metadata

license: bsd-2-clause
language:
  - fr
  - en
  - it
  - de
task_categories:
  - text-classification
size_categories:
  - 1K<n<10K

Dataset Card for Dataset Name

Dataset Description

Homepage:
Repository:
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Leaderboard:
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Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

premise: The translated premise in the target language.
hypothesis: The translated premise in the target language.
label: The classification label, with possible values 0 (entailment), 1 (neutral), 2 (contradiction).
label_text: The classification label, with possible values entailment (0), neutral (1), contradiction (2).
task: The particular NLP task that the data was drawn from (IE, IR, QA and SUM).
length: The length of the text of the pair.

Data Splits

name	development	test
all_languages	3200	3200
fr	800	800
de	800	800
it	800	800

For French RTE-3:

name	entailment	neutral	contradiction
dev	412	299	89
test	410	318	72

name	short	long
dev	665	135
test	683	117

name	IE	IR	QA	SUM
dev	200	200	200	200
test	200	200	200	200

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{giampiccolo-etal-2007-third,
    title = "The Third {PASCAL} Recognizing Textual Entailment Challenge",
    author = "Giampiccolo, Danilo  and
      Magnini, Bernardo  and
      Dagan, Ido  and
      Dolan, Bill",
    booktitle = "Proceedings of the {ACL}-{PASCAL} Workshop on Textual Entailment and Paraphrasing",
    month = jun,
    year = "2007",
    address = "Prague",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W07-1401",
    pages = "1--9",
}

Contributions

[More Information Needed]