Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
License:
Francisco Castillo
commited on
Commit
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9454cb0
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Parent(s):
7305dd8
wip
Browse files
README.md
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- expert-generated
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language_creators:
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- expert-generated
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-
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- en
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- mit
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multilinguality:
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- monolingual
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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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- [
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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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@@ -55,7 +55,7 @@ This dataset was crafted to be used in our tutorial [Link to the tutorial when r
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`text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the text, predict the sentiment (positive or negative).
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###
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Text is mainly written in english.
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- expert-generated
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language_creators:
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- expert-generated
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language:
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- en
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license:
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- mit
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multilinguality:
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- monolingual
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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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- [language](#language)
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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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`text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the text, predict the sentiment (positive or negative).
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### language
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Text is mainly written in english.
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