A1 int64 | A2 int64 | A3 int64 | A4 int64 | A5 int64 | A6 int64 | A7 int64 | A8 int64 | A9 int64 | A10 int64 | Age float64 | gender string | ethnicity string | jaundice string | ASD_label string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 15 | m | hispanic | yes | NO |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 15 | m | black | no | NO |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | f | ? | no | NO |
0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 14 | f | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 16 | f | ? | no | YES |
1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 13 | f | ? | no | NO |
0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 16 | f | ? | no | NO |
1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 15 | f | middle eastern | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 12 | m | black | yes | NO |
0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 12 | f | south asian | no | NO |
1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 13 | f | middle eastern | yes | NO |
1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 13 | f | white european | no | NO |
1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | f | white european | no | YES |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | f | others | yes | NO |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 13 | f | white european | no | YES |
1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 12 | m | white european | no | YES |
0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 14 | m | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | f | white european | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 13 | m | middle eastern | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 14 | m | hispanic | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 12 | f | others | no | YES |
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | m | middle eastern | no | NO |
1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 14 | f | white european | no | NO |
1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 13 | m | ? | no | NO |
0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | others | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 14 | f | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 13 | m | white european | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 16 | f | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 12 | m | middle eastern | yes | YES |
1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 14 | f | others | no | YES |
1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 16 | f | latino | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | f | black | no | YES |
0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 14 | f | others | no | YES |
0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 12 | m | white european | no | YES |
0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 12 | m | white european | no | YES |
1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | m | white european | no | YES |
1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 13 | f | others | yes | NO |
1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 16 | m | hispanic | no | NO |
0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | hispanic | no | YES |
0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 15 | f | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | asian | yes | YES |
0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | asian | yes | YES |
1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 12 | m | asian | no | NO |
1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 12 | f | black | no | YES |
1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 14 | f | south asian | no | YES |
0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 13 | m | asian | no | NO |
0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 13 | m | asian | no | YES |
1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 16 | f | black | no | YES |
0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 13 | m | middle eastern | no | NO |
1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | f | hispanic | no | NO |
0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 15 | m | latino | no | NO |
0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | m | black | no | NO |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 16 | m | white european | no | YES |
0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | m | latino | no | NO |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | latino | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 12 | f | white european | no | YES |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | f | white european | no | NO |
0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | f | white european | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 16 | f | white european | yes | YES |
1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 14 | f | white european | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 15 | f | white european | no | YES |
1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 15 | f | asian | no | YES |
0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 16 | m | white european | no | NO |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 13 | f | white european | no | YES |
1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 14 | m | others | no | YES |
1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 13 | f | white european | no | NO |
0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 16 | f | white european | no | YES |
1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 12 | f | black | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 12 | m | white european | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 16 | m | asian | no | YES |
1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 16 | m | asian | no | NO |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 14 | f | white european | no | YES |
1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | m | asian | yes | NO |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 14 | m | white european | no | YES |
1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 16 | f | white european | yes | YES |
0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 13 | f | black | no | NO |
1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 16 | m | south asian | no | NO |
1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 16 | m | asian | no | YES |
1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 15 | m | white european | no | NO |
1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 14 | m | white european | no | NO |
0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 16 | m | asian | yes | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 16 | m | asian | yes | YES |
0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 16 | f | white european | yes | NO |
1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 14 | m | white european | no | YES |
1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 13 | m | white european | no | NO |
1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 16 | m | white european | no | YES |
1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | m | white european | yes | YES |
1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | m | asian | no | NO |
1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 16 | m | white european | yes | YES |
1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 15 | m | asian | no | NO |
1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 15 | f | middle eastern | no | YES |
1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 16 | f | latino | no | YES |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 15 | f | ? | no | NO |
0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 12 | f | middle eastern | no | NO |
0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 16 | f | middle eastern | no | NO |
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ASD Screening Dataset V3
This repository contains the curated V3 version of the Autism Spectrum Disorder (ASD) screening dataset. The final release combines the earlier V1 and V2 sources, removes cross-dataset duplicates, and applies a final age-quality cleanup so the dataset is ready for downstream analysis and model development.
Source Datasets
- V1: UCI Machine Learning Repository ASD Screening dataset, cited as thabtah2017.
- V2: Supplementary ASD screening dataset from the University of Arkansas, Department of Computer Science, cited as afarinbargrizan2024asd.
Dataset Curation Phases
Phase 1: Merge and Deduplicate
The first phase combined V1 and V2 records across the three age groups and removed duplicate patients using the screening responses and demographic fields as a composite match key.
Final counts after duplicate removal were:
- Adult: 739 records
- Adolescent: 824 records
- Child: 2,512 records
- Total before final age cleanup: 4,075 records
Duplicate Analysis
The following duplicates were identified and removed during Phase 1:
Duplicate Distribution by Age Group (% of V2 Records)
| Age Group | Duplicates | % of V2 |
|---|---|---|
| Child | 6 | 0.3% |
| Adolescent | 0 | 0.0% |
| Adult | 380 | 91.6% |
| Total | 386 | 11.5% |
Duplicate Distribution by Age Group (% of V1 Records)
| Age Group | Duplicates | % of V1 |
|---|---|---|
| Child | 6 | 2.1% |
| Adolescent | 0 | 0.0% |
| Adult | 380 | 54.0% |
| Total | 386 | 35.1% |
Phase 2: Final Age Cleanup
The second phase focused on data quality validation for age.
- 3 adult records with age greater than 100 were removed as biologically implausible outliers, reducing the adult group from 739 to 736 records.
- Earlier age-band review notes identified 6 adolescent records that were moved to the child group, while 4 child records with missing age were excluded from the child count during the final pass.
- This results in a final Child count of 2,514 records.
- The child and adolescent groups were reviewed for age consistency during the final curation pass.
Final V3 Dataset Statistics
The cleaned V3 dataset contains 4,068 records in total:
| Age Group | Records | Percentage |
|---|---|---|
| Child | 2,514 | 61.8% |
| Adolescent | 818 | 20.1% |
| Adult | 736 | 18.1% |
| Total | 4,068 | 100.0% |
Class Distribution
The released CSV files include the ASD label for each record. The distribution in the current V3 CSVs is:
| File / Group | Total | ASD (YES) | Non-ASD (NO) |
|---|---|---|---|
| Child | 2,514 | 1,507 (59.9%) | 1,007 (40.1%) |
| Adolescent | 818 | 436 (53.3%) | 382 (46.7%) |
| Adult | 736 | 192 (26.1%) | 544 (73.9%) |
| Overall | 4,068 | 2,135 (52.5%) | 1,933 (47.5%) |
Age Statistics
Child
- Min: 1
- Max: 11
- Mean: 4.6
- Median: 4.0
- Std: 2.8
Adolescent
- Min: 12
- Max: 16
- Mean: 14.0
- Median: 14.0
- Std: 0.7
Adult
- Min: 17
- Max: 64
- Mean: 29.5
- Median: 27.0
- Std: 9.8
Final Feature Set
The simplified V3 files contain 15 columns:
- Screening questions: A1 to A10
- Demographics: Age, gender, ethnicity, jaundice
- Target label: ASD_label
Notes
- The final simplified files are stored in the
v3/folder. - Full 21-column backups are preserved in
v3/backup_full_columns/. - The adult age outlier cleanup used a threshold of age > 100.
- This README reflects the cleaned final V3 release intended for public dataset use.
How to Cite This Curated Dataset
If you use this curated V3 release, please cite it as: ASD Screening Dataset V3 (curated from thabtah2017 and afarinbargrizan2024asd), version 3, total records = 4,068.
Technical Documentation
For detailed information about dataset construction, feature mapping, V1/V2 composition, and data normalization, see DATASET_CONSTRUCTION.md.
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