Datasets:
Initial release
Browse files- .gitattributes +1 -0
- CT-RATE-AB-train.json +3 -0
- CT-RATE-AB-valid.json +0 -0
- README.md +83 -0
.gitattributes
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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CT-RATE-AB-train.json filter=lfs diff=lfs merge=lfs -text
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CT-RATE-AB-train.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:77b9e1f688f080e3e68de597b017d00dc96cdbb23e52c310fee545aab9ebb636
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size 47410994
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CT-RATE-AB-valid.json
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The diff for this file is too large to render.
See raw diff
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README.md
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---
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license: cc-by-nc-sa-4.0
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---
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---
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license: cc-by-nc-sa-4.0
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task_categories:
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- visual-question-answering
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- video-text-to-text
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language:
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- en
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tags:
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- medical
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- chest-ct
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- radiology
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- ct-rate
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size_categories:
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- 10K<n<100K
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pretty_name: CT-RATE-AB
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---
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# CT-RATE-AB
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Vision-language annotations for chest CT abnormality reporting, derived from
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[CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE) and
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formatted in the LLaVA conversation schema.
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> ⚠️ Research use only. Not a medical device. Do not use for clinical decisions.
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## Files
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| File | # Samples |
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|------|-----------|
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| `CT-RATE-AB-train.json` | 46,709 |
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| `CT-RATE-AB-valid.json` | 3,039 |
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Train/valid splits inherit the official CT-RATE partition (no patient overlap).
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## Data format
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LLaVA video-conversation schema. Each entry:
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```json
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{
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"id": "train_1_a_1",
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"videos": ["train_1_a_1.mp4"],
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"conversations": [
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{"from": "human", "value": "<video>\nGenerate a report for this patient."},
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{"from": "gpt", "value": "Lung: ...\n\nTrachea and Bronchie: ...\n\nMediastinum: ...\n\nBone: ...\n\nAbdomen: ...\n\nOthers: ..."}
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]
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}
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```
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The assistant response is a structured report organized by anatomy:
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*Lung*, *Trachea and Bronchie*, *Mediastinum*, *Bone*, *Abdomen*, *Others*.
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## Obtaining the CT volumes
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This repository contains **only annotations**. To obtain the corresponding CT
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data, request access to CT-RATE at
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<https://huggingface.co/datasets/ibrahimhamamci/CT-RATE>. The `id` field in
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each entry maps directly to the CT-RATE volume identifier.
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## License
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Released under **CC BY-NC-SA 4.0**, consistent with the upstream CT-RATE
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license.
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## Citation
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**CT-RATE-AB (MICCAI 2026):**
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```bibtex
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@inproceedings{TODO_ctrateab2026,
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title = {TODO},
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author = {TODO},
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booktitle = {MICCAI},
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year = {2026}
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}
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```
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**CT-RATE (upstream):**
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```bibtex
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@article{hamamci2026generalist,
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title = {Generalist foundation models from a multimodal dataset for 3D
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computed tomography},
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author = {Hamamci, Ibrahim Ethem and others},
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journal = {Nature Biomedical Engineering},
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year = {2026}
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}
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```
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