Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
albertvillanova HF staff commited on
Commit
4dc5518
1 Parent(s): c0fcac5

Delete legacy JSON metadata (#2)

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- Delete legacy JSON metadata (23a3ce26ed19d4af4aacb371add72b059481f0f3)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"default": {"description": "\nMulti-XScience,a large-scale multi-document summarization dataset created from scientific articles. Multi-XScience introduces a challenging multi-document summarization task: writing therelated-work section of a paper based on itsabstract and the articles it references.\n", "citation": "\n@article{lu2020multi,\n title={Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles},\n author={Lu, Yao and Dong, Yue and Charlin, Laurent},\n journal={arXiv preprint arXiv:2010.14235},\n year={2020}\n}\n", "homepage": "https://github.com/yaolu/Multi-XScience", "license": "", "features": {"aid": {"dtype": "string", "id": null, "_type": "Value"}, "mid": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}, "related_work": {"dtype": "string", "id": null, "_type": "Value"}, "ref_abstract": {"feature": {"cite_N": {"dtype": "string", "id": null, "_type": "Value"}, "mid": {"dtype": "string", "id": null, "_type": "Value"}, "abstract": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_x_science_sum", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 169364465, "num_examples": 30369, "dataset_name": "multi_x_science_sum"}, "test": {"name": "test", "num_bytes": 27965523, "num_examples": 5093, "dataset_name": "multi_x_science_sum"}, "validation": {"name": "validation", "num_bytes": 28168498, "num_examples": 5066, "dataset_name": "multi_x_science_sum"}}, "download_checksums": {"https://raw.githubusercontent.com/yaolu/Multi-XScience/master/data/train.json.gz": {"num_bytes": 46052652, "checksum": "447590bb3580b489fe388ccaf563b771ce310d4054b188e4d4055916653ce915"}, "https://raw.githubusercontent.com/yaolu/Multi-XScience/master/data/test.json.gz": {"num_bytes": 7601038, "checksum": "40b08749cc676c28b44e9c328dc3befa659eb2a752344e9388918e47efde3444"}, "https://raw.githubusercontent.com/yaolu/Multi-XScience/master/data/val.json.gz": {"num_bytes": 7675614, "checksum": "fc5a84edad99d9d9fe6e71567b1c198f410e34a3b1e71a56e73b77b930258a8a"}}, "download_size": 61329304, "post_processing_size": null, "dataset_size": 225498486, "size_in_bytes": 286827790}}