Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
French
Size:
100K - 1M
License:
add dataset_info in dataset metadata
Browse files
README.md
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paperswithcode_id: allocine
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pretty_name: Allociné
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train-eval-index:
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---
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# Dataset Card for Allociné
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@TheophileBlard](https://github.com/TheophileBlard), [@lewtun](https://github.com/lewtun) and [@mcmillanmajora](https://github.com/mcmillanmajora) for adding this dataset.
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paperswithcode_id: allocine
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pretty_name: Allociné
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train-eval-index:
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- config: allocine
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task: text-classification
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task_id: multi_class_classification
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splits:
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train_split: train
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eval_split: test
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col_mapping:
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review: 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: review
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dtype: string
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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: neg
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1: pos
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config_name: allocine
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splits:
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- name: test
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num_bytes: 11547697
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num_examples: 20000
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- name: train
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num_bytes: 91330696
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num_examples: 160000
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- name: validation
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num_bytes: 11546250
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num_examples: 20000
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download_size: 66625305
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dataset_size: 114424643
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---
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# Dataset Card for Allociné
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@TheophileBlard](https://github.com/TheophileBlard), [@lewtun](https://github.com/lewtun) and [@mcmillanmajora](https://github.com/mcmillanmajora) for adding this dataset.
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