diff --git a/.gitattributes b/.gitattributes
index 1ef325f1b111266a6b26e0196871bd78baa8c2f3..2fd219cca85cd878f080791e5abdf8b90b9e2946 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -57,3 +57,131 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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diff --git a/prometheus_300/1.0.0/dataset_info.json b/prometheus_300/1.0.0/dataset_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd349351fe17fe5d79dd60e886fd78aa6536ef3b
--- /dev/null
+++ b/prometheus_300/1.0.0/dataset_info.json
@@ -0,0 +1,147 @@
+{
+  "description": "TODO(example_dataset): Markdown description of your dataset.\nDescription is **formatted** as markdown.\n\nIt should also contain any processing which has been applied (if any),\n(e.g. corrupted example skipped, images cropped,...):",
+  "fileFormat": "tfrecord",
+  "moduleName": "grasping_dataset_dataset_builder",
+  "name": "grasping_dataset",
+  "releaseNotes": {
+    "1.0.0": "300 episodes, 3 delicate grasping tasks (shampoo, tomato, toothpaste), UR3 robot"
+  },
+  "splits": [
+    {
+      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
+      "name": "train",
+      "numBytes": "15514201366",
+      "shardLengths": [
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2",
+        "2",
+        "3",
+        "2"
+      ]
+    }
+  ],
+  "version": "1.0.0"
+}
\ No newline at end of file
diff --git a/prometheus_300/1.0.0/features.json b/prometheus_300/1.0.0/features.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9f54d27eb7e050bac88efed8cb81b1afa7907ab
--- /dev/null
+++ b/prometheus_300/1.0.0/features.json
@@ -0,0 +1,158 @@
+{
+    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+    "featuresDict": {
+        "features": {
+            "steps": {
+                "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
+                "sequence": {
+                    "feature": {
+                        "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                        "featuresDict": {
+                            "features": {
+                                "action": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                    "tensor": {
+                                        "shape": {
+                                            "dimensions": [
+                                                "14"
+                                            ]
+                                        },
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Robot action, consists of [6x delta joint angles, 3x tcp pose, 4x tcp rot quaternion,1x delta gripper position]."
+                                },
+                                "language_embedding": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                    "tensor": {
+                                        "shape": {
+                                            "dimensions": [
+                                                "512"
+                                            ]
+                                        },
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Kona language embedding. See https://tfhub.dev/google/universal-sentence-encoder-large/5"
+                                },
+                                "is_terminal": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "bool",
+                                        "encoding": "none"
+                                    },
+                                    "description": "True on last step of the episode if it is a terminal step, True for demos."
+                                },
+                                "is_last": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "bool",
+                                        "encoding": "none"
+                                    },
+                                    "description": "True on last step of the episode."
+                                },
+                                "language_instruction": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                                    "text": {},
+                                    "description": "Language Instruction."
+                                },
+                                "observation": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                                    "featuresDict": {
+                                        "features": {
+                                            "state": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                                "tensor": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "15"
+                                                        ]
+                                                    },
+                                                    "dtype": "float32",
+                                                    "encoding": "none"
+                                                },
+                                                "description": "Robot state, consists of [6x robot joint angles, 3x tcp pose, 4x tcp rot quaternion, 1x gripper position, 1x force sensor data]."
+                                            },
+                                            "image_wrist": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "480",
+                                                            "640",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "png"
+                                                },
+                                                "description": "Wrist camera RGB observation."
+                                            },
+                                            "image_main": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "480",
+                                                            "640",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "png"
+                                                },
+                                                "description": "Main camera RGB observation."
+                                            }
+                                        }
+                                    }
+                                },
+                                "is_first": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "bool",
+                                        "encoding": "none"
+                                    },
+                                    "description": "True on first step of the episode."
+                                },
+                                "discount": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Discount if provided, default to 1."
+                                },
+                                "reward": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Reward if provided, 1 on final step for demos."
+                                }
+                            }
+                        }
+                    },
+                    "length": "-1"
+                }
+            },
+            "episode_metadata": {
+                "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                "featuresDict": {
+                    "features": {
+                        "file_path": {
+                            "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                            "text": {},
+                            "description": "Path to the original data file."
+                        }
+                    }
+                }
+            }
+        }
+    }
+}
\ No newline at end of file
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