---
license: mit
language:
- fr
annotations_creators:
- expert-generated
size_categories:
- n<3k
source_datasets:
- Grand Débat National
task_categories:
- text-classification
- text-generation
configs:  # Optional. This can be used to pass additional parameters to the dataset loader, such as `data_files`, `data_dir`, and any builder-specific parameters  
- config_name: default  # Name of the dataset subset, if applicable. Example: default
  data_files:
  - split: train  # Example: train
    path: GDNCC_data_train.jsonl  # Example: data.csv
  - split: test # Example: test
    path: GDNCC_data_test.jsonl   # Example: holdout.csv
  - split: eval # Example: test
    path: GDNCC_data_valid.jsonl   # Example: holdout.csv
- config_name: AU_detection  # Name of the dataset subset. Example: processed
  data_files:
  - split: train  # Example: train
    path: GDNCC_AU_detection_train.jsonl  # Example: data.csv
  - split: test # Example: test
    path: GDNCC_AU_detection_test.jsonl   # Example: holdout.csv
  - split: eval # Example: test
    path: GDNCC_AU_detection_valid.jsonl   # Example: holdout.csv
  - split: corpus  # Example: train
    path: GDNCC_AU_detection.jsonl  # Example: data.csv
---

# Dataset Card for Dataset Name


This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

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#### Personal and Sensitive Information

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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