Update README.md

README.md

@@ -9,14 +9,14 @@ tags:
 - open-data
 - government
 - etalab
-pretty_name: French State Administrative Directory
+pretty_name: French State Administrations Directory
 size_categories:
 - 1K<n<10K
 license: etalab-2.0
 ---
-# 🇫🇷 French State Administrative Directory Dataset
+# 🇫🇷 French State Administrations Directory Dataset
 
-This dataset is a processed and embedded version of the public data **Référentiel de l’organisation administrative de l’État** (French State Administrative Directory), published by **DILA** (Direction de l'information légale et administrative) on [data.gouv.fr](https://www.data.gouv.fr/fr/datasets/referentiel-de-lorganisation-administrative-de-letat/).
+This dataset is a processed and embedded version of the public data **Référentiel de l’organisation administrative de l’État** (French State Administrations Directory), published by **DILA** (Direction de l'information légale et administrative) on [data.gouv.fr](https://www.data.gouv.fr/fr/datasets/referentiel-de-lorganisation-administrative-de-letat/).
 This information is also available on the official directory website of Service-Public.fr: https://lannuaire.service-public.fr/
 
 The dataset provides semantic-ready, structured and chunked data of French state entities, including organizational details, missions, contact information, and hierarchical links. Each chunk of text is vectorized using the [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) embedding model to enable semantic search and retrieval tasks.
@@ -93,7 +93,7 @@ For example, if you want to load the dataset into a dataframe :
 import pandas as pd
 import json
 
-df = pd.read_parquet("state_administrations_directory.parquet")
+df = pd.read_parquet("state-administrations-directory-latest.parquet")
 df["embeddings_bge-m3"] = df["embeddings_bge-m3"].apply(json.loads)
 ```