数据集:
PlanTL-GOB-ES/wnli-es
许可:
cc-by-4.0源数据集:
extended|glue批注创建人:
expert-generated语言创建人:
found计算机处理:
monolingual语言:
es任务:
文本分类"A Winograd schema is a pair of sentences that differ in only one or two words and that contain an ambiguity that is resolved in opposite ways in the two sentences and requires the use of world knowledge and reasoning for its resolution. The schema takes its name from Terry Winograd." Source: The Winograd Schema Challenge .
The Winograd NLI dataset presents 855 sentence pairs, in which the first sentence contains an ambiguity and the second one a possible interpretation of it. The label indicates if the interpretation is correct (1) or not (0).
This dataset is a professional translation into Spanish of Winograd NLI dataset as published in GLUE Benchmark .
Both the original dataset and this translation are licenced under a Creative Commons Attribution 4.0 International License .
Textual entailment, Text classification, Language Model.
Three tsv files.
We translated this dataset to contribute to the development of language models in Spanish.
This is a professional translation of WNLI dataset into Spanish, commissioned by BSC TeMU within the the framework of the Plan-TL .
For more information on how the Winograd NLI dataset was created, visit the webpage The Winograd Schema Challenge .
Who are the source language producers?For more information on how the Winograd NLI dataset was created, visit the webpage The Winograd Schema Challenge .
We comissioned a professional translation of WNLI dataset into Spanish.
Who are the annotators?Translation was commisioned to a professional translation agency.
No personal or sensitive information included.
This dataset contributes to the development of language models in Spanish.
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Text Mining Unit (TeMU) at the Barcelona Supercomputing Center ( bsc-temu@bsc.es ).
For further information, send an email to ( plantl-gob-es@bsc.es ).
This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL .
This work is licensed under CC Attribution 4.0 International License.
Copyright by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) (2022)
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