Update README.md

README.md

@@ -1,49 +1,57 @@
----
-license: apache-2.0
----
-
-# Synthetic NBA Mentions Dataset
-
-## Overview
-This dataset consists of 1617 synthetically generated samples, divided into training and test sets. Each sample is annotated with relevant NBA team and player names, and the dataset is designed to support tasks such as named entity recognition (NER) in the context of NBA-related text.
-
-## Dataset Structure
-Each sample in the dataset follows the JSON format below:
-
-```json
-{
-  "sentence": "Les wizards ont perdu face aux Spurs, même si scott williams a fait un excellent match.",
-  "llm_model_id": "hf.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF:UD-Q4_K_XL",
-  "category": "General NBA Mentions",
-  "language": "French",
-  "annotation": {
-    "team_names": [
-      "wizards",
-      "Spurs"
-    ],
-    "player_names": [
-      "scott williams"
-    ]
-  }
-}
-```
-
-### Fields
-- **sentence**: A synthetically generated sentence mentioning NBA teams and/or players.
-- **llm_model_id**: The identifier of the language model used to generate the sentence.
-- **category**: The category of the mention (e.g., "General NBA Mentions").
-- **language**: The language of the sentence (e.g., "French").
-- **annotation**: Structured annotations containing:
-  - **team_names**: List of NBA team names mentioned in the sentence.
-  - **player_names**: List of NBA player names mentioned in the sentence.
-
-## Generation Process
-The sentences were generated using the following LLMs:
-- `hf.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF:UD-Q4_K_XL`
-- `mistral-small3.2:24b-instruct-2506-q4_K_M`
-
-Annotations were performed using larger LLMs, followed by a human review to ensure accuracy and correct any errors.
-
-## Repository
-The code used to generate this dataset is available in the following repository:
-[pdgarden/ner-llm-finetuning](https://github.com/pdgarden/ner-llm-finetuning)
+---
+license: apache-2.0
+language:
+- en
+- fr
+tags:
+- nba
+- basketball
+size_categories:
+- 1K<n<10K
+---
+
+# Synthetic NBA Mentions Dataset
+
+## Overview
+This dataset consists of 1617 synthetically generated samples, divided into training and test sets. Each sample is annotated with relevant NBA team and player names, and the dataset is designed to support tasks such as named entity recognition (NER) in the context of NBA-related text.
+
+## Dataset Structure
+Each sample in the dataset follows the JSON format below:
+
+```json
+{
+  "sentence": "Les wizards ont perdu face aux Spurs, même si scott williams a fait un excellent match.",
+  "llm_model_id": "hf.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF:UD-Q4_K_XL",
+  "category": "General NBA Mentions",
+  "language": "French",
+  "annotation": {
+    "team_names": [
+      "wizards",
+      "Spurs"
+    ],
+    "player_names": [
+      "scott williams"
+    ]
+  }
+}
+```
+
+### Fields
+- **sentence**: A synthetically generated sentence mentioning NBA teams and/or players.
+- **llm_model_id**: The identifier of the language model used to generate the sentence.
+- **category**: The category of the mention (e.g., "General NBA Mentions").
+- **language**: The language of the sentence (e.g., "French").
+- **annotation**: Structured annotations containing:
+  - **team_names**: List of NBA team names mentioned in the sentence.
+  - **player_names**: List of NBA player names mentioned in the sentence.
+
+## Generation Process
+The sentences were generated using the following LLMs:
+- `hf.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF:UD-Q4_K_XL`
+- `mistral-small3.2:24b-instruct-2506-q4_K_M`
+
+Annotations were performed using larger LLMs, followed by a human review to ensure accuracy and correct any errors.
+
+## Repository
+The code used to generate this dataset is available in the following repository:
+[pdgarden/ner-llm-finetuning](https://github.com/pdgarden/ner-llm-finetuning)