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DRT RL Training Data
Paper: DRT: Dense Reasoning Trace for Efficient and Grounded Multimodal Reasoning
Original files from the DRT project's VisionR1_DAPO data directory, with parquet contents preserved. Machine-specific paths have been removed from metadata.
| File | Rows | Bytes | Purpose |
|---|---|---|---|
| train.parquet | 14,724 | 491,270,387 | Original VisionR1 + DAPO training set |
| test.parquet | 618 | 26,499,711 | Evaluation split |
| mmfinereason_train.parquet | 32,362 | 1,157,889,880 | Additional mmfinereason training set |
| mmfinereason_train_summary.json | - | 581 | Preprocessing statistics (paths sanitized) |
The mmfinereason set is an additional experimental dataset, not part of the default training split. Use the original train.parquet when reproducing the VisionR1 + DAPO run; do not automatically concatenate the two training files. The original train and test files also have separate configurations because extra_info.source_index exists in train but not test. Images are embedded as bytes in the parquet files.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="leaderonehit/DRT-RL-8B-training-data",
repo_type="dataset",
local_dir="training_data/VisionR1_DAPO",
)
Dataset configurations can be loaded separately:
from datasets import load_dataset
train = load_dataset("leaderonehit/DRT-RL-8B-training-data", "visionr1_dapo_train", split="train")
test = load_dataset("leaderonehit/DRT-RL-8B-training-data", "visionr1_dapo_test", split="test")
extra = load_dataset("leaderonehit/DRT-RL-8B-training-data", "mmfinereason")
Provenance
- Code: https://github.com/HIT-leaderone/DRT
- RL checkpoint: https://huggingface.co/leaderonehit/DRT-RL-8B
- SFT data: https://huggingface.co/datasets/leaderonehit/DRT-SFT-8B-training-data
data_manifest.json records the original file sizes, row counts, schemas and SHA-256 checksums. Parquet contents and scientific statistics are preserved; machine-specific metadata is sanitized. This release does not assign a new license to the upstream datasets; consult their respective terms.
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