metadata
language:
- fr
size_categories: 10K<n<100K
task_categories:
- text-classification
- text-generation
task_ids:
- multi-class-classification
- topic-classification
- summarization
tags:
- conditional-text-generation
QR-AN Dataset: a classification and generation dataset of french Parliament questions-answers.
This is a dataset for theme/topic classification, made of questions and answers from https://www2.assemblee-nationale.fr/recherche/resultats_questions . \
It contains 188 unbalanced classes, 80k questions-answers divided into 3 splits: train (60k), val (10k) and test (10k). \
Can be used for generation with 'qran_generation'
This dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable:
"ccdv/cass-summarization": ("question", "answer")
Compatible with run_glue.py script:
export MODEL_NAME=camembert-base
export MAX_SEQ_LENGTH=512
python run_glue.py \
--model_name_or_path $MODEL_NAME \
--dataset_name cassandra-themis/QR-AN \
--do_train \
--do_eval \
--max_seq_length $MAX_SEQ_LENGTH \
--per_device_train_batch_size 8 \
--gradient_accumulation_steps 4 \
--learning_rate 2e-5 \
--num_train_epochs 1 \
--max_eval_samples 500 \
--output_dir tmp/QR-AN