| --- |
| language: |
| - en |
| task_categories: |
| - image-text-to-text |
| license: other |
| license_name: idea-license-1.0 |
| license_link: https://huggingface.co/datasets/IDEA-Research/HumanRef-CoT-45k/blob/9e1afd27358d774f626a78992c7b716fa403da54/LICENSE |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - visual-grounding |
| - referring-expression-comprehension |
| - bounding-boxes |
| - tsv |
| --- |
| |
| # Grounding training data — raw TSV bundle |
|
|
| This repository currently contains **HumanRef training data only**, repackaged |
| into the indexed TSV storage layout used by |
| [Rex-Omni-Finetune-ToyData](https://huggingface.co/datasets/Mountchicken/Rex-Omni-Finetune-ToyData). |
| It is a derived storage export, not an official HumanRef release. |
|
|
| | Dataset | Split | Query rows | Positive | Rejection | |
| | --- | --- | ---: | ---: | ---: | |
| | HumanRef | train | 45,408 | 37,057 | 8,351 | |
|
|
| There are 86,937 selected target boxes. Images are stored as 45,408 source records; |
| repeated images are retained. A prior decoded-image audit found 14,723 unique |
| RGB images. This release contains no validation or test split. |
|
|
| ## Download and load |
|
|
| Download repository files with `huggingface_hub.snapshot_download` or the Hub CLI, |
| then use the included plain Python reader. This is an indexed TSV bundle, not a |
| Parquet dataset or a Hugging Face `datasets.load_dataset` loading script. |
|
|
| ```bash |
| pip install huggingface_hub 'Pillow>=10,<13' |
| ``` |
|
|
| ```python |
| import sys |
| from huggingface_hub import snapshot_download |
| |
| root = snapshot_download( |
| repo_id="huuthientran/HumanRef", |
| repo_type="dataset", |
| allow_patterns=["humanref/*", "loader.py", "requirements.txt", "benchmarks.json"], |
| ) |
| sys.path.insert(0, root) |
| from loader import RawTSVDataset |
| |
| data = RawTSVDataset(f"{root}/humanref") |
| raw = data[0] # original image_bytes + annotation dictionary |
| sample = data.decode(raw) # RGB image; no EXIF auto-rotation |
| boxes = sample["annotation"]["boxes"] |
| positive = RawTSVDataset(f"{root}/humanref", positive_only=True) |
| ``` |
|
|
| The loader requires only Pillow. Pin `revision` in `snapshot_download` to a |
| repository commit for reproducible experiments. Data files total about 11 GiB. |
|
|
| ## Files and format |
|
|
| ```text |
| README.md |
| loader.py |
| requirements.txt |
| benchmarks.json |
| humanref/ |
| train.images.tsv |
| train.images.tsv.lineidx |
| train.annotations.tsv |
| train.annotations.tsv.lineidx |
| train.positive.annotations.tsv.lineidx |
| images.jsonl |
| manifest.json |
| validation.json |
| SOURCE_LICENSE |
| ``` |
|
|
| Image rows are `image_byte_offset<TAB>base64_original_image_bytes`. |
| Annotation rows are `image_byte_offset<TAB>annotation_JSON`. |
| Each `.lineidx` stores byte offsets, not row numbers. The positive index selects |
| positive annotation rows without rewriting the base data. `images.jsonl` records |
| image checksums and dimensions; `manifest.json` records file checksums and source |
| provenance. `validation.json` reports validation performed before publication. |
|
|
| For positive queries, `boxes` contains selected targets: |
|
|
| ```json |
| {"bbox": [10, 20, 100, 200], "phrase": "the person on the left"} |
| ``` |
|
|
| For rejection queries, it contains a null box: |
|
|
| ```json |
| {"bbox": null, "phrase": "an unmatched description"} |
| ``` |
|
|
| Boxes are **absolute pixel xyxy**. Source `region_map` indices select candidates |
| from original pixel-xywh `gt_boxes`; only selected candidates become targets. |
| Every query retains the complete original `source_annotation`, including candidate |
| boxes, region mapping, and source reasoning text, together with source subset and |
| offset provenance. Source reasoning is provenance, not an inference prompt or a |
| direct-box answer. Separate copies of the original annotation TSVs are omitted |
| because their annotations are already embedded in every exported query. |
|
|
| Image bytes and original annotations are preserved. No resizing, re-encoding, |
| EXIF transpose, clipping, normalization, quantization, filtering, or deduplication |
| is applied. Qwen pixel/normalized formatting and Rex coordinate-token formatting |
| belong in the experiment's runtime adapter. For a compatible grounding reader, |
| configure the box format as `xyxy`. |
|
|
| ## Scope and quality |
|
|
| All image-byte checksums, file checksums, byte offsets, selected-target mappings, |
| and positive/rejection counts passed validation. Loader samples were decoded; |
| full exports were checked by image checksums and headers, not a second exhaustive |
| raster decode. |
|
|
| This is raw training storage. Known duplicate queries, conflicting targets, and |
| boxes extending beyond image boundaries remain unchanged. Select a training |
| policy explicitly; do not silently clip or treat candidate boxes as targets. |
| The manifest's `ready_for_training: false` indicates that experiment-specific |
| selection and model formatting are still required, not a failed storage check. |
|
|
| ## Source and license |
|
|
| Source: [IDEA-Research/HumanRef-CoT-45k](https://huggingface.co/datasets/IDEA-Research/HumanRef-CoT-45k), |
| revision `9e1afd27358d774f626a78992c7b716fa403da54`. |
| Both `humanref_cot` and `humanref_cot_rejection` are included in source order. |
| The four source TSV checksums matched the audited source revision. |
|
|
| The upstream [IDEA License 1.0](humanref/SOURCE_LICENSE) is included unchanged; |
| it grants use for non-commercial research and requires a separate license for |
| commercial use. Original attribution: "T is licensed under the IDEA License 1.0, |
| Copyright (c) IDEA. All Rights Reserved." |
|
|
