Datasets:

tomasg25
/

scientific_lay_summarisation

{"plos": {"description": "\nThis repository contains the PLOS and eLife datasets, introduced in the EMNLP 2022 paper \"[Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature\n](https://arxiv.org/abs/2210.09932)\". \nEach dataset contains full biomedical research articles paired with expert-written lay summaries (i.e., non-technical summaries). PLOS articles are derived from various journals published by [the Public Library of Science (PLOS)](https://plos.org/), whereas eLife articles are derived from the [eLife](https://elifesciences.org/) journal. More details/anlaysis on the content of each dataset are provided in the paper.\n\nBoth \"elife\" and \"plos\" have 6 features:\n - \"article\": the body of the document (including the abstract), sections seperated by \"/n\".\n - \"section_headings\": the title of each section, seperated by \"/n\". \n - \"keywords\": keywords describing the topic of the article, seperated by \"/n\".\n - \"title\" : the title of the article.\n - \"year\" : the year the article was published.\n - \"summary\": the lay summary of the document.\n", "citation": "\n@misc{Goldsack_2022,\n doi = {10.48550/ARXIV.2210.09932},\n url = {https://arxiv.org/abs/2210.09932},\n author = {Goldsack, Tomas and Zhang, Zhihao and Lin, Chenghua and Scarton, Carolina},\n title = {Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature},\n publisher = {arXiv},\n year = {2022},\n copyright = {arXiv.org perpetual, non-exclusive license}\n}\n", "homepage": "https://github.com/TGoldsack1/Corpora_for_Lay_Summarisation", "license": "", "features": {"article": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "section_headings": {"dtype": "string", "id": null, "_type": "Value"}, "keywords": {"dtype": "string", "id": null, "_type": "Value"}, "year": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "scientific_lay_summarisation", "config_name": "plos", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1015222548, "num_examples": 24773, "dataset_name": "scientific_lay_summarisation"}, "validation": {"name": "validation", "num_bytes": 56304792, "num_examples": 1376, "dataset_name": "scientific_lay_summarisation"}, "test": {"name": "test", "num_bytes": 56043968, "num_examples": 1376, "dataset_name": "scientific_lay_summarisation"}}, "download_checksums": {"https://drive.google.com/u/1/uc?id=1lZ6PCAtXvmGjRZyp3vQQCEgO_yerH62Q&export=download&confirm=t&uuid=03eb0ca9-2333-4681-ac85-68f0a0e6b5c8": {"num_bytes": 357175122, "checksum": "09b35ac3e96be0263f813d7766a9be7cc19806f722e9d27f5e71271ee6e623a5"}, "https://drive.google.com/u/1/uc?id=1WKW8BAqluOlXrpy1B9mV3j3CtAK3JdnE&export=download&confirm=t&uuid=bbaafa1a-a0be-434f-935f-723033623119": {"num_bytes": 88704247, "checksum": "b0d11e4475f5ffd6a8c1875f7b6b2a6be3c4afc67c4682c2dbf43a1611a8e1a0"}}, "download_size": 445879369, "post_processing_size": null, "dataset_size": 1127571308, "size_in_bytes": 1573450677}, "elife": {"description": "\nThis repository contains the PLOS and eLife datasets, introduced in the EMNLP 2022 paper \"[Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature\n](https://arxiv.org/abs/2210.09932)\". \nEach dataset contains full biomedical research articles paired with expert-written lay summaries (i.e., non-technical summaries). PLOS articles are derived from various journals published by [the Public Library of Science (PLOS)](https://plos.org/), whereas eLife articles are derived from the [eLife](https://elifesciences.org/) journal. More details/anlaysis on the content of each dataset are provided in the paper.\n\nBoth \"elife\" and \"plos\" have 6 features:\n - \"article\": the body of the document (including the abstract), sections seperated by \"/n\".\n - \"section_headings\": the title of each section, seperated by \"/n\". \n - \"keywords\": keywords describing the topic of the article, seperated by \"/n\".\n - \"title\" : the title of the article.\n - \"year\" : the year the article was published.\n - \"summary\": the lay summary of the document.\n", "citation": "\n@misc{Goldsack_2022,\n doi = {10.48550/ARXIV.2210.09932},\n url = {https://arxiv.org/abs/2210.09932},\n author = {Goldsack, Tomas and Zhang, Zhihao and Lin, Chenghua and Scarton, Carolina},\n title = {Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature},\n publisher = {arXiv},\n year = {2022},\n copyright = {arXiv.org perpetual, non-exclusive license}\n}\n", "homepage": "https://github.com/TGoldsack1/Corpora_for_Lay_Summarisation", "license": "", "features": {"article": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "section_headings": {"dtype": "string", "id": null, "_type": "Value"}, "keywords": {"dtype": "string", "id": null, "_type": "Value"}, "year": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "scientific_lay_summarisation", "config_name": "elife", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 260998879, "num_examples": 4346, "dataset_name": "scientific_lay_summarisation"}, "validation": {"name": "validation", "num_bytes": 14257139, "num_examples": 241, "dataset_name": "scientific_lay_summarisation"}, "test": {"name": "test", "num_bytes": 14143535, "num_examples": 241, "dataset_name": "scientific_lay_summarisation"}}, "download_checksums": {"https://drive.google.com/u/1/uc?id=1lZ6PCAtXvmGjRZyp3vQQCEgO_yerH62Q&export=download&confirm=t&uuid=03eb0ca9-2333-4681-ac85-68f0a0e6b5c8": {"num_bytes": 357175122, "checksum": "09b35ac3e96be0263f813d7766a9be7cc19806f722e9d27f5e71271ee6e623a5"}, "https://drive.google.com/u/1/uc?id=1WKW8BAqluOlXrpy1B9mV3j3CtAK3JdnE&export=download&confirm=t&uuid=bbaafa1a-a0be-434f-935f-723033623119": {"num_bytes": 88704247, "checksum": "b0d11e4475f5ffd6a8c1875f7b6b2a6be3c4afc67c4682c2dbf43a1611a8e1a0"}}, "download_size": 445879369, "post_processing_size": null, "dataset_size": 289399553, "size_in_bytes": 735278922}}