louisbrulenaudet commited on
Commit
123aa89
1 Parent(s): cc31a58

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +11 -36
README.md CHANGED
@@ -1,13 +1,18 @@
1
  ---
 
2
  language:
3
  - fr
4
- license: apache-2.0
5
  multilinguality:
6
  - monolingual
7
- size_categories:
8
- - 1K<n<10K
 
 
 
 
9
  source_datasets:
10
  - original
 
11
  task_categories:
12
  - text-generation
13
  - table-question-answering
@@ -15,40 +20,10 @@ task_categories:
15
  - text-retrieval
16
  - question-answering
17
  - text-classification
18
- pretty_name: Code des transports
19
- tags:
20
- - finetuning
21
- - legal
22
- - french law
23
- - droit français
24
- - Code des transports
25
- configs:
26
- - config_name: default
27
- data_files:
28
- - split: train
29
- path: data/train-*
30
- dataset_info:
31
- features:
32
- - name: instruction
33
- dtype: string
34
- - name: input
35
- dtype: string
36
- - name: output
37
- dtype: string
38
- - name: start
39
- dtype: string
40
- - name: expiration
41
- dtype: string
42
- - name: num
43
- dtype: string
44
- splits:
45
- - name: train
46
- num_bytes: 7588653
47
- num_examples: 8658
48
- download_size: 2688749
49
- dataset_size: 7588653
50
  ---
51
- # Code des transports, non-instruct (2024-05-21)
52
 
53
  This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice.
54
 
 
1
  ---
2
+ license: apache-2.0
3
  language:
4
  - fr
 
5
  multilinguality:
6
  - monolingual
7
+ tags:
8
+ - finetuning
9
+ - legal
10
+ - french law
11
+ - droit français
12
+ - Code des transports
13
  source_datasets:
14
  - original
15
+ pretty_name: Code des transports
16
  task_categories:
17
  - text-generation
18
  - table-question-answering
 
20
  - text-retrieval
21
  - question-answering
22
  - text-classification
23
+ size_categories:
24
+ - 1K<n<10K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
  ---
26
+ # Code des transports, non-instruct (2024-05-22)
27
 
28
  This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice.
29