| --- |
| dataset_info: |
| features: |
| - name: text_id |
| dtype: string |
| - name: text |
| dtype: string |
| - name: sentences |
| dtype: string |
| - name: error_flag |
| dtype: bool |
| - name: error_type |
| dtype: string |
| - name: error_sentence_id |
| dtype: int8 |
| - name: error_sentence |
| dtype: string |
| - name: corrected_sentence |
| dtype: string |
| - name: corrected_text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 4733960 |
| num_examples: 2189 |
| - name: test |
| num_bytes: 1300714 |
| num_examples: 597 |
| - name: validation |
| num_bytes: 1234271 |
| num_examples: 574 |
| download_size: 2940360 |
| dataset_size: 7268945 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| - split: validation |
| path: data/validation-* |
| license: cc-by-4.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| - text-classification |
| tags: |
| - medical |
| - clinical |
| --- |
| |
| # MEDEC-MS |
|
|
| HuggingFace upload of the MEDEC-MS dataset with fixes. If used, please cite the original authors using the citation below. |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| The dataset contains three splits: **train**, **validation**, **test**. |
|
|
| ### Dataset Sources |
|
|
| - **Repository:** https://github.com/abachaa/MEDEC |
| - **Paper:** https://arxiv.org/pdf/2412.19260 |
| |
| ### Corrections to the original dataset: |
| - **Added pipes to delimit sentence IDs and sentences in the `sentences` column, as specified in [Prompt #1](https://arxiv.org/pdf/2412.19260#page=5).** |
| |
| - **Removed non-standard characters.** |
|
|
| For example, the original `ms-train-19` `text` column had |
| |
| ```txt |
| ...“something crawling on my hand.†The... |
| ``` |
| |
| which is corrected in this dataset to be |
| |
|
|
| ``` |
| ..."something crawling on my hand." The... |
| ``` |
| |
| - **Fixed many broken sentences in the original dataset.** |
| |
| For example, the original `ms-test-15` row had a malformed `sentences` column: |
| |
| ```txt |
| 5 Her temperature is 37.5 C |
| 6 (99.5 F ); pulse is 75/min; respiratory rate is 13/min, and blood pressure is |
| 7 115/70 mm |
| 8 Hg. |
| 9 A maculopapular rash is observed over the trunk and limbs. |
| ``` |
| |
| which is corrected in this dataset to be |
| |
| ```txt |
| 5 | Her temperature is 37.5C (99.5 F); pulse is 75/min; respiratory rate is 13/min, and blood pressure is 115/70 mm Hg. |
| 6 | A maculopapular rash is observed over the trunk and limbs. |
| ``` |
| |
| - **Ensured that the `error_sentence` and `corrected_sentence` column contain the full sentences.** |
|
|
| |
| For example, `ms-test-551` originally had |
| |
| ```txt |
| error_sentence: "Prazosin is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118" |
| corrected_sentence: "Phenoxybenzamine is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118" |
| ``` |
| |
| with `sentences` |
| |
| ```txt |
| 0 A 45-year-old-man presents to the physician with complaints of intermittent episodes of severe headaches and palpitations. |
| 1 During these episodes, he notices that he sweats profusely and becomes pale in complexion. |
| 2 He describes the episodes as coming and going within the past 2 months. |
| 3 Prazosin is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118 |
| 4 mmHg, pulse is |
| 5 126/min, respirations are 18/min, and oxygen saturation is 90% on room air. |
| ``` |
| |
| which is corrected in this dataset to include the full sentences |
| |
| ```txt |
| error_sentence: "Prazosin is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118 mmHg, pulse is 126/min, respirations are 18/min, and oxygen saturation is 90% on room air." |
| corrected_sentence: "Phenoxybenzamine is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118 mmHg, pulse is 126/min, respirations are 18/min, and oxygen saturation is 90% on room air." |
| ``` |
| |
| and |
| |
| ```txt |
| 0 | A 45-year-old-man presents to the physician with complaints of intermittent episodes of severe headaches and palpitations. |
| 1 | During these episodes, he notices that he sweats profusely and becomes pale in complexion. |
| 2 | He describes the episodes as coming and going within the past 2 months. |
| 3 | Prazosin is prescribed as his temperature is 99.3 F (37.4 C), blood pressure is 165/118 mmHg, pulse is 126/min, respirations are 18/min, and oxygen saturation is 90% on room air. |
| ``` |
| |
| As you can see, the original `sentences` column had incorrect sentence splits, which the `error_sentence` and `corrected_sentence` at least conformed to. But if you want to specifically test for sentence extraction, especially in the case of raw, unmarked text, we feel it's important to respect sentence boundaries. |
| |
|
|
| ### Direct Use |
|
|
| ```python |
| import json |
| from datasets import load_dataset |
| |
| if __name__ == "__main__": |
| # load all data |
| dataset = load_dataset("mkieffer/MEDEC") |
| |
| # load only train split |
| dataset_train = load_dataset("mkieffer/MEDEC", split="train") |
| |
| # load only test split |
| dataset_test = load_dataset("mkieffer/MEDEC", split="test") |
| |
| # load only validation split |
| dataset_val = load_dataset("mkieffer/MEDEC", split="validation") |
| |
| print("\nfull dataset:\n", dataset) |
| print("\ntrain split:\n", dataset_train) |
| print("\test split:\n", dataset_test) |
| print("\validation split:\n", dataset_val) |
| |
| print("\ntrain sample:\n", json.dumps(dataset_train[0], indent=2)) |
| print("\test sample:\n", json.dumps(dataset_test[0], indent=2)) |
| print("\validation sample:\n", json.dumps(dataset_val[0], indent=2)) |
| ``` |
|
|
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{medec, |
| author = {Asma {Ben Abacha} and Wen{-}wai Yim and Yujuan Fu and Zhaoyi Sun and Meliha Yetisgen and Fei Xia and Thomas Lin}, |
| title = {MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes}, |
| booktitle = {Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025}, |
| pages = {22539--22550}, |
| publisher = {Association for Computational Linguistics}, |
| year = {2025}, |
| url = {https://aclanthology.org/2025.findings-acl.1159/} |
| } |
| ``` |