|
{"Abstract": {"description": "A new multi-target dataset of 5.4K TLDRs over 3.2K papers.\nSCITLDR contains both author-written and expert-derived TLDRs,\nwhere the latter are collected using a novel annotation protocol\nthat produces high-quality summaries while minimizing annotation burden.\n", "citation": "@article{cachola2020tldr,\n title={{TLDR}: Extreme Summarization of Scientific Documents},\n author={Isabel Cachola and Kyle Lo and Arman Cohan and Daniel S. Weld},\n journal={arXiv:2004.15011},\n year={2020},\n}\n", "homepage": "https://github.com/allenai/scitldr", "license": "Apache License 2.0", "features": {"source": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "source_labels": {"feature": {"num_classes": 2, "names": ["non-oracle", "oracle"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "rouge_scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "source", "output": "target"}, "builder_name": "scitldr", "config_name": "Abstract", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2738065, "num_examples": 1992, "dataset_name": "scitldr"}, "test": {"name": "test", "num_bytes": 1073656, "num_examples": 618, "dataset_name": "scitldr"}, "validation": {"name": "validation", "num_bytes": 994876, "num_examples": 619, "dataset_name": "scitldr"}}, "download_checksums": {"https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-A/train.jsonl": {"num_bytes": 3155015, "checksum": "b222771d387be585cfdf5ae957b36757138415a352e0a3e3b23f73f87c3b1119"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-A/dev.jsonl": {"num_bytes": 1124865, "checksum": "3191fa98ccc09521332b7a1cd63b1930be4e8df125a235ccd31e40329709525e"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-A/test.jsonl": {"num_bytes": 1204107, "checksum": "fb42dd6cd4f4a1928ae8a01a189456fbfe994a07e938bd49f68653933f6503c9"}}, "download_size": 5483987, "post_processing_size": null, "dataset_size": 4806597, "size_in_bytes": 10290584}, "AIC": {"description": "A new multi-target dataset of 5.4K TLDRs over 3.2K papers.\nSCITLDR contains both author-written and expert-derived TLDRs,\nwhere the latter are collected using a novel annotation protocol\nthat produces high-quality summaries while minimizing annotation burden.\n", "citation": "@article{cachola2020tldr,\n title={{TLDR}: Extreme Summarization of Scientific Documents},\n author={Isabel Cachola and Kyle Lo and Arman Cohan and Daniel S. Weld},\n journal={arXiv:2004.15011},\n year={2020},\n}\n", "homepage": "https://github.com/allenai/scitldr", "license": "Apache License 2.0", "features": {"source": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "source_labels": {"feature": {"num_classes": 2, "names": [0, 1], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "rouge_scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "ic": {"dtype": "bool_", "id": null, "_type": "Value"}, "target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "source", "output": "target"}, "builder_name": "scitldr", "config_name": "AIC", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14473822, "num_examples": 1992, "dataset_name": "scitldr"}, "test": {"name": "test", "num_bytes": 4822026, "num_examples": 618, "dataset_name": "scitldr"}, "validation": {"name": "validation", "num_bytes": 4476237, "num_examples": 619, "dataset_name": "scitldr"}}, "download_checksums": {"https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-AIC/train.jsonl": {"num_bytes": 15569568, "checksum": "64b08af6de479671a12afd04770f66bcbc1c2c5f3098a08392b0fd7c1070d621"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-AIC/dev.jsonl": {"num_bytes": 4811551, "checksum": "ac5168c27d25181fc17bb6f1fb41d11dbe30c627bebee14457feb3bad2c839dd"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-AIC/test.jsonl": {"num_bytes": 5163989, "checksum": "7cb9230d3eb4863884762154918360d1c063aa18fc76de928801a14f4bcf4d37"}}, "download_size": 25545108, "post_processing_size": null, "dataset_size": 23772085, "size_in_bytes": 49317193}, "FullText": {"description": "A new multi-target dataset of 5.4K TLDRs over 3.2K papers.\nSCITLDR contains both author-written and expert-derived TLDRs,\nwhere the latter are collected using a novel annotation protocol\nthat produces high-quality summaries while minimizing annotation burden.\n", "citation": "@article{cachola2020tldr,\n title={{TLDR}: Extreme Summarization of Scientific Documents},\n author={Isabel Cachola and Kyle Lo and Arman Cohan and Daniel S. Weld},\n journal={arXiv:2004.15011},\n year={2020},\n}\n", "homepage": "https://github.com/allenai/scitldr", "license": "Apache License 2.0", "features": {"source": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "source_labels": {"feature": {"num_classes": 2, "names": ["non-oracle", "oracle"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "rouge_scores": {"feature": {"dtype": "float32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "target": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "source", "output": "target"}, "builder_name": "scitldr", "config_name": "FullText", "version": "0.0.0", "splits": {"train": {"name": "train", "num_bytes": 66917363, "num_examples": 1992, "dataset_name": "scitldr"}, "test": {"name": "test", "num_bytes": 20182554, "num_examples": 618, "dataset_name": "scitldr"}, "validation": {"name": "validation", "num_bytes": 18790651, "num_examples": 619, "dataset_name": "scitldr"}}, "download_checksums": {"https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-FullText/train.jsonl": {"num_bytes": 71263949, "checksum": "e35461c1665cb4f7b46daba6dd5ac3cff03a61eb196e6ce9983edda44d867604"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-FullText/dev.jsonl": {"num_bytes": 19111616, "checksum": "11c3fd77a7ec447adc44ca34c0fa41a7ab6bdacdf3b8e15748e6f8b8e4f698bf"}, "https://raw.githubusercontent.com/allenai/scitldr/master/SciTLDR-Data/SciTLDR-FullText/test.jsonl": {"num_bytes": 20528987, "checksum": "1584bd3f5fff5859cb8428cfbacc8d38c671f5fc6a24a8140ea5350cbd86a751"}}, "download_size": 110904552, "post_processing_size": null, "dataset_size": 105890568, "size_in_bytes": 216795120}} |
