| | --- |
| | configs: |
| | - config_name: virtassist |
| | default: true |
| | data_files: |
| | - split: train |
| | path: virtassist/train.parquet |
| | - split: valid |
| | path: virtassist/valid.parquet |
| | - split: test1 |
| | path: virtassist/test1.parquet |
| | - split: test2 |
| | path: virtassist/test2.parquet |
| | - split: test3 |
| | path: virtassist/test3.parquet |
| | - config_name: aci |
| | data_files: |
| | - split: train |
| | path: aci/train.parquet |
| | - split: valid |
| | path: aci/valid.parquet |
| | - split: test1 |
| | path: aci/test1.parquet |
| | - split: test2 |
| | path: aci/test2.parquet |
| | - split: test3 |
| | path: aci/test3.parquet |
| | - config_name: virtscribe |
| | data_files: |
| | - split: train |
| | path: virtscribe/train.parquet |
| | - split: valid |
| | path: virtscribe/valid.parquet |
| | - split: test1 |
| | path: virtscribe/test1.parquet |
| | - split: test2 |
| | path: virtscribe/test2.parquet |
| | - split: test3 |
| | path: virtscribe/test3.parquet |
| | --- |
| | |
| | # ACI-Bench |
| |
|
| |
|
| | HuggingFace upload of ACI-Bench, which evaluates a model's ability to convert clinical dialogue into structured clinical notes. This dataset includes the [benchmark itself](https://huggingface.co/datasets/mkieffer/ACI-Bench), as well as data from ablation studies testing different transcription methods. If used, please cite the original authors using the citation below. |
| |
|
| |
|
| |
|
| | ## Dataset Details |
| |
|
| |
|
| | | subset | transcript_version | train | valid | test1 | test2 | test3 | Total | |
| | | ---------- | ------------------ | ----- | ----- | ----- | ----- | ----- | ----- | |
| | | aci | asr | 35 | 11 | 22 | 22 | 22 | 112 | |
| | | aci | asrcorr | 35 | 11 | 22 | 22 | 22 | 112 | |
| | | aci | humantrans | 0 | 0 | 0 | 0 | 0 | 0 | |
| | | virtassist | asr | 0 | 0 | 0 | 0 | 0 | 0 | |
| | | virtassist | asrcorr | 0 | 0 | 0 | 0 | 0 | 0 | |
| | | virtassist | humantrans | 20 | 5 | 10 | 10 | 10 | 55 | |
| | | virtscribe | asr | 12 | 4 | 8 | 8 | 8 | 40 | |
| | | virtscribe | asrcorr | 0 | 0 | 0 | 0 | 0 | 0 | |
| | | virtscribe | humantrans | 12 | 4 | 8 | 8 | 8 | 40 | |
| | | ALL | ALL | 114 | 35 | 70 | 70 | 70 | 359 | |
| | |
| | ### Dataset Description |
| | |
| | The dataset consists of different subsets capturing different clinical workflows |
| | |
| | 1) ambient clinical intelligence (`aci`): doctor-patient dialogue |
| | 2) virtual assistant (`virtassist`): doctor-patient dialogue with queues to trigger Dragon Copilot, e.g., "hey, dragon. show me the chest x-ray" |
| | 3) virtual scribe (`virtscribe`): doctor-patient dialogue with a short dictation from the doctor about the patient at the very beginning |
| | |
| | There are three different transcription versions: |
| | 1) `asr`: machine-transcribed |
| | 2) `asrcorr`: human corrections to `asr`, for example: "nonsmile" in D2N081 --> "non-small" in ACI006 |
| | 3) `humantrans`: transcribed by a human |
| | |
| | The subsets have the following transcription versions |
| | 1) `aci`: `asr` and `asrcorr` |
| | 2) `virtassist`: `humantrans` only |
| | 3) `virtscribe`: `asr` and `humantrans` |
| | |
| | |
| | ### Dataset Sources |
| | |
| | - **GitHub:** https://github.com/wyim/aci-bench |
| | - **Paper:** https://www.nature.com/articles/s41597-023-02487-3 |
| | |
| | |
| | ### Direct Use |
| | |
| | ```python |
| | from datasets import load_dataset |
| |
|
| | SUBSETS = ["virtassist", "virtscribe", "aci"] |
| | SPLITS = ["train", "valid", "test1", "test2", "test3"] |
| |
|
| | if __name__ == "__main__": |
| | # --------------------------------------------------------------------- |
| | # 1) Load ONE subset (config) with ALL splits |
| | # --------------------------------------------------------------------- |
| | virtassist_all = load_dataset("mkieffer/ACI-Bench-MedARC", name="virtassist") |
| | |
| | # --------------------------------------------------------------------- |
| | # 2) Load ONE subset (config) with ONE split |
| | # --------------------------------------------------------------------- |
| | virtassist_train = load_dataset("mkieffer/ACI-Bench-MedARC", name="virtassist", split="train") |
| | |
| | # --------------------------------------------------------------------- |
| | # 3) Load TWO subsets (configs), all splits for each |
| | # --------------------------------------------------------------------- |
| | two_subsets = { |
| | "virtassist": load_dataset("mkieffer/ACI-Bench-MedARC", name="virtassist"), |
| | "aci": load_dataset("mkieffer/ACI-Bench-MedARC", name="aci"), |
| | } |
| | |
| | # --------------------------------------------------------------------- |
| | # 4) Load ALL subsets (virtassist, virtscribe, aci), all splits each |
| | # --------------------------------------------------------------------- |
| | all_subsets = {subset: load_dataset("mkieffer/ACI-Bench-MedARC", name=subset) for subset in SUBSETS} |
| | aci_all = all_subsets["aci"] # DatasetDict |
| | aci_train = aci_all["train"] # Dataset |
| | aci_valid = aci_all["valid"] |
| | |
| | # --------------------------------------------------------------------- |
| | # 5) Load multiple splits at once |
| | # --------------------------------------------------------------------- |
| | # load each split, concatenated |
| | aci_all_test_concat = load_dataset("mkieffer/ACI-Bench-MedARC", name="aci", split=["train", "test1+test2+test3"]) |
| | |
| | # load each split separately |
| | aci_all_test_separate = load_dataset("mkieffer/ACI-Bench-MedARC", name="aci", split=["train", "test1", "test2", "test3"]) |
| | ``` |
| | |
| |
|
| | ## Citation |
| |
|
| | ```bibtex |
| | @article{aci-bench, |
| | author = {Wen{-}wai Yim and |
| | Yujuan Fu and |
| | Asma {Ben Abacha} and |
| | Neal Snider and Thomas Lin and Meliha Yetisgen}, |
| | title = {ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation}, |
| | journal = {Nature Scientific Data}, |
| | year = {2023} |
| | } |
| | ``` |
