.jpg", + "QVzeW1_hyHI/frame_048.jpg", + "QVzeW1_hyHI/frame_049.jpg", + "QVzeW1_hyHI/frame_050.jpg", + "QVzeW1_hyHI/frame_051.jpg", + "QVzeW1_hyHI/frame_052.jpg", + "QVzeW1_hyHI/frame_053.jpg", + "QVzeW1_hyHI/frame_054.jpg", + "QVzeW1_hyHI/frame_055.jpg", + "QVzeW1_hyHI/frame_056.jpg", + "QVzeW1_hyHI/frame_057.jpg", + "QVzeW1_hyHI/frame_058.jpg", + "QVzeW1_hyHI/frame_059.jpg", + "QVzeW1_hyHI/frame_060.jpg", + "QVzeW1_hyHI/frame_061.jpg", + "QVzeW1_hyHI/frame_062.jpg", + "QVzeW1_hyHI/frame_063.jpg", + "QVzeW1_hyHI/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a group of people gathered around a table, drinking and conversing. On stage, a man is performing dance routines with a microphone. Additionally, a man is shown holding a cellphone, while another person captures his image." + } + }, + { + "id": "vc_closeset_humorvideocaptioning_0007", + "input": { + "video_file_list": [ + "bRpUauseTVw/frame_001.jpg", + "bRpUauseTVw/frame_002.jpg", + "bRpUauseTVw/frame_003.jpg", + "bRpUauseTVw/frame_004.jpg", + "bRpUauseTVw/frame_005.jpg", + "bRpUauseTVw/frame_006.jpg", + "bRpUauseTVw/frame_007.jpg", + "bRpUauseTVw/frame_008.jpg", + "bRpUauseTVw/frame_009.jpg", + "bRpUauseTVw/frame_010.jpg", + "bRpUauseTVw/frame_011.jpg", + "bRpUauseTVw/frame_012.jpg", + "bRpUauseTVw/frame_013.jpg", + "bRpUauseTVw/frame_014.jpg", + "bRpUauseTVw/frame_015.jpg", + "bRpUauseTVw/frame_016.jpg", + "bRpUauseTVw/frame_017.jpg", + "bRpUauseTVw/frame_018.jpg", + "bRpUauseTVw/frame_019.jpg", + "bRpUauseTVw/frame_020.jpg", + "bRpUauseTVw/frame_021.jpg", + "bRpUauseTVw/frame_022.jpg", + "bRpUauseTVw/frame_023.jpg", + "bRpUauseTVw/frame_024.jpg", + "bRpUauseTVw/frame_025.jpg", + "bRpUauseTVw/frame_026.jpg", + "bRpUauseTVw/frame_027.jpg", + "bRpUauseTVw/frame_028.jpg", + "bRpUauseTVw/frame_029.jpg", + "bRpUauseTVw/frame_030.jpg", + "bRpUauseTVw/frame_031.jpg", + "bRpUauseTVw/frame_032.jpg", + "bRpUauseTVw/frame_033.jpg", + "bRpUauseTVw/frame_034.jpg", + "bRpUauseTVw/frame_035.jpg", + "bRpUauseTVw/frame_036.jpg", + "bRpUauseTVw/frame_037.jpg", + "bRpUauseTVw/frame_038.jpg", + "bRpUauseTVw/frame_039.jpg", + "bRpUauseTVw/frame_040.jpg", + "bRpUauseTVw/frame_041.jpg", + "bRpUauseTVw/frame_042.jpg", + "bRpUauseTVw/frame_043.jpg", + "bRpUauseTVw/frame_044.jpg", + "bRpUauseTVw/frame_045.jpg", + "bRpUauseTVw/frame_046.jpg", + "bRpUauseTVw/frame_047.jpg", + "bRpUauseTVw/frame_048.jpg", + "bRpUauseTVw/frame_049.jpg", + "bRpUauseTVw/frame_050.jpg", + "bRpUauseTVw/frame_051.jpg", + "bRpUauseTVw/frame_052.jpg", + "bRpUauseTVw/frame_053.jpg", + "bRpUauseTVw/frame_054.jpg", + "bRpUauseTVw/frame_055.jpg", + "bRpUauseTVw/frame_056.jpg", + "bRpUauseTVw/frame_057.jpg", + "bRpUauseTVw/frame_058.jpg", + "bRpUauseTVw/frame_059.jpg", + "bRpUauseTVw/frame_060.jpg", + "bRpUauseTVw/frame_061.jpg", + "bRpUauseTVw/frame_062.jpg", + "bRpUauseTVw/frame_063.jpg", + "bRpUauseTVw/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man engaging in a game with a child, where he punches a bag that responds by hitting him back. He then moves to another station and begins throwing darts at a dartboard." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LOGOMarkerMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LOGOMarkerMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3da73ac9a6df128ab711de5cbcc70f34a58f63c2 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LOGOMarkerMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm0050", + "input": { + "video_folder": "./images/0050", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 3 7 1 4 2 10 8 9 6." + }, + "output": {} + }, + { + "id": "vm0507", + "input": { + "video_folder": "./images/0507", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 3 4 5 1 2." + }, + "output": {} + }, + { + "id": "vm0205", + "input": { + "video_folder": "./images/0205", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 3 2 4 1." + }, + "output": {} + }, + { + "id": "vm0047", + "input": { + "video_folder": "./images/0047", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 8 5 2 3 6 1 4 7." + }, + "output": {} + }, + { + "id": "vm0627", + "input": { + "video_folder": "./images/0627", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 34 11 5 16 24 30 12 32 31 18 10 36 37 7 22 28 6 3 14 25 35 8 13 9 2 15 19 21 4 17 1 23 27 26 29 20 33." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LongVideoAnimalTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LongVideoAnimalTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..bf8348d70fe2b280729168656f45779136dbf88b --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LongVideoAnimalTrack/annotation.json @@ -0,0 +1,42 @@ +{ + "task": "video object tracking, LaSOT long video, animal", + "data_source": "LaSOT", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0020", + "input": { + "video_folder": "./images/0020", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0022", + "input": { + "video_folder": "./images/0022", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0023", + "input": { + "video_folder": "./images/0023", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LongVideoCrowdTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LongVideoCrowdTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a085658a32993308a89353314d5cb58c969a0bc9 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LongVideoCrowdTrack/annotation.json @@ -0,0 +1,42 @@ +{ + "task": "video object tracking, crowd video, long, person_long", + "data_source": "DanceTrack", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_crowd1008", + "input": { + "video_folder": "./images/1008", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd1004", + "input": { + "video_folder": "./images/1004", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_crowd1007", + "input": { + "video_folder": "./images/1007", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LongVideoGeneralObjectTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LongVideoGeneralObjectTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..92badc635d56a6f10e8308ed6fb982c47820fd35 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LongVideoGeneralObjectTrack/annotation.json @@ -0,0 +1,42 @@ +{ + "task": "video object tracking, LaSOT long video, others", + "data_source": "LaSOT", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0013", + "input": { + "video_folder": "./images/0013", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0010", + "input": { + "video_folder": "./images/0010", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0019", + "input": { + "video_folder": "./images/0019", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LongVideoHumanTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LongVideoHumanTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c3183bb52fdd4a3d1cbfb14738a5928551b9e34f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LongVideoHumanTrack/annotation.json @@ -0,0 +1,42 @@ +{ + "task": "video object tracking, LaSOT long video, person", + "data_source": "LaSOT", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0034", + "input": { + "video_folder": "./images/0034", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0031", + "input": { + "video_folder": "./images/0031", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0038", + "input": { + "video_folder": "./images/0038", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/LongVideoVehicleTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/LongVideoVehicleTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..eb18602736eb2360f427987539f6bd0e3d5f7a3e --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/LongVideoVehicleTrack/annotation.json @@ -0,0 +1,42 @@ +{ + "task": "video object tracking, LaSOT long video, animal", + "data_source": "LaSOT", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0022", + "input": { + "video_folder": "./images/0022", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0024", + "input": { + "video_folder": "./images/0024", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0027", + "input": { + "video_folder": "./images/0027", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/MilitaryVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MilitaryVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f99acb258717a18e32ee202d63d1596665b16d2e --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MilitaryVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "MilitaryVideoQuestionAnswering", + "data_source": "wildqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_militaryvideoquestionanswering_0021", + "input": { + "video_file_list": [ + "408/0.jpg", + "408/1.jpg", + "408/2.jpg", + "408/3.jpg", + "408/4.jpg", + "408/5.jpg", + "408/6.jpg", + "408/7.jpg", + "408/8.jpg", + "408/9.jpg", + "408/10.jpg", + "408/11.jpg", + "408/12.jpg", + "408/13.jpg", + "408/14.jpg", + "408/15.jpg", + "408/16.jpg", + "408/17.jpg", + "408/18.jpg", + "408/19.jpg", + "408/20.jpg", + "408/21.jpg", + "408/22.jpg", + "408/23.jpg", + "408/24.jpg", + "408/25.jpg", + "408/26.jpg", + "408/27.jpg", + "408/28.jpg", + "408/29.jpg", + "408/30.jpg", + "408/31.jpg", + "408/32.jpg", + "408/33.jpg", + "408/34.jpg", + "408/35.jpg", + "408/36.jpg", + "408/37.jpg", + "408/38.jpg", + "408/39.jpg", + "408/40.jpg", + "408/41.jpg", + "408/42.jpg", + "408/43.jpg", + "408/44.jpg", + "408/45.jpg", + "408/46.jpg", + "408/47.jpg", + "408/48.jpg", + "408/49.jpg", + "408/50.jpg", + "408/51.jpg", + "408/52.jpg", + "408/53.jpg", + "408/54.jpg", + "408/55.jpg", + "408/56.jpg", + "408/57.jpg", + "408/58.jpg", + "408/59.jpg", + "408/60.jpg", + "408/61.jpg", + "408/62.jpg", + "408/63.jpg" + ], + "prompt": "How does the rocket artillery travel?" + }, + "output": { + "text": "Through use of tracks like a tank" + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0075", + "input": { + "video_file_list": [ + "475/0.jpg", + "475/1.jpg", + "475/2.jpg", + "475/3.jpg", + "475/4.jpg", + "475/5.jpg", + "475/6.jpg", + "475/7.jpg", + "475/8.jpg", + "475/9.jpg", + "475/10.jpg", + "475/11.jpg", + "475/12.jpg", + "475/13.jpg", + "475/14.jpg", + "475/15.jpg", + "475/16.jpg", + "475/17.jpg", + "475/18.jpg", + "475/19.jpg", + "475/20.jpg", + "475/21.jpg", + "475/22.jpg", + "475/23.jpg", + "475/24.jpg", + "475/25.jpg", + "475/26.jpg", + "475/27.jpg", + "475/28.jpg", + "475/29.jpg", + "475/30.jpg", + "475/31.jpg", + "475/32.jpg", + "475/33.jpg", + "475/34.jpg", + "475/35.jpg", + "475/36.jpg", + "475/37.jpg", + "475/38.jpg", + "475/39.jpg", + "475/40.jpg", + "475/41.jpg", + "475/42.jpg", + "475/43.jpg", + "475/44.jpg", + "475/45.jpg", + "475/46.jpg", + "475/47.jpg", + "475/48.jpg", + "475/49.jpg", + "475/50.jpg", + "475/51.jpg", + "475/52.jpg", + "475/53.jpg", + "475/54.jpg", + "475/55.jpg", + "475/56.jpg", + "475/57.jpg", + "475/58.jpg", + "475/59.jpg", + "475/60.jpg", + "475/61.jpg", + "475/62.jpg", + "475/63.jpg" + ], + "prompt": "How many men are in the video?" + }, + "output": { + "text": "There are two men in the video." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0006", + "input": { + "video_file_list": [ + "476/0.jpg", + "476/1.jpg", + "476/2.jpg", + "476/3.jpg", + "476/4.jpg", + "476/5.jpg", + "476/6.jpg", + "476/7.jpg", + "476/8.jpg", + "476/9.jpg", + "476/10.jpg", + "476/11.jpg", + "476/12.jpg", + "476/13.jpg", + "476/14.jpg", + "476/15.jpg", + "476/16.jpg", + "476/17.jpg", + "476/18.jpg", + "476/19.jpg", + "476/20.jpg", + "476/21.jpg", + "476/22.jpg", + "476/23.jpg", + "476/24.jpg", + "476/25.jpg", + "476/26.jpg", + "476/27.jpg", + "476/28.jpg", + "476/29.jpg", + "476/30.jpg", + "476/31.jpg", + "476/32.jpg", + "476/33.jpg", + "476/34.jpg", + "476/35.jpg", + "476/36.jpg", + "476/37.jpg", + "476/38.jpg", + "476/39.jpg", + "476/40.jpg", + "476/41.jpg", + "476/42.jpg", + "476/43.jpg", + "476/44.jpg", + "476/45.jpg", + "476/46.jpg", + "476/47.jpg", + "476/48.jpg", + "476/49.jpg", + "476/50.jpg", + "476/51.jpg", + "476/52.jpg", + "476/53.jpg", + "476/54.jpg", + "476/55.jpg", + "476/56.jpg", + "476/57.jpg", + "476/58.jpg", + "476/59.jpg", + "476/60.jpg", + "476/61.jpg", + "476/62.jpg", + "476/63.jpg" + ], + "prompt": "Are there guns used in the video?" + }, + "output": { + "text": "Yes, there are guns used in the video." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0003", + "input": { + "video_file_list": [ + "511/0.jpg", + "511/1.jpg", + "511/2.jpg", + "511/3.jpg", + "511/4.jpg", + "511/5.jpg", + "511/6.jpg", + "511/7.jpg", + "511/8.jpg", + "511/9.jpg", + "511/10.jpg", + "511/11.jpg", + "511/12.jpg", + "511/13.jpg", + "511/14.jpg", + "511/15.jpg", + "511/16.jpg", + "511/17.jpg", + "511/18.jpg", + "511/19.jpg", + "511/20.jpg", + "511/21.jpg", + "511/22.jpg", + "511/23.jpg", + "511/24.jpg", + "511/25.jpg", + "511/26.jpg", + "511/27.jpg", + "511/28.jpg", + "511/29.jpg", + "511/30.jpg", + "511/31.jpg", + "511/32.jpg", + "511/33.jpg", + "511/34.jpg", + "511/35.jpg", + "511/36.jpg", + "511/37.jpg", + "511/38.jpg", + "511/39.jpg", + "511/40.jpg", + "511/41.jpg", + "511/42.jpg", + "511/43.jpg", + "511/44.jpg", + "511/45.jpg", + "511/46.jpg", + "511/47.jpg", + "511/48.jpg", + "511/49.jpg", + "511/50.jpg", + "511/51.jpg", + "511/52.jpg", + "511/53.jpg", + "511/54.jpg", + "511/55.jpg", + "511/56.jpg", + "511/57.jpg", + "511/58.jpg", + "511/59.jpg", + "511/60.jpg", + "511/61.jpg", + "511/62.jpg", + "511/63.jpg" + ], + "prompt": "Are there pilots in the video?" + }, + "output": { + "text": "Yes there are pilots in the video." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0029", + "input": { + "video_file_list": [ + "485/0.jpg", + "485/1.jpg", + "485/2.jpg", + "485/3.jpg", + "485/4.jpg", + "485/5.jpg", + "485/6.jpg", + "485/7.jpg", + "485/8.jpg", + "485/9.jpg", + "485/10.jpg", + "485/11.jpg", + "485/12.jpg", + "485/13.jpg", + "485/14.jpg", + "485/15.jpg", + "485/16.jpg", + "485/17.jpg", + "485/18.jpg", + "485/19.jpg", + "485/20.jpg", + "485/21.jpg", + "485/22.jpg", + "485/23.jpg", + "485/24.jpg", + "485/25.jpg", + "485/26.jpg", + "485/27.jpg", + "485/28.jpg", + "485/29.jpg", + "485/30.jpg", + "485/31.jpg", + "485/32.jpg", + "485/33.jpg", + "485/34.jpg", + "485/35.jpg", + "485/36.jpg", + "485/37.jpg", + "485/38.jpg", + "485/39.jpg", + "485/40.jpg", + "485/41.jpg", + "485/42.jpg", + "485/43.jpg", + "485/44.jpg", + "485/45.jpg", + "485/46.jpg", + "485/47.jpg", + "485/48.jpg", + "485/49.jpg", + "485/50.jpg", + "485/51.jpg", + "485/52.jpg", + "485/53.jpg", + "485/54.jpg", + "485/55.jpg", + "485/56.jpg", + "485/57.jpg", + "485/58.jpg", + "485/59.jpg", + "485/60.jpg", + "485/61.jpg", + "485/62.jpg", + "485/63.jpg" + ], + "prompt": "What type of ordnance is used by the soldiers in the video?" + }, + "output": { + "text": "The type of ordnance used by the soldiers in the video was artillery." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0033", + "input": { + "video_file_list": [ + "446/0.jpg", + "446/1.jpg", + "446/2.jpg", + "446/3.jpg", + "446/4.jpg", + "446/5.jpg", + "446/6.jpg", + "446/7.jpg", + "446/8.jpg", + "446/9.jpg", + "446/10.jpg", + "446/11.jpg", + "446/12.jpg", + "446/13.jpg", + "446/14.jpg", + "446/15.jpg", + "446/16.jpg", + "446/17.jpg", + "446/18.jpg", + "446/19.jpg", + "446/20.jpg", + "446/21.jpg", + "446/22.jpg", + "446/23.jpg", + "446/24.jpg", + "446/25.jpg", + "446/26.jpg", + "446/27.jpg", + "446/28.jpg", + "446/29.jpg", + "446/30.jpg", + "446/31.jpg", + "446/32.jpg", + "446/33.jpg", + "446/34.jpg", + "446/35.jpg", + "446/36.jpg", + "446/37.jpg", + "446/38.jpg", + "446/39.jpg", + "446/40.jpg", + "446/41.jpg", + "446/42.jpg", + "446/43.jpg", + "446/44.jpg", + "446/45.jpg", + "446/46.jpg", + "446/47.jpg", + "446/48.jpg", + "446/49.jpg", + "446/50.jpg", + "446/51.jpg", + "446/52.jpg", + "446/53.jpg", + "446/54.jpg", + "446/55.jpg", + "446/56.jpg", + "446/57.jpg", + "446/58.jpg", + "446/59.jpg", + "446/60.jpg", + "446/61.jpg", + "446/62.jpg", + "446/63.jpg" + ], + "prompt": "What are they receiving?" + }, + "output": { + "text": "It appears that they are receiving a smaller vehicle on board their amphibious vessel. That vehicle could have completed a mission or might be carrying supplies for replenishment." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0036", + "input": { + "video_file_list": [ + "463/0.jpg", + "463/1.jpg", + "463/2.jpg", + "463/3.jpg", + "463/4.jpg", + "463/5.jpg", + "463/6.jpg", + "463/7.jpg", + "463/8.jpg", + "463/9.jpg", + "463/10.jpg", + "463/11.jpg", + "463/12.jpg", + "463/13.jpg", + "463/14.jpg", + "463/15.jpg", + "463/16.jpg", + "463/17.jpg", + "463/18.jpg", + "463/19.jpg", + "463/20.jpg", + "463/21.jpg", + "463/22.jpg", + "463/23.jpg", + "463/24.jpg", + "463/25.jpg", + "463/26.jpg", + "463/27.jpg", + "463/28.jpg", + "463/29.jpg", + "463/30.jpg", + "463/31.jpg", + "463/32.jpg", + "463/33.jpg", + "463/34.jpg", + "463/35.jpg", + "463/36.jpg", + "463/37.jpg", + "463/38.jpg", + "463/39.jpg", + "463/40.jpg", + "463/41.jpg", + "463/42.jpg", + "463/43.jpg", + "463/44.jpg", + "463/45.jpg", + "463/46.jpg", + "463/47.jpg", + "463/48.jpg", + "463/49.jpg", + "463/50.jpg", + "463/51.jpg", + "463/52.jpg", + "463/53.jpg", + "463/54.jpg", + "463/55.jpg", + "463/56.jpg", + "463/57.jpg", + "463/58.jpg", + "463/59.jpg", + "463/60.jpg", + "463/61.jpg", + "463/62.jpg", + "463/63.jpg" + ], + "prompt": "Is the ship sailing in the video?" + }, + "output": { + "text": "No the ship is capsized in the video." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0044", + "input": { + "video_file_list": [ + "466/0.jpg", + "466/1.jpg", + "466/2.jpg", + "466/3.jpg", + "466/4.jpg", + "466/5.jpg", + "466/6.jpg", + "466/7.jpg", + "466/8.jpg", + "466/9.jpg", + "466/10.jpg", + "466/11.jpg", + "466/12.jpg", + "466/13.jpg", + "466/14.jpg", + "466/15.jpg", + "466/16.jpg", + "466/17.jpg", + "466/18.jpg", + "466/19.jpg", + "466/20.jpg", + "466/21.jpg", + "466/22.jpg", + "466/23.jpg", + "466/24.jpg", + "466/25.jpg", + "466/26.jpg", + "466/27.jpg", + "466/28.jpg", + "466/29.jpg", + "466/30.jpg", + "466/31.jpg", + "466/32.jpg", + "466/33.jpg", + "466/34.jpg", + "466/35.jpg", + "466/36.jpg", + "466/37.jpg", + "466/38.jpg", + "466/39.jpg", + "466/40.jpg", + "466/41.jpg", + "466/42.jpg", + "466/43.jpg", + "466/44.jpg", + "466/45.jpg", + "466/46.jpg", + "466/47.jpg", + "466/48.jpg", + "466/49.jpg", + "466/50.jpg", + "466/51.jpg", + "466/52.jpg", + "466/53.jpg", + "466/54.jpg", + "466/55.jpg", + "466/56.jpg", + "466/57.jpg", + "466/58.jpg", + "466/59.jpg", + "466/60.jpg", + "466/61.jpg", + "466/62.jpg", + "466/63.jpg" + ], + "prompt": "Can gunshots be heard in the video?" + }, + "output": { + "text": "Yes gunshots can be heard in the video." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0034", + "input": { + "video_file_list": [ + "517/0.jpg", + "517/1.jpg", + "517/2.jpg", + "517/3.jpg", + "517/4.jpg", + "517/5.jpg", + "517/6.jpg", + "517/7.jpg", + "517/8.jpg", + "517/9.jpg", + "517/10.jpg", + "517/11.jpg", + "517/12.jpg", + "517/13.jpg", + "517/14.jpg", + "517/15.jpg", + "517/16.jpg", + "517/17.jpg", + "517/18.jpg", + "517/19.jpg", + "517/20.jpg", + "517/21.jpg", + "517/22.jpg", + "517/23.jpg", + "517/24.jpg", + "517/25.jpg", + "517/26.jpg", + "517/27.jpg", + "517/28.jpg", + "517/29.jpg", + "517/30.jpg", + "517/31.jpg", + "517/32.jpg", + "517/33.jpg", + "517/34.jpg", + "517/35.jpg", + "517/36.jpg", + "517/37.jpg", + "517/38.jpg", + "517/39.jpg", + "517/40.jpg", + "517/41.jpg", + "517/42.jpg", + "517/43.jpg", + "517/44.jpg", + "517/45.jpg", + "517/46.jpg", + "517/47.jpg", + "517/48.jpg", + "517/49.jpg", + "517/50.jpg", + "517/51.jpg", + "517/52.jpg", + "517/53.jpg", + "517/54.jpg", + "517/55.jpg", + "517/56.jpg", + "517/57.jpg", + "517/58.jpg", + "517/59.jpg", + "517/60.jpg", + "517/61.jpg", + "517/62.jpg", + "517/63.jpg" + ], + "prompt": "Where is the fighter jet's unit assignment?" + }, + "output": { + "text": "The fighter jet's unit assignment is Kadena AB, Japan." + } + }, + { + "id": "vc_closeset_militaryvideoquestionanswering_0062", + "input": { + "video_file_list": [ + "376/0.jpg", + "376/1.jpg", + "376/2.jpg", + "376/3.jpg", + "376/4.jpg", + "376/5.jpg", + "376/6.jpg", + "376/7.jpg", + "376/8.jpg", + "376/9.jpg", + "376/10.jpg", + "376/11.jpg", + "376/12.jpg", + "376/13.jpg", + "376/14.jpg", + "376/15.jpg", + "376/16.jpg", + "376/17.jpg", + "376/18.jpg", + "376/19.jpg", + "376/20.jpg", + "376/21.jpg", + "376/22.jpg", + "376/23.jpg", + "376/24.jpg", + "376/25.jpg", + "376/26.jpg", + "376/27.jpg", + "376/28.jpg", + "376/29.jpg", + "376/30.jpg", + "376/31.jpg", + "376/32.jpg", + "376/33.jpg", + "376/34.jpg", + "376/35.jpg", + "376/36.jpg", + "376/37.jpg", + "376/38.jpg", + "376/39.jpg", + "376/40.jpg", + "376/41.jpg", + "376/42.jpg", + "376/43.jpg", + "376/44.jpg", + "376/45.jpg", + "376/46.jpg", + "376/47.jpg", + "376/48.jpg", + "376/49.jpg", + "376/50.jpg", + "376/51.jpg", + "376/52.jpg", + "376/53.jpg", + "376/54.jpg", + "376/55.jpg", + "376/56.jpg", + "376/57.jpg", + "376/58.jpg", + "376/59.jpg", + "376/60.jpg", + "376/61.jpg", + "376/62.jpg", + "376/63.jpg" + ], + "prompt": "Is the vehicle moving towards something?" + }, + "output": { + "text": "The vehicle is moving towards a docking station." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/MotionMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MotionMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..43415b95782ea9828f6dcec8225be62289168782 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MotionMatch/annotation.json @@ -0,0 +1,68 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm1315", + "input": { + "video_folder": "./images/1315", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 13 11 5 8 9 12 6 7 4 1 2 10 3." + }, + "output": { + "answer": "10" + } + }, + { + "id": "vm0357", + "input": { + "video_folder": "./images/0357", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 13 1 17 11 5 2 8 12 18 3 7 10 4 16 9 14." + }, + "output": { + "answer": "None of them" + } + }, + { + "id": "vm1359", + "input": { + "video_folder": "./images/1359", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 1 3." + }, + "output": { + "answer": "3" + } + }, + { + "id": "vm0751", + "input": { + "video_folder": "./images/0751", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 3 10 5 2 17 21 6 24 18 20 15 23 19 7 8 16 12 13 22 1 9 4 11 14." + }, + "output": { + "answer": "7" + } + }, + { + "id": "vm1344", + "input": { + "video_folder": "./images/1344", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 4 3 2 6 5 7 1." + }, + "output": { + "answer": "1" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/MovieAndShowVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MovieAndShowVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8999b42306078afade68d5ab1a6ca7f1cc4d0dcc --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MovieAndShowVideoCaptioning/annotation.json @@ -0,0 +1,748 @@ +{ + "task": "MovieAndShowVideoCaptioning", + "data_source": "videomme", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_movieandshowvideocaptioning_0007", + "input": { + "video_file_list": [ + "1sTNqJVrqx8/frame_001.jpg", + "1sTNqJVrqx8/frame_002.jpg", + "1sTNqJVrqx8/frame_003.jpg", + "1sTNqJVrqx8/frame_004.jpg", + "1sTNqJVrqx8/frame_005.jpg", + "1sTNqJVrqx8/frame_006.jpg", + "1sTNqJVrqx8/frame_007.jpg", + "1sTNqJVrqx8/frame_008.jpg", + "1sTNqJVrqx8/frame_009.jpg", + "1sTNqJVrqx8/frame_010.jpg", + "1sTNqJVrqx8/frame_011.jpg", + "1sTNqJVrqx8/frame_012.jpg", + "1sTNqJVrqx8/frame_013.jpg", + "1sTNqJVrqx8/frame_014.jpg", + "1sTNqJVrqx8/frame_015.jpg", + "1sTNqJVrqx8/frame_016.jpg", + "1sTNqJVrqx8/frame_017.jpg", + "1sTNqJVrqx8/frame_018.jpg", + "1sTNqJVrqx8/frame_019.jpg", + "1sTNqJVrqx8/frame_020.jpg", + "1sTNqJVrqx8/frame_021.jpg", + "1sTNqJVrqx8/frame_022.jpg", + "1sTNqJVrqx8/frame_023.jpg", + "1sTNqJVrqx8/frame_024.jpg", + "1sTNqJVrqx8/frame_025.jpg", + "1sTNqJVrqx8/frame_026.jpg", + "1sTNqJVrqx8/frame_027.jpg", + "1sTNqJVrqx8/frame_028.jpg", + "1sTNqJVrqx8/frame_029.jpg", + "1sTNqJVrqx8/frame_030.jpg", + "1sTNqJVrqx8/frame_031.jpg", + "1sTNqJVrqx8/frame_032.jpg", + "1sTNqJVrqx8/frame_033.jpg", + "1sTNqJVrqx8/frame_034.jpg", + "1sTNqJVrqx8/frame_035.jpg", + "1sTNqJVrqx8/frame_036.jpg", + "1sTNqJVrqx8/frame_037.jpg", + "1sTNqJVrqx8/frame_038.jpg", + "1sTNqJVrqx8/frame_039.jpg", + "1sTNqJVrqx8/frame_040.jpg", + "1sTNqJVrqx8/frame_041.jpg", + "1sTNqJVrqx8/frame_042.jpg", + "1sTNqJVrqx8/frame_043.jpg", + "1sTNqJVrqx8/frame_044.jpg", + "1sTNqJVrqx8/frame_045.jpg", + "1sTNqJVrqx8/frame_046.jpg", + "1sTNqJVrqx8/frame_047.jpg", + "1sTNqJVrqx8/frame_048.jpg", + "1sTNqJVrqx8/frame_049.jpg", + "1sTNqJVrqx8/frame_050.jpg", + "1sTNqJVrqx8/frame_051.jpg", + "1sTNqJVrqx8/frame_052.jpg", + "1sTNqJVrqx8/frame_053.jpg", + "1sTNqJVrqx8/frame_054.jpg", + "1sTNqJVrqx8/frame_055.jpg", + "1sTNqJVrqx8/frame_056.jpg", + "1sTNqJVrqx8/frame_057.jpg", + "1sTNqJVrqx8/frame_058.jpg", + "1sTNqJVrqx8/frame_059.jpg", + "1sTNqJVrqx8/frame_060.jpg", + "1sTNqJVrqx8/frame_061.jpg", + "1sTNqJVrqx8/frame_062.jpg", + "1sTNqJVrqx8/frame_063.jpg", + "1sTNqJVrqx8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman playing basketball and piano while singing into a microphone. She is later seen on stage receiving feedback from judges." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0012", + "input": { + "video_file_list": [ + "tiMaUSvlzIU/frame_001.jpg", + "tiMaUSvlzIU/frame_002.jpg", + "tiMaUSvlzIU/frame_003.jpg", + "tiMaUSvlzIU/frame_004.jpg", + "tiMaUSvlzIU/frame_005.jpg", + "tiMaUSvlzIU/frame_006.jpg", + "tiMaUSvlzIU/frame_007.jpg", + "tiMaUSvlzIU/frame_008.jpg", + "tiMaUSvlzIU/frame_009.jpg", + "tiMaUSvlzIU/frame_010.jpg", + "tiMaUSvlzIU/frame_011.jpg", + "tiMaUSvlzIU/frame_012.jpg", + "tiMaUSvlzIU/frame_013.jpg", + "tiMaUSvlzIU/frame_014.jpg", + "tiMaUSvlzIU/frame_015.jpg", + "tiMaUSvlzIU/frame_016.jpg", + "tiMaUSvlzIU/frame_017.jpg", + "tiMaUSvlzIU/frame_018.jpg", + "tiMaUSvlzIU/frame_019.jpg", + "tiMaUSvlzIU/frame_020.jpg", + "tiMaUSvlzIU/frame_021.jpg", + "tiMaUSvlzIU/frame_022.jpg", + "tiMaUSvlzIU/frame_023.jpg", + "tiMaUSvlzIU/frame_024.jpg", + "tiMaUSvlzIU/frame_025.jpg", + "tiMaUSvlzIU/frame_026.jpg", + "tiMaUSvlzIU/frame_027.jpg", + "tiMaUSvlzIU/frame_028.jpg", + "tiMaUSvlzIU/frame_029.jpg", + "tiMaUSvlzIU/frame_030.jpg", + "tiMaUSvlzIU/frame_031.jpg", + "tiMaUSvlzIU/frame_032.jpg", + "tiMaUSvlzIU/frame_033.jpg", + "tiMaUSvlzIU/frame_034.jpg", + "tiMaUSvlzIU/frame_035.jpg", + "tiMaUSvlzIU/frame_036.jpg", + "tiMaUSvlzIU/frame_037.jpg", + "tiMaUSvlzIU/frame_038.jpg", + "tiMaUSvlzIU/frame_039.jpg", + "tiMaUSvlzIU/frame_040.jpg", + "tiMaUSvlzIU/frame_041.jpg", + "tiMaUSvlzIU/frame_042.jpg", + "tiMaUSvlzIU/frame_043.jpg", + "tiMaUSvlzIU/frame_044.jpg", + "tiMaUSvlzIU/frame_045.jpg", + "tiMaUSvlzIU/frame_046.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a group of people gathered at a table, with one individual using a phone and another reading a book. The setting is a room that includes a blue couch and a window." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0032", + "input": { + "video_file_list": [ + "TIK01MpwWGg/frame_001.jpg", + "TIK01MpwWGg/frame_002.jpg", + "TIK01MpwWGg/frame_003.jpg", + "TIK01MpwWGg/frame_004.jpg", + "TIK01MpwWGg/frame_005.jpg", + "TIK01MpwWGg/frame_006.jpg", + "TIK01MpwWGg/frame_007.jpg", + "TIK01MpwWGg/frame_008.jpg", + "TIK01MpwWGg/frame_009.jpg", + "TIK01MpwWGg/frame_010.jpg", + "TIK01MpwWGg/frame_011.jpg", + "TIK01MpwWGg/frame_012.jpg", + "TIK01MpwWGg/frame_013.jpg", + "TIK01MpwWGg/frame_014.jpg", + "TIK01MpwWGg/frame_015.jpg", + "TIK01MpwWGg/frame_016.jpg", + "TIK01MpwWGg/frame_017.jpg", + "TIK01MpwWGg/frame_018.jpg", + "TIK01MpwWGg/frame_019.jpg", + "TIK01MpwWGg/frame_020.jpg", + "TIK01MpwWGg/frame_021.jpg", + "TIK01MpwWGg/frame_022.jpg", + "TIK01MpwWGg/frame_023.jpg", + "TIK01MpwWGg/frame_024.jpg", + "TIK01MpwWGg/frame_025.jpg", + "TIK01MpwWGg/frame_026.jpg", + "TIK01MpwWGg/frame_027.jpg", + "TIK01MpwWGg/frame_028.jpg", + "TIK01MpwWGg/frame_029.jpg", + "TIK01MpwWGg/frame_030.jpg", + "TIK01MpwWGg/frame_031.jpg", + "TIK01MpwWGg/frame_032.jpg", + "TIK01MpwWGg/frame_033.jpg", + "TIK01MpwWGg/frame_034.jpg", + "TIK01MpwWGg/frame_035.jpg", + "TIK01MpwWGg/frame_036.jpg", + "TIK01MpwWGg/frame_037.jpg", + "TIK01MpwWGg/frame_038.jpg", + "TIK01MpwWGg/frame_039.jpg", + "TIK01MpwWGg/frame_040.jpg", + "TIK01MpwWGg/frame_041.jpg", + "TIK01MpwWGg/frame_042.jpg", + "TIK01MpwWGg/frame_043.jpg", + "TIK01MpwWGg/frame_044.jpg", + "TIK01MpwWGg/frame_045.jpg", + "TIK01MpwWGg/frame_046.jpg", + "TIK01MpwWGg/frame_047.jpg", + "TIK01MpwWGg/frame_048.jpg", + "TIK01MpwWGg/frame_049.jpg", + "TIK01MpwWGg/frame_050.jpg", + "TIK01MpwWGg/frame_051.jpg", + "TIK01MpwWGg/frame_052.jpg", + "TIK01MpwWGg/frame_053.jpg", + "TIK01MpwWGg/frame_054.jpg", + "TIK01MpwWGg/frame_055.jpg", + "TIK01MpwWGg/frame_056.jpg", + "TIK01MpwWGg/frame_057.jpg", + "TIK01MpwWGg/frame_058.jpg", + "TIK01MpwWGg/frame_059.jpg", + "TIK01MpwWGg/frame_060.jpg", + "TIK01MpwWGg/frame_061.jpg", + "TIK01MpwWGg/frame_062.jpg", + "TIK01MpwWGg/frame_063.jpg", + "TIK01MpwWGg/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man and woman who start by sitting on a couch and later move to a table for dinner and wine. They then go to sit on a couch in a dark room." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0001", + "input": { + "video_file_list": [ + "EVnzXA9b7Ww/frame_001.jpg", + "EVnzXA9b7Ww/frame_002.jpg", + "EVnzXA9b7Ww/frame_003.jpg", + "EVnzXA9b7Ww/frame_004.jpg", + "EVnzXA9b7Ww/frame_005.jpg", + "EVnzXA9b7Ww/frame_006.jpg", + "EVnzXA9b7Ww/frame_007.jpg", + "EVnzXA9b7Ww/frame_008.jpg", + "EVnzXA9b7Ww/frame_009.jpg", + "EVnzXA9b7Ww/frame_010.jpg", + "EVnzXA9b7Ww/frame_011.jpg", + "EVnzXA9b7Ww/frame_012.jpg", + "EVnzXA9b7Ww/frame_013.jpg", + "EVnzXA9b7Ww/frame_014.jpg", + "EVnzXA9b7Ww/frame_015.jpg", + "EVnzXA9b7Ww/frame_016.jpg", + "EVnzXA9b7Ww/frame_017.jpg", + "EVnzXA9b7Ww/frame_018.jpg", + "EVnzXA9b7Ww/frame_019.jpg", + "EVnzXA9b7Ww/frame_020.jpg", + "EVnzXA9b7Ww/frame_021.jpg", + "EVnzXA9b7Ww/frame_022.jpg", + "EVnzXA9b7Ww/frame_023.jpg", + "EVnzXA9b7Ww/frame_024.jpg", + "EVnzXA9b7Ww/frame_025.jpg", + "EVnzXA9b7Ww/frame_026.jpg", + "EVnzXA9b7Ww/frame_027.jpg", + "EVnzXA9b7Ww/frame_028.jpg", + "EVnzXA9b7Ww/frame_029.jpg", + "EVnzXA9b7Ww/frame_030.jpg", + "EVnzXA9b7Ww/frame_031.jpg", + "EVnzXA9b7Ww/frame_032.jpg", + "EVnzXA9b7Ww/frame_033.jpg", + "EVnzXA9b7Ww/frame_034.jpg", + "EVnzXA9b7Ww/frame_035.jpg", + "EVnzXA9b7Ww/frame_036.jpg", + "EVnzXA9b7Ww/frame_037.jpg", + "EVnzXA9b7Ww/frame_038.jpg", + "EVnzXA9b7Ww/frame_039.jpg", + "EVnzXA9b7Ww/frame_040.jpg", + "EVnzXA9b7Ww/frame_041.jpg", + "EVnzXA9b7Ww/frame_042.jpg", + "EVnzXA9b7Ww/frame_043.jpg", + "EVnzXA9b7Ww/frame_044.jpg", + "EVnzXA9b7Ww/frame_045.jpg", + "EVnzXA9b7Ww/frame_046.jpg", + "EVnzXA9b7Ww/frame_047.jpg", + "EVnzXA9b7Ww/frame_048.jpg", + "EVnzXA9b7Ww/frame_049.jpg", + "EVnzXA9b7Ww/frame_050.jpg", + "EVnzXA9b7Ww/frame_051.jpg", + "EVnzXA9b7Ww/frame_052.jpg", + "EVnzXA9b7Ww/frame_053.jpg", + "EVnzXA9b7Ww/frame_054.jpg", + "EVnzXA9b7Ww/frame_055.jpg", + "EVnzXA9b7Ww/frame_056.jpg", + "EVnzXA9b7Ww/frame_057.jpg", + "EVnzXA9b7Ww/frame_058.jpg", + "EVnzXA9b7Ww/frame_059.jpg", + "EVnzXA9b7Ww/frame_060.jpg", + "EVnzXA9b7Ww/frame_061.jpg", + "EVnzXA9b7Ww/frame_062.jpg", + "EVnzXA9b7Ww/frame_063.jpg", + "EVnzXA9b7Ww/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a bulldog riding a skateboard between people's legs and then being lifted by a man. A woman presents a certificate to a couple, while the bulldog lies on the ground." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0021", + "input": { + "video_file_list": [ + "4aPxxE345OM/frame_001.jpg", + "4aPxxE345OM/frame_002.jpg", + "4aPxxE345OM/frame_003.jpg", + "4aPxxE345OM/frame_004.jpg", + "4aPxxE345OM/frame_005.jpg", + "4aPxxE345OM/frame_006.jpg", + "4aPxxE345OM/frame_007.jpg", + "4aPxxE345OM/frame_008.jpg", + "4aPxxE345OM/frame_009.jpg", + "4aPxxE345OM/frame_010.jpg", + "4aPxxE345OM/frame_011.jpg", + "4aPxxE345OM/frame_012.jpg", + "4aPxxE345OM/frame_013.jpg", + "4aPxxE345OM/frame_014.jpg", + "4aPxxE345OM/frame_015.jpg", + "4aPxxE345OM/frame_016.jpg", + "4aPxxE345OM/frame_017.jpg", + "4aPxxE345OM/frame_018.jpg", + "4aPxxE345OM/frame_019.jpg", + "4aPxxE345OM/frame_020.jpg", + "4aPxxE345OM/frame_021.jpg", + "4aPxxE345OM/frame_022.jpg", + "4aPxxE345OM/frame_023.jpg", + "4aPxxE345OM/frame_024.jpg", + "4aPxxE345OM/frame_025.jpg", + "4aPxxE345OM/frame_026.jpg", + "4aPxxE345OM/frame_027.jpg", + "4aPxxE345OM/frame_028.jpg", + "4aPxxE345OM/frame_029.jpg", + "4aPxxE345OM/frame_030.jpg", + "4aPxxE345OM/frame_031.jpg", + "4aPxxE345OM/frame_032.jpg", + "4aPxxE345OM/frame_033.jpg", + "4aPxxE345OM/frame_034.jpg", + "4aPxxE345OM/frame_035.jpg", + "4aPxxE345OM/frame_036.jpg", + "4aPxxE345OM/frame_037.jpg", + "4aPxxE345OM/frame_038.jpg", + "4aPxxE345OM/frame_039.jpg", + "4aPxxE345OM/frame_040.jpg", + "4aPxxE345OM/frame_041.jpg", + "4aPxxE345OM/frame_042.jpg", + "4aPxxE345OM/frame_043.jpg", + "4aPxxE345OM/frame_044.jpg", + "4aPxxE345OM/frame_045.jpg", + "4aPxxE345OM/frame_046.jpg", + "4aPxxE345OM/frame_047.jpg", + "4aPxxE345OM/frame_048.jpg", + "4aPxxE345OM/frame_049.jpg", + "4aPxxE345OM/frame_050.jpg", + "4aPxxE345OM/frame_051.jpg", + "4aPxxE345OM/frame_052.jpg", + "4aPxxE345OM/frame_053.jpg", + "4aPxxE345OM/frame_054.jpg", + "4aPxxE345OM/frame_055.jpg", + "4aPxxE345OM/frame_056.jpg", + "4aPxxE345OM/frame_057.jpg", + "4aPxxE345OM/frame_058.jpg", + "4aPxxE345OM/frame_059.jpg", + "4aPxxE345OM/frame_060.jpg", + "4aPxxE345OM/frame_061.jpg", + "4aPxxE345OM/frame_062.jpg", + "4aPxxE345OM/frame_063.jpg", + "4aPxxE345OM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man and woman seated at a table, sipping coffee and conversing. They are later joined by two boys, who hug the man upon entering. The group then carries on with more talk and laughter." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0029", + "input": { + "video_file_list": [ + "G267g0DpCVg/frame_001.jpg", + "G267g0DpCVg/frame_002.jpg", + "G267g0DpCVg/frame_003.jpg", + "G267g0DpCVg/frame_004.jpg", + "G267g0DpCVg/frame_005.jpg", + "G267g0DpCVg/frame_006.jpg", + "G267g0DpCVg/frame_007.jpg", + "G267g0DpCVg/frame_008.jpg", + "G267g0DpCVg/frame_009.jpg", + "G267g0DpCVg/frame_010.jpg", + "G267g0DpCVg/frame_011.jpg", + "G267g0DpCVg/frame_012.jpg", + "G267g0DpCVg/frame_013.jpg", + "G267g0DpCVg/frame_014.jpg", + "G267g0DpCVg/frame_015.jpg", + "G267g0DpCVg/frame_016.jpg", + "G267g0DpCVg/frame_017.jpg", + "G267g0DpCVg/frame_018.jpg", + "G267g0DpCVg/frame_019.jpg", + "G267g0DpCVg/frame_020.jpg", + "G267g0DpCVg/frame_021.jpg", + "G267g0DpCVg/frame_022.jpg", + "G267g0DpCVg/frame_023.jpg", + "G267g0DpCVg/frame_024.jpg", + "G267g0DpCVg/frame_025.jpg", + "G267g0DpCVg/frame_026.jpg", + "G267g0DpCVg/frame_027.jpg", + "G267g0DpCVg/frame_028.jpg", + "G267g0DpCVg/frame_029.jpg", + "G267g0DpCVg/frame_030.jpg", + "G267g0DpCVg/frame_031.jpg", + "G267g0DpCVg/frame_032.jpg", + "G267g0DpCVg/frame_033.jpg", + "G267g0DpCVg/frame_034.jpg", + "G267g0DpCVg/frame_035.jpg", + "G267g0DpCVg/frame_036.jpg", + "G267g0DpCVg/frame_037.jpg", + "G267g0DpCVg/frame_038.jpg", + "G267g0DpCVg/frame_039.jpg", + "G267g0DpCVg/frame_040.jpg", + "G267g0DpCVg/frame_041.jpg", + "G267g0DpCVg/frame_042.jpg", + "G267g0DpCVg/frame_043.jpg", + "G267g0DpCVg/frame_044.jpg", + "G267g0DpCVg/frame_045.jpg", + "G267g0DpCVg/frame_046.jpg", + "G267g0DpCVg/frame_047.jpg", + "G267g0DpCVg/frame_048.jpg", + "G267g0DpCVg/frame_049.jpg", + "G267g0DpCVg/frame_050.jpg", + "G267g0DpCVg/frame_051.jpg", + "G267g0DpCVg/frame_052.jpg", + "G267g0DpCVg/frame_053.jpg", + "G267g0DpCVg/frame_054.jpg", + "G267g0DpCVg/frame_055.jpg", + "G267g0DpCVg/frame_056.jpg", + "G267g0DpCVg/frame_057.jpg", + "G267g0DpCVg/frame_058.jpg", + "G267g0DpCVg/frame_059.jpg", + "G267g0DpCVg/frame_060.jpg", + "G267g0DpCVg/frame_061.jpg", + "G267g0DpCVg/frame_062.jpg", + "G267g0DpCVg/frame_063.jpg", + "G267g0DpCVg/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman seated at a table, opening a container of Chinese food, and using chopsticks to eat." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0019", + "input": { + "video_file_list": [ + "MQEcUPeAdFs/frame_001.jpg", + "MQEcUPeAdFs/frame_002.jpg", + "MQEcUPeAdFs/frame_003.jpg", + "MQEcUPeAdFs/frame_004.jpg", + "MQEcUPeAdFs/frame_005.jpg", + "MQEcUPeAdFs/frame_006.jpg", + "MQEcUPeAdFs/frame_007.jpg", + "MQEcUPeAdFs/frame_008.jpg", + "MQEcUPeAdFs/frame_009.jpg", + "MQEcUPeAdFs/frame_010.jpg", + "MQEcUPeAdFs/frame_011.jpg", + "MQEcUPeAdFs/frame_012.jpg", + "MQEcUPeAdFs/frame_013.jpg", + "MQEcUPeAdFs/frame_014.jpg", + "MQEcUPeAdFs/frame_015.jpg", + "MQEcUPeAdFs/frame_016.jpg", + "MQEcUPeAdFs/frame_017.jpg", + "MQEcUPeAdFs/frame_018.jpg", + "MQEcUPeAdFs/frame_019.jpg", + "MQEcUPeAdFs/frame_020.jpg", + "MQEcUPeAdFs/frame_021.jpg", + "MQEcUPeAdFs/frame_022.jpg", + "MQEcUPeAdFs/frame_023.jpg", + "MQEcUPeAdFs/frame_024.jpg", + "MQEcUPeAdFs/frame_025.jpg", + "MQEcUPeAdFs/frame_026.jpg", + "MQEcUPeAdFs/frame_027.jpg", + "MQEcUPeAdFs/frame_028.jpg", + "MQEcUPeAdFs/frame_029.jpg", + "MQEcUPeAdFs/frame_030.jpg", + "MQEcUPeAdFs/frame_031.jpg", + "MQEcUPeAdFs/frame_032.jpg", + "MQEcUPeAdFs/frame_033.jpg", + "MQEcUPeAdFs/frame_034.jpg", + "MQEcUPeAdFs/frame_035.jpg", + "MQEcUPeAdFs/frame_036.jpg", + "MQEcUPeAdFs/frame_037.jpg", + "MQEcUPeAdFs/frame_038.jpg", + "MQEcUPeAdFs/frame_039.jpg", + "MQEcUPeAdFs/frame_040.jpg", + "MQEcUPeAdFs/frame_041.jpg", + "MQEcUPeAdFs/frame_042.jpg", + "MQEcUPeAdFs/frame_043.jpg", + "MQEcUPeAdFs/frame_044.jpg", + "MQEcUPeAdFs/frame_045.jpg", + "MQEcUPeAdFs/frame_046.jpg", + "MQEcUPeAdFs/frame_047.jpg", + "MQEcUPeAdFs/frame_048.jpg", + "MQEcUPeAdFs/frame_049.jpg", + "MQEcUPeAdFs/frame_050.jpg", + "MQEcUPeAdFs/frame_051.jpg", + "MQEcUPeAdFs/frame_052.jpg", + "MQEcUPeAdFs/frame_053.jpg", + "MQEcUPeAdFs/frame_054.jpg", + "MQEcUPeAdFs/frame_055.jpg", + "MQEcUPeAdFs/frame_056.jpg", + "MQEcUPeAdFs/frame_057.jpg", + "MQEcUPeAdFs/frame_058.jpg", + "MQEcUPeAdFs/frame_059.jpg", + "MQEcUPeAdFs/frame_060.jpg", + "MQEcUPeAdFs/frame_061.jpg", + "MQEcUPeAdFs/frame_062.jpg", + "MQEcUPeAdFs/frame_063.jpg", + "MQEcUPeAdFs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a group of men participating in different physical activities at the beach, such as weightlifting and boxing. One man is lifting a barbell, while another is sparring. Additionally, there is a man standing on the beach with his arms extended." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0014", + "input": { + "video_file_list": [ + "iC54QQSe4_I/frame_001.jpg", + "iC54QQSe4_I/frame_002.jpg", + "iC54QQSe4_I/frame_003.jpg", + "iC54QQSe4_I/frame_004.jpg", + "iC54QQSe4_I/frame_005.jpg", + "iC54QQSe4_I/frame_006.jpg", + "iC54QQSe4_I/frame_007.jpg", + "iC54QQSe4_I/frame_008.jpg", + "iC54QQSe4_I/frame_009.jpg", + "iC54QQSe4_I/frame_010.jpg", + "iC54QQSe4_I/frame_011.jpg", + "iC54QQSe4_I/frame_012.jpg", + "iC54QQSe4_I/frame_013.jpg", + "iC54QQSe4_I/frame_014.jpg", + "iC54QQSe4_I/frame_015.jpg", + "iC54QQSe4_I/frame_016.jpg", + "iC54QQSe4_I/frame_017.jpg", + "iC54QQSe4_I/frame_018.jpg", + "iC54QQSe4_I/frame_019.jpg", + "iC54QQSe4_I/frame_020.jpg", + "iC54QQSe4_I/frame_021.jpg", + "iC54QQSe4_I/frame_022.jpg", + "iC54QQSe4_I/frame_023.jpg", + "iC54QQSe4_I/frame_024.jpg", + "iC54QQSe4_I/frame_025.jpg", + "iC54QQSe4_I/frame_026.jpg", + "iC54QQSe4_I/frame_027.jpg", + "iC54QQSe4_I/frame_028.jpg", + "iC54QQSe4_I/frame_029.jpg", + "iC54QQSe4_I/frame_030.jpg", + "iC54QQSe4_I/frame_031.jpg", + "iC54QQSe4_I/frame_032.jpg", + "iC54QQSe4_I/frame_033.jpg", + "iC54QQSe4_I/frame_034.jpg", + "iC54QQSe4_I/frame_035.jpg", + "iC54QQSe4_I/frame_036.jpg", + "iC54QQSe4_I/frame_037.jpg", + "iC54QQSe4_I/frame_038.jpg", + "iC54QQSe4_I/frame_039.jpg", + "iC54QQSe4_I/frame_040.jpg", + "iC54QQSe4_I/frame_041.jpg", + "iC54QQSe4_I/frame_042.jpg", + "iC54QQSe4_I/frame_043.jpg", + "iC54QQSe4_I/frame_044.jpg", + "iC54QQSe4_I/frame_045.jpg", + "iC54QQSe4_I/frame_046.jpg", + "iC54QQSe4_I/frame_047.jpg", + "iC54QQSe4_I/frame_048.jpg", + "iC54QQSe4_I/frame_049.jpg", + "iC54QQSe4_I/frame_050.jpg", + "iC54QQSe4_I/frame_051.jpg", + "iC54QQSe4_I/frame_052.jpg", + "iC54QQSe4_I/frame_053.jpg", + "iC54QQSe4_I/frame_054.jpg", + "iC54QQSe4_I/frame_055.jpg", + "iC54QQSe4_I/frame_056.jpg", + "iC54QQSe4_I/frame_057.jpg", + "iC54QQSe4_I/frame_058.jpg", + "iC54QQSe4_I/frame_059.jpg", + "iC54QQSe4_I/frame_060.jpg", + "iC54QQSe4_I/frame_061.jpg", + "iC54QQSe4_I/frame_062.jpg", + "iC54QQSe4_I/frame_063.jpg", + "iC54QQSe4_I/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a girl photographing a boy, who later sits at a table with a man and a woman. The boy holds a piece of paper as the man drinks beer. Additionally, the boy and girl are shown seated together at a table." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0025", + "input": { + "video_file_list": [ + "uMIohuKRq58/frame_001.jpg", + "uMIohuKRq58/frame_002.jpg", + "uMIohuKRq58/frame_003.jpg", + "uMIohuKRq58/frame_004.jpg", + "uMIohuKRq58/frame_005.jpg", + "uMIohuKRq58/frame_006.jpg", + "uMIohuKRq58/frame_007.jpg", + "uMIohuKRq58/frame_008.jpg", + "uMIohuKRq58/frame_009.jpg", + "uMIohuKRq58/frame_010.jpg", + "uMIohuKRq58/frame_011.jpg", + "uMIohuKRq58/frame_012.jpg", + "uMIohuKRq58/frame_013.jpg", + "uMIohuKRq58/frame_014.jpg", + "uMIohuKRq58/frame_015.jpg", + "uMIohuKRq58/frame_016.jpg", + "uMIohuKRq58/frame_017.jpg", + "uMIohuKRq58/frame_018.jpg", + "uMIohuKRq58/frame_019.jpg", + "uMIohuKRq58/frame_020.jpg", + "uMIohuKRq58/frame_021.jpg", + "uMIohuKRq58/frame_022.jpg", + "uMIohuKRq58/frame_023.jpg", + "uMIohuKRq58/frame_024.jpg", + "uMIohuKRq58/frame_025.jpg", + "uMIohuKRq58/frame_026.jpg", + "uMIohuKRq58/frame_027.jpg", + "uMIohuKRq58/frame_028.jpg", + "uMIohuKRq58/frame_029.jpg", + "uMIohuKRq58/frame_030.jpg", + "uMIohuKRq58/frame_031.jpg", + "uMIohuKRq58/frame_032.jpg", + "uMIohuKRq58/frame_033.jpg", + "uMIohuKRq58/frame_034.jpg", + "uMIohuKRq58/frame_035.jpg", + "uMIohuKRq58/frame_036.jpg", + "uMIohuKRq58/frame_037.jpg", + "uMIohuKRq58/frame_038.jpg", + "uMIohuKRq58/frame_039.jpg", + "uMIohuKRq58/frame_040.jpg", + "uMIohuKRq58/frame_041.jpg", + "uMIohuKRq58/frame_042.jpg", + "uMIohuKRq58/frame_043.jpg", + "uMIohuKRq58/frame_044.jpg", + "uMIohuKRq58/frame_045.jpg", + "uMIohuKRq58/frame_046.jpg", + "uMIohuKRq58/frame_047.jpg", + "uMIohuKRq58/frame_048.jpg", + "uMIohuKRq58/frame_049.jpg", + "uMIohuKRq58/frame_050.jpg", + "uMIohuKRq58/frame_051.jpg", + "uMIohuKRq58/frame_052.jpg", + "uMIohuKRq58/frame_053.jpg", + "uMIohuKRq58/frame_054.jpg", + "uMIohuKRq58/frame_055.jpg", + "uMIohuKRq58/frame_056.jpg", + "uMIohuKRq58/frame_057.jpg", + "uMIohuKRq58/frame_058.jpg", + "uMIohuKRq58/frame_059.jpg", + "uMIohuKRq58/frame_060.jpg", + "uMIohuKRq58/frame_061.jpg", + "uMIohuKRq58/frame_062.jpg", + "uMIohuKRq58/frame_063.jpg", + "uMIohuKRq58/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man on a motorcycle firing at another man also on a motorcycle. The target crashes into a truck, while the shooter keeps firing." + } + }, + { + "id": "vc_closeset_movieandshowvideocaptioning_0017", + "input": { + "video_file_list": [ + "44G3dPME330/frame_001.jpg", + "44G3dPME330/frame_002.jpg", + "44G3dPME330/frame_003.jpg", + "44G3dPME330/frame_004.jpg", + "44G3dPME330/frame_005.jpg", + "44G3dPME330/frame_006.jpg", + "44G3dPME330/frame_007.jpg", + "44G3dPME330/frame_008.jpg", + "44G3dPME330/frame_009.jpg", + "44G3dPME330/frame_010.jpg", + "44G3dPME330/frame_011.jpg", + "44G3dPME330/frame_012.jpg", + "44G3dPME330/frame_013.jpg", + "44G3dPME330/frame_014.jpg", + "44G3dPME330/frame_015.jpg", + "44G3dPME330/frame_016.jpg", + "44G3dPME330/frame_017.jpg", + "44G3dPME330/frame_018.jpg", + "44G3dPME330/frame_019.jpg", + "44G3dPME330/frame_020.jpg", + "44G3dPME330/frame_021.jpg", + "44G3dPME330/frame_022.jpg", + "44G3dPME330/frame_023.jpg", + "44G3dPME330/frame_024.jpg", + "44G3dPME330/frame_025.jpg", + "44G3dPME330/frame_026.jpg", + "44G3dPME330/frame_027.jpg", + "44G3dPME330/frame_028.jpg", + "44G3dPME330/frame_029.jpg", + "44G3dPME330/frame_030.jpg", + "44G3dPME330/frame_031.jpg", + "44G3dPME330/frame_032.jpg", + "44G3dPME330/frame_033.jpg", + "44G3dPME330/frame_034.jpg", + "44G3dPME330/frame_035.jpg", + "44G3dPME330/frame_036.jpg", + "44G3dPME330/frame_037.jpg", + "44G3dPME330/frame_038.jpg", + "44G3dPME330/frame_039.jpg", + "44G3dPME330/frame_040.jpg", + "44G3dPME330/frame_041.jpg", + "44G3dPME330/frame_042.jpg", + "44G3dPME330/frame_043.jpg", + "44G3dPME330/frame_044.jpg", + "44G3dPME330/frame_045.jpg", + "44G3dPME330/frame_046.jpg", + "44G3dPME330/frame_047.jpg", + "44G3dPME330/frame_048.jpg", + "44G3dPME330/frame_049.jpg", + "44G3dPME330/frame_050.jpg", + "44G3dPME330/frame_051.jpg", + "44G3dPME330/frame_052.jpg", + "44G3dPME330/frame_053.jpg", + "44G3dPME330/frame_054.jpg", + "44G3dPME330/frame_055.jpg", + "44G3dPME330/frame_056.jpg", + "44G3dPME330/frame_057.jpg", + "44G3dPME330/frame_058.jpg", + "44G3dPME330/frame_059.jpg", + "44G3dPME330/frame_060.jpg", + "44G3dPME330/frame_061.jpg", + "44G3dPME330/frame_062.jpg", + "44G3dPME330/frame_063.jpg", + "44G3dPME330/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a group of people seated on couches and chairs in a cozy living room, with one individual holding a laptop. They seem to be engaging in a conversation or collaborating on something. The background features books, a lamp, and a coffee table." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/MovieVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MovieVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0ff7b8078bfd3fd98752ca1d557cdea4f0104296 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MovieVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "MovieVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_movievideoquestionanswering_0014", + "input": { + "video_file_list": [ + "G8IyDft9V8k/0.jpg", + "G8IyDft9V8k/1.jpg", + "G8IyDft9V8k/2.jpg", + "G8IyDft9V8k/3.jpg", + "G8IyDft9V8k/4.jpg", + "G8IyDft9V8k/5.jpg", + "G8IyDft9V8k/6.jpg", + "G8IyDft9V8k/7.jpg", + "G8IyDft9V8k/8.jpg", + "G8IyDft9V8k/9.jpg", + "G8IyDft9V8k/10.jpg", + "G8IyDft9V8k/11.jpg", + "G8IyDft9V8k/12.jpg", + "G8IyDft9V8k/13.jpg", + "G8IyDft9V8k/14.jpg", + "G8IyDft9V8k/15.jpg", + "G8IyDft9V8k/16.jpg", + "G8IyDft9V8k/17.jpg", + "G8IyDft9V8k/18.jpg", + "G8IyDft9V8k/19.jpg", + "G8IyDft9V8k/20.jpg", + "G8IyDft9V8k/21.jpg", + "G8IyDft9V8k/22.jpg", + "G8IyDft9V8k/23.jpg", + "G8IyDft9V8k/24.jpg", + "G8IyDft9V8k/25.jpg", + "G8IyDft9V8k/26.jpg", + "G8IyDft9V8k/27.jpg", + "G8IyDft9V8k/28.jpg", + "G8IyDft9V8k/29.jpg", + "G8IyDft9V8k/30.jpg", + "G8IyDft9V8k/31.jpg", + "G8IyDft9V8k/32.jpg", + "G8IyDft9V8k/33.jpg", + "G8IyDft9V8k/34.jpg", + "G8IyDft9V8k/35.jpg", + "G8IyDft9V8k/36.jpg", + "G8IyDft9V8k/37.jpg", + "G8IyDft9V8k/38.jpg", + "G8IyDft9V8k/39.jpg", + "G8IyDft9V8k/40.jpg", + "G8IyDft9V8k/41.jpg", + "G8IyDft9V8k/42.jpg", + "G8IyDft9V8k/43.jpg", + "G8IyDft9V8k/44.jpg", + "G8IyDft9V8k/45.jpg", + "G8IyDft9V8k/46.jpg", + "G8IyDft9V8k/47.jpg", + "G8IyDft9V8k/48.jpg", + "G8IyDft9V8k/49.jpg", + "G8IyDft9V8k/50.jpg", + "G8IyDft9V8k/51.jpg", + "G8IyDft9V8k/52.jpg", + "G8IyDft9V8k/53.jpg", + "G8IyDft9V8k/54.jpg", + "G8IyDft9V8k/55.jpg", + "G8IyDft9V8k/56.jpg", + "G8IyDft9V8k/57.jpg", + "G8IyDft9V8k/58.jpg", + "G8IyDft9V8k/59.jpg", + "G8IyDft9V8k/60.jpg", + "G8IyDft9V8k/61.jpg", + "G8IyDft9V8k/62.jpg", + "G8IyDft9V8k/63.jpg" + ], + "prompt": "What occurs right after the trailer for the upcoming Marvel movie?" + }, + "output": { + "text": "After the trailer, Jamaal Flinkley from Blacktree TV is seen conducting an interview with Samuel L. Jackson." + } + }, + { + "id": "vc_closeset_movievideoquestionanswering_0047", + "input": { + "video_file_list": [ + "t0TSev2xLeY/0.jpg", + "t0TSev2xLeY/1.jpg", + "t0TSev2xLeY/2.jpg", + "t0TSev2xLeY/3.jpg", + "t0TSev2xLeY/4.jpg", + "t0TSev2xLeY/5.jpg", + "t0TSev2xLeY/6.jpg", + "t0TSev2xLeY/7.jpg", + "t0TSev2xLeY/8.jpg", + "t0TSev2xLeY/9.jpg", + "t0TSev2xLeY/10.jpg", + "t0TSev2xLeY/11.jpg", + "t0TSev2xLeY/12.jpg", + "t0TSev2xLeY/13.jpg", + "t0TSev2xLeY/14.jpg", + "t0TSev2xLeY/15.jpg", + "t0TSev2xLeY/16.jpg", + "t0TSev2xLeY/17.jpg", + "t0TSev2xLeY/18.jpg", + "t0TSev2xLeY/19.jpg", + "t0TSev2xLeY/20.jpg", + "t0TSev2xLeY/21.jpg", + "t0TSev2xLeY/22.jpg", + "t0TSev2xLeY/23.jpg", + "t0TSev2xLeY/24.jpg", + "t0TSev2xLeY/25.jpg", + "t0TSev2xLeY/26.jpg", + "t0TSev2xLeY/27.jpg", + "t0TSev2xLeY/28.jpg", + "t0TSev2xLeY/29.jpg", + "t0TSev2xLeY/30.jpg", + "t0TSev2xLeY/31.jpg", + "t0TSev2xLeY/32.jpg", + "t0TSev2xLeY/33.jpg", + "t0TSev2xLeY/34.jpg", + "t0TSev2xLeY/35.jpg", + "t0TSev2xLeY/36.jpg", + 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Following this brief scene, the video transitions to a slide showcasing a visual representation of YouTube Originals, a platform known for its original content. Produced by the creators of \"Lost\" and in collaboration with the producers of \"Procedures of the Crown,\" the video reveals a new series titled \"Origin.\" The story of \"Origin\" revolves around individuals who embark on a boat seeking a fresh start, only to face a mysterious threat that starts killing the passengers. Initially filled with hope for a new life, the passengers soon find themselves struggling for survival. The video concludes by encouraging viewers to subscribe to the Origin channel to watch all episodes, with a release date of November 14. Overall, the video serves as an introduction to the suspenseful and thrilling narrative of \"Origin,\" leveraging its association with YouTube Originals and the well-known creators behind \"Lost\" and \"Procedures of the Crown.\" It emphasizes the gripping storyline of passengers on a voyage who face a deadly threat, turning their quest for a new beginning into a battle for survival, and invites the audience to subscribe to the Origin channel for ongoing access to the series." + } + }, + { + "id": "vc_closeset_movievideoquestionanswering_0011", + "input": { + "video_file_list": [ + "cdo21gykyPo/0.jpg", + "cdo21gykyPo/1.jpg", + "cdo21gykyPo/2.jpg", + "cdo21gykyPo/3.jpg", + "cdo21gykyPo/4.jpg", + "cdo21gykyPo/5.jpg", + "cdo21gykyPo/6.jpg", + "cdo21gykyPo/7.jpg", + "cdo21gykyPo/8.jpg", + "cdo21gykyPo/9.jpg", + "cdo21gykyPo/10.jpg", + "cdo21gykyPo/11.jpg", + "cdo21gykyPo/12.jpg", + "cdo21gykyPo/13.jpg", + "cdo21gykyPo/14.jpg", + "cdo21gykyPo/15.jpg", + "cdo21gykyPo/16.jpg", + 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but encounter a mysterious threat that begins killing them, compelling them to fight for survival." + } + }, + { + "id": "vc_closeset_movievideoquestionanswering_0050", + "input": { + "video_file_list": [ + "yP_xX2WykMo/0.jpg", + "yP_xX2WykMo/1.jpg", + "yP_xX2WykMo/2.jpg", + "yP_xX2WykMo/3.jpg", + "yP_xX2WykMo/4.jpg", + "yP_xX2WykMo/5.jpg", + "yP_xX2WykMo/6.jpg", + "yP_xX2WykMo/7.jpg", + "yP_xX2WykMo/8.jpg", + "yP_xX2WykMo/9.jpg", + "yP_xX2WykMo/10.jpg", + "yP_xX2WykMo/11.jpg", + "yP_xX2WykMo/12.jpg", + "yP_xX2WykMo/13.jpg", + "yP_xX2WykMo/14.jpg", + "yP_xX2WykMo/15.jpg", + "yP_xX2WykMo/16.jpg", + "yP_xX2WykMo/17.jpg", + "yP_xX2WykMo/18.jpg", + "yP_xX2WykMo/19.jpg", + "yP_xX2WykMo/20.jpg", + "yP_xX2WykMo/21.jpg", + "yP_xX2WykMo/22.jpg", + "yP_xX2WykMo/23.jpg", + "yP_xX2WykMo/24.jpg", + "yP_xX2WykMo/25.jpg", + "yP_xX2WykMo/26.jpg", + "yP_xX2WykMo/27.jpg", + "yP_xX2WykMo/28.jpg", + "yP_xX2WykMo/29.jpg", + "yP_xX2WykMo/30.jpg", + "yP_xX2WykMo/31.jpg", + "yP_xX2WykMo/32.jpg", + 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disadvantages. This includes providing detailed statistics and weaponry of both entities, highlighting their strengths and weaknesses, and explaining how these factors play into their confrontation." + } + }, + { + "id": "vc_closeset_movievideoquestionanswering_0055", + "input": { + "video_file_list": [ + "452tO2cngdk/0.jpg", + "452tO2cngdk/1.jpg", + "452tO2cngdk/2.jpg", + "452tO2cngdk/3.jpg", + "452tO2cngdk/4.jpg", + "452tO2cngdk/5.jpg", + "452tO2cngdk/6.jpg", + "452tO2cngdk/7.jpg", + "452tO2cngdk/8.jpg", + "452tO2cngdk/9.jpg", + "452tO2cngdk/10.jpg", + "452tO2cngdk/11.jpg", + "452tO2cngdk/12.jpg", + "452tO2cngdk/13.jpg", + "452tO2cngdk/14.jpg", + "452tO2cngdk/15.jpg", + "452tO2cngdk/16.jpg", + "452tO2cngdk/17.jpg", + "452tO2cngdk/18.jpg", + "452tO2cngdk/19.jpg", + "452tO2cngdk/20.jpg", + "452tO2cngdk/21.jpg", + "452tO2cngdk/22.jpg", + "452tO2cngdk/23.jpg", + "452tO2cngdk/24.jpg", + "452tO2cngdk/25.jpg", + "452tO2cngdk/26.jpg", + "452tO2cngdk/27.jpg", + "452tO2cngdk/28.jpg", + "452tO2cngdk/29.jpg", + "452tO2cngdk/30.jpg", + "452tO2cngdk/31.jpg", + "452tO2cngdk/32.jpg", + "452tO2cngdk/33.jpg", + "452tO2cngdk/34.jpg", + "452tO2cngdk/35.jpg", + "452tO2cngdk/36.jpg", + "452tO2cngdk/37.jpg", + "452tO2cngdk/38.jpg", + "452tO2cngdk/39.jpg", + "452tO2cngdk/40.jpg", + "452tO2cngdk/41.jpg", + "452tO2cngdk/42.jpg", + "452tO2cngdk/43.jpg", + "452tO2cngdk/44.jpg", + "452tO2cngdk/45.jpg", + "452tO2cngdk/46.jpg", + "452tO2cngdk/47.jpg", + "452tO2cngdk/48.jpg", + "452tO2cngdk/49.jpg", + "452tO2cngdk/50.jpg", + "452tO2cngdk/51.jpg", + "452tO2cngdk/52.jpg", + "452tO2cngdk/53.jpg", + "452tO2cngdk/54.jpg", + "452tO2cngdk/55.jpg", + "452tO2cngdk/56.jpg", + "452tO2cngdk/57.jpg", + "452tO2cngdk/58.jpg", + "452tO2cngdk/59.jpg", + "452tO2cngdk/60.jpg", + "452tO2cngdk/61.jpg", + "452tO2cngdk/62.jpg", + "452tO2cngdk/63.jpg" + ], + "prompt": "What features are highlighted in the baby doll's appearance?" + }, + "output": { + "text": "The baby doll is adorned with a cute headband, has a pleasant smile, is wearing a sparkling frock, and has poseable legs. It also comes with a hairbrush and a smaller companion doll." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/MusicVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MusicVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..39ce36f5924c220fd9f442f0f7f4c479e85af759 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MusicVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "MusicVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_musicvideoquestionanswering_0004", + "input": { + "video_file_list": [ + "pc8SJsW4z3M/0.jpg", + "pc8SJsW4z3M/1.jpg", + "pc8SJsW4z3M/2.jpg", + "pc8SJsW4z3M/3.jpg", + "pc8SJsW4z3M/4.jpg", + "pc8SJsW4z3M/5.jpg", + 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"Can you describe the entire video in detail from start to finish?" + }, + "output": { + "text": "The video starts with a laptop displaying the Soy Digital website, which showcases kids in a school environment and a boy playing a game. As the video progresses, music plays in the background while showing lots of kids and a teacher in a room. Meanwhile, there is also a scene with a guy in a park discussing the classroom environment. The video then demonstrates how kids are being trained to use computers and various devices, as well as playing video games on tablets. It emphasizes the installation of an app on smartphones and tablets, which are distributed to students for educational purposes. The video concludes with scenes of kids playing and enjoying various activities on their tablets." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0000", + "input": { + "video_file_list": [ + "UanqH4YUxOc/0.jpg", + "UanqH4YUxOc/1.jpg", + "UanqH4YUxOc/2.jpg", + "UanqH4YUxOc/3.jpg", + "UanqH4YUxOc/4.jpg", + "UanqH4YUxOc/5.jpg", + "UanqH4YUxOc/6.jpg", + "UanqH4YUxOc/7.jpg", + "UanqH4YUxOc/8.jpg", + "UanqH4YUxOc/9.jpg", + "UanqH4YUxOc/10.jpg", + "UanqH4YUxOc/11.jpg", + "UanqH4YUxOc/12.jpg", + "UanqH4YUxOc/13.jpg", + "UanqH4YUxOc/14.jpg", + "UanqH4YUxOc/15.jpg", + "UanqH4YUxOc/16.jpg", + "UanqH4YUxOc/17.jpg", + "UanqH4YUxOc/18.jpg", + "UanqH4YUxOc/19.jpg", + "UanqH4YUxOc/20.jpg", + "UanqH4YUxOc/21.jpg", + "UanqH4YUxOc/22.jpg", + "UanqH4YUxOc/23.jpg", + "UanqH4YUxOc/24.jpg", + "UanqH4YUxOc/25.jpg", + "UanqH4YUxOc/26.jpg", + "UanqH4YUxOc/27.jpg", + "UanqH4YUxOc/28.jpg", + "UanqH4YUxOc/29.jpg", + "UanqH4YUxOc/30.jpg", + "UanqH4YUxOc/31.jpg", + "UanqH4YUxOc/32.jpg", + "UanqH4YUxOc/33.jpg", + "UanqH4YUxOc/34.jpg", + "UanqH4YUxOc/35.jpg", + "UanqH4YUxOc/36.jpg", + "UanqH4YUxOc/37.jpg", + "UanqH4YUxOc/38.jpg", + "UanqH4YUxOc/39.jpg", + "UanqH4YUxOc/40.jpg", + "UanqH4YUxOc/41.jpg", + "UanqH4YUxOc/42.jpg", + "UanqH4YUxOc/43.jpg", + "UanqH4YUxOc/44.jpg", + "UanqH4YUxOc/45.jpg", + "UanqH4YUxOc/46.jpg", + "UanqH4YUxOc/47.jpg", + "UanqH4YUxOc/48.jpg", + "UanqH4YUxOc/49.jpg", + "UanqH4YUxOc/50.jpg", + "UanqH4YUxOc/51.jpg", + "UanqH4YUxOc/52.jpg", + "UanqH4YUxOc/53.jpg", + "UanqH4YUxOc/54.jpg", + "UanqH4YUxOc/55.jpg", + "UanqH4YUxOc/56.jpg", + "UanqH4YUxOc/57.jpg", + "UanqH4YUxOc/58.jpg", + "UanqH4YUxOc/59.jpg", + "UanqH4YUxOc/60.jpg", + "UanqH4YUxOc/61.jpg", + "UanqH4YUxOc/62.jpg", + "UanqH4YUxOc/63.jpg" + ], + "prompt": "Can you describe the entire video in detail from start to finish?" + }, + "output": { + "text": "The video commences with a gentleman in a grey shirt situated in a shop background, extending a warm welcome to the audience. He proceeds to showcase various types of guitar plectrums neatly arranged in a box above the table. The individual plectrums are displayed, and the host demonstrates the distinctive sounds produced by each one while playing the guitar. Throughout the video, he skillfully plays the guitar using each plectrum, providing explanations for the unique characteristics and tones produced by different picks. The demonstration encompasses a diverse range of plectrums, emphasizing their impact on creating distinct musical experiences. In the concluding segment, the host offers a final commentary on how different plectrums contribute to varied music styles and tones. The video concludes with the host emphasizing the importance of selecting the right plectrum for different musical preferences. Overall, the video provides a comprehensive overview of various guitar plectrums and their distinct musical effects." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0029", + "input": { + "video_file_list": [ + "5_FSXjfsEfY/0.jpg", + "5_FSXjfsEfY/1.jpg", + "5_FSXjfsEfY/2.jpg", + "5_FSXjfsEfY/3.jpg", + "5_FSXjfsEfY/4.jpg", + "5_FSXjfsEfY/5.jpg", + "5_FSXjfsEfY/6.jpg", + "5_FSXjfsEfY/7.jpg", + "5_FSXjfsEfY/8.jpg", + "5_FSXjfsEfY/9.jpg", + "5_FSXjfsEfY/10.jpg", + "5_FSXjfsEfY/11.jpg", + "5_FSXjfsEfY/12.jpg", + "5_FSXjfsEfY/13.jpg", + "5_FSXjfsEfY/14.jpg", + "5_FSXjfsEfY/15.jpg", + "5_FSXjfsEfY/16.jpg", + "5_FSXjfsEfY/17.jpg", + "5_FSXjfsEfY/18.jpg", + "5_FSXjfsEfY/19.jpg", + "5_FSXjfsEfY/20.jpg", + "5_FSXjfsEfY/21.jpg", + "5_FSXjfsEfY/22.jpg", + "5_FSXjfsEfY/23.jpg", + "5_FSXjfsEfY/24.jpg", + "5_FSXjfsEfY/25.jpg", + "5_FSXjfsEfY/26.jpg", + "5_FSXjfsEfY/27.jpg", + "5_FSXjfsEfY/28.jpg", + "5_FSXjfsEfY/29.jpg", + "5_FSXjfsEfY/30.jpg", + "5_FSXjfsEfY/31.jpg", + "5_FSXjfsEfY/32.jpg", + "5_FSXjfsEfY/33.jpg", + "5_FSXjfsEfY/34.jpg", + "5_FSXjfsEfY/35.jpg", + "5_FSXjfsEfY/36.jpg", + "5_FSXjfsEfY/37.jpg", + "5_FSXjfsEfY/38.jpg", + "5_FSXjfsEfY/39.jpg", + "5_FSXjfsEfY/40.jpg", + "5_FSXjfsEfY/41.jpg", + "5_FSXjfsEfY/42.jpg", + "5_FSXjfsEfY/43.jpg", + "5_FSXjfsEfY/44.jpg", + "5_FSXjfsEfY/45.jpg", + "5_FSXjfsEfY/46.jpg", + "5_FSXjfsEfY/47.jpg", + "5_FSXjfsEfY/48.jpg", + "5_FSXjfsEfY/49.jpg", + "5_FSXjfsEfY/50.jpg", + "5_FSXjfsEfY/51.jpg", + "5_FSXjfsEfY/52.jpg", + "5_FSXjfsEfY/53.jpg", + "5_FSXjfsEfY/54.jpg", + "5_FSXjfsEfY/55.jpg", + "5_FSXjfsEfY/56.jpg", + "5_FSXjfsEfY/57.jpg", + "5_FSXjfsEfY/58.jpg", + "5_FSXjfsEfY/59.jpg", + "5_FSXjfsEfY/60.jpg", + "5_FSXjfsEfY/61.jpg", + "5_FSXjfsEfY/62.jpg", + "5_FSXjfsEfY/63.jpg" + ], + "prompt": "Describe the sequence of events in the video." + }, + "output": { + "text": "The video starts with a visual display of \"La Granja de Zenon\". It then shows a cow and its calf emerging from their shelter. A man dressed in specific attire appears in front of a house, and a parrot arrives to have a conversation with him. Another man brings a tray with beverages and snacks to a table. The scene follows with the man and the parrot holding leaves, and the video ends with a slide encouraging viewers to subscribe." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0024", + "input": { + "video_file_list": [ + "5_FSXjfsEfY/0.jpg", + "5_FSXjfsEfY/1.jpg", + "5_FSXjfsEfY/2.jpg", + "5_FSXjfsEfY/3.jpg", + "5_FSXjfsEfY/4.jpg", + "5_FSXjfsEfY/5.jpg", + "5_FSXjfsEfY/6.jpg", + "5_FSXjfsEfY/7.jpg", + "5_FSXjfsEfY/8.jpg", + "5_FSXjfsEfY/9.jpg", + "5_FSXjfsEfY/10.jpg", + "5_FSXjfsEfY/11.jpg", + "5_FSXjfsEfY/12.jpg", + "5_FSXjfsEfY/13.jpg", + "5_FSXjfsEfY/14.jpg", + "5_FSXjfsEfY/15.jpg", + "5_FSXjfsEfY/16.jpg", + "5_FSXjfsEfY/17.jpg", + "5_FSXjfsEfY/18.jpg", + "5_FSXjfsEfY/19.jpg", + "5_FSXjfsEfY/20.jpg", + "5_FSXjfsEfY/21.jpg", + "5_FSXjfsEfY/22.jpg", + "5_FSXjfsEfY/23.jpg", + "5_FSXjfsEfY/24.jpg", + "5_FSXjfsEfY/25.jpg", + "5_FSXjfsEfY/26.jpg", + "5_FSXjfsEfY/27.jpg", + "5_FSXjfsEfY/28.jpg", + "5_FSXjfsEfY/29.jpg", + "5_FSXjfsEfY/30.jpg", + "5_FSXjfsEfY/31.jpg", + "5_FSXjfsEfY/32.jpg", + "5_FSXjfsEfY/33.jpg", + "5_FSXjfsEfY/34.jpg", + "5_FSXjfsEfY/35.jpg", + "5_FSXjfsEfY/36.jpg", + "5_FSXjfsEfY/37.jpg", + "5_FSXjfsEfY/38.jpg", + "5_FSXjfsEfY/39.jpg", + "5_FSXjfsEfY/40.jpg", + "5_FSXjfsEfY/41.jpg", + "5_FSXjfsEfY/42.jpg", + "5_FSXjfsEfY/43.jpg", + "5_FSXjfsEfY/44.jpg", + "5_FSXjfsEfY/45.jpg", + "5_FSXjfsEfY/46.jpg", + "5_FSXjfsEfY/47.jpg", + "5_FSXjfsEfY/48.jpg", + "5_FSXjfsEfY/49.jpg", + "5_FSXjfsEfY/50.jpg", + "5_FSXjfsEfY/51.jpg", + "5_FSXjfsEfY/52.jpg", + "5_FSXjfsEfY/53.jpg", + "5_FSXjfsEfY/54.jpg", + "5_FSXjfsEfY/55.jpg", + "5_FSXjfsEfY/56.jpg", + "5_FSXjfsEfY/57.jpg", + "5_FSXjfsEfY/58.jpg", + "5_FSXjfsEfY/59.jpg", + "5_FSXjfsEfY/60.jpg", + "5_FSXjfsEfY/61.jpg", + "5_FSXjfsEfY/62.jpg", + "5_FSXjfsEfY/63.jpg" + ], + "prompt": "What is the man in front of the house wearing?" + }, + "output": { + "text": "The man is wearing a white shirt, black coat, green pants, and a hat." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0018", + "input": { + "video_file_list": [ + "X5-__GShXNw/0.jpg", + "X5-__GShXNw/1.jpg", + "X5-__GShXNw/2.jpg", + "X5-__GShXNw/3.jpg", + "X5-__GShXNw/4.jpg", + "X5-__GShXNw/5.jpg", + "X5-__GShXNw/6.jpg", + "X5-__GShXNw/7.jpg", + "X5-__GShXNw/8.jpg", + "X5-__GShXNw/9.jpg", + "X5-__GShXNw/10.jpg", + "X5-__GShXNw/11.jpg", + "X5-__GShXNw/12.jpg", + "X5-__GShXNw/13.jpg", + "X5-__GShXNw/14.jpg", + "X5-__GShXNw/15.jpg", + "X5-__GShXNw/16.jpg", + "X5-__GShXNw/17.jpg", + "X5-__GShXNw/18.jpg", + "X5-__GShXNw/19.jpg", + "X5-__GShXNw/20.jpg", + "X5-__GShXNw/21.jpg", + "X5-__GShXNw/22.jpg", + "X5-__GShXNw/23.jpg", + "X5-__GShXNw/24.jpg", + "X5-__GShXNw/25.jpg", + "X5-__GShXNw/26.jpg", + "X5-__GShXNw/27.jpg", + "X5-__GShXNw/28.jpg", + "X5-__GShXNw/29.jpg", + "X5-__GShXNw/30.jpg", + "X5-__GShXNw/31.jpg", + "X5-__GShXNw/32.jpg", + "X5-__GShXNw/33.jpg", + "X5-__GShXNw/34.jpg", + "X5-__GShXNw/35.jpg", + "X5-__GShXNw/36.jpg", + "X5-__GShXNw/37.jpg", + "X5-__GShXNw/38.jpg", + "X5-__GShXNw/39.jpg", + "X5-__GShXNw/40.jpg", + "X5-__GShXNw/41.jpg", + "X5-__GShXNw/42.jpg", + "X5-__GShXNw/43.jpg", + "X5-__GShXNw/44.jpg", + "X5-__GShXNw/45.jpg", + "X5-__GShXNw/46.jpg", + "X5-__GShXNw/47.jpg", + "X5-__GShXNw/48.jpg", + "X5-__GShXNw/49.jpg", + "X5-__GShXNw/50.jpg", + "X5-__GShXNw/51.jpg", + "X5-__GShXNw/52.jpg", + "X5-__GShXNw/53.jpg", + "X5-__GShXNw/54.jpg", + "X5-__GShXNw/55.jpg", + "X5-__GShXNw/56.jpg", + "X5-__GShXNw/57.jpg", + "X5-__GShXNw/58.jpg", + "X5-__GShXNw/59.jpg", + "X5-__GShXNw/60.jpg", + "X5-__GShXNw/61.jpg", + "X5-__GShXNw/62.jpg", + "X5-__GShXNw/63.jpg" + ], + "prompt": "Can you describe the entire video from start to finish, including all the key guitar tunings discussed and their characteristics?" + }, + "output": { + "text": "The video begins with a slide featuring Marty Schwartz, a notable figure in the world of guitar playing. The focus of the discussion revolves around various guitar tunings, offering insights into different ways to tune the instrument for distinct sounds and playing styles. Firstly, the presenter introduces Drop D tuning, which is considered a standard tuning variation. This tuning involves lowering the pitch of the low E string to a D, allowing for unique chord voicings and heavier sounds commonly associated with rock and metal music. Next, Open G tuning is highlighted, with the tuning sequence D G D G B D. This tuning is popular among slide guitar players and is notable for its rich, resonant sound and ease of playing certain chord shapes. The video then moves on to Open D tuning, with the tuning sequence D A D F# A D. This tuning is favored by many folk musicians for its warm and open sound, and it allows for easy playing of fingerstyle arrangements. Following Open D, the presenter discusses DADGAD tuning, a variation that involves leaving the 5th, 4th, and 3rd strings unchanged while altering others. This tuning is particularly popular among folk guitarists and lends itself well to creating modal and drone-like textures. Lastly, the video introduces Nashville tuning, a standard tuning variation that involves using higher-pitched strings typically reserved for a 12-string guitar. This tuning produces a shimmering and bright sound, often used to complement acoustic guitar tracks in recordings. In summary, the video provides an overview of several guitar tunings, each offering unique sonic possibilities and catering to different musical genres and playing styles. Marty Schwartz\u2019s expertise helps elucidate the characteristics and applications of each tuning, offering valuable insights for guitarists looking to explore new sounds and techniques." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0005", + "input": { + "video_file_list": [ + "rDjgNhfmj10/0.jpg", + "rDjgNhfmj10/1.jpg", + "rDjgNhfmj10/2.jpg", + "rDjgNhfmj10/3.jpg", + "rDjgNhfmj10/4.jpg", + "rDjgNhfmj10/5.jpg", + "rDjgNhfmj10/6.jpg", + "rDjgNhfmj10/7.jpg", + "rDjgNhfmj10/8.jpg", + "rDjgNhfmj10/9.jpg", + "rDjgNhfmj10/10.jpg", + "rDjgNhfmj10/11.jpg", + "rDjgNhfmj10/12.jpg", + "rDjgNhfmj10/13.jpg", + "rDjgNhfmj10/14.jpg", + "rDjgNhfmj10/15.jpg", + "rDjgNhfmj10/16.jpg", + "rDjgNhfmj10/17.jpg", + "rDjgNhfmj10/18.jpg", + "rDjgNhfmj10/19.jpg", + "rDjgNhfmj10/20.jpg", + "rDjgNhfmj10/21.jpg", + "rDjgNhfmj10/22.jpg", + "rDjgNhfmj10/23.jpg", + "rDjgNhfmj10/24.jpg", + "rDjgNhfmj10/25.jpg", + "rDjgNhfmj10/26.jpg", + "rDjgNhfmj10/27.jpg", + "rDjgNhfmj10/28.jpg", + 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universal appeal." + } + }, + { + "id": "vc_closeset_musicvideoquestionanswering_0015", + "input": { + "video_file_list": [ + "ljc0u__cfPU/0.jpg", + "ljc0u__cfPU/1.jpg", + "ljc0u__cfPU/2.jpg", + "ljc0u__cfPU/3.jpg", + "ljc0u__cfPU/4.jpg", + "ljc0u__cfPU/5.jpg", + "ljc0u__cfPU/6.jpg", + "ljc0u__cfPU/7.jpg", + "ljc0u__cfPU/8.jpg", + "ljc0u__cfPU/9.jpg", + "ljc0u__cfPU/10.jpg", + "ljc0u__cfPU/11.jpg", + "ljc0u__cfPU/12.jpg", + "ljc0u__cfPU/13.jpg", + "ljc0u__cfPU/14.jpg", + "ljc0u__cfPU/15.jpg", + "ljc0u__cfPU/16.jpg", + "ljc0u__cfPU/17.jpg", + "ljc0u__cfPU/18.jpg", + "ljc0u__cfPU/19.jpg", + "ljc0u__cfPU/20.jpg", + "ljc0u__cfPU/21.jpg", + "ljc0u__cfPU/22.jpg", + "ljc0u__cfPU/23.jpg", + "ljc0u__cfPU/24.jpg", + "ljc0u__cfPU/25.jpg", + "ljc0u__cfPU/26.jpg", + "ljc0u__cfPU/27.jpg", + "ljc0u__cfPU/28.jpg", + "ljc0u__cfPU/29.jpg", + "ljc0u__cfPU/30.jpg", + "ljc0u__cfPU/31.jpg", + "ljc0u__cfPU/32.jpg", + "ljc0u__cfPU/33.jpg", + "ljc0u__cfPU/34.jpg", + "ljc0u__cfPU/35.jpg", + 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a/Scope-A/S-A-Quick/video/comprehension/MusicalInstrumentsVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/MusicalInstrumentsVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..000254588519b1e47035d6e0097be4cf0fdcbc32 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/MusicalInstrumentsVideoCaptioning/annotation.json @@ -0,0 +1,445 @@ +{ + "task": "MusicalInstrumentsVideoCaptioning", + "data_source": "UCF-101", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0012", + "input": { + "video_file_list": [ + "v_PlayingDhol_g06_c06/frame_00000.jpg", + "v_PlayingDhol_g06_c06/frame_00008.jpg", + "v_PlayingDhol_g06_c06/frame_00016.jpg", + "v_PlayingDhol_g06_c06/frame_00024.jpg", + "v_PlayingDhol_g06_c06/frame_00032.jpg", + "v_PlayingDhol_g06_c06/frame_00040.jpg", + 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"video_file_list": [ + "v_PlayingGuitar_g06_c05/frame_00000.jpg", + "v_PlayingGuitar_g06_c05/frame_00008.jpg", + "v_PlayingGuitar_g06_c05/frame_00016.jpg", + "v_PlayingGuitar_g06_c05/frame_00024.jpg", + "v_PlayingGuitar_g06_c05/frame_00032.jpg", + "v_PlayingGuitar_g06_c05/frame_00040.jpg", + "v_PlayingGuitar_g06_c05/frame_00048.jpg", + "v_PlayingGuitar_g06_c05/frame_00056.jpg", + "v_PlayingGuitar_g06_c05/frame_00064.jpg", + "v_PlayingGuitar_g06_c05/frame_00072.jpg", + "v_PlayingGuitar_g06_c05/frame_00080.jpg", + "v_PlayingGuitar_g06_c05/frame_00088.jpg", + "v_PlayingGuitar_g06_c05/frame_00096.jpg", + "v_PlayingGuitar_g06_c05/frame_00104.jpg", + "v_PlayingGuitar_g06_c05/frame_00112.jpg", + "v_PlayingGuitar_g06_c05/frame_00120.jpg", + "v_PlayingGuitar_g06_c05/frame_00128.jpg", + "v_PlayingGuitar_g06_c05/frame_00136.jpg", + "v_PlayingGuitar_g06_c05/frame_00144.jpg", + "v_PlayingGuitar_g06_c05/frame_00152.jpg", + "v_PlayingGuitar_g06_c05/frame_00160.jpg", + 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"v_PlayingSitar_g03_c05/frame_00125.jpg", + "v_PlayingSitar_g03_c05/frame_00150.jpg", + "v_PlayingSitar_g03_c05/frame_00175.jpg", + "v_PlayingSitar_g03_c05/frame_00200.jpg", + "v_PlayingSitar_g03_c05/frame_00225.jpg", + "v_PlayingSitar_g03_c05/frame_00250.jpg", + "v_PlayingSitar_g03_c05/frame_00275.jpg", + "v_PlayingSitar_g03_c05/frame_00300.jpg", + "v_PlayingSitar_g03_c05/frame_00325.jpg", + "v_PlayingSitar_g03_c05/frame_00350.jpg", + "v_PlayingSitar_g03_c05/frame_00375.jpg", + "v_PlayingSitar_g03_c05/frame_00400.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a young man is seen playing the sitar while sitting on his bed. A bedroom setting with musical instruments visible in the background." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0152", + "input": { + "video_file_list": [ + "v_PlayingCello_g06_c01/frame_00000.jpg", + "v_PlayingCello_g06_c01/frame_00008.jpg", + "v_PlayingCello_g06_c01/frame_00016.jpg", + "v_PlayingCello_g06_c01/frame_00024.jpg", + "v_PlayingCello_g06_c01/frame_00032.jpg", + "v_PlayingCello_g06_c01/frame_00040.jpg", + "v_PlayingCello_g06_c01/frame_00048.jpg", + "v_PlayingCello_g06_c01/frame_00056.jpg", + "v_PlayingCello_g06_c01/frame_00064.jpg", + "v_PlayingCello_g06_c01/frame_00072.jpg", + "v_PlayingCello_g06_c01/frame_00080.jpg", + "v_PlayingCello_g06_c01/frame_00088.jpg", + "v_PlayingCello_g06_c01/frame_00096.jpg", + "v_PlayingCello_g06_c01/frame_00104.jpg", + "v_PlayingCello_g06_c01/frame_00112.jpg", + "v_PlayingCello_g06_c01/frame_00120.jpg", + "v_PlayingCello_g06_c01/frame_00128.jpg", + "v_PlayingCello_g06_c01/frame_00136.jpg", + "v_PlayingCello_g06_c01/frame_00144.jpg", + "v_PlayingCello_g06_c01/frame_00152.jpg", + "v_PlayingCello_g06_c01/frame_00160.jpg", + "v_PlayingCello_g06_c01/frame_00168.jpg", + "v_PlayingCello_g06_c01/frame_00176.jpg", + "v_PlayingCello_g06_c01/frame_00184.jpg", + "v_PlayingCello_g06_c01/frame_00192.jpg", + "v_PlayingCello_g06_c01/frame_00200.jpg", + "v_PlayingCello_g06_c01/frame_00208.jpg", + "v_PlayingCello_g06_c01/frame_00216.jpg", + "v_PlayingCello_g06_c01/frame_00224.jpg", + "v_PlayingCello_g06_c01/frame_00232.jpg", + "v_PlayingCello_g06_c01/frame_00240.jpg", + "v_PlayingCello_g06_c01/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a young man is playing the cello while sitting on a couch. The room is well-lit and has a cozy atmosphere." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0223", + "input": { + "video_file_list": [ + "v_PlayingTabla_g05_c01/frame_00000.jpg", + "v_PlayingTabla_g05_c01/frame_00008.jpg", + "v_PlayingTabla_g05_c01/frame_00016.jpg", + "v_PlayingTabla_g05_c01/frame_00024.jpg", + "v_PlayingTabla_g05_c01/frame_00032.jpg", + "v_PlayingTabla_g05_c01/frame_00040.jpg", + "v_PlayingTabla_g05_c01/frame_00048.jpg", + "v_PlayingTabla_g05_c01/frame_00056.jpg", + "v_PlayingTabla_g05_c01/frame_00064.jpg", + "v_PlayingTabla_g05_c01/frame_00072.jpg", + "v_PlayingTabla_g05_c01/frame_00080.jpg", + "v_PlayingTabla_g05_c01/frame_00088.jpg", + "v_PlayingTabla_g05_c01/frame_00096.jpg", + "v_PlayingTabla_g05_c01/frame_00104.jpg", + "v_PlayingTabla_g05_c01/frame_00112.jpg", + "v_PlayingTabla_g05_c01/frame_00120.jpg", + "v_PlayingTabla_g05_c01/frame_00128.jpg", + "v_PlayingTabla_g05_c01/frame_00136.jpg", + "v_PlayingTabla_g05_c01/frame_00144.jpg", + "v_PlayingTabla_g05_c01/frame_00152.jpg", + "v_PlayingTabla_g05_c01/frame_00160.jpg", + "v_PlayingTabla_g05_c01/frame_00168.jpg", + "v_PlayingTabla_g05_c01/frame_00176.jpg", + "v_PlayingTabla_g05_c01/frame_00184.jpg", + "v_PlayingTabla_g05_c01/frame_00192.jpg", + "v_PlayingTabla_g05_c01/frame_00200.jpg", + "v_PlayingTabla_g05_c01/frame_00208.jpg", + "v_PlayingTabla_g05_c01/frame_00216.jpg", + "v_PlayingTabla_g05_c01/frame_00224.jpg", + "v_PlayingTabla_g05_c01/frame_00232.jpg", + "v_PlayingTabla_g05_c01/frame_00240.jpg", + "v_PlayingTabla_g05_c01/frame_00248.jpg", + "v_PlayingTabla_g05_c01/frame_00256.jpg", + "v_PlayingTabla_g05_c01/frame_00264.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing tabla, one man accompanies the group of men who are singing and playing other instruments on stage." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0094", + "input": { + "video_file_list": [ + "v_PlayingDhol_g02_c04/frame_00000.jpg", + "v_PlayingDhol_g02_c04/frame_00008.jpg", + "v_PlayingDhol_g02_c04/frame_00016.jpg", + "v_PlayingDhol_g02_c04/frame_00024.jpg", + "v_PlayingDhol_g02_c04/frame_00032.jpg", + "v_PlayingDhol_g02_c04/frame_00040.jpg", + "v_PlayingDhol_g02_c04/frame_00048.jpg", + "v_PlayingDhol_g02_c04/frame_00056.jpg", + "v_PlayingDhol_g02_c04/frame_00064.jpg", + "v_PlayingDhol_g02_c04/frame_00072.jpg", + "v_PlayingDhol_g02_c04/frame_00080.jpg", + "v_PlayingDhol_g02_c04/frame_00088.jpg", + "v_PlayingDhol_g02_c04/frame_00096.jpg", + "v_PlayingDhol_g02_c04/frame_00104.jpg", + "v_PlayingDhol_g02_c04/frame_00112.jpg", + "v_PlayingDhol_g02_c04/frame_00120.jpg", + "v_PlayingDhol_g02_c04/frame_00128.jpg", + "v_PlayingDhol_g02_c04/frame_00136.jpg", + "v_PlayingDhol_g02_c04/frame_00144.jpg", + "v_PlayingDhol_g02_c04/frame_00152.jpg", + "v_PlayingDhol_g02_c04/frame_00160.jpg", + "v_PlayingDhol_g02_c04/frame_00168.jpg", + "v_PlayingDhol_g02_c04/frame_00176.jpg", + "v_PlayingDhol_g02_c04/frame_00184.jpg", + "v_PlayingDhol_g02_c04/frame_00192.jpg", + "v_PlayingDhol_g02_c04/frame_00200.jpg", + "v_PlayingDhol_g02_c04/frame_00208.jpg", + "v_PlayingDhol_g02_c04/frame_00216.jpg", + "v_PlayingDhol_g02_c04/frame_00224.jpg", + "v_PlayingDhol_g02_c04/frame_00232.jpg", + "v_PlayingDhol_g02_c04/frame_00240.jpg", + "v_PlayingDhol_g02_c04/frame_00248.jpg", + "v_PlayingDhol_g02_c04/frame_00256.jpg", + "v_PlayingDhol_g02_c04/frame_00264.jpg", + "v_PlayingDhol_g02_c04/frame_00272.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing dhol, a man moves rhythmically in a living room while drums are heard." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0127", + "input": { + "video_file_list": [ + "v_PlayingGuitar_g05_c02/frame_00000.jpg", + "v_PlayingGuitar_g05_c02/frame_00008.jpg", + "v_PlayingGuitar_g05_c02/frame_00016.jpg", + "v_PlayingGuitar_g05_c02/frame_00024.jpg", + "v_PlayingGuitar_g05_c02/frame_00032.jpg", + "v_PlayingGuitar_g05_c02/frame_00040.jpg", + "v_PlayingGuitar_g05_c02/frame_00048.jpg", + "v_PlayingGuitar_g05_c02/frame_00056.jpg", + "v_PlayingGuitar_g05_c02/frame_00064.jpg", + "v_PlayingGuitar_g05_c02/frame_00072.jpg", + "v_PlayingGuitar_g05_c02/frame_00080.jpg", + "v_PlayingGuitar_g05_c02/frame_00088.jpg", + "v_PlayingGuitar_g05_c02/frame_00096.jpg", + "v_PlayingGuitar_g05_c02/frame_00104.jpg", + "v_PlayingGuitar_g05_c02/frame_00112.jpg", + "v_PlayingGuitar_g05_c02/frame_00120.jpg", + "v_PlayingGuitar_g05_c02/frame_00128.jpg", + "v_PlayingGuitar_g05_c02/frame_00136.jpg", + "v_PlayingGuitar_g05_c02/frame_00144.jpg", + "v_PlayingGuitar_g05_c02/frame_00152.jpg", + "v_PlayingGuitar_g05_c02/frame_00160.jpg", + "v_PlayingGuitar_g05_c02/frame_00168.jpg", + "v_PlayingGuitar_g05_c02/frame_00176.jpg", + "v_PlayingGuitar_g05_c02/frame_00184.jpg", + "v_PlayingGuitar_g05_c02/frame_00192.jpg", + "v_PlayingGuitar_g05_c02/frame_00200.jpg", + "v_PlayingGuitar_g05_c02/frame_00208.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing guitar, the man performs on stage while singing into a microphone." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0019", + "input": { + "video_file_list": [ + "v_PlayingGuitar_g03_c03/frame_00000.jpg", + "v_PlayingGuitar_g03_c03/frame_00008.jpg", + "v_PlayingGuitar_g03_c03/frame_00016.jpg", + "v_PlayingGuitar_g03_c03/frame_00024.jpg", + "v_PlayingGuitar_g03_c03/frame_00032.jpg", + "v_PlayingGuitar_g03_c03/frame_00040.jpg", + "v_PlayingGuitar_g03_c03/frame_00048.jpg", + "v_PlayingGuitar_g03_c03/frame_00056.jpg", + "v_PlayingGuitar_g03_c03/frame_00064.jpg", + "v_PlayingGuitar_g03_c03/frame_00072.jpg", + "v_PlayingGuitar_g03_c03/frame_00080.jpg", + "v_PlayingGuitar_g03_c03/frame_00088.jpg", + "v_PlayingGuitar_g03_c03/frame_00096.jpg", + "v_PlayingGuitar_g03_c03/frame_00104.jpg", + "v_PlayingGuitar_g03_c03/frame_00112.jpg", + "v_PlayingGuitar_g03_c03/frame_00120.jpg", + "v_PlayingGuitar_g03_c03/frame_00128.jpg", + "v_PlayingGuitar_g03_c03/frame_00136.jpg", + "v_PlayingGuitar_g03_c03/frame_00144.jpg", + "v_PlayingGuitar_g03_c03/frame_00152.jpg", + "v_PlayingGuitar_g03_c03/frame_00160.jpg", + "v_PlayingGuitar_g03_c03/frame_00168.jpg", + "v_PlayingGuitar_g03_c03/frame_00176.jpg", + "v_PlayingGuitar_g03_c03/frame_00184.jpg", + "v_PlayingGuitar_g03_c03/frame_00192.jpg", + "v_PlayingGuitar_g03_c03/frame_00200.jpg", + "v_PlayingGuitar_g03_c03/frame_00208.jpg", + "v_PlayingGuitar_g03_c03/frame_00216.jpg", + "v_PlayingGuitar_g03_c03/frame_00224.jpg", + "v_PlayingGuitar_g03_c03/frame_00232.jpg", + "v_PlayingGuitar_g03_c03/frame_00240.jpg", + "v_PlayingGuitar_g03_c03/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing guitar, a woman strums the strings with her right hand and moves her left hand up and down the neck to change chords, while occasionally glancing at the camera." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0079", + "input": { + "video_file_list": [ + "v_PlayingGuitar_g05_c01/frame_00000.jpg", + "v_PlayingGuitar_g05_c01/frame_00008.jpg", + "v_PlayingGuitar_g05_c01/frame_00016.jpg", + "v_PlayingGuitar_g05_c01/frame_00024.jpg", + "v_PlayingGuitar_g05_c01/frame_00032.jpg", + "v_PlayingGuitar_g05_c01/frame_00040.jpg", + "v_PlayingGuitar_g05_c01/frame_00048.jpg", + "v_PlayingGuitar_g05_c01/frame_00056.jpg", + "v_PlayingGuitar_g05_c01/frame_00064.jpg", + "v_PlayingGuitar_g05_c01/frame_00072.jpg", + "v_PlayingGuitar_g05_c01/frame_00080.jpg", + "v_PlayingGuitar_g05_c01/frame_00088.jpg", + "v_PlayingGuitar_g05_c01/frame_00096.jpg", + "v_PlayingGuitar_g05_c01/frame_00104.jpg", + "v_PlayingGuitar_g05_c01/frame_00112.jpg", + "v_PlayingGuitar_g05_c01/frame_00120.jpg", + "v_PlayingGuitar_g05_c01/frame_00128.jpg", + "v_PlayingGuitar_g05_c01/frame_00136.jpg", + "v_PlayingGuitar_g05_c01/frame_00144.jpg", + "v_PlayingGuitar_g05_c01/frame_00152.jpg", + "v_PlayingGuitar_g05_c01/frame_00160.jpg", + "v_PlayingGuitar_g05_c01/frame_00168.jpg", + "v_PlayingGuitar_g05_c01/frame_00176.jpg", + "v_PlayingGuitar_g05_c01/frame_00184.jpg", + "v_PlayingGuitar_g05_c01/frame_00192.jpg", + "v_PlayingGuitar_g05_c01/frame_00200.jpg", + "v_PlayingGuitar_g05_c01/frame_00208.jpg", + "v_PlayingGuitar_g05_c01/frame_00216.jpg", + "v_PlayingGuitar_g05_c01/frame_00224.jpg", + "v_PlayingGuitar_g05_c01/frame_00232.jpg", + "v_PlayingGuitar_g05_c01/frame_00240.jpg", + "v_PlayingGuitar_g05_c01/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Playing guitar, the man strums with his right hand and taps the strings with his left hand." + } + }, + { + "id": "vc_closeset_musicalinstrumentsvideocaptioning_0206", + "input": { + "video_file_list": [ + "v_PlayingTabla_g01_c03/frame_00000.jpg", + "v_PlayingTabla_g01_c03/frame_00008.jpg", + "v_PlayingTabla_g01_c03/frame_00016.jpg", + "v_PlayingTabla_g01_c03/frame_00024.jpg", + "v_PlayingTabla_g01_c03/frame_00032.jpg", + "v_PlayingTabla_g01_c03/frame_00040.jpg", + "v_PlayingTabla_g01_c03/frame_00048.jpg", + "v_PlayingTabla_g01_c03/frame_00056.jpg", + "v_PlayingTabla_g01_c03/frame_00064.jpg", + "v_PlayingTabla_g01_c03/frame_00072.jpg", + "v_PlayingTabla_g01_c03/frame_00080.jpg", + "v_PlayingTabla_g01_c03/frame_00088.jpg", + "v_PlayingTabla_g01_c03/frame_00096.jpg", + "v_PlayingTabla_g01_c03/frame_00104.jpg", + "v_PlayingTabla_g01_c03/frame_00112.jpg", + "v_PlayingTabla_g01_c03/frame_00120.jpg", + "v_PlayingTabla_g01_c03/frame_00128.jpg", + "v_PlayingTabla_g01_c03/frame_00136.jpg", + "v_PlayingTabla_g01_c03/frame_00144.jpg", + "v_PlayingTabla_g01_c03/frame_00152.jpg", + "v_PlayingTabla_g01_c03/frame_00160.jpg", + "v_PlayingTabla_g01_c03/frame_00168.jpg", + "v_PlayingTabla_g01_c03/frame_00176.jpg", + "v_PlayingTabla_g01_c03/frame_00184.jpg", + "v_PlayingTabla_g01_c03/frame_00192.jpg", + "v_PlayingTabla_g01_c03/frame_00200.jpg", + "v_PlayingTabla_g01_c03/frame_00208.jpg", + "v_PlayingTabla_g01_c03/frame_00216.jpg", + "v_PlayingTabla_g01_c03/frame_00224.jpg", + "v_PlayingTabla_g01_c03/frame_00232.jpg", + "v_PlayingTabla_g01_c03/frame_00240.jpg", + "v_PlayingTabla_g01_c03/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "PlayingTabla: The musician skillfully drums on the tabla, creating a rhythmic beat that fills the air, accompanied by other drummers behind him." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/NaturalDisasterVideoRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/NaturalDisasterVideoRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a96d6aad82f904effad9ae5172434a32a11fc02d --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/NaturalDisasterVideoRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "NaturalDisasterVideoRecognition", + "data_source": "wildqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_naturaldisastervideorecognition_0029", + "input": { + "video_file_list": [ + "567/0.jpg", + "567/1.jpg", + "567/2.jpg", + "567/3.jpg", + "567/4.jpg", + "567/5.jpg", + "567/6.jpg", + "567/7.jpg", + "567/8.jpg", + "567/9.jpg", + "567/10.jpg", + "567/11.jpg", + "567/12.jpg", + "567/13.jpg", + "567/14.jpg", + "567/15.jpg", + "567/16.jpg", + "567/17.jpg", + "567/18.jpg", + "567/19.jpg", + "567/20.jpg", + "567/21.jpg", + "567/22.jpg", + "567/23.jpg", + "567/24.jpg", + "567/25.jpg", + "567/26.jpg", + "567/27.jpg", + "567/28.jpg", + "567/29.jpg", + "567/30.jpg", + "567/31.jpg", + "567/32.jpg", + "567/33.jpg", + "567/34.jpg", + "567/35.jpg", + "567/36.jpg", + "567/37.jpg", + "567/38.jpg", + "567/39.jpg", + "567/40.jpg", + "567/41.jpg", + "567/42.jpg", + "567/43.jpg", + "567/44.jpg", + "567/45.jpg", + "567/46.jpg", + "567/47.jpg", + "567/48.jpg", + "567/49.jpg", + "567/50.jpg", + "567/51.jpg", + "567/52.jpg", + "567/53.jpg", + "567/54.jpg", + "567/55.jpg", + "567/56.jpg", + "567/57.jpg", + "567/58.jpg", + "567/59.jpg", + "567/60.jpg", + "567/61.jpg", + "567/62.jpg", + "567/63.jpg" + ], + "prompt": "Are there any funnel clouds or tornadoes?" + }, + "output": { + "text": "No" + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0064", + "input": { + "video_file_list": [ + "577/0.jpg", + "577/1.jpg", + "577/2.jpg", + "577/3.jpg", + "577/4.jpg", + "577/5.jpg", + "577/6.jpg", + "577/7.jpg", + "577/8.jpg", + "577/9.jpg", + "577/10.jpg", + "577/11.jpg", + "577/12.jpg", + "577/13.jpg", + "577/14.jpg", + "577/15.jpg", + "577/16.jpg", + "577/17.jpg", + "577/18.jpg", + "577/19.jpg", + "577/20.jpg", + "577/21.jpg", + "577/22.jpg", + "577/23.jpg", + "577/24.jpg", + "577/25.jpg", + "577/26.jpg", + "577/27.jpg", + "577/28.jpg", + "577/29.jpg", + "577/30.jpg", + "577/31.jpg", + "577/32.jpg", + "577/33.jpg", + "577/34.jpg", + "577/35.jpg", + "577/36.jpg", + "577/37.jpg", + "577/38.jpg", + "577/39.jpg", + "577/40.jpg", + "577/41.jpg", + "577/42.jpg", + "577/43.jpg", + "577/44.jpg", + "577/45.jpg", + "577/46.jpg", + "577/47.jpg", + "577/48.jpg", + "577/49.jpg", + "577/50.jpg", + "577/51.jpg", + "577/52.jpg", + "577/53.jpg", + "577/54.jpg", + "577/55.jpg", + "577/56.jpg", + "577/57.jpg", + "577/58.jpg", + "577/59.jpg", + "577/60.jpg", + "577/61.jpg", + "577/62.jpg", + "577/63.jpg" + ], + "prompt": "What were the affects of the weather on the cities?" + }, + "output": { + "text": "Streets flooded, cars swept away, various types of property damage." + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0007", + "input": { + "video_file_list": [ + "532/0.jpg", + "532/1.jpg", + "532/2.jpg", + "532/3.jpg", + "532/4.jpg", + "532/5.jpg", + "532/6.jpg", + "532/7.jpg", + "532/8.jpg", + "532/9.jpg", + "532/10.jpg", + "532/11.jpg", + "532/12.jpg", + "532/13.jpg", + "532/14.jpg", + "532/15.jpg", + "532/16.jpg", + "532/17.jpg", + "532/18.jpg", + "532/19.jpg", + "532/20.jpg", + "532/21.jpg", + "532/22.jpg", + "532/23.jpg", + "532/24.jpg", + "532/25.jpg", + "532/26.jpg", + "532/27.jpg", + "532/28.jpg", + "532/29.jpg", + "532/30.jpg", + "532/31.jpg", + "532/32.jpg", + "532/33.jpg", + "532/34.jpg", + "532/35.jpg", + "532/36.jpg", + "532/37.jpg", + "532/38.jpg", + "532/39.jpg", + "532/40.jpg", + "532/41.jpg", + "532/42.jpg", + "532/43.jpg", + "532/44.jpg", + "532/45.jpg", + "532/46.jpg", + "532/47.jpg", + "532/48.jpg", + "532/49.jpg", + "532/50.jpg", + "532/51.jpg", + "532/52.jpg", + "532/53.jpg", + "532/54.jpg", + "532/55.jpg", + "532/56.jpg", + "532/57.jpg", + "532/58.jpg", + "532/59.jpg", + "532/60.jpg", + "532/61.jpg", + "532/62.jpg", + "532/63.jpg" + ], + "prompt": "What type of weather was occurring?" + }, + "output": { + "text": "Tornadoes and rain" + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0019", + "input": { + "video_file_list": [ + "566/0.jpg", + "566/1.jpg", + "566/2.jpg", + "566/3.jpg", + "566/4.jpg", + "566/5.jpg", + "566/6.jpg", + "566/7.jpg", + "566/8.jpg", + "566/9.jpg", + "566/10.jpg", + "566/11.jpg", + "566/12.jpg", + "566/13.jpg", + "566/14.jpg", + "566/15.jpg", + "566/16.jpg", + "566/17.jpg", + "566/18.jpg", + "566/19.jpg", + "566/20.jpg", + "566/21.jpg", + "566/22.jpg", + "566/23.jpg", + "566/24.jpg", + "566/25.jpg", + "566/26.jpg", + "566/27.jpg", + "566/28.jpg", + "566/29.jpg", + "566/30.jpg", + "566/31.jpg", + "566/32.jpg", + "566/33.jpg", + "566/34.jpg", + "566/35.jpg", + "566/36.jpg", + "566/37.jpg", + "566/38.jpg", + "566/39.jpg", + "566/40.jpg", + "566/41.jpg", + "566/42.jpg", + "566/43.jpg", + "566/44.jpg", + "566/45.jpg", + "566/46.jpg", + "566/47.jpg", + "566/48.jpg", + "566/49.jpg", + "566/50.jpg", + "566/51.jpg", + "566/52.jpg", + "566/53.jpg", + "566/54.jpg", + "566/55.jpg", + "566/56.jpg", + "566/57.jpg", + "566/58.jpg", + "566/59.jpg", + "566/60.jpg", + "566/61.jpg", + "566/62.jpg", + "566/63.jpg" + ], + "prompt": "Is there a city near the ocean?" + }, + "output": { + "text": "Yes" + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0032", + "input": { + "video_file_list": [ + "565/0.jpg", + "565/1.jpg", + "565/2.jpg", + "565/3.jpg", + "565/4.jpg", + "565/5.jpg", + "565/6.jpg", + "565/7.jpg", + "565/8.jpg", + "565/9.jpg", + "565/10.jpg", + "565/11.jpg", + "565/12.jpg", + "565/13.jpg", + "565/14.jpg", + "565/15.jpg", + "565/16.jpg", + "565/17.jpg", + "565/18.jpg", + "565/19.jpg", + "565/20.jpg", + "565/21.jpg", + "565/22.jpg", + "565/23.jpg", + "565/24.jpg", + "565/25.jpg", + "565/26.jpg", + "565/27.jpg", + "565/28.jpg", + "565/29.jpg", + "565/30.jpg", + "565/31.jpg", + "565/32.jpg", + "565/33.jpg", + "565/34.jpg", + "565/35.jpg", + "565/36.jpg", + "565/37.jpg", + "565/38.jpg", + "565/39.jpg", + "565/40.jpg", + "565/41.jpg", + "565/42.jpg", + "565/43.jpg", + "565/44.jpg", + "565/45.jpg", + "565/46.jpg", + "565/47.jpg", + "565/48.jpg", + "565/49.jpg", + "565/50.jpg", + "565/51.jpg", + "565/52.jpg", + "565/53.jpg", + "565/54.jpg", + "565/55.jpg", + "565/56.jpg", + "565/57.jpg", + "565/58.jpg", + "565/59.jpg", + "565/60.jpg", + "565/61.jpg", + "565/62.jpg", + "565/63.jpg" + ], + "prompt": "What type of storm is happening?" + }, + "output": { + "text": "A thunder storm" + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0023", + "input": { + "video_file_list": [ + "608/0.jpg", + "608/1.jpg", + "608/2.jpg", + "608/3.jpg", + "608/4.jpg", + "608/5.jpg", + "608/6.jpg", + "608/7.jpg", + "608/8.jpg", + "608/9.jpg", + "608/10.jpg", + "608/11.jpg", + "608/12.jpg", + "608/13.jpg", + "608/14.jpg", + "608/15.jpg", + "608/16.jpg", + "608/17.jpg", + "608/18.jpg", + "608/19.jpg", + "608/20.jpg", + "608/21.jpg", + "608/22.jpg", + "608/23.jpg", + "608/24.jpg", + "608/25.jpg", + "608/26.jpg", + "608/27.jpg", + "608/28.jpg", + "608/29.jpg", + "608/30.jpg", + "608/31.jpg", + "608/32.jpg", + "608/33.jpg", + "608/34.jpg", + "608/35.jpg", + "608/36.jpg", + "608/37.jpg", + "608/38.jpg", + "608/39.jpg", + "608/40.jpg", + "608/41.jpg", + "608/42.jpg", + "608/43.jpg", + "608/44.jpg", + "608/45.jpg", + "608/46.jpg", + "608/47.jpg", + "608/48.jpg", + "608/49.jpg", + "608/50.jpg", + "608/51.jpg", + "608/52.jpg", + "608/53.jpg", + "608/54.jpg", + "608/55.jpg", + "608/56.jpg", + "608/57.jpg", + "608/58.jpg", + "608/59.jpg", + "608/60.jpg", + "608/61.jpg", + "608/62.jpg", + "608/63.jpg" + ], + "prompt": "Where are the fires taking place?" + }, + "output": { + "text": "nearby cities and highways." + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0060", + "input": { + "video_file_list": [ + "628/0.jpg", + "628/1.jpg", + "628/2.jpg", + "628/3.jpg", + "628/4.jpg", + "628/5.jpg", + "628/6.jpg", + "628/7.jpg", + "628/8.jpg", + "628/9.jpg", + "628/10.jpg", + "628/11.jpg", + "628/12.jpg", + "628/13.jpg", + "628/14.jpg", + "628/15.jpg", + "628/16.jpg", + "628/17.jpg", + "628/18.jpg", + "628/19.jpg", + "628/20.jpg", + "628/21.jpg", + "628/22.jpg", + "628/23.jpg", + "628/24.jpg", + "628/25.jpg", + "628/26.jpg", + "628/27.jpg", + "628/28.jpg", + "628/29.jpg", + "628/30.jpg", + "628/31.jpg", + "628/32.jpg", + "628/33.jpg", + "628/34.jpg", + "628/35.jpg", + "628/36.jpg", + "628/37.jpg", + "628/38.jpg", + "628/39.jpg", + "628/40.jpg", + "628/41.jpg", + "628/42.jpg", + "628/43.jpg", + "628/44.jpg", + "628/45.jpg", + "628/46.jpg", + "628/47.jpg", + "628/48.jpg", + "628/49.jpg", + "628/50.jpg", + "628/51.jpg", + "628/52.jpg", + "628/53.jpg", + "628/54.jpg", + "628/55.jpg", + "628/56.jpg", + "628/57.jpg", + "628/58.jpg", + "628/59.jpg", + "628/60.jpg", + "628/61.jpg", + "628/62.jpg", + "628/63.jpg" + ], + "prompt": "Do the clouds change shape?" + }, + "output": { + "text": "Yes, the clouds change shape." + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0016", + "input": { + "video_file_list": [ + "624/0.jpg", + "624/1.jpg", + "624/2.jpg", + "624/3.jpg", + "624/4.jpg", + "624/5.jpg", + "624/6.jpg", + "624/7.jpg", + "624/8.jpg", + "624/9.jpg", + "624/10.jpg", + "624/11.jpg", + "624/12.jpg", + "624/13.jpg", + "624/14.jpg", + "624/15.jpg", + "624/16.jpg", + "624/17.jpg", + "624/18.jpg", + "624/19.jpg", + "624/20.jpg", + "624/21.jpg", + "624/22.jpg", + "624/23.jpg", + "624/24.jpg", + "624/25.jpg", + "624/26.jpg", + "624/27.jpg", + "624/28.jpg", + "624/29.jpg", + "624/30.jpg", + "624/31.jpg", + "624/32.jpg", + "624/33.jpg", + "624/34.jpg", + "624/35.jpg", + "624/36.jpg", + "624/37.jpg", + "624/38.jpg", + "624/39.jpg", + "624/40.jpg", + "624/41.jpg", + "624/42.jpg", + "624/43.jpg", + "624/44.jpg", + "624/45.jpg", + "624/46.jpg", + "624/47.jpg", + "624/48.jpg", + "624/49.jpg", + "624/50.jpg", + "624/51.jpg", + "624/52.jpg", + "624/53.jpg", + "624/54.jpg", + "624/55.jpg", + "624/56.jpg", + "624/57.jpg", + "624/58.jpg", + "624/59.jpg", + "624/60.jpg", + "624/61.jpg", + "624/62.jpg", + "624/63.jpg" + ], + "prompt": "Is the precipitation causing flooding?" + }, + "output": { + "text": "Yes." + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0047", + "input": { + "video_file_list": [ + "601/0.jpg", + "601/1.jpg", + "601/2.jpg", + "601/3.jpg", + "601/4.jpg", + "601/5.jpg", + "601/6.jpg", + "601/7.jpg", + "601/8.jpg", + "601/9.jpg", + "601/10.jpg", + "601/11.jpg", + "601/12.jpg", + "601/13.jpg", + "601/14.jpg", + "601/15.jpg", + "601/16.jpg", + "601/17.jpg", + "601/18.jpg", + "601/19.jpg", + "601/20.jpg", + "601/21.jpg", + "601/22.jpg", + "601/23.jpg", + "601/24.jpg", + "601/25.jpg", + "601/26.jpg", + "601/27.jpg", + "601/28.jpg", + "601/29.jpg", + "601/30.jpg", + "601/31.jpg", + "601/32.jpg", + "601/33.jpg", + "601/34.jpg", + "601/35.jpg", + "601/36.jpg", + "601/37.jpg", + "601/38.jpg", + "601/39.jpg", + "601/40.jpg", + "601/41.jpg", + "601/42.jpg", + "601/43.jpg", + "601/44.jpg", + "601/45.jpg", + "601/46.jpg", + "601/47.jpg", + "601/48.jpg", + "601/49.jpg", + "601/50.jpg", + "601/51.jpg", + "601/52.jpg", + "601/53.jpg", + "601/54.jpg", + "601/55.jpg", + "601/56.jpg", + "601/57.jpg", + "601/58.jpg", + "601/59.jpg", + "601/60.jpg", + "601/61.jpg", + "601/62.jpg", + "601/63.jpg" + ], + "prompt": "Where is the smoke coming from?" + }, + "output": { + "text": "Fire." + } + }, + { + "id": "vc_closeset_naturaldisastervideorecognition_0073", + "input": { + "video_file_list": [ + "648/0.jpg", + "648/1.jpg", + "648/2.jpg", + "648/3.jpg", + "648/4.jpg", + "648/5.jpg", + "648/6.jpg", + "648/7.jpg", + "648/8.jpg", + "648/9.jpg", + "648/10.jpg", + "648/11.jpg", + "648/12.jpg", + "648/13.jpg", + "648/14.jpg", + "648/15.jpg", + "648/16.jpg", + "648/17.jpg", + "648/18.jpg", + "648/19.jpg", + "648/20.jpg", + "648/21.jpg", + "648/22.jpg", + "648/23.jpg", + "648/24.jpg", + "648/25.jpg", + "648/26.jpg", + "648/27.jpg", + "648/28.jpg", + "648/29.jpg", + "648/30.jpg", + "648/31.jpg", + "648/32.jpg", + "648/33.jpg", + "648/34.jpg", + "648/35.jpg", + "648/36.jpg", + "648/37.jpg", + "648/38.jpg", + "648/39.jpg", + "648/40.jpg", + "648/41.jpg", + "648/42.jpg", + "648/43.jpg", + "648/44.jpg", + "648/45.jpg", + "648/46.jpg", + "648/47.jpg", + "648/48.jpg", + "648/49.jpg", + "648/50.jpg", + "648/51.jpg", + "648/52.jpg", + "648/53.jpg", + "648/54.jpg", + "648/55.jpg", + "648/56.jpg", + "648/57.jpg", + "648/58.jpg", + "648/59.jpg", + "648/60.jpg", + "648/61.jpg", + "648/62.jpg", + "648/63.jpg" + ], + "prompt": "Where is the tornado?" + }, + "output": { + "text": "In a field." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ObjectColorVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ObjectColorVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..06297a7bdc9acb0d7cdfc9aedf5b53dec6eedf2f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ObjectColorVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ObjectColorVideoQuestionAnswering", + "data_source": "activitynetqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_objectcolorvideoquestionanswering_0183", + "input": { + "video_file_list": [ + "v_kBTqTp0SKq8/0.jpg", + "v_kBTqTp0SKq8/1.jpg", + "v_kBTqTp0SKq8/2.jpg", + "v_kBTqTp0SKq8/3.jpg", + "v_kBTqTp0SKq8/4.jpg", + "v_kBTqTp0SKq8/5.jpg", + "v_kBTqTp0SKq8/6.jpg", + "v_kBTqTp0SKq8/7.jpg", + "v_kBTqTp0SKq8/8.jpg", + "v_kBTqTp0SKq8/9.jpg", + "v_kBTqTp0SKq8/10.jpg", + "v_kBTqTp0SKq8/11.jpg", + "v_kBTqTp0SKq8/12.jpg", + "v_kBTqTp0SKq8/13.jpg", + "v_kBTqTp0SKq8/14.jpg", + "v_kBTqTp0SKq8/15.jpg", + "v_kBTqTp0SKq8/16.jpg", + "v_kBTqTp0SKq8/17.jpg", + "v_kBTqTp0SKq8/18.jpg", + "v_kBTqTp0SKq8/19.jpg", + "v_kBTqTp0SKq8/20.jpg", + "v_kBTqTp0SKq8/21.jpg", + "v_kBTqTp0SKq8/22.jpg", + "v_kBTqTp0SKq8/23.jpg", + "v_kBTqTp0SKq8/24.jpg", + "v_kBTqTp0SKq8/25.jpg", + "v_kBTqTp0SKq8/26.jpg", + "v_kBTqTp0SKq8/27.jpg", + "v_kBTqTp0SKq8/28.jpg", + "v_kBTqTp0SKq8/29.jpg", + "v_kBTqTp0SKq8/30.jpg", + "v_kBTqTp0SKq8/31.jpg", + "v_kBTqTp0SKq8/32.jpg", + "v_kBTqTp0SKq8/33.jpg", + "v_kBTqTp0SKq8/34.jpg", + "v_kBTqTp0SKq8/35.jpg", + "v_kBTqTp0SKq8/36.jpg", + "v_kBTqTp0SKq8/37.jpg", + "v_kBTqTp0SKq8/38.jpg", + "v_kBTqTp0SKq8/39.jpg", + "v_kBTqTp0SKq8/40.jpg", + "v_kBTqTp0SKq8/41.jpg", + "v_kBTqTp0SKq8/42.jpg", + "v_kBTqTp0SKq8/43.jpg", + "v_kBTqTp0SKq8/44.jpg", + "v_kBTqTp0SKq8/45.jpg", + "v_kBTqTp0SKq8/46.jpg", + "v_kBTqTp0SKq8/47.jpg", + "v_kBTqTp0SKq8/48.jpg", + "v_kBTqTp0SKq8/49.jpg", + "v_kBTqTp0SKq8/50.jpg", + 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"video_14957/1.jpg", + "video_14957/2.jpg", + "video_14957/3.jpg", + "video_14957/4.jpg", + "video_14957/5.jpg", + "video_14957/6.jpg", + "video_14957/7.jpg", + "video_14957/8.jpg", + "video_14957/9.jpg", + "video_14957/10.jpg", + "video_14957/11.jpg", + "video_14957/12.jpg", + "video_14957/13.jpg", + "video_14957/14.jpg", + "video_14957/15.jpg", + "video_14957/16.jpg", + "video_14957/17.jpg", + "video_14957/18.jpg", + "video_14957/19.jpg", + "video_14957/20.jpg", + "video_14957/21.jpg", + "video_14957/22.jpg", + "video_14957/23.jpg", + "video_14957/24.jpg", + "video_14957/25.jpg", + "video_14957/26.jpg", + "video_14957/27.jpg", + "video_14957/28.jpg", + "video_14957/29.jpg", + "video_14957/30.jpg", + "video_14957/31.jpg", + "video_14957/32.jpg", + "video_14957/33.jpg", + "video_14957/34.jpg", + "video_14957/35.jpg", + "video_14957/36.jpg", + "video_14957/37.jpg", + "video_14957/38.jpg", + "video_14957/39.jpg", + "video_14957/40.jpg", + "video_14957/41.jpg", + "video_14957/42.jpg", + "video_14957/43.jpg", + "video_14957/44.jpg", + "video_14957/45.jpg", + "video_14957/46.jpg", + "video_14957/47.jpg", + "video_14957/48.jpg", + "video_14957/49.jpg", + "video_14957/50.jpg", + "video_14957/51.jpg", + "video_14957/52.jpg", + "video_14957/53.jpg", + "video_14957/54.jpg", + "video_14957/55.jpg", + "video_14957/56.jpg", + "video_14957/57.jpg", + "video_14957/58.jpg", + "video_14957/59.jpg", + "video_14957/60.jpg", + "video_14957/61.jpg", + "video_14957/62.jpg", + "video_14957/63.jpg" + ], + "prompt": "What direction is the brown sphere moving in within the video?" + }, + "output": { + "text": "The object is stationary." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0040", + "input": { + "video_file_list": [ + "video_14952/0.jpg", + "video_14952/1.jpg", + "video_14952/2.jpg", + "video_14952/3.jpg", + "video_14952/4.jpg", + "video_14952/5.jpg", + "video_14952/6.jpg", + "video_14952/7.jpg", + "video_14952/8.jpg", + "video_14952/9.jpg", + 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video?" + }, + "output": { + "text": "Down and to the right." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0050", + "input": { + "video_file_list": [ + "video_10094/0.jpg", + "video_10094/1.jpg", + "video_10094/2.jpg", + "video_10094/3.jpg", + "video_10094/4.jpg", + "video_10094/5.jpg", + "video_10094/6.jpg", + "video_10094/7.jpg", + "video_10094/8.jpg", + "video_10094/9.jpg", + "video_10094/10.jpg", + "video_10094/11.jpg", + "video_10094/12.jpg", + "video_10094/13.jpg", + "video_10094/14.jpg", + "video_10094/15.jpg", + "video_10094/16.jpg", + "video_10094/17.jpg", + "video_10094/18.jpg", + "video_10094/19.jpg", + "video_10094/20.jpg", + "video_10094/21.jpg", + "video_10094/22.jpg", + "video_10094/23.jpg", + "video_10094/24.jpg", + "video_10094/25.jpg", + "video_10094/26.jpg", + "video_10094/27.jpg", + "video_10094/28.jpg", + "video_10094/29.jpg", + "video_10094/30.jpg", + "video_10094/31.jpg", + "video_10094/32.jpg", + "video_10094/33.jpg", + "video_10094/34.jpg", + "video_10094/35.jpg", + "video_10094/36.jpg", + "video_10094/37.jpg", + "video_10094/38.jpg", + "video_10094/39.jpg", + "video_10094/40.jpg", + "video_10094/41.jpg", + "video_10094/42.jpg", + "video_10094/43.jpg", + "video_10094/44.jpg", + "video_10094/45.jpg", + "video_10094/46.jpg", + "video_10094/47.jpg", + "video_10094/48.jpg", + "video_10094/49.jpg", + "video_10094/50.jpg", + "video_10094/51.jpg", + "video_10094/52.jpg", + "video_10094/53.jpg", + "video_10094/54.jpg", + "video_10094/55.jpg", + "video_10094/56.jpg", + "video_10094/57.jpg", + "video_10094/58.jpg", + "video_10094/59.jpg", + "video_10094/60.jpg", + "video_10094/61.jpg", + "video_10094/62.jpg", + "video_10094/63.jpg" + ], + "prompt": "What direction is the red cube moving in within the video?" + }, + "output": { + "text": "Down and to the left." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0067", + "input": { + "video_file_list": [ + "video_12838/0.jpg", + "video_12838/1.jpg", + "video_12838/2.jpg", + "video_12838/3.jpg", + "video_12838/4.jpg", + "video_12838/5.jpg", + "video_12838/6.jpg", + "video_12838/7.jpg", + "video_12838/8.jpg", + "video_12838/9.jpg", + "video_12838/10.jpg", + "video_12838/11.jpg", + "video_12838/12.jpg", + "video_12838/13.jpg", + "video_12838/14.jpg", + "video_12838/15.jpg", + "video_12838/16.jpg", + "video_12838/17.jpg", + "video_12838/18.jpg", + "video_12838/19.jpg", + "video_12838/20.jpg", + "video_12838/21.jpg", + "video_12838/22.jpg", + "video_12838/23.jpg", + "video_12838/24.jpg", + "video_12838/25.jpg", + "video_12838/26.jpg", + "video_12838/27.jpg", + "video_12838/28.jpg", + "video_12838/29.jpg", + "video_12838/30.jpg", + "video_12838/31.jpg", + "video_12838/32.jpg", + "video_12838/33.jpg", + "video_12838/34.jpg", + "video_12838/35.jpg", + "video_12838/36.jpg", + "video_12838/37.jpg", + "video_12838/38.jpg", + "video_12838/39.jpg", + "video_12838/40.jpg", + "video_12838/41.jpg", + "video_12838/42.jpg", + 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"video_13355/10.jpg", + "video_13355/11.jpg", + "video_13355/12.jpg", + "video_13355/13.jpg", + "video_13355/14.jpg", + "video_13355/15.jpg", + "video_13355/16.jpg", + "video_13355/17.jpg", + "video_13355/18.jpg", + "video_13355/19.jpg", + "video_13355/20.jpg", + "video_13355/21.jpg", + "video_13355/22.jpg", + "video_13355/23.jpg", + "video_13355/24.jpg", + "video_13355/25.jpg", + "video_13355/26.jpg", + "video_13355/27.jpg", + "video_13355/28.jpg", + "video_13355/29.jpg", + "video_13355/30.jpg", + "video_13355/31.jpg", + "video_13355/32.jpg", + "video_13355/33.jpg", + "video_13355/34.jpg", + "video_13355/35.jpg", + "video_13355/36.jpg", + "video_13355/37.jpg", + "video_13355/38.jpg", + "video_13355/39.jpg", + "video_13355/40.jpg", + "video_13355/41.jpg", + "video_13355/42.jpg", + "video_13355/43.jpg", + "video_13355/44.jpg", + "video_13355/45.jpg", + "video_13355/46.jpg", + "video_13355/47.jpg", + "video_13355/48.jpg", + "video_13355/49.jpg", + "video_13355/50.jpg", + "video_13355/51.jpg", + "video_13355/52.jpg", + "video_13355/53.jpg", + "video_13355/54.jpg", + "video_13355/55.jpg", + "video_13355/56.jpg", + "video_13355/57.jpg", + "video_13355/58.jpg", + "video_13355/59.jpg", + "video_13355/60.jpg", + "video_13355/61.jpg", + "video_13355/62.jpg", + "video_13355/63.jpg" + ], + "prompt": "In which direction does the yellow sphere move in the video?" + }, + "output": { + "text": "Up and to the right." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0038", + "input": { + "video_file_list": [ + "video_12055/0.jpg", + "video_12055/1.jpg", + "video_12055/2.jpg", + "video_12055/3.jpg", + "video_12055/4.jpg", + "video_12055/5.jpg", + "video_12055/6.jpg", + "video_12055/7.jpg", + "video_12055/8.jpg", + "video_12055/9.jpg", + "video_12055/10.jpg", + "video_12055/11.jpg", + "video_12055/12.jpg", + "video_12055/13.jpg", + "video_12055/14.jpg", + "video_12055/15.jpg", + "video_12055/16.jpg", + "video_12055/17.jpg", + "video_12055/18.jpg", + "video_12055/19.jpg", + "video_12055/20.jpg", + "video_12055/21.jpg", + "video_12055/22.jpg", + "video_12055/23.jpg", + "video_12055/24.jpg", + "video_12055/25.jpg", + "video_12055/26.jpg", + "video_12055/27.jpg", + "video_12055/28.jpg", + "video_12055/29.jpg", + "video_12055/30.jpg", + "video_12055/31.jpg", + "video_12055/32.jpg", + "video_12055/33.jpg", + "video_12055/34.jpg", + "video_12055/35.jpg", + "video_12055/36.jpg", + "video_12055/37.jpg", + "video_12055/38.jpg", + "video_12055/39.jpg", + "video_12055/40.jpg", + "video_12055/41.jpg", + "video_12055/42.jpg", + "video_12055/43.jpg", + "video_12055/44.jpg", + "video_12055/45.jpg", + "video_12055/46.jpg", + "video_12055/47.jpg", + "video_12055/48.jpg", + "video_12055/49.jpg", + "video_12055/50.jpg", + "video_12055/51.jpg", + "video_12055/52.jpg", + "video_12055/53.jpg", + "video_12055/54.jpg", + "video_12055/55.jpg", + "video_12055/56.jpg", + "video_12055/57.jpg", + "video_12055/58.jpg", + "video_12055/59.jpg", + "video_12055/60.jpg", + "video_12055/61.jpg", + "video_12055/62.jpg", + "video_12055/63.jpg" + ], + "prompt": "Can you identify the direction of the blue sphere's movement in the video?" + }, + "output": { + "text": "Up and to the right." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0060", + "input": { + "video_file_list": [ + "video_13978/0.jpg", + "video_13978/1.jpg", + "video_13978/2.jpg", + "video_13978/3.jpg", + "video_13978/4.jpg", + "video_13978/5.jpg", + "video_13978/6.jpg", + "video_13978/7.jpg", + "video_13978/8.jpg", + "video_13978/9.jpg", + "video_13978/10.jpg", + "video_13978/11.jpg", + "video_13978/12.jpg", + "video_13978/13.jpg", + "video_13978/14.jpg", + "video_13978/15.jpg", + "video_13978/16.jpg", + "video_13978/17.jpg", + "video_13978/18.jpg", + "video_13978/19.jpg", + "video_13978/20.jpg", + "video_13978/21.jpg", + "video_13978/22.jpg", + "video_13978/23.jpg", + "video_13978/24.jpg", + "video_13978/25.jpg", + "video_13978/26.jpg", + "video_13978/27.jpg", + "video_13978/28.jpg", + "video_13978/29.jpg", + "video_13978/30.jpg", + "video_13978/31.jpg", + "video_13978/32.jpg", + "video_13978/33.jpg", + "video_13978/34.jpg", + "video_13978/35.jpg", + "video_13978/36.jpg", + "video_13978/37.jpg", + "video_13978/38.jpg", + "video_13978/39.jpg", + "video_13978/40.jpg", + "video_13978/41.jpg", + "video_13978/42.jpg", + "video_13978/43.jpg", + "video_13978/44.jpg", + "video_13978/45.jpg", + "video_13978/46.jpg", + "video_13978/47.jpg", + "video_13978/48.jpg", + "video_13978/49.jpg", + "video_13978/50.jpg", + "video_13978/51.jpg", + "video_13978/52.jpg", + "video_13978/53.jpg", + "video_13978/54.jpg", + "video_13978/55.jpg", + "video_13978/56.jpg", + "video_13978/57.jpg", + "video_13978/58.jpg", + "video_13978/59.jpg", + "video_13978/60.jpg", + "video_13978/61.jpg", + "video_13978/62.jpg", + "video_13978/63.jpg" + ], + "prompt": "In which direction does the green cube move in the video?" + }, + "output": { + "text": "Up and to the left." + } + }, + { + "id": "vc_closeset_objectdirectionvideoquestionanswering_0017", + "input": { + "video_file_list": [ + "video_12823/0.jpg", + "video_12823/1.jpg", + "video_12823/2.jpg", + "video_12823/3.jpg", + "video_12823/4.jpg", + "video_12823/5.jpg", + "video_12823/6.jpg", + "video_12823/7.jpg", + "video_12823/8.jpg", + "video_12823/9.jpg", + "video_12823/10.jpg", + "video_12823/11.jpg", + "video_12823/12.jpg", + "video_12823/13.jpg", + "video_12823/14.jpg", + "video_12823/15.jpg", + "video_12823/16.jpg", + "video_12823/17.jpg", + "video_12823/18.jpg", + "video_12823/19.jpg", + "video_12823/20.jpg", + "video_12823/21.jpg", + "video_12823/22.jpg", + "video_12823/23.jpg", + "video_12823/24.jpg", + "video_12823/25.jpg", + "video_12823/26.jpg", + "video_12823/27.jpg", + "video_12823/28.jpg", + "video_12823/29.jpg", + "video_12823/30.jpg", + "video_12823/31.jpg", + "video_12823/32.jpg", + "video_12823/33.jpg", + "video_12823/34.jpg", + "video_12823/35.jpg", + "video_12823/36.jpg", + "video_12823/37.jpg", + "video_12823/38.jpg", + "video_12823/39.jpg", + "video_12823/40.jpg", + "video_12823/41.jpg", + "video_12823/42.jpg", + "video_12823/43.jpg", + "video_12823/44.jpg", + "video_12823/45.jpg", + "video_12823/46.jpg", + "video_12823/47.jpg", + "video_12823/48.jpg", + "video_12823/49.jpg", + "video_12823/50.jpg", + "video_12823/51.jpg", + "video_12823/52.jpg", + "video_12823/53.jpg", + "video_12823/54.jpg", + "video_12823/55.jpg", + "video_12823/56.jpg", + "video_12823/57.jpg", + "video_12823/58.jpg", + "video_12823/59.jpg", + "video_12823/60.jpg", + "video_12823/61.jpg", + "video_12823/62.jpg", + "video_12823/63.jpg" + ], + "prompt": "Can you identify the direction of the purple sphere's movement in the video?" + }, + "output": { + "text": "Down and to the right." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ObjectLocationVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ObjectLocationVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..29f9ca65b6e0e03ec2d9ad83bdffc6970ac7bc2e --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ObjectLocationVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ObjectLocationVideoQuestionAnswering", + "data_source": "activitynetqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0227", + "input": { + "video_file_list": [ + "v_MVA568rRjzQ/0.jpg", + "v_MVA568rRjzQ/1.jpg", + "v_MVA568rRjzQ/2.jpg", + "v_MVA568rRjzQ/3.jpg", + "v_MVA568rRjzQ/4.jpg", + "v_MVA568rRjzQ/5.jpg", + "v_MVA568rRjzQ/6.jpg", + "v_MVA568rRjzQ/7.jpg", + "v_MVA568rRjzQ/8.jpg", + "v_MVA568rRjzQ/9.jpg", + "v_MVA568rRjzQ/10.jpg", + "v_MVA568rRjzQ/11.jpg", + "v_MVA568rRjzQ/12.jpg", + "v_MVA568rRjzQ/13.jpg", + "v_MVA568rRjzQ/14.jpg", + "v_MVA568rRjzQ/15.jpg", + "v_MVA568rRjzQ/16.jpg", + "v_MVA568rRjzQ/17.jpg", + "v_MVA568rRjzQ/18.jpg", + "v_MVA568rRjzQ/19.jpg", + "v_MVA568rRjzQ/20.jpg", + "v_MVA568rRjzQ/21.jpg", + "v_MVA568rRjzQ/22.jpg", + "v_MVA568rRjzQ/23.jpg", + "v_MVA568rRjzQ/24.jpg", + "v_MVA568rRjzQ/25.jpg", + "v_MVA568rRjzQ/26.jpg", + "v_MVA568rRjzQ/27.jpg", + "v_MVA568rRjzQ/28.jpg", + "v_MVA568rRjzQ/29.jpg", + "v_MVA568rRjzQ/30.jpg", + "v_MVA568rRjzQ/31.jpg", + "v_MVA568rRjzQ/32.jpg", + "v_MVA568rRjzQ/33.jpg", + "v_MVA568rRjzQ/34.jpg", + "v_MVA568rRjzQ/35.jpg", + "v_MVA568rRjzQ/36.jpg", + "v_MVA568rRjzQ/37.jpg", + "v_MVA568rRjzQ/38.jpg", + "v_MVA568rRjzQ/39.jpg", + "v_MVA568rRjzQ/40.jpg", + "v_MVA568rRjzQ/41.jpg", + "v_MVA568rRjzQ/42.jpg", + "v_MVA568rRjzQ/43.jpg", + "v_MVA568rRjzQ/44.jpg", + "v_MVA568rRjzQ/45.jpg", + "v_MVA568rRjzQ/46.jpg", + 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"v_FxpP7lqvm30/50.jpg", + "v_FxpP7lqvm30/51.jpg", + "v_FxpP7lqvm30/52.jpg", + "v_FxpP7lqvm30/53.jpg", + "v_FxpP7lqvm30/54.jpg", + "v_FxpP7lqvm30/55.jpg", + "v_FxpP7lqvm30/56.jpg", + "v_FxpP7lqvm30/57.jpg", + "v_FxpP7lqvm30/58.jpg", + "v_FxpP7lqvm30/59.jpg", + "v_FxpP7lqvm30/60.jpg", + "v_FxpP7lqvm30/61.jpg", + "v_FxpP7lqvm30/62.jpg", + "v_FxpP7lqvm30/63.jpg" + ], + "prompt": "what is the left side of the man holding the microphone\nAnswer the question using few words.\n" + }, + "output": { + "text": "group of children" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0021", + "input": { + "video_file_list": [ + "v_-CqVpCRxwTY/0.jpg", + "v_-CqVpCRxwTY/1.jpg", + "v_-CqVpCRxwTY/2.jpg", + "v_-CqVpCRxwTY/3.jpg", + "v_-CqVpCRxwTY/4.jpg", + "v_-CqVpCRxwTY/5.jpg", + "v_-CqVpCRxwTY/6.jpg", + "v_-CqVpCRxwTY/7.jpg", + "v_-CqVpCRxwTY/8.jpg", + "v_-CqVpCRxwTY/9.jpg", + "v_-CqVpCRxwTY/10.jpg", + "v_-CqVpCRxwTY/11.jpg", + "v_-CqVpCRxwTY/12.jpg", + "v_-CqVpCRxwTY/13.jpg", + 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"v_-CqVpCRxwTY/52.jpg", + "v_-CqVpCRxwTY/53.jpg", + "v_-CqVpCRxwTY/54.jpg", + "v_-CqVpCRxwTY/55.jpg", + "v_-CqVpCRxwTY/56.jpg", + "v_-CqVpCRxwTY/57.jpg", + "v_-CqVpCRxwTY/58.jpg", + "v_-CqVpCRxwTY/59.jpg", + "v_-CqVpCRxwTY/60.jpg", + "v_-CqVpCRxwTY/61.jpg", + "v_-CqVpCRxwTY/62.jpg", + "v_-CqVpCRxwTY/63.jpg" + ], + "prompt": "what is the woman in the video\nAnswer the question using few words.\n" + }, + "output": { + "text": "lake" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0344", + "input": { + "video_file_list": [ + "v_JR9LosQmMvg/0.jpg", + "v_JR9LosQmMvg/1.jpg", + "v_JR9LosQmMvg/2.jpg", + "v_JR9LosQmMvg/3.jpg", + "v_JR9LosQmMvg/4.jpg", + "v_JR9LosQmMvg/5.jpg", + "v_JR9LosQmMvg/6.jpg", + "v_JR9LosQmMvg/7.jpg", + "v_JR9LosQmMvg/8.jpg", + "v_JR9LosQmMvg/9.jpg", + "v_JR9LosQmMvg/10.jpg", + "v_JR9LosQmMvg/11.jpg", + "v_JR9LosQmMvg/12.jpg", + "v_JR9LosQmMvg/13.jpg", + "v_JR9LosQmMvg/14.jpg", + "v_JR9LosQmMvg/15.jpg", + "v_JR9LosQmMvg/16.jpg", + "v_JR9LosQmMvg/17.jpg", + "v_JR9LosQmMvg/18.jpg", + "v_JR9LosQmMvg/19.jpg", + "v_JR9LosQmMvg/20.jpg", + "v_JR9LosQmMvg/21.jpg", + "v_JR9LosQmMvg/22.jpg", + "v_JR9LosQmMvg/23.jpg", + "v_JR9LosQmMvg/24.jpg", + "v_JR9LosQmMvg/25.jpg", + "v_JR9LosQmMvg/26.jpg", + "v_JR9LosQmMvg/27.jpg", + "v_JR9LosQmMvg/28.jpg", + "v_JR9LosQmMvg/29.jpg", + "v_JR9LosQmMvg/30.jpg", + "v_JR9LosQmMvg/31.jpg", + "v_JR9LosQmMvg/32.jpg", + "v_JR9LosQmMvg/33.jpg", + "v_JR9LosQmMvg/34.jpg", + "v_JR9LosQmMvg/35.jpg", + "v_JR9LosQmMvg/36.jpg", + "v_JR9LosQmMvg/37.jpg", + "v_JR9LosQmMvg/38.jpg", + "v_JR9LosQmMvg/39.jpg", + "v_JR9LosQmMvg/40.jpg", + "v_JR9LosQmMvg/41.jpg", + "v_JR9LosQmMvg/42.jpg", + "v_JR9LosQmMvg/43.jpg", + "v_JR9LosQmMvg/44.jpg", + "v_JR9LosQmMvg/45.jpg", + "v_JR9LosQmMvg/46.jpg", + "v_JR9LosQmMvg/47.jpg", + "v_JR9LosQmMvg/48.jpg", + "v_JR9LosQmMvg/49.jpg", + "v_JR9LosQmMvg/50.jpg", + "v_JR9LosQmMvg/51.jpg", + "v_JR9LosQmMvg/52.jpg", + "v_JR9LosQmMvg/53.jpg", + "v_JR9LosQmMvg/54.jpg", + "v_JR9LosQmMvg/55.jpg", + "v_JR9LosQmMvg/56.jpg", + "v_JR9LosQmMvg/57.jpg", + "v_JR9LosQmMvg/58.jpg", + "v_JR9LosQmMvg/59.jpg", + "v_JR9LosQmMvg/60.jpg", + "v_JR9LosQmMvg/61.jpg", + "v_JR9LosQmMvg/62.jpg", + "v_JR9LosQmMvg/63.jpg" + ], + "prompt": "what is in front of the audience\nAnswer the question using few words.\n" + }, + "output": { + "text": "court" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0424", + "input": { + "video_file_list": [ + "v_j81ndpMC9gI/0.jpg", + "v_j81ndpMC9gI/1.jpg", + "v_j81ndpMC9gI/2.jpg", + "v_j81ndpMC9gI/3.jpg", + "v_j81ndpMC9gI/4.jpg", + "v_j81ndpMC9gI/5.jpg", + "v_j81ndpMC9gI/6.jpg", + "v_j81ndpMC9gI/7.jpg", + "v_j81ndpMC9gI/8.jpg", + "v_j81ndpMC9gI/9.jpg", + "v_j81ndpMC9gI/10.jpg", + "v_j81ndpMC9gI/11.jpg", + "v_j81ndpMC9gI/12.jpg", + "v_j81ndpMC9gI/13.jpg", + "v_j81ndpMC9gI/14.jpg", + "v_j81ndpMC9gI/15.jpg", + "v_j81ndpMC9gI/16.jpg", + "v_j81ndpMC9gI/17.jpg", + "v_j81ndpMC9gI/18.jpg", + "v_j81ndpMC9gI/19.jpg", + "v_j81ndpMC9gI/20.jpg", + "v_j81ndpMC9gI/21.jpg", + "v_j81ndpMC9gI/22.jpg", + "v_j81ndpMC9gI/23.jpg", + "v_j81ndpMC9gI/24.jpg", + "v_j81ndpMC9gI/25.jpg", + "v_j81ndpMC9gI/26.jpg", + "v_j81ndpMC9gI/27.jpg", + "v_j81ndpMC9gI/28.jpg", + "v_j81ndpMC9gI/29.jpg", + "v_j81ndpMC9gI/30.jpg", + "v_j81ndpMC9gI/31.jpg", + "v_j81ndpMC9gI/32.jpg", + "v_j81ndpMC9gI/33.jpg", + "v_j81ndpMC9gI/34.jpg", + "v_j81ndpMC9gI/35.jpg", + "v_j81ndpMC9gI/36.jpg", + "v_j81ndpMC9gI/37.jpg", + "v_j81ndpMC9gI/38.jpg", + "v_j81ndpMC9gI/39.jpg", + "v_j81ndpMC9gI/40.jpg", + "v_j81ndpMC9gI/41.jpg", + "v_j81ndpMC9gI/42.jpg", + "v_j81ndpMC9gI/43.jpg", + "v_j81ndpMC9gI/44.jpg", + "v_j81ndpMC9gI/45.jpg", + "v_j81ndpMC9gI/46.jpg", + "v_j81ndpMC9gI/47.jpg", + "v_j81ndpMC9gI/48.jpg", + "v_j81ndpMC9gI/49.jpg", + "v_j81ndpMC9gI/50.jpg", + "v_j81ndpMC9gI/51.jpg", + "v_j81ndpMC9gI/52.jpg", + "v_j81ndpMC9gI/53.jpg", + "v_j81ndpMC9gI/54.jpg", + "v_j81ndpMC9gI/55.jpg", + "v_j81ndpMC9gI/56.jpg", + "v_j81ndpMC9gI/57.jpg", + "v_j81ndpMC9gI/58.jpg", + "v_j81ndpMC9gI/59.jpg", + "v_j81ndpMC9gI/60.jpg", + "v_j81ndpMC9gI/61.jpg", + "v_j81ndpMC9gI/62.jpg", + "v_j81ndpMC9gI/63.jpg" + ], + "prompt": "what is behind the woman in the video\nAnswer the question using few words.\n" + }, + "output": { + "text": "wall" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0204", + "input": { + "video_file_list": [ + "v_9snScUyE8_4/0.jpg", + "v_9snScUyE8_4/1.jpg", + "v_9snScUyE8_4/2.jpg", + "v_9snScUyE8_4/3.jpg", + "v_9snScUyE8_4/4.jpg", + "v_9snScUyE8_4/5.jpg", + "v_9snScUyE8_4/6.jpg", + "v_9snScUyE8_4/7.jpg", + "v_9snScUyE8_4/8.jpg", + "v_9snScUyE8_4/9.jpg", + "v_9snScUyE8_4/10.jpg", + "v_9snScUyE8_4/11.jpg", + "v_9snScUyE8_4/12.jpg", + "v_9snScUyE8_4/13.jpg", + "v_9snScUyE8_4/14.jpg", + "v_9snScUyE8_4/15.jpg", + "v_9snScUyE8_4/16.jpg", + "v_9snScUyE8_4/17.jpg", + "v_9snScUyE8_4/18.jpg", + "v_9snScUyE8_4/19.jpg", + "v_9snScUyE8_4/20.jpg", + "v_9snScUyE8_4/21.jpg", + "v_9snScUyE8_4/22.jpg", + "v_9snScUyE8_4/23.jpg", + "v_9snScUyE8_4/24.jpg", + "v_9snScUyE8_4/25.jpg", + "v_9snScUyE8_4/26.jpg", + "v_9snScUyE8_4/27.jpg", + "v_9snScUyE8_4/28.jpg", + "v_9snScUyE8_4/29.jpg", + "v_9snScUyE8_4/30.jpg", + "v_9snScUyE8_4/31.jpg", + "v_9snScUyE8_4/32.jpg", + "v_9snScUyE8_4/33.jpg", + "v_9snScUyE8_4/34.jpg", + "v_9snScUyE8_4/35.jpg", + "v_9snScUyE8_4/36.jpg", + "v_9snScUyE8_4/37.jpg", + "v_9snScUyE8_4/38.jpg", + "v_9snScUyE8_4/39.jpg", + "v_9snScUyE8_4/40.jpg", + "v_9snScUyE8_4/41.jpg", + "v_9snScUyE8_4/42.jpg", + "v_9snScUyE8_4/43.jpg", + "v_9snScUyE8_4/44.jpg", + "v_9snScUyE8_4/45.jpg", + "v_9snScUyE8_4/46.jpg", + "v_9snScUyE8_4/47.jpg", + "v_9snScUyE8_4/48.jpg", + "v_9snScUyE8_4/49.jpg", + "v_9snScUyE8_4/50.jpg", + "v_9snScUyE8_4/51.jpg", + "v_9snScUyE8_4/52.jpg", + "v_9snScUyE8_4/53.jpg", + "v_9snScUyE8_4/54.jpg", + "v_9snScUyE8_4/55.jpg", + "v_9snScUyE8_4/56.jpg", + "v_9snScUyE8_4/57.jpg", + "v_9snScUyE8_4/58.jpg", + "v_9snScUyE8_4/59.jpg", + "v_9snScUyE8_4/60.jpg", + 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"prompt": "what is on the white table\nAnswer the question using few words.\n" + }, + "output": { + "text": "cake" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0158", + "input": { + "video_file_list": [ + "v_1IbkFHNA7fg/0.jpg", + "v_1IbkFHNA7fg/1.jpg", + "v_1IbkFHNA7fg/2.jpg", + "v_1IbkFHNA7fg/3.jpg", + "v_1IbkFHNA7fg/4.jpg", + "v_1IbkFHNA7fg/5.jpg", + "v_1IbkFHNA7fg/6.jpg", + "v_1IbkFHNA7fg/7.jpg", + "v_1IbkFHNA7fg/8.jpg", + "v_1IbkFHNA7fg/9.jpg", + "v_1IbkFHNA7fg/10.jpg", + "v_1IbkFHNA7fg/11.jpg", + "v_1IbkFHNA7fg/12.jpg", + "v_1IbkFHNA7fg/13.jpg", + "v_1IbkFHNA7fg/14.jpg", + "v_1IbkFHNA7fg/15.jpg", + "v_1IbkFHNA7fg/16.jpg", + "v_1IbkFHNA7fg/17.jpg", + "v_1IbkFHNA7fg/18.jpg", + "v_1IbkFHNA7fg/19.jpg", + "v_1IbkFHNA7fg/20.jpg", + "v_1IbkFHNA7fg/21.jpg", + "v_1IbkFHNA7fg/22.jpg", + "v_1IbkFHNA7fg/23.jpg", + "v_1IbkFHNA7fg/24.jpg", + "v_1IbkFHNA7fg/25.jpg", + "v_1IbkFHNA7fg/26.jpg", + "v_1IbkFHNA7fg/27.jpg", + "v_1IbkFHNA7fg/28.jpg", + "v_1IbkFHNA7fg/29.jpg", + "v_1IbkFHNA7fg/30.jpg", + "v_1IbkFHNA7fg/31.jpg", + "v_1IbkFHNA7fg/32.jpg", + "v_1IbkFHNA7fg/33.jpg", + "v_1IbkFHNA7fg/34.jpg", + "v_1IbkFHNA7fg/35.jpg", + "v_1IbkFHNA7fg/36.jpg", + "v_1IbkFHNA7fg/37.jpg", + "v_1IbkFHNA7fg/38.jpg", + "v_1IbkFHNA7fg/39.jpg", + "v_1IbkFHNA7fg/40.jpg", + "v_1IbkFHNA7fg/41.jpg", + "v_1IbkFHNA7fg/42.jpg", + "v_1IbkFHNA7fg/43.jpg", + "v_1IbkFHNA7fg/44.jpg", + "v_1IbkFHNA7fg/45.jpg", + "v_1IbkFHNA7fg/46.jpg", + "v_1IbkFHNA7fg/47.jpg", + "v_1IbkFHNA7fg/48.jpg", + "v_1IbkFHNA7fg/49.jpg", + "v_1IbkFHNA7fg/50.jpg", + "v_1IbkFHNA7fg/51.jpg", + "v_1IbkFHNA7fg/52.jpg", + "v_1IbkFHNA7fg/53.jpg", + "v_1IbkFHNA7fg/54.jpg", + "v_1IbkFHNA7fg/55.jpg", + "v_1IbkFHNA7fg/56.jpg", + "v_1IbkFHNA7fg/57.jpg", + "v_1IbkFHNA7fg/58.jpg", + "v_1IbkFHNA7fg/59.jpg", + "v_1IbkFHNA7fg/60.jpg", + "v_1IbkFHNA7fg/61.jpg", + "v_1IbkFHNA7fg/62.jpg", + "v_1IbkFHNA7fg/63.jpg" + ], + "prompt": "what is in front of the person in a plaid shirt\nAnswer the question using few words.\n" + }, + "output": { + "text": "basket" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0210", + "input": { + "video_file_list": [ + "v_836UrVGw6GI/0.jpg", + "v_836UrVGw6GI/1.jpg", + "v_836UrVGw6GI/2.jpg", + "v_836UrVGw6GI/3.jpg", + "v_836UrVGw6GI/4.jpg", + "v_836UrVGw6GI/5.jpg", + "v_836UrVGw6GI/6.jpg", + "v_836UrVGw6GI/7.jpg", + "v_836UrVGw6GI/8.jpg", + "v_836UrVGw6GI/9.jpg", + "v_836UrVGw6GI/10.jpg", + "v_836UrVGw6GI/11.jpg", + "v_836UrVGw6GI/12.jpg", + "v_836UrVGw6GI/13.jpg", + "v_836UrVGw6GI/14.jpg", + "v_836UrVGw6GI/15.jpg", + "v_836UrVGw6GI/16.jpg", + "v_836UrVGw6GI/17.jpg", + "v_836UrVGw6GI/18.jpg", + "v_836UrVGw6GI/19.jpg", + "v_836UrVGw6GI/20.jpg", + "v_836UrVGw6GI/21.jpg", + "v_836UrVGw6GI/22.jpg", + "v_836UrVGw6GI/23.jpg", + "v_836UrVGw6GI/24.jpg", + "v_836UrVGw6GI/25.jpg", + "v_836UrVGw6GI/26.jpg", + "v_836UrVGw6GI/27.jpg", + "v_836UrVGw6GI/28.jpg", + "v_836UrVGw6GI/29.jpg", + "v_836UrVGw6GI/30.jpg", + "v_836UrVGw6GI/31.jpg", + "v_836UrVGw6GI/32.jpg", + "v_836UrVGw6GI/33.jpg", + "v_836UrVGw6GI/34.jpg", + "v_836UrVGw6GI/35.jpg", + "v_836UrVGw6GI/36.jpg", + "v_836UrVGw6GI/37.jpg", + "v_836UrVGw6GI/38.jpg", + "v_836UrVGw6GI/39.jpg", + "v_836UrVGw6GI/40.jpg", + "v_836UrVGw6GI/41.jpg", + "v_836UrVGw6GI/42.jpg", + "v_836UrVGw6GI/43.jpg", + "v_836UrVGw6GI/44.jpg", + "v_836UrVGw6GI/45.jpg", + "v_836UrVGw6GI/46.jpg", + "v_836UrVGw6GI/47.jpg", + "v_836UrVGw6GI/48.jpg", + "v_836UrVGw6GI/49.jpg", + "v_836UrVGw6GI/50.jpg", + "v_836UrVGw6GI/51.jpg", + "v_836UrVGw6GI/52.jpg", + "v_836UrVGw6GI/53.jpg", + "v_836UrVGw6GI/54.jpg", + "v_836UrVGw6GI/55.jpg", + "v_836UrVGw6GI/56.jpg", + "v_836UrVGw6GI/57.jpg", + "v_836UrVGw6GI/58.jpg", + "v_836UrVGw6GI/59.jpg", + "v_836UrVGw6GI/60.jpg", + "v_836UrVGw6GI/61.jpg", + "v_836UrVGw6GI/62.jpg", + "v_836UrVGw6GI/63.jpg" + ], + "prompt": "what is under the person in white clothes\nAnswer the question using few words.\n" + }, + "output": { + "text": "skate" + } + }, + { + "id": "vc_closeset_objectlocationvideoquestionanswering_0184", + "input": { + "video_file_list": [ + "v_9FQ-VLkCZo8/0.jpg", + "v_9FQ-VLkCZo8/1.jpg", + "v_9FQ-VLkCZo8/2.jpg", + "v_9FQ-VLkCZo8/3.jpg", + "v_9FQ-VLkCZo8/4.jpg", + "v_9FQ-VLkCZo8/5.jpg", + "v_9FQ-VLkCZo8/6.jpg", + "v_9FQ-VLkCZo8/7.jpg", + "v_9FQ-VLkCZo8/8.jpg", + "v_9FQ-VLkCZo8/9.jpg", + "v_9FQ-VLkCZo8/10.jpg", + "v_9FQ-VLkCZo8/11.jpg", + "v_9FQ-VLkCZo8/12.jpg", + "v_9FQ-VLkCZo8/13.jpg", + "v_9FQ-VLkCZo8/14.jpg", + "v_9FQ-VLkCZo8/15.jpg", + "v_9FQ-VLkCZo8/16.jpg", + "v_9FQ-VLkCZo8/17.jpg", + "v_9FQ-VLkCZo8/18.jpg", + "v_9FQ-VLkCZo8/19.jpg", + "v_9FQ-VLkCZo8/20.jpg", + "v_9FQ-VLkCZo8/21.jpg", + "v_9FQ-VLkCZo8/22.jpg", + "v_9FQ-VLkCZo8/23.jpg", + "v_9FQ-VLkCZo8/24.jpg", + "v_9FQ-VLkCZo8/25.jpg", + "v_9FQ-VLkCZo8/26.jpg", + "v_9FQ-VLkCZo8/27.jpg", + "v_9FQ-VLkCZo8/28.jpg", + "v_9FQ-VLkCZo8/29.jpg", + "v_9FQ-VLkCZo8/30.jpg", + "v_9FQ-VLkCZo8/31.jpg", + "v_9FQ-VLkCZo8/32.jpg", + "v_9FQ-VLkCZo8/33.jpg", + "v_9FQ-VLkCZo8/34.jpg", + "v_9FQ-VLkCZo8/35.jpg", + "v_9FQ-VLkCZo8/36.jpg", + "v_9FQ-VLkCZo8/37.jpg", + "v_9FQ-VLkCZo8/38.jpg", + "v_9FQ-VLkCZo8/39.jpg", + "v_9FQ-VLkCZo8/40.jpg", + "v_9FQ-VLkCZo8/41.jpg", + "v_9FQ-VLkCZo8/42.jpg", + "v_9FQ-VLkCZo8/43.jpg", + "v_9FQ-VLkCZo8/44.jpg", + "v_9FQ-VLkCZo8/45.jpg", + "v_9FQ-VLkCZo8/46.jpg", + "v_9FQ-VLkCZo8/47.jpg", + "v_9FQ-VLkCZo8/48.jpg", + "v_9FQ-VLkCZo8/49.jpg", + "v_9FQ-VLkCZo8/50.jpg", + "v_9FQ-VLkCZo8/51.jpg", + "v_9FQ-VLkCZo8/52.jpg", + "v_9FQ-VLkCZo8/53.jpg", + "v_9FQ-VLkCZo8/54.jpg", + "v_9FQ-VLkCZo8/55.jpg", + "v_9FQ-VLkCZo8/56.jpg", + "v_9FQ-VLkCZo8/57.jpg", + "v_9FQ-VLkCZo8/58.jpg", + "v_9FQ-VLkCZo8/59.jpg", + "v_9FQ-VLkCZo8/60.jpg", + "v_9FQ-VLkCZo8/61.jpg", + "v_9FQ-VLkCZo8/62.jpg", + "v_9FQ-VLkCZo8/63.jpg" + ], + "prompt": "what is behind the person wearing white clothes\nAnswer the question using few words.\n" + }, + "output": { + "text": "spectator seats" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ObjectMarkerMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ObjectMarkerMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2fae748ec401c0359002b239ec6ccaf4c0e3776a --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ObjectMarkerMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm1204", + "input": { + "video_folder": "./images/1204", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 1 4 3 5." + }, + "output": {} + }, + { + "id": "vm0916", + "input": { + "video_folder": "./images/0916", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 8 13 3 4 11 1 6 10 2 12 7 9." + }, + "output": {} + }, + { + "id": "vm0745", + "input": { + "video_folder": "./images/0745", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 14 21 1 22 20 16 3 10 19 8 13 23 12 4 18 24 7 2 17 6 9 11 15." + }, + "output": {} + }, + { + "id": "vm0194", + "input": { + "video_folder": "./images/0194", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 1 2." + }, + "output": {} + }, + { + "id": "vm0408", + "input": { + "video_folder": "./images/0408", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 4 2 6 5 1 7 3." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ObjectMotionVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ObjectMotionVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2ab0adcabed63b03b0b58be1fa8e6a23e8b963dc --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ObjectMotionVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ObjectMotionVideoQuestionAnswering", + "data_source": "activitynetqa", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0292", + "input": { + "video_file_list": [ + "v_Co_cpZWbzFk/0.jpg", + "v_Co_cpZWbzFk/1.jpg", + "v_Co_cpZWbzFk/2.jpg", + "v_Co_cpZWbzFk/3.jpg", + "v_Co_cpZWbzFk/4.jpg", + "v_Co_cpZWbzFk/5.jpg", + "v_Co_cpZWbzFk/6.jpg", + "v_Co_cpZWbzFk/7.jpg", + "v_Co_cpZWbzFk/8.jpg", + "v_Co_cpZWbzFk/9.jpg", + "v_Co_cpZWbzFk/10.jpg", + "v_Co_cpZWbzFk/11.jpg", + "v_Co_cpZWbzFk/12.jpg", + "v_Co_cpZWbzFk/13.jpg", + "v_Co_cpZWbzFk/14.jpg", + "v_Co_cpZWbzFk/15.jpg", + "v_Co_cpZWbzFk/16.jpg", + "v_Co_cpZWbzFk/17.jpg", + "v_Co_cpZWbzFk/18.jpg", + "v_Co_cpZWbzFk/19.jpg", + "v_Co_cpZWbzFk/20.jpg", + "v_Co_cpZWbzFk/21.jpg", + "v_Co_cpZWbzFk/22.jpg", + "v_Co_cpZWbzFk/23.jpg", + "v_Co_cpZWbzFk/24.jpg", + "v_Co_cpZWbzFk/25.jpg", + "v_Co_cpZWbzFk/26.jpg", + "v_Co_cpZWbzFk/27.jpg", + "v_Co_cpZWbzFk/28.jpg", + "v_Co_cpZWbzFk/29.jpg", + "v_Co_cpZWbzFk/30.jpg", + "v_Co_cpZWbzFk/31.jpg", + "v_Co_cpZWbzFk/32.jpg", + "v_Co_cpZWbzFk/33.jpg", + "v_Co_cpZWbzFk/34.jpg", + "v_Co_cpZWbzFk/35.jpg", + "v_Co_cpZWbzFk/36.jpg", + "v_Co_cpZWbzFk/37.jpg", + "v_Co_cpZWbzFk/38.jpg", + "v_Co_cpZWbzFk/39.jpg", + "v_Co_cpZWbzFk/40.jpg", + "v_Co_cpZWbzFk/41.jpg", + "v_Co_cpZWbzFk/42.jpg", + "v_Co_cpZWbzFk/43.jpg", + "v_Co_cpZWbzFk/44.jpg", + "v_Co_cpZWbzFk/45.jpg", + "v_Co_cpZWbzFk/46.jpg", + "v_Co_cpZWbzFk/47.jpg", + "v_Co_cpZWbzFk/48.jpg", + "v_Co_cpZWbzFk/49.jpg", + "v_Co_cpZWbzFk/50.jpg", + "v_Co_cpZWbzFk/51.jpg", + "v_Co_cpZWbzFk/52.jpg", + "v_Co_cpZWbzFk/53.jpg", + "v_Co_cpZWbzFk/54.jpg", + "v_Co_cpZWbzFk/55.jpg", + "v_Co_cpZWbzFk/56.jpg", + "v_Co_cpZWbzFk/57.jpg", + "v_Co_cpZWbzFk/58.jpg", + "v_Co_cpZWbzFk/59.jpg", + "v_Co_cpZWbzFk/60.jpg", + "v_Co_cpZWbzFk/61.jpg", + "v_Co_cpZWbzFk/62.jpg", + "v_Co_cpZWbzFk/63.jpg" + ], + "prompt": "what is the person in red pants doing in the video\nAnswer the question using few words.\n" + }, + "output": { + "text": "football match" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0262", + "input": { + "video_file_list": [ + "v_utgRhyBvtRU/0.jpg", + "v_utgRhyBvtRU/1.jpg", + "v_utgRhyBvtRU/2.jpg", + "v_utgRhyBvtRU/3.jpg", + "v_utgRhyBvtRU/4.jpg", + "v_utgRhyBvtRU/5.jpg", + "v_utgRhyBvtRU/6.jpg", + "v_utgRhyBvtRU/7.jpg", + "v_utgRhyBvtRU/8.jpg", + "v_utgRhyBvtRU/9.jpg", + "v_utgRhyBvtRU/10.jpg", + "v_utgRhyBvtRU/11.jpg", + "v_utgRhyBvtRU/12.jpg", + "v_utgRhyBvtRU/13.jpg", + "v_utgRhyBvtRU/14.jpg", + "v_utgRhyBvtRU/15.jpg", + "v_utgRhyBvtRU/16.jpg", + "v_utgRhyBvtRU/17.jpg", + "v_utgRhyBvtRU/18.jpg", + "v_utgRhyBvtRU/19.jpg", + "v_utgRhyBvtRU/20.jpg", + "v_utgRhyBvtRU/21.jpg", + "v_utgRhyBvtRU/22.jpg", + "v_utgRhyBvtRU/23.jpg", + "v_utgRhyBvtRU/24.jpg", + "v_utgRhyBvtRU/25.jpg", + "v_utgRhyBvtRU/26.jpg", + "v_utgRhyBvtRU/27.jpg", + "v_utgRhyBvtRU/28.jpg", + "v_utgRhyBvtRU/29.jpg", + "v_utgRhyBvtRU/30.jpg", + "v_utgRhyBvtRU/31.jpg", + "v_utgRhyBvtRU/32.jpg", + "v_utgRhyBvtRU/33.jpg", + "v_utgRhyBvtRU/34.jpg", + "v_utgRhyBvtRU/35.jpg", + "v_utgRhyBvtRU/36.jpg", + "v_utgRhyBvtRU/37.jpg", + "v_utgRhyBvtRU/38.jpg", + "v_utgRhyBvtRU/39.jpg", + "v_utgRhyBvtRU/40.jpg", + "v_utgRhyBvtRU/41.jpg", + "v_utgRhyBvtRU/42.jpg", + "v_utgRhyBvtRU/43.jpg", + "v_utgRhyBvtRU/44.jpg", + "v_utgRhyBvtRU/45.jpg", + "v_utgRhyBvtRU/46.jpg", + "v_utgRhyBvtRU/47.jpg", + "v_utgRhyBvtRU/48.jpg", + "v_utgRhyBvtRU/49.jpg", + "v_utgRhyBvtRU/50.jpg", + "v_utgRhyBvtRU/51.jpg", + "v_utgRhyBvtRU/52.jpg", + "v_utgRhyBvtRU/53.jpg", + "v_utgRhyBvtRU/54.jpg", + "v_utgRhyBvtRU/55.jpg", + "v_utgRhyBvtRU/56.jpg", + "v_utgRhyBvtRU/57.jpg", + "v_utgRhyBvtRU/58.jpg", + "v_utgRhyBvtRU/59.jpg", + "v_utgRhyBvtRU/60.jpg", + "v_utgRhyBvtRU/61.jpg", + "v_utgRhyBvtRU/62.jpg", + "v_utgRhyBvtRU/63.jpg" + ], + "prompt": "what is the woman in white doing in the video\nAnswer the question using few words.\n" + }, + "output": { + "text": "play volleyball" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0133", + "input": { + "video_file_list": [ + "v_kpOAGEYHts8/0.jpg", + "v_kpOAGEYHts8/1.jpg", + "v_kpOAGEYHts8/2.jpg", + "v_kpOAGEYHts8/3.jpg", + "v_kpOAGEYHts8/4.jpg", + "v_kpOAGEYHts8/5.jpg", + "v_kpOAGEYHts8/6.jpg", + "v_kpOAGEYHts8/7.jpg", + "v_kpOAGEYHts8/8.jpg", + "v_kpOAGEYHts8/9.jpg", + "v_kpOAGEYHts8/10.jpg", + "v_kpOAGEYHts8/11.jpg", + "v_kpOAGEYHts8/12.jpg", + "v_kpOAGEYHts8/13.jpg", + "v_kpOAGEYHts8/14.jpg", + "v_kpOAGEYHts8/15.jpg", + "v_kpOAGEYHts8/16.jpg", + "v_kpOAGEYHts8/17.jpg", + "v_kpOAGEYHts8/18.jpg", + "v_kpOAGEYHts8/19.jpg", + "v_kpOAGEYHts8/20.jpg", + "v_kpOAGEYHts8/21.jpg", + "v_kpOAGEYHts8/22.jpg", + "v_kpOAGEYHts8/23.jpg", + "v_kpOAGEYHts8/24.jpg", + "v_kpOAGEYHts8/25.jpg", + "v_kpOAGEYHts8/26.jpg", + "v_kpOAGEYHts8/27.jpg", + "v_kpOAGEYHts8/28.jpg", + "v_kpOAGEYHts8/29.jpg", + "v_kpOAGEYHts8/30.jpg", + "v_kpOAGEYHts8/31.jpg", + "v_kpOAGEYHts8/32.jpg", + "v_kpOAGEYHts8/33.jpg", + "v_kpOAGEYHts8/34.jpg", + "v_kpOAGEYHts8/35.jpg", + "v_kpOAGEYHts8/36.jpg", + "v_kpOAGEYHts8/37.jpg", + "v_kpOAGEYHts8/38.jpg", + "v_kpOAGEYHts8/39.jpg", + "v_kpOAGEYHts8/40.jpg", + "v_kpOAGEYHts8/41.jpg", + "v_kpOAGEYHts8/42.jpg", + "v_kpOAGEYHts8/43.jpg", + "v_kpOAGEYHts8/44.jpg", + "v_kpOAGEYHts8/45.jpg", + "v_kpOAGEYHts8/46.jpg", + "v_kpOAGEYHts8/47.jpg", + "v_kpOAGEYHts8/48.jpg", + "v_kpOAGEYHts8/49.jpg", + "v_kpOAGEYHts8/50.jpg", + "v_kpOAGEYHts8/51.jpg", + "v_kpOAGEYHts8/52.jpg", + "v_kpOAGEYHts8/53.jpg", + "v_kpOAGEYHts8/54.jpg", + "v_kpOAGEYHts8/55.jpg", + "v_kpOAGEYHts8/56.jpg", + "v_kpOAGEYHts8/57.jpg", + "v_kpOAGEYHts8/58.jpg", + "v_kpOAGEYHts8/59.jpg", + "v_kpOAGEYHts8/60.jpg", + "v_kpOAGEYHts8/61.jpg", + "v_kpOAGEYHts8/62.jpg", + "v_kpOAGEYHts8/63.jpg" + ], + "prompt": "what is this woman doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "rules of playing cards" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0361", + "input": { + "video_file_list": [ + "v_0e5zwJywyqk/0.jpg", + "v_0e5zwJywyqk/1.jpg", + "v_0e5zwJywyqk/2.jpg", + "v_0e5zwJywyqk/3.jpg", + "v_0e5zwJywyqk/4.jpg", + "v_0e5zwJywyqk/5.jpg", + "v_0e5zwJywyqk/6.jpg", + "v_0e5zwJywyqk/7.jpg", + "v_0e5zwJywyqk/8.jpg", + "v_0e5zwJywyqk/9.jpg", + "v_0e5zwJywyqk/10.jpg", + "v_0e5zwJywyqk/11.jpg", + "v_0e5zwJywyqk/12.jpg", + "v_0e5zwJywyqk/13.jpg", + "v_0e5zwJywyqk/14.jpg", + "v_0e5zwJywyqk/15.jpg", + "v_0e5zwJywyqk/16.jpg", + "v_0e5zwJywyqk/17.jpg", + "v_0e5zwJywyqk/18.jpg", + "v_0e5zwJywyqk/19.jpg", + "v_0e5zwJywyqk/20.jpg", + "v_0e5zwJywyqk/21.jpg", + "v_0e5zwJywyqk/22.jpg", + "v_0e5zwJywyqk/23.jpg", + "v_0e5zwJywyqk/24.jpg", + "v_0e5zwJywyqk/25.jpg", + "v_0e5zwJywyqk/26.jpg", + "v_0e5zwJywyqk/27.jpg", + "v_0e5zwJywyqk/28.jpg", + "v_0e5zwJywyqk/29.jpg", + "v_0e5zwJywyqk/30.jpg", + "v_0e5zwJywyqk/31.jpg", + "v_0e5zwJywyqk/32.jpg", + "v_0e5zwJywyqk/33.jpg", + "v_0e5zwJywyqk/34.jpg", + "v_0e5zwJywyqk/35.jpg", + "v_0e5zwJywyqk/36.jpg", + "v_0e5zwJywyqk/37.jpg", + "v_0e5zwJywyqk/38.jpg", + "v_0e5zwJywyqk/39.jpg", + "v_0e5zwJywyqk/40.jpg", + "v_0e5zwJywyqk/41.jpg", + "v_0e5zwJywyqk/42.jpg", + "v_0e5zwJywyqk/43.jpg", + "v_0e5zwJywyqk/44.jpg", + "v_0e5zwJywyqk/45.jpg", + "v_0e5zwJywyqk/46.jpg", + "v_0e5zwJywyqk/47.jpg", + "v_0e5zwJywyqk/48.jpg", + "v_0e5zwJywyqk/49.jpg", + "v_0e5zwJywyqk/50.jpg", + "v_0e5zwJywyqk/51.jpg", + "v_0e5zwJywyqk/52.jpg", + "v_0e5zwJywyqk/53.jpg", + "v_0e5zwJywyqk/54.jpg", + "v_0e5zwJywyqk/55.jpg", + "v_0e5zwJywyqk/56.jpg", + "v_0e5zwJywyqk/57.jpg", + "v_0e5zwJywyqk/58.jpg", + "v_0e5zwJywyqk/59.jpg", + "v_0e5zwJywyqk/60.jpg", + "v_0e5zwJywyqk/61.jpg", + "v_0e5zwJywyqk/62.jpg", + "v_0e5zwJywyqk/63.jpg" + ], + "prompt": "what is the person in the video doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "make spaghetti" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0369", + "input": { + "video_file_list": [ + "v_EETygPQ-j08/0.jpg", + "v_EETygPQ-j08/1.jpg", + "v_EETygPQ-j08/2.jpg", + "v_EETygPQ-j08/3.jpg", + "v_EETygPQ-j08/4.jpg", + "v_EETygPQ-j08/5.jpg", + "v_EETygPQ-j08/6.jpg", + "v_EETygPQ-j08/7.jpg", + "v_EETygPQ-j08/8.jpg", + "v_EETygPQ-j08/9.jpg", + "v_EETygPQ-j08/10.jpg", + "v_EETygPQ-j08/11.jpg", + "v_EETygPQ-j08/12.jpg", + "v_EETygPQ-j08/13.jpg", + "v_EETygPQ-j08/14.jpg", + "v_EETygPQ-j08/15.jpg", + "v_EETygPQ-j08/16.jpg", + "v_EETygPQ-j08/17.jpg", + "v_EETygPQ-j08/18.jpg", + "v_EETygPQ-j08/19.jpg", + "v_EETygPQ-j08/20.jpg", + "v_EETygPQ-j08/21.jpg", + "v_EETygPQ-j08/22.jpg", + "v_EETygPQ-j08/23.jpg", + "v_EETygPQ-j08/24.jpg", + "v_EETygPQ-j08/25.jpg", + "v_EETygPQ-j08/26.jpg", + "v_EETygPQ-j08/27.jpg", + "v_EETygPQ-j08/28.jpg", + "v_EETygPQ-j08/29.jpg", + "v_EETygPQ-j08/30.jpg", + "v_EETygPQ-j08/31.jpg", + "v_EETygPQ-j08/32.jpg", + "v_EETygPQ-j08/33.jpg", + "v_EETygPQ-j08/34.jpg", + "v_EETygPQ-j08/35.jpg", + "v_EETygPQ-j08/36.jpg", + "v_EETygPQ-j08/37.jpg", + "v_EETygPQ-j08/38.jpg", + "v_EETygPQ-j08/39.jpg", + "v_EETygPQ-j08/40.jpg", + "v_EETygPQ-j08/41.jpg", + "v_EETygPQ-j08/42.jpg", + "v_EETygPQ-j08/43.jpg", + "v_EETygPQ-j08/44.jpg", + "v_EETygPQ-j08/45.jpg", + "v_EETygPQ-j08/46.jpg", + "v_EETygPQ-j08/47.jpg", + "v_EETygPQ-j08/48.jpg", + "v_EETygPQ-j08/49.jpg", + "v_EETygPQ-j08/50.jpg", + "v_EETygPQ-j08/51.jpg", + "v_EETygPQ-j08/52.jpg", + "v_EETygPQ-j08/53.jpg", + "v_EETygPQ-j08/54.jpg", + "v_EETygPQ-j08/55.jpg", + "v_EETygPQ-j08/56.jpg", + "v_EETygPQ-j08/57.jpg", + "v_EETygPQ-j08/58.jpg", + "v_EETygPQ-j08/59.jpg", + "v_EETygPQ-j08/60.jpg", + "v_EETygPQ-j08/61.jpg", + "v_EETygPQ-j08/62.jpg", + "v_EETygPQ-j08/63.jpg" + ], + "prompt": "what is the girl in blue doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "pulley slippery" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0258", + "input": { + "video_file_list": [ + "v_wLXty2wzuJg/0.jpg", + "v_wLXty2wzuJg/1.jpg", + "v_wLXty2wzuJg/2.jpg", + "v_wLXty2wzuJg/3.jpg", + "v_wLXty2wzuJg/4.jpg", + "v_wLXty2wzuJg/5.jpg", + "v_wLXty2wzuJg/6.jpg", + "v_wLXty2wzuJg/7.jpg", + "v_wLXty2wzuJg/8.jpg", + "v_wLXty2wzuJg/9.jpg", + "v_wLXty2wzuJg/10.jpg", + "v_wLXty2wzuJg/11.jpg", + "v_wLXty2wzuJg/12.jpg", + "v_wLXty2wzuJg/13.jpg", + "v_wLXty2wzuJg/14.jpg", + "v_wLXty2wzuJg/15.jpg", + 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"v_wLXty2wzuJg/54.jpg", + "v_wLXty2wzuJg/55.jpg", + "v_wLXty2wzuJg/56.jpg", + "v_wLXty2wzuJg/57.jpg", + "v_wLXty2wzuJg/58.jpg", + "v_wLXty2wzuJg/59.jpg", + "v_wLXty2wzuJg/60.jpg", + "v_wLXty2wzuJg/61.jpg", + "v_wLXty2wzuJg/62.jpg", + "v_wLXty2wzuJg/63.jpg" + ], + "prompt": "what is mr. bean doing in the video\nAnswer the question using few words.\n" + }, + "output": { + "text": "swimming" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0207", + "input": { + "video_file_list": [ + "v_Dd5yTxwKzXw/0.jpg", + "v_Dd5yTxwKzXw/1.jpg", + "v_Dd5yTxwKzXw/2.jpg", + "v_Dd5yTxwKzXw/3.jpg", + "v_Dd5yTxwKzXw/4.jpg", + "v_Dd5yTxwKzXw/5.jpg", + "v_Dd5yTxwKzXw/6.jpg", + "v_Dd5yTxwKzXw/7.jpg", + "v_Dd5yTxwKzXw/8.jpg", + "v_Dd5yTxwKzXw/9.jpg", + "v_Dd5yTxwKzXw/10.jpg", + "v_Dd5yTxwKzXw/11.jpg", + "v_Dd5yTxwKzXw/12.jpg", + "v_Dd5yTxwKzXw/13.jpg", + "v_Dd5yTxwKzXw/14.jpg", + "v_Dd5yTxwKzXw/15.jpg", + "v_Dd5yTxwKzXw/16.jpg", + "v_Dd5yTxwKzXw/17.jpg", + "v_Dd5yTxwKzXw/18.jpg", + 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"v_Dd5yTxwKzXw/57.jpg", + "v_Dd5yTxwKzXw/58.jpg", + "v_Dd5yTxwKzXw/59.jpg", + "v_Dd5yTxwKzXw/60.jpg", + "v_Dd5yTxwKzXw/61.jpg", + "v_Dd5yTxwKzXw/62.jpg", + "v_Dd5yTxwKzXw/63.jpg" + ], + "prompt": "what is the person in the video doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "make hair" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0169", + "input": { + "video_file_list": [ + "v_k--dW53UQWs/0.jpg", + "v_k--dW53UQWs/1.jpg", + "v_k--dW53UQWs/2.jpg", + "v_k--dW53UQWs/3.jpg", + "v_k--dW53UQWs/4.jpg", + "v_k--dW53UQWs/5.jpg", + "v_k--dW53UQWs/6.jpg", + "v_k--dW53UQWs/7.jpg", + "v_k--dW53UQWs/8.jpg", + "v_k--dW53UQWs/9.jpg", + "v_k--dW53UQWs/10.jpg", + "v_k--dW53UQWs/11.jpg", + "v_k--dW53UQWs/12.jpg", + "v_k--dW53UQWs/13.jpg", + "v_k--dW53UQWs/14.jpg", + "v_k--dW53UQWs/15.jpg", + "v_k--dW53UQWs/16.jpg", + "v_k--dW53UQWs/17.jpg", + "v_k--dW53UQWs/18.jpg", + "v_k--dW53UQWs/19.jpg", + "v_k--dW53UQWs/20.jpg", + "v_k--dW53UQWs/21.jpg", + "v_k--dW53UQWs/22.jpg", + "v_k--dW53UQWs/23.jpg", + "v_k--dW53UQWs/24.jpg", + "v_k--dW53UQWs/25.jpg", + "v_k--dW53UQWs/26.jpg", + "v_k--dW53UQWs/27.jpg", + "v_k--dW53UQWs/28.jpg", + "v_k--dW53UQWs/29.jpg", + "v_k--dW53UQWs/30.jpg", + "v_k--dW53UQWs/31.jpg", + "v_k--dW53UQWs/32.jpg", + "v_k--dW53UQWs/33.jpg", + "v_k--dW53UQWs/34.jpg", + "v_k--dW53UQWs/35.jpg", + "v_k--dW53UQWs/36.jpg", + "v_k--dW53UQWs/37.jpg", + "v_k--dW53UQWs/38.jpg", + "v_k--dW53UQWs/39.jpg", + "v_k--dW53UQWs/40.jpg", + "v_k--dW53UQWs/41.jpg", + "v_k--dW53UQWs/42.jpg", + "v_k--dW53UQWs/43.jpg", + "v_k--dW53UQWs/44.jpg", + "v_k--dW53UQWs/45.jpg", + "v_k--dW53UQWs/46.jpg", + "v_k--dW53UQWs/47.jpg", + "v_k--dW53UQWs/48.jpg", + "v_k--dW53UQWs/49.jpg", + "v_k--dW53UQWs/50.jpg", + "v_k--dW53UQWs/51.jpg", + "v_k--dW53UQWs/52.jpg", + "v_k--dW53UQWs/53.jpg", + "v_k--dW53UQWs/54.jpg", + "v_k--dW53UQWs/55.jpg", + "v_k--dW53UQWs/56.jpg", + "v_k--dW53UQWs/57.jpg", + "v_k--dW53UQWs/58.jpg", + "v_k--dW53UQWs/59.jpg", + "v_k--dW53UQWs/60.jpg", + "v_k--dW53UQWs/61.jpg", + "v_k--dW53UQWs/62.jpg", + "v_k--dW53UQWs/63.jpg" + ], + "prompt": "what is the person in black doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "bodybuilding" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0430", + "input": { + "video_file_list": [ + "v_hIYN8cC3pEA/0.jpg", + "v_hIYN8cC3pEA/1.jpg", + "v_hIYN8cC3pEA/2.jpg", + "v_hIYN8cC3pEA/3.jpg", + "v_hIYN8cC3pEA/4.jpg", + "v_hIYN8cC3pEA/5.jpg", + "v_hIYN8cC3pEA/6.jpg", + "v_hIYN8cC3pEA/7.jpg", + "v_hIYN8cC3pEA/8.jpg", + "v_hIYN8cC3pEA/9.jpg", + "v_hIYN8cC3pEA/10.jpg", + "v_hIYN8cC3pEA/11.jpg", + "v_hIYN8cC3pEA/12.jpg", + "v_hIYN8cC3pEA/13.jpg", + "v_hIYN8cC3pEA/14.jpg", + "v_hIYN8cC3pEA/15.jpg", + "v_hIYN8cC3pEA/16.jpg", + "v_hIYN8cC3pEA/17.jpg", + "v_hIYN8cC3pEA/18.jpg", + "v_hIYN8cC3pEA/19.jpg", + "v_hIYN8cC3pEA/20.jpg", + "v_hIYN8cC3pEA/21.jpg", + "v_hIYN8cC3pEA/22.jpg", + "v_hIYN8cC3pEA/23.jpg", + "v_hIYN8cC3pEA/24.jpg", + "v_hIYN8cC3pEA/25.jpg", + "v_hIYN8cC3pEA/26.jpg", + "v_hIYN8cC3pEA/27.jpg", + "v_hIYN8cC3pEA/28.jpg", + "v_hIYN8cC3pEA/29.jpg", + "v_hIYN8cC3pEA/30.jpg", + "v_hIYN8cC3pEA/31.jpg", + "v_hIYN8cC3pEA/32.jpg", + "v_hIYN8cC3pEA/33.jpg", + "v_hIYN8cC3pEA/34.jpg", + "v_hIYN8cC3pEA/35.jpg", + "v_hIYN8cC3pEA/36.jpg", + "v_hIYN8cC3pEA/37.jpg", + "v_hIYN8cC3pEA/38.jpg", + "v_hIYN8cC3pEA/39.jpg", + "v_hIYN8cC3pEA/40.jpg", + "v_hIYN8cC3pEA/41.jpg", + "v_hIYN8cC3pEA/42.jpg", + "v_hIYN8cC3pEA/43.jpg", + "v_hIYN8cC3pEA/44.jpg", + "v_hIYN8cC3pEA/45.jpg", + "v_hIYN8cC3pEA/46.jpg", + "v_hIYN8cC3pEA/47.jpg", + "v_hIYN8cC3pEA/48.jpg", + "v_hIYN8cC3pEA/49.jpg", + "v_hIYN8cC3pEA/50.jpg", + "v_hIYN8cC3pEA/51.jpg", + "v_hIYN8cC3pEA/52.jpg", + "v_hIYN8cC3pEA/53.jpg", + "v_hIYN8cC3pEA/54.jpg", + "v_hIYN8cC3pEA/55.jpg", + "v_hIYN8cC3pEA/56.jpg", + "v_hIYN8cC3pEA/57.jpg", + "v_hIYN8cC3pEA/58.jpg", + "v_hIYN8cC3pEA/59.jpg", + "v_hIYN8cC3pEA/60.jpg", + "v_hIYN8cC3pEA/61.jpg", + "v_hIYN8cC3pEA/62.jpg", + "v_hIYN8cC3pEA/63.jpg" + ], + "prompt": "what's the person in a white vest doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "poweriser" + } + }, + { + "id": "vc_closeset_objectmotionvideoquestionanswering_0433", + "input": { + "video_file_list": [ + "v_Of2Umm79Kxg/0.jpg", + "v_Of2Umm79Kxg/1.jpg", + "v_Of2Umm79Kxg/2.jpg", + "v_Of2Umm79Kxg/3.jpg", + "v_Of2Umm79Kxg/4.jpg", + "v_Of2Umm79Kxg/5.jpg", + "v_Of2Umm79Kxg/6.jpg", + "v_Of2Umm79Kxg/7.jpg", + "v_Of2Umm79Kxg/8.jpg", + "v_Of2Umm79Kxg/9.jpg", + "v_Of2Umm79Kxg/10.jpg", + "v_Of2Umm79Kxg/11.jpg", + "v_Of2Umm79Kxg/12.jpg", + "v_Of2Umm79Kxg/13.jpg", + "v_Of2Umm79Kxg/14.jpg", + "v_Of2Umm79Kxg/15.jpg", + "v_Of2Umm79Kxg/16.jpg", + "v_Of2Umm79Kxg/17.jpg", + "v_Of2Umm79Kxg/18.jpg", + "v_Of2Umm79Kxg/19.jpg", + "v_Of2Umm79Kxg/20.jpg", + "v_Of2Umm79Kxg/21.jpg", + "v_Of2Umm79Kxg/22.jpg", + "v_Of2Umm79Kxg/23.jpg", + "v_Of2Umm79Kxg/24.jpg", + "v_Of2Umm79Kxg/25.jpg", + "v_Of2Umm79Kxg/26.jpg", + "v_Of2Umm79Kxg/27.jpg", + "v_Of2Umm79Kxg/28.jpg", + "v_Of2Umm79Kxg/29.jpg", + "v_Of2Umm79Kxg/30.jpg", + "v_Of2Umm79Kxg/31.jpg", + "v_Of2Umm79Kxg/32.jpg", + "v_Of2Umm79Kxg/33.jpg", + "v_Of2Umm79Kxg/34.jpg", + "v_Of2Umm79Kxg/35.jpg", + "v_Of2Umm79Kxg/36.jpg", + "v_Of2Umm79Kxg/37.jpg", + "v_Of2Umm79Kxg/38.jpg", + "v_Of2Umm79Kxg/39.jpg", + "v_Of2Umm79Kxg/40.jpg", + "v_Of2Umm79Kxg/41.jpg", + "v_Of2Umm79Kxg/42.jpg", + "v_Of2Umm79Kxg/43.jpg", + "v_Of2Umm79Kxg/44.jpg", + "v_Of2Umm79Kxg/45.jpg", + "v_Of2Umm79Kxg/46.jpg", + "v_Of2Umm79Kxg/47.jpg", + "v_Of2Umm79Kxg/48.jpg", + "v_Of2Umm79Kxg/49.jpg", + "v_Of2Umm79Kxg/50.jpg", + "v_Of2Umm79Kxg/51.jpg", + "v_Of2Umm79Kxg/52.jpg", + "v_Of2Umm79Kxg/53.jpg", + "v_Of2Umm79Kxg/54.jpg", + "v_Of2Umm79Kxg/55.jpg", + "v_Of2Umm79Kxg/56.jpg", + "v_Of2Umm79Kxg/57.jpg", + "v_Of2Umm79Kxg/58.jpg", + "v_Of2Umm79Kxg/59.jpg", + "v_Of2Umm79Kxg/60.jpg", + "v_Of2Umm79Kxg/61.jpg", + "v_Of2Umm79Kxg/62.jpg", + "v_Of2Umm79Kxg/63.jpg" + ], + "prompt": "what is the person in the video doing\nAnswer the question using few words.\n" + }, + "output": { + "text": "loading chain" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/PanoramicFlowEstimate/annotation.json b/Scope-A/S-A-Quick/video/comprehension/PanoramicFlowEstimate/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1f547280b9950327a8230b88564b7aed897aa2b6 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/PanoramicFlowEstimate/annotation.json @@ -0,0 +1,128 @@ +{ + "task": "video optical flow, Panoptic Flow Estimate", + "data_source": "OminiFlow", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "Flow_Omniflow_0143", + "input": { + "images": [ + "images/0143/img1.png", + "images/0143/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0027", + "input": { + "images": [ + "images/0027/img1.png", + "images/0027/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0047", + "input": { + "images": [ + "images/0047/img1.png", + "images/0047/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0016", + "input": { + "images": [ + "images/0016/img1.png", + "images/0016/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0075", + "input": { + "images": [ + "images/0075/img1.png", + "images/0075/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0105", + "input": { + "images": [ + "images/0105/img1.png", + "images/0105/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0044", + "input": { + "images": [ + "images/0044/img1.png", + "images/0044/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0144", + "input": { + "images": [ + "images/0144/img1.png", + "images/0144/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0142", + "input": { + "images": [ + "images/0142/img1.png", + "images/0142/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_Omniflow_0123", + "input": { + "images": [ + "images/0123/img1.png", + "images/0123/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/PersonalCareVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/PersonalCareVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8a0aa286896829b787ac299c13c7261db4a3d5e0 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/PersonalCareVideoCaptioning/annotation.json @@ -0,0 +1,447 @@ +{ + "task": "PersonalCareVideoCaptioning", + "data_source": "k600", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_personalcarevideocaptioning_0315", + "input": { + "video_file_list": [ + "erhyJ9Rfitg_000002_000012/frame_00000.jpg", + "erhyJ9Rfitg_000002_000012/frame_00008.jpg", + "erhyJ9Rfitg_000002_000012/frame_00016.jpg", + "erhyJ9Rfitg_000002_000012/frame_00024.jpg", + "erhyJ9Rfitg_000002_000012/frame_00032.jpg", + "erhyJ9Rfitg_000002_000012/frame_00040.jpg", + "erhyJ9Rfitg_000002_000012/frame_00048.jpg", + "erhyJ9Rfitg_000002_000012/frame_00056.jpg", + "erhyJ9Rfitg_000002_000012/frame_00064.jpg", + "erhyJ9Rfitg_000002_000012/frame_00072.jpg", + "erhyJ9Rfitg_000002_000012/frame_00080.jpg", + "erhyJ9Rfitg_000002_000012/frame_00088.jpg", + "erhyJ9Rfitg_000002_000012/frame_00096.jpg", + "erhyJ9Rfitg_000002_000012/frame_00104.jpg", + "erhyJ9Rfitg_000002_000012/frame_00112.jpg", + "erhyJ9Rfitg_000002_000012/frame_00120.jpg", + "erhyJ9Rfitg_000002_000012/frame_00128.jpg", + "erhyJ9Rfitg_000002_000012/frame_00136.jpg", + "erhyJ9Rfitg_000002_000012/frame_00144.jpg", + "erhyJ9Rfitg_000002_000012/frame_00152.jpg", + "erhyJ9Rfitg_000002_000012/frame_00160.jpg", + "erhyJ9Rfitg_000002_000012/frame_00168.jpg", + "erhyJ9Rfitg_000002_000012/frame_00176.jpg", + "erhyJ9Rfitg_000002_000012/frame_00184.jpg", + "erhyJ9Rfitg_000002_000012/frame_00192.jpg", + "erhyJ9Rfitg_000002_000012/frame_00200.jpg", + "erhyJ9Rfitg_000002_000012/frame_00208.jpg", + "erhyJ9Rfitg_000002_000012/frame_00216.jpg", + "erhyJ9Rfitg_000002_000012/frame_00224.jpg", + "erhyJ9Rfitg_000002_000012/frame_00232.jpg", + "erhyJ9Rfitg_000002_000012/frame_00240.jpg", + "erhyJ9Rfitg_000002_000012/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows a man smoking a pipe." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_0755", + "input": { + "video_file_list": [ + "RfqRFhfgFDQ_000055_000065/frame_00000.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00009.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00018.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00027.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00036.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00045.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00054.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00063.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00072.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00081.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00090.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00099.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00108.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00117.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00126.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00135.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00144.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00153.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00162.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00171.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00180.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00189.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00198.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00207.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00216.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00225.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00234.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00243.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00252.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00261.jpg", + "RfqRFhfgFDQ_000055_000065/frame_00270.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Washing feet is depicted in the video as one man kneels before another and rinses his feet with water, then dries them with a towel." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_0699", + "input": { + "video_file_list": [ + "gmEQR8DQ1yY_000336_000346/frame_00000.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00010.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00020.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00030.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00040.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00050.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00060.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00070.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00080.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00090.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00100.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00110.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00120.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00130.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00140.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00150.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00160.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00170.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00180.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00190.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00200.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00210.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00220.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00230.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00240.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00250.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00260.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00270.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00280.jpg", + "gmEQR8DQ1yY_000336_000346/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Putting on mascara, the woman carefully coats each lash with the wand, ensuring even coverage and separation to achieve a defined and voluminous look." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_1076", + "input": { + "video_file_list": [ + "0_T8Jz14vuA_000219_000229/frame_00000.jpg", + "0_T8Jz14vuA_000219_000229/frame_00009.jpg", + "0_T8Jz14vuA_000219_000229/frame_00018.jpg", + "0_T8Jz14vuA_000219_000229/frame_00027.jpg", + "0_T8Jz14vuA_000219_000229/frame_00036.jpg", + "0_T8Jz14vuA_000219_000229/frame_00045.jpg", + "0_T8Jz14vuA_000219_000229/frame_00054.jpg", + "0_T8Jz14vuA_000219_000229/frame_00063.jpg", + "0_T8Jz14vuA_000219_000229/frame_00072.jpg", + "0_T8Jz14vuA_000219_000229/frame_00081.jpg", + "0_T8Jz14vuA_000219_000229/frame_00090.jpg", + "0_T8Jz14vuA_000219_000229/frame_00099.jpg", + "0_T8Jz14vuA_000219_000229/frame_00108.jpg", + "0_T8Jz14vuA_000219_000229/frame_00117.jpg", + "0_T8Jz14vuA_000219_000229/frame_00126.jpg", + "0_T8Jz14vuA_000219_000229/frame_00135.jpg", + "0_T8Jz14vuA_000219_000229/frame_00144.jpg", + "0_T8Jz14vuA_000219_000229/frame_00153.jpg", + "0_T8Jz14vuA_000219_000229/frame_00162.jpg", + "0_T8Jz14vuA_000219_000229/frame_00171.jpg", + "0_T8Jz14vuA_000219_000229/frame_00180.jpg", + "0_T8Jz14vuA_000219_000229/frame_00189.jpg", + "0_T8Jz14vuA_000219_000229/frame_00198.jpg", + "0_T8Jz14vuA_000219_000229/frame_00207.jpg", + "0_T8Jz14vuA_000219_000229/frame_00216.jpg", + "0_T8Jz14vuA_000219_000229/frame_00225.jpg", + "0_T8Jz14vuA_000219_000229/frame_00234.jpg", + "0_T8Jz14vuA_000219_000229/frame_00243.jpg", + "0_T8Jz14vuA_000219_000229/frame_00252.jpg", + "0_T8Jz14vuA_000219_000229/frame_00261.jpg", + "0_T8Jz14vuA_000219_000229/frame_00270.jpg", + "0_T8Jz14vuA_000219_000229/frame_00279.jpg", + "0_T8Jz14vuA_000219_000229/frame_00288.jpg", + "0_T8Jz14vuA_000219_000229/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Washing feet: In the video, a person scrubs their feet with soap and water to remove dirt and grime, then rinses and dries them." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_1171", + "input": { + "video_file_list": [ + "dQH784Wd-Dk_000001_000011/frame_00000.jpg", + "dQH784Wd-Dk_000001_000011/frame_00006.jpg", + "dQH784Wd-Dk_000001_000011/frame_00012.jpg", + "dQH784Wd-Dk_000001_000011/frame_00018.jpg", + "dQH784Wd-Dk_000001_000011/frame_00024.jpg", + "dQH784Wd-Dk_000001_000011/frame_00030.jpg", + "dQH784Wd-Dk_000001_000011/frame_00036.jpg", + "dQH784Wd-Dk_000001_000011/frame_00042.jpg", + "dQH784Wd-Dk_000001_000011/frame_00048.jpg", + "dQH784Wd-Dk_000001_000011/frame_00054.jpg", + "dQH784Wd-Dk_000001_000011/frame_00060.jpg", + "dQH784Wd-Dk_000001_000011/frame_00066.jpg", + "dQH784Wd-Dk_000001_000011/frame_00072.jpg", + "dQH784Wd-Dk_000001_000011/frame_00078.jpg", + "dQH784Wd-Dk_000001_000011/frame_00084.jpg", + "dQH784Wd-Dk_000001_000011/frame_00090.jpg", + "dQH784Wd-Dk_000001_000011/frame_00096.jpg", + "dQH784Wd-Dk_000001_000011/frame_00102.jpg", + "dQH784Wd-Dk_000001_000011/frame_00108.jpg", + "dQH784Wd-Dk_000001_000011/frame_00114.jpg", + "dQH784Wd-Dk_000001_000011/frame_00120.jpg", + "dQH784Wd-Dk_000001_000011/frame_00126.jpg", + "dQH784Wd-Dk_000001_000011/frame_00132.jpg", + "dQH784Wd-Dk_000001_000011/frame_00138.jpg", + "dQH784Wd-Dk_000001_000011/frame_00144.jpg", + "dQH784Wd-Dk_000001_000011/frame_00150.jpg", + "dQH784Wd-Dk_000001_000011/frame_00156.jpg", + "dQH784Wd-Dk_000001_000011/frame_00162.jpg", + "dQH784Wd-Dk_000001_000011/frame_00168.jpg", + "dQH784Wd-Dk_000001_000011/frame_00174.jpg", + "dQH784Wd-Dk_000001_000011/frame_00180.jpg", + "dQH784Wd-Dk_000001_000011/frame_00186.jpg", + "dQH784Wd-Dk_000001_000011/frame_00192.jpg", + "dQH784Wd-Dk_000001_000011/frame_00198.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a girl brushes her teeth with a pink toothbrush. She rinses her mouth with water from the tap." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_0258", + "input": { + "video_file_list": [ + "liW292G96hs_000078_000088/frame_00000.jpg", + "liW292G96hs_000078_000088/frame_00010.jpg", + "liW292G96hs_000078_000088/frame_00020.jpg", + "liW292G96hs_000078_000088/frame_00030.jpg", + "liW292G96hs_000078_000088/frame_00040.jpg", + "liW292G96hs_000078_000088/frame_00050.jpg", + "liW292G96hs_000078_000088/frame_00060.jpg", + "liW292G96hs_000078_000088/frame_00070.jpg", + "liW292G96hs_000078_000088/frame_00080.jpg", + "liW292G96hs_000078_000088/frame_00090.jpg", + "liW292G96hs_000078_000088/frame_00100.jpg", + "liW292G96hs_000078_000088/frame_00110.jpg", + "liW292G96hs_000078_000088/frame_00120.jpg", + "liW292G96hs_000078_000088/frame_00130.jpg", + "liW292G96hs_000078_000088/frame_00140.jpg", + "liW292G96hs_000078_000088/frame_00150.jpg", + "liW292G96hs_000078_000088/frame_00160.jpg", + "liW292G96hs_000078_000088/frame_00170.jpg", + 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"Vpz3Xxj8ndU_000012_000022/frame_00198.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00207.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00216.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00225.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00234.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00243.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00252.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00261.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00270.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00279.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00288.jpg", + "Vpz3Xxj8ndU_000012_000022/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Washing the baby's head, the person pours water over it and lathers shampoo into the scalp." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_1045", + "input": { + "video_file_list": [ + "h9OvyYd8vZ0_000048_000058/frame_00000.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00010.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00020.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00030.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00040.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00050.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00060.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00070.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00080.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00090.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00100.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00110.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00120.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00130.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00140.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00150.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00160.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00170.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00180.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00190.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00200.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00210.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00220.jpg", + "h9OvyYd8vZ0_000048_000058/frame_00230.jpg", + 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"BsDCgG6FP50_000003_000013/frame_00072.jpg", + "BsDCgG6FP50_000003_000013/frame_00080.jpg", + "BsDCgG6FP50_000003_000013/frame_00088.jpg", + "BsDCgG6FP50_000003_000013/frame_00096.jpg", + "BsDCgG6FP50_000003_000013/frame_00104.jpg", + "BsDCgG6FP50_000003_000013/frame_00112.jpg", + "BsDCgG6FP50_000003_000013/frame_00120.jpg", + "BsDCgG6FP50_000003_000013/frame_00128.jpg", + "BsDCgG6FP50_000003_000013/frame_00136.jpg", + "BsDCgG6FP50_000003_000013/frame_00144.jpg", + "BsDCgG6FP50_000003_000013/frame_00152.jpg", + "BsDCgG6FP50_000003_000013/frame_00160.jpg", + "BsDCgG6FP50_000003_000013/frame_00168.jpg", + "BsDCgG6FP50_000003_000013/frame_00176.jpg", + "BsDCgG6FP50_000003_000013/frame_00184.jpg", + "BsDCgG6FP50_000003_000013/frame_00192.jpg", + "BsDCgG6FP50_000003_000013/frame_00200.jpg", + "BsDCgG6FP50_000003_000013/frame_00208.jpg", + "BsDCgG6FP50_000003_000013/frame_00216.jpg", + "BsDCgG6FP50_000003_000013/frame_00224.jpg", + "BsDCgG6FP50_000003_000013/frame_00232.jpg", + "BsDCgG6FP50_000003_000013/frame_00240.jpg", + "BsDCgG6FP50_000003_000013/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Putting in contact lenses, the video shows a woman using one hand to hold her eye open while placing a contact lens with the other." + } + }, + { + "id": "vc_closeset_personalcarevideocaptioning_0288", + "input": { + "video_file_list": [ + "h8f1ID-UkqE_000513_000523/frame_00000.jpg", + "h8f1ID-UkqE_000513_000523/frame_00009.jpg", + "h8f1ID-UkqE_000513_000523/frame_00018.jpg", + "h8f1ID-UkqE_000513_000523/frame_00027.jpg", + "h8f1ID-UkqE_000513_000523/frame_00036.jpg", + "h8f1ID-UkqE_000513_000523/frame_00045.jpg", + "h8f1ID-UkqE_000513_000523/frame_00054.jpg", + "h8f1ID-UkqE_000513_000523/frame_00063.jpg", + "h8f1ID-UkqE_000513_000523/frame_00072.jpg", + "h8f1ID-UkqE_000513_000523/frame_00081.jpg", + "h8f1ID-UkqE_000513_000523/frame_00090.jpg", + "h8f1ID-UkqE_000513_000523/frame_00099.jpg", + "h8f1ID-UkqE_000513_000523/frame_00108.jpg", + "h8f1ID-UkqE_000513_000523/frame_00117.jpg", + "h8f1ID-UkqE_000513_000523/frame_00126.jpg", + "h8f1ID-UkqE_000513_000523/frame_00135.jpg", + "h8f1ID-UkqE_000513_000523/frame_00144.jpg", + "h8f1ID-UkqE_000513_000523/frame_00153.jpg", + "h8f1ID-UkqE_000513_000523/frame_00162.jpg", + "h8f1ID-UkqE_000513_000523/frame_00171.jpg", + "h8f1ID-UkqE_000513_000523/frame_00180.jpg", + "h8f1ID-UkqE_000513_000523/frame_00189.jpg", + "h8f1ID-UkqE_000513_000523/frame_00198.jpg", + "h8f1ID-UkqE_000513_000523/frame_00207.jpg", + "h8f1ID-UkqE_000513_000523/frame_00216.jpg", + "h8f1ID-UkqE_000513_000523/frame_00225.jpg", + "h8f1ID-UkqE_000513_000523/frame_00234.jpg", + "h8f1ID-UkqE_000513_000523/frame_00243.jpg", + "h8f1ID-UkqE_000513_000523/frame_00252.jpg", + "h8f1ID-UkqE_000513_000523/frame_00261.jpg", + "h8f1ID-UkqE_000513_000523/frame_00270.jpg", + "h8f1ID-UkqE_000513_000523/frame_00279.jpg", + "h8f1ID-UkqE_000513_000523/frame_00288.jpg", + "h8f1ID-UkqE_000513_000523/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Ironing her hair, a woman uses a flat iron and a clip to straighten it, carefully smoothing out kinks and frizz with patience and precision." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/PetsVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/PetsVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..696f596bfc07c98247d90aceee92f6e83c4f002d --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/PetsVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "PetsVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_petsvideoquestionanswering_0038", + "input": { + "video_file_list": [ + "ezGvH3ZzJPs/0.jpg", + "ezGvH3ZzJPs/1.jpg", + "ezGvH3ZzJPs/2.jpg", + "ezGvH3ZzJPs/3.jpg", + "ezGvH3ZzJPs/4.jpg", + "ezGvH3ZzJPs/5.jpg", + "ezGvH3ZzJPs/6.jpg", + "ezGvH3ZzJPs/7.jpg", + "ezGvH3ZzJPs/8.jpg", + "ezGvH3ZzJPs/9.jpg", + "ezGvH3ZzJPs/10.jpg", + "ezGvH3ZzJPs/11.jpg", + "ezGvH3ZzJPs/12.jpg", + "ezGvH3ZzJPs/13.jpg", + "ezGvH3ZzJPs/14.jpg", + "ezGvH3ZzJPs/15.jpg", + "ezGvH3ZzJPs/16.jpg", + "ezGvH3ZzJPs/17.jpg", + "ezGvH3ZzJPs/18.jpg", + "ezGvH3ZzJPs/19.jpg", + "ezGvH3ZzJPs/20.jpg", + "ezGvH3ZzJPs/21.jpg", + "ezGvH3ZzJPs/22.jpg", + "ezGvH3ZzJPs/23.jpg", + "ezGvH3ZzJPs/24.jpg", + "ezGvH3ZzJPs/25.jpg", + "ezGvH3ZzJPs/26.jpg", + "ezGvH3ZzJPs/27.jpg", + "ezGvH3ZzJPs/28.jpg", + "ezGvH3ZzJPs/29.jpg", + "ezGvH3ZzJPs/30.jpg", + "ezGvH3ZzJPs/31.jpg", + "ezGvH3ZzJPs/32.jpg", + "ezGvH3ZzJPs/33.jpg", + "ezGvH3ZzJPs/34.jpg", + "ezGvH3ZzJPs/35.jpg", + "ezGvH3ZzJPs/36.jpg", + "ezGvH3ZzJPs/37.jpg", + "ezGvH3ZzJPs/38.jpg", + "ezGvH3ZzJPs/39.jpg", + "ezGvH3ZzJPs/40.jpg", + "ezGvH3ZzJPs/41.jpg", + "ezGvH3ZzJPs/42.jpg", + "ezGvH3ZzJPs/43.jpg", + "ezGvH3ZzJPs/44.jpg", + "ezGvH3ZzJPs/45.jpg", + "ezGvH3ZzJPs/46.jpg", + "ezGvH3ZzJPs/47.jpg", + "ezGvH3ZzJPs/48.jpg", + "ezGvH3ZzJPs/49.jpg", + "ezGvH3ZzJPs/50.jpg", + "ezGvH3ZzJPs/51.jpg", + "ezGvH3ZzJPs/52.jpg", + "ezGvH3ZzJPs/53.jpg", + "ezGvH3ZzJPs/54.jpg", + "ezGvH3ZzJPs/55.jpg", + "ezGvH3ZzJPs/56.jpg", + "ezGvH3ZzJPs/57.jpg", + "ezGvH3ZzJPs/58.jpg", + "ezGvH3ZzJPs/59.jpg", + "ezGvH3ZzJPs/60.jpg", + "ezGvH3ZzJPs/61.jpg", + "ezGvH3ZzJPs/62.jpg", + "ezGvH3ZzJPs/63.jpg" + ], + "prompt": "Why does Mike Ruiz include a dog in the photoshoot?" + }, + "output": { + "text": "The inclusion of the dog in the photoshoot adds an element of warmth and humanity to Ruiz's work, further enhancing its appeal." + } + }, + { + "id": "vc_closeset_petsvideoquestionanswering_0009", + "input": { + "video_file_list": [ + "sDlows469uY/0.jpg", + "sDlows469uY/1.jpg", 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The visuals then transition to show a horseman leading a horse out of its stable, setting the stage for the instructional content that follows. Beth Vernon appears holding a white horse and starts discussing the topic of warming up. The video includes footage of her riding the horse and performing various stunts to provide practical insights into the warm-up process. Beth shares her opinions and expertise on effective warming-up techniques for horses engaged in show jumping. The video progresses with questions that appear on slides guiding the discussion. The first question addresses the use of studs, and Beth provides her answer while demonstrating their application. Next, the video covers the tack used by Beth, with her offering detailed explanations and demonstrations for better understanding. Another question appears on a slide, focusing on the cooling-down process, and Beth responds by sharing valuable tips and techniques for ensuring the horse's well-being after a show jumping session. Throughout the video, product images associated with Beth Vernon's practices are displayed, giving viewers a visual representation of the equipment and tools discussed. The video concludes with Beth summarizing her insights, ending on a note of expertise and education in the realm of show jumping." + } + }, + { + "id": "vc_closeset_petsvideoquestionanswering_0019", + "input": { + "video_file_list": [ + "95cJd9V96Xc/0.jpg", + "95cJd9V96Xc/1.jpg", + "95cJd9V96Xc/2.jpg", + "95cJd9V96Xc/3.jpg", + "95cJd9V96Xc/4.jpg", + "95cJd9V96Xc/5.jpg", + "95cJd9V96Xc/6.jpg", + "95cJd9V96Xc/7.jpg", + "95cJd9V96Xc/8.jpg", + "95cJd9V96Xc/9.jpg", + "95cJd9V96Xc/10.jpg", + "95cJd9V96Xc/11.jpg", + "95cJd9V96Xc/12.jpg", + "95cJd9V96Xc/13.jpg", + "95cJd9V96Xc/14.jpg", + "95cJd9V96Xc/15.jpg", + "95cJd9V96Xc/16.jpg", + "95cJd9V96Xc/17.jpg", + "95cJd9V96Xc/18.jpg", + "95cJd9V96Xc/19.jpg", + "95cJd9V96Xc/20.jpg", + "95cJd9V96Xc/21.jpg", + "95cJd9V96Xc/22.jpg", + "95cJd9V96Xc/23.jpg", + "95cJd9V96Xc/24.jpg", + "95cJd9V96Xc/25.jpg", + "95cJd9V96Xc/26.jpg", + "95cJd9V96Xc/27.jpg", + "95cJd9V96Xc/28.jpg", + "95cJd9V96Xc/29.jpg", + "95cJd9V96Xc/30.jpg", + "95cJd9V96Xc/31.jpg", + "95cJd9V96Xc/32.jpg", + "95cJd9V96Xc/33.jpg", + "95cJd9V96Xc/34.jpg", + "95cJd9V96Xc/35.jpg", + "95cJd9V96Xc/36.jpg", + "95cJd9V96Xc/37.jpg", + "95cJd9V96Xc/38.jpg", + "95cJd9V96Xc/39.jpg", + "95cJd9V96Xc/40.jpg", + "95cJd9V96Xc/41.jpg", + "95cJd9V96Xc/42.jpg", + "95cJd9V96Xc/43.jpg", + "95cJd9V96Xc/44.jpg", + "95cJd9V96Xc/45.jpg", + "95cJd9V96Xc/46.jpg", + "95cJd9V96Xc/47.jpg", + "95cJd9V96Xc/48.jpg", + "95cJd9V96Xc/49.jpg", + "95cJd9V96Xc/50.jpg", + "95cJd9V96Xc/51.jpg", + "95cJd9V96Xc/52.jpg", + "95cJd9V96Xc/53.jpg", + "95cJd9V96Xc/54.jpg", + "95cJd9V96Xc/55.jpg", + "95cJd9V96Xc/56.jpg", + "95cJd9V96Xc/57.jpg", + "95cJd9V96Xc/58.jpg", + "95cJd9V96Xc/59.jpg", + "95cJd9V96Xc/60.jpg", + "95cJd9V96Xc/61.jpg", + "95cJd9V96Xc/62.jpg", + "95cJd9V96Xc/63.jpg" + ], + "prompt": "Why does the presenter share the code 'GTTSD' with the audience?" + }, + "output": { + "text": "The presenter shares the code 'GTTSD' to provide viewers with an exclusive 100% off discount." + } + }, + { + "id": "vc_closeset_petsvideoquestionanswering_0024", + "input": { + "video_file_list": [ + "5sMkIaLpMWw/0.jpg", + "5sMkIaLpMWw/1.jpg", + "5sMkIaLpMWw/2.jpg", + "5sMkIaLpMWw/3.jpg", + "5sMkIaLpMWw/4.jpg", + "5sMkIaLpMWw/5.jpg", + "5sMkIaLpMWw/6.jpg", + "5sMkIaLpMWw/7.jpg", + "5sMkIaLpMWw/8.jpg", + "5sMkIaLpMWw/9.jpg", + "5sMkIaLpMWw/10.jpg", + "5sMkIaLpMWw/11.jpg", + "5sMkIaLpMWw/12.jpg", + "5sMkIaLpMWw/13.jpg", + "5sMkIaLpMWw/14.jpg", + "5sMkIaLpMWw/15.jpg", + "5sMkIaLpMWw/16.jpg", + "5sMkIaLpMWw/17.jpg", + "5sMkIaLpMWw/18.jpg", + "5sMkIaLpMWw/19.jpg", + "5sMkIaLpMWw/20.jpg", + "5sMkIaLpMWw/21.jpg", + "5sMkIaLpMWw/22.jpg", + "5sMkIaLpMWw/23.jpg", + "5sMkIaLpMWw/24.jpg", + "5sMkIaLpMWw/25.jpg", + "5sMkIaLpMWw/26.jpg", + "5sMkIaLpMWw/27.jpg", + "5sMkIaLpMWw/28.jpg", + "5sMkIaLpMWw/29.jpg", + "5sMkIaLpMWw/30.jpg", + "5sMkIaLpMWw/31.jpg", + "5sMkIaLpMWw/32.jpg", + "5sMkIaLpMWw/33.jpg", + "5sMkIaLpMWw/34.jpg", + "5sMkIaLpMWw/35.jpg", + "5sMkIaLpMWw/36.jpg", + "5sMkIaLpMWw/37.jpg", + "5sMkIaLpMWw/38.jpg", + "5sMkIaLpMWw/39.jpg", + "5sMkIaLpMWw/40.jpg", + "5sMkIaLpMWw/41.jpg", + "5sMkIaLpMWw/42.jpg", + "5sMkIaLpMWw/43.jpg", + "5sMkIaLpMWw/44.jpg", + "5sMkIaLpMWw/45.jpg", + "5sMkIaLpMWw/46.jpg", + "5sMkIaLpMWw/47.jpg", + "5sMkIaLpMWw/48.jpg", + "5sMkIaLpMWw/49.jpg", + "5sMkIaLpMWw/50.jpg", + "5sMkIaLpMWw/51.jpg", + "5sMkIaLpMWw/52.jpg", + "5sMkIaLpMWw/53.jpg", + "5sMkIaLpMWw/54.jpg", + "5sMkIaLpMWw/55.jpg", + "5sMkIaLpMWw/56.jpg", + "5sMkIaLpMWw/57.jpg", + "5sMkIaLpMWw/58.jpg", + "5sMkIaLpMWw/59.jpg", + "5sMkIaLpMWw/60.jpg", + "5sMkIaLpMWw/61.jpg", + "5sMkIaLpMWw/62.jpg", + "5sMkIaLpMWw/63.jpg" + ], + "prompt": "Describe the sequence of events in the video." + }, + "output": { + "text": "The video begins with the narrator holding an animal and recounting a rescue story. They explain finding Bagel and her siblings in shrubs, discovered by a woman walking her dog. The narrator, who was out of town, received a call about it and the next day took the animals to a location 45 minutes away to warm them in a car. Bagel, the smallest, faced challenges and was put on a rigorous feeding schedule. Eventually, Bagel started eating and drinking on her own. The narrator shares the animals' weights and their close bond. The video concludes with the animals finding new homes." + } + }, + { + "id": "vc_closeset_petsvideoquestionanswering_0043", + "input": { + "video_file_list": [ + "U3LFZjkLIUs/0.jpg", + "U3LFZjkLIUs/1.jpg", + "U3LFZjkLIUs/2.jpg", + "U3LFZjkLIUs/3.jpg", + "U3LFZjkLIUs/4.jpg", + "U3LFZjkLIUs/5.jpg", + "U3LFZjkLIUs/6.jpg", + "U3LFZjkLIUs/7.jpg", + "U3LFZjkLIUs/8.jpg", + "U3LFZjkLIUs/9.jpg", + "U3LFZjkLIUs/10.jpg", + "U3LFZjkLIUs/11.jpg", + "U3LFZjkLIUs/12.jpg", + "U3LFZjkLIUs/13.jpg", + "U3LFZjkLIUs/14.jpg", + "U3LFZjkLIUs/15.jpg", + "U3LFZjkLIUs/16.jpg", + "U3LFZjkLIUs/17.jpg", + "U3LFZjkLIUs/18.jpg", + "U3LFZjkLIUs/19.jpg", + "U3LFZjkLIUs/20.jpg", + "U3LFZjkLIUs/21.jpg", + "U3LFZjkLIUs/22.jpg", + "U3LFZjkLIUs/23.jpg", + "U3LFZjkLIUs/24.jpg", + "U3LFZjkLIUs/25.jpg", + "U3LFZjkLIUs/26.jpg", + "U3LFZjkLIUs/27.jpg", + "U3LFZjkLIUs/28.jpg", + "U3LFZjkLIUs/29.jpg", + "U3LFZjkLIUs/30.jpg", + "U3LFZjkLIUs/31.jpg", + "U3LFZjkLIUs/32.jpg", + "U3LFZjkLIUs/33.jpg", + "U3LFZjkLIUs/34.jpg", + 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a/Scope-A/S-A-Quick/video/comprehension/PetsVideoRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/PetsVideoRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8327d37caf659a0c422a2dbb6ca4a62808f381f2 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/PetsVideoRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "PetsVideoRecognition", + "data_source": "mmbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_petsvideorecognition_0044", + "input": { + "video_file_list": [ + "SLEBlJ9DTAI/0.jpg", + "SLEBlJ9DTAI/1.jpg", + "SLEBlJ9DTAI/2.jpg", + "SLEBlJ9DTAI/3.jpg", + "SLEBlJ9DTAI/4.jpg", + "SLEBlJ9DTAI/5.jpg", + "SLEBlJ9DTAI/6.jpg", + "SLEBlJ9DTAI/7.jpg", + "SLEBlJ9DTAI/8.jpg", + "SLEBlJ9DTAI/9.jpg", + "SLEBlJ9DTAI/10.jpg", + "SLEBlJ9DTAI/11.jpg", + "SLEBlJ9DTAI/12.jpg", + "SLEBlJ9DTAI/13.jpg", + 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"SLEBlJ9DTAI/55.jpg", + "SLEBlJ9DTAI/56.jpg", + "SLEBlJ9DTAI/57.jpg", + "SLEBlJ9DTAI/58.jpg", + "SLEBlJ9DTAI/59.jpg", + "SLEBlJ9DTAI/60.jpg", + "SLEBlJ9DTAI/61.jpg", + "SLEBlJ9DTAI/62.jpg", + "SLEBlJ9DTAI/63.jpg" + ], + "prompt": "What are the critters eating in the video?" + }, + "output": { + "text": "The cats are eating salmon." + } + }, + { + "id": "vc_closeset_petsvideorecognition_0049", + "input": { + "video_file_list": [ + "BK65XwvEdh0/0.jpg", + "BK65XwvEdh0/1.jpg", + "BK65XwvEdh0/2.jpg", + "BK65XwvEdh0/3.jpg", + "BK65XwvEdh0/4.jpg", + "BK65XwvEdh0/5.jpg", + "BK65XwvEdh0/6.jpg", + "BK65XwvEdh0/7.jpg", + "BK65XwvEdh0/8.jpg", + "BK65XwvEdh0/9.jpg", + "BK65XwvEdh0/10.jpg", + "BK65XwvEdh0/11.jpg", + "BK65XwvEdh0/12.jpg", + "BK65XwvEdh0/13.jpg", + "BK65XwvEdh0/14.jpg", + "BK65XwvEdh0/15.jpg", + "BK65XwvEdh0/16.jpg", + "BK65XwvEdh0/17.jpg", + "BK65XwvEdh0/18.jpg", + "BK65XwvEdh0/19.jpg", + "BK65XwvEdh0/20.jpg", + "BK65XwvEdh0/21.jpg", + "BK65XwvEdh0/22.jpg", + "BK65XwvEdh0/23.jpg", + 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up in the video?" + }, + "output": { + "text": "Golden retriever and German shepherd" + } + }, + { + "id": "vc_closeset_petsvideorecognition_0019", + "input": { + "video_file_list": [ + "SGxBl_dpFZg/0.jpg", + "SGxBl_dpFZg/1.jpg", + "SGxBl_dpFZg/2.jpg", + "SGxBl_dpFZg/3.jpg", + "SGxBl_dpFZg/4.jpg", + "SGxBl_dpFZg/5.jpg", + "SGxBl_dpFZg/6.jpg", + "SGxBl_dpFZg/7.jpg", + "SGxBl_dpFZg/8.jpg", + "SGxBl_dpFZg/9.jpg", + "SGxBl_dpFZg/10.jpg", + "SGxBl_dpFZg/11.jpg", + "SGxBl_dpFZg/12.jpg", + "SGxBl_dpFZg/13.jpg", + "SGxBl_dpFZg/14.jpg", + "SGxBl_dpFZg/15.jpg", + "SGxBl_dpFZg/16.jpg", + "SGxBl_dpFZg/17.jpg", + "SGxBl_dpFZg/18.jpg", + "SGxBl_dpFZg/19.jpg", + "SGxBl_dpFZg/20.jpg", + "SGxBl_dpFZg/21.jpg", + "SGxBl_dpFZg/22.jpg", + "SGxBl_dpFZg/23.jpg", + "SGxBl_dpFZg/24.jpg", + "SGxBl_dpFZg/25.jpg", + "SGxBl_dpFZg/26.jpg", + "SGxBl_dpFZg/27.jpg", + "SGxBl_dpFZg/28.jpg", + "SGxBl_dpFZg/29.jpg", + "SGxBl_dpFZg/30.jpg", + "SGxBl_dpFZg/31.jpg", + "SGxBl_dpFZg/32.jpg", + "SGxBl_dpFZg/33.jpg", + "SGxBl_dpFZg/34.jpg", + "SGxBl_dpFZg/35.jpg", + "SGxBl_dpFZg/36.jpg", + "SGxBl_dpFZg/37.jpg", + "SGxBl_dpFZg/38.jpg", + "SGxBl_dpFZg/39.jpg", + "SGxBl_dpFZg/40.jpg", + "SGxBl_dpFZg/41.jpg", + "SGxBl_dpFZg/42.jpg", + "SGxBl_dpFZg/43.jpg", + "SGxBl_dpFZg/44.jpg", + "SGxBl_dpFZg/45.jpg", + "SGxBl_dpFZg/46.jpg", + "SGxBl_dpFZg/47.jpg", + "SGxBl_dpFZg/48.jpg", + "SGxBl_dpFZg/49.jpg", + "SGxBl_dpFZg/50.jpg", + "SGxBl_dpFZg/51.jpg", + "SGxBl_dpFZg/52.jpg", + "SGxBl_dpFZg/53.jpg", + "SGxBl_dpFZg/54.jpg", + "SGxBl_dpFZg/55.jpg", + "SGxBl_dpFZg/56.jpg", + "SGxBl_dpFZg/57.jpg", + "SGxBl_dpFZg/58.jpg", + "SGxBl_dpFZg/59.jpg", + "SGxBl_dpFZg/60.jpg", + "SGxBl_dpFZg/61.jpg", + "SGxBl_dpFZg/62.jpg", + "SGxBl_dpFZg/63.jpg" + ], + "prompt": "What is the color of the dogs?" + }, + "output": { + "text": "Yellow" + } + }, + { + "id": "vc_closeset_petsvideorecognition_0033", + "input": { + "video_file_list": [ + "GHP6xuVmpuU/0.jpg", + "GHP6xuVmpuU/1.jpg", + "GHP6xuVmpuU/2.jpg", + "GHP6xuVmpuU/3.jpg", + 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+ "GHP6xuVmpuU/46.jpg", + "GHP6xuVmpuU/47.jpg", + "GHP6xuVmpuU/48.jpg", + "GHP6xuVmpuU/49.jpg", + "GHP6xuVmpuU/50.jpg", + "GHP6xuVmpuU/51.jpg", + "GHP6xuVmpuU/52.jpg", + "GHP6xuVmpuU/53.jpg", + "GHP6xuVmpuU/54.jpg", + "GHP6xuVmpuU/55.jpg", + "GHP6xuVmpuU/56.jpg", + "GHP6xuVmpuU/57.jpg", + "GHP6xuVmpuU/58.jpg", + "GHP6xuVmpuU/59.jpg", + "GHP6xuVmpuU/60.jpg", + "GHP6xuVmpuU/61.jpg", + "GHP6xuVmpuU/62.jpg", + "GHP6xuVmpuU/63.jpg" + ], + "prompt": "What are the main animals featured in the video?" + }, + "output": { + "text": "Tigers" + } + }, + { + "id": "vc_closeset_petsvideorecognition_0016", + "input": { + "video_file_list": [ + "ek9ITL51gGI/0.jpg", + "ek9ITL51gGI/1.jpg", + "ek9ITL51gGI/2.jpg", + "ek9ITL51gGI/3.jpg", + "ek9ITL51gGI/4.jpg", + "ek9ITL51gGI/5.jpg", + "ek9ITL51gGI/6.jpg", + "ek9ITL51gGI/7.jpg", + "ek9ITL51gGI/8.jpg", + "ek9ITL51gGI/9.jpg", + "ek9ITL51gGI/10.jpg", + "ek9ITL51gGI/11.jpg", + "ek9ITL51gGI/12.jpg", + "ek9ITL51gGI/13.jpg", + "ek9ITL51gGI/14.jpg", + "ek9ITL51gGI/15.jpg", + "ek9ITL51gGI/16.jpg", + "ek9ITL51gGI/17.jpg", + "ek9ITL51gGI/18.jpg", + "ek9ITL51gGI/19.jpg", + "ek9ITL51gGI/20.jpg", + "ek9ITL51gGI/21.jpg", + "ek9ITL51gGI/22.jpg", + "ek9ITL51gGI/23.jpg", + "ek9ITL51gGI/24.jpg", + "ek9ITL51gGI/25.jpg", + "ek9ITL51gGI/26.jpg", + "ek9ITL51gGI/27.jpg", + "ek9ITL51gGI/28.jpg", + "ek9ITL51gGI/29.jpg", + "ek9ITL51gGI/30.jpg", + "ek9ITL51gGI/31.jpg", + "ek9ITL51gGI/32.jpg", + "ek9ITL51gGI/33.jpg", + "ek9ITL51gGI/34.jpg", + "ek9ITL51gGI/35.jpg", + "ek9ITL51gGI/36.jpg", + "ek9ITL51gGI/37.jpg", + "ek9ITL51gGI/38.jpg", + "ek9ITL51gGI/39.jpg", + "ek9ITL51gGI/40.jpg", + "ek9ITL51gGI/41.jpg", + "ek9ITL51gGI/42.jpg", + "ek9ITL51gGI/43.jpg", + "ek9ITL51gGI/44.jpg", + "ek9ITL51gGI/45.jpg", + "ek9ITL51gGI/46.jpg", + "ek9ITL51gGI/47.jpg", + "ek9ITL51gGI/48.jpg", + "ek9ITL51gGI/49.jpg", + "ek9ITL51gGI/50.jpg", + "ek9ITL51gGI/51.jpg", + "ek9ITL51gGI/52.jpg", + "ek9ITL51gGI/53.jpg", + "ek9ITL51gGI/54.jpg", + "ek9ITL51gGI/55.jpg", + "ek9ITL51gGI/56.jpg", + "ek9ITL51gGI/57.jpg", + "ek9ITL51gGI/58.jpg", + "ek9ITL51gGI/59.jpg", + "ek9ITL51gGI/60.jpg", + "ek9ITL51gGI/61.jpg", + "ek9ITL51gGI/62.jpg", + "ek9ITL51gGI/63.jpg" + ], + "prompt": "Why do geckos lick their eyes with their tongues from time to time?" + }, + "output": { + "text": "This is because it removes the dust that gets into the gecko's eyes." + } + }, + { + "id": "vc_closeset_petsvideorecognition_0025", + "input": { + "video_file_list": [ + "ek9ITL51gGI/0.jpg", + "ek9ITL51gGI/1.jpg", + "ek9ITL51gGI/2.jpg", + "ek9ITL51gGI/3.jpg", + "ek9ITL51gGI/4.jpg", + "ek9ITL51gGI/5.jpg", + "ek9ITL51gGI/6.jpg", + "ek9ITL51gGI/7.jpg", + "ek9ITL51gGI/8.jpg", + "ek9ITL51gGI/9.jpg", + "ek9ITL51gGI/10.jpg", + "ek9ITL51gGI/11.jpg", + "ek9ITL51gGI/12.jpg", + "ek9ITL51gGI/13.jpg", + "ek9ITL51gGI/14.jpg", + "ek9ITL51gGI/15.jpg", + "ek9ITL51gGI/16.jpg", + "ek9ITL51gGI/17.jpg", + "ek9ITL51gGI/18.jpg", + "ek9ITL51gGI/19.jpg", + "ek9ITL51gGI/20.jpg", + "ek9ITL51gGI/21.jpg", + "ek9ITL51gGI/22.jpg", + "ek9ITL51gGI/23.jpg", + "ek9ITL51gGI/24.jpg", + "ek9ITL51gGI/25.jpg", + "ek9ITL51gGI/26.jpg", + "ek9ITL51gGI/27.jpg", + "ek9ITL51gGI/28.jpg", + "ek9ITL51gGI/29.jpg", + "ek9ITL51gGI/30.jpg", + "ek9ITL51gGI/31.jpg", + "ek9ITL51gGI/32.jpg", + "ek9ITL51gGI/33.jpg", + "ek9ITL51gGI/34.jpg", + "ek9ITL51gGI/35.jpg", + "ek9ITL51gGI/36.jpg", + "ek9ITL51gGI/37.jpg", + "ek9ITL51gGI/38.jpg", + "ek9ITL51gGI/39.jpg", + "ek9ITL51gGI/40.jpg", + "ek9ITL51gGI/41.jpg", + "ek9ITL51gGI/42.jpg", + "ek9ITL51gGI/43.jpg", + "ek9ITL51gGI/44.jpg", + "ek9ITL51gGI/45.jpg", + "ek9ITL51gGI/46.jpg", + "ek9ITL51gGI/47.jpg", + "ek9ITL51gGI/48.jpg", + "ek9ITL51gGI/49.jpg", + "ek9ITL51gGI/50.jpg", + "ek9ITL51gGI/51.jpg", + "ek9ITL51gGI/52.jpg", + "ek9ITL51gGI/53.jpg", + "ek9ITL51gGI/54.jpg", + "ek9ITL51gGI/55.jpg", + "ek9ITL51gGI/56.jpg", + "ek9ITL51gGI/57.jpg", + "ek9ITL51gGI/58.jpg", + "ek9ITL51gGI/59.jpg", + "ek9ITL51gGI/60.jpg", + "ek9ITL51gGI/61.jpg", + "ek9ITL51gGI/62.jpg", + "ek9ITL51gGI/63.jpg" + ], + "prompt": "Why doesn't a gecko fall off a smooth glass window, according to the video?" + }, + "output": { + "text": "This is because the gecko has millions of tiny hairs on its paws, by which it can firmly grip the wall." + } + }, + { + "id": "vc_closeset_petsvideorecognition_0002", + "input": { + "video_file_list": [ + "TuyZRvvTLiI/0.jpg", + "TuyZRvvTLiI/1.jpg", + "TuyZRvvTLiI/2.jpg", + "TuyZRvvTLiI/3.jpg", + "TuyZRvvTLiI/4.jpg", + "TuyZRvvTLiI/5.jpg", + "TuyZRvvTLiI/6.jpg", + "TuyZRvvTLiI/7.jpg", + "TuyZRvvTLiI/8.jpg", + "TuyZRvvTLiI/9.jpg", + "TuyZRvvTLiI/10.jpg", + "TuyZRvvTLiI/11.jpg", + "TuyZRvvTLiI/12.jpg", + "TuyZRvvTLiI/13.jpg", + "TuyZRvvTLiI/14.jpg", + "TuyZRvvTLiI/15.jpg", + "TuyZRvvTLiI/16.jpg", + "TuyZRvvTLiI/17.jpg", + "TuyZRvvTLiI/18.jpg", + "TuyZRvvTLiI/19.jpg", + "TuyZRvvTLiI/20.jpg", + "TuyZRvvTLiI/21.jpg", + "TuyZRvvTLiI/22.jpg", + "TuyZRvvTLiI/23.jpg", + "TuyZRvvTLiI/24.jpg", + "TuyZRvvTLiI/25.jpg", + "TuyZRvvTLiI/26.jpg", + "TuyZRvvTLiI/27.jpg", + "TuyZRvvTLiI/28.jpg", + "TuyZRvvTLiI/29.jpg", + "TuyZRvvTLiI/30.jpg", + "TuyZRvvTLiI/31.jpg", + "TuyZRvvTLiI/32.jpg", + "TuyZRvvTLiI/33.jpg", + "TuyZRvvTLiI/34.jpg", + "TuyZRvvTLiI/35.jpg", + "TuyZRvvTLiI/36.jpg", + "TuyZRvvTLiI/37.jpg", + "TuyZRvvTLiI/38.jpg", + "TuyZRvvTLiI/39.jpg", + "TuyZRvvTLiI/40.jpg", + "TuyZRvvTLiI/41.jpg", + "TuyZRvvTLiI/42.jpg", + "TuyZRvvTLiI/43.jpg", + "TuyZRvvTLiI/44.jpg", + "TuyZRvvTLiI/45.jpg", + "TuyZRvvTLiI/46.jpg", + "TuyZRvvTLiI/47.jpg", + "TuyZRvvTLiI/48.jpg", + "TuyZRvvTLiI/49.jpg", + "TuyZRvvTLiI/50.jpg", + "TuyZRvvTLiI/51.jpg", + "TuyZRvvTLiI/52.jpg", + "TuyZRvvTLiI/53.jpg", + "TuyZRvvTLiI/54.jpg", + "TuyZRvvTLiI/55.jpg", + "TuyZRvvTLiI/56.jpg", + "TuyZRvvTLiI/57.jpg", + "TuyZRvvTLiI/58.jpg", + "TuyZRvvTLiI/59.jpg", + "TuyZRvvTLiI/60.jpg", + "TuyZRvvTLiI/61.jpg", + "TuyZRvvTLiI/62.jpg", + "TuyZRvvTLiI/63.jpg" + ], + "prompt": "How many different cats showed up in the\u00a0end\u00a0of\u00a0the video?" + }, + "output": { + "text": "5" + } + }, + { + "id": "vc_closeset_petsvideorecognition_0037", + "input": { + "video_file_list": [ + "10sJJPKv2mc/0.jpg", + "10sJJPKv2mc/1.jpg", + "10sJJPKv2mc/2.jpg", + "10sJJPKv2mc/3.jpg", + "10sJJPKv2mc/4.jpg", + "10sJJPKv2mc/5.jpg", + "10sJJPKv2mc/6.jpg", + "10sJJPKv2mc/7.jpg", + "10sJJPKv2mc/8.jpg", + "10sJJPKv2mc/9.jpg", + "10sJJPKv2mc/10.jpg", + "10sJJPKv2mc/11.jpg", + "10sJJPKv2mc/12.jpg", + "10sJJPKv2mc/13.jpg", + "10sJJPKv2mc/14.jpg", + "10sJJPKv2mc/15.jpg", + "10sJJPKv2mc/16.jpg", + "10sJJPKv2mc/17.jpg", + "10sJJPKv2mc/18.jpg", + "10sJJPKv2mc/19.jpg", + "10sJJPKv2mc/20.jpg", + "10sJJPKv2mc/21.jpg", + "10sJJPKv2mc/22.jpg", + "10sJJPKv2mc/23.jpg", + "10sJJPKv2mc/24.jpg", + "10sJJPKv2mc/25.jpg", + "10sJJPKv2mc/26.jpg", + "10sJJPKv2mc/27.jpg", + "10sJJPKv2mc/28.jpg", + "10sJJPKv2mc/29.jpg", + "10sJJPKv2mc/30.jpg", + "10sJJPKv2mc/31.jpg", + "10sJJPKv2mc/32.jpg", + "10sJJPKv2mc/33.jpg", + "10sJJPKv2mc/34.jpg", + "10sJJPKv2mc/35.jpg", + "10sJJPKv2mc/36.jpg", + "10sJJPKv2mc/37.jpg", + "10sJJPKv2mc/38.jpg", + "10sJJPKv2mc/39.jpg", + "10sJJPKv2mc/40.jpg", + "10sJJPKv2mc/41.jpg", + "10sJJPKv2mc/42.jpg", + "10sJJPKv2mc/43.jpg", + "10sJJPKv2mc/44.jpg", + "10sJJPKv2mc/45.jpg", + "10sJJPKv2mc/46.jpg", + "10sJJPKv2mc/47.jpg", + "10sJJPKv2mc/48.jpg", + "10sJJPKv2mc/49.jpg", + "10sJJPKv2mc/50.jpg", + "10sJJPKv2mc/51.jpg", + "10sJJPKv2mc/52.jpg", + "10sJJPKv2mc/53.jpg", + "10sJJPKv2mc/54.jpg", + "10sJJPKv2mc/55.jpg", + "10sJJPKv2mc/56.jpg", + "10sJJPKv2mc/57.jpg", + "10sJJPKv2mc/58.jpg", + "10sJJPKv2mc/59.jpg", + "10sJJPKv2mc/60.jpg", + "10sJJPKv2mc/61.jpg", + "10sJJPKv2mc/62.jpg", + "10sJJPKv2mc/63.jpg" + ], + "prompt": "What was the possible emotion of the first dog when it could not get the food?" + }, + "output": { + "text": "Frustration and impatience." + } + }, + { + "id": "vc_closeset_petsvideorecognition_0036", + "input": { + "video_file_list": [ + "BK65XwvEdh0/0.jpg", + "BK65XwvEdh0/1.jpg", + "BK65XwvEdh0/2.jpg", + "BK65XwvEdh0/3.jpg", + "BK65XwvEdh0/4.jpg", + "BK65XwvEdh0/5.jpg", + "BK65XwvEdh0/6.jpg", + "BK65XwvEdh0/7.jpg", + "BK65XwvEdh0/8.jpg", + "BK65XwvEdh0/9.jpg", + "BK65XwvEdh0/10.jpg", + "BK65XwvEdh0/11.jpg", + "BK65XwvEdh0/12.jpg", + "BK65XwvEdh0/13.jpg", + "BK65XwvEdh0/14.jpg", + "BK65XwvEdh0/15.jpg", + "BK65XwvEdh0/16.jpg", + "BK65XwvEdh0/17.jpg", + "BK65XwvEdh0/18.jpg", + "BK65XwvEdh0/19.jpg", + "BK65XwvEdh0/20.jpg", + "BK65XwvEdh0/21.jpg", + "BK65XwvEdh0/22.jpg", + "BK65XwvEdh0/23.jpg", + "BK65XwvEdh0/24.jpg", + "BK65XwvEdh0/25.jpg", + "BK65XwvEdh0/26.jpg", + "BK65XwvEdh0/27.jpg", + "BK65XwvEdh0/28.jpg", + "BK65XwvEdh0/29.jpg", + "BK65XwvEdh0/30.jpg", + "BK65XwvEdh0/31.jpg", + "BK65XwvEdh0/32.jpg", + "BK65XwvEdh0/33.jpg", + "BK65XwvEdh0/34.jpg", + "BK65XwvEdh0/35.jpg", + "BK65XwvEdh0/36.jpg", + "BK65XwvEdh0/37.jpg", + "BK65XwvEdh0/38.jpg", + "BK65XwvEdh0/39.jpg", + "BK65XwvEdh0/40.jpg", + "BK65XwvEdh0/41.jpg", + "BK65XwvEdh0/42.jpg", + "BK65XwvEdh0/43.jpg", + "BK65XwvEdh0/44.jpg", + "BK65XwvEdh0/45.jpg", + "BK65XwvEdh0/46.jpg", + "BK65XwvEdh0/47.jpg", + "BK65XwvEdh0/48.jpg", + "BK65XwvEdh0/49.jpg", + "BK65XwvEdh0/50.jpg", + "BK65XwvEdh0/51.jpg", + "BK65XwvEdh0/52.jpg", + "BK65XwvEdh0/53.jpg", + "BK65XwvEdh0/54.jpg", + "BK65XwvEdh0/55.jpg", + "BK65XwvEdh0/56.jpg", + "BK65XwvEdh0/57.jpg", + "BK65XwvEdh0/58.jpg", + "BK65XwvEdh0/59.jpg", + "BK65XwvEdh0/60.jpg", + "BK65XwvEdh0/61.jpg", + "BK65XwvEdh0/62.jpg", + "BK65XwvEdh0/63.jpg" + ], + "prompt": "What are the dogs doing in the video?" + }, + "output": { + "text": "They\u00a0are\u00a0smelling\u00a0and playing with each\u00a0other." + } + }, + { + "id": "vc_closeset_petsvideorecognition_0021", + "input": { + "video_file_list": [ + "q3uXXh1sHcI/0.jpg", + "q3uXXh1sHcI/1.jpg", + "q3uXXh1sHcI/2.jpg", + "q3uXXh1sHcI/3.jpg", + "q3uXXh1sHcI/4.jpg", + "q3uXXh1sHcI/5.jpg", + "q3uXXh1sHcI/6.jpg", + "q3uXXh1sHcI/7.jpg", + "q3uXXh1sHcI/8.jpg", + "q3uXXh1sHcI/9.jpg", + "q3uXXh1sHcI/10.jpg", + "q3uXXh1sHcI/11.jpg", + "q3uXXh1sHcI/12.jpg", + "q3uXXh1sHcI/13.jpg", + "q3uXXh1sHcI/14.jpg", + "q3uXXh1sHcI/15.jpg", + "q3uXXh1sHcI/16.jpg", + "q3uXXh1sHcI/17.jpg", + "q3uXXh1sHcI/18.jpg", + "q3uXXh1sHcI/19.jpg", + "q3uXXh1sHcI/20.jpg", + "q3uXXh1sHcI/21.jpg", + "q3uXXh1sHcI/22.jpg", + "q3uXXh1sHcI/23.jpg", + "q3uXXh1sHcI/24.jpg", + "q3uXXh1sHcI/25.jpg", + "q3uXXh1sHcI/26.jpg", + "q3uXXh1sHcI/27.jpg", + "q3uXXh1sHcI/28.jpg", + "q3uXXh1sHcI/29.jpg", + "q3uXXh1sHcI/30.jpg", + "q3uXXh1sHcI/31.jpg", + "q3uXXh1sHcI/32.jpg", + "q3uXXh1sHcI/33.jpg", + "q3uXXh1sHcI/34.jpg", + "q3uXXh1sHcI/35.jpg", + "q3uXXh1sHcI/36.jpg", + "q3uXXh1sHcI/37.jpg", + "q3uXXh1sHcI/38.jpg", + "q3uXXh1sHcI/39.jpg", + "q3uXXh1sHcI/40.jpg", + "q3uXXh1sHcI/41.jpg", + "q3uXXh1sHcI/42.jpg", + "q3uXXh1sHcI/43.jpg", + "q3uXXh1sHcI/44.jpg", + "q3uXXh1sHcI/45.jpg", + "q3uXXh1sHcI/46.jpg", + "q3uXXh1sHcI/47.jpg", + "q3uXXh1sHcI/48.jpg", + "q3uXXh1sHcI/49.jpg", + "q3uXXh1sHcI/50.jpg", + "q3uXXh1sHcI/51.jpg", + "q3uXXh1sHcI/52.jpg", + "q3uXXh1sHcI/53.jpg", + "q3uXXh1sHcI/54.jpg", + "q3uXXh1sHcI/55.jpg", + "q3uXXh1sHcI/56.jpg", + "q3uXXh1sHcI/57.jpg", + "q3uXXh1sHcI/58.jpg", + "q3uXXh1sHcI/59.jpg", + "q3uXXh1sHcI/60.jpg", + "q3uXXh1sHcI/61.jpg", + "q3uXXh1sHcI/62.jpg", + "q3uXXh1sHcI/63.jpg" + ], + "prompt": "Can the critters in the video swim?" + }, + "output": { + "text": "Yes, they can. And they also can dive." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/RelationMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/RelationMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5e5d00612cf61b1ad18180aee6705465431aa143 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/RelationMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm0817", + "input": { + "video_folder": "./images/0817", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 4 1 3 5." + }, + "output": {} + }, + { + "id": "vm0363", + "input": { + "video_folder": "./images/0363", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 3 2 4 1." + }, + "output": {} + }, + { + "id": "vm0826", + "input": { + "video_folder": "./images/0826", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 3 2 4 1." + }, + "output": {} + }, + { + "id": "vm0847", + "input": { + "video_folder": "./images/0847", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 5 3 1 7 6 4." + }, + "output": {} + }, + { + "id": "vm0297", + "input": { + "video_folder": "./images/0297", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 8 3 10 6 4 1 7 5 9 2." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ScienceAndTechnologyVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ScienceAndTechnologyVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2b8887f2c925b728058b834ca52116427295dad8 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ScienceAndTechnologyVideoCaptioning/annotation.json @@ -0,0 +1,719 @@ +{ + "task": "ScienceAndTechnologyVideoCaptioning", + "data_source": "videomme", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0029", + "input": { + "video_file_list": [ + "nVtb2vNUOdU/frame_001.jpg", + "nVtb2vNUOdU/frame_002.jpg", + "nVtb2vNUOdU/frame_003.jpg", + "nVtb2vNUOdU/frame_004.jpg", + "nVtb2vNUOdU/frame_005.jpg", + "nVtb2vNUOdU/frame_006.jpg", + "nVtb2vNUOdU/frame_007.jpg", + "nVtb2vNUOdU/frame_008.jpg", + "nVtb2vNUOdU/frame_009.jpg", + "nVtb2vNUOdU/frame_010.jpg", + "nVtb2vNUOdU/frame_011.jpg", + "nVtb2vNUOdU/frame_012.jpg", + "nVtb2vNUOdU/frame_013.jpg", + "nVtb2vNUOdU/frame_014.jpg", + "nVtb2vNUOdU/frame_015.jpg", + "nVtb2vNUOdU/frame_016.jpg", + "nVtb2vNUOdU/frame_017.jpg", + "nVtb2vNUOdU/frame_018.jpg", + "nVtb2vNUOdU/frame_019.jpg", + "nVtb2vNUOdU/frame_020.jpg", + "nVtb2vNUOdU/frame_021.jpg", + "nVtb2vNUOdU/frame_022.jpg", + "nVtb2vNUOdU/frame_023.jpg", + "nVtb2vNUOdU/frame_024.jpg", + "nVtb2vNUOdU/frame_025.jpg", + "nVtb2vNUOdU/frame_026.jpg", + "nVtb2vNUOdU/frame_027.jpg", + "nVtb2vNUOdU/frame_028.jpg", + "nVtb2vNUOdU/frame_029.jpg", + "nVtb2vNUOdU/frame_030.jpg", + "nVtb2vNUOdU/frame_031.jpg", + "nVtb2vNUOdU/frame_032.jpg", + "nVtb2vNUOdU/frame_033.jpg", + "nVtb2vNUOdU/frame_034.jpg", + "nVtb2vNUOdU/frame_035.jpg", + "nVtb2vNUOdU/frame_036.jpg", + "nVtb2vNUOdU/frame_037.jpg", + "nVtb2vNUOdU/frame_038.jpg", + "nVtb2vNUOdU/frame_039.jpg", + "nVtb2vNUOdU/frame_040.jpg", + "nVtb2vNUOdU/frame_041.jpg", + "nVtb2vNUOdU/frame_042.jpg", + "nVtb2vNUOdU/frame_043.jpg", + "nVtb2vNUOdU/frame_044.jpg", + "nVtb2vNUOdU/frame_045.jpg", + "nVtb2vNUOdU/frame_046.jpg", + "nVtb2vNUOdU/frame_047.jpg", + "nVtb2vNUOdU/frame_048.jpg", + "nVtb2vNUOdU/frame_049.jpg", + "nVtb2vNUOdU/frame_050.jpg", + "nVtb2vNUOdU/frame_051.jpg", + "nVtb2vNUOdU/frame_052.jpg", + "nVtb2vNUOdU/frame_053.jpg", + "nVtb2vNUOdU/frame_054.jpg", + "nVtb2vNUOdU/frame_055.jpg", + "nVtb2vNUOdU/frame_056.jpg", + "nVtb2vNUOdU/frame_057.jpg", + "nVtb2vNUOdU/frame_058.jpg", + "nVtb2vNUOdU/frame_059.jpg", + "nVtb2vNUOdU/frame_060.jpg", + "nVtb2vNUOdU/frame_061.jpg", + "nVtb2vNUOdU/frame_062.jpg", + "nVtb2vNUOdU/frame_063.jpg", + "nVtb2vNUOdU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man speaking on stage, a building with the NVIDIA logo, a green car with the NVIDIA logo, and a man holding an umbrella walking down the street." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0027", + "input": { + "video_file_list": [ + "aBdQQxgxDrY/frame_001.jpg", + "aBdQQxgxDrY/frame_002.jpg", + "aBdQQxgxDrY/frame_003.jpg", + "aBdQQxgxDrY/frame_004.jpg", + "aBdQQxgxDrY/frame_005.jpg", + "aBdQQxgxDrY/frame_006.jpg", + "aBdQQxgxDrY/frame_007.jpg", + "aBdQQxgxDrY/frame_008.jpg", + "aBdQQxgxDrY/frame_009.jpg", + "aBdQQxgxDrY/frame_010.jpg", + "aBdQQxgxDrY/frame_011.jpg", + "aBdQQxgxDrY/frame_012.jpg", + "aBdQQxgxDrY/frame_013.jpg", + "aBdQQxgxDrY/frame_014.jpg", + "aBdQQxgxDrY/frame_015.jpg", + "aBdQQxgxDrY/frame_016.jpg", + "aBdQQxgxDrY/frame_017.jpg", + "aBdQQxgxDrY/frame_018.jpg", + "aBdQQxgxDrY/frame_019.jpg", + "aBdQQxgxDrY/frame_020.jpg", + "aBdQQxgxDrY/frame_021.jpg", + "aBdQQxgxDrY/frame_022.jpg", + "aBdQQxgxDrY/frame_023.jpg", + "aBdQQxgxDrY/frame_024.jpg", + "aBdQQxgxDrY/frame_025.jpg", + "aBdQQxgxDrY/frame_026.jpg", + "aBdQQxgxDrY/frame_027.jpg", + "aBdQQxgxDrY/frame_028.jpg", + "aBdQQxgxDrY/frame_029.jpg", + "aBdQQxgxDrY/frame_030.jpg", + "aBdQQxgxDrY/frame_031.jpg", + "aBdQQxgxDrY/frame_032.jpg", + "aBdQQxgxDrY/frame_033.jpg", + "aBdQQxgxDrY/frame_034.jpg", + "aBdQQxgxDrY/frame_035.jpg", + "aBdQQxgxDrY/frame_036.jpg", + "aBdQQxgxDrY/frame_037.jpg", + "aBdQQxgxDrY/frame_038.jpg", + "aBdQQxgxDrY/frame_039.jpg", + "aBdQQxgxDrY/frame_040.jpg", + "aBdQQxgxDrY/frame_041.jpg", + "aBdQQxgxDrY/frame_042.jpg", + "aBdQQxgxDrY/frame_043.jpg", + "aBdQQxgxDrY/frame_044.jpg", + "aBdQQxgxDrY/frame_045.jpg", + "aBdQQxgxDrY/frame_046.jpg", + "aBdQQxgxDrY/frame_047.jpg", + "aBdQQxgxDrY/frame_048.jpg", + "aBdQQxgxDrY/frame_049.jpg", + "aBdQQxgxDrY/frame_050.jpg", + "aBdQQxgxDrY/frame_051.jpg", + "aBdQQxgxDrY/frame_052.jpg", + "aBdQQxgxDrY/frame_053.jpg", + "aBdQQxgxDrY/frame_054.jpg", + "aBdQQxgxDrY/frame_055.jpg", + "aBdQQxgxDrY/frame_056.jpg", + "aBdQQxgxDrY/frame_057.jpg", + "aBdQQxgxDrY/frame_058.jpg", + "aBdQQxgxDrY/frame_059.jpg", + "aBdQQxgxDrY/frame_060.jpg", + "aBdQQxgxDrY/frame_061.jpg", + "aBdQQxgxDrY/frame_062.jpg", + "aBdQQxgxDrY/frame_063.jpg", + "aBdQQxgxDrY/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a car entering a garage, where its battery is lifted out and replaced before the car exits the garage." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0031", + "input": { + "video_file_list": [ + "FjS2LzrHEO8/frame_001.jpg", + "FjS2LzrHEO8/frame_002.jpg", + "FjS2LzrHEO8/frame_003.jpg", + "FjS2LzrHEO8/frame_004.jpg", + "FjS2LzrHEO8/frame_005.jpg", + "FjS2LzrHEO8/frame_006.jpg", + "FjS2LzrHEO8/frame_007.jpg", + "FjS2LzrHEO8/frame_008.jpg", + "FjS2LzrHEO8/frame_009.jpg", + "FjS2LzrHEO8/frame_010.jpg", + "FjS2LzrHEO8/frame_011.jpg", + "FjS2LzrHEO8/frame_012.jpg", + "FjS2LzrHEO8/frame_013.jpg", + "FjS2LzrHEO8/frame_014.jpg", + "FjS2LzrHEO8/frame_015.jpg", + "FjS2LzrHEO8/frame_016.jpg", + "FjS2LzrHEO8/frame_017.jpg", + "FjS2LzrHEO8/frame_018.jpg", + "FjS2LzrHEO8/frame_019.jpg", + "FjS2LzrHEO8/frame_020.jpg", + "FjS2LzrHEO8/frame_021.jpg", + "FjS2LzrHEO8/frame_022.jpg", + "FjS2LzrHEO8/frame_023.jpg", + "FjS2LzrHEO8/frame_024.jpg", + "FjS2LzrHEO8/frame_025.jpg", + "FjS2LzrHEO8/frame_026.jpg", + "FjS2LzrHEO8/frame_027.jpg", + "FjS2LzrHEO8/frame_028.jpg", + "FjS2LzrHEO8/frame_029.jpg", + "FjS2LzrHEO8/frame_030.jpg", + "FjS2LzrHEO8/frame_031.jpg", + "FjS2LzrHEO8/frame_032.jpg", + "FjS2LzrHEO8/frame_033.jpg", + "FjS2LzrHEO8/frame_034.jpg", + "FjS2LzrHEO8/frame_035.jpg", + "FjS2LzrHEO8/frame_036.jpg", + "FjS2LzrHEO8/frame_037.jpg", + "FjS2LzrHEO8/frame_038.jpg", + "FjS2LzrHEO8/frame_039.jpg", + "FjS2LzrHEO8/frame_040.jpg", + "FjS2LzrHEO8/frame_041.jpg", + "FjS2LzrHEO8/frame_042.jpg", + "FjS2LzrHEO8/frame_043.jpg", + "FjS2LzrHEO8/frame_044.jpg", + "FjS2LzrHEO8/frame_045.jpg", + "FjS2LzrHEO8/frame_046.jpg", + "FjS2LzrHEO8/frame_047.jpg", + "FjS2LzrHEO8/frame_048.jpg", + "FjS2LzrHEO8/frame_049.jpg", + "FjS2LzrHEO8/frame_050.jpg", + "FjS2LzrHEO8/frame_051.jpg", + "FjS2LzrHEO8/frame_052.jpg", + "FjS2LzrHEO8/frame_053.jpg", + "FjS2LzrHEO8/frame_054.jpg", + "FjS2LzrHEO8/frame_055.jpg", + "FjS2LzrHEO8/frame_056.jpg", + "FjS2LzrHEO8/frame_057.jpg", + "FjS2LzrHEO8/frame_058.jpg", + "FjS2LzrHEO8/frame_059.jpg", + "FjS2LzrHEO8/frame_060.jpg", + "FjS2LzrHEO8/frame_061.jpg", + "FjS2LzrHEO8/frame_062.jpg", + "FjS2LzrHEO8/frame_063.jpg", + "FjS2LzrHEO8/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man hammering a metal surface, a person driving a car along a road, and another individual standing on top of a truck." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0016", + "input": { + "video_file_list": [ + "sf4qRY3h_eo/frame_001.jpg", + "sf4qRY3h_eo/frame_002.jpg", + "sf4qRY3h_eo/frame_003.jpg", + "sf4qRY3h_eo/frame_004.jpg", + "sf4qRY3h_eo/frame_005.jpg", + "sf4qRY3h_eo/frame_006.jpg", + "sf4qRY3h_eo/frame_007.jpg", + "sf4qRY3h_eo/frame_008.jpg", + "sf4qRY3h_eo/frame_009.jpg", + "sf4qRY3h_eo/frame_010.jpg", + "sf4qRY3h_eo/frame_011.jpg", + "sf4qRY3h_eo/frame_012.jpg", + "sf4qRY3h_eo/frame_013.jpg", + "sf4qRY3h_eo/frame_014.jpg", + "sf4qRY3h_eo/frame_015.jpg", + "sf4qRY3h_eo/frame_016.jpg", + "sf4qRY3h_eo/frame_017.jpg", + "sf4qRY3h_eo/frame_018.jpg", + "sf4qRY3h_eo/frame_019.jpg", + "sf4qRY3h_eo/frame_020.jpg", + "sf4qRY3h_eo/frame_021.jpg", + "sf4qRY3h_eo/frame_022.jpg", + "sf4qRY3h_eo/frame_023.jpg", + "sf4qRY3h_eo/frame_024.jpg", + "sf4qRY3h_eo/frame_025.jpg", + "sf4qRY3h_eo/frame_026.jpg", + "sf4qRY3h_eo/frame_027.jpg", + "sf4qRY3h_eo/frame_028.jpg", + "sf4qRY3h_eo/frame_029.jpg", + "sf4qRY3h_eo/frame_030.jpg", + "sf4qRY3h_eo/frame_031.jpg", + "sf4qRY3h_eo/frame_032.jpg", + "sf4qRY3h_eo/frame_033.jpg", + "sf4qRY3h_eo/frame_034.jpg", + "sf4qRY3h_eo/frame_035.jpg", + "sf4qRY3h_eo/frame_036.jpg", + "sf4qRY3h_eo/frame_037.jpg", + "sf4qRY3h_eo/frame_038.jpg", + "sf4qRY3h_eo/frame_039.jpg", + "sf4qRY3h_eo/frame_040.jpg", + "sf4qRY3h_eo/frame_041.jpg", + "sf4qRY3h_eo/frame_042.jpg", + "sf4qRY3h_eo/frame_043.jpg", + "sf4qRY3h_eo/frame_044.jpg", + "sf4qRY3h_eo/frame_045.jpg", + "sf4qRY3h_eo/frame_046.jpg", + "sf4qRY3h_eo/frame_047.jpg", + "sf4qRY3h_eo/frame_048.jpg", + "sf4qRY3h_eo/frame_049.jpg", + "sf4qRY3h_eo/frame_050.jpg", + "sf4qRY3h_eo/frame_051.jpg", + "sf4qRY3h_eo/frame_052.jpg", + "sf4qRY3h_eo/frame_053.jpg", + "sf4qRY3h_eo/frame_054.jpg", + "sf4qRY3h_eo/frame_055.jpg", + "sf4qRY3h_eo/frame_056.jpg", + "sf4qRY3h_eo/frame_057.jpg", + "sf4qRY3h_eo/frame_058.jpg", + "sf4qRY3h_eo/frame_059.jpg", + "sf4qRY3h_eo/frame_060.jpg", + "sf4qRY3h_eo/frame_061.jpg", + "sf4qRY3h_eo/frame_062.jpg", + "sf4qRY3h_eo/frame_063.jpg", + "sf4qRY3h_eo/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a rocket launching from a pad, ascending through the atmosphere, and trailing smoke and flames. It then reaches its space destination and continues its high-speed journey." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0001", + "input": { + "video_file_list": [ + "m4qhFFdHTCc/frame_001.jpg", + "m4qhFFdHTCc/frame_002.jpg", + "m4qhFFdHTCc/frame_003.jpg", + "m4qhFFdHTCc/frame_004.jpg", + "m4qhFFdHTCc/frame_005.jpg", + "m4qhFFdHTCc/frame_006.jpg", + "m4qhFFdHTCc/frame_007.jpg", + "m4qhFFdHTCc/frame_008.jpg", + "m4qhFFdHTCc/frame_009.jpg", + "m4qhFFdHTCc/frame_010.jpg", + "m4qhFFdHTCc/frame_011.jpg", + "m4qhFFdHTCc/frame_012.jpg", + "m4qhFFdHTCc/frame_013.jpg", + "m4qhFFdHTCc/frame_014.jpg", + "m4qhFFdHTCc/frame_015.jpg", + "m4qhFFdHTCc/frame_016.jpg", + "m4qhFFdHTCc/frame_017.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video displays a yellow sports car against a black background. Featuring a sleek, modern design with a low profile and aerodynamic shape, the camera rotates to highlight its curves and lines." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0020", + "input": { + "video_file_list": [ + "fo0Hmch2YS0/frame_001.jpg", + "fo0Hmch2YS0/frame_002.jpg", + "fo0Hmch2YS0/frame_003.jpg", + "fo0Hmch2YS0/frame_004.jpg", + "fo0Hmch2YS0/frame_005.jpg", + "fo0Hmch2YS0/frame_006.jpg", + "fo0Hmch2YS0/frame_007.jpg", + "fo0Hmch2YS0/frame_008.jpg", + "fo0Hmch2YS0/frame_009.jpg", + "fo0Hmch2YS0/frame_010.jpg", + "fo0Hmch2YS0/frame_011.jpg", + "fo0Hmch2YS0/frame_012.jpg", + "fo0Hmch2YS0/frame_013.jpg", + "fo0Hmch2YS0/frame_014.jpg", + "fo0Hmch2YS0/frame_015.jpg", + "fo0Hmch2YS0/frame_016.jpg", + "fo0Hmch2YS0/frame_017.jpg", + "fo0Hmch2YS0/frame_018.jpg", + "fo0Hmch2YS0/frame_019.jpg", + "fo0Hmch2YS0/frame_020.jpg", + "fo0Hmch2YS0/frame_021.jpg", + "fo0Hmch2YS0/frame_022.jpg", + "fo0Hmch2YS0/frame_023.jpg", + "fo0Hmch2YS0/frame_024.jpg", + "fo0Hmch2YS0/frame_025.jpg", + "fo0Hmch2YS0/frame_026.jpg", + "fo0Hmch2YS0/frame_027.jpg", + "fo0Hmch2YS0/frame_028.jpg", + "fo0Hmch2YS0/frame_029.jpg", + "fo0Hmch2YS0/frame_030.jpg", + "fo0Hmch2YS0/frame_031.jpg", + "fo0Hmch2YS0/frame_032.jpg", + "fo0Hmch2YS0/frame_033.jpg", + "fo0Hmch2YS0/frame_034.jpg", + "fo0Hmch2YS0/frame_035.jpg", + "fo0Hmch2YS0/frame_036.jpg", + "fo0Hmch2YS0/frame_037.jpg", + "fo0Hmch2YS0/frame_038.jpg", + "fo0Hmch2YS0/frame_039.jpg", + "fo0Hmch2YS0/frame_040.jpg", + "fo0Hmch2YS0/frame_041.jpg", + "fo0Hmch2YS0/frame_042.jpg", + "fo0Hmch2YS0/frame_043.jpg", + "fo0Hmch2YS0/frame_044.jpg", + "fo0Hmch2YS0/frame_045.jpg", + "fo0Hmch2YS0/frame_046.jpg", + "fo0Hmch2YS0/frame_047.jpg", + "fo0Hmch2YS0/frame_048.jpg", + "fo0Hmch2YS0/frame_049.jpg", + "fo0Hmch2YS0/frame_050.jpg", + "fo0Hmch2YS0/frame_051.jpg", + "fo0Hmch2YS0/frame_052.jpg", + "fo0Hmch2YS0/frame_053.jpg", + "fo0Hmch2YS0/frame_054.jpg", + "fo0Hmch2YS0/frame_055.jpg", + "fo0Hmch2YS0/frame_056.jpg", + "fo0Hmch2YS0/frame_057.jpg", + "fo0Hmch2YS0/frame_058.jpg", + "fo0Hmch2YS0/frame_059.jpg", + "fo0Hmch2YS0/frame_060.jpg", + "fo0Hmch2YS0/frame_061.jpg", + "fo0Hmch2YS0/frame_062.jpg", + "fo0Hmch2YS0/frame_063.jpg", + "fo0Hmch2YS0/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a massive planetary collision with Earth, resulting in fiery debris raining down. It then focuses on a city, showcasing the devastation in detail. 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It also includes an image of a light bulb on a yellow background, along with a black and yellow flag." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0035", + "input": { + "video_file_list": [ + "AF8d72mA41M/frame_001.jpg", + "AF8d72mA41M/frame_002.jpg", + "AF8d72mA41M/frame_003.jpg", + "AF8d72mA41M/frame_004.jpg", + "AF8d72mA41M/frame_005.jpg", + "AF8d72mA41M/frame_006.jpg", + "AF8d72mA41M/frame_007.jpg", + "AF8d72mA41M/frame_008.jpg", + "AF8d72mA41M/frame_009.jpg", + "AF8d72mA41M/frame_010.jpg", + "AF8d72mA41M/frame_011.jpg", + "AF8d72mA41M/frame_012.jpg", + "AF8d72mA41M/frame_013.jpg", + "AF8d72mA41M/frame_014.jpg", + "AF8d72mA41M/frame_015.jpg", + "AF8d72mA41M/frame_016.jpg", + "AF8d72mA41M/frame_017.jpg", + "AF8d72mA41M/frame_018.jpg", + "AF8d72mA41M/frame_019.jpg", + "AF8d72mA41M/frame_020.jpg", + "AF8d72mA41M/frame_021.jpg", + "AF8d72mA41M/frame_022.jpg", + "AF8d72mA41M/frame_023.jpg", + "AF8d72mA41M/frame_024.jpg", + "AF8d72mA41M/frame_025.jpg", + "AF8d72mA41M/frame_026.jpg", + "AF8d72mA41M/frame_027.jpg", + "AF8d72mA41M/frame_028.jpg", + "AF8d72mA41M/frame_029.jpg", + "AF8d72mA41M/frame_030.jpg", + "AF8d72mA41M/frame_031.jpg", + "AF8d72mA41M/frame_032.jpg", + "AF8d72mA41M/frame_033.jpg", + "AF8d72mA41M/frame_034.jpg", + "AF8d72mA41M/frame_035.jpg", + "AF8d72mA41M/frame_036.jpg", + "AF8d72mA41M/frame_037.jpg", + "AF8d72mA41M/frame_038.jpg", + "AF8d72mA41M/frame_039.jpg", + "AF8d72mA41M/frame_040.jpg", + "AF8d72mA41M/frame_041.jpg", + "AF8d72mA41M/frame_042.jpg", + "AF8d72mA41M/frame_043.jpg", + "AF8d72mA41M/frame_044.jpg", + "AF8d72mA41M/frame_045.jpg", + "AF8d72mA41M/frame_046.jpg", + "AF8d72mA41M/frame_047.jpg", + "AF8d72mA41M/frame_048.jpg", + "AF8d72mA41M/frame_049.jpg", + "AF8d72mA41M/frame_050.jpg", + "AF8d72mA41M/frame_051.jpg", + "AF8d72mA41M/frame_052.jpg", + "AF8d72mA41M/frame_053.jpg", + "AF8d72mA41M/frame_054.jpg", + "AF8d72mA41M/frame_055.jpg", + "AF8d72mA41M/frame_056.jpg", + "AF8d72mA41M/frame_057.jpg", + "AF8d72mA41M/frame_058.jpg", + "AF8d72mA41M/frame_059.jpg", + "AF8d72mA41M/frame_060.jpg", + "AF8d72mA41M/frame_061.jpg", + "AF8d72mA41M/frame_062.jpg", + "AF8d72mA41M/frame_063.jpg", + "AF8d72mA41M/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man holding two lights and speaking into the camera, followed by scenes of individuals working and producing LEDs. It also includes interviews with various people interspersed with animated sequences." + } + }, + { + "id": "vc_closeset_scienceandtechnologyvideocaptioning_0023", + "input": { + "video_file_list": [ + "eKVTFXQPAhs/frame_001.jpg", + "eKVTFXQPAhs/frame_002.jpg", + "eKVTFXQPAhs/frame_003.jpg", + "eKVTFXQPAhs/frame_004.jpg", + "eKVTFXQPAhs/frame_005.jpg", + "eKVTFXQPAhs/frame_006.jpg", + "eKVTFXQPAhs/frame_007.jpg", + "eKVTFXQPAhs/frame_008.jpg", + "eKVTFXQPAhs/frame_009.jpg", + "eKVTFXQPAhs/frame_010.jpg", + "eKVTFXQPAhs/frame_011.jpg", + "eKVTFXQPAhs/frame_012.jpg", + "eKVTFXQPAhs/frame_013.jpg", + "eKVTFXQPAhs/frame_014.jpg", + "eKVTFXQPAhs/frame_015.jpg", + "eKVTFXQPAhs/frame_016.jpg", + "eKVTFXQPAhs/frame_017.jpg", + "eKVTFXQPAhs/frame_018.jpg", + "eKVTFXQPAhs/frame_019.jpg", + "eKVTFXQPAhs/frame_020.jpg", + "eKVTFXQPAhs/frame_021.jpg", + "eKVTFXQPAhs/frame_022.jpg", + "eKVTFXQPAhs/frame_023.jpg", + "eKVTFXQPAhs/frame_024.jpg", + "eKVTFXQPAhs/frame_025.jpg", + "eKVTFXQPAhs/frame_026.jpg", + "eKVTFXQPAhs/frame_027.jpg", + "eKVTFXQPAhs/frame_028.jpg", + "eKVTFXQPAhs/frame_029.jpg", + "eKVTFXQPAhs/frame_030.jpg", + "eKVTFXQPAhs/frame_031.jpg", + "eKVTFXQPAhs/frame_032.jpg", + "eKVTFXQPAhs/frame_033.jpg", + "eKVTFXQPAhs/frame_034.jpg", + "eKVTFXQPAhs/frame_035.jpg", + "eKVTFXQPAhs/frame_036.jpg", + "eKVTFXQPAhs/frame_037.jpg", + "eKVTFXQPAhs/frame_038.jpg", + "eKVTFXQPAhs/frame_039.jpg", + "eKVTFXQPAhs/frame_040.jpg", + "eKVTFXQPAhs/frame_041.jpg", + "eKVTFXQPAhs/frame_042.jpg", + "eKVTFXQPAhs/frame_043.jpg", + "eKVTFXQPAhs/frame_044.jpg", + "eKVTFXQPAhs/frame_045.jpg", + "eKVTFXQPAhs/frame_046.jpg", + "eKVTFXQPAhs/frame_047.jpg", + "eKVTFXQPAhs/frame_048.jpg", + "eKVTFXQPAhs/frame_049.jpg", + "eKVTFXQPAhs/frame_050.jpg", + "eKVTFXQPAhs/frame_051.jpg", + "eKVTFXQPAhs/frame_052.jpg", + "eKVTFXQPAhs/frame_053.jpg", + "eKVTFXQPAhs/frame_054.jpg", + "eKVTFXQPAhs/frame_055.jpg", + "eKVTFXQPAhs/frame_056.jpg", + "eKVTFXQPAhs/frame_057.jpg", + "eKVTFXQPAhs/frame_058.jpg", + "eKVTFXQPAhs/frame_059.jpg", + "eKVTFXQPAhs/frame_060.jpg", + "eKVTFXQPAhs/frame_061.jpg", + "eKVTFXQPAhs/frame_062.jpg", + "eKVTFXQPAhs/frame_063.jpg", + "eKVTFXQPAhs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features a man demonstrating different phones while addressing the camera. At one point, he shows a remote control. The sequence concludes with a graph image." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ScienceVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ScienceVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..beb8b26fdbe74840d5507d156481d0ba186a9600 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ScienceVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ScienceVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_sciencevideoquestionanswering_0061", + "input": { + "video_file_list": [ + "5jSXPK73pps/0.jpg", + "5jSXPK73pps/1.jpg", + "5jSXPK73pps/2.jpg", + "5jSXPK73pps/3.jpg", + "5jSXPK73pps/4.jpg", + "5jSXPK73pps/5.jpg", + "5jSXPK73pps/6.jpg", + "5jSXPK73pps/7.jpg", + "5jSXPK73pps/8.jpg", + "5jSXPK73pps/9.jpg", + "5jSXPK73pps/10.jpg", + "5jSXPK73pps/11.jpg", + "5jSXPK73pps/12.jpg", + "5jSXPK73pps/13.jpg", + "5jSXPK73pps/14.jpg", + "5jSXPK73pps/15.jpg", + "5jSXPK73pps/16.jpg", + "5jSXPK73pps/17.jpg", + "5jSXPK73pps/18.jpg", + "5jSXPK73pps/19.jpg", + "5jSXPK73pps/20.jpg", + "5jSXPK73pps/21.jpg", + "5jSXPK73pps/22.jpg", + "5jSXPK73pps/23.jpg", + "5jSXPK73pps/24.jpg", + "5jSXPK73pps/25.jpg", + "5jSXPK73pps/26.jpg", + "5jSXPK73pps/27.jpg", + "5jSXPK73pps/28.jpg", + "5jSXPK73pps/29.jpg", + "5jSXPK73pps/30.jpg", + "5jSXPK73pps/31.jpg", + "5jSXPK73pps/32.jpg", + "5jSXPK73pps/33.jpg", + "5jSXPK73pps/34.jpg", + "5jSXPK73pps/35.jpg", + "5jSXPK73pps/36.jpg", + "5jSXPK73pps/37.jpg", + "5jSXPK73pps/38.jpg", + "5jSXPK73pps/39.jpg", + "5jSXPK73pps/40.jpg", + "5jSXPK73pps/41.jpg", + "5jSXPK73pps/42.jpg", + "5jSXPK73pps/43.jpg", + "5jSXPK73pps/44.jpg", + "5jSXPK73pps/45.jpg", + "5jSXPK73pps/46.jpg", + "5jSXPK73pps/47.jpg", + "5jSXPK73pps/48.jpg", + "5jSXPK73pps/49.jpg", + "5jSXPK73pps/50.jpg", + "5jSXPK73pps/51.jpg", + "5jSXPK73pps/52.jpg", + "5jSXPK73pps/53.jpg", + "5jSXPK73pps/54.jpg", + "5jSXPK73pps/55.jpg", + "5jSXPK73pps/56.jpg", + "5jSXPK73pps/57.jpg", + "5jSXPK73pps/58.jpg", + "5jSXPK73pps/59.jpg", + "5jSXPK73pps/60.jpg", + "5jSXPK73pps/61.jpg", + "5jSXPK73pps/62.jpg", + "5jSXPK73pps/63.jpg" + ], + "prompt": "What sequence of events occurs from the start to the end of the video?" + }, + "output": { + "text": "The video begins with a visual introduction to howstuffworks.com, which transitions into a presentation titled 'Stuff of Genius' focusing on canned food. It then explores the historical background of Nicolas Appert, his various professional roles, and the food preservation challenges of the 18th century. The video details Appert's method of using heat to sterilize food in sealed glass jars and mentions that he documented this process in a book. The video concludes by inviting viewers to subscribe to the channel." + } + }, + { + "id": "vc_closeset_sciencevideoquestionanswering_0072", + "input": { + "video_file_list": [ + "VsYWiLUIM0g/0.jpg", + "VsYWiLUIM0g/1.jpg", + "VsYWiLUIM0g/2.jpg", + "VsYWiLUIM0g/3.jpg", + "VsYWiLUIM0g/4.jpg", + "VsYWiLUIM0g/5.jpg", + "VsYWiLUIM0g/6.jpg", + "VsYWiLUIM0g/7.jpg", + "VsYWiLUIM0g/8.jpg", + "VsYWiLUIM0g/9.jpg", + "VsYWiLUIM0g/10.jpg", + "VsYWiLUIM0g/11.jpg", + "VsYWiLUIM0g/12.jpg", + "VsYWiLUIM0g/13.jpg", + "VsYWiLUIM0g/14.jpg", + "VsYWiLUIM0g/15.jpg", + "VsYWiLUIM0g/16.jpg", + "VsYWiLUIM0g/17.jpg", + "VsYWiLUIM0g/18.jpg", + "VsYWiLUIM0g/19.jpg", + "VsYWiLUIM0g/20.jpg", + "VsYWiLUIM0g/21.jpg", + "VsYWiLUIM0g/22.jpg", + "VsYWiLUIM0g/23.jpg", + "VsYWiLUIM0g/24.jpg", + "VsYWiLUIM0g/25.jpg", + "VsYWiLUIM0g/26.jpg", + "VsYWiLUIM0g/27.jpg", + "VsYWiLUIM0g/28.jpg", + "VsYWiLUIM0g/29.jpg", + "VsYWiLUIM0g/30.jpg", + "VsYWiLUIM0g/31.jpg", + "VsYWiLUIM0g/32.jpg", + "VsYWiLUIM0g/33.jpg", + "VsYWiLUIM0g/34.jpg", + "VsYWiLUIM0g/35.jpg", + "VsYWiLUIM0g/36.jpg", + "VsYWiLUIM0g/37.jpg", + "VsYWiLUIM0g/38.jpg", + "VsYWiLUIM0g/39.jpg", + "VsYWiLUIM0g/40.jpg", + "VsYWiLUIM0g/41.jpg", + "VsYWiLUIM0g/42.jpg", + "VsYWiLUIM0g/43.jpg", + "VsYWiLUIM0g/44.jpg", + "VsYWiLUIM0g/45.jpg", + "VsYWiLUIM0g/46.jpg", + "VsYWiLUIM0g/47.jpg", + "VsYWiLUIM0g/48.jpg", + "VsYWiLUIM0g/49.jpg", + "VsYWiLUIM0g/50.jpg", + "VsYWiLUIM0g/51.jpg", + "VsYWiLUIM0g/52.jpg", + "VsYWiLUIM0g/53.jpg", + "VsYWiLUIM0g/54.jpg", + "VsYWiLUIM0g/55.jpg", + "VsYWiLUIM0g/56.jpg", + "VsYWiLUIM0g/57.jpg", + "VsYWiLUIM0g/58.jpg", + "VsYWiLUIM0g/59.jpg", + "VsYWiLUIM0g/60.jpg", + "VsYWiLUIM0g/61.jpg", + "VsYWiLUIM0g/62.jpg", + "VsYWiLUIM0g/63.jpg" + ], + "prompt": "Can you provide a detailed walkthrough of the entire video about the Samsung Galaxy Watch from start to finish?" + }, + "output": { + "text": "The video kicks off with a showcase of \"Topes de Gama,\" where the host delves into an in-depth discussion about the Samsung Galaxy Watch. The host meticulously outlines the various features and functionalities of this cutting-edge smartwatch. Firstly, he provides an overview of the design and build of the Samsung Galaxy Watch, highlighting its sleek and modern aesthetics. He discusses the different models available and explores the options for customization to suit individual preferences. Moving on, the host delves into the watch's capabilities and how it functions. He elaborates on its intuitive user interface, emphasizing its ease of use and accessibility for a wide range of users. He showcases how the watch interacts with various smartphone apps and services, seamlessly integrating into the user's digital lifestyle. Moreover, the host explores the fitness and health-tracking features of the Samsung Galaxy Watch, discussing its ability to monitor activities such as exercise, heart rate, and sleep patterns. He demonstrates how these features contribute to promoting a healthier lifestyle and enhancing overall well-being. Additionally, the host delves into the connectivity options of the Samsung Galaxy Watch, highlighting its compatibility with both Android and iOS devices. He explores its capabilities for receiving notifications, making calls, and accessing other essential functions directly from the wrist. Throughout the video, the host provides detailed insights and demonstrations, enabling viewers to gain a comprehensive understanding of the Samsung Galaxy Watch and its myriad functionalities. Overall, the video serves as a comprehensive guide for anyone interested in exploring the capabilities of this advanced smartwatch." + } + }, + { + "id": "vc_closeset_sciencevideoquestionanswering_0037", + "input": { + "video_file_list": [ + "CBfuwcoQ6qQ/0.jpg", + "CBfuwcoQ6qQ/1.jpg", + "CBfuwcoQ6qQ/2.jpg", + "CBfuwcoQ6qQ/3.jpg", + "CBfuwcoQ6qQ/4.jpg", + "CBfuwcoQ6qQ/5.jpg", + "CBfuwcoQ6qQ/6.jpg", + "CBfuwcoQ6qQ/7.jpg", + "CBfuwcoQ6qQ/8.jpg", + "CBfuwcoQ6qQ/9.jpg", + "CBfuwcoQ6qQ/10.jpg", + "CBfuwcoQ6qQ/11.jpg", + "CBfuwcoQ6qQ/12.jpg", + "CBfuwcoQ6qQ/13.jpg", + "CBfuwcoQ6qQ/14.jpg", + "CBfuwcoQ6qQ/15.jpg", + "CBfuwcoQ6qQ/16.jpg", + "CBfuwcoQ6qQ/17.jpg", + "CBfuwcoQ6qQ/18.jpg", + "CBfuwcoQ6qQ/19.jpg", + "CBfuwcoQ6qQ/20.jpg", + "CBfuwcoQ6qQ/21.jpg", + "CBfuwcoQ6qQ/22.jpg", + "CBfuwcoQ6qQ/23.jpg", + "CBfuwcoQ6qQ/24.jpg", + "CBfuwcoQ6qQ/25.jpg", + "CBfuwcoQ6qQ/26.jpg", + "CBfuwcoQ6qQ/27.jpg", + "CBfuwcoQ6qQ/28.jpg", + "CBfuwcoQ6qQ/29.jpg", + "CBfuwcoQ6qQ/30.jpg", + "CBfuwcoQ6qQ/31.jpg", + "CBfuwcoQ6qQ/32.jpg", + "CBfuwcoQ6qQ/33.jpg", + "CBfuwcoQ6qQ/34.jpg", + "CBfuwcoQ6qQ/35.jpg", + "CBfuwcoQ6qQ/36.jpg", + "CBfuwcoQ6qQ/37.jpg", + "CBfuwcoQ6qQ/38.jpg", + "CBfuwcoQ6qQ/39.jpg", + "CBfuwcoQ6qQ/40.jpg", + "CBfuwcoQ6qQ/41.jpg", + "CBfuwcoQ6qQ/42.jpg", + "CBfuwcoQ6qQ/43.jpg", + "CBfuwcoQ6qQ/44.jpg", + "CBfuwcoQ6qQ/45.jpg", + "CBfuwcoQ6qQ/46.jpg", + "CBfuwcoQ6qQ/47.jpg", + "CBfuwcoQ6qQ/48.jpg", + "CBfuwcoQ6qQ/49.jpg", + "CBfuwcoQ6qQ/50.jpg", + "CBfuwcoQ6qQ/51.jpg", + "CBfuwcoQ6qQ/52.jpg", + "CBfuwcoQ6qQ/53.jpg", + "CBfuwcoQ6qQ/54.jpg", + "CBfuwcoQ6qQ/55.jpg", + "CBfuwcoQ6qQ/56.jpg", + "CBfuwcoQ6qQ/57.jpg", + "CBfuwcoQ6qQ/58.jpg", + "CBfuwcoQ6qQ/59.jpg", + "CBfuwcoQ6qQ/60.jpg", + "CBfuwcoQ6qQ/61.jpg", + "CBfuwcoQ6qQ/62.jpg", + "CBfuwcoQ6qQ/63.jpg" + ], + "prompt": "Can you describe the entire video in detail from beginning to end?" + }, + "output": { + "text": "The video begins with a visual presentation of TecMundo, setting the stage for the content that follows. The focus shifts to the Mobile World Congress (MWC) held in Barcelona from February 27 to March 2, 2017, providing viewers with context about the event. Samsung\u2019s participation in MWC 2017 is given particular emphasis. The presenter highlights Samsung\u2019s engagement in the event, especially focusing on the 5G revolution, explaining the advancements and implications of 5G technology in detail. The video then explores the features of the Samsung Galaxy Tab S3, offering insights into its specifications and functionalities. The presentation transitions to showcase the Galaxy Book, drawing attention to its FHD+S-AMOLED display and presenting it as a noteworthy device. A segment is dedicated to the Gear VR powered by Oculus, highlighting its immersive capabilities and technological integration. The final slide of the video announces the \"Galaxy Unpacked\" event scheduled for March 29, 2017, inviting viewers to watch the live presentation on www.samsung.com/galaxy. In summary, the video provides a comprehensive overview of Samsung\u2019s presence at the Mobile World Congress 2017, highlighting key aspects such as the 5G revolution, Galaxy Tab S3, Galaxy Book, and the Gear VR, and concludes with an invitation to the upcoming Galaxy Unpacked event. The formal presentation style and visual aids contribute to a detailed and informative narrative." + } + }, + { + "id": "vc_closeset_sciencevideoquestionanswering_0173", + "input": { + "video_file_list": [ + "0Zdtj9FCe7s/0.jpg", + "0Zdtj9FCe7s/1.jpg", + "0Zdtj9FCe7s/2.jpg", + "0Zdtj9FCe7s/3.jpg", + "0Zdtj9FCe7s/4.jpg", + "0Zdtj9FCe7s/5.jpg", + "0Zdtj9FCe7s/6.jpg", + "0Zdtj9FCe7s/7.jpg", + "0Zdtj9FCe7s/8.jpg", + "0Zdtj9FCe7s/9.jpg", + "0Zdtj9FCe7s/10.jpg", + "0Zdtj9FCe7s/11.jpg", + "0Zdtj9FCe7s/12.jpg", + "0Zdtj9FCe7s/13.jpg", + "0Zdtj9FCe7s/14.jpg", + "0Zdtj9FCe7s/15.jpg", + "0Zdtj9FCe7s/16.jpg", + "0Zdtj9FCe7s/17.jpg", + "0Zdtj9FCe7s/18.jpg", + "0Zdtj9FCe7s/19.jpg", + "0Zdtj9FCe7s/20.jpg", + "0Zdtj9FCe7s/21.jpg", + "0Zdtj9FCe7s/22.jpg", + "0Zdtj9FCe7s/23.jpg", + "0Zdtj9FCe7s/24.jpg", + "0Zdtj9FCe7s/25.jpg", + "0Zdtj9FCe7s/26.jpg", + "0Zdtj9FCe7s/27.jpg", + "0Zdtj9FCe7s/28.jpg", + "0Zdtj9FCe7s/29.jpg", + "0Zdtj9FCe7s/30.jpg", + "0Zdtj9FCe7s/31.jpg", + "0Zdtj9FCe7s/32.jpg", + 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The host, Colt McAnlis, emphasizes that bloated asset files pose significant problems, affecting network speeds, battery drain, and cost for users without unlimited data plans. He highlights the impact of slower networks on download times and increased battery consumption due to larger files. Colt identifies images and serialized data as the two major culprits for bloated files. For images, he recommends adjusting file types, avoiding unnecessary transparency in PNG files, and optimizing quality settings to find the right trade-off between quality and size. The importance of considering resolution, especially for different screen sizes, is emphasized, advocating for storing various qualities and resolutions of the same image on the server. Serialized data, particularly in JSON and XML formats, is criticized for its bloated size. Colt encourages leveraging binary serialization formats like Protocol Buffers, MessagePack, and FlatBuffers, which can significantly reduce data footprint. He underscores the importance of making trade-offs and adopting a struct-of-arrays format for better gzip compression during transmission. To address concerns about asset size and its impact on users, Colt recommends using tools like the networking monitor tool in Android Studio or the ARO tool from AT&T. These tools help developers track and resolve performance issues. Colt concludes by emphasizing the community aspect, encouraging viewers to explore the Android Performance Patterns content and seek advice from the community on Google+ for effective problem-solving. The video concludes with a reminder to stay calm, profile code, and prioritize performance." + } + }, + { + "id": "vc_closeset_sciencevideoquestionanswering_0107", + "input": { + "video_file_list": [ + "njrHUtydH8Y/0.jpg", + "njrHUtydH8Y/1.jpg", + "njrHUtydH8Y/2.jpg", + "njrHUtydH8Y/3.jpg", + "njrHUtydH8Y/4.jpg", + "njrHUtydH8Y/5.jpg", + "njrHUtydH8Y/6.jpg", + "njrHUtydH8Y/7.jpg", + "njrHUtydH8Y/8.jpg", + "njrHUtydH8Y/9.jpg", + "njrHUtydH8Y/10.jpg", + "njrHUtydH8Y/11.jpg", + "njrHUtydH8Y/12.jpg", + "njrHUtydH8Y/13.jpg", + "njrHUtydH8Y/14.jpg", + "njrHUtydH8Y/15.jpg", + "njrHUtydH8Y/16.jpg", + "njrHUtydH8Y/17.jpg", + "njrHUtydH8Y/18.jpg", + "njrHUtydH8Y/19.jpg", + "njrHUtydH8Y/20.jpg", + "njrHUtydH8Y/21.jpg", + "njrHUtydH8Y/22.jpg", + "njrHUtydH8Y/23.jpg", + "njrHUtydH8Y/24.jpg", + "njrHUtydH8Y/25.jpg", + "njrHUtydH8Y/26.jpg", + "njrHUtydH8Y/27.jpg", + "njrHUtydH8Y/28.jpg", + "njrHUtydH8Y/29.jpg", + "njrHUtydH8Y/30.jpg", + "njrHUtydH8Y/31.jpg", + "njrHUtydH8Y/32.jpg", + 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+++ b/Scope-A/S-A-Quick/video/comprehension/ScienceVideoRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "ScienceVideoRecognition", + "data_source": "mmbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_sciencevideorecognition_0041", + "input": { + "video_file_list": [ + "X3A-KvnHN0U/0.jpg", + "X3A-KvnHN0U/1.jpg", + "X3A-KvnHN0U/2.jpg", + "X3A-KvnHN0U/3.jpg", + "X3A-KvnHN0U/4.jpg", + "X3A-KvnHN0U/5.jpg", + "X3A-KvnHN0U/6.jpg", + "X3A-KvnHN0U/7.jpg", + "X3A-KvnHN0U/8.jpg", + "X3A-KvnHN0U/9.jpg", + "X3A-KvnHN0U/10.jpg", + "X3A-KvnHN0U/11.jpg", + "X3A-KvnHN0U/12.jpg", + "X3A-KvnHN0U/13.jpg", + "X3A-KvnHN0U/14.jpg", + "X3A-KvnHN0U/15.jpg", + "X3A-KvnHN0U/16.jpg", + "X3A-KvnHN0U/17.jpg", + "X3A-KvnHN0U/18.jpg", + "X3A-KvnHN0U/19.jpg", + "X3A-KvnHN0U/20.jpg", + "X3A-KvnHN0U/21.jpg", + "X3A-KvnHN0U/22.jpg", + "X3A-KvnHN0U/23.jpg", + "X3A-KvnHN0U/24.jpg", + 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reaction?" + }, + "output": { + "text": "The end product of this reaction is iron." + } + }, + { + "id": "vc_closeset_sciencevideorecognition_0032", + "input": { + "video_file_list": [ + "2mYHGn_Pd5M_processed/0.jpg", + "2mYHGn_Pd5M_processed/1.jpg", + "2mYHGn_Pd5M_processed/2.jpg", + "2mYHGn_Pd5M_processed/3.jpg", + "2mYHGn_Pd5M_processed/4.jpg", + "2mYHGn_Pd5M_processed/5.jpg", + "2mYHGn_Pd5M_processed/6.jpg", + "2mYHGn_Pd5M_processed/7.jpg", + "2mYHGn_Pd5M_processed/8.jpg", + "2mYHGn_Pd5M_processed/9.jpg", + "2mYHGn_Pd5M_processed/10.jpg", + "2mYHGn_Pd5M_processed/11.jpg", + "2mYHGn_Pd5M_processed/12.jpg", + "2mYHGn_Pd5M_processed/13.jpg", + "2mYHGn_Pd5M_processed/14.jpg", + "2mYHGn_Pd5M_processed/15.jpg", + "2mYHGn_Pd5M_processed/16.jpg", + "2mYHGn_Pd5M_processed/17.jpg", + "2mYHGn_Pd5M_processed/18.jpg", + "2mYHGn_Pd5M_processed/19.jpg", + "2mYHGn_Pd5M_processed/20.jpg", + "2mYHGn_Pd5M_processed/21.jpg", + "2mYHGn_Pd5M_processed/22.jpg", + "2mYHGn_Pd5M_processed/23.jpg", + 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"text": "It will get electrocuted because electricity flows from high potential to low, thus it flows through the bird." + } + }, + { + "id": "vc_closeset_sciencevideorecognition_0012", + "input": { + "video_file_list": [ + "u2oeEhXe-GA/0.jpg", + "u2oeEhXe-GA/1.jpg", + "u2oeEhXe-GA/2.jpg", + "u2oeEhXe-GA/3.jpg", + "u2oeEhXe-GA/4.jpg", + "u2oeEhXe-GA/5.jpg", + "u2oeEhXe-GA/6.jpg", + "u2oeEhXe-GA/7.jpg", + "u2oeEhXe-GA/8.jpg", + "u2oeEhXe-GA/9.jpg", + "u2oeEhXe-GA/10.jpg", + "u2oeEhXe-GA/11.jpg", + "u2oeEhXe-GA/12.jpg", + "u2oeEhXe-GA/13.jpg", + "u2oeEhXe-GA/14.jpg", + "u2oeEhXe-GA/15.jpg", + "u2oeEhXe-GA/16.jpg", + "u2oeEhXe-GA/17.jpg", + "u2oeEhXe-GA/18.jpg", + "u2oeEhXe-GA/19.jpg", + "u2oeEhXe-GA/20.jpg", + "u2oeEhXe-GA/21.jpg", + "u2oeEhXe-GA/22.jpg", + "u2oeEhXe-GA/23.jpg", + "u2oeEhXe-GA/24.jpg", + "u2oeEhXe-GA/25.jpg", + "u2oeEhXe-GA/26.jpg", + "u2oeEhXe-GA/27.jpg", + "u2oeEhXe-GA/28.jpg", + "u2oeEhXe-GA/29.jpg", + "u2oeEhXe-GA/30.jpg", + "u2oeEhXe-GA/31.jpg", + 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onion, which float on the water." + } + }, + { + "id": "vc_closeset_sciencevideorecognition_0051", + "input": { + "video_file_list": [ + "gZ2fz3VSr5c/0.jpg", + "gZ2fz3VSr5c/1.jpg", + "gZ2fz3VSr5c/2.jpg", + "gZ2fz3VSr5c/3.jpg", + "gZ2fz3VSr5c/4.jpg", + "gZ2fz3VSr5c/5.jpg", + "gZ2fz3VSr5c/6.jpg", + "gZ2fz3VSr5c/7.jpg", + "gZ2fz3VSr5c/8.jpg", + "gZ2fz3VSr5c/9.jpg", + "gZ2fz3VSr5c/10.jpg", + "gZ2fz3VSr5c/11.jpg", + "gZ2fz3VSr5c/12.jpg", + "gZ2fz3VSr5c/13.jpg", + "gZ2fz3VSr5c/14.jpg", + "gZ2fz3VSr5c/15.jpg", + "gZ2fz3VSr5c/16.jpg", + "gZ2fz3VSr5c/17.jpg", + "gZ2fz3VSr5c/18.jpg", + "gZ2fz3VSr5c/19.jpg", + "gZ2fz3VSr5c/20.jpg", + "gZ2fz3VSr5c/21.jpg", + "gZ2fz3VSr5c/22.jpg", + "gZ2fz3VSr5c/23.jpg", + "gZ2fz3VSr5c/24.jpg", + "gZ2fz3VSr5c/25.jpg", + "gZ2fz3VSr5c/26.jpg", + "gZ2fz3VSr5c/27.jpg", + "gZ2fz3VSr5c/28.jpg", + "gZ2fz3VSr5c/29.jpg", + "gZ2fz3VSr5c/30.jpg", + "gZ2fz3VSr5c/31.jpg", + "gZ2fz3VSr5c/32.jpg", + "gZ2fz3VSr5c/33.jpg", + "gZ2fz3VSr5c/34.jpg", + "gZ2fz3VSr5c/35.jpg", + 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"rZ8ZbsC9f7c/44.jpg", + "rZ8ZbsC9f7c/45.jpg", + "rZ8ZbsC9f7c/46.jpg", + "rZ8ZbsC9f7c/47.jpg", + "rZ8ZbsC9f7c/48.jpg", + "rZ8ZbsC9f7c/49.jpg", + "rZ8ZbsC9f7c/50.jpg", + "rZ8ZbsC9f7c/51.jpg", + "rZ8ZbsC9f7c/52.jpg", + "rZ8ZbsC9f7c/53.jpg", + "rZ8ZbsC9f7c/54.jpg", + "rZ8ZbsC9f7c/55.jpg", + "rZ8ZbsC9f7c/56.jpg", + "rZ8ZbsC9f7c/57.jpg", + "rZ8ZbsC9f7c/58.jpg", + "rZ8ZbsC9f7c/59.jpg", + "rZ8ZbsC9f7c/60.jpg", + "rZ8ZbsC9f7c/61.jpg", + "rZ8ZbsC9f7c/62.jpg", + "rZ8ZbsC9f7c/63.jpg" + ], + "prompt": "What total substances were put into the liquid nitrogen in the video?" + }, + "output": { + "text": "There were four in total, in order: roses, plastic balls, carbon dioxide, and oxygen." + } + }, + { + "id": "vc_closeset_sciencevideorecognition_0016", + "input": { + "video_file_list": [ + "Eg64S0DhAaI/0.jpg", + "Eg64S0DhAaI/1.jpg", + "Eg64S0DhAaI/2.jpg", + "Eg64S0DhAaI/3.jpg", + "Eg64S0DhAaI/4.jpg", + "Eg64S0DhAaI/5.jpg", + "Eg64S0DhAaI/6.jpg", + "Eg64S0DhAaI/7.jpg", + "Eg64S0DhAaI/8.jpg", + "Eg64S0DhAaI/9.jpg", + "Eg64S0DhAaI/10.jpg", + "Eg64S0DhAaI/11.jpg", + "Eg64S0DhAaI/12.jpg", + "Eg64S0DhAaI/13.jpg", + "Eg64S0DhAaI/14.jpg", + "Eg64S0DhAaI/15.jpg", + "Eg64S0DhAaI/16.jpg", + "Eg64S0DhAaI/17.jpg", + "Eg64S0DhAaI/18.jpg", + "Eg64S0DhAaI/19.jpg", + "Eg64S0DhAaI/20.jpg", + "Eg64S0DhAaI/21.jpg", + "Eg64S0DhAaI/22.jpg", + "Eg64S0DhAaI/23.jpg", + "Eg64S0DhAaI/24.jpg", + "Eg64S0DhAaI/25.jpg", + "Eg64S0DhAaI/26.jpg", + "Eg64S0DhAaI/27.jpg", + "Eg64S0DhAaI/28.jpg", + "Eg64S0DhAaI/29.jpg", + "Eg64S0DhAaI/30.jpg", + "Eg64S0DhAaI/31.jpg", + "Eg64S0DhAaI/32.jpg", + "Eg64S0DhAaI/33.jpg", + "Eg64S0DhAaI/34.jpg", + "Eg64S0DhAaI/35.jpg", + "Eg64S0DhAaI/36.jpg", + "Eg64S0DhAaI/37.jpg", + "Eg64S0DhAaI/38.jpg", + "Eg64S0DhAaI/39.jpg", + "Eg64S0DhAaI/40.jpg", + "Eg64S0DhAaI/41.jpg", + "Eg64S0DhAaI/42.jpg", + "Eg64S0DhAaI/43.jpg", + "Eg64S0DhAaI/44.jpg", + "Eg64S0DhAaI/45.jpg", + "Eg64S0DhAaI/46.jpg", + "Eg64S0DhAaI/47.jpg", + "Eg64S0DhAaI/48.jpg", + "Eg64S0DhAaI/49.jpg", + "Eg64S0DhAaI/50.jpg", + "Eg64S0DhAaI/51.jpg", + "Eg64S0DhAaI/52.jpg", + "Eg64S0DhAaI/53.jpg", + "Eg64S0DhAaI/54.jpg", + "Eg64S0DhAaI/55.jpg", + "Eg64S0DhAaI/56.jpg", + "Eg64S0DhAaI/57.jpg", + "Eg64S0DhAaI/58.jpg", + "Eg64S0DhAaI/59.jpg", + "Eg64S0DhAaI/60.jpg", + "Eg64S0DhAaI/61.jpg", + "Eg64S0DhAaI/62.jpg", + "Eg64S0DhAaI/63.jpg" + ], + "prompt": "According\u00a0to\u00a0the\u00a0video,\u00a0what\u00a0color\u00a0is\u00a0the\u00a0sugar\u00a0and\u00a0caustic\u00a0soda\u00a0solution?" + }, + "output": { + "text": "The\u00a0sugar\u00a0and\u00a0caustic\u00a0soda\u00a0solution\u00a0is\u00a0transparent." + } + }, + { + "id": "vc_closeset_sciencevideorecognition_0003", + "input": { + "video_file_list": [ + "rZ8ZbsC9f7c/0.jpg", + "rZ8ZbsC9f7c/1.jpg", + "rZ8ZbsC9f7c/2.jpg", + "rZ8ZbsC9f7c/3.jpg", + "rZ8ZbsC9f7c/4.jpg", + "rZ8ZbsC9f7c/5.jpg", + "rZ8ZbsC9f7c/6.jpg", + "rZ8ZbsC9f7c/7.jpg", + "rZ8ZbsC9f7c/8.jpg", + "rZ8ZbsC9f7c/9.jpg", + "rZ8ZbsC9f7c/10.jpg", + "rZ8ZbsC9f7c/11.jpg", + "rZ8ZbsC9f7c/12.jpg", + "rZ8ZbsC9f7c/13.jpg", + "rZ8ZbsC9f7c/14.jpg", + "rZ8ZbsC9f7c/15.jpg", + "rZ8ZbsC9f7c/16.jpg", + "rZ8ZbsC9f7c/17.jpg", + "rZ8ZbsC9f7c/18.jpg", + "rZ8ZbsC9f7c/19.jpg", + "rZ8ZbsC9f7c/20.jpg", + "rZ8ZbsC9f7c/21.jpg", + "rZ8ZbsC9f7c/22.jpg", + "rZ8ZbsC9f7c/23.jpg", + "rZ8ZbsC9f7c/24.jpg", + "rZ8ZbsC9f7c/25.jpg", + "rZ8ZbsC9f7c/26.jpg", + "rZ8ZbsC9f7c/27.jpg", + "rZ8ZbsC9f7c/28.jpg", + "rZ8ZbsC9f7c/29.jpg", + "rZ8ZbsC9f7c/30.jpg", + "rZ8ZbsC9f7c/31.jpg", + "rZ8ZbsC9f7c/32.jpg", + "rZ8ZbsC9f7c/33.jpg", + "rZ8ZbsC9f7c/34.jpg", + "rZ8ZbsC9f7c/35.jpg", + "rZ8ZbsC9f7c/36.jpg", + "rZ8ZbsC9f7c/37.jpg", + "rZ8ZbsC9f7c/38.jpg", + "rZ8ZbsC9f7c/39.jpg", + "rZ8ZbsC9f7c/40.jpg", + "rZ8ZbsC9f7c/41.jpg", + "rZ8ZbsC9f7c/42.jpg", + "rZ8ZbsC9f7c/43.jpg", + "rZ8ZbsC9f7c/44.jpg", + "rZ8ZbsC9f7c/45.jpg", + "rZ8ZbsC9f7c/46.jpg", + "rZ8ZbsC9f7c/47.jpg", + "rZ8ZbsC9f7c/48.jpg", + "rZ8ZbsC9f7c/49.jpg", + "rZ8ZbsC9f7c/50.jpg", + "rZ8ZbsC9f7c/51.jpg", + "rZ8ZbsC9f7c/52.jpg", + "rZ8ZbsC9f7c/53.jpg", + "rZ8ZbsC9f7c/54.jpg", + "rZ8ZbsC9f7c/55.jpg", + "rZ8ZbsC9f7c/56.jpg", + "rZ8ZbsC9f7c/57.jpg", + "rZ8ZbsC9f7c/58.jpg", + "rZ8ZbsC9f7c/59.jpg", + "rZ8ZbsC9f7c/60.jpg", + "rZ8ZbsC9f7c/61.jpg", + "rZ8ZbsC9f7c/62.jpg", + "rZ8ZbsC9f7c/63.jpg" + ], + "prompt": "What is the blue liquid at the end of the video?" + }, + "output": { + "text": "It is oxygen in the liquid state. Liquid oxygen is a light blue liquid and is highly paramagnetic." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/ShapeMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/ShapeMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f0d057a2dbc44202fe8253ac32df4fae0b89893b --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/ShapeMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm0688", + "input": { + "video_folder": "./images/0688", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 3 1 4." + }, + "output": {} + }, + { + "id": "vm0738", + "input": { + "video_folder": "./images/0738", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 8 5 7 3 4 1 2 6." + }, + "output": {} + }, + { + "id": "vm0689", + "input": { + "video_folder": "./images/0689", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 4 1 2 6 3 7." + }, + "output": {} + }, + { + "id": "vm1070", + "input": { + "video_folder": "./images/1070", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 8 5 2 3 1 6 4 7." + }, + "output": {} + }, + { + "id": "vm1450", + "input": { + "video_folder": "./images/1450", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: Image 4 Image 2 Image 3." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/SignLanguageVideoRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/SignLanguageVideoRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0efd1a995df0c4977212e6b7666f5642b8b0dad8 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/SignLanguageVideoRecognition/annotation.json @@ -0,0 +1,226 @@ +{ + "task": "SignLanguageVideoRecognition", + "data_source": "WLASL2000", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_signlanguagevideorecognition_0167", + "input": { + "video_file_list": [ + "62113/frame_001.jpg", + "62113/frame_002.jpg", + "62113/frame_003.jpg", + "62113/frame_004.jpg", + "62113/frame_005.jpg", + "62113/frame_006.jpg", + "62113/frame_007.jpg", + "62113/frame_008.jpg", + "62113/frame_009.jpg", + "62113/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "wait" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0647", + "input": { + "video_file_list": [ + "13106/frame_001.jpg", + "13106/frame_002.jpg", + "13106/frame_003.jpg", + "13106/frame_004.jpg", + "13106/frame_005.jpg", + "13106/frame_006.jpg", + "13106/frame_007.jpg", + "13106/frame_008.jpg", + "13106/frame_009.jpg", + "13106/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "convert" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0304", + "input": { + "video_file_list": [ + "06613/frame_001.jpg", + "06613/frame_002.jpg", + "06613/frame_003.jpg", + "06613/frame_004.jpg", + "06613/frame_005.jpg", + "06613/frame_006.jpg", + "06613/frame_007.jpg", + "06613/frame_008.jpg", + "06613/frame_009.jpg", + "06613/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "blend" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0831", + "input": { + "video_file_list": [ + "65757/frame_001.jpg", + "65757/frame_002.jpg", + "65757/frame_003.jpg", + "65757/frame_004.jpg", + "65757/frame_005.jpg", + "65757/frame_006.jpg", + "65757/frame_007.jpg", + "65757/frame_008.jpg", + "65757/frame_009.jpg", + "65757/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "forbid" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0319", + "input": { + "video_file_list": [ + "19114/frame_001.jpg", + "19114/frame_002.jpg", + "19114/frame_003.jpg", + "19114/frame_004.jpg", + "19114/frame_005.jpg", + "19114/frame_006.jpg", + "19114/frame_007.jpg", + "19114/frame_008.jpg", + "19114/frame_009.jpg", + "19114/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "end" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0412", + "input": { + "video_file_list": [ + "69264/frame_001.jpg", + "69264/frame_002.jpg", + "69264/frame_003.jpg", + "69264/frame_004.jpg", + "69264/frame_005.jpg", + "69264/frame_006.jpg", + "69264/frame_007.jpg", + "69264/frame_008.jpg", + "69264/frame_009.jpg", + "69264/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "cereal" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0708", + "input": { + "video_file_list": [ + "36801/frame_001.jpg", + "36801/frame_002.jpg", + "36801/frame_003.jpg", + "36801/frame_004.jpg", + "36801/frame_005.jpg", + "36801/frame_006.jpg", + "36801/frame_007.jpg", + "36801/frame_008.jpg", + "36801/frame_009.jpg", + "36801/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "moose" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0471", + "input": { + "video_file_list": [ + "38685/frame_001.jpg", + "38685/frame_002.jpg", + "38685/frame_003.jpg", + "38685/frame_004.jpg", + "38685/frame_005.jpg", + "38685/frame_006.jpg", + "38685/frame_007.jpg", + "38685/frame_008.jpg", + "38685/frame_009.jpg", + "38685/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "north" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0262", + "input": { + "video_file_list": [ + "35344/frame_001.jpg", + "35344/frame_002.jpg", + "35344/frame_003.jpg", + "35344/frame_004.jpg", + "35344/frame_005.jpg", + "35344/frame_006.jpg", + "35344/frame_007.jpg", + "35344/frame_008.jpg", + "35344/frame_009.jpg", + "35344/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "measure" + } + }, + { + "id": "vc_closeset_signlanguagevideorecognition_0763", + "input": { + "video_file_list": [ + "05741/frame_001.jpg", + "05741/frame_002.jpg", + "05741/frame_003.jpg", + "05741/frame_004.jpg", + "05741/frame_005.jpg", + "05741/frame_006.jpg", + "05741/frame_007.jpg", + "05741/frame_008.jpg", + "05741/frame_009.jpg", + "05741/frame_010.jpg" + ], + "prompt": "Which word does the sign language in the video represent?" + }, + "output": { + "text": "before" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/SizeMatch/annotation.json b/Scope-A/S-A-Quick/video/comprehension/SizeMatch/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b3044394ff725bf5a61bb24274af8fefa7cbb864 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/SizeMatch/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object matching", + "data_source": "MMVM", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vm0308", + "input": { + "video_folder": "./images/0308", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 1." + }, + "output": {} + }, + { + "id": "vm0572", + "input": { + "video_folder": "./images/0572", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 7 6 3 2 1 5 8 4." + }, + "output": {} + }, + { + "id": "vm0525", + "input": { + "video_folder": "./images/0525", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 2 7 1 3 4 6 5." + }, + "output": {} + }, + { + "id": "vm0154", + "input": { + "video_folder": "./images/0154", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 10 3 2 1 6 7 4 5 8 9." + }, + "output": {} + }, + { + "id": "vm0379", + "input": { + "video_folder": "./images/0379", + "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 10 13 6 5 3 8 11 1 12 7 4 9 2." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/SportsAndExcerciseVideoCaptioning/annotation.json b/Scope-A/S-A-Quick/video/comprehension/SportsAndExcerciseVideoCaptioning/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..8a922d708e54042e776715b894393ba8cbe0fbd9 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/SportsAndExcerciseVideoCaptioning/annotation.json @@ -0,0 +1,412 @@ +{ + "task": "SportsAndExcerciseVideoCaptioning", + "data_source": "UCF-101, k600", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_1090", + "input": { + "video_file_list": [ + "gzTl7f4HBkk_000010_000020/frame_00000.jpg", + "gzTl7f4HBkk_000010_000020/frame_00009.jpg", + "gzTl7f4HBkk_000010_000020/frame_00018.jpg", + "gzTl7f4HBkk_000010_000020/frame_00027.jpg", + "gzTl7f4HBkk_000010_000020/frame_00036.jpg", + "gzTl7f4HBkk_000010_000020/frame_00045.jpg", + "gzTl7f4HBkk_000010_000020/frame_00054.jpg", + "gzTl7f4HBkk_000010_000020/frame_00063.jpg", + "gzTl7f4HBkk_000010_000020/frame_00072.jpg", + "gzTl7f4HBkk_000010_000020/frame_00081.jpg", + "gzTl7f4HBkk_000010_000020/frame_00090.jpg", + "gzTl7f4HBkk_000010_000020/frame_00099.jpg", + "gzTl7f4HBkk_000010_000020/frame_00108.jpg", + "gzTl7f4HBkk_000010_000020/frame_00117.jpg", + "gzTl7f4HBkk_000010_000020/frame_00126.jpg", + "gzTl7f4HBkk_000010_000020/frame_00135.jpg", + "gzTl7f4HBkk_000010_000020/frame_00144.jpg", + "gzTl7f4HBkk_000010_000020/frame_00153.jpg", + "gzTl7f4HBkk_000010_000020/frame_00162.jpg", + "gzTl7f4HBkk_000010_000020/frame_00171.jpg", + "gzTl7f4HBkk_000010_000020/frame_00180.jpg", + "gzTl7f4HBkk_000010_000020/frame_00189.jpg", + "gzTl7f4HBkk_000010_000020/frame_00198.jpg", + "gzTl7f4HBkk_000010_000020/frame_00207.jpg", + "gzTl7f4HBkk_000010_000020/frame_00216.jpg", + "gzTl7f4HBkk_000010_000020/frame_00225.jpg", + "gzTl7f4HBkk_000010_000020/frame_00234.jpg", + "gzTl7f4HBkk_000010_000020/frame_00243.jpg", + "gzTl7f4HBkk_000010_000020/frame_00252.jpg", + "gzTl7f4HBkk_000010_000020/frame_00261.jpg", + "gzTl7f4HBkk_000010_000020/frame_00270.jpg", + "gzTl7f4HBkk_000010_000020/frame_00279.jpg", + "gzTl7f4HBkk_000010_000020/frame_00288.jpg", + "gzTl7f4HBkk_000010_000020/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, a woman performs a hammer throw, spinning around and releasing the hammer onto the field before walking away." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_1319", + "input": { + "video_file_list": [ + "iMb7VImlDtE_000136_000146/frame_00000.jpg", + "iMb7VImlDtE_000136_000146/frame_00008.jpg", + "iMb7VImlDtE_000136_000146/frame_00016.jpg", + "iMb7VImlDtE_000136_000146/frame_00024.jpg", + "iMb7VImlDtE_000136_000146/frame_00032.jpg", + "iMb7VImlDtE_000136_000146/frame_00040.jpg", + "iMb7VImlDtE_000136_000146/frame_00048.jpg", + "iMb7VImlDtE_000136_000146/frame_00056.jpg", + "iMb7VImlDtE_000136_000146/frame_00064.jpg", + "iMb7VImlDtE_000136_000146/frame_00072.jpg", + "iMb7VImlDtE_000136_000146/frame_00080.jpg", + "iMb7VImlDtE_000136_000146/frame_00088.jpg", + "iMb7VImlDtE_000136_000146/frame_00096.jpg", + "iMb7VImlDtE_000136_000146/frame_00104.jpg", + "iMb7VImlDtE_000136_000146/frame_00112.jpg", + "iMb7VImlDtE_000136_000146/frame_00120.jpg", + "iMb7VImlDtE_000136_000146/frame_00128.jpg", + "iMb7VImlDtE_000136_000146/frame_00136.jpg", + "iMb7VImlDtE_000136_000146/frame_00144.jpg", + "iMb7VImlDtE_000136_000146/frame_00152.jpg", + "iMb7VImlDtE_000136_000146/frame_00160.jpg", + "iMb7VImlDtE_000136_000146/frame_00168.jpg", + "iMb7VImlDtE_000136_000146/frame_00176.jpg", + "iMb7VImlDtE_000136_000146/frame_00184.jpg", + "iMb7VImlDtE_000136_000146/frame_00192.jpg", + "iMb7VImlDtE_000136_000146/frame_00200.jpg", + "iMb7VImlDtE_000136_000146/frame_00208.jpg", + "iMb7VImlDtE_000136_000146/frame_00216.jpg", + "iMb7VImlDtE_000136_000146/frame_00224.jpg", + "iMb7VImlDtE_000136_000146/frame_00232.jpg", + "iMb7VImlDtE_000136_000146/frame_00240.jpg", + "iMb7VImlDtE_000136_000146/frame_00248.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Jetskiing involves thrilling maneuvers and stunts on the water, including jumps over waves and smooth navigation." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0543", + "input": { + "video_file_list": [ + "c8adrgYkcxM_000009_000019/frame_00000.jpg", + "c8adrgYkcxM_000009_000019/frame_00010.jpg", + "c8adrgYkcxM_000009_000019/frame_00020.jpg", + "c8adrgYkcxM_000009_000019/frame_00030.jpg", + "c8adrgYkcxM_000009_000019/frame_00040.jpg", + 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"c8adrgYkcxM_000009_000019/frame_00260.jpg", + "c8adrgYkcxM_000009_000019/frame_00270.jpg", + "c8adrgYkcxM_000009_000019/frame_00280.jpg", + "c8adrgYkcxM_000009_000019/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "In the video, two girls somersault on the living room floor." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0840", + "input": { + "video_file_list": [ + "2fV1UcOqZlQ_000001_000011/frame_00000.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00009.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00018.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00027.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00036.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00045.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00054.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00063.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00072.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00081.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00090.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00099.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00108.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00117.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00126.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00135.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00144.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00153.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00162.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00171.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00180.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00189.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00198.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00207.jpg", + "2fV1UcOqZlQ_000001_000011/frame_00216.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows a person jumping a bicycle over a dirt hill in a grassy field with trees in the background." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0529", + "input": { + "video_file_list": [ + "v_VolleyballSpiking_g01_c03/frame_00000.jpg", + "v_VolleyballSpiking_g01_c03/frame_00009.jpg", + "v_VolleyballSpiking_g01_c03/frame_00018.jpg", + "v_VolleyballSpiking_g01_c03/frame_00027.jpg", + "v_VolleyballSpiking_g01_c03/frame_00036.jpg", + "v_VolleyballSpiking_g01_c03/frame_00045.jpg", + "v_VolleyballSpiking_g01_c03/frame_00054.jpg", + "v_VolleyballSpiking_g01_c03/frame_00063.jpg", + "v_VolleyballSpiking_g01_c03/frame_00072.jpg", + "v_VolleyballSpiking_g01_c03/frame_00081.jpg", + "v_VolleyballSpiking_g01_c03/frame_00090.jpg", + "v_VolleyballSpiking_g01_c03/frame_00099.jpg", + "v_VolleyballSpiking_g01_c03/frame_00108.jpg", + "v_VolleyballSpiking_g01_c03/frame_00117.jpg", + "v_VolleyballSpiking_g01_c03/frame_00126.jpg", + "v_VolleyballSpiking_g01_c03/frame_00135.jpg", + "v_VolleyballSpiking_g01_c03/frame_00144.jpg", + "v_VolleyballSpiking_g01_c03/frame_00153.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Volleyball spiking is demonstrated as two players jump to hit the ball over the net." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_1652", + "input": { + "video_file_list": [ + "ydqZihOjJjM_000009_000019/frame_00000.jpg", + "ydqZihOjJjM_000009_000019/frame_00010.jpg", + "ydqZihOjJjM_000009_000019/frame_00020.jpg", + "ydqZihOjJjM_000009_000019/frame_00030.jpg", + "ydqZihOjJjM_000009_000019/frame_00040.jpg", + "ydqZihOjJjM_000009_000019/frame_00050.jpg", + "ydqZihOjJjM_000009_000019/frame_00060.jpg", + "ydqZihOjJjM_000009_000019/frame_00070.jpg", + "ydqZihOjJjM_000009_000019/frame_00080.jpg", + "ydqZihOjJjM_000009_000019/frame_00090.jpg", + "ydqZihOjJjM_000009_000019/frame_00100.jpg", + "ydqZihOjJjM_000009_000019/frame_00110.jpg", + "ydqZihOjJjM_000009_000019/frame_00120.jpg", + "ydqZihOjJjM_000009_000019/frame_00130.jpg", + "ydqZihOjJjM_000009_000019/frame_00140.jpg", + "ydqZihOjJjM_000009_000019/frame_00150.jpg", + "ydqZihOjJjM_000009_000019/frame_00160.jpg", + "ydqZihOjJjM_000009_000019/frame_00170.jpg", + "ydqZihOjJjM_000009_000019/frame_00180.jpg", + "ydqZihOjJjM_000009_000019/frame_00190.jpg", + "ydqZihOjJjM_000009_000019/frame_00200.jpg", + "ydqZihOjJjM_000009_000019/frame_00210.jpg", + "ydqZihOjJjM_000009_000019/frame_00220.jpg", + "ydqZihOjJjM_000009_000019/frame_00230.jpg", + "ydqZihOjJjM_000009_000019/frame_00240.jpg", + "ydqZihOjJjM_000009_000019/frame_00250.jpg", + "ydqZihOjJjM_000009_000019/frame_00260.jpg", + "ydqZihOjJjM_000009_000019/frame_00270.jpg", + "ydqZihOjJjM_000009_000019/frame_00280.jpg", + "ydqZihOjJjM_000009_000019/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Surfing in choppy waters, the rider skillfully maneuvers the board to stay balanced on large waves." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_1057", + "input": { + "video_file_list": [ + "v_Basketball_g01_c03/frame_00000.jpg", + "v_Basketball_g01_c03/frame_00009.jpg", + "v_Basketball_g01_c03/frame_00018.jpg", + "v_Basketball_g01_c03/frame_00027.jpg", + "v_Basketball_g01_c03/frame_00036.jpg", + "v_Basketball_g01_c03/frame_00045.jpg", + "v_Basketball_g01_c03/frame_00054.jpg", + "v_Basketball_g01_c03/frame_00063.jpg", + "v_Basketball_g01_c03/frame_00072.jpg", + "v_Basketball_g01_c03/frame_00081.jpg", + "v_Basketball_g01_c03/frame_00090.jpg", + "v_Basketball_g01_c03/frame_00099.jpg", + "v_Basketball_g01_c03/frame_00108.jpg", + "v_Basketball_g01_c03/frame_00117.jpg", + "v_Basketball_g01_c03/frame_00126.jpg", + "v_Basketball_g01_c03/frame_00135.jpg", + "v_Basketball_g01_c03/frame_00144.jpg", + "v_Basketball_g01_c03/frame_00153.jpg", + "v_Basketball_g01_c03/frame_00162.jpg", + "v_Basketball_g01_c03/frame_00171.jpg", + "v_Basketball_g01_c03/frame_00180.jpg", + "v_Basketball_g01_c03/frame_00189.jpg", + "v_Basketball_g01_c03/frame_00198.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows two men playing basketball, dribbling and shooting the ball into the hoop." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0488", + "input": { + "video_file_list": [ + "CPzI6qhS9rc_000008_000018/frame_00000.jpg", + "CPzI6qhS9rc_000008_000018/frame_00010.jpg", + "CPzI6qhS9rc_000008_000018/frame_00020.jpg", + "CPzI6qhS9rc_000008_000018/frame_00030.jpg", + "CPzI6qhS9rc_000008_000018/frame_00040.jpg", + "CPzI6qhS9rc_000008_000018/frame_00050.jpg", + "CPzI6qhS9rc_000008_000018/frame_00060.jpg", + "CPzI6qhS9rc_000008_000018/frame_00070.jpg", + "CPzI6qhS9rc_000008_000018/frame_00080.jpg", + "CPzI6qhS9rc_000008_000018/frame_00090.jpg", + "CPzI6qhS9rc_000008_000018/frame_00100.jpg", + "CPzI6qhS9rc_000008_000018/frame_00110.jpg", + "CPzI6qhS9rc_000008_000018/frame_00120.jpg", + "CPzI6qhS9rc_000008_000018/frame_00130.jpg", + "CPzI6qhS9rc_000008_000018/frame_00140.jpg", + "CPzI6qhS9rc_000008_000018/frame_00150.jpg", + "CPzI6qhS9rc_000008_000018/frame_00160.jpg", + "CPzI6qhS9rc_000008_000018/frame_00170.jpg", + "CPzI6qhS9rc_000008_000018/frame_00180.jpg", + "CPzI6qhS9rc_000008_000018/frame_00190.jpg", + "CPzI6qhS9rc_000008_000018/frame_00200.jpg", + "CPzI6qhS9rc_000008_000018/frame_00210.jpg", + "CPzI6qhS9rc_000008_000018/frame_00220.jpg", + "CPzI6qhS9rc_000008_000018/frame_00230.jpg", + "CPzI6qhS9rc_000008_000018/frame_00240.jpg", + "CPzI6qhS9rc_000008_000018/frame_00250.jpg", + "CPzI6qhS9rc_000008_000018/frame_00260.jpg", + "CPzI6qhS9rc_000008_000018/frame_00270.jpg", + "CPzI6qhS9rc_000008_000018/frame_00280.jpg", + "CPzI6qhS9rc_000008_000018/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "The video shows two people playing ping pong, hitting the ball back and forth with paddles to score points." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0897", + "input": { + "video_file_list": [ + "jY-gi70qKns_000000_000010/frame_00000.jpg", + "jY-gi70qKns_000000_000010/frame_00010.jpg", + "jY-gi70qKns_000000_000010/frame_00020.jpg", + "jY-gi70qKns_000000_000010/frame_00030.jpg", + "jY-gi70qKns_000000_000010/frame_00040.jpg", + "jY-gi70qKns_000000_000010/frame_00050.jpg", + "jY-gi70qKns_000000_000010/frame_00060.jpg", + "jY-gi70qKns_000000_000010/frame_00070.jpg", + "jY-gi70qKns_000000_000010/frame_00080.jpg", + "jY-gi70qKns_000000_000010/frame_00090.jpg", + "jY-gi70qKns_000000_000010/frame_00100.jpg", + "jY-gi70qKns_000000_000010/frame_00110.jpg", + "jY-gi70qKns_000000_000010/frame_00120.jpg", + "jY-gi70qKns_000000_000010/frame_00130.jpg", + "jY-gi70qKns_000000_000010/frame_00140.jpg", + "jY-gi70qKns_000000_000010/frame_00150.jpg", + "jY-gi70qKns_000000_000010/frame_00160.jpg", + "jY-gi70qKns_000000_000010/frame_00170.jpg", + "jY-gi70qKns_000000_000010/frame_00180.jpg", + "jY-gi70qKns_000000_000010/frame_00190.jpg", + "jY-gi70qKns_000000_000010/frame_00200.jpg", + "jY-gi70qKns_000000_000010/frame_00210.jpg", + "jY-gi70qKns_000000_000010/frame_00220.jpg", + "jY-gi70qKns_000000_000010/frame_00230.jpg", + "jY-gi70qKns_000000_000010/frame_00240.jpg", + "jY-gi70qKns_000000_000010/frame_00250.jpg", + "jY-gi70qKns_000000_000010/frame_00260.jpg", + "jY-gi70qKns_000000_000010/frame_00270.jpg", + "jY-gi70qKns_000000_000010/frame_00280.jpg", + "jY-gi70qKns_000000_000010/frame_00290.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Casting his fishing line into the water, the man stands on the dock and waits patiently for a fish to bite." + } + }, + { + "id": "vc_closeset_sportsandexcercisevideocaptioning_0903", + "input": { + "video_file_list": [ + "KPn8FlPhKl0_000043_000053/frame_00000.jpg", + "KPn8FlPhKl0_000043_000053/frame_00009.jpg", + "KPn8FlPhKl0_000043_000053/frame_00018.jpg", + "KPn8FlPhKl0_000043_000053/frame_00027.jpg", + "KPn8FlPhKl0_000043_000053/frame_00036.jpg", + "KPn8FlPhKl0_000043_000053/frame_00045.jpg", + "KPn8FlPhKl0_000043_000053/frame_00054.jpg", + "KPn8FlPhKl0_000043_000053/frame_00063.jpg", + "KPn8FlPhKl0_000043_000053/frame_00072.jpg", + "KPn8FlPhKl0_000043_000053/frame_00081.jpg", + "KPn8FlPhKl0_000043_000053/frame_00090.jpg", + "KPn8FlPhKl0_000043_000053/frame_00099.jpg", + "KPn8FlPhKl0_000043_000053/frame_00108.jpg", + "KPn8FlPhKl0_000043_000053/frame_00117.jpg", + "KPn8FlPhKl0_000043_000053/frame_00126.jpg", + "KPn8FlPhKl0_000043_000053/frame_00135.jpg", + "KPn8FlPhKl0_000043_000053/frame_00144.jpg", + "KPn8FlPhKl0_000043_000053/frame_00153.jpg", + "KPn8FlPhKl0_000043_000053/frame_00162.jpg", + "KPn8FlPhKl0_000043_000053/frame_00171.jpg", + "KPn8FlPhKl0_000043_000053/frame_00180.jpg", + "KPn8FlPhKl0_000043_000053/frame_00189.jpg", + "KPn8FlPhKl0_000043_000053/frame_00198.jpg", + "KPn8FlPhKl0_000043_000053/frame_00207.jpg", + "KPn8FlPhKl0_000043_000053/frame_00216.jpg", + "KPn8FlPhKl0_000043_000053/frame_00225.jpg", + "KPn8FlPhKl0_000043_000053/frame_00234.jpg", + "KPn8FlPhKl0_000043_000053/frame_00243.jpg", + "KPn8FlPhKl0_000043_000053/frame_00252.jpg", + "KPn8FlPhKl0_000043_000053/frame_00261.jpg", + "KPn8FlPhKl0_000043_000053/frame_00270.jpg", + "KPn8FlPhKl0_000043_000053/frame_00279.jpg", + "KPn8FlPhKl0_000043_000053/frame_00288.jpg", + "KPn8FlPhKl0_000043_000053/frame_00297.jpg" + ], + "prompt": "Please describe the action in the video briefly." + }, + "output": { + "text": "Walking with the horse, a woman and a child ride in an outdoor arena. The child sits behind the woman who holds the reins, clearly enjoying the ride together." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/SportsVideoQuestionAnswering/annotation.json b/Scope-A/S-A-Quick/video/comprehension/SportsVideoQuestionAnswering/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..47bf4dd9c9518234a6a1bb5872f09ccef644d803 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/SportsVideoQuestionAnswering/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "SportsVideoQuestionAnswering", + "data_source": "vcgbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_sportsvideoquestionanswering_0013", + "input": { + "video_file_list": [ + "oMnEH2-aXR8/0.jpg", + "oMnEH2-aXR8/1.jpg", + "oMnEH2-aXR8/2.jpg", + "oMnEH2-aXR8/3.jpg", + "oMnEH2-aXR8/4.jpg", + "oMnEH2-aXR8/5.jpg", + "oMnEH2-aXR8/6.jpg", + "oMnEH2-aXR8/7.jpg", + "oMnEH2-aXR8/8.jpg", + "oMnEH2-aXR8/9.jpg", + "oMnEH2-aXR8/10.jpg", + "oMnEH2-aXR8/11.jpg", + "oMnEH2-aXR8/12.jpg", + "oMnEH2-aXR8/13.jpg", + "oMnEH2-aXR8/14.jpg", + "oMnEH2-aXR8/15.jpg", + "oMnEH2-aXR8/16.jpg", + "oMnEH2-aXR8/17.jpg", + "oMnEH2-aXR8/18.jpg", + "oMnEH2-aXR8/19.jpg", + "oMnEH2-aXR8/20.jpg", + "oMnEH2-aXR8/21.jpg", + "oMnEH2-aXR8/22.jpg", + "oMnEH2-aXR8/23.jpg", + "oMnEH2-aXR8/24.jpg", + "oMnEH2-aXR8/25.jpg", + "oMnEH2-aXR8/26.jpg", + "oMnEH2-aXR8/27.jpg", + "oMnEH2-aXR8/28.jpg", + "oMnEH2-aXR8/29.jpg", + "oMnEH2-aXR8/30.jpg", + "oMnEH2-aXR8/31.jpg", + "oMnEH2-aXR8/32.jpg", + "oMnEH2-aXR8/33.jpg", + "oMnEH2-aXR8/34.jpg", + "oMnEH2-aXR8/35.jpg", + "oMnEH2-aXR8/36.jpg", + "oMnEH2-aXR8/37.jpg", + "oMnEH2-aXR8/38.jpg", + "oMnEH2-aXR8/39.jpg", + "oMnEH2-aXR8/40.jpg", + "oMnEH2-aXR8/41.jpg", + "oMnEH2-aXR8/42.jpg", + "oMnEH2-aXR8/43.jpg", + "oMnEH2-aXR8/44.jpg", + "oMnEH2-aXR8/45.jpg", + "oMnEH2-aXR8/46.jpg", + "oMnEH2-aXR8/47.jpg", + "oMnEH2-aXR8/48.jpg", + "oMnEH2-aXR8/49.jpg", + "oMnEH2-aXR8/50.jpg", + "oMnEH2-aXR8/51.jpg", + "oMnEH2-aXR8/52.jpg", + "oMnEH2-aXR8/53.jpg", + "oMnEH2-aXR8/54.jpg", + "oMnEH2-aXR8/55.jpg", + "oMnEH2-aXR8/56.jpg", + "oMnEH2-aXR8/57.jpg", + "oMnEH2-aXR8/58.jpg", + "oMnEH2-aXR8/59.jpg", + "oMnEH2-aXR8/60.jpg", + "oMnEH2-aXR8/61.jpg", + "oMnEH2-aXR8/62.jpg", + "oMnEH2-aXR8/63.jpg" + ], + "prompt": "What does the video primarily show about the match?" + }, + "output": { + "text": "The video primarily shows the athleticism, skill, and determination of the women competing in the qualifying event. It captures the players demonstrating agility, speed, and precision during the intense competition." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0190", + "input": { + "video_file_list": [ + "MD1DM5X64N0/0.jpg", + "MD1DM5X64N0/1.jpg", + "MD1DM5X64N0/2.jpg", + "MD1DM5X64N0/3.jpg", + "MD1DM5X64N0/4.jpg", + "MD1DM5X64N0/5.jpg", + "MD1DM5X64N0/6.jpg", + "MD1DM5X64N0/7.jpg", + "MD1DM5X64N0/8.jpg", + "MD1DM5X64N0/9.jpg", + "MD1DM5X64N0/10.jpg", + "MD1DM5X64N0/11.jpg", + "MD1DM5X64N0/12.jpg", + "MD1DM5X64N0/13.jpg", + "MD1DM5X64N0/14.jpg", + "MD1DM5X64N0/15.jpg", + "MD1DM5X64N0/16.jpg", + "MD1DM5X64N0/17.jpg", + "MD1DM5X64N0/18.jpg", + "MD1DM5X64N0/19.jpg", + "MD1DM5X64N0/20.jpg", + "MD1DM5X64N0/21.jpg", + "MD1DM5X64N0/22.jpg", + "MD1DM5X64N0/23.jpg", + "MD1DM5X64N0/24.jpg", + "MD1DM5X64N0/25.jpg", + "MD1DM5X64N0/26.jpg", + "MD1DM5X64N0/27.jpg", + "MD1DM5X64N0/28.jpg", + "MD1DM5X64N0/29.jpg", + "MD1DM5X64N0/30.jpg", + "MD1DM5X64N0/31.jpg", + "MD1DM5X64N0/32.jpg", + "MD1DM5X64N0/33.jpg", + "MD1DM5X64N0/34.jpg", + "MD1DM5X64N0/35.jpg", + "MD1DM5X64N0/36.jpg", + "MD1DM5X64N0/37.jpg", + "MD1DM5X64N0/38.jpg", + "MD1DM5X64N0/39.jpg", + "MD1DM5X64N0/40.jpg", + "MD1DM5X64N0/41.jpg", + "MD1DM5X64N0/42.jpg", + "MD1DM5X64N0/43.jpg", + "MD1DM5X64N0/44.jpg", + "MD1DM5X64N0/45.jpg", + "MD1DM5X64N0/46.jpg", + "MD1DM5X64N0/47.jpg", + "MD1DM5X64N0/48.jpg", + "MD1DM5X64N0/49.jpg", + "MD1DM5X64N0/50.jpg", + "MD1DM5X64N0/51.jpg", + "MD1DM5X64N0/52.jpg", + "MD1DM5X64N0/53.jpg", + "MD1DM5X64N0/54.jpg", + "MD1DM5X64N0/55.jpg", + "MD1DM5X64N0/56.jpg", + "MD1DM5X64N0/57.jpg", + "MD1DM5X64N0/58.jpg", + "MD1DM5X64N0/59.jpg", + "MD1DM5X64N0/60.jpg", + "MD1DM5X64N0/61.jpg", + "MD1DM5X64N0/62.jpg", + "MD1DM5X64N0/63.jpg" + ], + "prompt": "Can you provide a detailed walkthrough of the entire video from start to finish?" + }, + "output": { + "text": "The video opens with a charming scene featuring a horse holding a truck in its mouth, while a dog sits atop the truck. The truck belongs to Budweiser, a well-known beer brand under Anheuser-Busch Inc. based in St. Louis, Missouri. The delivery drivers are seen standing guard outside, seemingly amused by the unusual sight of the horse and dog interacting. Despite the initial impression of the horse holding the truck, it becomes apparent that the horse is actually enjoying the company of the dog, rather than exhibiting any intent to move the truck. This heartwarming scene captures a moment of unexpected friendship between two unlikely companions, adding a touch of whimsy to the delivery drivers' routine. The presence of the Budweiser truck and delivery drivers suggests that this interaction occurs during a delivery route, highlighting the unique moments that can unfold during everyday tasks. The video offers viewers a glimpse into the lighter side of the workday, as the horse and dog provide a moment of levity and joy amidst the responsibilities of the delivery drivers. In summary, the video showcases a delightful encounter between a horse and a dog, set against the backdrop of a Budweiser delivery route. Despite the horse's initial appearance of holding the truck, it becomes clear that the interaction is one of friendly companionship, bringing a smile to the faces of the delivery drivers and viewers alike." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0123", + "input": { + "video_file_list": [ + "4a4dlnwhQns/0.jpg", + "4a4dlnwhQns/1.jpg", + "4a4dlnwhQns/2.jpg", + "4a4dlnwhQns/3.jpg", + "4a4dlnwhQns/4.jpg", + "4a4dlnwhQns/5.jpg", + "4a4dlnwhQns/6.jpg", + "4a4dlnwhQns/7.jpg", + "4a4dlnwhQns/8.jpg", + "4a4dlnwhQns/9.jpg", + "4a4dlnwhQns/10.jpg", + "4a4dlnwhQns/11.jpg", + "4a4dlnwhQns/12.jpg", + "4a4dlnwhQns/13.jpg", + "4a4dlnwhQns/14.jpg", + "4a4dlnwhQns/15.jpg", + "4a4dlnwhQns/16.jpg", + "4a4dlnwhQns/17.jpg", + "4a4dlnwhQns/18.jpg", + "4a4dlnwhQns/19.jpg", + "4a4dlnwhQns/20.jpg", + "4a4dlnwhQns/21.jpg", + "4a4dlnwhQns/22.jpg", + "4a4dlnwhQns/23.jpg", + "4a4dlnwhQns/24.jpg", + "4a4dlnwhQns/25.jpg", + "4a4dlnwhQns/26.jpg", + "4a4dlnwhQns/27.jpg", + "4a4dlnwhQns/28.jpg", + 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expressing gratitude and delivering a closing message is included to provide a courteous acknowledgment of the viewership, creating a sense of appreciation and closure to the presented content." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0036", + "input": { + "video_file_list": [ + "7qtOsZ5W6SQ/0.jpg", + "7qtOsZ5W6SQ/1.jpg", + "7qtOsZ5W6SQ/2.jpg", + "7qtOsZ5W6SQ/3.jpg", + "7qtOsZ5W6SQ/4.jpg", + "7qtOsZ5W6SQ/5.jpg", + "7qtOsZ5W6SQ/6.jpg", + "7qtOsZ5W6SQ/7.jpg", + "7qtOsZ5W6SQ/8.jpg", + "7qtOsZ5W6SQ/9.jpg", + "7qtOsZ5W6SQ/10.jpg", + "7qtOsZ5W6SQ/11.jpg", + "7qtOsZ5W6SQ/12.jpg", + "7qtOsZ5W6SQ/13.jpg", + "7qtOsZ5W6SQ/14.jpg", + "7qtOsZ5W6SQ/15.jpg", + "7qtOsZ5W6SQ/16.jpg", + "7qtOsZ5W6SQ/17.jpg", + "7qtOsZ5W6SQ/18.jpg", + "7qtOsZ5W6SQ/19.jpg", + "7qtOsZ5W6SQ/20.jpg", + "7qtOsZ5W6SQ/21.jpg", + "7qtOsZ5W6SQ/22.jpg", + "7qtOsZ5W6SQ/23.jpg", + "7qtOsZ5W6SQ/24.jpg", + "7qtOsZ5W6SQ/25.jpg", + "7qtOsZ5W6SQ/26.jpg", + "7qtOsZ5W6SQ/27.jpg", + "7qtOsZ5W6SQ/28.jpg", + "7qtOsZ5W6SQ/29.jpg", + "7qtOsZ5W6SQ/30.jpg", + "7qtOsZ5W6SQ/31.jpg", + "7qtOsZ5W6SQ/32.jpg", + "7qtOsZ5W6SQ/33.jpg", + "7qtOsZ5W6SQ/34.jpg", + "7qtOsZ5W6SQ/35.jpg", + "7qtOsZ5W6SQ/36.jpg", + "7qtOsZ5W6SQ/37.jpg", + "7qtOsZ5W6SQ/38.jpg", + "7qtOsZ5W6SQ/39.jpg", + "7qtOsZ5W6SQ/40.jpg", + "7qtOsZ5W6SQ/41.jpg", + "7qtOsZ5W6SQ/42.jpg", + "7qtOsZ5W6SQ/43.jpg", + "7qtOsZ5W6SQ/44.jpg", + "7qtOsZ5W6SQ/45.jpg", + "7qtOsZ5W6SQ/46.jpg", + "7qtOsZ5W6SQ/47.jpg", + "7qtOsZ5W6SQ/48.jpg", + "7qtOsZ5W6SQ/49.jpg", + "7qtOsZ5W6SQ/50.jpg", + "7qtOsZ5W6SQ/51.jpg", + "7qtOsZ5W6SQ/52.jpg", + "7qtOsZ5W6SQ/53.jpg", + "7qtOsZ5W6SQ/54.jpg", + "7qtOsZ5W6SQ/55.jpg", + "7qtOsZ5W6SQ/56.jpg", + "7qtOsZ5W6SQ/57.jpg", + "7qtOsZ5W6SQ/58.jpg", + "7qtOsZ5W6SQ/59.jpg", + "7qtOsZ5W6SQ/60.jpg", + "7qtOsZ5W6SQ/61.jpg", + "7qtOsZ5W6SQ/62.jpg", + "7qtOsZ5W6SQ/63.jpg" + ], + "prompt": "What happens at the beginning of the video?" + }, + "output": { + "text": "The video commences with a woman addressing the audience, noting that it has been nearly a week since the Swiss signing day." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0105", + "input": { + "video_file_list": [ + "brOmUJuEqxQ/0.jpg", + "brOmUJuEqxQ/1.jpg", + "brOmUJuEqxQ/2.jpg", + "brOmUJuEqxQ/3.jpg", + "brOmUJuEqxQ/4.jpg", + "brOmUJuEqxQ/5.jpg", + "brOmUJuEqxQ/6.jpg", + "brOmUJuEqxQ/7.jpg", + "brOmUJuEqxQ/8.jpg", + "brOmUJuEqxQ/9.jpg", + "brOmUJuEqxQ/10.jpg", + "brOmUJuEqxQ/11.jpg", + "brOmUJuEqxQ/12.jpg", + "brOmUJuEqxQ/13.jpg", + "brOmUJuEqxQ/14.jpg", + "brOmUJuEqxQ/15.jpg", + "brOmUJuEqxQ/16.jpg", + "brOmUJuEqxQ/17.jpg", + "brOmUJuEqxQ/18.jpg", + "brOmUJuEqxQ/19.jpg", + "brOmUJuEqxQ/20.jpg", + "brOmUJuEqxQ/21.jpg", + "brOmUJuEqxQ/22.jpg", + "brOmUJuEqxQ/23.jpg", + "brOmUJuEqxQ/24.jpg", + "brOmUJuEqxQ/25.jpg", + "brOmUJuEqxQ/26.jpg", + "brOmUJuEqxQ/27.jpg", + "brOmUJuEqxQ/28.jpg", + "brOmUJuEqxQ/29.jpg", + "brOmUJuEqxQ/30.jpg", + "brOmUJuEqxQ/31.jpg", + "brOmUJuEqxQ/32.jpg", + "brOmUJuEqxQ/33.jpg", + "brOmUJuEqxQ/34.jpg", + "brOmUJuEqxQ/35.jpg", + "brOmUJuEqxQ/36.jpg", + "brOmUJuEqxQ/37.jpg", + "brOmUJuEqxQ/38.jpg", + "brOmUJuEqxQ/39.jpg", + "brOmUJuEqxQ/40.jpg", + "brOmUJuEqxQ/41.jpg", + "brOmUJuEqxQ/42.jpg", + "brOmUJuEqxQ/43.jpg", + "brOmUJuEqxQ/44.jpg", + "brOmUJuEqxQ/45.jpg", + "brOmUJuEqxQ/46.jpg", + "brOmUJuEqxQ/47.jpg", + "brOmUJuEqxQ/48.jpg", + "brOmUJuEqxQ/49.jpg", + "brOmUJuEqxQ/50.jpg", + "brOmUJuEqxQ/51.jpg", + "brOmUJuEqxQ/52.jpg", + "brOmUJuEqxQ/53.jpg", + "brOmUJuEqxQ/54.jpg", + "brOmUJuEqxQ/55.jpg", + "brOmUJuEqxQ/56.jpg", + "brOmUJuEqxQ/57.jpg", + "brOmUJuEqxQ/58.jpg", + "brOmUJuEqxQ/59.jpg", + "brOmUJuEqxQ/60.jpg", + "brOmUJuEqxQ/61.jpg", + "brOmUJuEqxQ/62.jpg", + "brOmUJuEqxQ/63.jpg" + ], + "prompt": "Can you describe the entire video from start to finish, including all key actions and events?" + }, + "output": { + "text": "The video begins with a visual presentation of a knight involved in an aperture fight, setting the tone for the rest of the content. Next, the scene shifts to two individuals, one dressed in black and the other in blue karate attire. These two men engage in a discussion focused on aperture, during which they introduce and demonstrate two specific techniques. The first technique involves the proper way to hold another person\u2019s neck in a presumably safer manner, emphasizing the importance of cupping the shoulder rather than directly holding the neck. The presenters also discuss the legality of this technique, mentioning their uncertainty about its legal standing. The second technique introduced is called the \"butterfly technique,\" although the summary does not provide detailed specifics about this method. The video concludes with a brief expression of gratitude, thanking the audience for watching and encouraging them to subscribe to the channel. Throughout, the video maintains a formal tone, ensuring a detailed yet concise overview of the key elements such as the discussion on aperture, demonstration of techniques, and the closing remarks." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0193", + "input": { + "video_file_list": [ + "l11KEqqX_XA/0.jpg", + "l11KEqqX_XA/1.jpg", + "l11KEqqX_XA/2.jpg", + "l11KEqqX_XA/3.jpg", + "l11KEqqX_XA/4.jpg", + "l11KEqqX_XA/5.jpg", + "l11KEqqX_XA/6.jpg", + "l11KEqqX_XA/7.jpg", + "l11KEqqX_XA/8.jpg", + "l11KEqqX_XA/9.jpg", + "l11KEqqX_XA/10.jpg", + "l11KEqqX_XA/11.jpg", + "l11KEqqX_XA/12.jpg", + "l11KEqqX_XA/13.jpg", + "l11KEqqX_XA/14.jpg", + "l11KEqqX_XA/15.jpg", + "l11KEqqX_XA/16.jpg", + "l11KEqqX_XA/17.jpg", + "l11KEqqX_XA/18.jpg", + "l11KEqqX_XA/19.jpg", + "l11KEqqX_XA/20.jpg", + "l11KEqqX_XA/21.jpg", + "l11KEqqX_XA/22.jpg", + "l11KEqqX_XA/23.jpg", + "l11KEqqX_XA/24.jpg", + "l11KEqqX_XA/25.jpg", + "l11KEqqX_XA/26.jpg", + "l11KEqqX_XA/27.jpg", + "l11KEqqX_XA/28.jpg", + "l11KEqqX_XA/29.jpg", + "l11KEqqX_XA/30.jpg", + "l11KEqqX_XA/31.jpg", + "l11KEqqX_XA/32.jpg", + "l11KEqqX_XA/33.jpg", + "l11KEqqX_XA/34.jpg", + "l11KEqqX_XA/35.jpg", + "l11KEqqX_XA/36.jpg", + "l11KEqqX_XA/37.jpg", + "l11KEqqX_XA/38.jpg", + "l11KEqqX_XA/39.jpg", + "l11KEqqX_XA/40.jpg", + "l11KEqqX_XA/41.jpg", + "l11KEqqX_XA/42.jpg", + "l11KEqqX_XA/43.jpg", + "l11KEqqX_XA/44.jpg", + "l11KEqqX_XA/45.jpg", + "l11KEqqX_XA/46.jpg", + "l11KEqqX_XA/47.jpg", + "l11KEqqX_XA/48.jpg", + "l11KEqqX_XA/49.jpg", + "l11KEqqX_XA/50.jpg", + "l11KEqqX_XA/51.jpg", + "l11KEqqX_XA/52.jpg", + "l11KEqqX_XA/53.jpg", + "l11KEqqX_XA/54.jpg", + "l11KEqqX_XA/55.jpg", + "l11KEqqX_XA/56.jpg", + "l11KEqqX_XA/57.jpg", + "l11KEqqX_XA/58.jpg", + "l11KEqqX_XA/59.jpg", + "l11KEqqX_XA/60.jpg", + "l11KEqqX_XA/61.jpg", + "l11KEqqX_XA/62.jpg", + "l11KEqqX_XA/63.jpg" + ], + "prompt": "What are the different segments shown in the video?" + }, + "output": { + "text": "The video begins with a slide discussing how Kirk Cousins will fit into Coach Zimmer's defensive scheme. It then transitions to showcasing a match between the Vikings and the Washington Redskins, followed by footage of the game with accompanying commentary." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0039", + "input": { + "video_file_list": [ + "3aclMDp-yng/0.jpg", + "3aclMDp-yng/1.jpg", + "3aclMDp-yng/2.jpg", + "3aclMDp-yng/3.jpg", + "3aclMDp-yng/4.jpg", + "3aclMDp-yng/5.jpg", + "3aclMDp-yng/6.jpg", + "3aclMDp-yng/7.jpg", + "3aclMDp-yng/8.jpg", + "3aclMDp-yng/9.jpg", + "3aclMDp-yng/10.jpg", + "3aclMDp-yng/11.jpg", + "3aclMDp-yng/12.jpg", + "3aclMDp-yng/13.jpg", + "3aclMDp-yng/14.jpg", + "3aclMDp-yng/15.jpg", + "3aclMDp-yng/16.jpg", + "3aclMDp-yng/17.jpg", + "3aclMDp-yng/18.jpg", + "3aclMDp-yng/19.jpg", + "3aclMDp-yng/20.jpg", + "3aclMDp-yng/21.jpg", + "3aclMDp-yng/22.jpg", + "3aclMDp-yng/23.jpg", + "3aclMDp-yng/24.jpg", + "3aclMDp-yng/25.jpg", + "3aclMDp-yng/26.jpg", + "3aclMDp-yng/27.jpg", + "3aclMDp-yng/28.jpg", + "3aclMDp-yng/29.jpg", + "3aclMDp-yng/30.jpg", + "3aclMDp-yng/31.jpg", + "3aclMDp-yng/32.jpg", + "3aclMDp-yng/33.jpg", + "3aclMDp-yng/34.jpg", + "3aclMDp-yng/35.jpg", + "3aclMDp-yng/36.jpg", + "3aclMDp-yng/37.jpg", + "3aclMDp-yng/38.jpg", + "3aclMDp-yng/39.jpg", + "3aclMDp-yng/40.jpg", + "3aclMDp-yng/41.jpg", + "3aclMDp-yng/42.jpg", + "3aclMDp-yng/43.jpg", + "3aclMDp-yng/44.jpg", + "3aclMDp-yng/45.jpg", + "3aclMDp-yng/46.jpg", + "3aclMDp-yng/47.jpg", + "3aclMDp-yng/48.jpg", + "3aclMDp-yng/49.jpg", + "3aclMDp-yng/50.jpg", + "3aclMDp-yng/51.jpg", + "3aclMDp-yng/52.jpg", + "3aclMDp-yng/53.jpg", + "3aclMDp-yng/54.jpg", + "3aclMDp-yng/55.jpg", + "3aclMDp-yng/56.jpg", + "3aclMDp-yng/57.jpg", + "3aclMDp-yng/58.jpg", + "3aclMDp-yng/59.jpg", + "3aclMDp-yng/60.jpg", + "3aclMDp-yng/61.jpg", + "3aclMDp-yng/62.jpg", + "3aclMDp-yng/63.jpg" + ], + "prompt": "What is the attire of the individuals featured in the video?" + }, + "output": { + "text": "The host, Anderson, is dressed in black and maroon. Odell Beckham Jr.'s attire is not mentioned. Pat McAfee is attired in a black dress." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0227", + "input": { + "video_file_list": [ + "4kdNIRV9NiA/0.jpg", + "4kdNIRV9NiA/1.jpg", + "4kdNIRV9NiA/2.jpg", + "4kdNIRV9NiA/3.jpg", + "4kdNIRV9NiA/4.jpg", + "4kdNIRV9NiA/5.jpg", + "4kdNIRV9NiA/6.jpg", + "4kdNIRV9NiA/7.jpg", + "4kdNIRV9NiA/8.jpg", + "4kdNIRV9NiA/9.jpg", + "4kdNIRV9NiA/10.jpg", + "4kdNIRV9NiA/11.jpg", + "4kdNIRV9NiA/12.jpg", + "4kdNIRV9NiA/13.jpg", + "4kdNIRV9NiA/14.jpg", + "4kdNIRV9NiA/15.jpg", + "4kdNIRV9NiA/16.jpg", + "4kdNIRV9NiA/17.jpg", + "4kdNIRV9NiA/18.jpg", + "4kdNIRV9NiA/19.jpg", + "4kdNIRV9NiA/20.jpg", + "4kdNIRV9NiA/21.jpg", + "4kdNIRV9NiA/22.jpg", + "4kdNIRV9NiA/23.jpg", + "4kdNIRV9NiA/24.jpg", + "4kdNIRV9NiA/25.jpg", + "4kdNIRV9NiA/26.jpg", + "4kdNIRV9NiA/27.jpg", + "4kdNIRV9NiA/28.jpg", + "4kdNIRV9NiA/29.jpg", + "4kdNIRV9NiA/30.jpg", + "4kdNIRV9NiA/31.jpg", + "4kdNIRV9NiA/32.jpg", + "4kdNIRV9NiA/33.jpg", + "4kdNIRV9NiA/34.jpg", + "4kdNIRV9NiA/35.jpg", + "4kdNIRV9NiA/36.jpg", + "4kdNIRV9NiA/37.jpg", + "4kdNIRV9NiA/38.jpg", + "4kdNIRV9NiA/39.jpg", + "4kdNIRV9NiA/40.jpg", + "4kdNIRV9NiA/41.jpg", + "4kdNIRV9NiA/42.jpg", + "4kdNIRV9NiA/43.jpg", + "4kdNIRV9NiA/44.jpg", + "4kdNIRV9NiA/45.jpg", + "4kdNIRV9NiA/46.jpg", + "4kdNIRV9NiA/47.jpg", + "4kdNIRV9NiA/48.jpg", + "4kdNIRV9NiA/49.jpg", + "4kdNIRV9NiA/50.jpg", + "4kdNIRV9NiA/51.jpg", + "4kdNIRV9NiA/52.jpg", + "4kdNIRV9NiA/53.jpg", + "4kdNIRV9NiA/54.jpg", + "4kdNIRV9NiA/55.jpg", + "4kdNIRV9NiA/56.jpg", + "4kdNIRV9NiA/57.jpg", + "4kdNIRV9NiA/58.jpg", + "4kdNIRV9NiA/59.jpg", + "4kdNIRV9NiA/60.jpg", + "4kdNIRV9NiA/61.jpg", + "4kdNIRV9NiA/62.jpg", + "4kdNIRV9NiA/63.jpg" + ], + "prompt": "Why does the presenter use real in-game examples in their discussion?" + }, + "output": { + "text": "The presenter uses real in-game examples to underscore the inconsistencies and perceived injustices that can arise during football matches." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0009", + "input": { + "video_file_list": [ + "cm7QoXNwiH8/0.jpg", + "cm7QoXNwiH8/1.jpg", + "cm7QoXNwiH8/2.jpg", + "cm7QoXNwiH8/3.jpg", + "cm7QoXNwiH8/4.jpg", + "cm7QoXNwiH8/5.jpg", + "cm7QoXNwiH8/6.jpg", + "cm7QoXNwiH8/7.jpg", + "cm7QoXNwiH8/8.jpg", + "cm7QoXNwiH8/9.jpg", + "cm7QoXNwiH8/10.jpg", + "cm7QoXNwiH8/11.jpg", + "cm7QoXNwiH8/12.jpg", + "cm7QoXNwiH8/13.jpg", + "cm7QoXNwiH8/14.jpg", + "cm7QoXNwiH8/15.jpg", + "cm7QoXNwiH8/16.jpg", + "cm7QoXNwiH8/17.jpg", + "cm7QoXNwiH8/18.jpg", + "cm7QoXNwiH8/19.jpg", + "cm7QoXNwiH8/20.jpg", + "cm7QoXNwiH8/21.jpg", + "cm7QoXNwiH8/22.jpg", + "cm7QoXNwiH8/23.jpg", + "cm7QoXNwiH8/24.jpg", + "cm7QoXNwiH8/25.jpg", + "cm7QoXNwiH8/26.jpg", + "cm7QoXNwiH8/27.jpg", + "cm7QoXNwiH8/28.jpg", + "cm7QoXNwiH8/29.jpg", + "cm7QoXNwiH8/30.jpg", + "cm7QoXNwiH8/31.jpg", + "cm7QoXNwiH8/32.jpg", + "cm7QoXNwiH8/33.jpg", + "cm7QoXNwiH8/34.jpg", + "cm7QoXNwiH8/35.jpg", + "cm7QoXNwiH8/36.jpg", + "cm7QoXNwiH8/37.jpg", + "cm7QoXNwiH8/38.jpg", + "cm7QoXNwiH8/39.jpg", + "cm7QoXNwiH8/40.jpg", + "cm7QoXNwiH8/41.jpg", + "cm7QoXNwiH8/42.jpg", + "cm7QoXNwiH8/43.jpg", + "cm7QoXNwiH8/44.jpg", + "cm7QoXNwiH8/45.jpg", + "cm7QoXNwiH8/46.jpg", + "cm7QoXNwiH8/47.jpg", + "cm7QoXNwiH8/48.jpg", + "cm7QoXNwiH8/49.jpg", + "cm7QoXNwiH8/50.jpg", + "cm7QoXNwiH8/51.jpg", + "cm7QoXNwiH8/52.jpg", + "cm7QoXNwiH8/53.jpg", + "cm7QoXNwiH8/54.jpg", + "cm7QoXNwiH8/55.jpg", + "cm7QoXNwiH8/56.jpg", + "cm7QoXNwiH8/57.jpg", + "cm7QoXNwiH8/58.jpg", + "cm7QoXNwiH8/59.jpg", + "cm7QoXNwiH8/60.jpg", + "cm7QoXNwiH8/61.jpg", + "cm7QoXNwiH8/62.jpg", + "cm7QoXNwiH8/63.jpg" + ], + "prompt": "Can you describe the entire video in detail from start to finish, including all key actions and events?" + }, + "output": { + "text": "The video initiates with a visual display of the Quest Diagnostics scouting report, focusing on the Seattle Sounders FC. Subsequently, two individuals, Nick Firchau, the Director of Digital Media, and Steve Zakuani, a Sounders FC broadcaster, engage in a discussion regarding the upcoming match against the Portland Timbers scheduled for Sunday, August 28, at 2 p.m. PT. The match is set to be broadcasted on ESPN, KIRO Radio 97.3 FM, and El Rey 1360 AM. The discussion underscores the strategic significance of the impending match as a golden opportunity for players to enhance their goal-scoring performance. Notably, attention is drawn to Fanendo Adi of the Portland Timbers, who, in the 82 regular season matches since 2014, has achieved 37 goals and 9 assists. Despite his scoring prowess, Adi only played 18 minutes against Seattle on August 21, a decision attributed to the coach. The video further provides statistical insights, ranking Adi as the sixth-highest scorer in Major League Soccer (MLS) from 2014 to 2016. Notable information includes the top scorers against the Seattle Sounders, with Chris Wondolowski from San Jose leading with 9 goals, followed by Robbie Keane from LA with 7, and Fanendo Adi from Portland with 6. In summary, the video presents a comprehensive scouting report and analysis of the upcoming match between the Seattle Sounders FC and the Portland Timbers, emphasizing key players, their goal-scoring records, and the strategic importance of the match for the players. Statistical comparisons with other top scorers in MLS against the Seattle Sounders further enrich the narrative." + } + }, + { + "id": "vc_closeset_sportsvideoquestionanswering_0148", + "input": { + "video_file_list": [ + "S9qyDvi2SCs/0.jpg", + "S9qyDvi2SCs/1.jpg", + "S9qyDvi2SCs/2.jpg", + "S9qyDvi2SCs/3.jpg", + "S9qyDvi2SCs/4.jpg", + "S9qyDvi2SCs/5.jpg", + "S9qyDvi2SCs/6.jpg", + "S9qyDvi2SCs/7.jpg", + "S9qyDvi2SCs/8.jpg", + "S9qyDvi2SCs/9.jpg", + "S9qyDvi2SCs/10.jpg", + "S9qyDvi2SCs/11.jpg", + "S9qyDvi2SCs/12.jpg", + "S9qyDvi2SCs/13.jpg", + "S9qyDvi2SCs/14.jpg", + "S9qyDvi2SCs/15.jpg", + "S9qyDvi2SCs/16.jpg", + "S9qyDvi2SCs/17.jpg", + "S9qyDvi2SCs/18.jpg", + "S9qyDvi2SCs/19.jpg", + "S9qyDvi2SCs/20.jpg", + "S9qyDvi2SCs/21.jpg", + "S9qyDvi2SCs/22.jpg", + "S9qyDvi2SCs/23.jpg", + "S9qyDvi2SCs/24.jpg", + "S9qyDvi2SCs/25.jpg", + "S9qyDvi2SCs/26.jpg", + "S9qyDvi2SCs/27.jpg", + "S9qyDvi2SCs/28.jpg", + "S9qyDvi2SCs/29.jpg", + "S9qyDvi2SCs/30.jpg", + "S9qyDvi2SCs/31.jpg", + "S9qyDvi2SCs/32.jpg", + "S9qyDvi2SCs/33.jpg", + "S9qyDvi2SCs/34.jpg", + "S9qyDvi2SCs/35.jpg", + "S9qyDvi2SCs/36.jpg", + "S9qyDvi2SCs/37.jpg", + "S9qyDvi2SCs/38.jpg", + "S9qyDvi2SCs/39.jpg", + "S9qyDvi2SCs/40.jpg", + "S9qyDvi2SCs/41.jpg", + "S9qyDvi2SCs/42.jpg", + "S9qyDvi2SCs/43.jpg", + "S9qyDvi2SCs/44.jpg", + "S9qyDvi2SCs/45.jpg", + "S9qyDvi2SCs/46.jpg", + "S9qyDvi2SCs/47.jpg", + "S9qyDvi2SCs/48.jpg", + "S9qyDvi2SCs/49.jpg", + "S9qyDvi2SCs/50.jpg", + "S9qyDvi2SCs/51.jpg", + "S9qyDvi2SCs/52.jpg", + "S9qyDvi2SCs/53.jpg", + "S9qyDvi2SCs/54.jpg", + "S9qyDvi2SCs/55.jpg", + "S9qyDvi2SCs/56.jpg", + "S9qyDvi2SCs/57.jpg", + "S9qyDvi2SCs/58.jpg", + "S9qyDvi2SCs/59.jpg", + "S9qyDvi2SCs/60.jpg", + "S9qyDvi2SCs/61.jpg", + "S9qyDvi2SCs/62.jpg", + "S9qyDvi2SCs/63.jpg" + ], + "prompt": "Can you describe the entire video in detail from the opening to the conclusion, including all the key events and discussions?" + }, + "output": { + "text": "The video opens with a glimpse of Futbalr TV, setting the stage for an intriguing interview with Devon Sandoval, a semifinalist for the prestigious Herman Trophy award. Sandoval, who was drafted 29th overall in the 2013 draft from the University of New Mexico, takes center stage as he discusses the rigorous preparation leading up to an upcoming game. Amidst the backdrop of anticipation and dedication, Sandoval sheds light on the team's relentless efforts in training and preparation. He emphasizes the importance of hard work and commitment in striving for success in the field. Sandoval's narrative provides insight into the rigorous routines and strategies employed by athletes at his level, highlighting the dedication and sacrifice required to excel in competitive soccer. As he shares his perspective, viewers gain a deeper understanding of the mental and physical challenges faced by professional athletes in their pursuit of excellence. The interview offers a glimpse into Sandoval's mindset as he and his teammates gear up for the upcoming game, showcasing their determination to perform at their best. Through his words, Sandoval embodies the spirit of perseverance and resilience that defines elite athletes, inspiring viewers to appreciate the relentless pursuit of greatness in the world of soccer." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/SyntheticSceneFlowEstimate/annotation.json b/Scope-A/S-A-Quick/video/comprehension/SyntheticSceneFlowEstimate/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1c6456996b49f669d75ed41cbc9499725d0a81ec --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/SyntheticSceneFlowEstimate/annotation.json @@ -0,0 +1,128 @@ +{ + "task": "video optical flow, Synthetic Scene Flow Estimate", + "data_source": "FlyingChairs", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "Flow_FlyingChairs_0081", + "input": { + "images": [ + "images/0081/img1.png", + "images/0081/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0090", + "input": { + "images": [ + "images/0090/img1.png", + "images/0090/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0014", + "input": { + "images": [ + "images/0014/img1.png", + "images/0014/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0147", + "input": { + "images": [ + "images/0147/img1.png", + "images/0147/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0087", + "input": { + "images": [ + "images/0087/img1.png", + "images/0087/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0143", + "input": { + "images": [ + "images/0143/img1.png", + "images/0143/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0056", + "input": { + "images": [ + "images/0056/img1.png", + "images/0056/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0137", + "input": { + "images": [ + "images/0137/img1.png", + "images/0137/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0061", + "input": { + "images": [ + "images/0061/img1.png", + "images/0061/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + }, + { + "id": "Flow_FlyingChairs_0120", + "input": { + "images": [ + "images/0120/img1.png", + "images/0120/img2.png" + ], + "prompt": "Please estimate the optical flow based on the given images." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/TVShowRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/TVShowRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e9242c539135701ba33e8abe73260a3faace2361 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/TVShowRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "TVShowRecognition", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_tvshowrecognition_0029", + "input": { + "video_file_list": [ + "G267g0DpCVg/0.jpg", + "G267g0DpCVg/1.jpg", + "G267g0DpCVg/2.jpg", + "G267g0DpCVg/3.jpg", + "G267g0DpCVg/4.jpg", + "G267g0DpCVg/5.jpg", + "G267g0DpCVg/6.jpg", + "G267g0DpCVg/7.jpg", + "G267g0DpCVg/8.jpg", + "G267g0DpCVg/9.jpg", + "G267g0DpCVg/10.jpg", + "G267g0DpCVg/11.jpg", + "G267g0DpCVg/12.jpg", + "G267g0DpCVg/13.jpg", + "G267g0DpCVg/14.jpg", + "G267g0DpCVg/15.jpg", + "G267g0DpCVg/16.jpg", + "G267g0DpCVg/17.jpg", + "G267g0DpCVg/18.jpg", + "G267g0DpCVg/19.jpg", + "G267g0DpCVg/20.jpg", + "G267g0DpCVg/21.jpg", + "G267g0DpCVg/22.jpg", + "G267g0DpCVg/23.jpg", + "G267g0DpCVg/24.jpg", + "G267g0DpCVg/25.jpg", + "G267g0DpCVg/26.jpg", + "G267g0DpCVg/27.jpg", + "G267g0DpCVg/28.jpg", + "G267g0DpCVg/29.jpg", + "G267g0DpCVg/30.jpg", + "G267g0DpCVg/31.jpg", + "G267g0DpCVg/32.jpg", + "G267g0DpCVg/33.jpg", + "G267g0DpCVg/34.jpg", + "G267g0DpCVg/35.jpg", + "G267g0DpCVg/36.jpg", + "G267g0DpCVg/37.jpg", + "G267g0DpCVg/38.jpg", + "G267g0DpCVg/39.jpg", + "G267g0DpCVg/40.jpg", + "G267g0DpCVg/41.jpg", + "G267g0DpCVg/42.jpg", + "G267g0DpCVg/43.jpg", + "G267g0DpCVg/44.jpg", + "G267g0DpCVg/45.jpg", + "G267g0DpCVg/46.jpg", + "G267g0DpCVg/47.jpg", + "G267g0DpCVg/48.jpg", + "G267g0DpCVg/49.jpg", + "G267g0DpCVg/50.jpg", + "G267g0DpCVg/51.jpg", + "G267g0DpCVg/52.jpg", + "G267g0DpCVg/53.jpg", + "G267g0DpCVg/54.jpg", + "G267g0DpCVg/55.jpg", + "G267g0DpCVg/56.jpg", + "G267g0DpCVg/57.jpg", + "G267g0DpCVg/58.jpg", + "G267g0DpCVg/59.jpg", + "G267g0DpCVg/60.jpg", + "G267g0DpCVg/61.jpg", + "G267g0DpCVg/62.jpg", + "G267g0DpCVg/63.jpg" + ], + "prompt": "Which item does the man throw into the trash at the beginning of the video?\nA. A fork.\nB. A pair of chopsticks.\nC. A box of noodles.\nD. A spoon." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0046", + "input": { + "video_file_list": [ + "2Qno7H4BwAU/0.jpg", + "2Qno7H4BwAU/1.jpg", + "2Qno7H4BwAU/2.jpg", + "2Qno7H4BwAU/3.jpg", + "2Qno7H4BwAU/4.jpg", + "2Qno7H4BwAU/5.jpg", + "2Qno7H4BwAU/6.jpg", + "2Qno7H4BwAU/7.jpg", + "2Qno7H4BwAU/8.jpg", + "2Qno7H4BwAU/9.jpg", + "2Qno7H4BwAU/10.jpg", + "2Qno7H4BwAU/11.jpg", + "2Qno7H4BwAU/12.jpg", + "2Qno7H4BwAU/13.jpg", + "2Qno7H4BwAU/14.jpg", + "2Qno7H4BwAU/15.jpg", + "2Qno7H4BwAU/16.jpg", + "2Qno7H4BwAU/17.jpg", + "2Qno7H4BwAU/18.jpg", + "2Qno7H4BwAU/19.jpg", + "2Qno7H4BwAU/20.jpg", + "2Qno7H4BwAU/21.jpg", + "2Qno7H4BwAU/22.jpg", + "2Qno7H4BwAU/23.jpg", + "2Qno7H4BwAU/24.jpg", + "2Qno7H4BwAU/25.jpg", + "2Qno7H4BwAU/26.jpg", + "2Qno7H4BwAU/27.jpg", + "2Qno7H4BwAU/28.jpg", + "2Qno7H4BwAU/29.jpg", + "2Qno7H4BwAU/30.jpg", + "2Qno7H4BwAU/31.jpg", + "2Qno7H4BwAU/32.jpg", + "2Qno7H4BwAU/33.jpg", + "2Qno7H4BwAU/34.jpg", + "2Qno7H4BwAU/35.jpg", + "2Qno7H4BwAU/36.jpg", + "2Qno7H4BwAU/37.jpg", + "2Qno7H4BwAU/38.jpg", + "2Qno7H4BwAU/39.jpg", + "2Qno7H4BwAU/40.jpg", + "2Qno7H4BwAU/41.jpg", + "2Qno7H4BwAU/42.jpg", + "2Qno7H4BwAU/43.jpg", + "2Qno7H4BwAU/44.jpg", + "2Qno7H4BwAU/45.jpg", + "2Qno7H4BwAU/46.jpg", + "2Qno7H4BwAU/47.jpg", + "2Qno7H4BwAU/48.jpg", + "2Qno7H4BwAU/49.jpg", + "2Qno7H4BwAU/50.jpg", + "2Qno7H4BwAU/51.jpg", + "2Qno7H4BwAU/52.jpg", + "2Qno7H4BwAU/53.jpg", + "2Qno7H4BwAU/54.jpg", + "2Qno7H4BwAU/55.jpg", + "2Qno7H4BwAU/56.jpg", + "2Qno7H4BwAU/57.jpg", + "2Qno7H4BwAU/58.jpg", + "2Qno7H4BwAU/59.jpg", + "2Qno7H4BwAU/60.jpg", + "2Qno7H4BwAU/61.jpg", + "2Qno7H4BwAU/62.jpg", + "2Qno7H4BwAU/63.jpg" + ], + "prompt": "Whar color is the helicopter in the video?\nA. Orange.\nB. Pink.\nC. Blue.\nD. Black." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0022", + "input": { + "video_file_list": [ + "G267g0DpCVg/0.jpg", + "G267g0DpCVg/1.jpg", + "G267g0DpCVg/2.jpg", + "G267g0DpCVg/3.jpg", + "G267g0DpCVg/4.jpg", + "G267g0DpCVg/5.jpg", + "G267g0DpCVg/6.jpg", + "G267g0DpCVg/7.jpg", + "G267g0DpCVg/8.jpg", + "G267g0DpCVg/9.jpg", + "G267g0DpCVg/10.jpg", + "G267g0DpCVg/11.jpg", + "G267g0DpCVg/12.jpg", + "G267g0DpCVg/13.jpg", + "G267g0DpCVg/14.jpg", + "G267g0DpCVg/15.jpg", + "G267g0DpCVg/16.jpg", + "G267g0DpCVg/17.jpg", + "G267g0DpCVg/18.jpg", + "G267g0DpCVg/19.jpg", + "G267g0DpCVg/20.jpg", + "G267g0DpCVg/21.jpg", + "G267g0DpCVg/22.jpg", + "G267g0DpCVg/23.jpg", + "G267g0DpCVg/24.jpg", + "G267g0DpCVg/25.jpg", + "G267g0DpCVg/26.jpg", + "G267g0DpCVg/27.jpg", + "G267g0DpCVg/28.jpg", + "G267g0DpCVg/29.jpg", + "G267g0DpCVg/30.jpg", + "G267g0DpCVg/31.jpg", + "G267g0DpCVg/32.jpg", + "G267g0DpCVg/33.jpg", + "G267g0DpCVg/34.jpg", + "G267g0DpCVg/35.jpg", + "G267g0DpCVg/36.jpg", + "G267g0DpCVg/37.jpg", + "G267g0DpCVg/38.jpg", + "G267g0DpCVg/39.jpg", + "G267g0DpCVg/40.jpg", + "G267g0DpCVg/41.jpg", + "G267g0DpCVg/42.jpg", + "G267g0DpCVg/43.jpg", + "G267g0DpCVg/44.jpg", + "G267g0DpCVg/45.jpg", + "G267g0DpCVg/46.jpg", + "G267g0DpCVg/47.jpg", + "G267g0DpCVg/48.jpg", + "G267g0DpCVg/49.jpg", + "G267g0DpCVg/50.jpg", + "G267g0DpCVg/51.jpg", + "G267g0DpCVg/52.jpg", + "G267g0DpCVg/53.jpg", + "G267g0DpCVg/54.jpg", + "G267g0DpCVg/55.jpg", + "G267g0DpCVg/56.jpg", + "G267g0DpCVg/57.jpg", + "G267g0DpCVg/58.jpg", + "G267g0DpCVg/59.jpg", + "G267g0DpCVg/60.jpg", + "G267g0DpCVg/61.jpg", + "G267g0DpCVg/62.jpg", + "G267g0DpCVg/63.jpg" + ], + "prompt": "Why did the man in the video laugh at the end?\nA. Because he learned an alternative use for chopsticks.\nB. Because the food was delicious.\nC. Because he really likes using chopsticks.\nD. It is impossible to determine why the man laughed based on the information provided." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0003", + "input": { + "video_file_list": [ + "-dfvdKf-KR0/0.jpg", + "-dfvdKf-KR0/1.jpg", + "-dfvdKf-KR0/2.jpg", + "-dfvdKf-KR0/3.jpg", + "-dfvdKf-KR0/4.jpg", + "-dfvdKf-KR0/5.jpg", + "-dfvdKf-KR0/6.jpg", + "-dfvdKf-KR0/7.jpg", + "-dfvdKf-KR0/8.jpg", + "-dfvdKf-KR0/9.jpg", + "-dfvdKf-KR0/10.jpg", + "-dfvdKf-KR0/11.jpg", + "-dfvdKf-KR0/12.jpg", + "-dfvdKf-KR0/13.jpg", + "-dfvdKf-KR0/14.jpg", + "-dfvdKf-KR0/15.jpg", + "-dfvdKf-KR0/16.jpg", + "-dfvdKf-KR0/17.jpg", + "-dfvdKf-KR0/18.jpg", + "-dfvdKf-KR0/19.jpg", + "-dfvdKf-KR0/20.jpg", + "-dfvdKf-KR0/21.jpg", + "-dfvdKf-KR0/22.jpg", + "-dfvdKf-KR0/23.jpg", + "-dfvdKf-KR0/24.jpg", + "-dfvdKf-KR0/25.jpg", + "-dfvdKf-KR0/26.jpg", + "-dfvdKf-KR0/27.jpg", + "-dfvdKf-KR0/28.jpg", + "-dfvdKf-KR0/29.jpg", + "-dfvdKf-KR0/30.jpg", + "-dfvdKf-KR0/31.jpg", + "-dfvdKf-KR0/32.jpg", + "-dfvdKf-KR0/33.jpg", + "-dfvdKf-KR0/34.jpg", + "-dfvdKf-KR0/35.jpg", + "-dfvdKf-KR0/36.jpg", + "-dfvdKf-KR0/37.jpg", + "-dfvdKf-KR0/38.jpg", + "-dfvdKf-KR0/39.jpg", + "-dfvdKf-KR0/40.jpg", + "-dfvdKf-KR0/41.jpg", + "-dfvdKf-KR0/42.jpg", + "-dfvdKf-KR0/43.jpg", + "-dfvdKf-KR0/44.jpg", + "-dfvdKf-KR0/45.jpg", + "-dfvdKf-KR0/46.jpg", + "-dfvdKf-KR0/47.jpg", + "-dfvdKf-KR0/48.jpg", + "-dfvdKf-KR0/49.jpg", + "-dfvdKf-KR0/50.jpg", + "-dfvdKf-KR0/51.jpg", + "-dfvdKf-KR0/52.jpg", + "-dfvdKf-KR0/53.jpg", + "-dfvdKf-KR0/54.jpg", + "-dfvdKf-KR0/55.jpg", + "-dfvdKf-KR0/56.jpg", + "-dfvdKf-KR0/57.jpg", + "-dfvdKf-KR0/58.jpg", + "-dfvdKf-KR0/59.jpg", + "-dfvdKf-KR0/60.jpg", + "-dfvdKf-KR0/61.jpg", + "-dfvdKf-KR0/62.jpg", + "-dfvdKf-KR0/63.jpg" + ], + "prompt": "Between the 6th and 13th minutes of the video, why does Jessica Pearson specifically invite Mike Ross to have dinner together?\nA. Because Jessica Pearson wants to know what makes Mike Ross special.\nB. Because Mike Ross has never attended Harvard or any other law school.\nC. Because Jessica Pearson wants to understand Harvey through Mike Ross.\nD. Because Jessica Pearson wants to fire Mike Ross." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0041", + "input": { + "video_file_list": [ + "weOrNMHcDTI/0.jpg", + "weOrNMHcDTI/1.jpg", + "weOrNMHcDTI/2.jpg", + "weOrNMHcDTI/3.jpg", + "weOrNMHcDTI/4.jpg", + "weOrNMHcDTI/5.jpg", + "weOrNMHcDTI/6.jpg", + "weOrNMHcDTI/7.jpg", + "weOrNMHcDTI/8.jpg", + "weOrNMHcDTI/9.jpg", + "weOrNMHcDTI/10.jpg", + "weOrNMHcDTI/11.jpg", + "weOrNMHcDTI/12.jpg", + "weOrNMHcDTI/13.jpg", + "weOrNMHcDTI/14.jpg", + "weOrNMHcDTI/15.jpg", + "weOrNMHcDTI/16.jpg", + "weOrNMHcDTI/17.jpg", + "weOrNMHcDTI/18.jpg", + "weOrNMHcDTI/19.jpg", + "weOrNMHcDTI/20.jpg", + "weOrNMHcDTI/21.jpg", + "weOrNMHcDTI/22.jpg", + "weOrNMHcDTI/23.jpg", + "weOrNMHcDTI/24.jpg", + "weOrNMHcDTI/25.jpg", + "weOrNMHcDTI/26.jpg", + "weOrNMHcDTI/27.jpg", + "weOrNMHcDTI/28.jpg", + "weOrNMHcDTI/29.jpg", + "weOrNMHcDTI/30.jpg", + "weOrNMHcDTI/31.jpg", + "weOrNMHcDTI/32.jpg", + "weOrNMHcDTI/33.jpg", + "weOrNMHcDTI/34.jpg", + "weOrNMHcDTI/35.jpg", + "weOrNMHcDTI/36.jpg", + "weOrNMHcDTI/37.jpg", + "weOrNMHcDTI/38.jpg", + "weOrNMHcDTI/39.jpg", + "weOrNMHcDTI/40.jpg", + "weOrNMHcDTI/41.jpg", + "weOrNMHcDTI/42.jpg", + "weOrNMHcDTI/43.jpg", + "weOrNMHcDTI/44.jpg", + "weOrNMHcDTI/45.jpg", + "weOrNMHcDTI/46.jpg", + "weOrNMHcDTI/47.jpg", + "weOrNMHcDTI/48.jpg", + "weOrNMHcDTI/49.jpg", + "weOrNMHcDTI/50.jpg", + "weOrNMHcDTI/51.jpg", + "weOrNMHcDTI/52.jpg", + "weOrNMHcDTI/53.jpg", + "weOrNMHcDTI/54.jpg", + "weOrNMHcDTI/55.jpg", + "weOrNMHcDTI/56.jpg", + "weOrNMHcDTI/57.jpg", + "weOrNMHcDTI/58.jpg", + "weOrNMHcDTI/59.jpg", + "weOrNMHcDTI/60.jpg", + "weOrNMHcDTI/61.jpg", + "weOrNMHcDTI/62.jpg", + "weOrNMHcDTI/63.jpg" + ], + "prompt": "Who is the opponent of Rango in the second matchup in the video?\nA. Snake.\nB. Tiger.\nC. Hawk.\nD. Mouse." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0050", + "input": { + "video_file_list": [ + "_cZXyj6rYVg/0.jpg", + "_cZXyj6rYVg/1.jpg", + "_cZXyj6rYVg/2.jpg", + "_cZXyj6rYVg/3.jpg", + "_cZXyj6rYVg/4.jpg", + "_cZXyj6rYVg/5.jpg", + "_cZXyj6rYVg/6.jpg", + "_cZXyj6rYVg/7.jpg", + "_cZXyj6rYVg/8.jpg", + "_cZXyj6rYVg/9.jpg", + "_cZXyj6rYVg/10.jpg", + "_cZXyj6rYVg/11.jpg", + "_cZXyj6rYVg/12.jpg", + "_cZXyj6rYVg/13.jpg", + "_cZXyj6rYVg/14.jpg", + "_cZXyj6rYVg/15.jpg", + "_cZXyj6rYVg/16.jpg", + "_cZXyj6rYVg/17.jpg", + "_cZXyj6rYVg/18.jpg", + "_cZXyj6rYVg/19.jpg", + "_cZXyj6rYVg/20.jpg", + "_cZXyj6rYVg/21.jpg", + "_cZXyj6rYVg/22.jpg", + "_cZXyj6rYVg/23.jpg", + "_cZXyj6rYVg/24.jpg", + "_cZXyj6rYVg/25.jpg", + "_cZXyj6rYVg/26.jpg", + "_cZXyj6rYVg/27.jpg", + "_cZXyj6rYVg/28.jpg", + "_cZXyj6rYVg/29.jpg", + "_cZXyj6rYVg/30.jpg", + "_cZXyj6rYVg/31.jpg", + "_cZXyj6rYVg/32.jpg", + "_cZXyj6rYVg/33.jpg", + "_cZXyj6rYVg/34.jpg", + "_cZXyj6rYVg/35.jpg", + "_cZXyj6rYVg/36.jpg", + "_cZXyj6rYVg/37.jpg", + "_cZXyj6rYVg/38.jpg", + "_cZXyj6rYVg/39.jpg", + "_cZXyj6rYVg/40.jpg", + "_cZXyj6rYVg/41.jpg", + "_cZXyj6rYVg/42.jpg", + "_cZXyj6rYVg/43.jpg", + "_cZXyj6rYVg/44.jpg", + "_cZXyj6rYVg/45.jpg", + "_cZXyj6rYVg/46.jpg", + "_cZXyj6rYVg/47.jpg", + "_cZXyj6rYVg/48.jpg", + "_cZXyj6rYVg/49.jpg", + "_cZXyj6rYVg/50.jpg", + "_cZXyj6rYVg/51.jpg", + "_cZXyj6rYVg/52.jpg", + "_cZXyj6rYVg/53.jpg", + "_cZXyj6rYVg/54.jpg", + "_cZXyj6rYVg/55.jpg", + "_cZXyj6rYVg/56.jpg", + "_cZXyj6rYVg/57.jpg", + "_cZXyj6rYVg/58.jpg", + "_cZXyj6rYVg/59.jpg", + "_cZXyj6rYVg/60.jpg", + "_cZXyj6rYVg/61.jpg", + "_cZXyj6rYVg/62.jpg", + "_cZXyj6rYVg/63.jpg" + ], + "prompt": "What are the two people in the video doing?\nA. The man is trying to teach the woman knowledge.\nB. The man is singing with the woman.\nC. They are drawing pictures.\nD. They are cooking." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0034", + "input": { + "video_file_list": [ + "iC54QQSe4_I/0.jpg", + "iC54QQSe4_I/1.jpg", + "iC54QQSe4_I/2.jpg", + "iC54QQSe4_I/3.jpg", + "iC54QQSe4_I/4.jpg", + "iC54QQSe4_I/5.jpg", + "iC54QQSe4_I/6.jpg", + "iC54QQSe4_I/7.jpg", + "iC54QQSe4_I/8.jpg", + "iC54QQSe4_I/9.jpg", + "iC54QQSe4_I/10.jpg", + "iC54QQSe4_I/11.jpg", + "iC54QQSe4_I/12.jpg", + "iC54QQSe4_I/13.jpg", + "iC54QQSe4_I/14.jpg", + "iC54QQSe4_I/15.jpg", + "iC54QQSe4_I/16.jpg", + "iC54QQSe4_I/17.jpg", + "iC54QQSe4_I/18.jpg", + "iC54QQSe4_I/19.jpg", + "iC54QQSe4_I/20.jpg", + "iC54QQSe4_I/21.jpg", + "iC54QQSe4_I/22.jpg", + "iC54QQSe4_I/23.jpg", + "iC54QQSe4_I/24.jpg", + "iC54QQSe4_I/25.jpg", + "iC54QQSe4_I/26.jpg", + "iC54QQSe4_I/27.jpg", + "iC54QQSe4_I/28.jpg", + "iC54QQSe4_I/29.jpg", + "iC54QQSe4_I/30.jpg", + "iC54QQSe4_I/31.jpg", + "iC54QQSe4_I/32.jpg", + "iC54QQSe4_I/33.jpg", + "iC54QQSe4_I/34.jpg", + "iC54QQSe4_I/35.jpg", + "iC54QQSe4_I/36.jpg", + "iC54QQSe4_I/37.jpg", + "iC54QQSe4_I/38.jpg", + "iC54QQSe4_I/39.jpg", + "iC54QQSe4_I/40.jpg", + "iC54QQSe4_I/41.jpg", + "iC54QQSe4_I/42.jpg", + "iC54QQSe4_I/43.jpg", + "iC54QQSe4_I/44.jpg", + "iC54QQSe4_I/45.jpg", + "iC54QQSe4_I/46.jpg", + "iC54QQSe4_I/47.jpg", + "iC54QQSe4_I/48.jpg", + "iC54QQSe4_I/49.jpg", + "iC54QQSe4_I/50.jpg", + "iC54QQSe4_I/51.jpg", + "iC54QQSe4_I/52.jpg", + "iC54QQSe4_I/53.jpg", + "iC54QQSe4_I/54.jpg", + "iC54QQSe4_I/55.jpg", + "iC54QQSe4_I/56.jpg", + "iC54QQSe4_I/57.jpg", + "iC54QQSe4_I/58.jpg", + "iC54QQSe4_I/59.jpg", + "iC54QQSe4_I/60.jpg", + "iC54QQSe4_I/61.jpg", + "iC54QQSe4_I/62.jpg", + "iC54QQSe4_I/63.jpg" + ], + "prompt": "Based on the video, what might the content of the letter be?\nA. You're pretty cranky for a princess rodeo clown.\nB. The California Institute of Technology wants young Sheldon to teach there.\nC. The California Institute of Technology wants young Sheldon to attend school there.\nD. The California Institute of Technology wants young Sheldon to drop out." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0007", + "input": { + "video_file_list": [ + "TIK01MpwWGg/0.jpg", + "TIK01MpwWGg/1.jpg", + "TIK01MpwWGg/2.jpg", + "TIK01MpwWGg/3.jpg", + "TIK01MpwWGg/4.jpg", + "TIK01MpwWGg/5.jpg", + "TIK01MpwWGg/6.jpg", + "TIK01MpwWGg/7.jpg", + "TIK01MpwWGg/8.jpg", + "TIK01MpwWGg/9.jpg", + "TIK01MpwWGg/10.jpg", + "TIK01MpwWGg/11.jpg", + "TIK01MpwWGg/12.jpg", + "TIK01MpwWGg/13.jpg", + "TIK01MpwWGg/14.jpg", + "TIK01MpwWGg/15.jpg", + "TIK01MpwWGg/16.jpg", + "TIK01MpwWGg/17.jpg", + "TIK01MpwWGg/18.jpg", + "TIK01MpwWGg/19.jpg", + "TIK01MpwWGg/20.jpg", + "TIK01MpwWGg/21.jpg", + "TIK01MpwWGg/22.jpg", + "TIK01MpwWGg/23.jpg", + "TIK01MpwWGg/24.jpg", + "TIK01MpwWGg/25.jpg", + "TIK01MpwWGg/26.jpg", + "TIK01MpwWGg/27.jpg", + "TIK01MpwWGg/28.jpg", + "TIK01MpwWGg/29.jpg", + "TIK01MpwWGg/30.jpg", + "TIK01MpwWGg/31.jpg", + "TIK01MpwWGg/32.jpg", + "TIK01MpwWGg/33.jpg", + "TIK01MpwWGg/34.jpg", + "TIK01MpwWGg/35.jpg", + "TIK01MpwWGg/36.jpg", + "TIK01MpwWGg/37.jpg", + "TIK01MpwWGg/38.jpg", + "TIK01MpwWGg/39.jpg", + "TIK01MpwWGg/40.jpg", + "TIK01MpwWGg/41.jpg", + "TIK01MpwWGg/42.jpg", + "TIK01MpwWGg/43.jpg", + "TIK01MpwWGg/44.jpg", + "TIK01MpwWGg/45.jpg", + "TIK01MpwWGg/46.jpg", + "TIK01MpwWGg/47.jpg", + "TIK01MpwWGg/48.jpg", + "TIK01MpwWGg/49.jpg", + "TIK01MpwWGg/50.jpg", + "TIK01MpwWGg/51.jpg", + "TIK01MpwWGg/52.jpg", + "TIK01MpwWGg/53.jpg", + "TIK01MpwWGg/54.jpg", + "TIK01MpwWGg/55.jpg", + "TIK01MpwWGg/56.jpg", + "TIK01MpwWGg/57.jpg", + "TIK01MpwWGg/58.jpg", + "TIK01MpwWGg/59.jpg", + "TIK01MpwWGg/60.jpg", + "TIK01MpwWGg/61.jpg", + "TIK01MpwWGg/62.jpg", + "TIK01MpwWGg/63.jpg" + ], + "prompt": "Why does the woman in the blue and black shirt want to do makeup for the man in the yellow shirt in the video?\nA. Because the man likes wearing makeup.\nB. Because the woman thinks that a whiter complexion from makeup will make the man's teeth look not so white.\nC. Because they are both only 13 years old.\nD. Because the man is a celebrity." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0025", + "input": { + "video_file_list": [ + "X6UqTmRAApw/0.jpg", + "X6UqTmRAApw/1.jpg", + "X6UqTmRAApw/2.jpg", + "X6UqTmRAApw/3.jpg", + "X6UqTmRAApw/4.jpg", + "X6UqTmRAApw/5.jpg", + "X6UqTmRAApw/6.jpg", + "X6UqTmRAApw/7.jpg", + "X6UqTmRAApw/8.jpg", + "X6UqTmRAApw/9.jpg", + "X6UqTmRAApw/10.jpg", + "X6UqTmRAApw/11.jpg", + "X6UqTmRAApw/12.jpg", + "X6UqTmRAApw/13.jpg", + "X6UqTmRAApw/14.jpg", + "X6UqTmRAApw/15.jpg", + "X6UqTmRAApw/16.jpg", + "X6UqTmRAApw/17.jpg", + "X6UqTmRAApw/18.jpg", + "X6UqTmRAApw/19.jpg", + "X6UqTmRAApw/20.jpg", + "X6UqTmRAApw/21.jpg", + "X6UqTmRAApw/22.jpg", + "X6UqTmRAApw/23.jpg", + "X6UqTmRAApw/24.jpg", + "X6UqTmRAApw/25.jpg", + "X6UqTmRAApw/26.jpg", + "X6UqTmRAApw/27.jpg", + "X6UqTmRAApw/28.jpg", + "X6UqTmRAApw/29.jpg", + "X6UqTmRAApw/30.jpg", + "X6UqTmRAApw/31.jpg", + "X6UqTmRAApw/32.jpg", + "X6UqTmRAApw/33.jpg", + "X6UqTmRAApw/34.jpg", + "X6UqTmRAApw/35.jpg", + "X6UqTmRAApw/36.jpg", + "X6UqTmRAApw/37.jpg", + "X6UqTmRAApw/38.jpg", + "X6UqTmRAApw/39.jpg", + "X6UqTmRAApw/40.jpg", + "X6UqTmRAApw/41.jpg", + "X6UqTmRAApw/42.jpg", + "X6UqTmRAApw/43.jpg", + "X6UqTmRAApw/44.jpg", + "X6UqTmRAApw/45.jpg", + "X6UqTmRAApw/46.jpg", + "X6UqTmRAApw/47.jpg", + "X6UqTmRAApw/48.jpg", + "X6UqTmRAApw/49.jpg", + "X6UqTmRAApw/50.jpg", + "X6UqTmRAApw/51.jpg", + "X6UqTmRAApw/52.jpg", + "X6UqTmRAApw/53.jpg", + "X6UqTmRAApw/54.jpg", + "X6UqTmRAApw/55.jpg", + "X6UqTmRAApw/56.jpg", + "X6UqTmRAApw/57.jpg", + "X6UqTmRAApw/58.jpg", + "X6UqTmRAApw/59.jpg", + "X6UqTmRAApw/60.jpg", + "X6UqTmRAApw/61.jpg", + "X6UqTmRAApw/62.jpg", + "X6UqTmRAApw/63.jpg" + ], + "prompt": "In the video, when Claire says \"This means\" to Luke, the man in a suit, what does this statement imply?\nA. It implies Claire has decided to start a romantic relationship with Luke.\nB. It implies Claire has decided to move in with Luke.\nC. It implies Claire has decided to have a beer with Luke.\nD. It implies Claire has decided to celebrate the completion of a work project." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_tvshowrecognition_0015", + "input": { + "video_file_list": [ + "2Qno7H4BwAU/0.jpg", + "2Qno7H4BwAU/1.jpg", + "2Qno7H4BwAU/2.jpg", + "2Qno7H4BwAU/3.jpg", + "2Qno7H4BwAU/4.jpg", + "2Qno7H4BwAU/5.jpg", + "2Qno7H4BwAU/6.jpg", + "2Qno7H4BwAU/7.jpg", + "2Qno7H4BwAU/8.jpg", + "2Qno7H4BwAU/9.jpg", + "2Qno7H4BwAU/10.jpg", + "2Qno7H4BwAU/11.jpg", + "2Qno7H4BwAU/12.jpg", + "2Qno7H4BwAU/13.jpg", + "2Qno7H4BwAU/14.jpg", + "2Qno7H4BwAU/15.jpg", + "2Qno7H4BwAU/16.jpg", + "2Qno7H4BwAU/17.jpg", + "2Qno7H4BwAU/18.jpg", + "2Qno7H4BwAU/19.jpg", + "2Qno7H4BwAU/20.jpg", + "2Qno7H4BwAU/21.jpg", + "2Qno7H4BwAU/22.jpg", + "2Qno7H4BwAU/23.jpg", + "2Qno7H4BwAU/24.jpg", + "2Qno7H4BwAU/25.jpg", + "2Qno7H4BwAU/26.jpg", + "2Qno7H4BwAU/27.jpg", + "2Qno7H4BwAU/28.jpg", + "2Qno7H4BwAU/29.jpg", + "2Qno7H4BwAU/30.jpg", + "2Qno7H4BwAU/31.jpg", + "2Qno7H4BwAU/32.jpg", + "2Qno7H4BwAU/33.jpg", + "2Qno7H4BwAU/34.jpg", + "2Qno7H4BwAU/35.jpg", + "2Qno7H4BwAU/36.jpg", + "2Qno7H4BwAU/37.jpg", + "2Qno7H4BwAU/38.jpg", + "2Qno7H4BwAU/39.jpg", + "2Qno7H4BwAU/40.jpg", + "2Qno7H4BwAU/41.jpg", + "2Qno7H4BwAU/42.jpg", + "2Qno7H4BwAU/43.jpg", + "2Qno7H4BwAU/44.jpg", + "2Qno7H4BwAU/45.jpg", + "2Qno7H4BwAU/46.jpg", + "2Qno7H4BwAU/47.jpg", + "2Qno7H4BwAU/48.jpg", + "2Qno7H4BwAU/49.jpg", + "2Qno7H4BwAU/50.jpg", + "2Qno7H4BwAU/51.jpg", + "2Qno7H4BwAU/52.jpg", + "2Qno7H4BwAU/53.jpg", + "2Qno7H4BwAU/54.jpg", + "2Qno7H4BwAU/55.jpg", + "2Qno7H4BwAU/56.jpg", + "2Qno7H4BwAU/57.jpg", + "2Qno7H4BwAU/58.jpg", + "2Qno7H4BwAU/59.jpg", + "2Qno7H4BwAU/60.jpg", + "2Qno7H4BwAU/61.jpg", + "2Qno7H4BwAU/62.jpg", + "2Qno7H4BwAU/63.jpg" + ], + "prompt": "What object is the man in the gray T-shirt pulling?\nA. A kite.\nB. A balloon.\nC. A ladder.\nD. A helicopter." + }, + "output": { + "text": "D" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/TerrestrialVideoCamouflagedObjectDetection/annotation.json b/Scope-A/S-A-Quick/video/comprehension/TerrestrialVideoCamouflagedObjectDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..65ac148a62a685e8981dab9feb227e6e1e6ca3ad --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/TerrestrialVideoCamouflagedObjectDetection/annotation.json @@ -0,0 +1,734 @@ +{ + "task": "FoodVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_foodvideocaptioning_0012", + "input": { + "video_file_list": [ + "wiOxt4J5zaM/frame_001.jpg", + "wiOxt4J5zaM/frame_002.jpg", + "wiOxt4J5zaM/frame_003.jpg", + "wiOxt4J5zaM/frame_004.jpg", + "wiOxt4J5zaM/frame_005.jpg", + "wiOxt4J5zaM/frame_006.jpg", + "wiOxt4J5zaM/frame_007.jpg", + "wiOxt4J5zaM/frame_008.jpg", + "wiOxt4J5zaM/frame_009.jpg", + "wiOxt4J5zaM/frame_010.jpg", + "wiOxt4J5zaM/frame_011.jpg", + "wiOxt4J5zaM/frame_012.jpg", + "wiOxt4J5zaM/frame_013.jpg", + "wiOxt4J5zaM/frame_014.jpg", + "wiOxt4J5zaM/frame_015.jpg", + "wiOxt4J5zaM/frame_016.jpg", + "wiOxt4J5zaM/frame_017.jpg", + "wiOxt4J5zaM/frame_018.jpg", + "wiOxt4J5zaM/frame_019.jpg", + "wiOxt4J5zaM/frame_020.jpg", + "wiOxt4J5zaM/frame_021.jpg", + "wiOxt4J5zaM/frame_022.jpg", + "wiOxt4J5zaM/frame_023.jpg", + "wiOxt4J5zaM/frame_024.jpg", + "wiOxt4J5zaM/frame_025.jpg", + "wiOxt4J5zaM/frame_026.jpg", + "wiOxt4J5zaM/frame_027.jpg", + "wiOxt4J5zaM/frame_028.jpg", + "wiOxt4J5zaM/frame_029.jpg", + "wiOxt4J5zaM/frame_030.jpg", + "wiOxt4J5zaM/frame_031.jpg", + "wiOxt4J5zaM/frame_032.jpg", + "wiOxt4J5zaM/frame_033.jpg", + "wiOxt4J5zaM/frame_034.jpg", + "wiOxt4J5zaM/frame_035.jpg", + "wiOxt4J5zaM/frame_036.jpg", + "wiOxt4J5zaM/frame_037.jpg", + "wiOxt4J5zaM/frame_038.jpg", + "wiOxt4J5zaM/frame_039.jpg", + "wiOxt4J5zaM/frame_040.jpg", + "wiOxt4J5zaM/frame_041.jpg", + "wiOxt4J5zaM/frame_042.jpg", + "wiOxt4J5zaM/frame_043.jpg", + "wiOxt4J5zaM/frame_044.jpg", + "wiOxt4J5zaM/frame_045.jpg", + "wiOxt4J5zaM/frame_046.jpg", + "wiOxt4J5zaM/frame_047.jpg", + "wiOxt4J5zaM/frame_048.jpg", + "wiOxt4J5zaM/frame_049.jpg", + "wiOxt4J5zaM/frame_050.jpg", + "wiOxt4J5zaM/frame_051.jpg", + "wiOxt4J5zaM/frame_052.jpg", + "wiOxt4J5zaM/frame_053.jpg", + "wiOxt4J5zaM/frame_054.jpg", + "wiOxt4J5zaM/frame_055.jpg", + "wiOxt4J5zaM/frame_056.jpg", + "wiOxt4J5zaM/frame_057.jpg", + "wiOxt4J5zaM/frame_058.jpg", + "wiOxt4J5zaM/frame_059.jpg", + "wiOxt4J5zaM/frame_060.jpg", + "wiOxt4J5zaM/frame_061.jpg", + "wiOxt4J5zaM/frame_062.jpg", + "wiOxt4J5zaM/frame_063.jpg", + "wiOxt4J5zaM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man preparing a cocktail by adding ice and pouring several liquids into a glass. He stirs the mixture before transferring it to another glass. The video concludes with a close-up of the final drink." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0007", + "input": { + "video_file_list": [ + "DmUgQzu3Z4U/frame_001.jpg", + "DmUgQzu3Z4U/frame_002.jpg", + "DmUgQzu3Z4U/frame_003.jpg", + "DmUgQzu3Z4U/frame_004.jpg", + "DmUgQzu3Z4U/frame_005.jpg", + "DmUgQzu3Z4U/frame_006.jpg", + "DmUgQzu3Z4U/frame_007.jpg", + "DmUgQzu3Z4U/frame_008.jpg", + "DmUgQzu3Z4U/frame_009.jpg", + "DmUgQzu3Z4U/frame_010.jpg", + "DmUgQzu3Z4U/frame_011.jpg", + "DmUgQzu3Z4U/frame_012.jpg", + "DmUgQzu3Z4U/frame_013.jpg", + "DmUgQzu3Z4U/frame_014.jpg", + "DmUgQzu3Z4U/frame_015.jpg", + "DmUgQzu3Z4U/frame_016.jpg", + "DmUgQzu3Z4U/frame_017.jpg", + "DmUgQzu3Z4U/frame_018.jpg", + "DmUgQzu3Z4U/frame_019.jpg", + "DmUgQzu3Z4U/frame_020.jpg", + "DmUgQzu3Z4U/frame_021.jpg", + "DmUgQzu3Z4U/frame_022.jpg", + "DmUgQzu3Z4U/frame_023.jpg", + "DmUgQzu3Z4U/frame_024.jpg", + "DmUgQzu3Z4U/frame_025.jpg", + "DmUgQzu3Z4U/frame_026.jpg", + "DmUgQzu3Z4U/frame_027.jpg", + "DmUgQzu3Z4U/frame_028.jpg", + "DmUgQzu3Z4U/frame_029.jpg", + "DmUgQzu3Z4U/frame_030.jpg", + "DmUgQzu3Z4U/frame_031.jpg", + "DmUgQzu3Z4U/frame_032.jpg", + "DmUgQzu3Z4U/frame_033.jpg", + "DmUgQzu3Z4U/frame_034.jpg", + "DmUgQzu3Z4U/frame_035.jpg", + "DmUgQzu3Z4U/frame_036.jpg", + "DmUgQzu3Z4U/frame_037.jpg", + "DmUgQzu3Z4U/frame_038.jpg", + "DmUgQzu3Z4U/frame_039.jpg", + "DmUgQzu3Z4U/frame_040.jpg", + "DmUgQzu3Z4U/frame_041.jpg", + "DmUgQzu3Z4U/frame_042.jpg", + "DmUgQzu3Z4U/frame_043.jpg", + "DmUgQzu3Z4U/frame_044.jpg", + "DmUgQzu3Z4U/frame_045.jpg", + "DmUgQzu3Z4U/frame_046.jpg", + "DmUgQzu3Z4U/frame_047.jpg", + "DmUgQzu3Z4U/frame_048.jpg", + "DmUgQzu3Z4U/frame_049.jpg", + "DmUgQzu3Z4U/frame_050.jpg", + "DmUgQzu3Z4U/frame_051.jpg", + "DmUgQzu3Z4U/frame_052.jpg", + "DmUgQzu3Z4U/frame_053.jpg", + "DmUgQzu3Z4U/frame_054.jpg", + "DmUgQzu3Z4U/frame_055.jpg", + "DmUgQzu3Z4U/frame_056.jpg", + "DmUgQzu3Z4U/frame_057.jpg", + "DmUgQzu3Z4U/frame_058.jpg", + "DmUgQzu3Z4U/frame_059.jpg", + "DmUgQzu3Z4U/frame_060.jpg", + "DmUgQzu3Z4U/frame_061.jpg", + "DmUgQzu3Z4U/frame_062.jpg", + "DmUgQzu3Z4U/frame_063.jpg", + "DmUgQzu3Z4U/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video shows a man and a woman getting their faces painted while seated. The man wears a blue shirt and the woman a pink one. Various items like a bowl of noodles, a bottle of mouthwash, and a plate of food are also visible." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0006", + "input": { + "video_file_list": [ + "u0GSFSvWDG4/frame_001.jpg", + "u0GSFSvWDG4/frame_002.jpg", + "u0GSFSvWDG4/frame_003.jpg", + "u0GSFSvWDG4/frame_004.jpg", + "u0GSFSvWDG4/frame_005.jpg", + "u0GSFSvWDG4/frame_006.jpg", + "u0GSFSvWDG4/frame_007.jpg", + "u0GSFSvWDG4/frame_008.jpg", + "u0GSFSvWDG4/frame_009.jpg", + "u0GSFSvWDG4/frame_010.jpg", + "u0GSFSvWDG4/frame_011.jpg", + "u0GSFSvWDG4/frame_012.jpg", + "u0GSFSvWDG4/frame_013.jpg", + "u0GSFSvWDG4/frame_014.jpg", + "u0GSFSvWDG4/frame_015.jpg", + "u0GSFSvWDG4/frame_016.jpg", + "u0GSFSvWDG4/frame_017.jpg", + "u0GSFSvWDG4/frame_018.jpg", + "u0GSFSvWDG4/frame_019.jpg", + "u0GSFSvWDG4/frame_020.jpg", + "u0GSFSvWDG4/frame_021.jpg", + "u0GSFSvWDG4/frame_022.jpg", + "u0GSFSvWDG4/frame_023.jpg", + "u0GSFSvWDG4/frame_024.jpg", + "u0GSFSvWDG4/frame_025.jpg", + "u0GSFSvWDG4/frame_026.jpg", + "u0GSFSvWDG4/frame_027.jpg", + "u0GSFSvWDG4/frame_028.jpg", + "u0GSFSvWDG4/frame_029.jpg", + "u0GSFSvWDG4/frame_030.jpg", + "u0GSFSvWDG4/frame_031.jpg", + "u0GSFSvWDG4/frame_032.jpg", + "u0GSFSvWDG4/frame_033.jpg", + "u0GSFSvWDG4/frame_034.jpg", + "u0GSFSvWDG4/frame_035.jpg", + "u0GSFSvWDG4/frame_036.jpg", + "u0GSFSvWDG4/frame_037.jpg", + "u0GSFSvWDG4/frame_038.jpg", + "u0GSFSvWDG4/frame_039.jpg", + "u0GSFSvWDG4/frame_040.jpg", + "u0GSFSvWDG4/frame_041.jpg", + "u0GSFSvWDG4/frame_042.jpg", + "u0GSFSvWDG4/frame_043.jpg", + "u0GSFSvWDG4/frame_044.jpg", + "u0GSFSvWDG4/frame_045.jpg", + "u0GSFSvWDG4/frame_046.jpg", + "u0GSFSvWDG4/frame_047.jpg", + "u0GSFSvWDG4/frame_048.jpg", + "u0GSFSvWDG4/frame_049.jpg", + "u0GSFSvWDG4/frame_050.jpg", + "u0GSFSvWDG4/frame_051.jpg", + "u0GSFSvWDG4/frame_052.jpg", + "u0GSFSvWDG4/frame_053.jpg", + "u0GSFSvWDG4/frame_054.jpg", + "u0GSFSvWDG4/frame_055.jpg", + "u0GSFSvWDG4/frame_056.jpg", + "u0GSFSvWDG4/frame_057.jpg", + "u0GSFSvWDG4/frame_058.jpg", + "u0GSFSvWDG4/frame_059.jpg", + "u0GSFSvWDG4/frame_060.jpg", + "u0GSFSvWDG4/frame_061.jpg", + "u0GSFSvWDG4/frame_062.jpg", + "u0GSFSvWDG4/frame_063.jpg", + "u0GSFSvWDG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man dining with friends at a restaurant, savoring dishes like shrimp and lobster. He is wearing an apron and holds up food for the camera." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0021", + "input": { + "video_file_list": [ + "YN2URsx8gIs/frame_001.jpg", + "YN2URsx8gIs/frame_002.jpg", + "YN2URsx8gIs/frame_003.jpg", + "YN2URsx8gIs/frame_004.jpg", + "YN2URsx8gIs/frame_005.jpg", + "YN2URsx8gIs/frame_006.jpg", + "YN2URsx8gIs/frame_007.jpg", + "YN2URsx8gIs/frame_008.jpg", + "YN2URsx8gIs/frame_009.jpg", + "YN2URsx8gIs/frame_010.jpg", + "YN2URsx8gIs/frame_011.jpg", + "YN2URsx8gIs/frame_012.jpg", + "YN2URsx8gIs/frame_013.jpg", + "YN2URsx8gIs/frame_014.jpg", + "YN2URsx8gIs/frame_015.jpg", + "YN2URsx8gIs/frame_016.jpg", + "YN2URsx8gIs/frame_017.jpg", + "YN2URsx8gIs/frame_018.jpg", + "YN2URsx8gIs/frame_019.jpg", + "YN2URsx8gIs/frame_020.jpg", + "YN2URsx8gIs/frame_021.jpg", + "YN2URsx8gIs/frame_022.jpg", + "YN2URsx8gIs/frame_023.jpg", + "YN2URsx8gIs/frame_024.jpg", + "YN2URsx8gIs/frame_025.jpg", + "YN2URsx8gIs/frame_026.jpg", + "YN2URsx8gIs/frame_027.jpg", + "YN2URsx8gIs/frame_028.jpg", + "YN2URsx8gIs/frame_029.jpg", + "YN2URsx8gIs/frame_030.jpg", + "YN2URsx8gIs/frame_031.jpg", + "YN2URsx8gIs/frame_032.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman eating fried chicken and a sandwich, drinking soda, and also consuming a piece of bread at a table with others. It concludes with an image of the KFC logo on a red background." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0016", + "input": { + "video_file_list": [ + "PEsqPX-PWOQ/frame_001.jpg", + "PEsqPX-PWOQ/frame_002.jpg", + "PEsqPX-PWOQ/frame_003.jpg", + "PEsqPX-PWOQ/frame_004.jpg", + "PEsqPX-PWOQ/frame_005.jpg", + "PEsqPX-PWOQ/frame_006.jpg", + "PEsqPX-PWOQ/frame_007.jpg", + "PEsqPX-PWOQ/frame_008.jpg", + "PEsqPX-PWOQ/frame_009.jpg", + "PEsqPX-PWOQ/frame_010.jpg", + "PEsqPX-PWOQ/frame_011.jpg", + "PEsqPX-PWOQ/frame_012.jpg", + "PEsqPX-PWOQ/frame_013.jpg", + "PEsqPX-PWOQ/frame_014.jpg", + "PEsqPX-PWOQ/frame_015.jpg", + "PEsqPX-PWOQ/frame_016.jpg", + "PEsqPX-PWOQ/frame_017.jpg", + "PEsqPX-PWOQ/frame_018.jpg", + "PEsqPX-PWOQ/frame_019.jpg", + "PEsqPX-PWOQ/frame_020.jpg", + "PEsqPX-PWOQ/frame_021.jpg", + "PEsqPX-PWOQ/frame_022.jpg", + "PEsqPX-PWOQ/frame_023.jpg", + "PEsqPX-PWOQ/frame_024.jpg", + "PEsqPX-PWOQ/frame_025.jpg", + "PEsqPX-PWOQ/frame_026.jpg", + "PEsqPX-PWOQ/frame_027.jpg", + "PEsqPX-PWOQ/frame_028.jpg", + "PEsqPX-PWOQ/frame_029.jpg", + "PEsqPX-PWOQ/frame_030.jpg", + "PEsqPX-PWOQ/frame_031.jpg", + "PEsqPX-PWOQ/frame_032.jpg", + "PEsqPX-PWOQ/frame_033.jpg", + "PEsqPX-PWOQ/frame_034.jpg", + "PEsqPX-PWOQ/frame_035.jpg", + "PEsqPX-PWOQ/frame_036.jpg", + "PEsqPX-PWOQ/frame_037.jpg", + "PEsqPX-PWOQ/frame_038.jpg", + "PEsqPX-PWOQ/frame_039.jpg", + "PEsqPX-PWOQ/frame_040.jpg", + "PEsqPX-PWOQ/frame_041.jpg", + "PEsqPX-PWOQ/frame_042.jpg", + "PEsqPX-PWOQ/frame_043.jpg", + "PEsqPX-PWOQ/frame_044.jpg", + "PEsqPX-PWOQ/frame_045.jpg", + "PEsqPX-PWOQ/frame_046.jpg", + "PEsqPX-PWOQ/frame_047.jpg", + "PEsqPX-PWOQ/frame_048.jpg", + "PEsqPX-PWOQ/frame_049.jpg", + "PEsqPX-PWOQ/frame_050.jpg", + "PEsqPX-PWOQ/frame_051.jpg", + "PEsqPX-PWOQ/frame_052.jpg", + "PEsqPX-PWOQ/frame_053.jpg", + "PEsqPX-PWOQ/frame_054.jpg", + "PEsqPX-PWOQ/frame_055.jpg", + "PEsqPX-PWOQ/frame_056.jpg", + "PEsqPX-PWOQ/frame_057.jpg", + "PEsqPX-PWOQ/frame_058.jpg", + "PEsqPX-PWOQ/frame_059.jpg", + "PEsqPX-PWOQ/frame_060.jpg", + "PEsqPX-PWOQ/frame_061.jpg", + "PEsqPX-PWOQ/frame_062.jpg", + "PEsqPX-PWOQ/frame_063.jpg", + "PEsqPX-PWOQ/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man cooking and preparing foods like meat, corn, and sandwiches. It also shows someone holding a cake with candles and cutting meat. Additionally, there are images of a spam box and a man in black gloves cutting food." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0000", + "input": { + "video_file_list": [ + "TjNgrAUrnZU/frame_001.jpg", + "TjNgrAUrnZU/frame_002.jpg", + "TjNgrAUrnZU/frame_003.jpg", + "TjNgrAUrnZU/frame_004.jpg", + "TjNgrAUrnZU/frame_005.jpg", + "TjNgrAUrnZU/frame_006.jpg", + "TjNgrAUrnZU/frame_007.jpg", + "TjNgrAUrnZU/frame_008.jpg", + "TjNgrAUrnZU/frame_009.jpg", + "TjNgrAUrnZU/frame_010.jpg", + "TjNgrAUrnZU/frame_011.jpg", + "TjNgrAUrnZU/frame_012.jpg", + "TjNgrAUrnZU/frame_013.jpg", + "TjNgrAUrnZU/frame_014.jpg", + "TjNgrAUrnZU/frame_015.jpg", + "TjNgrAUrnZU/frame_016.jpg", + "TjNgrAUrnZU/frame_017.jpg", + "TjNgrAUrnZU/frame_018.jpg", + "TjNgrAUrnZU/frame_019.jpg", + "TjNgrAUrnZU/frame_020.jpg", + "TjNgrAUrnZU/frame_021.jpg", + "TjNgrAUrnZU/frame_022.jpg", + "TjNgrAUrnZU/frame_023.jpg", + "TjNgrAUrnZU/frame_024.jpg", + "TjNgrAUrnZU/frame_025.jpg", + "TjNgrAUrnZU/frame_026.jpg", + "TjNgrAUrnZU/frame_027.jpg", + "TjNgrAUrnZU/frame_028.jpg", + "TjNgrAUrnZU/frame_029.jpg", + "TjNgrAUrnZU/frame_030.jpg", + "TjNgrAUrnZU/frame_031.jpg", + "TjNgrAUrnZU/frame_032.jpg", + "TjNgrAUrnZU/frame_033.jpg", + "TjNgrAUrnZU/frame_034.jpg", + "TjNgrAUrnZU/frame_035.jpg", + "TjNgrAUrnZU/frame_036.jpg", + "TjNgrAUrnZU/frame_037.jpg", + "TjNgrAUrnZU/frame_038.jpg", + "TjNgrAUrnZU/frame_039.jpg", + "TjNgrAUrnZU/frame_040.jpg", + "TjNgrAUrnZU/frame_041.jpg", + "TjNgrAUrnZU/frame_042.jpg", + "TjNgrAUrnZU/frame_043.jpg", + "TjNgrAUrnZU/frame_044.jpg", + "TjNgrAUrnZU/frame_045.jpg", + "TjNgrAUrnZU/frame_046.jpg", + "TjNgrAUrnZU/frame_047.jpg", + "TjNgrAUrnZU/frame_048.jpg", + "TjNgrAUrnZU/frame_049.jpg", + "TjNgrAUrnZU/frame_050.jpg", + "TjNgrAUrnZU/frame_051.jpg", + "TjNgrAUrnZU/frame_052.jpg", + "TjNgrAUrnZU/frame_053.jpg", + "TjNgrAUrnZU/frame_054.jpg", + "TjNgrAUrnZU/frame_055.jpg", + "TjNgrAUrnZU/frame_056.jpg", + "TjNgrAUrnZU/frame_057.jpg", + "TjNgrAUrnZU/frame_058.jpg", + "TjNgrAUrnZU/frame_059.jpg", + "TjNgrAUrnZU/frame_060.jpg", + "TjNgrAUrnZU/frame_061.jpg", + "TjNgrAUrnZU/frame_062.jpg", + "TjNgrAUrnZU/frame_063.jpg", + "TjNgrAUrnZU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman preparing a drink by chopping fruit and mixing it with other ingredients. The drink is subsequently served to children at a table." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0010", + "input": { + "video_file_list": [ + "DrQzaGncGmw/frame_001.jpg", + "DrQzaGncGmw/frame_002.jpg", + "DrQzaGncGmw/frame_003.jpg", + "DrQzaGncGmw/frame_004.jpg", + "DrQzaGncGmw/frame_005.jpg", + "DrQzaGncGmw/frame_006.jpg", + "DrQzaGncGmw/frame_007.jpg", + "DrQzaGncGmw/frame_008.jpg", + "DrQzaGncGmw/frame_009.jpg", + "DrQzaGncGmw/frame_010.jpg", + "DrQzaGncGmw/frame_011.jpg", + "DrQzaGncGmw/frame_012.jpg", + "DrQzaGncGmw/frame_013.jpg", + "DrQzaGncGmw/frame_014.jpg", + "DrQzaGncGmw/frame_015.jpg", + "DrQzaGncGmw/frame_016.jpg", + "DrQzaGncGmw/frame_017.jpg", + "DrQzaGncGmw/frame_018.jpg", + "DrQzaGncGmw/frame_019.jpg", + "DrQzaGncGmw/frame_020.jpg", + "DrQzaGncGmw/frame_021.jpg", + "DrQzaGncGmw/frame_022.jpg", + "DrQzaGncGmw/frame_023.jpg", + "DrQzaGncGmw/frame_024.jpg", + "DrQzaGncGmw/frame_025.jpg", + "DrQzaGncGmw/frame_026.jpg", + "DrQzaGncGmw/frame_027.jpg", + "DrQzaGncGmw/frame_028.jpg", + "DrQzaGncGmw/frame_029.jpg", + "DrQzaGncGmw/frame_030.jpg", + "DrQzaGncGmw/frame_031.jpg", + "DrQzaGncGmw/frame_032.jpg", + "DrQzaGncGmw/frame_033.jpg", + "DrQzaGncGmw/frame_034.jpg", + "DrQzaGncGmw/frame_035.jpg", + "DrQzaGncGmw/frame_036.jpg", + "DrQzaGncGmw/frame_037.jpg", + "DrQzaGncGmw/frame_038.jpg", + "DrQzaGncGmw/frame_039.jpg", + "DrQzaGncGmw/frame_040.jpg", + "DrQzaGncGmw/frame_041.jpg", + "DrQzaGncGmw/frame_042.jpg", + "DrQzaGncGmw/frame_043.jpg", + "DrQzaGncGmw/frame_044.jpg", + "DrQzaGncGmw/frame_045.jpg", + "DrQzaGncGmw/frame_046.jpg", + "DrQzaGncGmw/frame_047.jpg", + "DrQzaGncGmw/frame_048.jpg", + "DrQzaGncGmw/frame_049.jpg", + "DrQzaGncGmw/frame_050.jpg", + "DrQzaGncGmw/frame_051.jpg", + "DrQzaGncGmw/frame_052.jpg", + "DrQzaGncGmw/frame_053.jpg", + "DrQzaGncGmw/frame_054.jpg", + "DrQzaGncGmw/frame_055.jpg", + "DrQzaGncGmw/frame_056.jpg", + "DrQzaGncGmw/frame_057.jpg", + "DrQzaGncGmw/frame_058.jpg", + "DrQzaGncGmw/frame_059.jpg", + "DrQzaGncGmw/frame_060.jpg", + "DrQzaGncGmw/frame_061.jpg", + "DrQzaGncGmw/frame_062.jpg", + "DrQzaGncGmw/frame_063.jpg", + "DrQzaGncGmw/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two girls enjoying different foods like hot dogs and corn dogs, wearing colorful hats and glasses. They also munch on noodles and other snacks, making amusing faces. The clip concludes with them seated together at a table, still eating." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0020", + "input": { + "video_file_list": [ + "qS14bF26IO0_processed/frame_001.jpg", + "qS14bF26IO0_processed/frame_002.jpg", + "qS14bF26IO0_processed/frame_003.jpg", + "qS14bF26IO0_processed/frame_004.jpg", + "qS14bF26IO0_processed/frame_005.jpg", + "qS14bF26IO0_processed/frame_006.jpg", + "qS14bF26IO0_processed/frame_007.jpg", + "qS14bF26IO0_processed/frame_008.jpg", + "qS14bF26IO0_processed/frame_009.jpg", + "qS14bF26IO0_processed/frame_010.jpg", + "qS14bF26IO0_processed/frame_011.jpg", + "qS14bF26IO0_processed/frame_012.jpg", + "qS14bF26IO0_processed/frame_013.jpg", + "qS14bF26IO0_processed/frame_014.jpg", + "qS14bF26IO0_processed/frame_015.jpg", + "qS14bF26IO0_processed/frame_016.jpg", + "qS14bF26IO0_processed/frame_017.jpg", + "qS14bF26IO0_processed/frame_018.jpg", + "qS14bF26IO0_processed/frame_019.jpg", + "qS14bF26IO0_processed/frame_020.jpg", + "qS14bF26IO0_processed/frame_021.jpg", + "qS14bF26IO0_processed/frame_022.jpg", + "qS14bF26IO0_processed/frame_023.jpg", + "qS14bF26IO0_processed/frame_024.jpg", + "qS14bF26IO0_processed/frame_025.jpg", + "qS14bF26IO0_processed/frame_026.jpg", + "qS14bF26IO0_processed/frame_027.jpg", + "qS14bF26IO0_processed/frame_028.jpg", + "qS14bF26IO0_processed/frame_029.jpg", + "qS14bF26IO0_processed/frame_030.jpg", + "qS14bF26IO0_processed/frame_031.jpg", + "qS14bF26IO0_processed/frame_032.jpg", + "qS14bF26IO0_processed/frame_033.jpg", + "qS14bF26IO0_processed/frame_034.jpg", + "qS14bF26IO0_processed/frame_035.jpg", + "qS14bF26IO0_processed/frame_036.jpg", + "qS14bF26IO0_processed/frame_037.jpg", + "qS14bF26IO0_processed/frame_038.jpg", + "qS14bF26IO0_processed/frame_039.jpg", + "qS14bF26IO0_processed/frame_040.jpg", + "qS14bF26IO0_processed/frame_041.jpg", + "qS14bF26IO0_processed/frame_042.jpg", + "qS14bF26IO0_processed/frame_043.jpg", + "qS14bF26IO0_processed/frame_044.jpg", + "qS14bF26IO0_processed/frame_045.jpg", + "qS14bF26IO0_processed/frame_046.jpg", + "qS14bF26IO0_processed/frame_047.jpg", + "qS14bF26IO0_processed/frame_048.jpg", + "qS14bF26IO0_processed/frame_049.jpg", + "qS14bF26IO0_processed/frame_050.jpg", + "qS14bF26IO0_processed/frame_051.jpg", + "qS14bF26IO0_processed/frame_052.jpg", + "qS14bF26IO0_processed/frame_053.jpg", + "qS14bF26IO0_processed/frame_054.jpg", + "qS14bF26IO0_processed/frame_055.jpg", + "qS14bF26IO0_processed/frame_056.jpg", + "qS14bF26IO0_processed/frame_057.jpg", + "qS14bF26IO0_processed/frame_058.jpg", + "qS14bF26IO0_processed/frame_059.jpg", + "qS14bF26IO0_processed/frame_060.jpg", + "qS14bF26IO0_processed/frame_061.jpg", + "qS14bF26IO0_processed/frame_062.jpg", + "qS14bF26IO0_processed/frame_063.jpg", + "qS14bF26IO0_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two men dining on ramen, evaluating it as they sit at a table. One man wears a black jacket, while the other has long hair. They use paper towels to clear their bowls after finishing their meal." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0002", + "input": { + "video_file_list": [ + "UEECwQ_kYLs/frame_001.jpg", + "UEECwQ_kYLs/frame_002.jpg", + "UEECwQ_kYLs/frame_003.jpg", + "UEECwQ_kYLs/frame_004.jpg", + "UEECwQ_kYLs/frame_005.jpg", + "UEECwQ_kYLs/frame_006.jpg", + "UEECwQ_kYLs/frame_007.jpg", + "UEECwQ_kYLs/frame_008.jpg", + "UEECwQ_kYLs/frame_009.jpg", + "UEECwQ_kYLs/frame_010.jpg", + "UEECwQ_kYLs/frame_011.jpg", + "UEECwQ_kYLs/frame_012.jpg", + "UEECwQ_kYLs/frame_013.jpg", + "UEECwQ_kYLs/frame_014.jpg", + "UEECwQ_kYLs/frame_015.jpg", + "UEECwQ_kYLs/frame_016.jpg", + "UEECwQ_kYLs/frame_017.jpg", + "UEECwQ_kYLs/frame_018.jpg", + "UEECwQ_kYLs/frame_019.jpg", + "UEECwQ_kYLs/frame_020.jpg", + "UEECwQ_kYLs/frame_021.jpg", + "UEECwQ_kYLs/frame_022.jpg", + "UEECwQ_kYLs/frame_023.jpg", + "UEECwQ_kYLs/frame_024.jpg", + "UEECwQ_kYLs/frame_025.jpg", + "UEECwQ_kYLs/frame_026.jpg", + "UEECwQ_kYLs/frame_027.jpg", + "UEECwQ_kYLs/frame_028.jpg", + "UEECwQ_kYLs/frame_029.jpg", + "UEECwQ_kYLs/frame_030.jpg", + "UEECwQ_kYLs/frame_031.jpg", + "UEECwQ_kYLs/frame_032.jpg", + "UEECwQ_kYLs/frame_033.jpg", + "UEECwQ_kYLs/frame_034.jpg", + "UEECwQ_kYLs/frame_035.jpg", + "UEECwQ_kYLs/frame_036.jpg", + "UEECwQ_kYLs/frame_037.jpg", + "UEECwQ_kYLs/frame_038.jpg", + "UEECwQ_kYLs/frame_039.jpg", + "UEECwQ_kYLs/frame_040.jpg", + "UEECwQ_kYLs/frame_041.jpg", + "UEECwQ_kYLs/frame_042.jpg", + "UEECwQ_kYLs/frame_043.jpg", + "UEECwQ_kYLs/frame_044.jpg", + "UEECwQ_kYLs/frame_045.jpg", + "UEECwQ_kYLs/frame_046.jpg", + "UEECwQ_kYLs/frame_047.jpg", + "UEECwQ_kYLs/frame_048.jpg", + "UEECwQ_kYLs/frame_049.jpg", + "UEECwQ_kYLs/frame_050.jpg", + "UEECwQ_kYLs/frame_051.jpg", + "UEECwQ_kYLs/frame_052.jpg", + "UEECwQ_kYLs/frame_053.jpg", + "UEECwQ_kYLs/frame_054.jpg", + "UEECwQ_kYLs/frame_055.jpg", + "UEECwQ_kYLs/frame_056.jpg", + "UEECwQ_kYLs/frame_057.jpg", + "UEECwQ_kYLs/frame_058.jpg", + "UEECwQ_kYLs/frame_059.jpg", + "UEECwQ_kYLs/frame_060.jpg", + "UEECwQ_kYLs/frame_061.jpg", + "UEECwQ_kYLs/frame_062.jpg", + "UEECwQ_kYLs/frame_063.jpg", + "UEECwQ_kYLs/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing mashed potatoes and gravy, then placing them on a plate." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0009", + "input": { + "video_file_list": [ + "DdXJLahuv-g_processed/frame_001.jpg", + "DdXJLahuv-g_processed/frame_002.jpg", + "DdXJLahuv-g_processed/frame_003.jpg", + "DdXJLahuv-g_processed/frame_004.jpg", + "DdXJLahuv-g_processed/frame_005.jpg", + "DdXJLahuv-g_processed/frame_006.jpg", + "DdXJLahuv-g_processed/frame_007.jpg", + "DdXJLahuv-g_processed/frame_008.jpg", + "DdXJLahuv-g_processed/frame_009.jpg", + "DdXJLahuv-g_processed/frame_010.jpg", + "DdXJLahuv-g_processed/frame_011.jpg", + "DdXJLahuv-g_processed/frame_012.jpg", + "DdXJLahuv-g_processed/frame_013.jpg", + "DdXJLahuv-g_processed/frame_014.jpg", + "DdXJLahuv-g_processed/frame_015.jpg", + "DdXJLahuv-g_processed/frame_016.jpg", + "DdXJLahuv-g_processed/frame_017.jpg", + "DdXJLahuv-g_processed/frame_018.jpg", + "DdXJLahuv-g_processed/frame_019.jpg", + "DdXJLahuv-g_processed/frame_020.jpg", + "DdXJLahuv-g_processed/frame_021.jpg", + "DdXJLahuv-g_processed/frame_022.jpg", + "DdXJLahuv-g_processed/frame_023.jpg", + "DdXJLahuv-g_processed/frame_024.jpg", + "DdXJLahuv-g_processed/frame_025.jpg", + "DdXJLahuv-g_processed/frame_026.jpg", + "DdXJLahuv-g_processed/frame_027.jpg", + "DdXJLahuv-g_processed/frame_028.jpg", + "DdXJLahuv-g_processed/frame_029.jpg", + "DdXJLahuv-g_processed/frame_030.jpg", + "DdXJLahuv-g_processed/frame_031.jpg", + "DdXJLahuv-g_processed/frame_032.jpg", + "DdXJLahuv-g_processed/frame_033.jpg", + "DdXJLahuv-g_processed/frame_034.jpg", + "DdXJLahuv-g_processed/frame_035.jpg", + "DdXJLahuv-g_processed/frame_036.jpg", + "DdXJLahuv-g_processed/frame_037.jpg", + "DdXJLahuv-g_processed/frame_038.jpg", + "DdXJLahuv-g_processed/frame_039.jpg", + "DdXJLahuv-g_processed/frame_040.jpg", + "DdXJLahuv-g_processed/frame_041.jpg", + "DdXJLahuv-g_processed/frame_042.jpg", + "DdXJLahuv-g_processed/frame_043.jpg", + "DdXJLahuv-g_processed/frame_044.jpg", + "DdXJLahuv-g_processed/frame_045.jpg", + "DdXJLahuv-g_processed/frame_046.jpg", + "DdXJLahuv-g_processed/frame_047.jpg", + "DdXJLahuv-g_processed/frame_048.jpg", + "DdXJLahuv-g_processed/frame_049.jpg", + "DdXJLahuv-g_processed/frame_050.jpg", + "DdXJLahuv-g_processed/frame_051.jpg", + "DdXJLahuv-g_processed/frame_052.jpg", + "DdXJLahuv-g_processed/frame_053.jpg", + "DdXJLahuv-g_processed/frame_054.jpg", + "DdXJLahuv-g_processed/frame_055.jpg", + "DdXJLahuv-g_processed/frame_056.jpg", + "DdXJLahuv-g_processed/frame_057.jpg", + "DdXJLahuv-g_processed/frame_058.jpg", + "DdXJLahuv-g_processed/frame_059.jpg", + "DdXJLahuv-g_processed/frame_060.jpg", + "DdXJLahuv-g_processed/frame_061.jpg", + "DdXJLahuv-g_processed/frame_062.jpg", + "DdXJLahuv-g_processed/frame_063.jpg", + "DdXJLahuv-g_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts individuals cutting and drilling logs, which are then transported on trucks. Additionally, it showcases mushrooms growing in a greenhouse." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/UAVBuildingTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/UAVBuildingTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..569984b0b67e9741e5a1e97c830f99ed7fae24f5 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/UAVBuildingTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, uav video, building", + "data_source": "UAV123", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_uav0544", + "input": { + "video_folder": "./images/0544", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0437", + "input": { + "video_folder": "./images/0437", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0649", + "input": { + "video_folder": "./images/0649", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0474", + "input": { + "video_folder": "./images/0474", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0788", + "input": { + "video_folder": "./images/0788", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/UAVGeneralObjectTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/UAVGeneralObjectTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..38b8795ccb0fa86945e477c67b92d8f5f491d72f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/UAVGeneralObjectTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, uav video, others", + "data_source": "UAV123", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_uav0284", + "input": { + "video_folder": "./images/0284", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav2494", + "input": { + "video_folder": "./images/2494", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0030", + "input": { + "video_folder": "./images/0030", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0195", + "input": { + "video_folder": "./images/0195", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav0278", + "input": { + "video_folder": "./images/0278", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/UAVHumanTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/UAVHumanTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2517e2f53757af7509899c96c2f79d77921def00 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/UAVHumanTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, uav video, person", + "data_source": "UAV123", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_uav1712", + "input": { + "video_folder": "./images/1712", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1551", + "input": { + "video_folder": "./images/1551", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1747", + "input": { + "video_folder": "./images/1747", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1688", + "input": { + "video_folder": "./images/1688", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1690", + "input": { + "video_folder": "./images/1690", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/UAVUAVTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/UAVUAVTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..37424b1f694e321005b1c4cebe4553d3bd77ad79 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/UAVUAVTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, uav video, uav", + "data_source": "UAV123", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_uav2035", + "input": { + "video_folder": "./images/2035", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav2016", + "input": { + "video_folder": "./images/2016", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav2116", + "input": { + "video_folder": "./images/2116", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1958", + "input": { + "video_folder": "./images/1958", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav2176", + "input": { + "video_folder": "./images/2176", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/UAVVehicleTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/UAVVehicleTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..48737d3910d6bb59245e8a29cddce9fe8ee7ec5f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/UAVVehicleTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, uav video, car", + "data_source": "UAV123", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_uav1286", + "input": { + "video_folder": "./images/1286", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1011", + "input": { + "video_folder": "./images/1011", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1205", + "input": { + "video_folder": "./images/1205", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1188", + "input": { + "video_folder": "./images/1188", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_uav1051", + "input": { + "video_folder": "./images/1051", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VehicleTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VehicleTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b000161cd4f7d16c01ed47d763467272d5c7fa9f --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VehicleTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, vot video, vehicle", + "data_source": "VOT2022", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0514", + "input": { + "video_folder": "./images/0514", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1761", + "input": { + "video_folder": "./images/1761", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0542", + "input": { + "video_folder": "./images/0542", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1730", + "input": { + "video_folder": "./images/1730", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1757", + "input": { + "video_folder": "./images/1757", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + 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different lures they are using for ice fishing; (3)The video ends with the closing credits and Graphics shown on the screen; (4)An introduction comes onto the screen for a video about fishing lures." + }, + "output": { + "text": "4->2->1->3" + } + }, + { + "id": "vc_closeset_videoactionordering_0019", + "input": { + "video_file_list": [ + "order_41/frame_00000.jpg", + "order_41/frame_00084.jpg", + "order_41/frame_00168.jpg", + "order_41/frame_00252.jpg", + "order_41/frame_00336.jpg", + "order_41/frame_00420.jpg", + "order_41/frame_00504.jpg", + "order_41/frame_00588.jpg", + "order_41/frame_00672.jpg", + "order_41/frame_00756.jpg", + "order_41/frame_00840.jpg", + "order_41/frame_00924.jpg", + "order_41/frame_01008.jpg", + "order_41/frame_01092.jpg", + "order_41/frame_01176.jpg", + "order_41/frame_01260.jpg", + "order_41/frame_01344.jpg", + "order_41/frame_01428.jpg", + "order_41/frame_01512.jpg", + "order_41/frame_01596.jpg", + "order_41/frame_01680.jpg", + "order_41/frame_01764.jpg", + 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onto the rope; (2)A seal sits on a rock near an ocean; (3)The man films from a beach cliff next to a tent; (4)The man walks across the rope all the way to the attached rock." + }, + "output": { + "text": "2->1->4->3" + } + }, + { + "id": "vc_closeset_videoactionordering_0045", + "input": { + "video_file_list": [ + "order_7/frame_00000.jpg", + "order_7/frame_00102.jpg", + "order_7/frame_00204.jpg", + "order_7/frame_00306.jpg", + "order_7/frame_00408.jpg", + "order_7/frame_00510.jpg", + "order_7/frame_00612.jpg", + "order_7/frame_00714.jpg", + "order_7/frame_00816.jpg", + "order_7/frame_00918.jpg", + "order_7/frame_01020.jpg", + "order_7/frame_01122.jpg", + "order_7/frame_01224.jpg", + "order_7/frame_01326.jpg", + "order_7/frame_01428.jpg", + "order_7/frame_01530.jpg", + "order_7/frame_01632.jpg", + "order_7/frame_01734.jpg", + "order_7/frame_01836.jpg", + "order_7/frame_01938.jpg", + "order_7/frame_02040.jpg", + "order_7/frame_02142.jpg", + "order_7/frame_02244.jpg", + 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(4)Credits overlay a black screen." + }, + "output": { + "text": "2->1->3->4" + } + }, + { + "id": "vc_closeset_videoactionordering_0020", + "input": { + "video_file_list": [ + "order_11/frame_00000.jpg", + "order_11/frame_00088.jpg", + "order_11/frame_00176.jpg", + "order_11/frame_00264.jpg", + "order_11/frame_00352.jpg", + "order_11/frame_00440.jpg", + "order_11/frame_00528.jpg", + "order_11/frame_00616.jpg", + "order_11/frame_00704.jpg", + "order_11/frame_00792.jpg", + "order_11/frame_00880.jpg", + "order_11/frame_00968.jpg", + "order_11/frame_01056.jpg", + "order_11/frame_01144.jpg", + "order_11/frame_01232.jpg", + "order_11/frame_01320.jpg", + "order_11/frame_01408.jpg", + "order_11/frame_01496.jpg", + "order_11/frame_01584.jpg", + "order_11/frame_01672.jpg", + "order_11/frame_01760.jpg", + "order_11/frame_01848.jpg", + "order_11/frame_01936.jpg", + "order_11/frame_02024.jpg", + "order_11/frame_02112.jpg", + "order_11/frame_02200.jpg", + "order_11/frame_02288.jpg", + 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"order_11/frame_16896.jpg", + "order_11/frame_16984.jpg", + "order_11/frame_17072.jpg", + "order_11/frame_17160.jpg", + "order_11/frame_17248.jpg", + "order_11/frame_17336.jpg", + "order_11/frame_17424.jpg", + "order_11/frame_17512.jpg", + "order_11/frame_17600.jpg", + "order_11/frame_17688.jpg" + ], + "prompt": "Arrange the following events from the video in the correct chronological order: (1)The man attempts to walk across the rope but falls and holds onto the rope; (2)A seal sits on a rock near an ocean; (3)The man films from a beach cliff next to a tent; (4)The man walks across the rope all the way to the attached rock." + }, + "output": { + "text": "2->1->4->3" + } + }, + { + "id": "vc_closeset_videoactionordering_0055", + "input": { + "video_file_list": [ + "order_130/frame_00000.jpg", + "order_130/frame_00102.jpg", + "order_130/frame_00204.jpg", + "order_130/frame_00306.jpg", + "order_130/frame_00408.jpg", + "order_130/frame_00510.jpg", + "order_130/frame_00612.jpg", + 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"order_130/frame_17034.jpg", + "order_130/frame_17136.jpg", + "order_130/frame_17238.jpg", + "order_130/frame_17340.jpg", + "order_130/frame_17442.jpg", + "order_130/frame_17544.jpg", + "order_130/frame_17646.jpg", + "order_130/frame_17748.jpg", + "order_130/frame_17850.jpg", + "order_130/frame_17952.jpg", + "order_130/frame_18054.jpg", + "order_130/frame_18156.jpg", + "order_130/frame_18258.jpg", + "order_130/frame_18360.jpg", + "order_130/frame_18462.jpg", + "order_130/frame_18564.jpg", + "order_130/frame_18666.jpg", + "order_130/frame_18768.jpg", + "order_130/frame_18870.jpg", + "order_130/frame_18972.jpg", + "order_130/frame_19074.jpg", + "order_130/frame_19176.jpg", + "order_130/frame_19278.jpg", + "order_130/frame_19380.jpg", + "order_130/frame_19482.jpg", + "order_130/frame_19584.jpg", + "order_130/frame_19686.jpg", + "order_130/frame_19788.jpg", + "order_130/frame_19890.jpg", + "order_130/frame_19992.jpg", + "order_130/frame_20094.jpg", + "order_130/frame_20196.jpg", + "order_130/frame_20298.jpg", + "order_130/frame_20400.jpg", + "order_130/frame_20502.jpg" + ], + "prompt": "Arrange the following events from the video in the correct chronological order: (1)The blue and gray guy are on a seesaw and the blue guy jumps at the gray guy; (2)A man's image as he talks is imposed over trees and the man make gestures towards his mouth; (3)Both of the characters fall off the map; (4)We see a game of rock em sock em style robots on a computer screen cut with images of the man narrating in the lower left corner." + }, + "output": { + "text": "2->4->1->3" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoActionSequencePrediction/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoActionSequencePrediction/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1a4a3b84a7021a99dc2e70c86359eef25a47330c --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoActionSequencePrediction/annotation.json @@ -0,0 +1,399 @@ +{ + "task": "VideoActionSequencePrediction", + "data_source": "MVBench:STAR", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videoactionsequenceprediction_0017", + "input": { + "video_file_list": [ + "43FG9/frame_00000.jpg", + "43FG9/frame_00003.jpg", + "43FG9/frame_00006.jpg", + "43FG9/frame_00009.jpg", + "43FG9/frame_00012.jpg", + "43FG9/frame_00015.jpg", + "43FG9/frame_00018.jpg", + "43FG9/frame_00021.jpg", + "43FG9/frame_00024.jpg", + "43FG9/frame_00027.jpg", + "43FG9/frame_00030.jpg", + "43FG9/frame_00033.jpg", + "43FG9/frame_00036.jpg", + "43FG9/frame_00039.jpg", + "43FG9/frame_00042.jpg", + "43FG9/frame_00045.jpg", + "43FG9/frame_00048.jpg", + "43FG9/frame_00051.jpg", + "43FG9/frame_00054.jpg" + ], + "prompt": "What is the next action of the person?" + }, + "output": { + "text": "throw the towel." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0039", + "input": { + "video_file_list": [ + "D8OSC/frame_00000.jpg", + "D8OSC/frame_00009.jpg", + "D8OSC/frame_00018.jpg", + "D8OSC/frame_00027.jpg", + "D8OSC/frame_00036.jpg", + "D8OSC/frame_00045.jpg", + "D8OSC/frame_00054.jpg", + "D8OSC/frame_00063.jpg", + "D8OSC/frame_00072.jpg", + "D8OSC/frame_00081.jpg", + "D8OSC/frame_00090.jpg", + "D8OSC/frame_00099.jpg", + "D8OSC/frame_00108.jpg", + "D8OSC/frame_00117.jpg", + "D8OSC/frame_00126.jpg", + "D8OSC/frame_00135.jpg", + "D8OSC/frame_00144.jpg", + "D8OSC/frame_00153.jpg", + "D8OSC/frame_00162.jpg", + "D8OSC/frame_00171.jpg", + "D8OSC/frame_00180.jpg", + "D8OSC/frame_00189.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "put down the broom." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0085", + "input": { + "video_file_list": [ + "EDVAM/frame_00000.jpg", + "EDVAM/frame_00009.jpg", + "EDVAM/frame_00018.jpg", + "EDVAM/frame_00027.jpg", + "EDVAM/frame_00036.jpg", + "EDVAM/frame_00045.jpg", + "EDVAM/frame_00054.jpg", + "EDVAM/frame_00063.jpg", + "EDVAM/frame_00072.jpg", + "EDVAM/frame_00081.jpg", + "EDVAM/frame_00090.jpg", + "EDVAM/frame_00099.jpg", + "EDVAM/frame_00108.jpg", + "EDVAM/frame_00117.jpg", + "EDVAM/frame_00126.jpg", + "EDVAM/frame_00135.jpg", + "EDVAM/frame_00144.jpg", + "EDVAM/frame_00153.jpg", + "EDVAM/frame_00162.jpg", + "EDVAM/frame_00171.jpg", + "EDVAM/frame_00180.jpg", + "EDVAM/frame_00189.jpg", + "EDVAM/frame_00198.jpg", + "EDVAM/frame_00207.jpg", + "EDVAM/frame_00216.jpg", + "EDVAM/frame_00225.jpg", + "EDVAM/frame_00234.jpg", + "EDVAM/frame_00243.jpg", + "EDVAM/frame_00252.jpg", + "EDVAM/frame_00261.jpg", + "EDVAM/frame_00270.jpg", + "EDVAM/frame_00279.jpg", + "EDVAM/frame_00288.jpg", + "EDVAM/frame_00297.jpg", + "EDVAM/frame_00306.jpg", + "EDVAM/frame_00315.jpg", + "EDVAM/frame_00324.jpg", + "EDVAM/frame_00333.jpg", + "EDVAM/frame_00342.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "close the window." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0001", + "input": { + "video_file_list": [ + "8LAK1/frame_00131.jpg", + "8LAK1/frame_00160.jpg", + "8LAK1/frame_00189.jpg", + "8LAK1/frame_00218.jpg", + "8LAK1/frame_00247.jpg", + "8LAK1/frame_00276.jpg", + "8LAK1/frame_00305.jpg", + "8LAK1/frame_00334.jpg", + "8LAK1/frame_00363.jpg", + "8LAK1/frame_00392.jpg", + "8LAK1/frame_00421.jpg", + "8LAK1/frame_00450.jpg", + "8LAK1/frame_00479.jpg", + "8LAK1/frame_00508.jpg", + "8LAK1/frame_00537.jpg", + "8LAK1/frame_00566.jpg", + "8LAK1/frame_00595.jpg", + "8LAK1/frame_00624.jpg", + "8LAK1/frame_00653.jpg", + "8LAK1/frame_00682.jpg", + "8LAK1/frame_00711.jpg", + "8LAK1/frame_00740.jpg", + "8LAK1/frame_00769.jpg", + "8LAK1/frame_00798.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "take the shoe." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0096", + "input": { + "video_file_list": [ + "U0X4P/frame_00000.jpg", + "U0X4P/frame_00016.jpg", + "U0X4P/frame_00032.jpg", + "U0X4P/frame_00048.jpg", + "U0X4P/frame_00064.jpg", + "U0X4P/frame_00080.jpg", + "U0X4P/frame_00096.jpg", + "U0X4P/frame_00112.jpg", + "U0X4P/frame_00128.jpg", + "U0X4P/frame_00144.jpg", + "U0X4P/frame_00160.jpg", + "U0X4P/frame_00176.jpg", + "U0X4P/frame_00192.jpg", + "U0X4P/frame_00208.jpg", + "U0X4P/frame_00224.jpg", + "U0X4P/frame_00240.jpg", + "U0X4P/frame_00256.jpg", + "U0X4P/frame_00272.jpg", + "U0X4P/frame_00288.jpg", + "U0X4P/frame_00304.jpg", + "U0X4P/frame_00320.jpg", + "U0X4P/frame_00336.jpg", + "U0X4P/frame_00352.jpg", + "U0X4P/frame_00368.jpg", + "U0X4P/frame_00384.jpg", + "U0X4P/frame_00400.jpg", + "U0X4P/frame_00416.jpg", + "U0X4P/frame_00432.jpg", + "U0X4P/frame_00448.jpg" + ], + "prompt": "What is the next action of the person?" + }, + "output": { + "text": "throw the clothes." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0023", + "input": { + "video_file_list": [ + "QRWQ3/frame_00176.jpg", + "QRWQ3/frame_00205.jpg", + "QRWQ3/frame_00234.jpg", + "QRWQ3/frame_00263.jpg", + "QRWQ3/frame_00292.jpg", + "QRWQ3/frame_00321.jpg", + "QRWQ3/frame_00350.jpg", + "QRWQ3/frame_00379.jpg", + "QRWQ3/frame_00408.jpg", + "QRWQ3/frame_00437.jpg", + "QRWQ3/frame_00466.jpg", + "QRWQ3/frame_00495.jpg", + "QRWQ3/frame_00524.jpg", + "QRWQ3/frame_00553.jpg", + "QRWQ3/frame_00582.jpg", + "QRWQ3/frame_00611.jpg", + "QRWQ3/frame_00640.jpg", + "QRWQ3/frame_00669.jpg", + "QRWQ3/frame_00698.jpg", + "QRWQ3/frame_00727.jpg", + "QRWQ3/frame_00756.jpg", + "QRWQ3/frame_00785.jpg", + "QRWQ3/frame_00814.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "Open the box." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0018", + "input": { + "video_file_list": [ + "AZFKK/frame_00000.jpg", + "AZFKK/frame_00008.jpg", + "AZFKK/frame_00016.jpg", + "AZFKK/frame_00024.jpg", + "AZFKK/frame_00032.jpg", + "AZFKK/frame_00040.jpg", + "AZFKK/frame_00048.jpg", + "AZFKK/frame_00056.jpg", + "AZFKK/frame_00064.jpg", + "AZFKK/frame_00072.jpg", + "AZFKK/frame_00080.jpg", + "AZFKK/frame_00088.jpg", + "AZFKK/frame_00096.jpg", + "AZFKK/frame_00104.jpg", + "AZFKK/frame_00112.jpg", + "AZFKK/frame_00120.jpg", + "AZFKK/frame_00128.jpg", + "AZFKK/frame_00136.jpg", + "AZFKK/frame_00144.jpg", + "AZFKK/frame_00152.jpg", + "AZFKK/frame_00160.jpg", + "AZFKK/frame_00168.jpg", + "AZFKK/frame_00176.jpg", + "AZFKK/frame_00184.jpg", + "AZFKK/frame_00192.jpg", + "AZFKK/frame_00200.jpg", + "AZFKK/frame_00208.jpg", + "AZFKK/frame_00216.jpg", + "AZFKK/frame_00224.jpg", + "AZFKK/frame_00232.jpg", + "AZFKK/frame_00240.jpg", + "AZFKK/frame_00248.jpg", + "AZFKK/frame_00256.jpg", + "AZFKK/frame_00264.jpg", + "AZFKK/frame_00272.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "Take the paper/notebook." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0027", + "input": { + "video_file_list": [ + "FL6DF/frame_00093.jpg", + "FL6DF/frame_00102.jpg", + "FL6DF/frame_00111.jpg", + "FL6DF/frame_00120.jpg", + "FL6DF/frame_00129.jpg", + "FL6DF/frame_00138.jpg", + "FL6DF/frame_00147.jpg", + "FL6DF/frame_00156.jpg", + "FL6DF/frame_00165.jpg", + "FL6DF/frame_00174.jpg", + "FL6DF/frame_00183.jpg", + "FL6DF/frame_00192.jpg", + "FL6DF/frame_00201.jpg", + "FL6DF/frame_00210.jpg", + "FL6DF/frame_00219.jpg", + "FL6DF/frame_00228.jpg", + "FL6DF/frame_00237.jpg", + "FL6DF/frame_00246.jpg", + "FL6DF/frame_00255.jpg", + "FL6DF/frame_00264.jpg", + "FL6DF/frame_00273.jpg", + "FL6DF/frame_00282.jpg", + "FL6DF/frame_00291.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "put down the blanket." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0083", + "input": { + "video_file_list": [ + "7SXQS/frame_00029.jpg", + "7SXQS/frame_00038.jpg", + "7SXQS/frame_00047.jpg", + "7SXQS/frame_00056.jpg", + "7SXQS/frame_00065.jpg", + "7SXQS/frame_00074.jpg", + "7SXQS/frame_00083.jpg", + "7SXQS/frame_00092.jpg", + "7SXQS/frame_00101.jpg", + "7SXQS/frame_00110.jpg", + "7SXQS/frame_00119.jpg", + "7SXQS/frame_00128.jpg", + "7SXQS/frame_00137.jpg", + "7SXQS/frame_00146.jpg", + "7SXQS/frame_00155.jpg", + "7SXQS/frame_00164.jpg", + "7SXQS/frame_00173.jpg", + "7SXQS/frame_00182.jpg", + "7SXQS/frame_00191.jpg", + "7SXQS/frame_00200.jpg", + "7SXQS/frame_00209.jpg", + "7SXQS/frame_00218.jpg", + "7SXQS/frame_00227.jpg", + "7SXQS/frame_00236.jpg", + "7SXQS/frame_00245.jpg", + "7SXQS/frame_00254.jpg", + "7SXQS/frame_00263.jpg", + "7SXQS/frame_00272.jpg", + "7SXQS/frame_00281.jpg", + "7SXQS/frame_00290.jpg", + "7SXQS/frame_00299.jpg", + "7SXQS/frame_00308.jpg", + "7SXQS/frame_00317.jpg", + "7SXQS/frame_00326.jpg", + "7SXQS/frame_00335.jpg", + "7SXQS/frame_00344.jpg", + "7SXQS/frame_00353.jpg", + "7SXQS/frame_00362.jpg", + "7SXQS/frame_00371.jpg" + ], + "prompt": "What is the next action of the person?" + }, + "output": { + "text": "take the blanket." + } + }, + { + "id": "vc_closeset_videoactionsequenceprediction_0042", + "input": { + "video_file_list": [ + "UEP20/frame_00000.jpg", + "UEP20/frame_00030.jpg", + "UEP20/frame_00060.jpg", + "UEP20/frame_00090.jpg", + "UEP20/frame_00120.jpg", + "UEP20/frame_00150.jpg", + "UEP20/frame_00180.jpg", + "UEP20/frame_00210.jpg", + "UEP20/frame_00240.jpg", + "UEP20/frame_00270.jpg", + "UEP20/frame_00300.jpg", + "UEP20/frame_00330.jpg", + "UEP20/frame_00360.jpg", + "UEP20/frame_00390.jpg", + "UEP20/frame_00420.jpg", + "UEP20/frame_00450.jpg", + "UEP20/frame_00480.jpg", + "UEP20/frame_00510.jpg", + "UEP20/frame_00540.jpg", + "UEP20/frame_00570.jpg" + ], + "prompt": "What is the next action the person will take?" + }, + "output": { + "text": "Take the sandwich." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoActionSequenceUnderstanding/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoActionSequenceUnderstanding/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..523369cc38ab96f5ca6e4e6ee870b9b46e8030f7 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoActionSequenceUnderstanding/annotation.json @@ -0,0 +1,476 @@ +{ + "task": "VideoActionSequenceUnderstanding", + "data_source": "MVBench:STAR", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videoactionsequenceunderstanding_0003", + "input": { + "video_file_list": [ + "8G9A9/frame_00056.jpg", + "8G9A9/frame_00065.jpg", + "8G9A9/frame_00074.jpg", + "8G9A9/frame_00083.jpg", + "8G9A9/frame_00092.jpg", + "8G9A9/frame_00101.jpg", + "8G9A9/frame_00110.jpg", + "8G9A9/frame_00119.jpg", + "8G9A9/frame_00128.jpg", + "8G9A9/frame_00137.jpg", + "8G9A9/frame_00146.jpg", + "8G9A9/frame_00155.jpg", + "8G9A9/frame_00164.jpg", + "8G9A9/frame_00173.jpg", + "8G9A9/frame_00182.jpg", + "8G9A9/frame_00191.jpg", + "8G9A9/frame_00200.jpg", + "8G9A9/frame_00209.jpg", + "8G9A9/frame_00218.jpg", + "8G9A9/frame_00227.jpg", + "8G9A9/frame_00236.jpg", + "8G9A9/frame_00245.jpg", + "8G9A9/frame_00254.jpg", + "8G9A9/frame_00263.jpg", + "8G9A9/frame_00272.jpg", + "8G9A9/frame_00281.jpg", + "8G9A9/frame_00290.jpg", + "8G9A9/frame_00299.jpg", + "8G9A9/frame_00308.jpg", + "8G9A9/frame_00317.jpg", + "8G9A9/frame_00326.jpg", + "8G9A9/frame_00335.jpg", + "8G9A9/frame_00344.jpg", + "8G9A9/frame_00353.jpg", + "8G9A9/frame_00362.jpg", + "8G9A9/frame_00371.jpg", + "8G9A9/frame_00380.jpg", + "8G9A9/frame_00389.jpg", + "8G9A9/frame_00398.jpg", + "8G9A9/frame_00407.jpg", + "8G9A9/frame_00416.jpg", + "8G9A9/frame_00425.jpg", + "8G9A9/frame_00434.jpg" + ], + "prompt": "What event preceded the person holding the phone/camera?" + }, + "output": { + "text": "The person took the laptop." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0042", + "input": { + "video_file_list": [ + "8XXNK/frame_00000.jpg", + "8XXNK/frame_00005.jpg", + "8XXNK/frame_00010.jpg", + "8XXNK/frame_00015.jpg", + "8XXNK/frame_00020.jpg", + "8XXNK/frame_00025.jpg", + "8XXNK/frame_00030.jpg", + "8XXNK/frame_00035.jpg", + "8XXNK/frame_00040.jpg", + "8XXNK/frame_00045.jpg", + "8XXNK/frame_00050.jpg", + "8XXNK/frame_00055.jpg", + "8XXNK/frame_00060.jpg", + "8XXNK/frame_00065.jpg", + "8XXNK/frame_00070.jpg", + "8XXNK/frame_00075.jpg", + "8XXNK/frame_00080.jpg", + "8XXNK/frame_00085.jpg", + "8XXNK/frame_00090.jpg", + "8XXNK/frame_00095.jpg", + "8XXNK/frame_00100.jpg", + "8XXNK/frame_00105.jpg", + "8XXNK/frame_00110.jpg", + "8XXNK/frame_00115.jpg", + "8XXNK/frame_00120.jpg", + "8XXNK/frame_00125.jpg", + "8XXNK/frame_00130.jpg", + "8XXNK/frame_00135.jpg", + "8XXNK/frame_00140.jpg", + "8XXNK/frame_00145.jpg" + ], + "prompt": "What occurred subsequent to the individual seated on the sofa/couch?" + }, + "output": { + "text": "The box was opened." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0008", + "input": { + "video_file_list": [ + "ZS9XR/frame_00582.jpg", + "ZS9XR/frame_00607.jpg", + "ZS9XR/frame_00632.jpg", + "ZS9XR/frame_00657.jpg", + "ZS9XR/frame_00682.jpg", + "ZS9XR/frame_00707.jpg", + "ZS9XR/frame_00732.jpg", + "ZS9XR/frame_00757.jpg", + "ZS9XR/frame_00782.jpg", + "ZS9XR/frame_00807.jpg", + "ZS9XR/frame_00832.jpg", + "ZS9XR/frame_00857.jpg", + "ZS9XR/frame_00882.jpg", + "ZS9XR/frame_00907.jpg", + "ZS9XR/frame_00932.jpg", + "ZS9XR/frame_00957.jpg", + "ZS9XR/frame_00982.jpg", + "ZS9XR/frame_01007.jpg", + "ZS9XR/frame_01032.jpg", + "ZS9XR/frame_01057.jpg" + ], + "prompt": "What was done before the person washed the table?" + }, + "output": { + "text": "The person put down the paper/notebook before washing the table." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0019", + "input": { + "video_file_list": [ + "PQYWB/frame_00000.jpg", + "PQYWB/frame_00009.jpg", + "PQYWB/frame_00018.jpg", + "PQYWB/frame_00027.jpg", + "PQYWB/frame_00036.jpg", + "PQYWB/frame_00045.jpg", + "PQYWB/frame_00054.jpg", + "PQYWB/frame_00063.jpg", + "PQYWB/frame_00072.jpg", + "PQYWB/frame_00081.jpg", + "PQYWB/frame_00090.jpg", + "PQYWB/frame_00099.jpg", + "PQYWB/frame_00108.jpg", + "PQYWB/frame_00117.jpg", + "PQYWB/frame_00126.jpg", + "PQYWB/frame_00135.jpg", + "PQYWB/frame_00144.jpg", + "PQYWB/frame_00153.jpg", + "PQYWB/frame_00162.jpg", + "PQYWB/frame_00171.jpg", + "PQYWB/frame_00180.jpg", + "PQYWB/frame_00189.jpg", + "PQYWB/frame_00198.jpg", + "PQYWB/frame_00207.jpg", + "PQYWB/frame_00216.jpg", + "PQYWB/frame_00225.jpg", + "PQYWB/frame_00234.jpg", + "PQYWB/frame_00243.jpg", + "PQYWB/frame_00252.jpg", + "PQYWB/frame_00261.jpg", + "PQYWB/frame_00270.jpg", + "PQYWB/frame_00279.jpg", + "PQYWB/frame_00288.jpg", + "PQYWB/frame_00297.jpg", + "PQYWB/frame_00306.jpg", + "PQYWB/frame_00315.jpg" + ], + "prompt": "What happened after the person held the phone/camera?" + }, + "output": { + "text": "The person put down the towel." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0099", + "input": { + "video_file_list": [ + "84893/frame_00021.jpg", + "84893/frame_00031.jpg", + "84893/frame_00041.jpg", + "84893/frame_00051.jpg", + "84893/frame_00061.jpg", + "84893/frame_00071.jpg", + "84893/frame_00081.jpg", + "84893/frame_00091.jpg", + "84893/frame_00101.jpg", + "84893/frame_00111.jpg", + "84893/frame_00121.jpg", + "84893/frame_00131.jpg", + "84893/frame_00141.jpg", + "84893/frame_00151.jpg", + "84893/frame_00161.jpg", + "84893/frame_00171.jpg", + "84893/frame_00181.jpg", + "84893/frame_00191.jpg", + "84893/frame_00201.jpg", + "84893/frame_00211.jpg", + "84893/frame_00221.jpg", + "84893/frame_00231.jpg", + "84893/frame_00241.jpg", + "84893/frame_00251.jpg", + "84893/frame_00261.jpg", + "84893/frame_00271.jpg", + "84893/frame_00281.jpg", + "84893/frame_00291.jpg", + "84893/frame_00301.jpg", + "84893/frame_00311.jpg", + "84893/frame_00321.jpg", + "84893/frame_00331.jpg", + "84893/frame_00341.jpg", + "84893/frame_00351.jpg", + "84893/frame_00361.jpg", + "84893/frame_00371.jpg", + "84893/frame_00381.jpg", + "84893/frame_00391.jpg", + "84893/frame_00401.jpg", + "84893/frame_00411.jpg", + "84893/frame_00421.jpg", + "84893/frame_00431.jpg", + "84893/frame_00441.jpg", + "84893/frame_00451.jpg" + ], + "prompt": "What happened after the person finished putting down the clothes?" + }, + "output": { + "text": "Tidied up the blanket." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0108", + "input": { + "video_file_list": [ + "AK9IB/frame_00251.jpg", + "AK9IB/frame_00254.jpg", + "AK9IB/frame_00257.jpg", + "AK9IB/frame_00260.jpg", + "AK9IB/frame_00263.jpg", + "AK9IB/frame_00266.jpg", + "AK9IB/frame_00269.jpg", + "AK9IB/frame_00272.jpg", + "AK9IB/frame_00275.jpg", + "AK9IB/frame_00278.jpg", + "AK9IB/frame_00281.jpg", + "AK9IB/frame_00284.jpg", + "AK9IB/frame_00287.jpg", + "AK9IB/frame_00290.jpg", + "AK9IB/frame_00293.jpg", + "AK9IB/frame_00296.jpg", + "AK9IB/frame_00299.jpg", + "AK9IB/frame_00302.jpg", + "AK9IB/frame_00305.jpg", + "AK9IB/frame_00308.jpg", + "AK9IB/frame_00311.jpg", + "AK9IB/frame_00314.jpg", + "AK9IB/frame_00317.jpg", + "AK9IB/frame_00320.jpg", + "AK9IB/frame_00323.jpg", + "AK9IB/frame_00326.jpg", + "AK9IB/frame_00329.jpg", + "AK9IB/frame_00332.jpg", + "AK9IB/frame_00335.jpg", + "AK9IB/frame_00338.jpg", + "AK9IB/frame_00341.jpg", + "AK9IB/frame_00344.jpg", + "AK9IB/frame_00347.jpg", + "AK9IB/frame_00350.jpg" + ], + "prompt": "What happened after the person placed the shoe down?" + }, + "output": { + "text": "Closed the box." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0063", + "input": { + "video_file_list": [ + "0HGNK/frame_00000.jpg", + "0HGNK/frame_00008.jpg", + "0HGNK/frame_00016.jpg", + "0HGNK/frame_00024.jpg", + "0HGNK/frame_00032.jpg", + "0HGNK/frame_00040.jpg", + "0HGNK/frame_00048.jpg", + "0HGNK/frame_00056.jpg", + "0HGNK/frame_00064.jpg", + "0HGNK/frame_00072.jpg", + "0HGNK/frame_00080.jpg", + "0HGNK/frame_00088.jpg", + "0HGNK/frame_00096.jpg", + "0HGNK/frame_00104.jpg", + "0HGNK/frame_00112.jpg", + "0HGNK/frame_00120.jpg", + "0HGNK/frame_00128.jpg", + "0HGNK/frame_00136.jpg", + "0HGNK/frame_00144.jpg", + "0HGNK/frame_00152.jpg", + "0HGNK/frame_00160.jpg", + "0HGNK/frame_00168.jpg", + "0HGNK/frame_00176.jpg", + "0HGNK/frame_00184.jpg", + "0HGNK/frame_00192.jpg", + "0HGNK/frame_00200.jpg", + "0HGNK/frame_00208.jpg", + "0HGNK/frame_00216.jpg", + "0HGNK/frame_00224.jpg", + "0HGNK/frame_00232.jpg", + "0HGNK/frame_00240.jpg", + "0HGNK/frame_00248.jpg", + "0HGNK/frame_00256.jpg", + "0HGNK/frame_00264.jpg", + "0HGNK/frame_00272.jpg", + "0HGNK/frame_00280.jpg", + "0HGNK/frame_00288.jpg", + "0HGNK/frame_00296.jpg", + "0HGNK/frame_00304.jpg", + "0HGNK/frame_00312.jpg" + ], + "prompt": "What happened after the person sat at the table?" + }, + "output": { + "text": "The person put down the box after sitting at the table." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0068", + "input": { + "video_file_list": [ + "FQS7O/frame_00000.jpg", + "FQS7O/frame_00005.jpg", + "FQS7O/frame_00010.jpg", + "FQS7O/frame_00015.jpg", + "FQS7O/frame_00020.jpg", + "FQS7O/frame_00025.jpg", + "FQS7O/frame_00030.jpg", + "FQS7O/frame_00035.jpg", + "FQS7O/frame_00040.jpg", + "FQS7O/frame_00045.jpg", + "FQS7O/frame_00050.jpg", + "FQS7O/frame_00055.jpg", + "FQS7O/frame_00060.jpg", + "FQS7O/frame_00065.jpg", + "FQS7O/frame_00070.jpg", + "FQS7O/frame_00075.jpg", + "FQS7O/frame_00080.jpg", + "FQS7O/frame_00085.jpg", + "FQS7O/frame_00090.jpg", + "FQS7O/frame_00095.jpg", + "FQS7O/frame_00100.jpg", + "FQS7O/frame_00105.jpg", + "FQS7O/frame_00110.jpg", + "FQS7O/frame_00115.jpg", + "FQS7O/frame_00120.jpg", + "FQS7O/frame_00125.jpg", + "FQS7O/frame_00130.jpg", + "FQS7O/frame_00135.jpg", + "FQS7O/frame_00140.jpg", + "FQS7O/frame_00145.jpg", + "FQS7O/frame_00150.jpg", + "FQS7O/frame_00155.jpg", + "FQS7O/frame_00160.jpg", + "FQS7O/frame_00165.jpg", + "FQS7O/frame_00170.jpg", + "FQS7O/frame_00175.jpg", + "FQS7O/frame_00180.jpg", + "FQS7O/frame_00185.jpg", + "FQS7O/frame_00190.jpg" + ], + "prompt": "What happened after the person sat at the table?" + }, + "output": { + "text": "The person closed the book." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0080", + "input": { + "video_file_list": [ + "KLP7V/frame_00236.jpg", + "KLP7V/frame_00265.jpg", + "KLP7V/frame_00294.jpg", + "KLP7V/frame_00323.jpg", + "KLP7V/frame_00352.jpg", + "KLP7V/frame_00381.jpg", + "KLP7V/frame_00410.jpg", + "KLP7V/frame_00439.jpg", + "KLP7V/frame_00468.jpg", + "KLP7V/frame_00497.jpg", + "KLP7V/frame_00526.jpg", + "KLP7V/frame_00555.jpg", + "KLP7V/frame_00584.jpg", + "KLP7V/frame_00613.jpg", + "KLP7V/frame_00642.jpg", + "KLP7V/frame_00671.jpg", + "KLP7V/frame_00700.jpg" + ], + "prompt": "What was done before the person drank from the cup/glass/bottle?" + }, + "output": { + "text": "Put down the box." + } + }, + { + "id": "vc_closeset_videoactionsequenceunderstanding_0033", + "input": { + "video_file_list": [ + "OY3LS/frame_00314.jpg", + "OY3LS/frame_00317.jpg", + "OY3LS/frame_00320.jpg", + "OY3LS/frame_00323.jpg", + "OY3LS/frame_00326.jpg", + "OY3LS/frame_00329.jpg", + "OY3LS/frame_00332.jpg", + "OY3LS/frame_00335.jpg", + "OY3LS/frame_00338.jpg", + "OY3LS/frame_00341.jpg", + "OY3LS/frame_00344.jpg", + "OY3LS/frame_00347.jpg", + "OY3LS/frame_00350.jpg", + "OY3LS/frame_00353.jpg", + "OY3LS/frame_00356.jpg", + "OY3LS/frame_00359.jpg", + "OY3LS/frame_00362.jpg", + "OY3LS/frame_00365.jpg", + "OY3LS/frame_00368.jpg", + "OY3LS/frame_00371.jpg", + "OY3LS/frame_00374.jpg", + "OY3LS/frame_00377.jpg", + "OY3LS/frame_00380.jpg", + "OY3LS/frame_00383.jpg", + "OY3LS/frame_00386.jpg", + "OY3LS/frame_00389.jpg", + "OY3LS/frame_00392.jpg", + "OY3LS/frame_00395.jpg", + "OY3LS/frame_00398.jpg", + "OY3LS/frame_00401.jpg", + "OY3LS/frame_00404.jpg", + "OY3LS/frame_00407.jpg", + "OY3LS/frame_00410.jpg", + "OY3LS/frame_00413.jpg", + "OY3LS/frame_00416.jpg", + "OY3LS/frame_00419.jpg", + "OY3LS/frame_00422.jpg", + "OY3LS/frame_00425.jpg", + "OY3LS/frame_00428.jpg", + "OY3LS/frame_00431.jpg", + "OY3LS/frame_00434.jpg", + "OY3LS/frame_00437.jpg", + "OY3LS/frame_00440.jpg", + "OY3LS/frame_00443.jpg", + "OY3LS/frame_00446.jpg", + "OY3LS/frame_00449.jpg", + "OY3LS/frame_00452.jpg" + ], + "prompt": "What was done prior to the individual sitting on the sofa/couch?" + }, + "output": { + "text": "The phone/camera was placed down." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoAnimalRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoAnimalRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6a12fab752cf7f0233808e9c5267e56984990eb4 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoAnimalRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "VideoAnimalRecognition", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videoanimalrecognition_0007", + "input": { + "video_file_list": [ + "BVJGvKaFG7U/0.jpg", + "BVJGvKaFG7U/1.jpg", + "BVJGvKaFG7U/2.jpg", + "BVJGvKaFG7U/3.jpg", + "BVJGvKaFG7U/4.jpg", + "BVJGvKaFG7U/5.jpg", + "BVJGvKaFG7U/6.jpg", + "BVJGvKaFG7U/7.jpg", + "BVJGvKaFG7U/8.jpg", + "BVJGvKaFG7U/9.jpg", + "BVJGvKaFG7U/10.jpg", + "BVJGvKaFG7U/11.jpg", + "BVJGvKaFG7U/12.jpg", + "BVJGvKaFG7U/13.jpg", + "BVJGvKaFG7U/14.jpg", + "BVJGvKaFG7U/15.jpg", + "BVJGvKaFG7U/16.jpg", + "BVJGvKaFG7U/17.jpg", + "BVJGvKaFG7U/18.jpg", + "BVJGvKaFG7U/19.jpg", + "BVJGvKaFG7U/20.jpg", + "BVJGvKaFG7U/21.jpg", + "BVJGvKaFG7U/22.jpg", + "BVJGvKaFG7U/23.jpg", + "BVJGvKaFG7U/24.jpg", + "BVJGvKaFG7U/25.jpg", + "BVJGvKaFG7U/26.jpg", + "BVJGvKaFG7U/27.jpg", + "BVJGvKaFG7U/28.jpg", + "BVJGvKaFG7U/29.jpg", + "BVJGvKaFG7U/30.jpg", + "BVJGvKaFG7U/31.jpg", + "BVJGvKaFG7U/32.jpg", + "BVJGvKaFG7U/33.jpg", + "BVJGvKaFG7U/34.jpg", + "BVJGvKaFG7U/35.jpg", + "BVJGvKaFG7U/36.jpg", + "BVJGvKaFG7U/37.jpg", + "BVJGvKaFG7U/38.jpg", + "BVJGvKaFG7U/39.jpg", + "BVJGvKaFG7U/40.jpg", + "BVJGvKaFG7U/41.jpg", + "BVJGvKaFG7U/42.jpg", + "BVJGvKaFG7U/43.jpg", + "BVJGvKaFG7U/44.jpg", + "BVJGvKaFG7U/45.jpg", + "BVJGvKaFG7U/46.jpg", + "BVJGvKaFG7U/47.jpg", + "BVJGvKaFG7U/48.jpg", + "BVJGvKaFG7U/49.jpg", + "BVJGvKaFG7U/50.jpg", + "BVJGvKaFG7U/51.jpg", + "BVJGvKaFG7U/52.jpg", + "BVJGvKaFG7U/53.jpg", + "BVJGvKaFG7U/54.jpg", + "BVJGvKaFG7U/55.jpg", + "BVJGvKaFG7U/56.jpg", + "BVJGvKaFG7U/57.jpg", + "BVJGvKaFG7U/58.jpg", + "BVJGvKaFG7U/59.jpg", + "BVJGvKaFG7U/60.jpg", + "BVJGvKaFG7U/61.jpg", + "BVJGvKaFG7U/62.jpg", + "BVJGvKaFG7U/63.jpg" + ], + "prompt": "How many babies does the lion mother have in the video?\nA. 3.\nB. 4.\nC. 5.\nD. 6." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0047", + "input": { + "video_file_list": [ + "IjSISLZCKPs/0.jpg", + "IjSISLZCKPs/1.jpg", + "IjSISLZCKPs/2.jpg", + "IjSISLZCKPs/3.jpg", + "IjSISLZCKPs/4.jpg", + "IjSISLZCKPs/5.jpg", + "IjSISLZCKPs/6.jpg", + "IjSISLZCKPs/7.jpg", + "IjSISLZCKPs/8.jpg", + "IjSISLZCKPs/9.jpg", + "IjSISLZCKPs/10.jpg", + "IjSISLZCKPs/11.jpg", + "IjSISLZCKPs/12.jpg", + "IjSISLZCKPs/13.jpg", + "IjSISLZCKPs/14.jpg", + "IjSISLZCKPs/15.jpg", + "IjSISLZCKPs/16.jpg", + "IjSISLZCKPs/17.jpg", + "IjSISLZCKPs/18.jpg", + "IjSISLZCKPs/19.jpg", + "IjSISLZCKPs/20.jpg", + "IjSISLZCKPs/21.jpg", + "IjSISLZCKPs/22.jpg", + "IjSISLZCKPs/23.jpg", + "IjSISLZCKPs/24.jpg", + "IjSISLZCKPs/25.jpg", + "IjSISLZCKPs/26.jpg", + "IjSISLZCKPs/27.jpg", + "IjSISLZCKPs/28.jpg", + "IjSISLZCKPs/29.jpg", + "IjSISLZCKPs/30.jpg", + "IjSISLZCKPs/31.jpg", + "IjSISLZCKPs/32.jpg", + "IjSISLZCKPs/33.jpg", + "IjSISLZCKPs/34.jpg", + "IjSISLZCKPs/35.jpg", + "IjSISLZCKPs/36.jpg", + "IjSISLZCKPs/37.jpg", + "IjSISLZCKPs/38.jpg", + "IjSISLZCKPs/39.jpg", + "IjSISLZCKPs/40.jpg", + "IjSISLZCKPs/41.jpg", + "IjSISLZCKPs/42.jpg", + "IjSISLZCKPs/43.jpg", + "IjSISLZCKPs/44.jpg", + "IjSISLZCKPs/45.jpg", + "IjSISLZCKPs/46.jpg", + "IjSISLZCKPs/47.jpg", + "IjSISLZCKPs/48.jpg", + "IjSISLZCKPs/49.jpg", + "IjSISLZCKPs/50.jpg", + "IjSISLZCKPs/51.jpg", + "IjSISLZCKPs/52.jpg", + "IjSISLZCKPs/53.jpg", + "IjSISLZCKPs/54.jpg", + "IjSISLZCKPs/55.jpg", + "IjSISLZCKPs/56.jpg", + "IjSISLZCKPs/57.jpg", + "IjSISLZCKPs/58.jpg", + "IjSISLZCKPs/59.jpg", + "IjSISLZCKPs/60.jpg", + "IjSISLZCKPs/61.jpg", + "IjSISLZCKPs/62.jpg", + "IjSISLZCKPs/63.jpg" + ], + "prompt": "How many dogs are there when a black-white dog emerges from a black and white pillow?\nA. 4.\nB. 1.\nC. 3.\nD. 2." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0037", + "input": { + "video_file_list": [ + "LFGE_8SoYVA/0.jpg", + "LFGE_8SoYVA/1.jpg", + "LFGE_8SoYVA/2.jpg", + "LFGE_8SoYVA/3.jpg", + "LFGE_8SoYVA/4.jpg", + "LFGE_8SoYVA/5.jpg", + "LFGE_8SoYVA/6.jpg", + "LFGE_8SoYVA/7.jpg", + "LFGE_8SoYVA/8.jpg", + "LFGE_8SoYVA/9.jpg", + "LFGE_8SoYVA/10.jpg", + "LFGE_8SoYVA/11.jpg", + "LFGE_8SoYVA/12.jpg", + "LFGE_8SoYVA/13.jpg", + "LFGE_8SoYVA/14.jpg", + "LFGE_8SoYVA/15.jpg", + "LFGE_8SoYVA/16.jpg", + "LFGE_8SoYVA/17.jpg", + "LFGE_8SoYVA/18.jpg", + "LFGE_8SoYVA/19.jpg", + "LFGE_8SoYVA/20.jpg", + "LFGE_8SoYVA/21.jpg", + "LFGE_8SoYVA/22.jpg", + "LFGE_8SoYVA/23.jpg", + "LFGE_8SoYVA/24.jpg", + "LFGE_8SoYVA/25.jpg", + "LFGE_8SoYVA/26.jpg", + "LFGE_8SoYVA/27.jpg", + "LFGE_8SoYVA/28.jpg", + "LFGE_8SoYVA/29.jpg", + "LFGE_8SoYVA/30.jpg", + "LFGE_8SoYVA/31.jpg", + "LFGE_8SoYVA/32.jpg", + "LFGE_8SoYVA/33.jpg", + "LFGE_8SoYVA/34.jpg", + "LFGE_8SoYVA/35.jpg", + "LFGE_8SoYVA/36.jpg", + "LFGE_8SoYVA/37.jpg", + "LFGE_8SoYVA/38.jpg", + "LFGE_8SoYVA/39.jpg", + "LFGE_8SoYVA/40.jpg", + "LFGE_8SoYVA/41.jpg", + "LFGE_8SoYVA/42.jpg", + "LFGE_8SoYVA/43.jpg", + "LFGE_8SoYVA/44.jpg", + "LFGE_8SoYVA/45.jpg", + "LFGE_8SoYVA/46.jpg", + "LFGE_8SoYVA/47.jpg", + "LFGE_8SoYVA/48.jpg", + "LFGE_8SoYVA/49.jpg", + "LFGE_8SoYVA/50.jpg", + "LFGE_8SoYVA/51.jpg", + "LFGE_8SoYVA/52.jpg", + "LFGE_8SoYVA/53.jpg", + "LFGE_8SoYVA/54.jpg", + "LFGE_8SoYVA/55.jpg", + "LFGE_8SoYVA/56.jpg", + "LFGE_8SoYVA/57.jpg", + "LFGE_8SoYVA/58.jpg", + "LFGE_8SoYVA/59.jpg", + "LFGE_8SoYVA/60.jpg", + "LFGE_8SoYVA/61.jpg", + "LFGE_8SoYVA/62.jpg", + "LFGE_8SoYVA/63.jpg" + ], + "prompt": "What does the white parrot do in this video?\nA. Drinking water.\nB. Shouting to a mug.\nC. Finding food.\nD. Quarreling with others." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0013", + "input": { + "video_file_list": [ + "fQVhppRP4Wo/0.jpg", + "fQVhppRP4Wo/1.jpg", + "fQVhppRP4Wo/2.jpg", + "fQVhppRP4Wo/3.jpg", + "fQVhppRP4Wo/4.jpg", + "fQVhppRP4Wo/5.jpg", + "fQVhppRP4Wo/6.jpg", + "fQVhppRP4Wo/7.jpg", + "fQVhppRP4Wo/8.jpg", + "fQVhppRP4Wo/9.jpg", + "fQVhppRP4Wo/10.jpg", + "fQVhppRP4Wo/11.jpg", + "fQVhppRP4Wo/12.jpg", + "fQVhppRP4Wo/13.jpg", + "fQVhppRP4Wo/14.jpg", + "fQVhppRP4Wo/15.jpg", + "fQVhppRP4Wo/16.jpg", + "fQVhppRP4Wo/17.jpg", + "fQVhppRP4Wo/18.jpg", + "fQVhppRP4Wo/19.jpg", + "fQVhppRP4Wo/20.jpg", + "fQVhppRP4Wo/21.jpg", + "fQVhppRP4Wo/22.jpg", + "fQVhppRP4Wo/23.jpg", + "fQVhppRP4Wo/24.jpg", + "fQVhppRP4Wo/25.jpg", + "fQVhppRP4Wo/26.jpg", + "fQVhppRP4Wo/27.jpg", + "fQVhppRP4Wo/28.jpg", + "fQVhppRP4Wo/29.jpg", + "fQVhppRP4Wo/30.jpg", + "fQVhppRP4Wo/31.jpg", + "fQVhppRP4Wo/32.jpg", + "fQVhppRP4Wo/33.jpg", + "fQVhppRP4Wo/34.jpg", + "fQVhppRP4Wo/35.jpg", + "fQVhppRP4Wo/36.jpg", + "fQVhppRP4Wo/37.jpg", + "fQVhppRP4Wo/38.jpg", + "fQVhppRP4Wo/39.jpg", + "fQVhppRP4Wo/40.jpg", + "fQVhppRP4Wo/41.jpg", + "fQVhppRP4Wo/42.jpg", + "fQVhppRP4Wo/43.jpg", + "fQVhppRP4Wo/44.jpg", + "fQVhppRP4Wo/45.jpg", + "fQVhppRP4Wo/46.jpg", + "fQVhppRP4Wo/47.jpg", + "fQVhppRP4Wo/48.jpg", + "fQVhppRP4Wo/49.jpg", + "fQVhppRP4Wo/50.jpg", + "fQVhppRP4Wo/51.jpg", + "fQVhppRP4Wo/52.jpg", + "fQVhppRP4Wo/53.jpg", + "fQVhppRP4Wo/54.jpg", + "fQVhppRP4Wo/55.jpg", + "fQVhppRP4Wo/56.jpg", + "fQVhppRP4Wo/57.jpg", + "fQVhppRP4Wo/58.jpg", + "fQVhppRP4Wo/59.jpg", + "fQVhppRP4Wo/60.jpg", + "fQVhppRP4Wo/61.jpg", + "fQVhppRP4Wo/62.jpg", + "fQVhppRP4Wo/63.jpg" + ], + "prompt": "What color are the foxes in the video?\nA. Blue.\nB. Pink.\nC. Black.\nD. Yellow." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0050", + "input": { + "video_file_list": [ + "BVJGvKaFG7U/0.jpg", + "BVJGvKaFG7U/1.jpg", + "BVJGvKaFG7U/2.jpg", + "BVJGvKaFG7U/3.jpg", + "BVJGvKaFG7U/4.jpg", + "BVJGvKaFG7U/5.jpg", + "BVJGvKaFG7U/6.jpg", + "BVJGvKaFG7U/7.jpg", + "BVJGvKaFG7U/8.jpg", + "BVJGvKaFG7U/9.jpg", + "BVJGvKaFG7U/10.jpg", + "BVJGvKaFG7U/11.jpg", + "BVJGvKaFG7U/12.jpg", + "BVJGvKaFG7U/13.jpg", + "BVJGvKaFG7U/14.jpg", + "BVJGvKaFG7U/15.jpg", + "BVJGvKaFG7U/16.jpg", + "BVJGvKaFG7U/17.jpg", + "BVJGvKaFG7U/18.jpg", + "BVJGvKaFG7U/19.jpg", + "BVJGvKaFG7U/20.jpg", + "BVJGvKaFG7U/21.jpg", + "BVJGvKaFG7U/22.jpg", + "BVJGvKaFG7U/23.jpg", + "BVJGvKaFG7U/24.jpg", + "BVJGvKaFG7U/25.jpg", + "BVJGvKaFG7U/26.jpg", + "BVJGvKaFG7U/27.jpg", + "BVJGvKaFG7U/28.jpg", + "BVJGvKaFG7U/29.jpg", + "BVJGvKaFG7U/30.jpg", + "BVJGvKaFG7U/31.jpg", + "BVJGvKaFG7U/32.jpg", + "BVJGvKaFG7U/33.jpg", + "BVJGvKaFG7U/34.jpg", + "BVJGvKaFG7U/35.jpg", + "BVJGvKaFG7U/36.jpg", + "BVJGvKaFG7U/37.jpg", + "BVJGvKaFG7U/38.jpg", + "BVJGvKaFG7U/39.jpg", + "BVJGvKaFG7U/40.jpg", + "BVJGvKaFG7U/41.jpg", + "BVJGvKaFG7U/42.jpg", + "BVJGvKaFG7U/43.jpg", + "BVJGvKaFG7U/44.jpg", + "BVJGvKaFG7U/45.jpg", + "BVJGvKaFG7U/46.jpg", + "BVJGvKaFG7U/47.jpg", + "BVJGvKaFG7U/48.jpg", + "BVJGvKaFG7U/49.jpg", + "BVJGvKaFG7U/50.jpg", + "BVJGvKaFG7U/51.jpg", + "BVJGvKaFG7U/52.jpg", + "BVJGvKaFG7U/53.jpg", + "BVJGvKaFG7U/54.jpg", + "BVJGvKaFG7U/55.jpg", + "BVJGvKaFG7U/56.jpg", + "BVJGvKaFG7U/57.jpg", + "BVJGvKaFG7U/58.jpg", + "BVJGvKaFG7U/59.jpg", + "BVJGvKaFG7U/60.jpg", + "BVJGvKaFG7U/61.jpg", + "BVJGvKaFG7U/62.jpg", + "BVJGvKaFG7U/63.jpg" + ], + "prompt": "What happens when a baby elephant chases a group of ducks?\nA. The baby elephant falls to the ground.\nB. The ducks fly away.\nC. The baby elephant jumps in water.\nD. The baby elephant crashes into a tree." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0006", + "input": { + "video_file_list": [ + "h1cv8Fsn4eU/0.jpg", + "h1cv8Fsn4eU/1.jpg", + "h1cv8Fsn4eU/2.jpg", + "h1cv8Fsn4eU/3.jpg", + "h1cv8Fsn4eU/4.jpg", + "h1cv8Fsn4eU/5.jpg", + "h1cv8Fsn4eU/6.jpg", + "h1cv8Fsn4eU/7.jpg", + "h1cv8Fsn4eU/8.jpg", + "h1cv8Fsn4eU/9.jpg", + "h1cv8Fsn4eU/10.jpg", + "h1cv8Fsn4eU/11.jpg", + "h1cv8Fsn4eU/12.jpg", + "h1cv8Fsn4eU/13.jpg", + "h1cv8Fsn4eU/14.jpg", + "h1cv8Fsn4eU/15.jpg", + "h1cv8Fsn4eU/16.jpg", + "h1cv8Fsn4eU/17.jpg", + "h1cv8Fsn4eU/18.jpg", + "h1cv8Fsn4eU/19.jpg", + "h1cv8Fsn4eU/20.jpg", + "h1cv8Fsn4eU/21.jpg", + "h1cv8Fsn4eU/22.jpg", + "h1cv8Fsn4eU/23.jpg", + "h1cv8Fsn4eU/24.jpg", + "h1cv8Fsn4eU/25.jpg", + "h1cv8Fsn4eU/26.jpg", + "h1cv8Fsn4eU/27.jpg", + "h1cv8Fsn4eU/28.jpg", + "h1cv8Fsn4eU/29.jpg", + "h1cv8Fsn4eU/30.jpg", + "h1cv8Fsn4eU/31.jpg", + "h1cv8Fsn4eU/32.jpg", + "h1cv8Fsn4eU/33.jpg", + "h1cv8Fsn4eU/34.jpg", + "h1cv8Fsn4eU/35.jpg", + "h1cv8Fsn4eU/36.jpg", + "h1cv8Fsn4eU/37.jpg", + "h1cv8Fsn4eU/38.jpg", + "h1cv8Fsn4eU/39.jpg", + "h1cv8Fsn4eU/40.jpg", + "h1cv8Fsn4eU/41.jpg", + "h1cv8Fsn4eU/42.jpg", + "h1cv8Fsn4eU/43.jpg", + "h1cv8Fsn4eU/44.jpg", + "h1cv8Fsn4eU/45.jpg", + "h1cv8Fsn4eU/46.jpg", + "h1cv8Fsn4eU/47.jpg", + "h1cv8Fsn4eU/48.jpg", + "h1cv8Fsn4eU/49.jpg", + "h1cv8Fsn4eU/50.jpg", + "h1cv8Fsn4eU/51.jpg", + "h1cv8Fsn4eU/52.jpg", + "h1cv8Fsn4eU/53.jpg", + "h1cv8Fsn4eU/54.jpg", + "h1cv8Fsn4eU/55.jpg", + "h1cv8Fsn4eU/56.jpg", + "h1cv8Fsn4eU/57.jpg", + "h1cv8Fsn4eU/58.jpg", + "h1cv8Fsn4eU/59.jpg", + "h1cv8Fsn4eU/60.jpg", + "h1cv8Fsn4eU/61.jpg", + "h1cv8Fsn4eU/62.jpg", + "h1cv8Fsn4eU/63.jpg" + ], + "prompt": "According to what is shown in the video, why does the cameraman drive a car?\nA. Taking the cat to play.\nB. Purchasing food for the cat.\nC. Transporting the cat to the hospital.\nD. Searching for the lost cat." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0035", + "input": { + "video_file_list": [ + "hsKmC7RwHvo/0.jpg", + "hsKmC7RwHvo/1.jpg", + "hsKmC7RwHvo/2.jpg", + "hsKmC7RwHvo/3.jpg", + "hsKmC7RwHvo/4.jpg", + "hsKmC7RwHvo/5.jpg", + "hsKmC7RwHvo/6.jpg", + "hsKmC7RwHvo/7.jpg", + "hsKmC7RwHvo/8.jpg", + "hsKmC7RwHvo/9.jpg", + "hsKmC7RwHvo/10.jpg", + "hsKmC7RwHvo/11.jpg", + "hsKmC7RwHvo/12.jpg", + "hsKmC7RwHvo/13.jpg", + "hsKmC7RwHvo/14.jpg", + "hsKmC7RwHvo/15.jpg", + "hsKmC7RwHvo/16.jpg", + "hsKmC7RwHvo/17.jpg", + "hsKmC7RwHvo/18.jpg", + "hsKmC7RwHvo/19.jpg", + "hsKmC7RwHvo/20.jpg", + "hsKmC7RwHvo/21.jpg", + "hsKmC7RwHvo/22.jpg", + "hsKmC7RwHvo/23.jpg", + "hsKmC7RwHvo/24.jpg", + "hsKmC7RwHvo/25.jpg", + "hsKmC7RwHvo/26.jpg", + "hsKmC7RwHvo/27.jpg", + "hsKmC7RwHvo/28.jpg", + "hsKmC7RwHvo/29.jpg", + "hsKmC7RwHvo/30.jpg", + "hsKmC7RwHvo/31.jpg", + "hsKmC7RwHvo/32.jpg", + "hsKmC7RwHvo/33.jpg", + "hsKmC7RwHvo/34.jpg", + "hsKmC7RwHvo/35.jpg", + "hsKmC7RwHvo/36.jpg", + "hsKmC7RwHvo/37.jpg", + "hsKmC7RwHvo/38.jpg", + "hsKmC7RwHvo/39.jpg", + "hsKmC7RwHvo/40.jpg", + "hsKmC7RwHvo/41.jpg", + "hsKmC7RwHvo/42.jpg", + "hsKmC7RwHvo/43.jpg", + "hsKmC7RwHvo/44.jpg", + "hsKmC7RwHvo/45.jpg", + "hsKmC7RwHvo/46.jpg", + "hsKmC7RwHvo/47.jpg", + "hsKmC7RwHvo/48.jpg", + "hsKmC7RwHvo/49.jpg", + "hsKmC7RwHvo/50.jpg", + "hsKmC7RwHvo/51.jpg", + "hsKmC7RwHvo/52.jpg", + "hsKmC7RwHvo/53.jpg", + "hsKmC7RwHvo/54.jpg", + "hsKmC7RwHvo/55.jpg", + "hsKmC7RwHvo/56.jpg", + "hsKmC7RwHvo/57.jpg", + "hsKmC7RwHvo/58.jpg", + "hsKmC7RwHvo/59.jpg", + "hsKmC7RwHvo/60.jpg", + "hsKmC7RwHvo/61.jpg", + "hsKmC7RwHvo/62.jpg", + "hsKmC7RwHvo/63.jpg" + ], + "prompt": "What is the animal in this video?\nA. A cat.\nB. A dog.\nC. A raccoon.\nD. A panda." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0028", + "input": { + "video_file_list": [ + "whksDmTR9YE/0.jpg", + "whksDmTR9YE/1.jpg", + "whksDmTR9YE/2.jpg", + "whksDmTR9YE/3.jpg", + "whksDmTR9YE/4.jpg", + "whksDmTR9YE/5.jpg", + "whksDmTR9YE/6.jpg", + "whksDmTR9YE/7.jpg", + "whksDmTR9YE/8.jpg", + "whksDmTR9YE/9.jpg", + "whksDmTR9YE/10.jpg", + "whksDmTR9YE/11.jpg", + "whksDmTR9YE/12.jpg", + "whksDmTR9YE/13.jpg", + "whksDmTR9YE/14.jpg", + "whksDmTR9YE/15.jpg", + "whksDmTR9YE/16.jpg", + "whksDmTR9YE/17.jpg", + "whksDmTR9YE/18.jpg", + "whksDmTR9YE/19.jpg", + "whksDmTR9YE/20.jpg", + "whksDmTR9YE/21.jpg", + "whksDmTR9YE/22.jpg", + "whksDmTR9YE/23.jpg", + "whksDmTR9YE/24.jpg", + "whksDmTR9YE/25.jpg", + "whksDmTR9YE/26.jpg", + "whksDmTR9YE/27.jpg", + "whksDmTR9YE/28.jpg", + "whksDmTR9YE/29.jpg", + "whksDmTR9YE/30.jpg", + "whksDmTR9YE/31.jpg", + "whksDmTR9YE/32.jpg", + "whksDmTR9YE/33.jpg", + "whksDmTR9YE/34.jpg", + "whksDmTR9YE/35.jpg", + "whksDmTR9YE/36.jpg", + "whksDmTR9YE/37.jpg", + "whksDmTR9YE/38.jpg", + "whksDmTR9YE/39.jpg", + "whksDmTR9YE/40.jpg", + "whksDmTR9YE/41.jpg", + "whksDmTR9YE/42.jpg", + "whksDmTR9YE/43.jpg", + "whksDmTR9YE/44.jpg", + "whksDmTR9YE/45.jpg", + "whksDmTR9YE/46.jpg", + "whksDmTR9YE/47.jpg", + "whksDmTR9YE/48.jpg", + "whksDmTR9YE/49.jpg", + "whksDmTR9YE/50.jpg", + "whksDmTR9YE/51.jpg", + "whksDmTR9YE/52.jpg", + "whksDmTR9YE/53.jpg", + "whksDmTR9YE/54.jpg", + "whksDmTR9YE/55.jpg", + "whksDmTR9YE/56.jpg", + "whksDmTR9YE/57.jpg", + "whksDmTR9YE/58.jpg", + "whksDmTR9YE/59.jpg", + "whksDmTR9YE/60.jpg", + "whksDmTR9YE/61.jpg", + "whksDmTR9YE/62.jpg", + "whksDmTR9YE/63.jpg" + ], + "prompt": "According to the video, what does the cougar fight with?\nA. A tiger.\nB. A lion.\nC. A hippo.\nD. A grizzly." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0015", + "input": { + "video_file_list": [ + "Kn10Jf1x24Q/0.jpg", + "Kn10Jf1x24Q/1.jpg", + "Kn10Jf1x24Q/2.jpg", + "Kn10Jf1x24Q/3.jpg", + "Kn10Jf1x24Q/4.jpg", + "Kn10Jf1x24Q/5.jpg", + "Kn10Jf1x24Q/6.jpg", + "Kn10Jf1x24Q/7.jpg", + "Kn10Jf1x24Q/8.jpg", + "Kn10Jf1x24Q/9.jpg", + "Kn10Jf1x24Q/10.jpg", + "Kn10Jf1x24Q/11.jpg", + "Kn10Jf1x24Q/12.jpg", + "Kn10Jf1x24Q/13.jpg", + "Kn10Jf1x24Q/14.jpg", + "Kn10Jf1x24Q/15.jpg", + "Kn10Jf1x24Q/16.jpg", + "Kn10Jf1x24Q/17.jpg", + "Kn10Jf1x24Q/18.jpg", + "Kn10Jf1x24Q/19.jpg", + "Kn10Jf1x24Q/20.jpg", + "Kn10Jf1x24Q/21.jpg", + "Kn10Jf1x24Q/22.jpg", + "Kn10Jf1x24Q/23.jpg", + "Kn10Jf1x24Q/24.jpg", + "Kn10Jf1x24Q/25.jpg", + "Kn10Jf1x24Q/26.jpg", + "Kn10Jf1x24Q/27.jpg", + "Kn10Jf1x24Q/28.jpg", + "Kn10Jf1x24Q/29.jpg", + "Kn10Jf1x24Q/30.jpg", + "Kn10Jf1x24Q/31.jpg", + "Kn10Jf1x24Q/32.jpg", + "Kn10Jf1x24Q/33.jpg", + "Kn10Jf1x24Q/34.jpg", + "Kn10Jf1x24Q/35.jpg", + "Kn10Jf1x24Q/36.jpg", + "Kn10Jf1x24Q/37.jpg", + "Kn10Jf1x24Q/38.jpg", + "Kn10Jf1x24Q/39.jpg", + "Kn10Jf1x24Q/40.jpg", + "Kn10Jf1x24Q/41.jpg", + "Kn10Jf1x24Q/42.jpg", + "Kn10Jf1x24Q/43.jpg", + "Kn10Jf1x24Q/44.jpg", + "Kn10Jf1x24Q/45.jpg", + "Kn10Jf1x24Q/46.jpg", + "Kn10Jf1x24Q/47.jpg", + "Kn10Jf1x24Q/48.jpg", + "Kn10Jf1x24Q/49.jpg", + "Kn10Jf1x24Q/50.jpg", + "Kn10Jf1x24Q/51.jpg", + "Kn10Jf1x24Q/52.jpg", + "Kn10Jf1x24Q/53.jpg", + "Kn10Jf1x24Q/54.jpg", + "Kn10Jf1x24Q/55.jpg", + "Kn10Jf1x24Q/56.jpg", + "Kn10Jf1x24Q/57.jpg", + "Kn10Jf1x24Q/58.jpg", + "Kn10Jf1x24Q/59.jpg", + "Kn10Jf1x24Q/60.jpg", + "Kn10Jf1x24Q/61.jpg", + "Kn10Jf1x24Q/62.jpg", + "Kn10Jf1x24Q/63.jpg" + ], + "prompt": "What is the bunny's behavior after being placed on the ground?\nA. Finding its mate.\nB. Attacking the cameraman.\nC. Hiding under the car.\nD. Drilling into the hole." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videoanimalrecognition_0043", + "input": { + "video_file_list": [ + "vszWsYOdnPg/0.jpg", + "vszWsYOdnPg/1.jpg", + "vszWsYOdnPg/2.jpg", + "vszWsYOdnPg/3.jpg", + "vszWsYOdnPg/4.jpg", + "vszWsYOdnPg/5.jpg", + "vszWsYOdnPg/6.jpg", + "vszWsYOdnPg/7.jpg", + "vszWsYOdnPg/8.jpg", + "vszWsYOdnPg/9.jpg", + "vszWsYOdnPg/10.jpg", + "vszWsYOdnPg/11.jpg", + "vszWsYOdnPg/12.jpg", + "vszWsYOdnPg/13.jpg", + "vszWsYOdnPg/14.jpg", + "vszWsYOdnPg/15.jpg", + "vszWsYOdnPg/16.jpg", + "vszWsYOdnPg/17.jpg", + "vszWsYOdnPg/18.jpg", + "vszWsYOdnPg/19.jpg", + "vszWsYOdnPg/20.jpg", + "vszWsYOdnPg/21.jpg", + "vszWsYOdnPg/22.jpg", + "vszWsYOdnPg/23.jpg", + "vszWsYOdnPg/24.jpg", + "vszWsYOdnPg/25.jpg", + "vszWsYOdnPg/26.jpg", + "vszWsYOdnPg/27.jpg", + "vszWsYOdnPg/28.jpg", + "vszWsYOdnPg/29.jpg", + "vszWsYOdnPg/30.jpg", + "vszWsYOdnPg/31.jpg", + "vszWsYOdnPg/32.jpg", + "vszWsYOdnPg/33.jpg", + "vszWsYOdnPg/34.jpg", + "vszWsYOdnPg/35.jpg", + "vszWsYOdnPg/36.jpg", + "vszWsYOdnPg/37.jpg", + "vszWsYOdnPg/38.jpg", + "vszWsYOdnPg/39.jpg", + "vszWsYOdnPg/40.jpg", + "vszWsYOdnPg/41.jpg", + "vszWsYOdnPg/42.jpg", + "vszWsYOdnPg/43.jpg", + "vszWsYOdnPg/44.jpg", + "vszWsYOdnPg/45.jpg", + "vszWsYOdnPg/46.jpg", + "vszWsYOdnPg/47.jpg", + "vszWsYOdnPg/48.jpg", + "vszWsYOdnPg/49.jpg", + "vszWsYOdnPg/50.jpg", + "vszWsYOdnPg/51.jpg", + "vszWsYOdnPg/52.jpg", + "vszWsYOdnPg/53.jpg", + "vszWsYOdnPg/54.jpg", + "vszWsYOdnPg/55.jpg", + "vszWsYOdnPg/56.jpg", + "vszWsYOdnPg/57.jpg", + "vszWsYOdnPg/58.jpg", + "vszWsYOdnPg/59.jpg", + "vszWsYOdnPg/60.jpg", + "vszWsYOdnPg/61.jpg", + "vszWsYOdnPg/62.jpg", + "vszWsYOdnPg/63.jpg" + ], + "prompt": "What do these animals do in this video?\nA. Sniffing the cyclist.\nB. Eating some food.\nC. Climbing trees.\nD. Attacking people." + }, + "output": { + "text": "A" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoFoodRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoFoodRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d438a672d26de00bf6f6f3789b3aa258aba995a7 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoFoodRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "VideoFoodRecognition", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videofoodrecognition_0048", + "input": { + "video_file_list": [ + "iWT0kl1k32M/0.jpg", + "iWT0kl1k32M/1.jpg", + "iWT0kl1k32M/2.jpg", + "iWT0kl1k32M/3.jpg", + "iWT0kl1k32M/4.jpg", + "iWT0kl1k32M/5.jpg", + "iWT0kl1k32M/6.jpg", + "iWT0kl1k32M/7.jpg", + "iWT0kl1k32M/8.jpg", + "iWT0kl1k32M/9.jpg", + "iWT0kl1k32M/10.jpg", + "iWT0kl1k32M/11.jpg", + "iWT0kl1k32M/12.jpg", + "iWT0kl1k32M/13.jpg", + "iWT0kl1k32M/14.jpg", + "iWT0kl1k32M/15.jpg", + "iWT0kl1k32M/16.jpg", + "iWT0kl1k32M/17.jpg", + "iWT0kl1k32M/18.jpg", + "iWT0kl1k32M/19.jpg", + "iWT0kl1k32M/20.jpg", + "iWT0kl1k32M/21.jpg", + "iWT0kl1k32M/22.jpg", + "iWT0kl1k32M/23.jpg", + "iWT0kl1k32M/24.jpg", + "iWT0kl1k32M/25.jpg", + "iWT0kl1k32M/26.jpg", + "iWT0kl1k32M/27.jpg", + "iWT0kl1k32M/28.jpg", + "iWT0kl1k32M/29.jpg", + "iWT0kl1k32M/30.jpg", + "iWT0kl1k32M/31.jpg", + "iWT0kl1k32M/32.jpg", + "iWT0kl1k32M/33.jpg", + "iWT0kl1k32M/34.jpg", + "iWT0kl1k32M/35.jpg", + "iWT0kl1k32M/36.jpg", + "iWT0kl1k32M/37.jpg", + "iWT0kl1k32M/38.jpg", + "iWT0kl1k32M/39.jpg", + "iWT0kl1k32M/40.jpg", + "iWT0kl1k32M/41.jpg", + "iWT0kl1k32M/42.jpg", + "iWT0kl1k32M/43.jpg", + "iWT0kl1k32M/44.jpg", + "iWT0kl1k32M/45.jpg", + "iWT0kl1k32M/46.jpg", + "iWT0kl1k32M/47.jpg", + "iWT0kl1k32M/48.jpg", + "iWT0kl1k32M/49.jpg", + "iWT0kl1k32M/50.jpg", + "iWT0kl1k32M/51.jpg", + "iWT0kl1k32M/52.jpg", + "iWT0kl1k32M/53.jpg", + "iWT0kl1k32M/54.jpg", + "iWT0kl1k32M/55.jpg", + "iWT0kl1k32M/56.jpg", + "iWT0kl1k32M/57.jpg", + "iWT0kl1k32M/58.jpg", + "iWT0kl1k32M/59.jpg", + "iWT0kl1k32M/60.jpg", + "iWT0kl1k32M/61.jpg", + "iWT0kl1k32M/62.jpg", + "iWT0kl1k32M/63.jpg" + ], + "prompt": "Why do the Wisconsin cheese cubes receive an A rating?\nA. By majority vote.\nB. When deciding which of the S-rated foods is the best, drop it to an A rating.\nC. After tasting the smoked salmon spread, one person lowered the score of the grilled cheese cubes.\nD. They think smoked salmon spread is better." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videofoodrecognition_0015", + "input": { + "video_file_list": [ + "lw3_W5X1t54/0.jpg", + "lw3_W5X1t54/1.jpg", + "lw3_W5X1t54/2.jpg", + "lw3_W5X1t54/3.jpg", + "lw3_W5X1t54/4.jpg", + "lw3_W5X1t54/5.jpg", + "lw3_W5X1t54/6.jpg", + "lw3_W5X1t54/7.jpg", + "lw3_W5X1t54/8.jpg", + "lw3_W5X1t54/9.jpg", + "lw3_W5X1t54/10.jpg", + "lw3_W5X1t54/11.jpg", + "lw3_W5X1t54/12.jpg", + "lw3_W5X1t54/13.jpg", + "lw3_W5X1t54/14.jpg", + "lw3_W5X1t54/15.jpg", + "lw3_W5X1t54/16.jpg", + "lw3_W5X1t54/17.jpg", + "lw3_W5X1t54/18.jpg", + "lw3_W5X1t54/19.jpg", + "lw3_W5X1t54/20.jpg", + "lw3_W5X1t54/21.jpg", + "lw3_W5X1t54/22.jpg", + "lw3_W5X1t54/23.jpg", + "lw3_W5X1t54/24.jpg", + "lw3_W5X1t54/25.jpg", + "lw3_W5X1t54/26.jpg", + "lw3_W5X1t54/27.jpg", + "lw3_W5X1t54/28.jpg", + "lw3_W5X1t54/29.jpg", + "lw3_W5X1t54/30.jpg", + "lw3_W5X1t54/31.jpg", + "lw3_W5X1t54/32.jpg", + "lw3_W5X1t54/33.jpg", + "lw3_W5X1t54/34.jpg", + "lw3_W5X1t54/35.jpg", + "lw3_W5X1t54/36.jpg", + "lw3_W5X1t54/37.jpg", + "lw3_W5X1t54/38.jpg", + "lw3_W5X1t54/39.jpg", + "lw3_W5X1t54/40.jpg", + "lw3_W5X1t54/41.jpg", + "lw3_W5X1t54/42.jpg", + "lw3_W5X1t54/43.jpg", + "lw3_W5X1t54/44.jpg", + "lw3_W5X1t54/45.jpg", + "lw3_W5X1t54/46.jpg", + "lw3_W5X1t54/47.jpg", + "lw3_W5X1t54/48.jpg", + "lw3_W5X1t54/49.jpg", + "lw3_W5X1t54/50.jpg", + "lw3_W5X1t54/51.jpg", + "lw3_W5X1t54/52.jpg", + "lw3_W5X1t54/53.jpg", + "lw3_W5X1t54/54.jpg", + "lw3_W5X1t54/55.jpg", + "lw3_W5X1t54/56.jpg", + "lw3_W5X1t54/57.jpg", + "lw3_W5X1t54/58.jpg", + "lw3_W5X1t54/59.jpg", + "lw3_W5X1t54/60.jpg", + "lw3_W5X1t54/61.jpg", + "lw3_W5X1t54/62.jpg", + "lw3_W5X1t54/63.jpg" + ], + "prompt": "Which dish at Restaurant Kalamansi best embodies the rich history and essence of Filipino cuisine?\nA. Kinilaw.\nB. Pinakbet.\nC. Adobong Baboy.\nD. Kare Kare." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videofoodrecognition_0023", + "input": { + "video_file_list": [ + "y9Fne3oUwX4/0.jpg", + "y9Fne3oUwX4/1.jpg", + "y9Fne3oUwX4/2.jpg", + "y9Fne3oUwX4/3.jpg", + "y9Fne3oUwX4/4.jpg", + "y9Fne3oUwX4/5.jpg", + "y9Fne3oUwX4/6.jpg", + "y9Fne3oUwX4/7.jpg", + "y9Fne3oUwX4/8.jpg", + "y9Fne3oUwX4/9.jpg", + "y9Fne3oUwX4/10.jpg", + "y9Fne3oUwX4/11.jpg", + "y9Fne3oUwX4/12.jpg", + "y9Fne3oUwX4/13.jpg", + "y9Fne3oUwX4/14.jpg", + "y9Fne3oUwX4/15.jpg", + "y9Fne3oUwX4/16.jpg", + "y9Fne3oUwX4/17.jpg", + "y9Fne3oUwX4/18.jpg", + "y9Fne3oUwX4/19.jpg", + "y9Fne3oUwX4/20.jpg", + "y9Fne3oUwX4/21.jpg", + "y9Fne3oUwX4/22.jpg", + "y9Fne3oUwX4/23.jpg", + "y9Fne3oUwX4/24.jpg", + "y9Fne3oUwX4/25.jpg", + "y9Fne3oUwX4/26.jpg", + "y9Fne3oUwX4/27.jpg", + "y9Fne3oUwX4/28.jpg", + "y9Fne3oUwX4/29.jpg", + "y9Fne3oUwX4/30.jpg", + "y9Fne3oUwX4/31.jpg", + "y9Fne3oUwX4/32.jpg", + "y9Fne3oUwX4/33.jpg", + "y9Fne3oUwX4/34.jpg", + "y9Fne3oUwX4/35.jpg", + "y9Fne3oUwX4/36.jpg", + "y9Fne3oUwX4/37.jpg", + "y9Fne3oUwX4/38.jpg", + "y9Fne3oUwX4/39.jpg", + "y9Fne3oUwX4/40.jpg", + "y9Fne3oUwX4/41.jpg", + "y9Fne3oUwX4/42.jpg", + "y9Fne3oUwX4/43.jpg", + "y9Fne3oUwX4/44.jpg", + "y9Fne3oUwX4/45.jpg", + "y9Fne3oUwX4/46.jpg", + "y9Fne3oUwX4/47.jpg", + "y9Fne3oUwX4/48.jpg", + "y9Fne3oUwX4/49.jpg", + "y9Fne3oUwX4/50.jpg", + "y9Fne3oUwX4/51.jpg", + "y9Fne3oUwX4/52.jpg", + "y9Fne3oUwX4/53.jpg", + "y9Fne3oUwX4/54.jpg", + "y9Fne3oUwX4/55.jpg", + "y9Fne3oUwX4/56.jpg", + "y9Fne3oUwX4/57.jpg", + "y9Fne3oUwX4/58.jpg", + "y9Fne3oUwX4/59.jpg", + "y9Fne3oUwX4/60.jpg", + "y9Fne3oUwX4/61.jpg", + "y9Fne3oUwX4/62.jpg", + "y9Fne3oUwX4/63.jpg" + ], + "prompt": "Which food did the team that chose bananas also select from the following options?\nA. Bread.\nB. Doughnut.\nC. Hamburg.\nD. Marshmallow." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videofoodrecognition_0037", + "input": { + "video_file_list": [ + "J2rlJV7zKZw/0.jpg", + "J2rlJV7zKZw/1.jpg", + "J2rlJV7zKZw/2.jpg", + "J2rlJV7zKZw/3.jpg", + "J2rlJV7zKZw/4.jpg", + "J2rlJV7zKZw/5.jpg", + "J2rlJV7zKZw/6.jpg", + "J2rlJV7zKZw/7.jpg", + "J2rlJV7zKZw/8.jpg", + "J2rlJV7zKZw/9.jpg", + "J2rlJV7zKZw/10.jpg", + "J2rlJV7zKZw/11.jpg", + "J2rlJV7zKZw/12.jpg", + "J2rlJV7zKZw/13.jpg", + "J2rlJV7zKZw/14.jpg", + "J2rlJV7zKZw/15.jpg", + "J2rlJV7zKZw/16.jpg", + "J2rlJV7zKZw/17.jpg", + "J2rlJV7zKZw/18.jpg", + "J2rlJV7zKZw/19.jpg", + "J2rlJV7zKZw/20.jpg", + "J2rlJV7zKZw/21.jpg", + "J2rlJV7zKZw/22.jpg", + "J2rlJV7zKZw/23.jpg", + "J2rlJV7zKZw/24.jpg", + "J2rlJV7zKZw/25.jpg", + "J2rlJV7zKZw/26.jpg", + "J2rlJV7zKZw/27.jpg", + "J2rlJV7zKZw/28.jpg", + "J2rlJV7zKZw/29.jpg", + "J2rlJV7zKZw/30.jpg", + "J2rlJV7zKZw/31.jpg", + "J2rlJV7zKZw/32.jpg", + "J2rlJV7zKZw/33.jpg", + "J2rlJV7zKZw/34.jpg", + "J2rlJV7zKZw/35.jpg", + "J2rlJV7zKZw/36.jpg", + "J2rlJV7zKZw/37.jpg", + "J2rlJV7zKZw/38.jpg", + "J2rlJV7zKZw/39.jpg", + "J2rlJV7zKZw/40.jpg", + "J2rlJV7zKZw/41.jpg", + "J2rlJV7zKZw/42.jpg", + "J2rlJV7zKZw/43.jpg", + "J2rlJV7zKZw/44.jpg", + "J2rlJV7zKZw/45.jpg", + "J2rlJV7zKZw/46.jpg", + "J2rlJV7zKZw/47.jpg", + "J2rlJV7zKZw/48.jpg", + "J2rlJV7zKZw/49.jpg", + "J2rlJV7zKZw/50.jpg", + "J2rlJV7zKZw/51.jpg", + "J2rlJV7zKZw/52.jpg", + "J2rlJV7zKZw/53.jpg", + "J2rlJV7zKZw/54.jpg", + "J2rlJV7zKZw/55.jpg", + "J2rlJV7zKZw/56.jpg", + "J2rlJV7zKZw/57.jpg", + "J2rlJV7zKZw/58.jpg", + "J2rlJV7zKZw/59.jpg", + "J2rlJV7zKZw/60.jpg", + "J2rlJV7zKZw/61.jpg", + "J2rlJV7zKZw/62.jpg", + "J2rlJV7zKZw/63.jpg" + ], + "prompt": "Which of the following could have caused the dark spots in the mayonnaise?\nA. Black truffle.\nB. Black raisin.\nC. Black olives.\nD. Black sugar." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_videofoodrecognition_0030", + "input": { + "video_file_list": [ + "FcP0mzWFCQU/0.jpg", + "FcP0mzWFCQU/1.jpg", + "FcP0mzWFCQU/2.jpg", + "FcP0mzWFCQU/3.jpg", + "FcP0mzWFCQU/4.jpg", + "FcP0mzWFCQU/5.jpg", + "FcP0mzWFCQU/6.jpg", + "FcP0mzWFCQU/7.jpg", + "FcP0mzWFCQU/8.jpg", + "FcP0mzWFCQU/9.jpg", + "FcP0mzWFCQU/10.jpg", + "FcP0mzWFCQU/11.jpg", + "FcP0mzWFCQU/12.jpg", + "FcP0mzWFCQU/13.jpg", + "FcP0mzWFCQU/14.jpg", + "FcP0mzWFCQU/15.jpg", + "FcP0mzWFCQU/16.jpg", + "FcP0mzWFCQU/17.jpg", + "FcP0mzWFCQU/18.jpg", + "FcP0mzWFCQU/19.jpg", + "FcP0mzWFCQU/20.jpg", + "FcP0mzWFCQU/21.jpg", + "FcP0mzWFCQU/22.jpg", + "FcP0mzWFCQU/23.jpg", + "FcP0mzWFCQU/24.jpg", + "FcP0mzWFCQU/25.jpg", + "FcP0mzWFCQU/26.jpg", + "FcP0mzWFCQU/27.jpg", + "FcP0mzWFCQU/28.jpg", + "FcP0mzWFCQU/29.jpg", + "FcP0mzWFCQU/30.jpg", + "FcP0mzWFCQU/31.jpg", + "FcP0mzWFCQU/32.jpg", + "FcP0mzWFCQU/33.jpg", + "FcP0mzWFCQU/34.jpg", + "FcP0mzWFCQU/35.jpg", + "FcP0mzWFCQU/36.jpg", + "FcP0mzWFCQU/37.jpg", + "FcP0mzWFCQU/38.jpg", + "FcP0mzWFCQU/39.jpg", + "FcP0mzWFCQU/40.jpg", + "FcP0mzWFCQU/41.jpg", + "FcP0mzWFCQU/42.jpg", + "FcP0mzWFCQU/43.jpg", + "FcP0mzWFCQU/44.jpg", + "FcP0mzWFCQU/45.jpg", + "FcP0mzWFCQU/46.jpg", + "FcP0mzWFCQU/47.jpg", + "FcP0mzWFCQU/48.jpg", + "FcP0mzWFCQU/49.jpg", + "FcP0mzWFCQU/50.jpg", + "FcP0mzWFCQU/51.jpg", + "FcP0mzWFCQU/52.jpg", + "FcP0mzWFCQU/53.jpg", + "FcP0mzWFCQU/54.jpg", + "FcP0mzWFCQU/55.jpg", + "FcP0mzWFCQU/56.jpg", + "FcP0mzWFCQU/57.jpg", + "FcP0mzWFCQU/58.jpg", + "FcP0mzWFCQU/59.jpg", + "FcP0mzWFCQU/60.jpg", + "FcP0mzWFCQU/61.jpg", + "FcP0mzWFCQU/62.jpg", + "FcP0mzWFCQU/63.jpg" + ], + "prompt": "Which section of the video shows customers uploading videos of themselves making or tasting food on video media?\nA. Opportunities.\nB. Challenges.\nC. France's fast-food market.\nD. Winning over the French." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videofoodrecognition_0019", + "input": { + "video_file_list": [ + "NXeHeEHj9Xc/0.jpg", + "NXeHeEHj9Xc/1.jpg", + "NXeHeEHj9Xc/2.jpg", + "NXeHeEHj9Xc/3.jpg", + "NXeHeEHj9Xc/4.jpg", + "NXeHeEHj9Xc/5.jpg", + "NXeHeEHj9Xc/6.jpg", + "NXeHeEHj9Xc/7.jpg", + "NXeHeEHj9Xc/8.jpg", + "NXeHeEHj9Xc/9.jpg", + "NXeHeEHj9Xc/10.jpg", + "NXeHeEHj9Xc/11.jpg", + "NXeHeEHj9Xc/12.jpg", + "NXeHeEHj9Xc/13.jpg", + "NXeHeEHj9Xc/14.jpg", + "NXeHeEHj9Xc/15.jpg", + "NXeHeEHj9Xc/16.jpg", + "NXeHeEHj9Xc/17.jpg", + "NXeHeEHj9Xc/18.jpg", + "NXeHeEHj9Xc/19.jpg", + "NXeHeEHj9Xc/20.jpg", + "NXeHeEHj9Xc/21.jpg", + "NXeHeEHj9Xc/22.jpg", + "NXeHeEHj9Xc/23.jpg", + "NXeHeEHj9Xc/24.jpg", + "NXeHeEHj9Xc/25.jpg", + "NXeHeEHj9Xc/26.jpg", + "NXeHeEHj9Xc/27.jpg", + "NXeHeEHj9Xc/28.jpg", + "NXeHeEHj9Xc/29.jpg", + "NXeHeEHj9Xc/30.jpg", + "NXeHeEHj9Xc/31.jpg", + "NXeHeEHj9Xc/32.jpg", + "NXeHeEHj9Xc/33.jpg", + "NXeHeEHj9Xc/34.jpg", + "NXeHeEHj9Xc/35.jpg", + "NXeHeEHj9Xc/36.jpg", + "NXeHeEHj9Xc/37.jpg", + "NXeHeEHj9Xc/38.jpg", + "NXeHeEHj9Xc/39.jpg", + "NXeHeEHj9Xc/40.jpg", + "NXeHeEHj9Xc/41.jpg", + "NXeHeEHj9Xc/42.jpg", + "NXeHeEHj9Xc/43.jpg", + "NXeHeEHj9Xc/44.jpg", + "NXeHeEHj9Xc/45.jpg", + "NXeHeEHj9Xc/46.jpg", + "NXeHeEHj9Xc/47.jpg", + "NXeHeEHj9Xc/48.jpg", + "NXeHeEHj9Xc/49.jpg", + "NXeHeEHj9Xc/50.jpg", + "NXeHeEHj9Xc/51.jpg", + "NXeHeEHj9Xc/52.jpg", + "NXeHeEHj9Xc/53.jpg", + "NXeHeEHj9Xc/54.jpg", + "NXeHeEHj9Xc/55.jpg", + "NXeHeEHj9Xc/56.jpg", + "NXeHeEHj9Xc/57.jpg", + "NXeHeEHj9Xc/58.jpg", + "NXeHeEHj9Xc/59.jpg", + "NXeHeEHj9Xc/60.jpg", + "NXeHeEHj9Xc/61.jpg", + "NXeHeEHj9Xc/62.jpg", + "NXeHeEHj9Xc/63.jpg" + ], + "prompt": "Which of the following best describes the topic of the video?\nA. How to eat potato chips.\nB. The birth of French fries.\nC. How to make French fries.\nD. 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What is the nature of their relationship?\nA. They are working partners.\nB. They are family members.\nC. They are friends.\nD. lt is unclear what their relationship is." + }, + "output": { + "text": "A" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoObjectCounting/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoObjectCounting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c0f85dbbd7b24568c75ae4d2b4918dd4d07fab07 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoObjectCounting/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "VideoObjectCounting", + "data_source": "mvbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videoobjectcounting_0097", + "input": { + "video_file_list": [ + "video_7390/0.jpg", + "video_7390/1.jpg", + "video_7390/2.jpg", + "video_7390/3.jpg", + "video_7390/4.jpg", + "video_7390/5.jpg", + "video_7390/6.jpg", + 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"video_12341/62.jpg", + "video_12341/63.jpg" + ], + "prompt": "Are there any stationary gray objects when the video ends?\nAnswer the question using yes or no.\n" + }, + "output": { + "text": "no" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoObjectInteractionRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoObjectInteractionRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..236a5c19afa8bb0a5500dae57ed9c50cbc6f9bb5 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoObjectInteractionRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "VideoObjectInteractionRecognition", + "data_source": "mvbench", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videoobjectinteractionrecognition_0067", + "input": { + "video_file_list": [ + "JJON5/0.jpg", + "JJON5/1.jpg", + "JJON5/2.jpg", + "JJON5/3.jpg", + "JJON5/4.jpg", + "JJON5/5.jpg", + "JJON5/6.jpg", + "JJON5/7.jpg", + "JJON5/8.jpg", + "JJON5/9.jpg", + "JJON5/10.jpg", + "JJON5/11.jpg", + "JJON5/12.jpg", + "JJON5/13.jpg", + "JJON5/14.jpg", + "JJON5/15.jpg", + "JJON5/16.jpg", + "JJON5/17.jpg", + "JJON5/18.jpg", + "JJON5/19.jpg", + "JJON5/20.jpg", + "JJON5/21.jpg", + "JJON5/22.jpg", + "JJON5/23.jpg", + "JJON5/24.jpg", + "JJON5/25.jpg", + "JJON5/26.jpg", + "JJON5/27.jpg", + "JJON5/28.jpg", + "JJON5/29.jpg", + "JJON5/30.jpg", + "JJON5/31.jpg", + "JJON5/32.jpg", + "JJON5/33.jpg", + "JJON5/34.jpg", + "JJON5/35.jpg", + "JJON5/36.jpg", + "JJON5/37.jpg", + "JJON5/38.jpg", + "JJON5/39.jpg", + "JJON5/40.jpg", + "JJON5/41.jpg", + "JJON5/42.jpg", + "JJON5/43.jpg", + "JJON5/44.jpg", + "JJON5/45.jpg", + "JJON5/46.jpg", + "JJON5/47.jpg", + "JJON5/48.jpg", + "JJON5/49.jpg", + "JJON5/50.jpg", + "JJON5/51.jpg", + "JJON5/52.jpg", + "JJON5/53.jpg", + "JJON5/54.jpg", + "JJON5/55.jpg", + "JJON5/56.jpg", + "JJON5/57.jpg", + "JJON5/58.jpg", + "JJON5/59.jpg", + "JJON5/60.jpg", + "JJON5/61.jpg", + "JJON5/62.jpg", + "JJON5/63.jpg" + ], + "prompt": "Which object was opened by the person?" + }, + "output": { + "text": "The refrigerator." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0002", + "input": { + "video_file_list": [ + "RXLKF/0.jpg", + "RXLKF/1.jpg", + "RXLKF/2.jpg", + "RXLKF/3.jpg", + "RXLKF/4.jpg", + "RXLKF/5.jpg", + "RXLKF/6.jpg", + "RXLKF/7.jpg", + "RXLKF/8.jpg", + "RXLKF/9.jpg", + "RXLKF/10.jpg", + "RXLKF/11.jpg", + "RXLKF/12.jpg", + "RXLKF/13.jpg", + "RXLKF/14.jpg", + "RXLKF/15.jpg", + "RXLKF/16.jpg", + "RXLKF/17.jpg", + "RXLKF/18.jpg", + "RXLKF/19.jpg", + "RXLKF/20.jpg", + "RXLKF/21.jpg", + "RXLKF/22.jpg", + "RXLKF/23.jpg", + "RXLKF/24.jpg", + "RXLKF/25.jpg", + "RXLKF/26.jpg", + "RXLKF/27.jpg", + "RXLKF/28.jpg", + "RXLKF/29.jpg", + "RXLKF/30.jpg", + "RXLKF/31.jpg", + "RXLKF/32.jpg", + "RXLKF/33.jpg", + "RXLKF/34.jpg", + "RXLKF/35.jpg", + "RXLKF/36.jpg", + "RXLKF/37.jpg", + "RXLKF/38.jpg", + "RXLKF/39.jpg", + "RXLKF/40.jpg", + "RXLKF/41.jpg", + "RXLKF/42.jpg", + "RXLKF/43.jpg", + "RXLKF/44.jpg", + "RXLKF/45.jpg", + "RXLKF/46.jpg", + "RXLKF/47.jpg", + "RXLKF/48.jpg", + "RXLKF/49.jpg", + "RXLKF/50.jpg", + "RXLKF/51.jpg", + "RXLKF/52.jpg", + "RXLKF/53.jpg", + "RXLKF/54.jpg", + "RXLKF/55.jpg", + "RXLKF/56.jpg", + "RXLKF/57.jpg", + "RXLKF/58.jpg", + "RXLKF/59.jpg", + "RXLKF/60.jpg", + "RXLKF/61.jpg", + "RXLKF/62.jpg", + "RXLKF/63.jpg" + ], + "prompt": "Which object was sat on by the person?" + }, + "output": { + "text": "The sofa/couch." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0071", + "input": { + "video_file_list": [ + "D1NT7/0.jpg", + "D1NT7/1.jpg", + "D1NT7/2.jpg", + "D1NT7/3.jpg", + "D1NT7/4.jpg", + "D1NT7/5.jpg", + "D1NT7/6.jpg", + "D1NT7/7.jpg", + "D1NT7/8.jpg", + "D1NT7/9.jpg", + "D1NT7/10.jpg", + "D1NT7/11.jpg", + "D1NT7/12.jpg", + "D1NT7/13.jpg", + "D1NT7/14.jpg", + "D1NT7/15.jpg", + "D1NT7/16.jpg", + "D1NT7/17.jpg", + "D1NT7/18.jpg", + "D1NT7/19.jpg", + "D1NT7/20.jpg", + "D1NT7/21.jpg", + "D1NT7/22.jpg", + "D1NT7/23.jpg", + "D1NT7/24.jpg", + "D1NT7/25.jpg", + "D1NT7/26.jpg", + "D1NT7/27.jpg", + "D1NT7/28.jpg", + "D1NT7/29.jpg", + "D1NT7/30.jpg", + "D1NT7/31.jpg", + "D1NT7/32.jpg", + "D1NT7/33.jpg", + "D1NT7/34.jpg", + "D1NT7/35.jpg", + "D1NT7/36.jpg", + "D1NT7/37.jpg", + "D1NT7/38.jpg", + "D1NT7/39.jpg", + "D1NT7/40.jpg", + "D1NT7/41.jpg", + "D1NT7/42.jpg", + "D1NT7/43.jpg", + "D1NT7/44.jpg", + "D1NT7/45.jpg", + "D1NT7/46.jpg", + "D1NT7/47.jpg", + "D1NT7/48.jpg", + "D1NT7/49.jpg", + "D1NT7/50.jpg", + "D1NT7/51.jpg", + "D1NT7/52.jpg", + "D1NT7/53.jpg", + "D1NT7/54.jpg", + "D1NT7/55.jpg", + "D1NT7/56.jpg", + "D1NT7/57.jpg", + "D1NT7/58.jpg", + "D1NT7/59.jpg", + "D1NT7/60.jpg", + "D1NT7/61.jpg", + "D1NT7/62.jpg", + "D1NT7/63.jpg" + ], + "prompt": "Which object was put down by the person?" + }, + "output": { + "text": "The box." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0001", + "input": { + "video_file_list": [ + "DHFA6/0.jpg", + "DHFA6/1.jpg", + "DHFA6/2.jpg", + "DHFA6/3.jpg", + "DHFA6/4.jpg", + "DHFA6/5.jpg", + "DHFA6/6.jpg", + "DHFA6/7.jpg", + "DHFA6/8.jpg", + "DHFA6/9.jpg", + "DHFA6/10.jpg", + "DHFA6/11.jpg", + "DHFA6/12.jpg", + "DHFA6/13.jpg", + "DHFA6/14.jpg", + "DHFA6/15.jpg", + "DHFA6/16.jpg", + "DHFA6/17.jpg", + "DHFA6/18.jpg", + "DHFA6/19.jpg", + "DHFA6/20.jpg", + "DHFA6/21.jpg", + "DHFA6/22.jpg", + "DHFA6/23.jpg", + "DHFA6/24.jpg", + "DHFA6/25.jpg", + "DHFA6/26.jpg", + "DHFA6/27.jpg", + "DHFA6/28.jpg", + "DHFA6/29.jpg", + "DHFA6/30.jpg", + "DHFA6/31.jpg", + "DHFA6/32.jpg", + "DHFA6/33.jpg", + "DHFA6/34.jpg", + "DHFA6/35.jpg", + "DHFA6/36.jpg", + "DHFA6/37.jpg", + "DHFA6/38.jpg", + "DHFA6/39.jpg", + "DHFA6/40.jpg", + "DHFA6/41.jpg", + "DHFA6/42.jpg", + "DHFA6/43.jpg", + "DHFA6/44.jpg", + "DHFA6/45.jpg", + "DHFA6/46.jpg", + "DHFA6/47.jpg", + "DHFA6/48.jpg", + "DHFA6/49.jpg", + "DHFA6/50.jpg", + "DHFA6/51.jpg", + "DHFA6/52.jpg", + "DHFA6/53.jpg", + "DHFA6/54.jpg", + "DHFA6/55.jpg", + "DHFA6/56.jpg", + "DHFA6/57.jpg", + "DHFA6/58.jpg", + "DHFA6/59.jpg", + "DHFA6/60.jpg", + "DHFA6/61.jpg", + "DHFA6/62.jpg", + "DHFA6/63.jpg" + ], + "prompt": "Which object was put down by the person?" + }, + "output": { + "text": "The box." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0059", + "input": { + "video_file_list": [ + "9J166/0.jpg", + "9J166/1.jpg", + "9J166/2.jpg", + "9J166/3.jpg", + "9J166/4.jpg", + "9J166/5.jpg", + "9J166/6.jpg", + "9J166/7.jpg", + "9J166/8.jpg", + "9J166/9.jpg", + "9J166/10.jpg", + "9J166/11.jpg", + "9J166/12.jpg", + "9J166/13.jpg", + "9J166/14.jpg", + "9J166/15.jpg", + "9J166/16.jpg", + "9J166/17.jpg", + "9J166/18.jpg", + "9J166/19.jpg", + "9J166/20.jpg", + "9J166/21.jpg", + "9J166/22.jpg", + "9J166/23.jpg", + "9J166/24.jpg", + "9J166/25.jpg", + "9J166/26.jpg", + "9J166/27.jpg", + "9J166/28.jpg", + "9J166/29.jpg", + "9J166/30.jpg", + "9J166/31.jpg", + "9J166/32.jpg", + "9J166/33.jpg", + "9J166/34.jpg", + "9J166/35.jpg", + "9J166/36.jpg", + "9J166/37.jpg", + "9J166/38.jpg", + "9J166/39.jpg", + "9J166/40.jpg", + "9J166/41.jpg", + "9J166/42.jpg", + "9J166/43.jpg", + "9J166/44.jpg", + "9J166/45.jpg", + "9J166/46.jpg", + "9J166/47.jpg", + "9J166/48.jpg", + "9J166/49.jpg", + "9J166/50.jpg", + "9J166/51.jpg", + "9J166/52.jpg", + "9J166/53.jpg", + "9J166/54.jpg", + "9J166/55.jpg", + "9J166/56.jpg", + "9J166/57.jpg", + "9J166/58.jpg", + "9J166/59.jpg", + "9J166/60.jpg", + "9J166/61.jpg", + "9J166/62.jpg", + "9J166/63.jpg" + ], + "prompt": "Which object was opened by the person?" + }, + "output": { + "text": "The window." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0116", + "input": { + "video_file_list": [ + "7MRKY/0.jpg", + "7MRKY/1.jpg", + "7MRKY/2.jpg", + "7MRKY/3.jpg", + "7MRKY/4.jpg", + "7MRKY/5.jpg", + "7MRKY/6.jpg", + "7MRKY/7.jpg", + "7MRKY/8.jpg", + "7MRKY/9.jpg", + "7MRKY/10.jpg", + "7MRKY/11.jpg", + "7MRKY/12.jpg", + "7MRKY/13.jpg", + "7MRKY/14.jpg", + "7MRKY/15.jpg", + "7MRKY/16.jpg", + "7MRKY/17.jpg", + "7MRKY/18.jpg", + "7MRKY/19.jpg", + "7MRKY/20.jpg", + "7MRKY/21.jpg", + "7MRKY/22.jpg", + "7MRKY/23.jpg", + "7MRKY/24.jpg", + "7MRKY/25.jpg", + "7MRKY/26.jpg", + "7MRKY/27.jpg", + "7MRKY/28.jpg", + "7MRKY/29.jpg", + "7MRKY/30.jpg", + "7MRKY/31.jpg", + "7MRKY/32.jpg", + "7MRKY/33.jpg", + "7MRKY/34.jpg", + "7MRKY/35.jpg", + "7MRKY/36.jpg", + "7MRKY/37.jpg", + "7MRKY/38.jpg", + "7MRKY/39.jpg", + "7MRKY/40.jpg", + "7MRKY/41.jpg", + "7MRKY/42.jpg", + "7MRKY/43.jpg", + "7MRKY/44.jpg", + "7MRKY/45.jpg", + "7MRKY/46.jpg", + "7MRKY/47.jpg", + "7MRKY/48.jpg", + "7MRKY/49.jpg", + "7MRKY/50.jpg", + "7MRKY/51.jpg", + "7MRKY/52.jpg", + "7MRKY/53.jpg", + "7MRKY/54.jpg", + "7MRKY/55.jpg", + "7MRKY/56.jpg", + "7MRKY/57.jpg", + "7MRKY/58.jpg", + "7MRKY/59.jpg", + "7MRKY/60.jpg", + "7MRKY/61.jpg", + "7MRKY/62.jpg", + "7MRKY/63.jpg" + ], + "prompt": "Which object was put down by the person?" + }, + "output": { + "text": "The broom." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0098", + "input": { + "video_file_list": [ + "FTG07/0.jpg", + "FTG07/1.jpg", + "FTG07/2.jpg", + "FTG07/3.jpg", + "FTG07/4.jpg", + "FTG07/5.jpg", + "FTG07/6.jpg", + "FTG07/7.jpg", + "FTG07/8.jpg", + "FTG07/9.jpg", + "FTG07/10.jpg", + "FTG07/11.jpg", + "FTG07/12.jpg", + "FTG07/13.jpg", + "FTG07/14.jpg", + "FTG07/15.jpg", + "FTG07/16.jpg", + "FTG07/17.jpg", + "FTG07/18.jpg", + "FTG07/19.jpg", + "FTG07/20.jpg", + "FTG07/21.jpg", + "FTG07/22.jpg", + "FTG07/23.jpg", + "FTG07/24.jpg", + "FTG07/25.jpg", + "FTG07/26.jpg", + "FTG07/27.jpg", + "FTG07/28.jpg", + "FTG07/29.jpg", + "FTG07/30.jpg", + "FTG07/31.jpg", + "FTG07/32.jpg", + "FTG07/33.jpg", + "FTG07/34.jpg", + "FTG07/35.jpg", + "FTG07/36.jpg", + "FTG07/37.jpg", + "FTG07/38.jpg", + "FTG07/39.jpg", + "FTG07/40.jpg", + "FTG07/41.jpg", + "FTG07/42.jpg", + "FTG07/43.jpg", + "FTG07/44.jpg", + "FTG07/45.jpg", + "FTG07/46.jpg", + "FTG07/47.jpg", + "FTG07/48.jpg", + "FTG07/49.jpg", + "FTG07/50.jpg", + "FTG07/51.jpg", + "FTG07/52.jpg", + "FTG07/53.jpg", + "FTG07/54.jpg", + "FTG07/55.jpg", + "FTG07/56.jpg", + "FTG07/57.jpg", + "FTG07/58.jpg", + "FTG07/59.jpg", + "FTG07/60.jpg", + "FTG07/61.jpg", + "FTG07/62.jpg", + "FTG07/63.jpg" + ], + "prompt": "Which object was tidied up by the person?" + }, + "output": { + "text": "The table." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0108", + "input": { + "video_file_list": [ + "R971Z/0.jpg", + "R971Z/1.jpg", + "R971Z/2.jpg", + "R971Z/3.jpg", + "R971Z/4.jpg", + "R971Z/5.jpg", + "R971Z/6.jpg", + "R971Z/7.jpg", + "R971Z/8.jpg", + "R971Z/9.jpg", + "R971Z/10.jpg", + "R971Z/11.jpg", + "R971Z/12.jpg", + "R971Z/13.jpg", + "R971Z/14.jpg", + "R971Z/15.jpg", + "R971Z/16.jpg", + "R971Z/17.jpg", + "R971Z/18.jpg", + "R971Z/19.jpg", + "R971Z/20.jpg", + "R971Z/21.jpg", + "R971Z/22.jpg", + "R971Z/23.jpg", + "R971Z/24.jpg", + "R971Z/25.jpg", + "R971Z/26.jpg", + "R971Z/27.jpg", + "R971Z/28.jpg", + "R971Z/29.jpg", + "R971Z/30.jpg", + "R971Z/31.jpg", + "R971Z/32.jpg", + "R971Z/33.jpg", + "R971Z/34.jpg", + "R971Z/35.jpg", + "R971Z/36.jpg", + "R971Z/37.jpg", + "R971Z/38.jpg", + "R971Z/39.jpg", + "R971Z/40.jpg", + "R971Z/41.jpg", + "R971Z/42.jpg", + "R971Z/43.jpg", + "R971Z/44.jpg", + "R971Z/45.jpg", + "R971Z/46.jpg", + "R971Z/47.jpg", + "R971Z/48.jpg", + "R971Z/49.jpg", + "R971Z/50.jpg", + "R971Z/51.jpg", + "R971Z/52.jpg", + "R971Z/53.jpg", + "R971Z/54.jpg", + "R971Z/55.jpg", + "R971Z/56.jpg", + "R971Z/57.jpg", + "R971Z/58.jpg", + "R971Z/59.jpg", + "R971Z/60.jpg", + "R971Z/61.jpg", + "R971Z/62.jpg", + "R971Z/63.jpg" + ], + "prompt": "Which object was put down by the person?" + }, + "output": { + "text": "The shoe." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0078", + "input": { + "video_file_list": [ + "7ZCXJ/0.jpg", + "7ZCXJ/1.jpg", + "7ZCXJ/2.jpg", + "7ZCXJ/3.jpg", + "7ZCXJ/4.jpg", + "7ZCXJ/5.jpg", + "7ZCXJ/6.jpg", + "7ZCXJ/7.jpg", + "7ZCXJ/8.jpg", + "7ZCXJ/9.jpg", + "7ZCXJ/10.jpg", + "7ZCXJ/11.jpg", + "7ZCXJ/12.jpg", + "7ZCXJ/13.jpg", + "7ZCXJ/14.jpg", + "7ZCXJ/15.jpg", + "7ZCXJ/16.jpg", + "7ZCXJ/17.jpg", + "7ZCXJ/18.jpg", + "7ZCXJ/19.jpg", + "7ZCXJ/20.jpg", + "7ZCXJ/21.jpg", + "7ZCXJ/22.jpg", + "7ZCXJ/23.jpg", + "7ZCXJ/24.jpg", + "7ZCXJ/25.jpg", + "7ZCXJ/26.jpg", + "7ZCXJ/27.jpg", + "7ZCXJ/28.jpg", + "7ZCXJ/29.jpg", + "7ZCXJ/30.jpg", + "7ZCXJ/31.jpg", + "7ZCXJ/32.jpg", + "7ZCXJ/33.jpg", + "7ZCXJ/34.jpg", + "7ZCXJ/35.jpg", + "7ZCXJ/36.jpg", + "7ZCXJ/37.jpg", + "7ZCXJ/38.jpg", + "7ZCXJ/39.jpg", + "7ZCXJ/40.jpg", + "7ZCXJ/41.jpg", + "7ZCXJ/42.jpg", + "7ZCXJ/43.jpg", + "7ZCXJ/44.jpg", + "7ZCXJ/45.jpg", + "7ZCXJ/46.jpg", + "7ZCXJ/47.jpg", + "7ZCXJ/48.jpg", + "7ZCXJ/49.jpg", + "7ZCXJ/50.jpg", + "7ZCXJ/51.jpg", + "7ZCXJ/52.jpg", + "7ZCXJ/53.jpg", + "7ZCXJ/54.jpg", + "7ZCXJ/55.jpg", + "7ZCXJ/56.jpg", + "7ZCXJ/57.jpg", + "7ZCXJ/58.jpg", + "7ZCXJ/59.jpg", + "7ZCXJ/60.jpg", + "7ZCXJ/61.jpg", + "7ZCXJ/62.jpg", + "7ZCXJ/63.jpg" + ], + "prompt": "Which object was sat on by the person?" + }, + "output": { + "text": "The floor." + } + }, + { + "id": "vc_closeset_videoobjectinteractionrecognition_0114", + "input": { + "video_file_list": [ + "01KML/0.jpg", + "01KML/1.jpg", + "01KML/2.jpg", + "01KML/3.jpg", + "01KML/4.jpg", + "01KML/5.jpg", + "01KML/6.jpg", + "01KML/7.jpg", + "01KML/8.jpg", + "01KML/9.jpg", + "01KML/10.jpg", + "01KML/11.jpg", + "01KML/12.jpg", + "01KML/13.jpg", + "01KML/14.jpg", + "01KML/15.jpg", + "01KML/16.jpg", + "01KML/17.jpg", + "01KML/18.jpg", + "01KML/19.jpg", + "01KML/20.jpg", + "01KML/21.jpg", + "01KML/22.jpg", + "01KML/23.jpg", + "01KML/24.jpg", + "01KML/25.jpg", + "01KML/26.jpg", + "01KML/27.jpg", + "01KML/28.jpg", + "01KML/29.jpg", + "01KML/30.jpg", + "01KML/31.jpg", + "01KML/32.jpg", + "01KML/33.jpg", + "01KML/34.jpg", + "01KML/35.jpg", + "01KML/36.jpg", + "01KML/37.jpg", + "01KML/38.jpg", + "01KML/39.jpg", + "01KML/40.jpg", + "01KML/41.jpg", + "01KML/42.jpg", + "01KML/43.jpg", + "01KML/44.jpg", + "01KML/45.jpg", + "01KML/46.jpg", + "01KML/47.jpg", + "01KML/48.jpg", + "01KML/49.jpg", + "01KML/50.jpg", + "01KML/51.jpg", + "01KML/52.jpg", + "01KML/53.jpg", + "01KML/54.jpg", + "01KML/55.jpg", + "01KML/56.jpg", + "01KML/57.jpg", + "01KML/58.jpg", + "01KML/59.jpg", + "01KML/60.jpg", + "01KML/61.jpg", + "01KML/62.jpg", + "01KML/63.jpg" + ], + "prompt": "Which object was taken by the person?" + }, + "output": { + "text": "The laptop." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoSalientObjectDetection/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoSalientObjectDetection/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..95bb7607c90ead12b1f6cb72838501ef63bcfd11 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoSalientObjectDetection/annotation.json @@ -0,0 +1,687 @@ +{ + "task": "FoodVideoCaptioning", + "data_source": "mmbench-video", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_foodvideocaptioning_0005", + "input": { + "video_file_list": [ + "PhS5ZuOukIo/frame_001.jpg", + "PhS5ZuOukIo/frame_002.jpg", + "PhS5ZuOukIo/frame_003.jpg", + "PhS5ZuOukIo/frame_004.jpg", + "PhS5ZuOukIo/frame_005.jpg", + "PhS5ZuOukIo/frame_006.jpg", + "PhS5ZuOukIo/frame_007.jpg", + "PhS5ZuOukIo/frame_008.jpg", + "PhS5ZuOukIo/frame_009.jpg", + "PhS5ZuOukIo/frame_010.jpg", + "PhS5ZuOukIo/frame_011.jpg", + "PhS5ZuOukIo/frame_012.jpg", + "PhS5ZuOukIo/frame_013.jpg", + "PhS5ZuOukIo/frame_014.jpg", + "PhS5ZuOukIo/frame_015.jpg", + "PhS5ZuOukIo/frame_016.jpg", + "PhS5ZuOukIo/frame_017.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts someone preparing cookies by combining ingredients and shaping them into balls. They are wearing an \"obey\" shirt and briefly stand on their head. It also features a bowl of cereal and a person holding a chocolate chip cookie." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0010", + "input": { + "video_file_list": [ + "DrQzaGncGmw/frame_001.jpg", + "DrQzaGncGmw/frame_002.jpg", + "DrQzaGncGmw/frame_003.jpg", + "DrQzaGncGmw/frame_004.jpg", + "DrQzaGncGmw/frame_005.jpg", + "DrQzaGncGmw/frame_006.jpg", + "DrQzaGncGmw/frame_007.jpg", + "DrQzaGncGmw/frame_008.jpg", + "DrQzaGncGmw/frame_009.jpg", + "DrQzaGncGmw/frame_010.jpg", + "DrQzaGncGmw/frame_011.jpg", + "DrQzaGncGmw/frame_012.jpg", + "DrQzaGncGmw/frame_013.jpg", + "DrQzaGncGmw/frame_014.jpg", + "DrQzaGncGmw/frame_015.jpg", + "DrQzaGncGmw/frame_016.jpg", + "DrQzaGncGmw/frame_017.jpg", + "DrQzaGncGmw/frame_018.jpg", + "DrQzaGncGmw/frame_019.jpg", + "DrQzaGncGmw/frame_020.jpg", + "DrQzaGncGmw/frame_021.jpg", + "DrQzaGncGmw/frame_022.jpg", + "DrQzaGncGmw/frame_023.jpg", + "DrQzaGncGmw/frame_024.jpg", + "DrQzaGncGmw/frame_025.jpg", + "DrQzaGncGmw/frame_026.jpg", + "DrQzaGncGmw/frame_027.jpg", + "DrQzaGncGmw/frame_028.jpg", + "DrQzaGncGmw/frame_029.jpg", + "DrQzaGncGmw/frame_030.jpg", + "DrQzaGncGmw/frame_031.jpg", + "DrQzaGncGmw/frame_032.jpg", + "DrQzaGncGmw/frame_033.jpg", + "DrQzaGncGmw/frame_034.jpg", + "DrQzaGncGmw/frame_035.jpg", + "DrQzaGncGmw/frame_036.jpg", + "DrQzaGncGmw/frame_037.jpg", + "DrQzaGncGmw/frame_038.jpg", + "DrQzaGncGmw/frame_039.jpg", + "DrQzaGncGmw/frame_040.jpg", + "DrQzaGncGmw/frame_041.jpg", + "DrQzaGncGmw/frame_042.jpg", + "DrQzaGncGmw/frame_043.jpg", + "DrQzaGncGmw/frame_044.jpg", + "DrQzaGncGmw/frame_045.jpg", + "DrQzaGncGmw/frame_046.jpg", + "DrQzaGncGmw/frame_047.jpg", + "DrQzaGncGmw/frame_048.jpg", + "DrQzaGncGmw/frame_049.jpg", + "DrQzaGncGmw/frame_050.jpg", + "DrQzaGncGmw/frame_051.jpg", + "DrQzaGncGmw/frame_052.jpg", + "DrQzaGncGmw/frame_053.jpg", + "DrQzaGncGmw/frame_054.jpg", + "DrQzaGncGmw/frame_055.jpg", + "DrQzaGncGmw/frame_056.jpg", + "DrQzaGncGmw/frame_057.jpg", + "DrQzaGncGmw/frame_058.jpg", + "DrQzaGncGmw/frame_059.jpg", + "DrQzaGncGmw/frame_060.jpg", + "DrQzaGncGmw/frame_061.jpg", + "DrQzaGncGmw/frame_062.jpg", + "DrQzaGncGmw/frame_063.jpg", + "DrQzaGncGmw/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two girls enjoying different foods like hot dogs and corn dogs, wearing colorful hats and glasses. They also munch on noodles and other snacks, making amusing faces. The clip concludes with them seated together at a table, still eating." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0004", + "input": { + "video_file_list": [ + "JBN-k3-noVo/frame_001.jpg", + "JBN-k3-noVo/frame_002.jpg", + "JBN-k3-noVo/frame_003.jpg", + "JBN-k3-noVo/frame_004.jpg", + "JBN-k3-noVo/frame_005.jpg", + "JBN-k3-noVo/frame_006.jpg", + "JBN-k3-noVo/frame_007.jpg", + "JBN-k3-noVo/frame_008.jpg", + "JBN-k3-noVo/frame_009.jpg", + "JBN-k3-noVo/frame_010.jpg", + "JBN-k3-noVo/frame_011.jpg", + "JBN-k3-noVo/frame_012.jpg", + "JBN-k3-noVo/frame_013.jpg", + "JBN-k3-noVo/frame_014.jpg", + "JBN-k3-noVo/frame_015.jpg", + "JBN-k3-noVo/frame_016.jpg", + "JBN-k3-noVo/frame_017.jpg", + "JBN-k3-noVo/frame_018.jpg", + "JBN-k3-noVo/frame_019.jpg", + "JBN-k3-noVo/frame_020.jpg", + "JBN-k3-noVo/frame_021.jpg", + "JBN-k3-noVo/frame_022.jpg", + "JBN-k3-noVo/frame_023.jpg", + "JBN-k3-noVo/frame_024.jpg", + "JBN-k3-noVo/frame_025.jpg", + "JBN-k3-noVo/frame_026.jpg", + "JBN-k3-noVo/frame_027.jpg", + "JBN-k3-noVo/frame_028.jpg", + "JBN-k3-noVo/frame_029.jpg", + "JBN-k3-noVo/frame_030.jpg", + "JBN-k3-noVo/frame_031.jpg", + "JBN-k3-noVo/frame_032.jpg", + "JBN-k3-noVo/frame_033.jpg", + "JBN-k3-noVo/frame_034.jpg", + "JBN-k3-noVo/frame_035.jpg", + "JBN-k3-noVo/frame_036.jpg", + "JBN-k3-noVo/frame_037.jpg", + "JBN-k3-noVo/frame_038.jpg", + "JBN-k3-noVo/frame_039.jpg", + "JBN-k3-noVo/frame_040.jpg", + "JBN-k3-noVo/frame_041.jpg", + "JBN-k3-noVo/frame_042.jpg", + "JBN-k3-noVo/frame_043.jpg", + "JBN-k3-noVo/frame_044.jpg", + "JBN-k3-noVo/frame_045.jpg", + "JBN-k3-noVo/frame_046.jpg", + "JBN-k3-noVo/frame_047.jpg", + "JBN-k3-noVo/frame_048.jpg", + "JBN-k3-noVo/frame_049.jpg", + "JBN-k3-noVo/frame_050.jpg", + "JBN-k3-noVo/frame_051.jpg", + "JBN-k3-noVo/frame_052.jpg", + "JBN-k3-noVo/frame_053.jpg", + "JBN-k3-noVo/frame_054.jpg", + "JBN-k3-noVo/frame_055.jpg", + "JBN-k3-noVo/frame_056.jpg", + "JBN-k3-noVo/frame_057.jpg", + "JBN-k3-noVo/frame_058.jpg", + "JBN-k3-noVo/frame_059.jpg", + "JBN-k3-noVo/frame_060.jpg", + "JBN-k3-noVo/frame_061.jpg", + "JBN-k3-noVo/frame_062.jpg", + "JBN-k3-noVo/frame_063.jpg", + "JBN-k3-noVo/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video demonstrates the steps for preparing spaghetti, which involve boiling water with oil, cooking garlic, onions, and meat, adding sauce, and then combining all the ingredients. The dish is finished by topping it with cheese." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0020", + "input": { + "video_file_list": [ + "qS14bF26IO0_processed/frame_001.jpg", + "qS14bF26IO0_processed/frame_002.jpg", + "qS14bF26IO0_processed/frame_003.jpg", + "qS14bF26IO0_processed/frame_004.jpg", + "qS14bF26IO0_processed/frame_005.jpg", + "qS14bF26IO0_processed/frame_006.jpg", + "qS14bF26IO0_processed/frame_007.jpg", + "qS14bF26IO0_processed/frame_008.jpg", + "qS14bF26IO0_processed/frame_009.jpg", + "qS14bF26IO0_processed/frame_010.jpg", + "qS14bF26IO0_processed/frame_011.jpg", + "qS14bF26IO0_processed/frame_012.jpg", + "qS14bF26IO0_processed/frame_013.jpg", + "qS14bF26IO0_processed/frame_014.jpg", + "qS14bF26IO0_processed/frame_015.jpg", + "qS14bF26IO0_processed/frame_016.jpg", + "qS14bF26IO0_processed/frame_017.jpg", + "qS14bF26IO0_processed/frame_018.jpg", + "qS14bF26IO0_processed/frame_019.jpg", + "qS14bF26IO0_processed/frame_020.jpg", + "qS14bF26IO0_processed/frame_021.jpg", + "qS14bF26IO0_processed/frame_022.jpg", + "qS14bF26IO0_processed/frame_023.jpg", + "qS14bF26IO0_processed/frame_024.jpg", + "qS14bF26IO0_processed/frame_025.jpg", + "qS14bF26IO0_processed/frame_026.jpg", + "qS14bF26IO0_processed/frame_027.jpg", + "qS14bF26IO0_processed/frame_028.jpg", + "qS14bF26IO0_processed/frame_029.jpg", + "qS14bF26IO0_processed/frame_030.jpg", + "qS14bF26IO0_processed/frame_031.jpg", + "qS14bF26IO0_processed/frame_032.jpg", + "qS14bF26IO0_processed/frame_033.jpg", + "qS14bF26IO0_processed/frame_034.jpg", + "qS14bF26IO0_processed/frame_035.jpg", + "qS14bF26IO0_processed/frame_036.jpg", + "qS14bF26IO0_processed/frame_037.jpg", + "qS14bF26IO0_processed/frame_038.jpg", + "qS14bF26IO0_processed/frame_039.jpg", + "qS14bF26IO0_processed/frame_040.jpg", + "qS14bF26IO0_processed/frame_041.jpg", + "qS14bF26IO0_processed/frame_042.jpg", + "qS14bF26IO0_processed/frame_043.jpg", + "qS14bF26IO0_processed/frame_044.jpg", + "qS14bF26IO0_processed/frame_045.jpg", + "qS14bF26IO0_processed/frame_046.jpg", + "qS14bF26IO0_processed/frame_047.jpg", + "qS14bF26IO0_processed/frame_048.jpg", + "qS14bF26IO0_processed/frame_049.jpg", + "qS14bF26IO0_processed/frame_050.jpg", + "qS14bF26IO0_processed/frame_051.jpg", + "qS14bF26IO0_processed/frame_052.jpg", + "qS14bF26IO0_processed/frame_053.jpg", + "qS14bF26IO0_processed/frame_054.jpg", + "qS14bF26IO0_processed/frame_055.jpg", + "qS14bF26IO0_processed/frame_056.jpg", + "qS14bF26IO0_processed/frame_057.jpg", + "qS14bF26IO0_processed/frame_058.jpg", + "qS14bF26IO0_processed/frame_059.jpg", + "qS14bF26IO0_processed/frame_060.jpg", + "qS14bF26IO0_processed/frame_061.jpg", + "qS14bF26IO0_processed/frame_062.jpg", + "qS14bF26IO0_processed/frame_063.jpg", + "qS14bF26IO0_processed/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video features two men dining on ramen, evaluating it as they sit at a table. One man wears a black jacket, while the other has long hair. They use paper towels to clear their bowls after finishing their meal." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0021", + "input": { + "video_file_list": [ + "YN2URsx8gIs/frame_001.jpg", + "YN2URsx8gIs/frame_002.jpg", + "YN2URsx8gIs/frame_003.jpg", + "YN2URsx8gIs/frame_004.jpg", + "YN2URsx8gIs/frame_005.jpg", + "YN2URsx8gIs/frame_006.jpg", + "YN2URsx8gIs/frame_007.jpg", + "YN2URsx8gIs/frame_008.jpg", + "YN2URsx8gIs/frame_009.jpg", + "YN2URsx8gIs/frame_010.jpg", + "YN2URsx8gIs/frame_011.jpg", + "YN2URsx8gIs/frame_012.jpg", + "YN2URsx8gIs/frame_013.jpg", + "YN2URsx8gIs/frame_014.jpg", + "YN2URsx8gIs/frame_015.jpg", + "YN2URsx8gIs/frame_016.jpg", + "YN2URsx8gIs/frame_017.jpg", + "YN2URsx8gIs/frame_018.jpg", + "YN2URsx8gIs/frame_019.jpg", + "YN2URsx8gIs/frame_020.jpg", + "YN2URsx8gIs/frame_021.jpg", + "YN2URsx8gIs/frame_022.jpg", + "YN2URsx8gIs/frame_023.jpg", + "YN2URsx8gIs/frame_024.jpg", + "YN2URsx8gIs/frame_025.jpg", + "YN2URsx8gIs/frame_026.jpg", + "YN2URsx8gIs/frame_027.jpg", + "YN2URsx8gIs/frame_028.jpg", + "YN2URsx8gIs/frame_029.jpg", + "YN2URsx8gIs/frame_030.jpg", + "YN2URsx8gIs/frame_031.jpg", + "YN2URsx8gIs/frame_032.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman eating fried chicken and a sandwich, drinking soda, and also consuming a piece of bread at a table with others. It concludes with an image of the KFC logo on a red background." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0006", + "input": { + "video_file_list": [ + "u0GSFSvWDG4/frame_001.jpg", + "u0GSFSvWDG4/frame_002.jpg", + "u0GSFSvWDG4/frame_003.jpg", + "u0GSFSvWDG4/frame_004.jpg", + "u0GSFSvWDG4/frame_005.jpg", + "u0GSFSvWDG4/frame_006.jpg", + "u0GSFSvWDG4/frame_007.jpg", + "u0GSFSvWDG4/frame_008.jpg", + "u0GSFSvWDG4/frame_009.jpg", + "u0GSFSvWDG4/frame_010.jpg", + "u0GSFSvWDG4/frame_011.jpg", + "u0GSFSvWDG4/frame_012.jpg", + "u0GSFSvWDG4/frame_013.jpg", + "u0GSFSvWDG4/frame_014.jpg", + "u0GSFSvWDG4/frame_015.jpg", + "u0GSFSvWDG4/frame_016.jpg", + "u0GSFSvWDG4/frame_017.jpg", + "u0GSFSvWDG4/frame_018.jpg", + "u0GSFSvWDG4/frame_019.jpg", + "u0GSFSvWDG4/frame_020.jpg", + "u0GSFSvWDG4/frame_021.jpg", + "u0GSFSvWDG4/frame_022.jpg", + "u0GSFSvWDG4/frame_023.jpg", + "u0GSFSvWDG4/frame_024.jpg", + "u0GSFSvWDG4/frame_025.jpg", + "u0GSFSvWDG4/frame_026.jpg", + "u0GSFSvWDG4/frame_027.jpg", + "u0GSFSvWDG4/frame_028.jpg", + "u0GSFSvWDG4/frame_029.jpg", + "u0GSFSvWDG4/frame_030.jpg", + "u0GSFSvWDG4/frame_031.jpg", + "u0GSFSvWDG4/frame_032.jpg", + "u0GSFSvWDG4/frame_033.jpg", + "u0GSFSvWDG4/frame_034.jpg", + "u0GSFSvWDG4/frame_035.jpg", + "u0GSFSvWDG4/frame_036.jpg", + "u0GSFSvWDG4/frame_037.jpg", + "u0GSFSvWDG4/frame_038.jpg", + "u0GSFSvWDG4/frame_039.jpg", + "u0GSFSvWDG4/frame_040.jpg", + "u0GSFSvWDG4/frame_041.jpg", + "u0GSFSvWDG4/frame_042.jpg", + "u0GSFSvWDG4/frame_043.jpg", + "u0GSFSvWDG4/frame_044.jpg", + "u0GSFSvWDG4/frame_045.jpg", + "u0GSFSvWDG4/frame_046.jpg", + "u0GSFSvWDG4/frame_047.jpg", + "u0GSFSvWDG4/frame_048.jpg", + "u0GSFSvWDG4/frame_049.jpg", + "u0GSFSvWDG4/frame_050.jpg", + "u0GSFSvWDG4/frame_051.jpg", + "u0GSFSvWDG4/frame_052.jpg", + "u0GSFSvWDG4/frame_053.jpg", + "u0GSFSvWDG4/frame_054.jpg", + "u0GSFSvWDG4/frame_055.jpg", + "u0GSFSvWDG4/frame_056.jpg", + "u0GSFSvWDG4/frame_057.jpg", + "u0GSFSvWDG4/frame_058.jpg", + "u0GSFSvWDG4/frame_059.jpg", + "u0GSFSvWDG4/frame_060.jpg", + "u0GSFSvWDG4/frame_061.jpg", + "u0GSFSvWDG4/frame_062.jpg", + "u0GSFSvWDG4/frame_063.jpg", + "u0GSFSvWDG4/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a man dining with friends at a restaurant, savoring dishes like shrimp and lobster. He is wearing an apron and holds up food for the camera." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0001", + "input": { + "video_file_list": [ + "iN8BYY09AOU/frame_001.jpg", + "iN8BYY09AOU/frame_002.jpg", + "iN8BYY09AOU/frame_003.jpg", + "iN8BYY09AOU/frame_004.jpg", + "iN8BYY09AOU/frame_005.jpg", + "iN8BYY09AOU/frame_006.jpg", + "iN8BYY09AOU/frame_007.jpg", + "iN8BYY09AOU/frame_008.jpg", + "iN8BYY09AOU/frame_009.jpg", + "iN8BYY09AOU/frame_010.jpg", + "iN8BYY09AOU/frame_011.jpg", + "iN8BYY09AOU/frame_012.jpg", + "iN8BYY09AOU/frame_013.jpg", + "iN8BYY09AOU/frame_014.jpg", + "iN8BYY09AOU/frame_015.jpg", + "iN8BYY09AOU/frame_016.jpg", + "iN8BYY09AOU/frame_017.jpg", + "iN8BYY09AOU/frame_018.jpg", + "iN8BYY09AOU/frame_019.jpg", + "iN8BYY09AOU/frame_020.jpg", + "iN8BYY09AOU/frame_021.jpg", + "iN8BYY09AOU/frame_022.jpg", + "iN8BYY09AOU/frame_023.jpg", + "iN8BYY09AOU/frame_024.jpg", + "iN8BYY09AOU/frame_025.jpg", + "iN8BYY09AOU/frame_026.jpg", + "iN8BYY09AOU/frame_027.jpg", + "iN8BYY09AOU/frame_028.jpg", + "iN8BYY09AOU/frame_029.jpg", + "iN8BYY09AOU/frame_030.jpg", + "iN8BYY09AOU/frame_031.jpg", + "iN8BYY09AOU/frame_032.jpg", + "iN8BYY09AOU/frame_033.jpg", + "iN8BYY09AOU/frame_034.jpg", + "iN8BYY09AOU/frame_035.jpg", + "iN8BYY09AOU/frame_036.jpg", + "iN8BYY09AOU/frame_037.jpg", + "iN8BYY09AOU/frame_038.jpg", + "iN8BYY09AOU/frame_039.jpg", + "iN8BYY09AOU/frame_040.jpg", + "iN8BYY09AOU/frame_041.jpg", + "iN8BYY09AOU/frame_042.jpg", + "iN8BYY09AOU/frame_043.jpg", + "iN8BYY09AOU/frame_044.jpg", + "iN8BYY09AOU/frame_045.jpg", + "iN8BYY09AOU/frame_046.jpg", + "iN8BYY09AOU/frame_047.jpg", + "iN8BYY09AOU/frame_048.jpg", + "iN8BYY09AOU/frame_049.jpg", + "iN8BYY09AOU/frame_050.jpg", + "iN8BYY09AOU/frame_051.jpg", + "iN8BYY09AOU/frame_052.jpg", + "iN8BYY09AOU/frame_053.jpg", + "iN8BYY09AOU/frame_054.jpg", + "iN8BYY09AOU/frame_055.jpg", + "iN8BYY09AOU/frame_056.jpg", + "iN8BYY09AOU/frame_057.jpg", + "iN8BYY09AOU/frame_058.jpg", + "iN8BYY09AOU/frame_059.jpg", + "iN8BYY09AOU/frame_060.jpg", + "iN8BYY09AOU/frame_061.jpg", + "iN8BYY09AOU/frame_062.jpg", + "iN8BYY09AOU/frame_063.jpg", + "iN8BYY09AOU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts people eating various foods, such as eggs and noodles. One individual is shown consuming a meal from a bowl, while another holds a bowl of eggs. Additionally, a woman is seen eating a bowl of food outdoors in the snow." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0000", + "input": { + "video_file_list": [ + "TjNgrAUrnZU/frame_001.jpg", + "TjNgrAUrnZU/frame_002.jpg", + "TjNgrAUrnZU/frame_003.jpg", + "TjNgrAUrnZU/frame_004.jpg", + "TjNgrAUrnZU/frame_005.jpg", + "TjNgrAUrnZU/frame_006.jpg", + "TjNgrAUrnZU/frame_007.jpg", + "TjNgrAUrnZU/frame_008.jpg", + "TjNgrAUrnZU/frame_009.jpg", + "TjNgrAUrnZU/frame_010.jpg", + "TjNgrAUrnZU/frame_011.jpg", + "TjNgrAUrnZU/frame_012.jpg", + "TjNgrAUrnZU/frame_013.jpg", + "TjNgrAUrnZU/frame_014.jpg", + "TjNgrAUrnZU/frame_015.jpg", + "TjNgrAUrnZU/frame_016.jpg", + "TjNgrAUrnZU/frame_017.jpg", + "TjNgrAUrnZU/frame_018.jpg", + "TjNgrAUrnZU/frame_019.jpg", + "TjNgrAUrnZU/frame_020.jpg", + "TjNgrAUrnZU/frame_021.jpg", + "TjNgrAUrnZU/frame_022.jpg", + "TjNgrAUrnZU/frame_023.jpg", + "TjNgrAUrnZU/frame_024.jpg", + "TjNgrAUrnZU/frame_025.jpg", + "TjNgrAUrnZU/frame_026.jpg", + "TjNgrAUrnZU/frame_027.jpg", + "TjNgrAUrnZU/frame_028.jpg", + "TjNgrAUrnZU/frame_029.jpg", + "TjNgrAUrnZU/frame_030.jpg", + "TjNgrAUrnZU/frame_031.jpg", + "TjNgrAUrnZU/frame_032.jpg", + "TjNgrAUrnZU/frame_033.jpg", + "TjNgrAUrnZU/frame_034.jpg", + "TjNgrAUrnZU/frame_035.jpg", + "TjNgrAUrnZU/frame_036.jpg", + "TjNgrAUrnZU/frame_037.jpg", + "TjNgrAUrnZU/frame_038.jpg", + "TjNgrAUrnZU/frame_039.jpg", + "TjNgrAUrnZU/frame_040.jpg", + "TjNgrAUrnZU/frame_041.jpg", + "TjNgrAUrnZU/frame_042.jpg", + "TjNgrAUrnZU/frame_043.jpg", + "TjNgrAUrnZU/frame_044.jpg", + "TjNgrAUrnZU/frame_045.jpg", + "TjNgrAUrnZU/frame_046.jpg", + "TjNgrAUrnZU/frame_047.jpg", + "TjNgrAUrnZU/frame_048.jpg", + "TjNgrAUrnZU/frame_049.jpg", + "TjNgrAUrnZU/frame_050.jpg", + "TjNgrAUrnZU/frame_051.jpg", + "TjNgrAUrnZU/frame_052.jpg", + "TjNgrAUrnZU/frame_053.jpg", + "TjNgrAUrnZU/frame_054.jpg", + "TjNgrAUrnZU/frame_055.jpg", + "TjNgrAUrnZU/frame_056.jpg", + "TjNgrAUrnZU/frame_057.jpg", + "TjNgrAUrnZU/frame_058.jpg", + "TjNgrAUrnZU/frame_059.jpg", + "TjNgrAUrnZU/frame_060.jpg", + "TjNgrAUrnZU/frame_061.jpg", + "TjNgrAUrnZU/frame_062.jpg", + "TjNgrAUrnZU/frame_063.jpg", + "TjNgrAUrnZU/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman preparing a drink by chopping fruit and mixing it with other ingredients. The drink is subsequently served to children at a table." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0007", + "input": { + "video_file_list": [ + "DmUgQzu3Z4U/frame_001.jpg", + "DmUgQzu3Z4U/frame_002.jpg", + "DmUgQzu3Z4U/frame_003.jpg", + "DmUgQzu3Z4U/frame_004.jpg", + "DmUgQzu3Z4U/frame_005.jpg", + "DmUgQzu3Z4U/frame_006.jpg", + "DmUgQzu3Z4U/frame_007.jpg", + "DmUgQzu3Z4U/frame_008.jpg", + "DmUgQzu3Z4U/frame_009.jpg", + "DmUgQzu3Z4U/frame_010.jpg", + "DmUgQzu3Z4U/frame_011.jpg", + "DmUgQzu3Z4U/frame_012.jpg", + "DmUgQzu3Z4U/frame_013.jpg", + "DmUgQzu3Z4U/frame_014.jpg", + "DmUgQzu3Z4U/frame_015.jpg", + "DmUgQzu3Z4U/frame_016.jpg", + "DmUgQzu3Z4U/frame_017.jpg", + "DmUgQzu3Z4U/frame_018.jpg", + "DmUgQzu3Z4U/frame_019.jpg", + "DmUgQzu3Z4U/frame_020.jpg", + "DmUgQzu3Z4U/frame_021.jpg", + "DmUgQzu3Z4U/frame_022.jpg", + "DmUgQzu3Z4U/frame_023.jpg", + "DmUgQzu3Z4U/frame_024.jpg", + "DmUgQzu3Z4U/frame_025.jpg", + "DmUgQzu3Z4U/frame_026.jpg", + "DmUgQzu3Z4U/frame_027.jpg", + "DmUgQzu3Z4U/frame_028.jpg", + "DmUgQzu3Z4U/frame_029.jpg", + "DmUgQzu3Z4U/frame_030.jpg", + "DmUgQzu3Z4U/frame_031.jpg", + "DmUgQzu3Z4U/frame_032.jpg", + "DmUgQzu3Z4U/frame_033.jpg", + "DmUgQzu3Z4U/frame_034.jpg", + "DmUgQzu3Z4U/frame_035.jpg", + "DmUgQzu3Z4U/frame_036.jpg", + "DmUgQzu3Z4U/frame_037.jpg", + "DmUgQzu3Z4U/frame_038.jpg", + "DmUgQzu3Z4U/frame_039.jpg", + "DmUgQzu3Z4U/frame_040.jpg", + "DmUgQzu3Z4U/frame_041.jpg", + "DmUgQzu3Z4U/frame_042.jpg", + "DmUgQzu3Z4U/frame_043.jpg", + "DmUgQzu3Z4U/frame_044.jpg", + "DmUgQzu3Z4U/frame_045.jpg", + "DmUgQzu3Z4U/frame_046.jpg", + "DmUgQzu3Z4U/frame_047.jpg", + "DmUgQzu3Z4U/frame_048.jpg", + "DmUgQzu3Z4U/frame_049.jpg", + "DmUgQzu3Z4U/frame_050.jpg", + "DmUgQzu3Z4U/frame_051.jpg", + "DmUgQzu3Z4U/frame_052.jpg", + "DmUgQzu3Z4U/frame_053.jpg", + "DmUgQzu3Z4U/frame_054.jpg", + "DmUgQzu3Z4U/frame_055.jpg", + "DmUgQzu3Z4U/frame_056.jpg", + "DmUgQzu3Z4U/frame_057.jpg", + "DmUgQzu3Z4U/frame_058.jpg", + "DmUgQzu3Z4U/frame_059.jpg", + "DmUgQzu3Z4U/frame_060.jpg", + "DmUgQzu3Z4U/frame_061.jpg", + "DmUgQzu3Z4U/frame_062.jpg", + "DmUgQzu3Z4U/frame_063.jpg", + "DmUgQzu3Z4U/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video shows a man and a woman getting their faces painted while seated. The man wears a blue shirt and the woman a pink one. Various items like a bowl of noodles, a bottle of mouthwash, and a plate of food are also visible." + } + }, + { + "id": "vc_closeset_foodvideocaptioning_0017", + "input": { + "video_file_list": [ + "ebFwtm1hUWM/frame_001.jpg", + "ebFwtm1hUWM/frame_002.jpg", + "ebFwtm1hUWM/frame_003.jpg", + "ebFwtm1hUWM/frame_004.jpg", + "ebFwtm1hUWM/frame_005.jpg", + "ebFwtm1hUWM/frame_006.jpg", + "ebFwtm1hUWM/frame_007.jpg", + "ebFwtm1hUWM/frame_008.jpg", + "ebFwtm1hUWM/frame_009.jpg", + "ebFwtm1hUWM/frame_010.jpg", + "ebFwtm1hUWM/frame_011.jpg", + "ebFwtm1hUWM/frame_012.jpg", + "ebFwtm1hUWM/frame_013.jpg", + "ebFwtm1hUWM/frame_014.jpg", + "ebFwtm1hUWM/frame_015.jpg", + "ebFwtm1hUWM/frame_016.jpg", + "ebFwtm1hUWM/frame_017.jpg", + "ebFwtm1hUWM/frame_018.jpg", + "ebFwtm1hUWM/frame_019.jpg", + "ebFwtm1hUWM/frame_020.jpg", + "ebFwtm1hUWM/frame_021.jpg", + "ebFwtm1hUWM/frame_022.jpg", + "ebFwtm1hUWM/frame_023.jpg", + "ebFwtm1hUWM/frame_024.jpg", + "ebFwtm1hUWM/frame_025.jpg", + "ebFwtm1hUWM/frame_026.jpg", + "ebFwtm1hUWM/frame_027.jpg", + "ebFwtm1hUWM/frame_028.jpg", + "ebFwtm1hUWM/frame_029.jpg", + "ebFwtm1hUWM/frame_030.jpg", + "ebFwtm1hUWM/frame_031.jpg", + "ebFwtm1hUWM/frame_032.jpg", + "ebFwtm1hUWM/frame_033.jpg", + "ebFwtm1hUWM/frame_034.jpg", + "ebFwtm1hUWM/frame_035.jpg", + "ebFwtm1hUWM/frame_036.jpg", + "ebFwtm1hUWM/frame_037.jpg", + "ebFwtm1hUWM/frame_038.jpg", + "ebFwtm1hUWM/frame_039.jpg", + "ebFwtm1hUWM/frame_040.jpg", + "ebFwtm1hUWM/frame_041.jpg", + "ebFwtm1hUWM/frame_042.jpg", + "ebFwtm1hUWM/frame_043.jpg", + "ebFwtm1hUWM/frame_044.jpg", + "ebFwtm1hUWM/frame_045.jpg", + "ebFwtm1hUWM/frame_046.jpg", + "ebFwtm1hUWM/frame_047.jpg", + "ebFwtm1hUWM/frame_048.jpg", + "ebFwtm1hUWM/frame_049.jpg", + "ebFwtm1hUWM/frame_050.jpg", + "ebFwtm1hUWM/frame_051.jpg", + "ebFwtm1hUWM/frame_052.jpg", + "ebFwtm1hUWM/frame_053.jpg", + "ebFwtm1hUWM/frame_054.jpg", + "ebFwtm1hUWM/frame_055.jpg", + "ebFwtm1hUWM/frame_056.jpg", + "ebFwtm1hUWM/frame_057.jpg", + "ebFwtm1hUWM/frame_058.jpg", + "ebFwtm1hUWM/frame_059.jpg", + "ebFwtm1hUWM/frame_060.jpg", + "ebFwtm1hUWM/frame_061.jpg", + "ebFwtm1hUWM/frame_062.jpg", + "ebFwtm1hUWM/frame_063.jpg", + "ebFwtm1hUWM/frame_064.jpg" + ], + "prompt": "Please write a brief caption based on the video content." + }, + "output": { + "text": "The video depicts a woman eating with chopsticks at a table among others, while a man holds a plate of food. She is shown consuming a piece of meat." + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/VideoSportsRecognition/annotation.json b/Scope-A/S-A-Quick/video/comprehension/VideoSportsRecognition/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..2df8d3639959d8ab0fc1ea91639b58dd6873d232 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/VideoSportsRecognition/annotation.json @@ -0,0 +1,766 @@ +{ + "task": "VideoSportsRecognition", + "data_source": "VideoMME", + "type": "video comprehension", + "modality": { + "in": [ + "video", + "text" + ], + "out": "text" + }, + "version": "1.0", + "data": [ + { + "id": "vc_closeset_videosportsrecognition_0000", + "input": { + "video_file_list": [ + "sDWOsWawxPc/0.jpg", + "sDWOsWawxPc/1.jpg", + "sDWOsWawxPc/2.jpg", + "sDWOsWawxPc/3.jpg", + "sDWOsWawxPc/4.jpg", + "sDWOsWawxPc/5.jpg", + "sDWOsWawxPc/6.jpg", + "sDWOsWawxPc/7.jpg", + "sDWOsWawxPc/8.jpg", + "sDWOsWawxPc/9.jpg", + "sDWOsWawxPc/10.jpg", + "sDWOsWawxPc/11.jpg", + "sDWOsWawxPc/12.jpg", + "sDWOsWawxPc/13.jpg", + "sDWOsWawxPc/14.jpg", + "sDWOsWawxPc/15.jpg", + "sDWOsWawxPc/16.jpg", + "sDWOsWawxPc/17.jpg", + "sDWOsWawxPc/18.jpg", + "sDWOsWawxPc/19.jpg", + "sDWOsWawxPc/20.jpg", + "sDWOsWawxPc/21.jpg", + "sDWOsWawxPc/22.jpg", + "sDWOsWawxPc/23.jpg", + "sDWOsWawxPc/24.jpg", + "sDWOsWawxPc/25.jpg", + "sDWOsWawxPc/26.jpg", + "sDWOsWawxPc/27.jpg", + "sDWOsWawxPc/28.jpg", + "sDWOsWawxPc/29.jpg", + "sDWOsWawxPc/30.jpg", + "sDWOsWawxPc/31.jpg", + "sDWOsWawxPc/32.jpg", + "sDWOsWawxPc/33.jpg", + "sDWOsWawxPc/34.jpg", + "sDWOsWawxPc/35.jpg", + "sDWOsWawxPc/36.jpg", + "sDWOsWawxPc/37.jpg", + "sDWOsWawxPc/38.jpg", + "sDWOsWawxPc/39.jpg", + "sDWOsWawxPc/40.jpg", + "sDWOsWawxPc/41.jpg", + "sDWOsWawxPc/42.jpg", + "sDWOsWawxPc/43.jpg", + "sDWOsWawxPc/44.jpg", + "sDWOsWawxPc/45.jpg", + "sDWOsWawxPc/46.jpg", + "sDWOsWawxPc/47.jpg", + "sDWOsWawxPc/48.jpg", + "sDWOsWawxPc/49.jpg", + "sDWOsWawxPc/50.jpg", + "sDWOsWawxPc/51.jpg", + "sDWOsWawxPc/52.jpg", + "sDWOsWawxPc/53.jpg", + "sDWOsWawxPc/54.jpg", + "sDWOsWawxPc/55.jpg", + "sDWOsWawxPc/56.jpg", + "sDWOsWawxPc/57.jpg", + "sDWOsWawxPc/58.jpg", + "sDWOsWawxPc/59.jpg", + "sDWOsWawxPc/60.jpg", + "sDWOsWawxPc/61.jpg", + "sDWOsWawxPc/62.jpg", + "sDWOsWawxPc/63.jpg" + ], + "prompt": "How many times did champions break world records in the matches shown in the video?\nA. 6.\nB. 5.\nC. 4.\nD. 3." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0051", + "input": { + "video_file_list": [ + "SrqTAg6n798/0.jpg", + "SrqTAg6n798/1.jpg", + "SrqTAg6n798/2.jpg", + "SrqTAg6n798/3.jpg", + "SrqTAg6n798/4.jpg", + "SrqTAg6n798/5.jpg", + "SrqTAg6n798/6.jpg", + "SrqTAg6n798/7.jpg", + "SrqTAg6n798/8.jpg", + "SrqTAg6n798/9.jpg", + "SrqTAg6n798/10.jpg", + "SrqTAg6n798/11.jpg", + "SrqTAg6n798/12.jpg", + "SrqTAg6n798/13.jpg", + "SrqTAg6n798/14.jpg", + "SrqTAg6n798/15.jpg", + "SrqTAg6n798/16.jpg", + "SrqTAg6n798/17.jpg", + "SrqTAg6n798/18.jpg", + "SrqTAg6n798/19.jpg", + "SrqTAg6n798/20.jpg", + "SrqTAg6n798/21.jpg", + "SrqTAg6n798/22.jpg", + "SrqTAg6n798/23.jpg", + "SrqTAg6n798/24.jpg", + "SrqTAg6n798/25.jpg", + "SrqTAg6n798/26.jpg", + "SrqTAg6n798/27.jpg", + "SrqTAg6n798/28.jpg", + "SrqTAg6n798/29.jpg", + "SrqTAg6n798/30.jpg", + "SrqTAg6n798/31.jpg", + "SrqTAg6n798/32.jpg", + "SrqTAg6n798/33.jpg", + "SrqTAg6n798/34.jpg", + "SrqTAg6n798/35.jpg", + "SrqTAg6n798/36.jpg", + "SrqTAg6n798/37.jpg", + "SrqTAg6n798/38.jpg", + "SrqTAg6n798/39.jpg", + "SrqTAg6n798/40.jpg", + "SrqTAg6n798/41.jpg", + "SrqTAg6n798/42.jpg", + "SrqTAg6n798/43.jpg", + "SrqTAg6n798/44.jpg", + "SrqTAg6n798/45.jpg", + "SrqTAg6n798/46.jpg", + "SrqTAg6n798/47.jpg", + "SrqTAg6n798/48.jpg", + "SrqTAg6n798/49.jpg", + "SrqTAg6n798/50.jpg", + "SrqTAg6n798/51.jpg", + "SrqTAg6n798/52.jpg", + "SrqTAg6n798/53.jpg", + "SrqTAg6n798/54.jpg", + "SrqTAg6n798/55.jpg", + "SrqTAg6n798/56.jpg", + "SrqTAg6n798/57.jpg", + "SrqTAg6n798/58.jpg", + "SrqTAg6n798/59.jpg", + "SrqTAg6n798/60.jpg", + "SrqTAg6n798/61.jpg", + "SrqTAg6n798/62.jpg", + "SrqTAg6n798/63.jpg" + ], + "prompt": "In the video, which jump earned the highest score for the champion pair in the women's synchronized ten-meter high platform diving competition?\nA. The third jump.\nB. The fourth jump.\nC. The fifth jump.\nD. The first jump." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0053", + "input": { + "video_file_list": [ + "YcU9d-RPEog/0.jpg", + "YcU9d-RPEog/1.jpg", + "YcU9d-RPEog/2.jpg", + "YcU9d-RPEog/3.jpg", + "YcU9d-RPEog/4.jpg", + "YcU9d-RPEog/5.jpg", + "YcU9d-RPEog/6.jpg", + "YcU9d-RPEog/7.jpg", + "YcU9d-RPEog/8.jpg", + "YcU9d-RPEog/9.jpg", + "YcU9d-RPEog/10.jpg", + "YcU9d-RPEog/11.jpg", + "YcU9d-RPEog/12.jpg", + "YcU9d-RPEog/13.jpg", + "YcU9d-RPEog/14.jpg", + "YcU9d-RPEog/15.jpg", + "YcU9d-RPEog/16.jpg", + "YcU9d-RPEog/17.jpg", + "YcU9d-RPEog/18.jpg", + "YcU9d-RPEog/19.jpg", + "YcU9d-RPEog/20.jpg", + "YcU9d-RPEog/21.jpg", + "YcU9d-RPEog/22.jpg", + "YcU9d-RPEog/23.jpg", + "YcU9d-RPEog/24.jpg", + "YcU9d-RPEog/25.jpg", + "YcU9d-RPEog/26.jpg", + "YcU9d-RPEog/27.jpg", + "YcU9d-RPEog/28.jpg", + "YcU9d-RPEog/29.jpg", + "YcU9d-RPEog/30.jpg", + "YcU9d-RPEog/31.jpg", + "YcU9d-RPEog/32.jpg", + "YcU9d-RPEog/33.jpg", + "YcU9d-RPEog/34.jpg", + "YcU9d-RPEog/35.jpg", + "YcU9d-RPEog/36.jpg", + "YcU9d-RPEog/37.jpg", + "YcU9d-RPEog/38.jpg", + "YcU9d-RPEog/39.jpg", + "YcU9d-RPEog/40.jpg", + "YcU9d-RPEog/41.jpg", + "YcU9d-RPEog/42.jpg", + "YcU9d-RPEog/43.jpg", + "YcU9d-RPEog/44.jpg", + "YcU9d-RPEog/45.jpg", + "YcU9d-RPEog/46.jpg", + "YcU9d-RPEog/47.jpg", + "YcU9d-RPEog/48.jpg", + "YcU9d-RPEog/49.jpg", + "YcU9d-RPEog/50.jpg", + "YcU9d-RPEog/51.jpg", + "YcU9d-RPEog/52.jpg", + "YcU9d-RPEog/53.jpg", + "YcU9d-RPEog/54.jpg", + "YcU9d-RPEog/55.jpg", + "YcU9d-RPEog/56.jpg", + "YcU9d-RPEog/57.jpg", + "YcU9d-RPEog/58.jpg", + "YcU9d-RPEog/59.jpg", + "YcU9d-RPEog/60.jpg", + "YcU9d-RPEog/61.jpg", + "YcU9d-RPEog/62.jpg", + "YcU9d-RPEog/63.jpg" + ], + "prompt": "Which lane does the player start in at the beginning of the game?\nA. Top.\nB. Jungle.\nC. Mid.\nD. Bottom." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0059", + "input": { + "video_file_list": [ + "g8UiXbc19og/0.jpg", + "g8UiXbc19og/1.jpg", + "g8UiXbc19og/2.jpg", + "g8UiXbc19og/3.jpg", + "g8UiXbc19og/4.jpg", + "g8UiXbc19og/5.jpg", + "g8UiXbc19og/6.jpg", + "g8UiXbc19og/7.jpg", + "g8UiXbc19og/8.jpg", + "g8UiXbc19og/9.jpg", + "g8UiXbc19og/10.jpg", + "g8UiXbc19og/11.jpg", + "g8UiXbc19og/12.jpg", + "g8UiXbc19og/13.jpg", + "g8UiXbc19og/14.jpg", + "g8UiXbc19og/15.jpg", + "g8UiXbc19og/16.jpg", + "g8UiXbc19og/17.jpg", + "g8UiXbc19og/18.jpg", + "g8UiXbc19og/19.jpg", + "g8UiXbc19og/20.jpg", + "g8UiXbc19og/21.jpg", + "g8UiXbc19og/22.jpg", + "g8UiXbc19og/23.jpg", + "g8UiXbc19og/24.jpg", + "g8UiXbc19og/25.jpg", + "g8UiXbc19og/26.jpg", + "g8UiXbc19og/27.jpg", + "g8UiXbc19og/28.jpg", + "g8UiXbc19og/29.jpg", + "g8UiXbc19og/30.jpg", + "g8UiXbc19og/31.jpg", + "g8UiXbc19og/32.jpg", + "g8UiXbc19og/33.jpg", + "g8UiXbc19og/34.jpg", + "g8UiXbc19og/35.jpg", + "g8UiXbc19og/36.jpg", + "g8UiXbc19og/37.jpg", + "g8UiXbc19og/38.jpg", + "g8UiXbc19og/39.jpg", + "g8UiXbc19og/40.jpg", + "g8UiXbc19og/41.jpg", + "g8UiXbc19og/42.jpg", + "g8UiXbc19og/43.jpg", + "g8UiXbc19og/44.jpg", + "g8UiXbc19og/45.jpg", + "g8UiXbc19og/46.jpg", + "g8UiXbc19og/47.jpg", + "g8UiXbc19og/48.jpg", + "g8UiXbc19og/49.jpg", + "g8UiXbc19og/50.jpg", + "g8UiXbc19og/51.jpg", + "g8UiXbc19og/52.jpg", + "g8UiXbc19og/53.jpg", + "g8UiXbc19og/54.jpg", + "g8UiXbc19og/55.jpg", + "g8UiXbc19og/56.jpg", + "g8UiXbc19og/57.jpg", + "g8UiXbc19og/58.jpg", + "g8UiXbc19og/59.jpg", + "g8UiXbc19og/60.jpg", + "g8UiXbc19og/61.jpg", + "g8UiXbc19og/62.jpg", + "g8UiXbc19og/63.jpg" + ], + "prompt": "Why did the Canadian athlete suddenly collapse during the game?\nA. His thigh suddenly hurt possibly due to a muscle strain.\nB. He suffered a sudden cramp in his hand, causing him to lose balance.\nC. He experienced a sudden heart attack.\nD. His ankle got injured and caused a sudden loss of balance." + }, + "output": { + "text": "A" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0016", + "input": { + "video_file_list": [ + "hQYRDNl-lGI/0.jpg", + "hQYRDNl-lGI/1.jpg", + "hQYRDNl-lGI/2.jpg", + "hQYRDNl-lGI/3.jpg", + "hQYRDNl-lGI/4.jpg", + "hQYRDNl-lGI/5.jpg", + "hQYRDNl-lGI/6.jpg", + "hQYRDNl-lGI/7.jpg", + "hQYRDNl-lGI/8.jpg", + "hQYRDNl-lGI/9.jpg", + "hQYRDNl-lGI/10.jpg", + "hQYRDNl-lGI/11.jpg", + "hQYRDNl-lGI/12.jpg", + "hQYRDNl-lGI/13.jpg", + "hQYRDNl-lGI/14.jpg", + "hQYRDNl-lGI/15.jpg", + "hQYRDNl-lGI/16.jpg", + "hQYRDNl-lGI/17.jpg", + "hQYRDNl-lGI/18.jpg", + "hQYRDNl-lGI/19.jpg", + "hQYRDNl-lGI/20.jpg", + "hQYRDNl-lGI/21.jpg", + "hQYRDNl-lGI/22.jpg", + "hQYRDNl-lGI/23.jpg", + "hQYRDNl-lGI/24.jpg", + "hQYRDNl-lGI/25.jpg", + "hQYRDNl-lGI/26.jpg", + "hQYRDNl-lGI/27.jpg", + "hQYRDNl-lGI/28.jpg", + "hQYRDNl-lGI/29.jpg", + "hQYRDNl-lGI/30.jpg", + "hQYRDNl-lGI/31.jpg", + "hQYRDNl-lGI/32.jpg", + "hQYRDNl-lGI/33.jpg", + "hQYRDNl-lGI/34.jpg", + "hQYRDNl-lGI/35.jpg", + "hQYRDNl-lGI/36.jpg", + "hQYRDNl-lGI/37.jpg", + "hQYRDNl-lGI/38.jpg", + "hQYRDNl-lGI/39.jpg", + "hQYRDNl-lGI/40.jpg", + "hQYRDNl-lGI/41.jpg", + "hQYRDNl-lGI/42.jpg", + "hQYRDNl-lGI/43.jpg", + "hQYRDNl-lGI/44.jpg", + "hQYRDNl-lGI/45.jpg", + "hQYRDNl-lGI/46.jpg", + "hQYRDNl-lGI/47.jpg", + "hQYRDNl-lGI/48.jpg", + "hQYRDNl-lGI/49.jpg", + "hQYRDNl-lGI/50.jpg", + "hQYRDNl-lGI/51.jpg", + "hQYRDNl-lGI/52.jpg", + "hQYRDNl-lGI/53.jpg", + "hQYRDNl-lGI/54.jpg", + "hQYRDNl-lGI/55.jpg", + "hQYRDNl-lGI/56.jpg", + "hQYRDNl-lGI/57.jpg", + "hQYRDNl-lGI/58.jpg", + "hQYRDNl-lGI/59.jpg", + "hQYRDNl-lGI/60.jpg", + "hQYRDNl-lGI/61.jpg", + "hQYRDNl-lGI/62.jpg", + "hQYRDNl-lGI/63.jpg" + ], + "prompt": "What is the color of the car that is first to start in the race?\nA. Red.\nB. Black.\nC. Yellow.\nD. White." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0048", + "input": { + "video_file_list": [ + "aKLobzbLxuY/0.jpg", + "aKLobzbLxuY/1.jpg", + "aKLobzbLxuY/2.jpg", + "aKLobzbLxuY/3.jpg", + "aKLobzbLxuY/4.jpg", + "aKLobzbLxuY/5.jpg", + "aKLobzbLxuY/6.jpg", + "aKLobzbLxuY/7.jpg", + "aKLobzbLxuY/8.jpg", + "aKLobzbLxuY/9.jpg", + "aKLobzbLxuY/10.jpg", + "aKLobzbLxuY/11.jpg", + "aKLobzbLxuY/12.jpg", + "aKLobzbLxuY/13.jpg", + "aKLobzbLxuY/14.jpg", + "aKLobzbLxuY/15.jpg", + "aKLobzbLxuY/16.jpg", + "aKLobzbLxuY/17.jpg", + "aKLobzbLxuY/18.jpg", + "aKLobzbLxuY/19.jpg", + "aKLobzbLxuY/20.jpg", + "aKLobzbLxuY/21.jpg", + "aKLobzbLxuY/22.jpg", + "aKLobzbLxuY/23.jpg", + "aKLobzbLxuY/24.jpg", + "aKLobzbLxuY/25.jpg", + "aKLobzbLxuY/26.jpg", + "aKLobzbLxuY/27.jpg", + "aKLobzbLxuY/28.jpg", + "aKLobzbLxuY/29.jpg", + "aKLobzbLxuY/30.jpg", + "aKLobzbLxuY/31.jpg", + "aKLobzbLxuY/32.jpg", + "aKLobzbLxuY/33.jpg", + "aKLobzbLxuY/34.jpg", + "aKLobzbLxuY/35.jpg", + "aKLobzbLxuY/36.jpg", + "aKLobzbLxuY/37.jpg", + "aKLobzbLxuY/38.jpg", + "aKLobzbLxuY/39.jpg", + "aKLobzbLxuY/40.jpg", + "aKLobzbLxuY/41.jpg", + "aKLobzbLxuY/42.jpg", + "aKLobzbLxuY/43.jpg", + "aKLobzbLxuY/44.jpg", + "aKLobzbLxuY/45.jpg", + "aKLobzbLxuY/46.jpg", + "aKLobzbLxuY/47.jpg", + "aKLobzbLxuY/48.jpg", + "aKLobzbLxuY/49.jpg", + "aKLobzbLxuY/50.jpg", + "aKLobzbLxuY/51.jpg", + "aKLobzbLxuY/52.jpg", + "aKLobzbLxuY/53.jpg", + "aKLobzbLxuY/54.jpg", + "aKLobzbLxuY/55.jpg", + "aKLobzbLxuY/56.jpg", + "aKLobzbLxuY/57.jpg", + "aKLobzbLxuY/58.jpg", + "aKLobzbLxuY/59.jpg", + "aKLobzbLxuY/60.jpg", + "aKLobzbLxuY/61.jpg", + "aKLobzbLxuY/62.jpg", + "aKLobzbLxuY/63.jpg" + ], + "prompt": "How would you evaluate the FA Cup final match between Chelsea and Liverpool according to the video?\nA. A high-scoring game with many goals during regular play.\nB. A defensive game that was decided by a penalty shoot-out.\nC. A match dominated by Chelsea but eventually lost in extra time.\nD. An easy victory for Liverpool with minimal challenge from Chelsea." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0050", + "input": { + "video_file_list": [ + "S_5vlPXLCRc/0.jpg", + "S_5vlPXLCRc/1.jpg", + "S_5vlPXLCRc/2.jpg", + "S_5vlPXLCRc/3.jpg", + "S_5vlPXLCRc/4.jpg", + "S_5vlPXLCRc/5.jpg", + "S_5vlPXLCRc/6.jpg", + "S_5vlPXLCRc/7.jpg", + "S_5vlPXLCRc/8.jpg", + "S_5vlPXLCRc/9.jpg", + "S_5vlPXLCRc/10.jpg", + "S_5vlPXLCRc/11.jpg", + "S_5vlPXLCRc/12.jpg", + "S_5vlPXLCRc/13.jpg", + "S_5vlPXLCRc/14.jpg", + "S_5vlPXLCRc/15.jpg", + "S_5vlPXLCRc/16.jpg", + "S_5vlPXLCRc/17.jpg", + "S_5vlPXLCRc/18.jpg", + "S_5vlPXLCRc/19.jpg", + "S_5vlPXLCRc/20.jpg", + "S_5vlPXLCRc/21.jpg", + "S_5vlPXLCRc/22.jpg", + "S_5vlPXLCRc/23.jpg", + "S_5vlPXLCRc/24.jpg", + "S_5vlPXLCRc/25.jpg", + "S_5vlPXLCRc/26.jpg", + "S_5vlPXLCRc/27.jpg", + "S_5vlPXLCRc/28.jpg", + "S_5vlPXLCRc/29.jpg", + "S_5vlPXLCRc/30.jpg", + "S_5vlPXLCRc/31.jpg", + "S_5vlPXLCRc/32.jpg", + "S_5vlPXLCRc/33.jpg", + "S_5vlPXLCRc/34.jpg", + "S_5vlPXLCRc/35.jpg", + "S_5vlPXLCRc/36.jpg", + "S_5vlPXLCRc/37.jpg", + "S_5vlPXLCRc/38.jpg", + "S_5vlPXLCRc/39.jpg", + "S_5vlPXLCRc/40.jpg", + "S_5vlPXLCRc/41.jpg", + "S_5vlPXLCRc/42.jpg", + "S_5vlPXLCRc/43.jpg", + "S_5vlPXLCRc/44.jpg", + "S_5vlPXLCRc/45.jpg", + "S_5vlPXLCRc/46.jpg", + "S_5vlPXLCRc/47.jpg", + "S_5vlPXLCRc/48.jpg", + "S_5vlPXLCRc/49.jpg", + "S_5vlPXLCRc/50.jpg", + "S_5vlPXLCRc/51.jpg", + "S_5vlPXLCRc/52.jpg", + "S_5vlPXLCRc/53.jpg", + "S_5vlPXLCRc/54.jpg", + "S_5vlPXLCRc/55.jpg", + "S_5vlPXLCRc/56.jpg", + "S_5vlPXLCRc/57.jpg", + "S_5vlPXLCRc/58.jpg", + "S_5vlPXLCRc/59.jpg", + "S_5vlPXLCRc/60.jpg", + "S_5vlPXLCRc/61.jpg", + "S_5vlPXLCRc/62.jpg", + "S_5vlPXLCRc/63.jpg" + ], + "prompt": "How about the pick strategy of team T1 as shown in the video?\nA. It is difficult for them to get an advantage at the beginning of the game.\nB. They should avoid battle at the beginning of the game.\nC. They are formidable at the beginning of this game.\nD. It is easy for them to win the game when they step into the late stage of the game." + }, + "output": { + "text": "C" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0005", + "input": { + "video_file_list": [ + "U9-Qy3H_UBY/0.jpg", + "U9-Qy3H_UBY/1.jpg", + "U9-Qy3H_UBY/2.jpg", + "U9-Qy3H_UBY/3.jpg", + "U9-Qy3H_UBY/4.jpg", + "U9-Qy3H_UBY/5.jpg", + "U9-Qy3H_UBY/6.jpg", + "U9-Qy3H_UBY/7.jpg", + "U9-Qy3H_UBY/8.jpg", + "U9-Qy3H_UBY/9.jpg", + "U9-Qy3H_UBY/10.jpg", + "U9-Qy3H_UBY/11.jpg", + "U9-Qy3H_UBY/12.jpg", + "U9-Qy3H_UBY/13.jpg", + "U9-Qy3H_UBY/14.jpg", + "U9-Qy3H_UBY/15.jpg", + "U9-Qy3H_UBY/16.jpg", + "U9-Qy3H_UBY/17.jpg", + "U9-Qy3H_UBY/18.jpg", + "U9-Qy3H_UBY/19.jpg", + "U9-Qy3H_UBY/20.jpg", + "U9-Qy3H_UBY/21.jpg", + "U9-Qy3H_UBY/22.jpg", + "U9-Qy3H_UBY/23.jpg", + "U9-Qy3H_UBY/24.jpg", + "U9-Qy3H_UBY/25.jpg", + "U9-Qy3H_UBY/26.jpg", + "U9-Qy3H_UBY/27.jpg", + "U9-Qy3H_UBY/28.jpg", + "U9-Qy3H_UBY/29.jpg", + "U9-Qy3H_UBY/30.jpg", + "U9-Qy3H_UBY/31.jpg", + "U9-Qy3H_UBY/32.jpg", + "U9-Qy3H_UBY/33.jpg", + "U9-Qy3H_UBY/34.jpg", + "U9-Qy3H_UBY/35.jpg", + "U9-Qy3H_UBY/36.jpg", + "U9-Qy3H_UBY/37.jpg", + "U9-Qy3H_UBY/38.jpg", + "U9-Qy3H_UBY/39.jpg", + "U9-Qy3H_UBY/40.jpg", + "U9-Qy3H_UBY/41.jpg", + "U9-Qy3H_UBY/42.jpg", + "U9-Qy3H_UBY/43.jpg", + "U9-Qy3H_UBY/44.jpg", + "U9-Qy3H_UBY/45.jpg", + "U9-Qy3H_UBY/46.jpg", + "U9-Qy3H_UBY/47.jpg", + "U9-Qy3H_UBY/48.jpg", + "U9-Qy3H_UBY/49.jpg", + "U9-Qy3H_UBY/50.jpg", + "U9-Qy3H_UBY/51.jpg", + "U9-Qy3H_UBY/52.jpg", + "U9-Qy3H_UBY/53.jpg", + "U9-Qy3H_UBY/54.jpg", + "U9-Qy3H_UBY/55.jpg", + "U9-Qy3H_UBY/56.jpg", + "U9-Qy3H_UBY/57.jpg", + "U9-Qy3H_UBY/58.jpg", + "U9-Qy3H_UBY/59.jpg", + "U9-Qy3H_UBY/60.jpg", + "U9-Qy3H_UBY/61.jpg", + "U9-Qy3H_UBY/62.jpg", + "U9-Qy3H_UBY/63.jpg" + ], + "prompt": "What does this video document?\nA. The first day of moving with friends.\nB. The first day of being a college basketball player.\nC. Attending a basketball game with the team.\nD. The first day of coaching the basketball team." + }, + "output": { + "text": "B" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0012", + "input": { + "video_file_list": [ + "UIX6f0xMQ2U/0.jpg", + "UIX6f0xMQ2U/1.jpg", + "UIX6f0xMQ2U/2.jpg", + "UIX6f0xMQ2U/3.jpg", + "UIX6f0xMQ2U/4.jpg", + "UIX6f0xMQ2U/5.jpg", + "UIX6f0xMQ2U/6.jpg", + "UIX6f0xMQ2U/7.jpg", + "UIX6f0xMQ2U/8.jpg", + "UIX6f0xMQ2U/9.jpg", + "UIX6f0xMQ2U/10.jpg", + "UIX6f0xMQ2U/11.jpg", + "UIX6f0xMQ2U/12.jpg", + "UIX6f0xMQ2U/13.jpg", + "UIX6f0xMQ2U/14.jpg", + "UIX6f0xMQ2U/15.jpg", + "UIX6f0xMQ2U/16.jpg", + "UIX6f0xMQ2U/17.jpg", + "UIX6f0xMQ2U/18.jpg", + "UIX6f0xMQ2U/19.jpg", + "UIX6f0xMQ2U/20.jpg", + "UIX6f0xMQ2U/21.jpg", + "UIX6f0xMQ2U/22.jpg", + "UIX6f0xMQ2U/23.jpg", + "UIX6f0xMQ2U/24.jpg", + "UIX6f0xMQ2U/25.jpg", + "UIX6f0xMQ2U/26.jpg", + "UIX6f0xMQ2U/27.jpg", + "UIX6f0xMQ2U/28.jpg", + "UIX6f0xMQ2U/29.jpg", + "UIX6f0xMQ2U/30.jpg", + "UIX6f0xMQ2U/31.jpg", + "UIX6f0xMQ2U/32.jpg", + "UIX6f0xMQ2U/33.jpg", + "UIX6f0xMQ2U/34.jpg", + "UIX6f0xMQ2U/35.jpg", + "UIX6f0xMQ2U/36.jpg", + "UIX6f0xMQ2U/37.jpg", + "UIX6f0xMQ2U/38.jpg", + "UIX6f0xMQ2U/39.jpg", + "UIX6f0xMQ2U/40.jpg", + "UIX6f0xMQ2U/41.jpg", + "UIX6f0xMQ2U/42.jpg", + "UIX6f0xMQ2U/43.jpg", + "UIX6f0xMQ2U/44.jpg", + "UIX6f0xMQ2U/45.jpg", + "UIX6f0xMQ2U/46.jpg", + "UIX6f0xMQ2U/47.jpg", + "UIX6f0xMQ2U/48.jpg", + "UIX6f0xMQ2U/49.jpg", + "UIX6f0xMQ2U/50.jpg", + "UIX6f0xMQ2U/51.jpg", + "UIX6f0xMQ2U/52.jpg", + "UIX6f0xMQ2U/53.jpg", + "UIX6f0xMQ2U/54.jpg", + "UIX6f0xMQ2U/55.jpg", + "UIX6f0xMQ2U/56.jpg", + "UIX6f0xMQ2U/57.jpg", + "UIX6f0xMQ2U/58.jpg", + "UIX6f0xMQ2U/59.jpg", + "UIX6f0xMQ2U/60.jpg", + "UIX6f0xMQ2U/61.jpg", + "UIX6f0xMQ2U/62.jpg", + "UIX6f0xMQ2U/63.jpg" + ], + "prompt": "Where and when was the longest jump in the video set?\nA. Rome 2018.\nB. Shanghai 2018.\nC. Lodon 2017.\nD. Shanghai 2017." + }, + "output": { + "text": "D" + } + }, + { + "id": "vc_closeset_videosportsrecognition_0020", + "input": { + "video_file_list": [ + "GV5CuB4zPTY/0.jpg", + "GV5CuB4zPTY/1.jpg", + "GV5CuB4zPTY/2.jpg", + "GV5CuB4zPTY/3.jpg", + "GV5CuB4zPTY/4.jpg", + "GV5CuB4zPTY/5.jpg", + "GV5CuB4zPTY/6.jpg", + "GV5CuB4zPTY/7.jpg", + "GV5CuB4zPTY/8.jpg", + "GV5CuB4zPTY/9.jpg", + "GV5CuB4zPTY/10.jpg", + "GV5CuB4zPTY/11.jpg", + "GV5CuB4zPTY/12.jpg", + "GV5CuB4zPTY/13.jpg", + "GV5CuB4zPTY/14.jpg", + "GV5CuB4zPTY/15.jpg", + "GV5CuB4zPTY/16.jpg", + "GV5CuB4zPTY/17.jpg", + "GV5CuB4zPTY/18.jpg", + "GV5CuB4zPTY/19.jpg", + "GV5CuB4zPTY/20.jpg", + "GV5CuB4zPTY/21.jpg", + "GV5CuB4zPTY/22.jpg", + "GV5CuB4zPTY/23.jpg", + "GV5CuB4zPTY/24.jpg", + "GV5CuB4zPTY/25.jpg", + "GV5CuB4zPTY/26.jpg", + "GV5CuB4zPTY/27.jpg", + "GV5CuB4zPTY/28.jpg", + "GV5CuB4zPTY/29.jpg", + "GV5CuB4zPTY/30.jpg", + "GV5CuB4zPTY/31.jpg", + "GV5CuB4zPTY/32.jpg", + "GV5CuB4zPTY/33.jpg", + "GV5CuB4zPTY/34.jpg", + "GV5CuB4zPTY/35.jpg", + "GV5CuB4zPTY/36.jpg", + "GV5CuB4zPTY/37.jpg", + "GV5CuB4zPTY/38.jpg", + "GV5CuB4zPTY/39.jpg", + "GV5CuB4zPTY/40.jpg", + "GV5CuB4zPTY/41.jpg", + "GV5CuB4zPTY/42.jpg", + "GV5CuB4zPTY/43.jpg", + "GV5CuB4zPTY/44.jpg", + "GV5CuB4zPTY/45.jpg", + "GV5CuB4zPTY/46.jpg", + "GV5CuB4zPTY/47.jpg", + "GV5CuB4zPTY/48.jpg", + "GV5CuB4zPTY/49.jpg", + "GV5CuB4zPTY/50.jpg", + "GV5CuB4zPTY/51.jpg", + "GV5CuB4zPTY/52.jpg", + "GV5CuB4zPTY/53.jpg", + "GV5CuB4zPTY/54.jpg", + "GV5CuB4zPTY/55.jpg", + "GV5CuB4zPTY/56.jpg", + "GV5CuB4zPTY/57.jpg", + "GV5CuB4zPTY/58.jpg", + "GV5CuB4zPTY/59.jpg", + "GV5CuB4zPTY/60.jpg", + "GV5CuB4zPTY/61.jpg", + "GV5CuB4zPTY/62.jpg", + "GV5CuB4zPTY/63.jpg" + ], + "prompt": "Which is the correct characteristic of Shaw, the player from Britain who is wearing black shirts and pants?\nA. He is right-handed.\nB. He has a beer belly.\nC. He wins the second round.\nD. He has black hair." + }, + "output": { + "text": "B" + } + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/WhiteWaterTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/WhiteWaterTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5474307a11c96f6180c5d33b5b847306dfb2be9a --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/WhiteWaterTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, under water video, white_water", + "data_source": "UTB180", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot0672", + "input": { + "video_folder": "./images/0672", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0515", + "input": { + "video_folder": "./images/0515", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0514", + "input": { + "video_folder": "./images/0514", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0531", + "input": { + "video_folder": "./images/0531", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot0594", + "input": { + "video_folder": "./images/0594", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/comprehension/YellowWaterTrack/annotation.json b/Scope-A/S-A-Quick/video/comprehension/YellowWaterTrack/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..acc824b97e3a387bbe97432267b2578fb3f74648 --- /dev/null +++ b/Scope-A/S-A-Quick/video/comprehension/YellowWaterTrack/annotation.json @@ -0,0 +1,58 @@ +{ + "task": "video object tracking, under water video, yellow_water", + "data_source": "UTB180", + "type": "comprehension", + "modality": { + "in": [ + "image", + "text" + ], + "out": [ + "text" + ] + }, + "version": 1.0, + "data": [ + { + "id": "vt_vot1883", + "input": { + "video_folder": "./images/1883", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1910", + "input": { + "video_folder": "./images/1910", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1473", + "input": { + "video_folder": "./images/1473", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1476", + "input": { + "video_folder": "./images/1476", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + }, + { + "id": "vt_vot1563", + "input": { + "video_folder": "./images/1563", + "prompt": "Please tracking the object within red box in image 1." + }, + "output": {} + } + ], + "set_type": "closeset" +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ActionT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ActionT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..bd93a137888c7c2bd747a77ae25b89fa90166600 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ActionT2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Action T2V", + "data_source": "Kinetics700", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ac_397", + "input": { + "image": "./images/397.jpg", + "prompt": "An up-close look at the fa\u00e7ade of an office building, highlighting a symmetrical arrangement of windows and a vivid reflection of the surrounding landscape." + } + }, + { + "id": "ac_331", + "input": { + "image": "./images/331.jpg", + "prompt": "A tight gravel walkway between brick edifices, with a series of steps going up, and the path is decorated with pots of various flowering plants." + } + }, + { + "id": "ac_255", + "input": { + "image": "./images/255.jpg", + "prompt": "" + } + }, + { + "id": "ac_59", + "input": { + "image": "./images/59.jpg", + "prompt": "A glimpse of a park, seen through an oval window." + } + }, + { + "id": "ac_151", + "input": { + "image": "./images/151.jpg", + "prompt": "A series of contemporary office structures with wide glass panels, surrounded by a partly cloudy sky." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Sports" + ], + "general_capability": [ + "Physical Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ArchitectureI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ArchitectureI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..d68c55769fc999fc153e57b4c58e12502092d347 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ArchitectureI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Architecture I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ar_311", + "input": { + "image": "./images/311.jpg", + "prompt": "a close-up of a curved, textured surface with a pattern of horizontal lines" + } + }, + { + "id": "ar_28", + "input": { + "image": "./images/28.jpg", + "prompt": "a close-up of a building with a geometric design, featuring a dark gray facade and a white sky in the background" + } + }, + { + "id": "ar_7", + "input": { + "image": "./images/7.jpg", + "prompt": "An intimate shot of a pale, undulating surface, which could be a curtain or a piece of fabric." + } + }, + { + "id": "ar_268", + "input": { + "image": "./images/268.jpg", + "prompt": "An up-close shot of an office building with a series of rectangular vents along its wall." + } + }, + { + "id": "ar_220", + "input": { + "image": "./images/220.jpg", + "prompt": "a close-up view of a white cable bridge with a metal framework, set against a cloudy sky" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Engineering" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ArtisticT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ArtisticT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c546baa328e46af7da3250aae8d54a42dedde5b0 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ArtisticT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Artistic T2V", + "data_source": "laion-aesthetics", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ar_432", + "input": { + "prompt": "A mermaid swimming in the ocean, animated style." + } + }, + { + "id": "ar_452", + "input": { + "prompt": "Mist shrouded dense forests hug and conceal winding valleys." + } + }, + { + "id": "ar_418", + "input": { + "prompt": "A chef preparing a gourmet meal by Escoffier, in the style of classical French cuisine." + } + }, + { + "id": "ar_63", + "input": { + "prompt": "A couple in formal evening wear going home get caught in a heavy downpour with umbrellas, Van Gogh style" + } + }, + { + "id": "ar_57", + "input": { + "prompt": "A boat sailing leisurely along the Seine River with the Eiffel Tower in background, black and white" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Art" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/AthleticsT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/AthleticsT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a919247cf6e482db2d0599e5729152481b42eb2d --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/AthleticsT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Athletics T2V", + "data_source": "UCF101", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "at_327", + "input": { + "prompt": "A leaf spiraling to the ground, captured amidst a backdrop of towering trees." + } + }, + { + "id": "at_9", + "input": { + "prompt": "A high-speed slow-motion of a pole vaulter flipping over the bar, capturing the height and grace." + } + }, + { + "id": "at_186", + "input": { + "prompt": "A high jumper clearing the bar with agility and power." + } + }, + { + "id": "at_109", + "input": { + "prompt": "An exaggerated speed recording of a swimmer slicing through water." + } + }, + { + "id": "at_249", + "input": { + "prompt": "A gymnast in mid-twirl, performing a flawless aerial flip." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Sports" + ], + "general_capability": [ + "Physical Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/BackgroundConsistencyT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/BackgroundConsistencyT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e7f6c3a4627336540acbe01c07dce6244deb8de2 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/BackgroundConsistencyT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Background Consistency T2V", + "data_source": "Repurposed(VBench)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ba_458", + "input": { + "prompt": "A station wagon brimming with sports equipment outside a stadium." + } + }, + { + "id": "ba_119", + "input": { + "prompt": "Singles wandering in the garden during the golden hour." + } + }, + { + "id": "ba_262", + "input": { + "prompt": "A fox trotting through a rural field." + } + }, + { + "id": "ba_26", + "input": { + "prompt": "A diver exploring a vibrant coral reef" + } + }, + { + "id": "ba_360", + "input": { + "prompt": "A motorcycle pulled up in front of an elegant mansion." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/CameraMotionT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/CameraMotionT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b42840502679d1a89e1fa737ff0b99182e1d0ee1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/CameraMotionT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Camera Motion T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ca_194", + "input": { + "prompt": "A seagull is flying over the waves, zoom out." + } + }, + { + "id": "ca_197", + "input": { + "prompt": "A whale is surfacing in the ocean, pan down." + } + }, + { + "id": "ca_216", + "input": { + "prompt": "A dolphin is leaping through the water, showcasing a dynamic and fluid perspective." + } + }, + { + "id": "ca_101", + "input": { + "prompt": "A bustling city street at dawn, early morning traffic moving slowly, filmed in super slow motion." + } + }, + { + "id": "ca_47", + "input": { + "prompt": "A cute happy Corgi playing in park, sunset, with an intense shaking effect" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Spatial Awareness" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ClassConditionedT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ClassConditionedT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7f8ba10e3a720c9ba14f64f79dbcb5780a64679c --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ClassConditionedT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Class Conditioned T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "cl_195", + "input": { + "prompt": "a suitcase" + } + }, + { + "id": "cl_199", + "input": { + "prompt": "A raincoat" + } + }, + { + "id": "cl_18", + "input": { + "prompt": "a sheep" + } + }, + { + "id": "cl_68", + "input": { + "prompt": "an oven" + } + }, + { + "id": "cl_23", + "input": { + "prompt": "a giraffe" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ClothI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ClothI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a8ec7ec632898f39e2d8e95696f65368038f097b --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ClothI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Cloth I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "cl_394", + "input": { + "image": "./images/394.jpg", + "prompt": "A bunch of washed denim jackets with a leather patch on the outermost piece." + } + }, + { + "id": "cl_242", + "input": { + "image": "./images/242.jpg", + "prompt": "A collection of jewelry at a fine jeweler, with a focus on a sparkling purple sapphire ring and a simple white gold band." + } + }, + { + "id": "cl_437", + "input": { + "image": "./images/437.jpg", + "prompt": "A plain background featuring a line of hats hung up." + } + }, + { + "id": "cl_4", + "input": { + "image": "./images/4.jpg", + "prompt": "A cabinet with yellow shoes arranged neatly." + } + }, + { + "id": "cl_119", + "input": { + "image": "./images/119.jpg", + "prompt": "A room with a rack of clothes, potted plants, and a person standing in front of the plants" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Daily" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ColorT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ColorT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..30c8346c067d8084b76be795b876bf7997c28821 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ColorT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Color T2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "co_221", + "input": { + "prompt": "a white rabbit" + } + }, + { + "id": "co_271", + "input": { + "prompt": "a white purse" + } + }, + { + "id": "co_61", + "input": { + "prompt": "a yellow chair" + } + }, + { + "id": "co_188", + "input": { + "prompt": "a blue butterfly" + } + }, + { + "id": "co_424", + "input": { + "prompt": "A blue vase" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/ConcertT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/ConcertT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..838fe1881460e8bbd71c4936cef46f087ac92714 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/ConcertT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Concert T2V", + "data_source": "UCF101", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "co_123", + "input": { + "prompt": "A flutist in a grand concert hall, delicately playing a piece with deep emotion." + } + }, + { + "id": "co_446", + "input": { + "prompt": "An artist painting a vibrant scene, inspiring those who watch with their creativity." + } + }, + { + "id": "co_185", + "input": { + "prompt": "A painter at an ancient Indian festival, surrounded by vivid hues and artistic expressions." + } + }, + { + "id": "co_267", + "input": { + "prompt": "A flutist in a secluded chamber, blowing a dreamy and ghostly tune." + } + }, + { + "id": "co_143", + "input": { + "prompt": "A jazz pianist in a dynamic club, playing passionately for a spirited audience." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Sports" + ], + "general_capability": [ + "Physical Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/DynamicT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/DynamicT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..512d490e7289da9ff449af7294e689b6eaddf8b9 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/DynamicT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Dynamic T2V", + "data_source": "Repurposed(VBench)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "dy_80", + "input": { + "prompt": "A polar bear is playing guitar" + } + }, + { + "id": "dy_431", + "input": { + "prompt": "A squirrel wearing a tuxedo performing a ballet routine, spotlight background." + } + }, + { + "id": "dy_37", + "input": { + "prompt": "An astronaut is riding a horse in the space in a photorealistic style." + } + }, + { + "id": "dy_149", + "input": { + "prompt": "A dynamic drawing of twinkling stars twinkling in the night sky." + } + }, + { + "id": "dy_417", + "input": { + "prompt": "A digital art gallery, showcasing interactive installations." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/FoodI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/FoodI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..09d50c22a4dbaf0d70ecb0399ca99d7bf0ead2a4 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/FoodI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Food I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "fo_382", + "input": { + "image": "./images/382.jpg", + "prompt": "A baker kneading dough on a cutting board." + } + }, + { + "id": "fo_294", + "input": { + "image": "./images/294.jpg", + "prompt": "Someone is frying fish in a skillet on the cooktop." + } + }, + { + "id": "fo_101", + "input": { + "image": "./images/101.jpg", + "prompt": "Someone is frying fish in a skillet on the cooktop." + } + }, + { + "id": "fo_141", + "input": { + "image": "./images/141.jpg", + "prompt": "A baker holding a spatula over a tray of baking cookies." + } + }, + { + "id": "fo_215", + "input": { + "image": "./images/215.jpg", + "prompt": "a pan filled with fried food" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Daily" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/FurnitureI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/FurnitureI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5af5eb9cb14741062585795dfe6281841a5a8dde --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/FurnitureI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Furniture I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "fu_165", + "input": { + "image": "./images/165.jpg", + "prompt": "A cozy living room with a sectional sofa, a wooden coffee table, and a large area rug on the floor." + } + }, + { + "id": "fu_341", + "input": { + "image": "./images/341.jpg", + "prompt": "A bright kitchen with white cabinets, stainless steel appliances, and a large window letting in natural light." + } + }, + { + "id": "fu_263", + "input": { + "image": "./images/263.jpg", + "prompt": "A modern kitchen with stainless steel appliances, a marble countertop, and a wooden island." + } + }, + { + "id": "fu_471", + "input": { + "image": "./images/471.jpg", + "prompt": "A modern office with a wooden desk, a comfortable chair, and a bookshelf full of work-related materials." + } + }, + { + "id": "fu_143", + "input": { + "image": "./images/143.jpg", + "prompt": "A contemporary study room with a wooden desk, a comfortable chair, and shelves full of books." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Daily" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/HumanI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/HumanI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0773e00fd4c5a47833c17d7df648a9a7bd7d7dda --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/HumanI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Human I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "hu_2", + "input": { + "image": "./images/2.jpg", + "prompt": "A child wearing a sweater is reaching for a cookie jar." + } + }, + { + "id": "hu_488", + "input": { + "image": "./images/488.jpg", + "prompt": "A boy with a devil face paint smoking a pipe and holding a flute." + } + }, + { + "id": "hu_375", + "input": { + "image": "./images/375.jpg", + "prompt": "an older woman sitting in front of an old building" + } + }, + { + "id": "hu_74", + "input": { + "image": "./images/74.jpg", + "prompt": "Two siblings kayaking on the river." + } + }, + { + "id": "hu_256", + "input": { + "image": "./images/256.jpg", + "prompt": "Three women in blue dresses standing side by side." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Humanities" + ], + "general_capability": [ + "Human Motion Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/HumanT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/HumanT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1ee8ac50439f286c273930b87b909df36b0f23b8 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/HumanT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Human T2V", + "data_source": "Repurposed (Pandas70M)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "hu_402", + "input": { + "prompt": "A pastry chef adding vanilla extract to a blender." + } + }, + { + "id": "hu_418", + "input": { + "prompt": "A teenager is playing games on a touchscreen phone." + } + }, + { + "id": "hu_329", + "input": { + "prompt": "A cyclist is pedaling through a rugged mountain trail." + } + }, + { + "id": "hu_188", + "input": { + "prompt": "A captured scene from a game where a figure is standing atop a towering structure." + } + }, + { + "id": "hu_8", + "input": { + "prompt": "A person is cooking food in a pot on a stove." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Humanities" + ], + "general_capability": [ + "Human Motion Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/MaterialT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/MaterialT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..36eb9f22707cdb0e18f227b103f587ba00e75d11 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/MaterialT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Material T2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ma_160", + "input": { + "prompt": "A shelf crafted from wood." + } + }, + { + "id": "ma_269", + "input": { + "prompt": "A table constructed of glass." + } + }, + { + "id": "ma_193", + "input": { + "prompt": "A mirror with a glass surface." + } + }, + { + "id": "ma_101", + "input": { + "prompt": "A carving fashioned from ivory." + } + }, + { + "id": "ma_210", + "input": { + "prompt": "A cup made of glass." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/MultiClassConditionedT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/MultiClassConditionedT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..4a55370947e5e1d0bedd9a2a3e6b71a3b115eda1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/MultiClassConditionedT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Multi Class Conditioned T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "mu_385", + "input": { + "prompt": "A bird and a cage." + } + }, + { + "id": "mu_519", + "input": { + "prompt": "" + } + }, + { + "id": "mu_550", + "input": { + "prompt": "A rabbit and inline skates" + } + }, + { + "id": "mu_66", + "input": { + "prompt": "a cat and a microwave" + } + }, + { + "id": "mu_357", + "input": { + "prompt": "A mouse and a cheese" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/PetI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/PetI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..fa67c6528ccd6eca052c0a5b8c66d2cd60d68f09 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/PetI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Pet I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "pe_203", + "input": { + "image": "./images/203.jpg", + "prompt": "An artist is seated on a weathered wooden bench, observing the vibrant hues of a stunning sunrise with her pet cat curled up beside her." + } + }, + { + "id": "pe_9", + "input": { + "image": "./images/9.jpg", + "prompt": "A playful fox with red fur and white patches is sprinting through the forest." + } + }, + { + "id": "pe_113", + "input": { + "image": "./images/113.jpg", + "prompt": "A rabbit is sitting upright with its ears raised high, peering intently at the lens." + } + }, + { + "id": "pe_95", + "input": { + "image": "./images/95.jpg", + "prompt": "A gentle rabbit is dozing on a floor with a printed rug." + } + }, + { + "id": "pe_216", + "input": { + "image": "./images/216.jpg", + "prompt": "A woman in a green blouse is cuddling a parrot, and they are perched on a tree branch." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Animal" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/PlantI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/PlantI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..9ff054c144542fb44d3351b8bc36433c630ce1ab --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/PlantI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Plant I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "pl_389", + "input": { + "image": "./images/389.jpg", + "prompt": "A dense hedge runs along the garden border, its green leaves neatly trimmed." + } + }, + { + "id": "pl_55", + "input": { + "image": "./images/55.jpg", + "prompt": "A hanging pot filled with trailing ivy adorns the balcony." + } + }, + { + "id": "pl_107", + "input": { + "image": "./images/107.jpg", + "prompt": "A delicate vine of jasmine winds around the wooden trellis." + } + }, + { + "id": "pl_9", + "input": { + "image": "./images/9.jpg", + "prompt": "A dragonfly resting on the tip of a tall reed." + } + }, + { + "id": "pl_361", + "input": { + "image": "./images/361.jpg", + "prompt": "A cluster of bright red tulips is swaying in the gentle breeze." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Biology" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/PortraitVideoStyleTransfer/annotation.json b/Scope-A/S-A-Quick/video/generation/PortraitVideoStyleTransfer/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..abee699c1e1ccbc1f57bfac074f01e2ac1f4577c --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/PortraitVideoStyleTransfer/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_334", + "input": { + "image": "./images/331.jpg", + "prompt": "A woman is sitting on a wooden chair, reading a book, and looking out a window with raindrops falling" + } + }, + { + "id": "we_201", + "input": { + "image": "./images/203.jpg", + "prompt": "A foggy dawn with mist clinging to the ground, and the outline of a forest can be seen." + } + }, + { + "id": "we_135", + "input": { + "image": "./images/137.jpg", + "prompt": "A woman jogging through the rain along a busy avenue." + } + }, + { + "id": "we_77", + "input": { + "image": "./images/77.jpg", + "prompt": "A spectacular sky filled with thunderbolts, framed by a dark profile of a rugged cliff." + } + }, + { + "id": "we_496", + "input": { + "image": "./images/496.jpg", + "prompt": "A team of hikers gathered at the summit of a snowy mountain." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/RealWorldVideoSuperresolution/annotation.json b/Scope-A/S-A-Quick/video/generation/RealWorldVideoSuperresolution/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..c6b8b4e042ebd081e738d70d93ee0e731faa721f --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/RealWorldVideoSuperresolution/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_299", + "input": { + "image": "./images/289.jpg", + "prompt": "A flock of black and white seagulls soaring over a calm ocean." + } + }, + { + "id": "we_56", + "input": { + "image": "./images/56.jpg", + "prompt": "A bustling city square filled with people and street vendors, seen through a foggy museum window." + } + }, + { + "id": "we_465", + "input": { + "image": "./images/465.jpg", + "prompt": "A forest with many cabins nestled at the base of a mountain." + } + }, + { + "id": "we_317", + "input": { + "image": "./images/307.jpg", + "prompt": "a beautiful sunset with a mix of orange, pink, and blue hues in the sky" + } + }, + { + "id": "we_60", + "input": { + "image": "./images/60.jpg", + "prompt": "a dramatic sky with dark clouds and a bright sun, creating a contrast between the dark and light areas, and the ocean below is calm and reflective" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/RoadSceneVideoSuperresolution/annotation.json b/Scope-A/S-A-Quick/video/generation/RoadSceneVideoSuperresolution/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6d60317cca1d6f66e4fec267ab7ee2dbb6ad2db0 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/RoadSceneVideoSuperresolution/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_151", + "input": { + "image": "./images/153.jpg", + "prompt": "A breathtaking view of a snow-capped mountain range against a clear blue sky." + } + }, + { + "id": "we_351", + "input": { + "image": "./images/351.jpg", + "prompt": "A towering wildfire with smoke plumes in the background, over a charred landscape." + } + }, + { + "id": "we_450", + "input": { + "image": "./images/450.jpg", + "prompt": "The moon is rising above a forest at dawn." + } + }, + { + "id": "we_164", + "input": { + "image": "./images/166.jpg", + "prompt": "A snow-capped mountain peak, with a valley and forests in the foreground." + } + }, + { + "id": "we_326", + "input": { + "image": "./images/316.jpg", + "prompt": "An artist positioned on a cliff edge by a waterfall, contemplating the veil of mist in front of him." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/SceneI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/SceneI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f6764a96a2937bfa505944c92e63e6a646a14010 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/SceneI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Scene I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "sc_376", + "input": { + "image": "./images/376.jpg", + "prompt": "A valley surrounded by dense forests and cascading waterfalls." + } + }, + { + "id": "sc_110", + "input": { + "image": "./images/110.jpg", + "prompt": "san francisco skyline at sunset" + } + }, + { + "id": "sc_198", + "input": { + "image": "./images/198.jpg", + "prompt": "A detailed look at a coral polyp in the ocean." + } + }, + { + "id": "sc_382", + "input": { + "image": "./images/382.jpg", + "prompt": "A green truck navigating through a dusty path at dusk." + } + }, + { + "id": "sc_387", + "input": { + "image": "./images/387.jpg", + "prompt": "A bird's-eye perspective of a river and a beachside area." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Art" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/SceneT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/SceneT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..a263d3e0f5b22c28ebaf0758ce40579dee90fd47 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/SceneT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Scene T2V", + "data_source": "laion-aesthetics", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "sc_239", + "input": { + "prompt": "" + } + }, + { + "id": "sc_517", + "input": { + "prompt": "dock" + } + }, + { + "id": "sc_338", + "input": { + "prompt": "estate" + } + }, + { + "id": "sc_311", + "input": { + "prompt": "recreational park" + } + }, + { + "id": "sc_349", + "input": { + "prompt": "valley" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/SpatialRelationT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/SpatialRelationT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..018a0ccd53fd8bfdd558f11f193c11d258893aba --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/SpatialRelationT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Spatial Relation T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "sp_445", + "input": { + "prompt": "A pen beside a notepad, front view." + } + }, + { + "id": "sp_301", + "input": { + "prompt": "A dishwasher on top of a sink, front view." + } + }, + { + "id": "sp_176", + "input": { + "prompt": "A lion on the left of a zebra, front view." + } + }, + { + "id": "sp_410", + "input": { + "prompt": "A balloon floating above a bicycle, side view." + } + }, + { + "id": "sp_190", + "input": { + "prompt": "A bowl to the right of a spoon, front view." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Spatial Awareness" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/StaticT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/StaticT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..619953fa44bb8f51370d3cc4a144966c08678c7e --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/StaticT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Static T2V", + "data_source": "Repurposed(VBench)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "st_76", + "input": { + "prompt": "In a still frame, a vintage gas lantern, adorned with intricate details, gracing a historic cobblestone square" + } + }, + { + "id": "st_83", + "input": { + "prompt": "A tranquil tableau of in the quaint village square, a traditional wrought-iron streetlamp featured delicate filigree patterns and amber-hued glass panels" + } + }, + { + "id": "st_309", + "input": { + "prompt": "A tranquil snapshot of a sunrise." + } + }, + { + "id": "st_206", + "input": { + "prompt": "A serene scene of a vase" + } + }, + { + "id": "st_180", + "input": { + "prompt": "A calm vista of mountain peaks." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/StyleT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/StyleT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..5a98f14c6dacf0ab7e652ecf3369d7bec75f5067 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/StyleT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Style T2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "st_254", + "input": { + "prompt": "A fluffy joyful Pomeranian running through a meadow, twilight, in cyberpunk style." + } + }, + { + "id": "st_452", + "input": { + "prompt": "Mist shrouded dense forests hug and conceal winding valleys." + } + }, + { + "id": "st_305", + "input": { + "prompt": "Aunt May gardening, surrealism style." + } + }, + { + "id": "st_209", + "input": { + "prompt": "A deer grazing in a forest in Hiroshima by Hokusai, in the style of Ukiyo." + } + }, + { + "id": "st_45", + "input": { + "prompt": "Gwen Stacy reading a book, Van Gogh style" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Art" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationMultipleReference/annotation.json b/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationMultipleReference/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..0a2a284afe9cad2d09cacdaacb14fcfdeda602b7 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationMultipleReference/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Multi Class Conditioned T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "mu_465", + "input": { + "prompt": "A bird and a street sign" + } + }, + { + "id": "mu_114", + "input": { + "prompt": "A fish and a boat." + } + }, + { + "id": "mu_9", + "input": { + "prompt": "a cat and a traffic light" + } + }, + { + "id": "mu_454", + "input": { + "prompt": "A fish and a boat" + } + }, + { + "id": "mu_66", + "input": { + "prompt": "a cat and a microwave" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationSingleReference/annotation.json b/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationSingleReference/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..3c116af028037a8cf9c9c976eff80be9f9708b28 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/StylizedVideoGenerationSingleReference/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Multi Class Conditioned T2V", + "data_source": "VBench", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "mu_361", + "input": { + "prompt": "A mouse and a coffee shop counter." + } + }, + { + "id": "mu_199", + "input": { + "prompt": "" + } + }, + { + "id": "mu_53", + "input": { + "prompt": "a cat and a cake" + } + }, + { + "id": "mu_58", + "input": { + "prompt": "a cat and a dining table" + } + }, + { + "id": "mu_532", + "input": { + "prompt": "A cat and a purse." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/SubjectConsistencyT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/SubjectConsistencyT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..70c98e8744b062398255718b34919716cde60272 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/SubjectConsistencyT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Subject Consistency T2V", + "data_source": "Repurposed(VBench)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "su_50", + "input": { + "prompt": "A bumblebee buzzing around a blooming flower" + } + }, + { + "id": "su_57", + "input": { + "prompt": "A gondola gliding through the canals of Venice" + } + }, + { + "id": "su_305", + "input": { + "prompt": "A yacht mooring at a vibrant waterfront." + } + }, + { + "id": "su_427", + "input": { + "prompt": "A canoe slipping silently across a tranquil lake at sunrise." + } + }, + { + "id": "su_424", + "input": { + "prompt": "A sailboat gliding over the water at dusk." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "General-domain" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/TerrestrialAnimalT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/TerrestrialAnimalT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ddefe6547e19c2a8048630930ed1a6337c08c2b2 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/TerrestrialAnimalT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Terrestrial Animal T2V", + "data_source": "Repurposed (WebVid10M)", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "te_72", + "input": { + "prompt": "In Samburu Park, Kenya, a group of African lions stands near a bush as a cub plays, captured in real time." + } + }, + { + "id": "te_572", + "input": { + "prompt": "A telephoto close-up of whales." + } + }, + { + "id": "te_575", + "input": { + "prompt": "Siberian tigers roam and hunt in the dense forests of Sikhote-Alin Nature Reserve, Russia." + } + }, + { + "id": "te_323", + "input": { + "prompt": "A little girl by the lake with her goldfish." + } + }, + { + "id": "te_158", + "input": { + "prompt": "Charming, gentle, affectionate dog named Bao Bao in Beijing, China." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Animal" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VehicleI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/VehicleI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b9a99a6ff7616f93b1b9fd14525d6bde10007eac --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VehicleI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Vehicle I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "ve_80", + "input": { + "image": "./images/80.jpg", + "prompt": "A green van is parked outside a bakery with the door open." + } + }, + { + "id": "ve_139", + "input": { + "image": "./images/139.jpg", + "prompt": "A bright orange ATV is parked near the entrance of the forest trail." + } + }, + { + "id": "ve_259", + "input": { + "image": "./images/259.jpg", + "prompt": "A black sports car is parked in a high-end shopping district." + } + }, + { + "id": "ve_95", + "input": { + "image": "./images/95.jpg", + "prompt": "A blue tractor is working in the field at sunset." + } + }, + { + "id": "ve_201", + "input": { + "image": "./images/201.jpg", + "prompt": "A red bicycle is lying on the grass next to a walking path." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Daily" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoAnimalInpainting/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoAnimalInpainting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..b021143467f54b42f12aa3ef0275b082a216cc3d --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoAnimalInpainting/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_367", + "input": { + "image": "./images/367.jpg", + "prompt": "a close-up view of a cloudy sky with a mix of blue and pink hues" + } + }, + { + "id": "we_46", + "input": { + "image": "./images/46.jpg", + "prompt": "A detailed image of raindrops hitting a glass window, blending into a soft mist." + } + }, + { + "id": "we_421", + "input": { + "image": "./images/421.jpg", + "prompt": "An overhead view of a bustling market in Morocco." + } + }, + { + "id": "we_60", + "input": { + "image": "./images/60.jpg", + "prompt": "a dramatic sky with dark clouds and a bright sun, creating a contrast between the dark and light areas, and the ocean below is calm and reflective" + } + }, + { + "id": "we_222", + "input": { + "image": "./images/224.jpg", + "prompt": "a dramatic night sky with a bright lightning bolt streaking across the sky, illuminating the dark landscape below" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoColorization/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoColorization/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..803e61b0f0d1250c758d9ca941f1aeccc90c331e --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoColorization/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_119", + "input": { + "image": "./images/121.jpg", + "prompt": "a city skyline at night with a large, bright lightning strike illuminating the sky" + } + }, + { + "id": "we_258", + "input": { + "image": "./images/248.jpg", + "prompt": "A man in a green sweater stands on a weathered wooden platform, staring out at a vast sea with islands in the background, and a gull sitting on a fence post." + } + }, + { + "id": "we_406", + "input": { + "image": "./images/406.jpg", + "prompt": "a lake reflecting the sun's rays" + } + }, + { + "id": "we_330", + "input": { + "image": "./images/327.jpg", + "prompt": "A weathered wooden fence surrounded by blooming wildflowers, adding a vibrant and cheerful touch to the scene." + } + }, + { + "id": "we_107", + "input": { + "image": "./images/108.jpg", + "prompt": "A tranquil, serene grove with ancient trees and a moonlit night." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoDeblurring/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoDeblurring/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..ea73ab28dd3b4b44e0787750a51f2bc67fe0a551 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoDeblurring/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_324", + "input": { + "image": "./images/314.jpg", + "prompt": "A fisherman seated on a log beside a river, staring at the haze on the distant shore." + } + }, + { + "id": "we_4", + "input": { + "image": "./images/4.jpg", + "prompt": "A serene indigo sky with some soft clouds and a minor, green, lantern-like figure in the upper center." + } + }, + { + "id": "we_203", + "input": { + "image": "./images/205.jpg", + "prompt": "A solitary red rose with a golden bud stands proudly against a backdrop of a crisp autumn sky with wispy clouds." + } + }, + { + "id": "we_226", + "input": { + "image": "./images/228.jpg", + "prompt": "A stunning sunrise illuminated the misty mountainside, turning the peaks into golden silhouettes against the sky." + } + }, + { + "id": "we_32", + "input": { + "image": "./images/32.jpg", + "prompt": "An awe-inspiring vista of a stormy sea at twilight, where the moon's glow reflects off the waves and highlights the darkened horizon." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoDehazing/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoDehazing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..46252b96d37ffeb1716f8dbc0a1ee7543e0e1d98 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoDehazing/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_141", + "input": { + "image": "./images/143.jpg", + "prompt": "A bustling market square with vibrant stalls and orange lanterns." + } + }, + { + "id": "we_237", + "input": { + "image": "./images/239.jpg", + "prompt": "a clear blue sky with fluffy white clouds" + } + }, + { + "id": "we_96", + "input": { + "image": "./images/97.jpg", + "prompt": "A striking horizon with a fiery sunrise and a dense fog, framed by a forest of towering trees and gentle valleys." + } + }, + { + "id": "we_258", + "input": { + "image": "./images/248.jpg", + "prompt": "A man in a green sweater stands on a weathered wooden platform, staring out at a vast sea with islands in the background, and a gull sitting on a fence post." + } + }, + { + "id": "we_401", + "input": { + "image": "./images/401.jpg", + "prompt": "A hiker is ascending a mountain with rugged boulders on either side of the rocky trail." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoDenoising/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoDenoising/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..f0358dc8d876c0b2f0f72ff87447380f5ead06cc --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoDenoising/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_420", + "input": { + "image": "./images/420.jpg", + "prompt": "A panoramic shot of a sandy coastline in Thailand." + } + }, + { + "id": "we_330", + "input": { + "image": "./images/327.jpg", + "prompt": "A weathered wooden fence surrounded by blooming wildflowers, adding a vibrant and cheerful touch to the scene." + } + }, + { + "id": "we_275", + "input": { + "image": "./images/265.jpg", + "prompt": "" + } + }, + { + "id": "we_201", + "input": { + "image": "./images/203.jpg", + "prompt": "A foggy dawn with mist clinging to the ground, and the outline of a forest can be seen." + } + }, + { + "id": "we_324", + "input": { + "image": "./images/314.jpg", + "prompt": "A fisherman seated on a log beside a river, staring at the haze on the distant shore." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoDeraining/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoDeraining/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..7be2c1abe0726d7991fb48c0e9df361b19af55a1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoDeraining/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_372", + "input": { + "image": "./images/372.jpg", + "prompt": "a city skyline with tall buildings, partially obscured by fog, and a prominent skyscraper in the background" + } + }, + { + "id": "we_456", + "input": { + "image": "./images/456.jpg", + "prompt": "A blue butterfly is hovering over the flowers." + } + }, + { + "id": "we_7", + "input": { + "image": "./images/7.jpg", + "prompt": "A bustling cityscape with towering skyscrapers and flashing neon lights, set against a starlit night sky." + } + }, + { + "id": "we_235", + "input": { + "image": "./images/237.jpg", + "prompt": "A dog lies in the sun, holding a frisbee, looking up at the clouds." + } + }, + { + "id": "we_46", + "input": { + "image": "./images/46.jpg", + "prompt": "A detailed image of raindrops hitting a glass window, blending into a soft mist." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoDesnowing/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoDesnowing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..6a198c34e3f117aba2db3200cb9a085ea1ea4239 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoDesnowing/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_141", + "input": { + "image": "./images/143.jpg", + "prompt": "A bustling market square with vibrant stalls and orange lanterns." + } + }, + { + "id": "we_357", + "input": { + "image": "./images/357.jpg", + "prompt": "A peaceful scene with a radiant sky, cotton-candy clouds, and a range of rolling hills in the background, observed from a carpet of emerald green." + } + }, + { + "id": "we_134", + "input": { + "image": "./images/136.jpg", + "prompt": "A man riding a bicycle in the rain on a city street" + } + }, + { + "id": "we_388", + "input": { + "image": "./images/388.jpg", + "prompt": "The coastal town at dusk with a fierce wind blowing." + } + }, + { + "id": "we_383", + "input": { + "image": "./images/383.jpg", + "prompt": "A bustling city street at night, seen through a window, with a modern skyscraper, a red fire truck, and a busy sidewalk." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoFrameInterpolation/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoFrameInterpolation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..1194e54d7d2f65238b368091a2bf3b97b08f3347 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoFrameInterpolation/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_450", + "input": { + "image": "./images/450.jpg", + "prompt": "The moon is rising above a forest at dawn." + } + }, + { + "id": "we_391", + "input": { + "image": "./images/391.jpg", + "prompt": "A mountain range at sunset with a full moon shining." + } + }, + { + "id": "we_56", + "input": { + "image": "./images/56.jpg", + "prompt": "A bustling city square filled with people and street vendors, seen through a foggy museum window." + } + }, + { + "id": "we_436", + "input": { + "image": "./images/436.jpg", + "prompt": "delicate paper lanterns hang in the air." + } + }, + { + "id": "we_396", + "input": { + "image": "./images/396.jpg", + "prompt": "A black sedan with suitcases on top is parked in a bustling cityscape." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoNonAnimalInpainting/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoNonAnimalInpainting/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..19f0698137cd05f045da7aaa9bc91e67eeb5e7f7 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoNonAnimalInpainting/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_139", + "input": { + "image": "./images/141.jpg", + "prompt": "a rainy city street with tall buildings and red traffic lights" + } + }, + { + "id": "we_426", + "input": { + "image": "./images/426.jpg", + "prompt": "A space packed with shelves of books and soft pillows." + } + }, + { + "id": "we_461", + "input": { + "image": "./images/461.jpg", + "prompt": "A boy and a girl sitting on a park bench, strumming guitars." + } + }, + { + "id": "we_405", + "input": { + "image": "./images/405.jpg", + "prompt": "a valley covered in mist" + } + }, + { + "id": "we_210", + "input": { + "image": "./images/212.jpg", + "prompt": "A bustling cityscape under a blanket of stars and twinkling lights." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoObjectDemoireing/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoObjectDemoireing/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..82cf3aaffa79e6455439d00b86a624b60099acda --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoObjectDemoireing/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_485", + "input": { + "image": "./images/485.jpg", + "prompt": "A flock of birds perched on a tree in the forest." + } + }, + { + "id": "we_357", + "input": { + "image": "./images/357.jpg", + "prompt": "A peaceful scene with a radiant sky, cotton-candy clouds, and a range of rolling hills in the background, observed from a carpet of emerald green." + } + }, + { + "id": "we_76", + "input": { + "image": "./images/76.jpg", + "prompt": "A breathtaking sky brimming with lightning, set against a haunting silhouette of a lone tree." + } + }, + { + "id": "we_339", + "input": { + "image": "./images/339.jpg", + "prompt": "a collection of colorful umbrellas hanging from a ceiling" + } + }, + { + "id": "we_285", + "input": { + "image": "./images/275.jpg", + "prompt": "An ominous sky loomed with thick, gray clouds and a distant thunderclap." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/VideoTranslation/annotation.json b/Scope-A/S-A-Quick/video/generation/VideoTranslation/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..033fd7e85d5825a6a88555a6c2019de379219cf1 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/VideoTranslation/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_310", + "input": { + "image": "./images/300.jpg", + "prompt": "A high-resolution image of a vast, swirling galaxy, showcasing its intricate star formations and nebulae." + } + }, + { + "id": "we_92", + "input": { + "image": "./images/92.jpg", + "prompt": "A color photograph of a coastal sunset featuring a lone sailboat on the horizon and waves crashing against the shore." + } + }, + { + "id": "we_206", + "input": { + "image": "./images/208.jpg", + "prompt": "A standalone yellow daffodil with a green center stands boldly against a backdrop of a sunny afternoon sky with scattered shadows." + } + }, + { + "id": "we_415", + "input": { + "image": "./images/415.jpg", + "prompt": "A gallery brimming with sculptures and oil paintings." + } + }, + { + "id": "we_490", + "input": { + "image": "./images/490.jpg", + "prompt": "A temple stands at the summit of a hill in Thailand." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/WaterSportsT2V/annotation.json b/Scope-A/S-A-Quick/video/generation/WaterSportsT2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..90716e0246dadefe9921a3c1b4f2e22853fc88b5 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/WaterSportsT2V/annotation.json @@ -0,0 +1,52 @@ +{ + "task": "Water Sports T2V", + "data_source": "UCF101", + "type": "video generation", + "modality": { + "in": [ + "text" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "wa_28", + "input": { + "prompt": "A surfer catching a big wave, riding it all the way to the shore with confidence." + } + }, + { + "id": "wa_85", + "input": { + "prompt": "A swimmer training for a long-distance swim, their focus intense as they continue their strokes." + } + }, + { + "id": "wa_266", + "input": { + "prompt": "A hiker traversing a rugged trail through dense forest, leaping over fallen logs with agility." + } + }, + { + "id": "wa_308", + "input": { + "prompt": "A hiker ascending a mountain peak in a serene alpine meadow, the crisp air surrounding them." + } + }, + { + "id": "wa_37", + "input": { + "prompt": "A kayaker racing down a narrow waterway, pushing their limits to reach the finish line." + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Sports" + ], + "general_capability": [ + "Physical Understanding" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/WeatherI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/WeatherI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..e43e276e6cab73364767f57a03207c2376d77f15 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/WeatherI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Weather I2V", + "data_source": "Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "we_485", + "input": { + "image": "./images/485.jpg", + "prompt": "A flock of birds perched on a tree in the forest." + } + }, + { + "id": "we_370", + "input": { + "image": "./images/370.jpg", + "prompt": "A closely framed image of a sunset sky with a combination of red and purple shades." + } + }, + { + "id": "we_120", + "input": { + "image": "./images/122.jpg", + "prompt": "A bustling harbor scene at night with a powerful ship's spotlight piercing through the fog." + } + }, + { + "id": "we_499", + "input": { + "image": "./images/499.jpg", + "prompt": "a bunch of houses that are on a hillside" + } + }, + { + "id": "we_372", + "input": { + "image": "./images/372.jpg", + "prompt": "a city skyline with tall buildings, partially obscured by fog, and a prominent skyscraper in the background" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Climate" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file diff --git a/Scope-A/S-A-Quick/video/generation/WildAnimalI2V/annotation.json b/Scope-A/S-A-Quick/video/generation/WildAnimalI2V/annotation.json new file mode 100644 index 0000000000000000000000000000000000000000..78afb0fbf53b551155d82db26bb4c4bae1e87119 --- /dev/null +++ b/Scope-A/S-A-Quick/video/generation/WildAnimalI2V/annotation.json @@ -0,0 +1,57 @@ +{ + "task": "Wild Animal I2V", + "data_source": "VBench + Manual", + "type": "video generation", + "modality": { + "in": [ + "image" + ], + "out": "video" + }, + "version": "1.0", + "data": [ + { + "id": "wi_211", + "input": { + "image": "./images/211.jpg", + "prompt": "A sleek sea turtle gliding through the turquoise waters." + } + }, + { + "id": "wi_272", + "input": { + "image": "./images/272.jpg", + "prompt": "The seal is swimming in the ocean." + } + }, + { + "id": "wi_162", + "input": { + "image": "./images/177.jpg", + "prompt": "A miniature mouse darted across the kitchen floor." + } + }, + { + "id": "wi_77", + "input": { + "image": "./images/77.jpg", + "prompt": "An eagle soars in the sky." + } + }, + { + "id": "wi_0", + "input": { + "image": "./images/0.jpg", + "prompt": "a white rooster standing in a grassy field" + } + } + ], + "set_type": "closeset", + "skill": "Video Generation", + "domain": [ + "Animal" + ], + "general_capability": [ + "Creativity and Innovation" + ] +} \ No newline at end of file