File size: 12,128 Bytes
1976d8c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
---
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:
- 10K<n<100K
dataset_info:
  features:
  - name: original_report
    dtype: string
  - name: refined_report
    dtype: string
  - name: split
    dtype: string
  - name: Consolidation
    dtype: int8
  - name: Ground-glass opacity (GGO)
    dtype: int8
  - name: Crazy-paving pattern
    dtype: int8
  - name: Mosaic attenuation / air-trapping
    dtype: int8
  - name: Tree-in-bud
    dtype: int8
  - name: Centrilobular nodules / bronchiolitis pattern
    dtype: int8
  - name: Pulmonary nodule (solid / PSN / GGN)
    dtype: int8
  - name: Pulmonary mass (>3 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
```