lhoestq HF staff commited on
Commit
38661ba
1 Parent(s): 278a17e

add dataset_info in dataset metadata

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  1. README.md +72 -49
README.md CHANGED
@@ -20,54 +20,77 @@ task_ids:
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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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  ---
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  # Dataset Card for Allociné
@@ -210,4 +233,4 @@ The Allociné dataset is licensed under the [MIT License](https://opensource.org
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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:
27
+ 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:
42
+ average: micro
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+ - type: f1
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+ name: F1 weighted
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+ args:
46
+ average: weighted
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+ - type: precision
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+ name: Precision macro
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+ args:
50
+ average: macro
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+ - type: precision
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+ name: Precision micro
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+ args:
54
+ average: micro
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+ - type: precision
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+ name: Precision weighted
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+ args:
58
+ 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.