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Prompt datasets used by the miles-diffusion training pipeline.
## Layout
```
flowgrpo_ocr/ # OCR-style prompts from flowGRPO
├── train.jsonl # 19,653
└── test.jsonl # 1,018
flowgrpo_pickscore/ # PickScore prompts from flowGRPO
├── train.jsonl # 25,432
└── test.jsonl # 2,048
hpdv2/ # Deduplicated prompts from HPDv2
├── train.jsonl # 103,672
└── test.jsonl # 242
```
Directory names 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:
```json
{"input": "A close-up of a medicine bottle with a clear, red warning label..."}
```
UTF-8 encoded (`ensure_ascii=False`), no escaping for non-ASCII characters.
## Usage
```bash
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-datasets/flowgrpo_ocr/train.jsonl \
--eval-prompt-data ocr_test /root/datasets/miles-diffusion-datasets/flowgrpo_ocr/test.jsonl \
...
```
## Provenance
`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.
`hpdv2/`: extracted from the `prompt` field of
[`ymhao/HPDv2`](https://huggingface.co/datasets/ymhao/HPDv2) at revision
`bb0f2563e451e11c3f376b2ba93615db00e042e1`. Prompts are stripped, empty or
non-string values are dropped, and each source split is deduplicated while
preserving first occurrence. Prompts present in `train` are removed from
`test`, leaving no cross-split overlap. The source dataset is licensed under
Apache-2.0; please cite the original
[HPSv2 paper](https://arxiv.org/abs/2306.09341) when using these prompts.
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