--- license: cc-by-nc-sa-4.0 language: - en task_categories: - text-classification tags: - radiology - chest-ct - ct-rate - multi-label - report-labeling size_categories: - 10K3 cm) dtype: int8 - name: Cavitary nodule / mass dtype: int8 - name: Emphysema dtype: int8 - name: Bullae / giant bulla dtype: int8 - name: Pulmonary cysts / cystic lung disease dtype: int8 - name: Reticulation / intralobular thickening dtype: int8 - name: Interlobular septal thickening dtype: int8 - name: Traction bronchiectasis / bronchiolectasis dtype: int8 - name: Honeycombing dtype: int8 - name: Parenchymal scarring / fibrotic band dtype: int8 - name: Tracheal stenosis / malacia dtype: int8 - name: Tracheal / bronchial wall thickening dtype: int8 - name: Bronchiectasis dtype: int8 - name: Mucoid impaction / plugging dtype: int8 - name: Tracheal diverticulum dtype: int8 - name: Endotracheal tube dtype: int8 - name: Tracheostomy tube dtype: int8 - name: Lobar / segmental atelectasis dtype: int8 - name: Subsegmental / linear atelectasis dtype: int8 - name: Post-lobectomy / segmentectomy dtype: int8 - name: Post-pneumonectomy dtype: int8 - name: Lung transplant dtype: int8 - name: Lungs & Airways_others dtype: int8 - name: Pleural effusion dtype: int8 - name: Loculated pleural effusion dtype: int8 - name: Hemothorax dtype: int8 - name: Chest tube / pleural drain dtype: int8 - name: Pneumothorax dtype: int8 - name: Tension pneumothorax dtype: int8 - name: Pleural thickening dtype: int8 - name: Pleural plaques dtype: int8 - name: Pleural nodule / mass dtype: int8 - name: Pleura_others dtype: int8 - name: Mediastinal lymphadenopathy dtype: int8 - name: Hilar lymphadenopathy dtype: int8 - name: Calcified mediastinal / hilar lymph nodes dtype: int8 - name: Anterior mediastinal mass dtype: int8 - name: Middle / posterior mediastinal mass or cyst dtype: int8 - name: Thymic remnant / hyperplasia dtype: int8 - name: Esophageal wall thickening / mass dtype: int8 - name: Hiatal hernia dtype: int8 - name: Esophageal dilation dtype: int8 - name: Nasogastric / orogastric tube dtype: int8 - name: Pneumomediastinum dtype: int8 - name: Mediastinal hematoma / fluid collection dtype: int8 - name: Mediastinum & Hila_others dtype: int8 - name: Cardiomegaly dtype: int8 - name: Pericardial effusion dtype: int8 - name: Pericardial thickening / calcification dtype: int8 - name: Coronary artery calcification dtype: int8 - name: Coronary stent or bypass graft dtype: int8 - name: Thoracic aortic calcification dtype: int8 - name: Thoracic aortic ectasia / dilation (non-aneurysmal) dtype: int8 - name: Thoracic aortic aneurysm dtype: int8 - name: Aortic dissection / intramural hematoma dtype: int8 - name: Main pulmonary artery enlargement dtype: int8 - name: Pulmonary embolism dtype: int8 - name: Aortic valve calcification dtype: int8 - name: Mitral annular calcification dtype: int8 - name: Pacemaker / ICD leads dtype: int8 - name: Central venous catheter / PICC dtype: int8 - name: LVAD / other cardiac assist device dtype: int8 - name: Cardiovascular_others dtype: int8 - name: Chest wall soft tissue edema / hematoma dtype: int8 - name: Subcutaneous emphysema dtype: int8 - name: Chest wall mass dtype: int8 - name: Post-thoracotomy change dtype: int8 - name: Chest wall tumor invasion dtype: int8 - name: Chest Wall_others dtype: int8 - name: Acute rib fracture dtype: int8 - name: Non-acute / healed rib fracture dtype: int8 - name: Sternal fracture dtype: int8 - name: Vertebral compression fracture dtype: int8 - name: Degenerative spine changes dtype: int8 - name: Osteolytic bone lesion dtype: int8 - name: Osteosclerotic bone lesion dtype: int8 - name: Mixed osteolytic-osteosclerotic lesion dtype: int8 - name: Osteopenia dtype: int8 - name: Scoliosis / kyphosis dtype: int8 - name: Vertebral hemangioma dtype: int8 - name: Postoperative spine change / hardware dtype: int8 - name: Bones / Spine_others dtype: int8 - name: Hepatic steatosis dtype: int8 - name: Focal liver lesion (nodule / mass) dtype: int8 - name: Hepatomegaly dtype: int8 - name: Liver contour irregularity / cirrhosis features dtype: int8 - name: Hepatic calcification dtype: int8 - name: Cholelithiasis / gallstones dtype: int8 - name: Post-cholecystectomy (gallbladder operated / absent) dtype: int8 - name: Gallbladder wall thickening dtype: int8 - name: Hydropic gallbladder / distension dtype: int8 - name: Biliary sludge dtype: int8 - name: Biliary stent / catheter / drain dtype: int8 - name: Splenomegaly dtype: int8 - name: Accessory spleen / splenule / polysplenia dtype: int8 - name: Focal splenic lesion (nodule / mass) dtype: int8 - name: Pancreatic mass / focal lesion dtype: int8 - name: Pancreatic lipomatosis dtype: int8 - name: Adrenal nodule / mass dtype: int8 - name: Adrenal thickening / hyperplasia dtype: int8 - name: Adrenal calcification dtype: int8 - name: Simple renal cyst dtype: int8 - name: Complex renal cyst / solid renal mass dtype: int8 - name: Hydronephrosis dtype: int8 - name: Renal calculi / nephrolithiasis dtype: int8 - name: Renal atrophy / decreased renal size dtype: int8 - name: Nephrectomy (kidney absent / operated) dtype: int8 - name: Ascites dtype: int8 - name: Pneumoperitoneum dtype: int8 - name: Bowel wall thickening / inflammation dtype: int8 - name: Diverticulosis dtype: int8 - name: Omental caking / peritoneal carcinomatosis dtype: int8 - name: Abdominal lymphadenopathy dtype: int8 - name: Abdominal aortic aneurysm (partially imaged) dtype: int8 - name: Abdominal aortic calcification / atherosclerosis (partially imaged) dtype: int8 - name: IVC filter dtype: int8 - name: Upper Abdomen_others dtype: int8 - name: Thyroid enlargement (goiter) dtype: int8 - name: Thyroid nodule dtype: int8 - name: Cervical / supraclavicular lymphadenopathy dtype: int8 - name: Neck soft tissue mass dtype: int8 - name: Lower Neck_others dtype: int8 - name: Breast mass / focal asymmetry dtype: int8 - name: Post-lumpectomy / post-mastectomy change dtype: int8 - name: Breast implant (intact or present) dtype: int8 - name: Axillary lymphadenopathy dtype: int8 - name: Motion artifact / suboptimal study dtype: int8 - name: Study limitation / limited evaluation (non-motion) dtype: int8 - name: No significant intrathoracic abnormality dtype: int8 - name: Others_others dtype: int8 splits: - name: train num_bytes: 58124167 num_examples: 20648 - name: valid num_bytes: 4525829 num_examples: 1483 - name: test num_bytes: 4196521 num_examples: 1483 download_size: 18881153 dataset_size: 66846517 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* --- # CT-RATE Findings — Chest Imaging Leaf Labels Chest-CT **findings** from the [CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE) dataset. Each row maps an **original findings report → a section-structured refined version**, plus a **137-label** ternary multi-label annotation over a chest-imaging taxonomy. - **Rows:** 23,614 unique CT-RATE findings reports (one row per report) - **Splits (report-text-level de-duplicated):** train 20,648 / valid 1,483 / test 1,483 - **Labels:** 137 leaf labels (106 clinical + 31 other). Full taxonomy, definitions and per-split counts in **[`LABEL_HIERARCHY.md`](./LABEL_HIERARCHY.md)**. ## Columns | Column | Type | Description | |---|---|---| | `original_report` | string | Original CT-RATE findings text (input) | | `refined_report` | string | Section-structured / cleaned findings (target; empty for 281 rows) | | `split` | string | `train` / `valid` / `test` | | *137 label columns* | int8 | Per-label status — see encoding below | ### Label encoding (ternary) | Value | Meaning | |---:|---| | `1` | positive | | `0` | negative | | `-1` | uncertain | | `null` | not assessed for this report | ## Notes - Splits are **de-duplicated across each other at the report-text level**: no `original_report` or `refined_report` text appears in more than one split. - **Breast & Axilla** were originally intended as their own top-level section, but because such findings are relatively infrequent in CT-RATE they were folded into the **Others** section. The individual breast/axilla leaf labels are still present (under `Others`). - 281 rows have an empty `refined_report` (labels are still provided). - 601 reports (2.5%) have no positive on any label. - `IVC filter` is present for taxonomy completeness but is **entirely unlabeled** (all `null` — no positive, negative, or uncertain in any row). - Label names exactly match the hierarchy in **[`LABEL_HIERARCHY.md`](./LABEL_HIERARCHY.md)**. ## Radiologist validation (test set) A radiologist manually reviewed **966 of the 1,483 test reports** (65.1%), comparing the assigned labels against the report: | Verdict | Reports | Share | |---|---:|---:| | Fully accepted | 857 | 88.7% | | Imperfect / uncertain but acceptable | 60 | 6.2% | | Failed | 49 | 5.1% | | **Reviewed** | **966** | **100%** | **Acceptable (accepted + borderline): 917 / 966 = 94.9%.** This is a spot-check of the weak-label quality on the held-out test split, not a re-annotation — the published labels are the original pipeline output, unchanged. ## Provenance & caveats - **Weak labels, not radiologist ground truth.** Labels were generated by an LLM labeling pipeline from the report text (not from images), then validated against the fixed taxonomy. - `refined_report` is an LLM-cleaned, section-structured rewrite of `original_report`. ## License & attribution This dataset is a **derivative of [CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE)** and is released under **CC-BY-NC-SA-4.0**, the same license as CT-RATE. The report text (`original_report`) originates from CT-RATE; the `refined_report` rewrite and the 137 leaf labels are added by this work. **If you use this dataset you must cite the original CT-RATE paper** (a requirement of the CC-BY-NC-SA attribution terms), in addition to this dataset: ```bibtex @misc{hamamci2024ctrate, title = {A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities}, author = {Hamamci, Ibrahim Ethem and others}, year = {2024}, eprint = {2403.17834}, archivePrefix = {arXiv}, primaryClass = {cs.CV} } ``` Please confirm the canonical CT-RATE citation on the [official CT-RATE page](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE). ## Usage ```python from datasets import load_dataset ds = load_dataset("chest2vec/chest2vec_labels") ds["test"][0]["original_report"] [k for k, v in ds["test"][0].items() if v == 1] # positive labels for the first test report ```