diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
[](https://huggingface.co/datasets/antoinejeannot/jurisprudence) [](https://github.com/antoinejeannot/jurisprudence)
-# ✨ Jurisprudence, release v2024.10.20 🏛️
+# ✨ Jurisprudence, release v2024.10.22 🏛️
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:
@@ -17,12 +17,12 @@ Whether you're conducting legal research, developing AI models, or simply intere
| Jurisdiction | Jurisprudences | Oldest | Latest | Tokens | JSONL (gzipped) | Parquet |
|--------------|----------------|--------|--------|--------|-----------------|---------|
-| Cour d'Appel | 393,528 | 1996-03-25 | 2024-10-17 | 1,969,498,268 | [Download (1.72 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.jsonl.gz?download=true) | [Download (2.88 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.parquet?download=true) |
-| Tribunal Judiciaire | 78,227 | 2023-12-14 | 2024-10-14 | 278,779,170 | [Download (251.72 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.jsonl.gz?download=true) | [Download (417.80 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.parquet?download=true) |
-| Cour de Cassation | 536,698 | 1860-08-01 | 2024-10-17 | 1,107,052,096 | [Download (931.72 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.jsonl.gz?download=true) | [Download (1.58 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet?download=true) |
-| **Total** | **1,008,453** | **1860-08-01** | **2024-10-17** | **3,355,329,534** | **2.88 GB** | **4.86 GB** |
+| Cour d'Appel | 394,430 | 1996-03-25 | 2024-10-17 | 1,973,704,478 | [Download (1.73 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.jsonl.gz?download=true) | [Download (2.88 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.parquet?download=true) |
+| Tribunal Judiciaire | 79,188 | 2023-12-14 | 2024-10-17 | 282,055,094 | [Download (254.85 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.jsonl.gz?download=true) | [Download (422.93 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.parquet?download=true) |
+| Cour de Cassation | 537,000 | 1860-08-01 | 2024-10-17 | 1,107,418,242 | [Download (931.99 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.jsonl.gz?download=true) | [Download (1.58 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet?download=true) |
+| **Total** | **1,010,618** | **1860-08-01** | **2024-10-17** | **3,363,177,814** | **2.89 GB** | **4.88 GB** |
-Latest update date: 2024-10-20
+Latest update date: 2024-10-22
# Tokens are computed using GPT-4 tiktoken and the `text` column.
diff --git a/jurisprudence/settings.py b/jurisprudence/settings.py
index 66e14e8..509fcab 100644
--- a/jurisprudence/settings.py
+++ b/jurisprudence/settings.py
@@ -1 +1 @@
-JURISPRUDENCE_LAST_EXPORT_DATETIME = "2024-10-20 06:52:42"
+JURISPRUDENCE_LAST_EXPORT_DATETIME = "2024-10-22 01:05:15"
diff --git a/release_notes/v2024.10.22.md b/release_notes/v2024.10.22.md
new file mode 100644
index 0000000..54e5d12
--- /dev/null
+++ b/release_notes/v2024.10.22.md
@@ -0,0 +1,90 @@
+
+
+[](https://huggingface.co/datasets/antoinejeannot/jurisprudence) [](https://github.com/antoinejeannot/jurisprudence)
+
+# ✨ Jurisprudence, release v2024.10.22 🏛️
+
+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:
+
+- Fetch rulings from major French courts (Cour de Cassation, Cour d'Appel, Tribunal Judiciaire)
+- Process and convert the data into easily accessible formats
+- Publish & version updated datasets on Hugging Face every few days.
+
+It aims to democratize access to legal information, enabling researchers, legal professionals and the public to easily access and analyze French court decisions.
+Whether you're conducting legal research, developing AI models, or simply interested in French jurisprudence, this project might provide a valuable, open resource for exploring the French legal landscape.
+
+## 📊 Exported Data
+
+| Jurisdiction | Jurisprudences | Oldest | Latest | Tokens | JSONL (gzipped) | Parquet |
+|--------------|----------------|--------|--------|--------|-----------------|---------|
+| Cour d'Appel | 394,430 | 1996-03-25 | 2024-10-17 | 1,973,704,478 | [Download (1.73 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.jsonl.gz?download=true) | [Download (2.88 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_d_appel.parquet?download=true) |
+| Tribunal Judiciaire | 79,188 | 2023-12-14 | 2024-10-17 | 282,055,094 | [Download (254.85 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.jsonl.gz?download=true) | [Download (422.93 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/tribunal_judiciaire.parquet?download=true) |
+| Cour de Cassation | 537,000 | 1860-08-01 | 2024-10-17 | 1,107,418,242 | [Download (931.99 MB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.jsonl.gz?download=true) | [Download (1.58 GB)](https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet?download=true) |
+| **Total** | **1,010,618** | **1860-08-01** | **2024-10-17** | **3,363,177,814** | **2.89 GB** | **4.88 GB** |
+
+Latest update date: 2024-10-22
+
+# Tokens are computed using GPT-4 tiktoken and the `text` column.
+
+## 🤗 Hugging Face Dataset
+
+The up-to-date jurisprudences dataset is available at: https://huggingface.co/datasets/antoinejeannot/jurisprudence in JSONL (gzipped) and parquet formats.
+
+This allows you to easily fetch, query, process and index all jurisprudences in the blink of an eye!
+
+### Usage Examples
+#### HuggingFace Datasets
+```python
+# pip install datasets
+import datasets
+
+dataset = load_dataset("antoinejeannot/jurisprudence")
+dataset.shape
+>> {'tribunal_judiciaire': (58986, 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")
+tribunal_judiciaire = load_dataset("antoinejeannot/jurisprudence", "tribunal_judiciaire")
+cour_de_cassation = load_dataset("antoinejeannot/jurisprudence", "cour_de_cassation")
+```
+
+Leveraging datasets allows you to easily ingest data to [PyTorch](https://huggingface.co/docs/datasets/use_with_pytorch), [Tensorflow](https://huggingface.co/docs/datasets/use_with_tensorflow), [Jax](https://huggingface.co/docs/datasets/use_with_jax) etc.
+
+#### BYOL: Bring Your Own Lib
+For analysis, using polars, pandas or duckdb is quite common and also possible:
+```python
+url = "https://huggingface.co/datasets/antoinejeannot/jurisprudence/resolve/main/cour_de_cassation.parquet" # or tribunal_judiciaire.parquet, cour_d_appel.parquet
+
+# pip install polars
+import polars as pl
+df = pl.scan_parquet(url)
+
+# pip install pandas
+import pandas as pd
+df = pd.read_parquet(url)
+
+# pip install duckdb
+import duckdb
+table = duckdb.read_parquet(url)
+```
+
+## 🪪 Citing & Authors
+
+If you use this code in your research, please use the following BibTeX entry:
+```bibtex
+@misc{antoinejeannot2024,
+author = {Jeannot Antoine and {Cour de Cassation}},
+title = {Jurisprudence},
+year = {2024},
+howpublished = {\url{https://github.com/antoinejeannot/jurisprudence}},
+note = {Data source: API Judilibre, \url{https://www.data.gouv.fr/en/datasets/api-judilibre/}}
+}
+```
+
+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 midnight UTC and exports its data in various formats to Hugging Face, without any fundamental transformation but conversions.
+
+
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