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dataset_infos.json

@@ -1 +1,63 @@
-{"kasnerz--scigen": {"description": "Scigen: dataset for reasoning-aware data-to-text generation from scientific tables.\n", "citation": "@article{moosavi:2021:SciGen,\n  author    = {Nafise Sadat Moosavi, Andreas R{\"u}ckl{'e}, Dan Roth, Iryna Gurevych},\n  title     = {Learning to Reason for Text Generation from Scientific Tables},\n  journal   = {arXiv preprint arXiv:2104.08296},\n  year      = {2021},\n  url       = {https://arxiv.org/abs/2104.08296}\n}\n", "homepage": "https://github.com/UKPLab/SciGen", "license": "", "features": {"paper": {"dtype": "string", "id": null, "_type": "Value"}, "paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "table_caption": {"dtype": "string", "id": null, "_type": "Value"}, "table_column_names": {"dtype": "large_string", "id": null, "_type": "Value"}, "table_content_values": {"dtype": "large_string", "id": null, "_type": "Value"}, "text": {"dtype": "large_string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "scigen", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21346753, "num_examples": 13607, "dataset_name": "scigen"}, "validation": {"name": "validation", "num_bytes": 5676434, "num_examples": 3452, "dataset_name": "scigen"}, "test": {"name": "test", "num_bytes": 808761, "num_examples": 492, "dataset_name": "scigen"}}, "download_checksums": null, "download_size": 12978477, "post_processing_size": null, "dataset_size": 27831948, "size_in_bytes": 40810425}}
+{"default": {
+    "description": "SciGen is dataset for the task of reasoning-aware data-to-text generation consisting of tables from scientific articles and their corresponding descriptions.\n",
+    "citation": "@article{moosavi:2021:SciGen,\n  author    = {Nafise Sadat Moosavi, Andreas R{\"u}ckl{'e}, Dan Roth, Iryna Gurevych},\n  title     = {Learning to Reason for Text Generation from Scientific Tables},\n  journal   = {arXiv preprint arXiv:2104.08296},\n  year      = {2021},\n  url       = {https://arxiv.org/abs/2104.08296}\n}\n",
+    "homepage": "https://github.com/UKPLab/SciGen",
+    "license": "CC BY-NC-SA 4.0",
+    "features": {
+        "paper": {
+            "dtype": "string",
+            "_type": "Value"
+        },
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+            "dtype": "string",
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+        "table_caption": {
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+            "_type": "Value"
+        },
+        "table_column_names": {
+            "dtype": "large_string",
+            "_type": "Value"
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+        "table_content_values": {
+            "dtype": "large_string",
+            "_type": "Value"
+        },
+        "text": {
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+            "_type": "Value"
+        }
+    },
+    "builder_name": "scigen",
+    "config_name": "default",
+    "version": {
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+        "major": 1,
+        "minor": 0,
+        "patch": 0
+    },
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+            "num_examples": 3452,
+            "dataset_name": null
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+            "num_examples": 492,
+            "dataset_name": null
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+    "download_size": 13102794,
+    "dataset_size": 27831948,
+    "size_in_bytes": 40934742
+}}