Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
albertvillanova HF staff commited on
Commit
260a238
1 Parent(s): d126f54

Delete legacy JSON metadata (#3)

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- Delete legacy JSON metadata (eaad54280dd97e2dbef2c81feb2b49db01ccac74)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"plain_text": {"description": "Composed by 30 students from one of the author's undergraduate classes. These\nsentence pairs cover topics ranging from real events (e.g., Iran's plan to\nattack the Saudi ambassador to the U.S.) to events/characters in movies (e.g.,\nBatman) and purely imaginary situations, largely reflecting the pop culture as\nperceived by the American kids born in the early 90s. Each annotated example\nspans four lines: the first line contains the sentence, the second line contains\nthe target pronoun, the third line contains the two candidate antecedents, and\nthe fourth line contains the correct antecedent. If the target pronoun appears\nmore than once in the sentence, its first occurrence is the one to be resolved.\n", "citation": "@inproceedings{rahman2012resolving,\n title={Resolving complex cases of definite pronouns: the winograd schema challenge},\n author={Rahman, Altaf and Ng, Vincent},\n booktitle={Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning},\n pages={777--789},\n year={2012},\n organization={Association for Computational Linguistics}\n}", "homepage": "http://www.hlt.utdallas.edu/~vince/data/emnlp12/", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "pronoun": {"dtype": "string", "id": null, "_type": "Value"}, "candidates": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": 2, "id": null, "_type": "Sequence"}, "label": {"num_classes": 2, "names": ["0", "1"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "sentence", "output": "label"}, "task_templates": null, "builder_name": "definite_pronoun_resolution", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 71691, "num_examples": 564, "dataset_name": "definite_pronoun_resolution"}, "train": {"name": "train", "num_bytes": 171511, "num_examples": 1322, "dataset_name": "definite_pronoun_resolution"}}, "download_checksums": {"https://s3.amazonaws.com/datasets.huggingface.co/definite_pronoun_resolution/train.c.txt": {"num_bytes": 160408, "checksum": "c310158d0cbac1a556e3284e6c167f4478271d8d50b0b9d15dfe428c905a0867"}, "https://s3.amazonaws.com/datasets.huggingface.co/definite_pronoun_resolution/test.c.txt": {"num_bytes": 67044, "checksum": "cf1cf025e1d59a5b363e6dcfbd5a13aae8a9830831ac16fd7f865aca7a1559d8"}}, "download_size": 227452, "post_processing_size": null, "dataset_size": 243202, "size_in_bytes": 470654}}