Datasets:

Sub-tasks:
extractive-qa
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
License:
albertvillanova HF staff commited on
Commit
ee7fa9a
1 Parent(s): b1e85d4

Delete legacy JSON metadata (#1)

Browse files

- Delete legacy JSON metadata (a4bf8ebd08c5b61755aa36ef1bc696164be5eedc)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"original": {"description": "MedHop is based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs. The correct answer has to be inferred by combining information from a chain of reactions of drugs and proteins.\n", "citation": "@misc{welbl2018constructing,\n title={Constructing Datasets for Multi-hop Reading Comprehension Across Documents},\n author={Johannes Welbl and Pontus Stenetorp and Sebastian Riedel},\n year={2018},\n eprint={1710.06481},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "http://qangaroo.cs.ucl.ac.uk/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "query": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "candidates": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "supports": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "med_hop", "config_name": "original", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 93937322, "num_examples": 1620, "dataset_name": "med_hop"}, "validation": {"name": "validation", "num_bytes": 16461640, "num_examples": 342, "dataset_name": "med_hop"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1ytVZ4AhubFDOEL7o7XrIRIyhU8g9wvKA": {"num_bytes": 339843061, "checksum": "2f512869760cdad76a022a1465f025b486ae79dc5b8f0bf3ad901a4caf2d3050"}}, "download_size": 339843061, "post_processing_size": null, "dataset_size": 110398962, "size_in_bytes": 450242023}, "masked": {"description": "MedHop iss based on research paper abstracts from PubMed, and the queries are about interactions between pairs of drugs. The correct answer has to be inferred by combining information from a chain of reactions of drugs and proteins.\n", "citation": "@misc{welbl2018constructing,\n title={Constructing Datasets for Multi-hop Reading Comprehension Across Documents},\n author={Johannes Welbl and Pontus Stenetorp and Sebastian Riedel},\n year={2018},\n eprint={1710.06481},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "http://qangaroo.cs.ucl.ac.uk/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "candidates": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "supports": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "med_hop", "config_name": "masked", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 95813584, "num_examples": 1620, "dataset_name": "med_hop"}, "validation": {"name": "validation", "num_bytes": 16800570, "num_examples": 342, "dataset_name": "med_hop"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1ytVZ4AhubFDOEL7o7XrIRIyhU8g9wvKA": {"num_bytes": 339843061, "checksum": "2f512869760cdad76a022a1465f025b486ae79dc5b8f0bf3ad901a4caf2d3050"}}, "download_size": 339843061, "post_processing_size": null, "dataset_size": 112614154, "size_in_bytes": 452457215}}