Datasets:
Tasks:
Text Classification
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
License:
Lautaro Estienne
commited on
Commit
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fdbbedb
1
Parent(s):
880990a
Edited melisa.py
Browse files- README.md +2 -0
- dataset_infos.json +0 -0
- melisa.py +7 -3
README.md
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@@ -95,6 +95,8 @@ Table shows the number of samples per star rate in each split. There is a total
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Reviews in spanish were obtained from 8 different Latin Amercian countries (Argentina, Colombia, Peru, Uruguay, Chile, Venezuela and Mexico), and portuguese reviews were extracted from Brasil. To match the language with its respective country, we applied a language detection algorithm based on the works of Joulin et al. (2016a and 2016b) to determine the language of the review text and we removed reviews that were not written in the expected language.
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### Languages
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The dataset contains reviews in Latin American Spanish and Portuguese.
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Reviews in spanish were obtained from 8 different Latin Amercian countries (Argentina, Colombia, Peru, Uruguay, Chile, Venezuela and Mexico), and portuguese reviews were extracted from Brasil. To match the language with its respective country, we applied a language detection algorithm based on the works of Joulin et al. (2016a and 2016b) to determine the language of the review text and we removed reviews that were not written in the expected language.
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[More Information Needed]
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### Languages
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The dataset contains reviews in Latin American Spanish and Portuguese.
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dataset_infos.json
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File without changes
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melisa.py
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@@ -5,9 +5,13 @@ _LICENSE = """
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TO DO: Licencia
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"""
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_CITATION = """
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TO DO: Cita
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TO DO: Licencia
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"""
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with open("README.md", "r") as f:
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lines = iter(f.readlines())
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for line in lines:
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if "### Dataset Summary" in line:
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break
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next(lines)
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_DESCRIPTION = next(lines)
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_CITATION = """
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TO DO: Cita
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