Create README.md
#1
by
louisbrulenaudet
- opened
README.md
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
task_categories:
|
4 |
+
- summarization
|
5 |
+
- text-generation
|
6 |
+
- feature-extraction
|
7 |
+
tags:
|
8 |
+
- legal
|
9 |
+
- droit
|
10 |
+
- jurisprudence
|
11 |
+
- cassation
|
12 |
+
- judilibre
|
13 |
+
pretty_name: >-
|
14 |
+
Training dataset for summarizing decisions of the French Court of
|
15 |
+
Cassation
|
16 |
+
size_categories:
|
17 |
+
- 10K<n<100K
|
18 |
+
---
|
19 |
+
|
20 |
+
## Dataset Description
|
21 |
+
- **Repository:** https://huggingface.co/datasets/maurya/ccass_arrets_sommaires
|
22 |
+
- **Leaderboard:** N/A
|
23 |
+
- **Point of Contact:** [Amaury Fouret](mailto:[email protected])
|
24 |
+
|
25 |
+
# Training dataset for summarizing decisions of the French Court of Cassation based on motivations
|
26 |
+
|
27 |
+
This dataset makes it possible to produce qualitative summaries based on the reasons given by the Court of Cassation and can be integrated into RAG systems with a low number of tokens (RoBERTa, etc.).
|
28 |
+
|
29 |
+
## Feedback
|
30 |
+
|
31 |
+
If you have any feedback, please reach out at [Amaury Fouret](mailto:[email protected]).
|