--- license: other license_name: raidium-metriceval-dua-1.0 license_link: LICENSE gated: true language: - en task_categories: - text-ranking - summarization annotations_creators: - expert-generated size_categories: - n<1K tags: - radiology - medical - clinical - ct - computed-tomography - report-generation - evaluation - nlg-evaluation - meta-evaluation - llm-as-a-judge - human-feedback - preference-ranking - inter-annotator-agreement - benchmark - expert-annotation pretty_name: MetricEval-BodyCT configs: - config_name: studies data_files: - split: test path: data/studies.parquet default: true - config_name: annotations data_files: - split: test path: data/annotations.parquet extra_gated_heading: Access requires agreeing to the Data Use Agreement extra_gated_description: Requests are reviewed manually; please allow a few business days. extra_gated_prompt: | This dataset has two files under different terms — see the LICENSE file for the operative text. - `annotations.parquet` (the radiologist labels) is licensed **CC-BY-4.0**. - `studies.parquet` contains de-identified radiology **report text** derived from Segmed's de-identified data pilot. It is **restricted**. By requesting access you agree that you will: 1. use it solely for non-commercial research on radiology report generation and its evaluation; 2. make no attempt to re-identify any individual, provider, institution, or site; 3. not redistribute the report text, or any derivative containing it, in whole or in part; 4. not use it to train or fine-tune models for clinical deployment without a separate agreement; 5. cite this dataset in any resulting publication. Access is personal and non-transferable, and may be revoked at any time. The data is provided "as is", with no warranty. It is not a medical device and must not be used to inform patient care. extra_gated_fields: Full name: text Institution / affiliation: text Country: country Intended research use: text I will not attempt re-identification: checkbox I will not redistribute the report text: checkbox I agree to the Data Use Agreement: checkbox extra_gated_button_content: Request access --- # MetricEval-BodyCT This repository is a **body CT benchmark for evaluating radiology report-generation metrics** against radiologists' judgment. It covers 100 CT studies (50 chest and 50 abdomen/pelvis), with three candidate reports each. Every candidate was independently annotated by multiple board-certified radiologists. The reference reports are de-identified radiology reports from multiple US centers, provided by Segmed and redistributed under the Data Use Agreement in `LICENSE`. The candidate reports are synthetic perturbations of those references: deliberately injected errors, false clinical statements, hallucinations, etc. ## 1. Evaluation protocol Write your metric's scores to a CSV (300 rows, one per candidate), where **higher must mean better**. Then run: ```bash python3 eval.py --scores your_metric_scores.csv --out results_your_metric.json --label YourMetric ``` An example input file, `example_scores.csv`, is included in this repository: ```csv study_id,candidate_label,score abdomen_0108ee4fedcc,a,0.617761 abdomen_0108ee4fedcc,b,0.717391 abdomen_0108ee4fedcc,c,0.745223 ... ``` An example of output ``` endpoint tau_b 95% CI blocks -------------------------- -------- ------------------ ------- n_errors -0.361 [-0.432, -0.291] 97 n_significant -0.213 [-0.288, -0.142] 72 rank_accuracy -0.310 [-0.371, -0.252] 99 rank_answers_indication -0.209 [-0.275, -0.145] 94 cat_hallucinated -0.212 [-0.281, -0.142] 97 cat_missed -0.172 [-0.308, -0.038] 33 cat_other -0.075 [-0.387, +0.245] 6 cat_wrong_certainty -0.051 [-0.148, +0.050] 40 cat_wrong_characterization -0.270 [-0.453, -0.095] 13 cat_wrong_comparison -0.312 [-0.540, +0.069] 8 cat_wrong_location -0.369 [-0.494, -0.231] 20 cat_wrong_measurement -0.235 [-0.401, -0.054] 18 cat_wrong_severity -0.317 [-0.435, -0.197] 29 ``` Results are also persisted as a JSON file. Each endpoint is a different entry point into the radiologists' judgment: | endpoint | what it is | inter-rater ceiling (95% CI) | |---|---|---| | `n_errors` | **primary** — their total error count | **-0.694** [-0.751, -0.634] | | `n_significant` | their count of clinically significant errors | **-0.471** [-0.564, -0.383] | | `rank_accuracy` | their ranking of the whole report's fidelity to the reference | **-0.645** [-0.746, -0.538] | | `rank_answers_indication` | their ranking of how well the *impression* answers the clinical indication | **-0.701** [-0.774, -0.618] | | `cat_hallucinated` | findings asserted by the candidate that the reference does not support | **-0.821** [-0.867, -0.773] | | `cat_missed` | findings present in the reference and absent from the candidate | **-0.690** [-0.820, -0.532] | | `cat_wrong_location` | a real finding placed at the wrong anatomic site | **-0.890** [-0.982, -0.786] | | `cat_wrong_severity` | a real finding graded more or less severe than the reference | **-0.879** [-0.975, -0.765] | | `cat_wrong_characterization` | a real finding described with the wrong morphology | **-0.922** [-1.000, -0.769] | | `cat_wrong_measurement` | a size, count or distance that disagrees with the reference | **-0.874** [-0.978, -0.700] | | `cat_wrong_certainty` | hedging that over- or under-states how definite the reference is | **-0.658** [-0.792, -0.517] | | `cat_wrong_comparison` | a change from a prior study invented, dropped or reversed | **-1.000** [-1.000, -1.000] | | `cat_other` | an error the rater logged outside the categories above | *too few blocks* | ## 2. Error records Each rater, for each candidate, logged every error they found and then ranked the three candidates. `annotations.errors` is a nested column holding the individual errors; an empty list means the rater reviewed that candidate and confirmed it error-free. | field | description | |---|---| | `error_id` | stable id, so a specific error can be cited | | `category` | one of the 9 categories — see *Dataset statistics* for the taxonomy | | `significance` | `significant` \| `insignificant` | | `anchor_line` | 1-based line of `candidate_