Add dataset card

README.md

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+---
+language:
+- en
+- it
+- fr
+- de
+- es
+license: other
+task_categories:
+- visual-question-answering
+- question-answering
+tags:
+- chart-qa
+- plot-qa
+- multilingual
+configs:
+- config_name: en
+  data_files:
+  - split: train
+    path: en/train-*.parquet
+- config_name: it
+  data_files:
+  - split: train
+    path: it/train-*.parquet
+- config_name: fr
+  data_files:
+  - split: train
+    path: fr/train-*.parquet
+- config_name: de
+  data_files:
+  - split: train
+    path: de/train-*.parquet
+- config_name: es
+  data_files:
+  - split: train
+    path: es/train-*.parquet
+---
+
+# Multi-PlotQA
+
+Multilingual chart question answering dataset. Each language is a separate config (subset).
+
+## Configs
+
+| config | language | rows | size |
+|--------|----------|------|------|
+| `en` | English | 8,109,641 | 2.6 GB |
+| `it` | Italian | 3,031,539 | 998.4 MB |
+| `fr` | French | 3,057,816 | 1.1 GB |
+| `de` | German | 3,010,298 | 1.1 GB |
+| `es` | Spanish | 3,040,185 | 1.1 GB |
+
+## Schema
+
+| column     | type                          | description |
+|------------|-------------------------------|-------------|
+| `images`   | `Image`                       | the rendered chart (PNG) |
+| `messages` | `list[{role, content}]`       | chat-format conversation: user turn holds the image + question, assistant turn holds the answer |
+| `question` | `string`                      | the question in the config's language |
+| `answer`   | `string`                      | the answer (numeric answers are stored as strings) |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("<repo_id>", "en", split="train")
+print(ds[0]["question"])
+print(ds[0]["answer"])
+ds[0]["images"][0].show()
+```
+
+## Notes
+
+* `images` is a single-element list containing the chart image.
+* `messages` follows the chat format used by vision-language models.
+* Numeric answers are stored as strings to keep the column type stable.