Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
fix metdata
Browse files- dataset_infos.json +1 -1
- elsevier-oa-cc-by.py +0 -1
dataset_infos.json
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{"all": {"description": "\nElsevier OA CC-By is a corpus of 40k (40, 091) open access (OA) CC-BY articles\nfrom across Elsevier\u2019s journals and include the full text of the article, the metadata,\nthe bibliographic information for each reference, and author highlights.\n", "citation": "\n@article{Kershaw2020ElsevierOC,\n title = {Elsevier OA CC-By Corpus},\n author = {Daniel James Kershaw and R. Koeling},\n journal = {ArXiv},\n year = {2020},\n volume = {abs/2008.00774},\n doi = {https://doi.org/10.48550/arXiv.2008.00774},\n url = {https://elsevier.digitalcommonsdata.com/datasets/zm33cdndxs},\n keywords = {Science, Natural Language Processing, Machine Learning, Open Dataset},\n abstract = {We introduce the Elsevier OA CC-BY corpus. This is the first open\n corpus of Scientific Research papers which has a representative sample\n from across scientific disciplines. This corpus not only includes the\n full text of the article, but also the metadata of the documents, \n along with the bibliographic information for each reference.}\n}\n", "homepage": "https://elsevier.digitalcommonsdata.com/datasets/zm33cdndxs/3", "license": "CC-BY-4.0", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}, "subjareas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "keywords": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "asjc": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "body_text": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "author_highlights": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "elsevier_oa_cc_by", "config_name": "all", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"train": {"name": "train", "num_bytes": 1080581428, "num_examples": 32072, "dataset_name": "elsevier_oa_cc_by"}, "test": {"name": "test", "num_bytes": 134532311, "num_examples": 4008, "dataset_name": "elsevier_oa_cc_by"}, "validation": {"name": "validation", "num_bytes": 134823237, "num_examples": 4009, "dataset_name": "elsevier_oa_cc_by"}}, "download_checksums": {"https://data.mendeley.com/public-files/datasets/zm33cdndxs/files/4e03ae48-04a7-44d4-b103-ce73e548679c/file_downloaded": {"num_bytes": 1008401964, "checksum": "885e5fedbc342a84ac3831396d8c057fcc9fe5abf318f13fb3303bdd8e2fac32"}}, "download_size": 1008401964, "post_processing_size": null, "dataset_size": 1349936976, "size_in_bytes": 2358338940}}
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elsevier-oa-cc-by.py
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import json
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import glob
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import math
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import datasets
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import json
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import glob
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import os
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import datasets
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