✨ v2024.09.12 🏛️

README.md

@@ -34,11 +34,15 @@ configs:
     data_files: "cour_de_cassation.parquet"
 ---
 
+ Dataset Description
+ - **Repository:** https://huggingface.co/datasets/antoinejeannot/jurisprudence
+ - **Point of Contact:** [Antoine Jeannot](mailto:antoine.jeannot1002@gmail.com)
+ 
 <p align="center"><img src="https://raw.githubusercontent.com/antoinejeannot/jurisprudence/artefacts/jurisprudence.svg" width=650></p>
 
-[![Dataset on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-md-dark.svg)](https://huggingface.co/datasets/antoinejeannot/jurisprudence)[![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/antoinejeannot/jurisprudence)
+[![Dataset on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-md-dark.svg)](https://huggingface.co/datasets/antoinejeannot/jurisprudence) [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/antoinejeannot/jurisprudence)
 
-# ✨ Jurisprudence, release v2024.09.10 🏛️
+# ✨ Jurisprudence, release v2024.09.12 🏛️
 
 Jurisprudence is an open-source project that automates the collection and distribution of French legal decisions. It leverages the Judilibre API provided by the Cour de Cassation to:
 
@@ -53,14 +57,14 @@ Whether you're conducting legal research, developing AI models, or simply intere
 
 | Jurisdiction | Jurisprudences | Oldest | Latest | Tokens | JSONL (gzipped) | Parquet |
 |--------------|----------------|--------|--------|--------|-----------------|---------|
-| Cour d'Appel | 378,392 | 1996-03-25 | 2024-09-04 | 1,895,747,631 | [Download (1.66 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.jsonl.gz?download=true) | [Download (2.77 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.parquet?download=true) |
-| Cour de Cassation | 534,258 | 1860-08-01 | 2024-09-10 | 1,103,935,111 | [Download (928.92 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.jsonl.gz?download=true) | [Download (1.57 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet?download=true) |
-| Tribunal Judiciaire | 58,986 | 2023-12-14 | 2024-08-13 | 211,665,028 | [Download (189.16 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.jsonl.gz?download=true) | [Download (315.38 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.parquet?download=true) |
-| **Total** | **971,636** | **1860-08-01** | **2024-09-10** | **3,211,347,770** | **2.75 GB** | **4.65 GB** |
+| Cour d'Appel | 379,165 | 1996-03-25 | 2024-09-06 | 1,899,581,914 | [Download (1.66 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.jsonl.gz?download=true) | [Download (2.78 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.parquet?download=true) |
+| Tribunal Judiciaire | 63,158 | 2023-12-14 | 2024-09-05 | 225,568,187 | [Download (201.71 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.jsonl.gz?download=true) | [Download (336.30 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.parquet?download=true) |
+| Cour de Cassation | 534,299 | 1860-08-01 | 2024-09-12 | 1,103,819,676 | [Download (928.88 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.jsonl.gz?download=true) | [Download (1.57 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet?download=true) |
+| **Total** | **976,622** | **1860-08-01** | **2024-09-12** | **3,228,969,777** | **2.77 GB** | **4.68 GB** |
 
-<i>Latest update date: 2024-09-10</i>
+<i>Latest update date: 2024-09-12</i>
 
-<i># Tokens are computed using GPT-4 tiktoken and the `text` column</i>
+<i># Tokens are computed using GPT-4 tiktoken and the `text` column.</i>
 
 ## 🤗 Hugging Face Dataset
 
@@ -77,8 +81,8 @@ import datasets
 dataset = load_dataset("antoinejeannot/jurisprudence")
 dataset.shape
 >> {'tribunal_judiciaire': (58986, 33),
- 'cour_d_appel': (378392, 33),
- 'cour_de_cassation': (534258, 33)}
+'cour_d_appel': (378392, 33),
+'cour_de_cassation': (534258, 33)}
 
 # alternatively, you can load each jurisdiction separately
 cour_d_appel = load_dataset("antoinejeannot/jurisprudence", "cour_d_appel")
@@ -106,7 +110,6 @@ import duckdb
 table = duckdb.read_parquet(url)
 ```
 
-
 ## 🪪 Citing & Authors
 
 If you use this code in your research, please use the following BibTeX entry:
@@ -122,6 +125,6 @@ note = {Data source: API Judilibre, \url{https://www.data.gouv.fr/en/datasets/ap
 
 This project relies on the [Judilibre API par la Cour de Cassation](https://www.data.gouv.fr/en/datasets/api-judilibre/), which is made available under the Open License 2.0 (Licence Ouverte 2.0)
 
-It scans the API every 3 days at 2am UTC and exports its data in various formats to Hugging Face, without any fundamental transformation but conversions.
+It scans the API every 3 days at midnight UTC and exports its data in various formats to Hugging Face, without any fundamental transformation but conversions.
 
 <p align="center"><a href="https://www.etalab.gouv.fr/licence-ouverte-open-licence/"><img src="https://raw.githubusercontent.com/antoinejeannot/jurisprudence/artefacts/license.png" width=50 alt="license ouverte / open license"></a></p>

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