Datasets:
Update files from the datasets library (from 1.7.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.7.0
README.md
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- sentiment-classification
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WSD-V:
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- text-classification-other-Word Sense Disambiguation for Verbs
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---
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# Dataset Card for FLUE
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [
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- [Data Splits](#data-instances)
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- [Paraphrasing (PAWS-X)](#paraphrasing-(paws-x))
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Natural Language Inference (XNLI)](#natural-language-inference-(xnli))
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Word Sense Disambiguation for Verbs (WSD-V)](#word-sense-disambiguation-for-verbs-(wsd-v))
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- sentiment-classification
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WSD-V:
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- text-classification-other-Word Sense Disambiguation for Verbs
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paperswithcode_id: null
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---
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# Dataset Card for FLUE
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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flue.py
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@@ -387,7 +387,7 @@ class Flue(datasets.GeneratorBasedBuilder):
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if len(line) > 9:
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id += 1
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review_text, label = self._cls_extractor(line)
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yield id_, {"idx": id, "text": review_text, "label": label}
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elif self.config.name == "PAWS-X":
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with open(data_file, encoding="utf-8") as f:
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data = csv.reader(f, delimiter="\t")
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if len(line) > 9:
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id += 1
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review_text, label = self._cls_extractor(line)
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yield f"{category}_{id_}", {"idx": id, "text": review_text, "label": label}
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elif self.config.name == "PAWS-X":
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with open(data_file, encoding="utf-8") as f:
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data = csv.reader(f, delimiter="\t")
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