| {"farleyknight--big_patent_5_percent": {"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": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1156045593, "num_examples": 60361, "dataset_name": "big_patent_5_percent"}, "validation": {"name": "validation", "num_bytes": 63730809, "num_examples": 3353, "dataset_name": "big_patent_5_percent"}, "test": {"name": "test", "num_bytes": 63737831, "num_examples": 3354, "dataset_name": "big_patent_5_percent"}}, "download_checksums": null, "download_size": 558456209, "post_processing_size": null, "dataset_size": 1283514233, "size_in_bytes": 1841970442}} |