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README.md

@@ -4,25 +4,23 @@ task_categories:
 - visual-question-answering
 language:
 - en
+pretty_name: ImagineOPD
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.parquet
 ---
 
-# Imagine-OPD
+# ImagineOPD
 
-This dataset contains 19648 normalized OPCD training examples for visual question answering with teacher-only visual evidence.
+This release contains 19648 normalized OPCD training examples for visual question answering with teacher-only visual evidence.
 
-Each row follows the normalized OPCD schema:
+The dataset is published as 20 self-contained parquet shards under `data/`. Image bytes are embedded in the parquet files, so no absolute local paths or separate image files are required.
 
-- `messages`: student-visible chat messages. The user message contains the original question and `<image>` placeholders; the assistant message contains `<answer>...</answer>`.
-- `images`: student-visible original image(s).
-- `teacher_images`: all student images first, followed by teacher-only crop image(s). EasyR1's `opcd_json.py` removes the leading student images when it builds the training parquet.
+Each row contains:
 
-The parquet stores relative image paths under images/; upload those files with the parquet.
-
-## Training Conversion
-
-```bash
-python training/EasyR1/examples/data_preprocess/opcd_json.py \
-  --input train.json \
-  --save_dir data/opcd_json
-```
+- `messages`: student-visible chat messages. The user message contains `<image>` placeholders and the question; the assistant message contains `<answer>...</answer>`.
+- `images`: student-visible original image(s), stored as Hugging Face `Image` values.
+- `teacher_images`: the student image(s) followed by teacher-only crop image(s), also stored as `Image` values.
 

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dataset_info.json

@@ -1,14 +1,16 @@
 {
-  "source_parquet": "data/treevgr_opcd_json/train_onecrop.parquet",
   "rows": 19648,
   "columns": [
     "messages",
     "images",
     "teacher_images"
   ],
-  "image_bytes_embedded_in_parquet": false,
-  "copied_image_files": true,
+  "split": "train",
+  "data_files": "data/train-*.parquet",
+  "image_bytes_embedded_in_parquet": true,
+  "source": "treevgr_opcd_json/train_onecrop.parquet",
   "unique_student_images": 19648,
   "unique_teacher_extra_images": 19648,
-  "path_policy": "All released image references are relative to the dataset repository root."
+  "shard_size": 1000,
+  "shards": 20
 }