update readme

README.md

@@ -10,4 +10,24 @@ size_categories: 10K<n<100K
 **QR-AN Dataset: a classification 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).
+
+It contains 188 unbalanced classes, 80k questions-answers divided into 3 splits: train (60k), val (10k) and test (10k). \
+
+Compatible with [run_glue.py](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification) 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
+```