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README.md

@@ -1,13 +1,18 @@
 ---
+license: apache-2.0
 language:
 - fr
-license: apache-2.0
 multilinguality:
 - monolingual
-size_categories:
-- 1K<n<10K
+tags:
+- finetuning
+- legal
+- french law
+- droit français
+- Code du tourisme
 source_datasets:
 - original
+pretty_name: Code du tourisme
 task_categories:
 - text-generation
 - table-question-answering
@@ -15,40 +20,10 @@ task_categories:
 - text-retrieval
 - question-answering
 - text-classification
-pretty_name: Code du tourisme
-tags:
-- finetuning
-- legal
-- french law
-- droit français
-- Code du tourisme
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: instruction
-    dtype: string
-  - name: input
-    dtype: string
-  - name: output
-    dtype: string
-  - name: start
-    dtype: string
-  - name: expiration
-    dtype: string
-  - name: num
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 541490
-    num_examples: 648
-  download_size: 203556
-  dataset_size: 541490
+size_categories:
+- 1K<n<10K
 ---
-# Code du tourisme, non-instruct (2024-08-11)
+# Code du tourisme, non-instruct (2024-08-12)
 
 This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice.