Update README.md

README.md

@@ -19,7 +19,7 @@ license: etalab-2.0
 # 🇫🇷 Data.gouv.fr Datasets Catalog
 
 This dataset contains a processed and embedded version of the **catalog of datasets published on [data.gouv.fr](https://www.data.gouv.fr)**, the French open data platform.
-The dataset was published by data.gouv.fr on the [dedicated dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).
+The dataset was published by data.gouv.fr on its [dedicated dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).
 
 It includes rich metadata about each public dataset: title, URL, publisher organization, description, tags, licensing, update frequency, usage metrics, and more.
 The dataset provides semantic-ready and structured for semantic indexing and retrieval. 
@@ -70,7 +70,7 @@ The dataset is provided in **Parquet format** and contains the following columns
 | `metric_followers_by_months` | `str`             | Monthly follower statistics (as JSON string or number).                     |
 | `metric_views`               | `int`             | Number of views.                                                            |
 | `metric_resources_downloads` | `float`           | Number of resource downloads.                                               |
-| `chunk_text`                 | `str`             | Text used for semantic embedding (title + organization + croped description).|
+| `chunk_text`                 | `str`             | Text used for semantic embedding (title + organization + cropped description).|
 | `embeddings_bge-m3`          | `str` (stringified list) | Embedding of `chunk_text` using `BAAI/bge-m3`. Stored as JSON array string. |
 
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@@ -79,14 +79,14 @@ The dataset is provided in **Parquet format** and contains the following columns
 
 ### 📥 1. Field Extraction
 
-The original dataset was retrieved directly from the official [dedicated dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).
-This dataset only includes data.gouv.fr datasets that have at least a 1000 caracters description to remove as much noise as possible from incomplete datasets.
+The original dataset was retrieved directly from its official [dataset page](https://www.data.gouv.fr/datasets/catalogue-des-donnees-de-data-gouv-fr/).
+This dataset only includes data.gouv.fr datasets that have at least a 100 characters description to remove as much noise as possible from incomplete datasets.
 
 ### ✂️ 2. Text Chunking
 
 The `chunk_text` field was created by combining the `title`, `organization` name, `description`. 
 
-The `description` was croped to a maximum length of +- 1000 caracters.
+The `description` was cropped to a maximum length of +- 1000 characters.
 The Langchain's `RecursiveCharacterTextSplitter` function was used to crop the description. 
 
 The parameters used are : 
@@ -94,7 +94,7 @@ The parameters used are :
 - `chunk_overlap` = 20
 - `length_function` = len
 
-Then, only the first splitted text was keeped. Which leads to have a cropped description of a maximum of +- 1000 caracters.
+Then, only the first splitted text was keeped. Which leads to have a cropped description of a maximum of +- 1000 characters.
 
 ### 🧠 3. Embedding Generation