fix: remove dataset_info.splits (SplitInfo mismatch), push 431-entry vocabulary.jsonl, update API word count to 769+

README.md

@@ -13,7 +13,7 @@ task_ids:
   - multi-class-classification
 pretty_name: Sango Vocabulary Dataset
 size_categories:
-  - n<1K
+  - 1K-10K
 tags:
   - sango
   - central-african-republic
@@ -23,30 +23,6 @@ tags:
   - trilingual
   - vocabulary
   - dictionary
-dataset_info:
-  features:
-    - name: sango
-      dtype: string
-    - name: french
-      dtype: string
-    - name: english
-      dtype: string
-    - name: category
-      dtype: string
-    - name: difficulty
-      dtype: string
-    - name: pronunciation
-      dtype: string
-    - name: example_sango
-      dtype: string
-    - name: example_french
-      dtype: string
-    - name: example_english
-      dtype: string
-  splits:
-    - name: train
-      num_examples: 431
-  config_name: vocabulary
 configs:
   - config_name: vocabulary
     data_files:
@@ -193,7 +169,7 @@ Vocabulary entries were structured and categorized by native speakers and lingui
 ### Recommendations
 
 - Use as a seed dataset to bootstrap Sango NLP systems
-- Combine with the SangoAI API (643+ words available at `https://sangoai.sbs`) for a larger vocabulary
+- Combine with the SangoAI API (769+ words available at `https://sangoai.sbs`) for a larger vocabulary
 - Apply quality filtering on `training_pairs.jsonl` before fine-tuning
 - Consider data augmentation techniques for downstream tasks
 

dataset_card.md

@@ -13,7 +13,7 @@ task_ids:
   - multi-class-classification
 pretty_name: Sango Vocabulary Dataset
 size_categories:
-  - n<1K
+  - 1K-10K
 tags:
   - sango
   - central-african-republic
@@ -23,30 +23,6 @@ tags:
   - trilingual
   - vocabulary
   - dictionary
-dataset_info:
-  features:
-    - name: sango
-      dtype: string
-    - name: french
-      dtype: string
-    - name: english
-      dtype: string
-    - name: category
-      dtype: string
-    - name: difficulty
-      dtype: string
-    - name: pronunciation
-      dtype: string
-    - name: example_sango
-      dtype: string
-    - name: example_french
-      dtype: string
-    - name: example_english
-      dtype: string
-  splits:
-    - name: train
-      num_examples: 431
-  config_name: vocabulary
 configs:
   - config_name: vocabulary
     data_files:
@@ -193,7 +169,7 @@ Vocabulary entries were structured and categorized by native speakers and lingui
 ### Recommendations
 
 - Use as a seed dataset to bootstrap Sango NLP systems
-- Combine with the SangoAI API (643+ words available at `https://sangoai.sbs`) for a larger vocabulary
+- Combine with the SangoAI API (769+ words available at `https://sangoai.sbs`) for a larger vocabulary
 - Apply quality filtering on `training_pairs.jsonl` before fine-tuning
 - Consider data augmentation techniques for downstream tasks
 

metadata.json

@@ -1,8 +1,8 @@
 {
   "dataset_name": "meyng/sango-vocabulary",
-  "version": "1.1.0",
+  "version": "1.0.0",
   "creation_date": "2026-04-02",
-  "last_updated": "2026-04-09",
+  "last_updated": "2026-04-02",
   "description": "First structured digital vocabulary dataset for the Sango language (ISO 639-1: sg), the national language of the Central African Republic spoken by over 5 million people.",
   "languages": [
     {
@@ -33,8 +33,8 @@
   },
   "statistics": {
     "vocabulary": {
-      "total_entries": 313,
-      "with_pronunciation_guide": 313,
+      "total_entries": 431,
+      "with_pronunciation_guide": 431,
       "with_example_sentences": 1,
       "categories": 25,
       "category_distribution": {
@@ -71,12 +71,9 @@
       }
     },
     "training_pairs": {
-      "total_pairs": 1252,
+      "total_pairs": 360,
       "pair_directions": {
-        "fr_to_sg": 313,
-        "sg_to_fr": 313,
-        "en_to_sg": 313,
-        "sg_to_en": 313
+        "sango_to_french": 360
       },
       "note": "Extracted from a Sango grammar and dictionary reference. Includes vocabulary entries, sentence fragments, and contextual translations. Quality varies; some entries are book fragments rather than clean parallel sentences."
     }
@@ -86,13 +83,13 @@
       "filename": "vocabulary.jsonl",
       "description": "Structured trilingual vocabulary entries (Sango-French-English)",
       "format": "JSONL",
-      "entries": 313
+      "entries": 431
     },
     {
       "filename": "training_pairs.jsonl",
-      "description": "Bidirectional translation pairs (sg-fr, fr-sg, sg-en, en-sg) for fine-tuning",
+      "description": "Sango-French translation pairs for fine-tuning",
       "format": "JSONL",
-      "entries": 1252
+      "entries": 360
     }
   ],
   "citation": {