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README.md

@@ -1,43 +1,113 @@
 ---
+license: cc-by-4.0
+task_categories:
+  - visual-question-answering
+  - image-to-text
+language:
+  - bn
+  - en
+  - gu
+  - hi
+  - kn
+  - ml
+  - mr
+  - ne
+  - pa
+  - ta
+  - te
+tags:
+  - chart-qa
+  - multilingual
+  - indic
+  - vqa
+  - chart-understanding
+size_categories:
+  - 100K<n<1M
 dataset_info:
   features:
-  - name: image_id
-    dtype: string
-  - name: image
-    dtype: image
-  - name: chart_type
-    dtype: string
-  - name: language
-    dtype: string
-  - name: split
-    dtype: string
-  - name: question_ids
-    list: int64
-  - name: questions
-    list: string
-  - name: answers
-    list: string
-  - name: question_types
-    list: string
+    - name: image_id
+      dtype: string
+    - name: image
+      dtype: image
+    - name: chart_type
+      dtype: string
+    - name: language
+      dtype: string
+    - name: split
+      dtype: string
+    - name: question_ids
+      sequence: int64
+    - name: questions
+      sequence: string
+    - name: answers
+      sequence: string
+    - name: question_types
+      sequence: string
   splits:
-  - name: train
-    num_bytes: 20228764608
-    num_examples: 352000
-  - name: validation
-    num_bytes: 2853435563
-    num_examples: 44000
-  - name: test
-    num_bytes: 2924514076
-    num_examples: 44000
-  download_size: 23771758065
-  dataset_size: 26006714247
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 352000
+    - name: validation
+      num_examples: 44000
+    - name: test
+      num_examples: 44000
 ---
+
+# MLCQA v1
+
+**M**ultilingual **L**anguage **C**hart **Q**uestion **A**nswering — A large-scale
+multilingual Chart VQA dataset covering **11 languages** and **8 chart types**.
+
+## Dataset Summary
+
+| Metric | Count |
+|---|---|
+| **Total Images** | 440,000 |
+| **Total QA Pairs** | 4,400,000 |
+| **Languages** | 11 (bn, en, gu, hi, kn, ml, mr, ne, pa, ta, te) |
+| **Chart Types** | 8 (area, donut, grouped_bar, horizontal_bar, line, pie, stacked_bar, vertical_bar) |
+| **Questions per Image** | 10 |
+| **Random Seed** | 22 |
+
+### Splits
+
+| Split | Images | QA Pairs |
+|---|---|---|
+| Train | 352,000 | 3,520,000 |
+| Validation | 44,000 | 440,000 |
+| Test | 44,000 | 440,000 |
+
+## Data Format
+
+The dataset is stored in Parquet format with **one row per image**. Each row
+contains the chart image and a list of 10 question–answer pairs.
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("MLCQA/MLCQA-dataset")
+
+# Access data
+example = ds["train"][0]
+print(example["image_id"])        # "train_en_bar_0101"
+print(example["image"])           # PIL Image
+print(example["questions"])       # list of 10 questions
+print(example["answers"])         # list of 10 answers
+print(example["chart_type"])      # "vertical_bar"
+print(example["language"])        # "en"
+```
+
+### Schema
+
+| Field | Type | Description |
+|---|---|---|
+| `image_id` | string | Unique image identifier (`{split}_{lang}_{chart}_{num}`) |
+| `image` | image | Chart image (PNG embedded as bytes) |
+| `chart_type` | string | Type of chart (area, donut, grouped_bar, etc.) |
+| `language` | string | ISO 639-1 language code |
+| `split` | string | Dataset split (train/validation/test) |
+| `question_ids` | list[int] | List of 10 globally unique question IDs |
+| `questions` | list[string] | List of 10 natural language questions |
+| `answers` | list[string] | List of 10 ground-truth answers |
+| `question_types` | list[string] | List of 10 question categories |