| --- |
| license: cc-by-4.0 |
| task_categories: |
| - text-classification |
| dataset_version: 0.2.3 |
| dataset_info: |
| features: |
| - name: FEATURE_phases |
| list: |
| class_label: |
| names: |
| '0': NA |
| '1': EARLY_PHASE1 |
| '2': PHASE1 |
| '3': PHASE2 |
| '4': PHASE3 |
| '5': PHASE4 |
| - name: FEATURE_enrollmentCount |
| dtype: int64 |
| - name: FEATURE_allocation |
| dtype: string |
| - name: FEATURE_interventionModel |
| dtype: string |
| - name: FEATURE_primaryPurpose |
| dtype: |
| class_label: |
| names: |
| '0': TREATMENT |
| '1': PREVENTION |
| '2': DIAGNOSTIC |
| '3': ECT |
| '4': SUPPORTIVE_CARE |
| '5': SCREENING |
| '6': HEALTH_SERVICES_RESEARCH |
| '7': BASIC_SCIENCE |
| '8': DEVICE_FEASIBILITY |
| '9': OTHER |
| - name: FEATURE_masking |
| dtype: |
| class_label: |
| names: |
| '0': NONE |
| '1': SINGLE |
| '2': DOUBLE |
| '3': TRIPLE |
| '4': QUADRUPLE |
| - name: FEATURE_healthyVolunteers |
| dtype: bool |
| - name: FEATURE_sex |
| dtype: |
| class_label: |
| names: |
| '0': ALL |
| '1': FEMALE |
| '2': MALE |
| - name: FEATURE_oversightHasDmc |
| dtype: bool |
| - name: FEATURE_briefSummary |
| dtype: string |
| - name: FEATURE_detailedDescription |
| dtype: string |
| - name: FEATURE_conditions |
| dtype: string |
| - name: FEATURE_conditionsKeywords |
| dtype: string |
| - name: FEATURE_protocolPdfText |
| dtype: string |
| - name: FEATURE_numArms |
| dtype: int64 |
| - name: FEATURE_armDescriptions |
| dtype: string |
| - name: FEATURE_armGroupTypes |
| list: |
| class_label: |
| names: |
| '0': EXPERIMENTAL |
| '1': ACTIVE_COMPARATOR |
| '2': PLACEBO_COMPARATOR |
| '3': SHAM_COMPARATOR |
| '4': NO_INTERVENTION |
| '5': OTHER |
| - name: FEATURE_numInterventions |
| dtype: int64 |
| - name: FEATURE_interventionTypes |
| list: |
| class_label: |
| names: |
| '0': DRUG |
| '1': DEVICE |
| '2': BIOLOGICAL |
| '3': PROCEDURE |
| '4': RADIATION |
| '5': BEHAVIORAL |
| '6': GENETIC |
| '7': DIETARY_SUPPLEMENT |
| '8': COMBINATION_PRODUCT |
| '9': DIAGNOSTIC_TEST |
| '10': OTHER |
| - name: FEATURE_interventionDescriptions |
| dtype: string |
| - name: FEATURE_interventionNames |
| dtype: string |
| - name: FEATURE_numLocations |
| dtype: int64 |
| - name: FEATURE_locationDetails |
| dtype: string |
| - name: LABEL_ct_level_ade_population |
| dtype: int64 |
| - name: LABEL_sum_dosing_errors |
| dtype: int64 |
| - name: LABEL_dosing_error_rate |
| dtype: float32 |
| - name: LABEL_wilson_label |
| dtype: int64 |
| - name: METADATA_nctId |
| dtype: string |
| - name: METADATA_overallStatus |
| dtype: |
| class_label: |
| names: |
| '0': ACTIVE_NOT_RECRUITING |
| '1': COMPLETED |
| '2': ENROLLING_BY_INVITATION |
| '3': NOT_YET_RECRUITING |
| '4': RECRUITING |
| '5': SUSPENDED |
| '6': TERMINATED |
| '7': WITHDRAWN |
| '8': AVAILABLE |
| '9': NO_LONGER_AVAILABLE |
| '10': TEMPORARILY_NOT_AVAILABLE |
| '11': APPROVED_FOR_MARKETING |
| '12': WITHHELD |
| '13': UNKNOWN |
| - name: METADATA_completionDate |
| dtype: date32 |
| - name: METADATA_startDate |
| dtype: date32 |
| - name: METADATA_leadSponsorName |
| dtype: string |
| - name: METADATA_leadSponsorClass |
| dtype: |
| class_label: |
| names: |
| '0': NIH |
| '1': FED |
| '2': OTHER_GOV |
| '3': INDIV |
| '4': INDUSTRY |
| '5': NETWORK |
| '6': AMBIG |
| '7': OTHER |
| '8': UNKNOWN |
| - name: METADATA_hasProtocol |
| dtype: bool |
| - name: METADATA_hasSap |
| dtype: bool |
| - name: METADATA_hasIcf |
| dtype: bool |
| - name: METADATA_protocolPdfLinks |
| dtype: string |
| - name: METADATA_count_Accidental drug intake by child |
| dtype: int64 |
| - name: METADATA_count_Accidental overdose |
| dtype: int64 |
| - name: METADATA_count_Accidental overdose (therapeutic agent) |
| dtype: int64 |
| - name: METADATA_count_Accidental underdose |
| dtype: int64 |
| - name: METADATA_count_Deliberate overdose |
| dtype: int64 |
| - name: METADATA_count_Dose calculation error |
| dtype: int64 |
| - name: METADATA_count_Drug administration error |
| dtype: int64 |
| - name: METADATA_count_Drug overdose |
| dtype: int64 |
| - name: METADATA_count_Drug overdose accidental |
| dtype: int64 |
| - name: METADATA_count_Extra dose administered |
| dtype: int64 |
| - name: METADATA_count_Incorrect dosage administered |
| dtype: int64 |
| - name: METADATA_count_Incorrect dose administered |
| dtype: int64 |
| - name: METADATA_count_Incorrect drug administration duration |
| dtype: int64 |
| - name: METADATA_count_Incorrect drug administration rate |
| dtype: int64 |
| - name: METADATA_count_Incorrect product administration duration |
| dtype: int64 |
| - name: METADATA_count_Intentional overdose |
| dtype: int64 |
| - name: METADATA_count_Medication error |
| dtype: int64 |
| - name: METADATA_count_Medication monitoring error |
| dtype: int64 |
| - name: METADATA_count_Multiple drug overdose |
| dtype: int64 |
| - name: METADATA_count_Multiple drug overdose accidental |
| dtype: int64 |
| - name: METADATA_count_Multiple drug overdose intentional |
| dtype: int64 |
| - name: METADATA_count_Multiple use of single-use product |
| dtype: int64 |
| - name: METADATA_count_Non-accidental overdose |
| dtype: int64 |
| - name: METADATA_count_Overdose |
| dtype: int64 |
| - name: METADATA_count_Overdose NOS |
| dtype: int64 |
| - name: METADATA_count_Overmedication |
| dtype: int64 |
| - name: METADATA_count_Prescribed overdose |
| dtype: int64 |
| - name: METADATA_count_Treatment noncompliance |
| dtype: int64 |
| - name: METADATA_count_Underdose |
| dtype: int64 |
| - name: METADATA_count_Unintentional medical device removal |
| dtype: int64 |
| - name: METADATA_count_Unintentional medical device removal by patient |
| dtype: int64 |
| - name: METADATA_wilson_lower_bound |
| dtype: float32 |
| splits: |
| - name: train |
| num_bytes: 1263717270 |
| num_examples: 29478 |
| - name: validation |
| num_bytes: 1381971767 |
| num_examples: 6316 |
| - name: test |
| num_bytes: 1534015699 |
| num_examples: 6318 |
| download_size: 1829605503 |
| dataset_size: 4179704736 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| --- |
| |
| # Dataset Card for ct-dosing-errors |
|
|
| This dataset provides the materials accompanying the paper "[Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning](https://huggingface.co/papers/2602.22285)". |
|
|
| The dataset is designed for the prediction of dosing errors in interventional clinical research. It comprises 42,112 clinical trials extracted from ClinicalTrials.gov, containing structured, semi-structured trial data, and unstructured protocol-related free-text data. |
|
|
| ## Links |
|
|
| - **Paper:** [https://huggingface.co/papers/2602.22285](https://huggingface.co/papers/2602.22285) |
| - **GitHub Repository:** [https://github.com/ds4dh/CT-dosing-errors](https://github.com/ds4dh/CT-dosing-errors) |
|
|
| ## Sample Usage |
|
|
| You can load the dataset using the `datasets` library: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset( |
| "ds4dh/ct-dosing-errors", |
| split="train" |
| ) |
| |
| print(ds) |
| print(ds.features) |
| ``` |
|
|
| ## Dataset Summary |
|
|
| The dataset includes labels for the prediction of dosing errors derived from adverse event reports and MedDRA terminology. It features a wide range of fields including: |
| - **Textual data:** Brief summaries, detailed descriptions, conditions, and protocol PDF text. |
| - **Structured data:** Clinical trial phases, enrollment counts, allocation, and intervention types. |
| - **Labels:** Binary indicators (`LABEL_wilson_label`) for elevated dosing error rates. |
|
|
| ## Version |
| This repository contains dataset version **0.2.3**. |
|
|
| ## License |
| This dataset is licensed under **CC BY 4.0** (`cc-by-4.0`). |
