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{"all": {"description": "\nBIGPATENT, consisting of 1.3 million records of U.S. patent documents\nalong with human written abstractive summaries.\nEach US patent application is filed under a Cooperative Patent Classification\n(CPC) code. There are nine such classification categories:\nA (Human Necessities), B (Performing Operations; Transporting),\nC (Chemistry; Metallurgy), D (Textiles; Paper), E (Fixed Constructions),\nF (Mechanical Engineering; Lightning; Heating; Weapons; Blasting),\nG (Physics), H (Electricity), and\nY (General tagging of new or cross-sectional technology)\nThere are two features:\n  - description: detailed description of patent.\n  - abstract: Patent abastract.\n", "citation": "\n@misc{sharma2019bigpatent,\n    title={BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization},\n    author={Eva Sharma and Chen Li and Lu Wang},\n    year={2019},\n    eprint={1906.03741},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://evasharma.github.io/bigpatent/", "license": "Creative Commons Attribution 4.0 International", "features": {"description": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "description", "output": "abstract"}, "task_templates": null, "builder_name": "big_patent", "config_name": "all", "version": "2.1.2", "splits": {"train": {"name": "train", "num_bytes": 38367048389, "num_examples": 1207222, "dataset_name": "big_patent"}, "validation": {"name": "validation", "num_bytes": 2115827002, "num_examples": 67068, "dataset_name": "big_patent"}, "test": {"name": "test", "num_bytes": 2129505280, "num_examples": 67072, "dataset_name": "big_patent"}}, "download_checksums": {"data/2.1.2/train.zip": {"num_bytes": 9129045386, "checksum": "59cae1439b01102faa5b9e1bb3061867ba292a6093cf66ee3d1bc33030d7a91f"}, "data/2.1.2/val.zip": {"num_bytes": 506259325, "checksum": "9206de008607095bdb29f405ef9b525565556860d015cbd4261154644b51ce9b"}, "data/2.1.2/test.zip": {"num_bytes": 507619065, "checksum": "614821d8d8c92451ba495e0b381f157a0e0b36977a70f2d4cb3ae4b6b706539a"}}, "download_size": 10142923776, "post_processing_size": null, "dataset_size": 42612380671, "size_in_bytes": 52755304447}, "a": {"description": "\nBIGPATENT, consisting of 1.3 million records of U.S. patent documents\nalong with human written abstractive summaries.\nEach US patent application is filed under a Cooperative Patent Classification\n(CPC) code. 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There are nine such classification categories:\nA (Human Necessities), B (Performing Operations; Transporting),\nC (Chemistry; Metallurgy), D (Textiles; Paper), E (Fixed Constructions),\nF (Mechanical Engineering; Lightning; Heating; Weapons; Blasting),\nG (Physics), H (Electricity), and\nY (General tagging of new or cross-sectional technology)\nThere are two features:\n  - description: detailed description of patent.\n  - abstract: Patent abastract.\n", "citation": "\n@misc{sharma2019bigpatent,\n    title={BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization},\n    author={Eva Sharma and Chen Li and Lu Wang},\n    year={2019},\n    eprint={1906.03741},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://evasharma.github.io/bigpatent/", "license": "Creative Commons Attribution 4.0 International", "features": {"description": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "description", "output": "abstract"}, "task_templates": null, "builder_name": "big_patent", "config_name": "h", "version": "2.1.2", "splits": {"train": {"name": "train", "num_bytes": 8075621958, "num_examples": 257019, "dataset_name": "big_patent"}, "validation": {"name": "validation", "num_bytes": 447602356, "num_examples": 14279, "dataset_name": "big_patent"}, "test": {"name": "test", "num_bytes": 445460513, "num_examples": 14279, "dataset_name": "big_patent"}}, "download_checksums": {"data/2.1.2/train.zip": {"num_bytes": 9129045386, "checksum": "59cae1439b01102faa5b9e1bb3061867ba292a6093cf66ee3d1bc33030d7a91f"}, "data/2.1.2/val.zip": {"num_bytes": 506259325, "checksum": "9206de008607095bdb29f405ef9b525565556860d015cbd4261154644b51ce9b"}, "data/2.1.2/test.zip": {"num_bytes": 507619065, "checksum": "614821d8d8c92451ba495e0b381f157a0e0b36977a70f2d4cb3ae4b6b706539a"}}, "download_size": 10142923776, "post_processing_size": null, "dataset_size": 8968684827, "size_in_bytes": 19111608603}, "y": {"description": "\nBIGPATENT, consisting of 1.3 million records of U.S. patent documents\nalong with human written abstractive summaries.\nEach US patent application is filed under a Cooperative Patent Classification\n(CPC) code. 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