add flowgrpo_ocr/ + flowgrpo_pickscore/ + updated README

README.md

@@ -1,19 +1,23 @@
-# miles-diffusion-prompts
+# miles-diffusion-datasets
 
 Prompt datasets used by the miles-diffusion training pipeline.
 
 ## Layout
 
 ```
-ocr/
-├── train.jsonl     # 19,653 OCR-style prompts for training
-└── test.jsonl      # 1,018 OCR-style prompts for eval
+flowgrpo_ocr/                    # OCR-style prompts from flowGRPO
+├── train.jsonl                  # 19,653
+└── test.jsonl                   # 1,018
 
-pickscore/
-├── train.jsonl     # 25,432 PickScore-style prompts for training
-└── test.jsonl      # 2,048 PickScore-style prompts for eval
+flowgrpo_pickscore/              # PickScore prompts from flowGRPO
+├── train.jsonl                  # 25,432
+└── test.jsonl                   # 2,048
 ```
 
+Directory prefixes (`flowgrpo_*`) record the upstream source so the schema
+stays clear when more datasets land here later (other reward families,
+internal prompts, etc.).
+
 ## Format
 
 Each `.jsonl` file has one JSON object per line:
@@ -27,17 +31,18 @@ UTF-8 encoded (`ensure_ascii=False`), no escaping for non-ASCII characters.
 ## Usage
 
 ```bash
-hf download --repo-type dataset <namespace>/miles-diffusion-prompts \
-    --local-dir /root/datasets/miles-diffusion-prompts
+hf download --repo-type dataset rockdu/miles-diffusion-datasets \
+    --local-dir /root/datasets/miles-diffusion-datasets
 
 python train_diffusion.py \
-    --prompt-data /root/datasets/miles-diffusion-prompts/ocr/train.jsonl \
-    --eval-prompt-data ocr_test /root/datasets/miles-diffusion-prompts/ocr/test.jsonl \
+    --prompt-data /root/datasets/miles-diffusion-datasets/flowgrpo_ocr/train.jsonl \
+    --eval-prompt-data ocr_test /root/datasets/miles-diffusion-datasets/flowgrpo_ocr/test.jsonl \
     ...
 ```
 
 ## Provenance
 
-Originally extracted from [flow_grpo](https://github.com/yifan123/flow_grpo)'s
+`flowgrpo_*` directories: extracted from
+[flow_grpo](https://github.com/yifan123/flow_grpo)'s
 `dataset/{ocr,pickscore}/{train,test}.txt` files (one prompt per line) and
 converted to `{"input": prompt}` JSONL format.