Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1M - 10M
ArXiv:
License:
add dataset_info in dataset metadata
Browse files
README.md
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content: text
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label: target
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metrics:
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---
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# Dataset Card for Amazon Review Polarity
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### Contributions
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Thanks to [@hfawaz](https://github.com/hfawaz) for adding this dataset.
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content: text
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label: target
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metrics:
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- type: accuracy
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name: Accuracy
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- type: f1
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name: F1 macro
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args:
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average: macro
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- type: f1
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name: F1 micro
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args:
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average: micro
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- type: f1
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name: F1 weighted
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args:
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average: weighted
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- type: precision
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name: Precision macro
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args:
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average: macro
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- type: precision
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name: Precision micro
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args:
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average: micro
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- type: precision
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name: Precision weighted
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args:
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average: weighted
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- type: recall
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name: Recall macro
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args:
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average: macro
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- type: recall
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name: Recall micro
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args:
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average: micro
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- type: recall
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name: Recall weighted
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args:
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average: weighted
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dataset_info:
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features:
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- name: label
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dtype:
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class_label:
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names:
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0: negative
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1: positive
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- name: title
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dtype: string
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- name: content
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dtype: string
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config_name: amazon_polarity
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splits:
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- name: test
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num_bytes: 178176193
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num_examples: 400000
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- name: train
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num_bytes: 1604364432
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num_examples: 3600000
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download_size: 688339454
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dataset_size: 1782540625
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---
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# Dataset Card for Amazon Review Polarity
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### Contributions
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Thanks to [@hfawaz](https://github.com/hfawaz) for adding this dataset.
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