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PII_REPLACED_COLUMNS
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5
9e6a36214b9dcd6e9a29dd1199cf0496782a2745
16-diabetes.csv
https://github.com/berkaylacinkaya/diabet-classification-ml-model/blob/5cc21902f4085b7b14b7ac530d78144a4051e5a9/16-diabetes.csv?raw=true
MIT
true
berkaylacinkaya/diabet-classification-ml-model
16-diabetes.csv
null
5cc21902f4085b7b14b7ac530d78144a4051e5a9
9e6a36214b9dcd6e9a29dd1199cf0496782a2745
[ "Pregnancies", "Glucose", "BloodPressure", "SkinThickness", "Insulin", "BMI", "DiabetesPedigreeFunction", "Age", "Outcome" ]
[ [ "6", "148", "72", "35", "0", "33.6", "0.627", "50", "1" ], [ "1", "85", "66", "29", "0", "26.6", "0.351", "31", "0" ], [ "8", "183", "64", "0", "0", "23.3", "0.672", "32", "1" ], [ "1", ...
768
768
[]
81c1f258ecee22e0d9636317a024859dfb331ace
media-generated-6mo.csv
https://github.com/deepakworld/pollinations/blob/6b2820def2ac983b82686b1e21e0bea112757de4/operations/pitch-deck/scripts/media-generated-6mo.csv?raw=true
MIT
true
deepakworld/pollinations
operations/pitch-deck/scripts/media-generated-6mo.csv
null
6b2820def2ac983b82686b1e21e0bea112757de4
81c1f258ecee22e0d9636317a024859dfb331ace
[ "Day", "Media" ]
[ [ "62", "517848" ], [ "63", "471682" ], [ "64", "455234" ], [ "65", "449898" ], [ "66", "385454" ], [ "67", "412209" ], [ "68", "409974" ], [ "69", "422060" ], [ "70", "432407" ], [ "71", "406312" ]...
119
119
[]
47416df59ac6643ba7069b73774c9d8e294214e0
pollinations_media_requests_per_day.csv
https://github.com/deepakworld/pollinations/blob/6b2820def2ac983b82686b1e21e0bea112757de4/operations/pitch-deck/archive/media/pollinations_media_requests_per_day.csv?raw=true
MIT
true
deepakworld/pollinations
operations/pitch-deck/archive/media/pollinations_media_requests_per_day.csv
null
6b2820def2ac983b82686b1e21e0bea112757de4
47416df59ac6643ba7069b73774c9d8e294214e0
[ "date", "media_requested" ]
[ [ "2024-10-01", "318163" ], [ "2024-10-02", "320312" ], [ "2024-10-03", "336724" ], [ "2024-10-04", "343213" ], [ "2024-10-05", "364838" ], [ "2024-10-06", "387795" ], [ "2024-10-07", "389763" ], [ "2024-10-08", "420435" ]...
215
215
[]
46e5d79b7cebd6dcca5dd7b009bff2cbd7877e75
response_text_memory.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/response_text_memory.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/response_text_memory.csv
null
278d50b474e80d866965fab974ad4d874c365226
46e5d79b7cebd6dcca5dd7b009bff2cbd7877e75
[ "field_id", "text", "created_at" ]
[ [ "q0", "Psilocybin", "2026-03-24 09:18:42" ], [ "q1", "Medium", "2026-03-24 09:18:42" ], [ "q_context", "Therapeutic retreat with two guides", "2026-03-24 09:18:42" ] ]
3
3
[]
258c9feecefaba4bcc62f914c18a10cd9fe072e8
response_text_table.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/response_text_table.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/response_text_table.csv
null
278d50b474e80d866965fab974ad4d874c365226
258c9feecefaba4bcc62f914c18a10cd9fe072e8
[ "id", "submission_id", "field_id", "text", "created_at" ]
[ [ "201", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q0", "Psilocybin", "2026-03-24 09:18:45" ], [ "202", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q1", "Medium", "2026-03-24 09:18:45" ], [ "203", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q_context", "Thera...
3
3
[]
0c44e7c712785cda7180f213a23305e4f69c69d6
responses_df.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/responses_df.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/responses_df.csv
null
278d50b474e80d866965fab974ad4d874c365226
0c44e7c712785cda7180f213a23305e4f69c69d6
[ "item_id", "type", "value" ]
[ [ "q0", "selectInput", "Psilocybin" ], [ "q1", "radioButtons", "Medium" ], [ "q_context", "textAreaInput", "Therapeutic retreat with two guides" ], [ "q2", "sliderInput", "30" ], [ "q3", "sliderInput", "76" ], [ "q4", "sliderInp...
18
18
[]
51762f782d42405db1e8b5806454ef110c7364ab
response_numeric_memory.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/response_numeric_memory.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/response_numeric_memory.csv
null
278d50b474e80d866965fab974ad4d874c365226
51762f782d42405db1e8b5806454ef110c7364ab
[ "item_id", "value", "created_at" ]
[ [ "q2", "30", "2026-03-24 09:18:42" ], [ "q3", "76", "2026-03-24 09:18:42" ], [ "q4", "68", "2026-03-24 09:18:42" ], [ "q6", "78", "2026-03-24 09:18:42" ], [ "q7", "18", "2026-03-24 09:18:42" ], [ "q10", "26", "2026-03-24 09...
15
15
[]
88a2e870d8f504de1ca9efcd3604f5d7d73cd040
asc_factor_scores.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/asc_factor_scores.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/asc_factor_scores.csv
null
278d50b474e80d866965fab974ad4d874c365226
88a2e870d8f504de1ca9efcd3604f5d7d73cd040
[ "scale_id", "score_value", "created_at" ]
[ [ "Experience of Unity", "82", "2026-03-24 09:18:43" ], [ "Spiritual Experience", "76", "2026-03-24 09:18:43" ], [ "Blissful State", "68", "2026-03-24 09:18:43" ], [ "Insightfulness", "74", "2026-03-24 09:18:43" ], [ "Disembodiment", "28", ...
11
11
[]
d1ca9fe933e214230a4c53852b4532527fdbc3dc
peer_plot_submission_cache.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/peer_plot_submission_cache.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/peer_plot_submission_cache.csv
null
278d50b474e80d866965fab974ad4d874c365226
d1ca9fe933e214230a4c53852b4532527fdbc3dc
[ "submission_id", "instrument_id", "instrument_version", "induction_method_raw", "induction_method_canon", "dose_label_raw", "dose_label_canon", "scale_count", "has_complete_scales", "updated_at" ]
[ [ "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "axp_core_survey", "questionnaire_09_03_26", "Psilocybin", "psilocybin", "Medium", "medium", "11", "1", "2026-03-24 09:18:46" ], [ "peer-a-2026-03-18", "axp_core_survey", "questionnaire_09_03_26", "Psilocybin", ...
6
6
[]
2408f2e1860bd663e104fb67a04a60efd164b855
score_table.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/score_table.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/score_table.csv
null
278d50b474e80d866965fab974ad4d874c365226
2408f2e1860bd663e104fb67a04a60efd164b855
[ "id", "submission_id", "scale_id", "score_value", "created_at" ]
[ [ "301", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "Experience of Unity", "82", "2026-03-24 09:18:45" ], [ "302", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "Spiritual Experience", "76", "2026-03-24 09:18:45" ], [ "303", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", ...
11
11
[]
b6e2720647c17748770b5d2a6f55333abb958933
response_numeric_table.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/response_numeric_table.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/response_numeric_table.csv
null
278d50b474e80d866965fab974ad4d874c365226
b6e2720647c17748770b5d2a6f55333abb958933
[ "id", "submission_id", "item_id", "value", "created_at" ]
[ [ "101", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q2", "30", "2026-03-24 09:18:45" ], [ "102", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q3", "76", "2026-03-24 09:18:45" ], [ "103", "6f9d0e2c-1234-4ad9-acde-8b9df7301f00", "q4", "68", "2026-03-24 09:...
15
15
[]
cbb9282a425fc6bb86e167a5fb4d3fdc14776e97
axp-5d-asc-item-number-crosswalk.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/assets/axp-5d-asc-item-number-crosswalk.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/assets/axp-5d-asc-item-number-crosswalk.csv
null
278d50b474e80d866965fab974ad4d874c365226
cbb9282a425fc6bb86e167a5fb4d3fdc14776e97
[ "item_id", "source_5d_asc_item_number", "scale_id" ]
[ [ "q2", "8", "Disembodiment" ], [ "q3", "9", "Spiritual Experience" ], [ "q4", "12", "Blissful State" ], [ "q5", "14", "Elementary Imagery" ], [ "q6", "18", "Experience of Unity" ], [ "q7", "20", "Audio-Visual Synesthesia" ...
42
42
[]
e37179dd21ec01f6d9d525b5b505f843853c2399
public_factor_scores.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/public_factor_scores.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/public_factor_scores.csv
null
278d50b474e80d866965fab974ad4d874c365226
e37179dd21ec01f6d9d525b5b505f843853c2399
[ "peer_id", "instrument_version", "induction_method", "dose_label", "scale_id", "score_value" ]
[ [ "6c2b66e47b6f7c974b6ea6c21c14ffef90a1d24b937b46c7aa4031d67c1477a1", "questionnaire_09_03_26", "psilocybin", "medium", "Experience of Unity", "82" ], [ "6c2b66e47b6f7c974b6ea6c21c14ffef90a1d24b937b46c7aa4031d67c1477a1", "questionnaire_09_03_26", "psilocybin", "medium", ...
11
11
[]
043a63246c121ba6a9551e44acf08361f7982af0
questionnaire_definition.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/questionnaire_definition.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/questionnaire_definition.csv
null
278d50b474e80d866965fab974ad4d874c365226
043a63246c121ba6a9551e44acf08361f7982af0
[ "language", "item_id", "label", "type", "required", "active", "order", "scale_id", "randomize_question_order", "induction_method_1", "dose_options_1", "dose_label_override_1", "induction_method_2", "dose_options_2", "dose_label_override_2" ]
[ [ "en", "q0", "The drug I took was:", "selectInput", "1", "1", "1", "", "1", "", "", "", "", "", "" ], [ "en", "q1", "The dose I took was:", "radioButtons", "1", "1", "2", "", "", "Psilocybin", "Low;Medium;Hi...
16
16
[]
82d1db532b31961330a7a84d8029e42b135dc441
peer_plot_scores_query.csv
https://github.com/mesmerprism/axp-mvp-survey-guide/blob/278d50b474e80d866965fab974ad4d874c365226/docs/mock-data/peer_plot_scores_query.csv?raw=true
MIT
true
mesmerprism/axp-mvp-survey-guide
docs/mock-data/peer_plot_scores_query.csv
null
278d50b474e80d866965fab974ad4d874c365226
82d1db532b31961330a7a84d8029e42b135dc441
[ "peer_id", "scale_id", "value", "instrument_id", "instrument_version", "induction_method", "dose_label" ]
[ [ "peer-a-2026-03-18", "Experience of Unity", "76", "axp_core_survey", "questionnaire_09_03_26", "Psilocybin", "Medium" ], [ "peer-a-2026-03-18", "Spiritual Experience", "70", "axp_core_survey", "questionnaire_09_03_26", "Psilocybin", "Medium" ], [ ...
33
33
[]
End of preview. Expand in Data Studio

GitTables-NG and SchemaPile-NG

Tables and database schemas from permissively licensed public GitHub repositories, snapshot of 2026-10-10.

config records
gittables-ng 36,048 tables 25,250,154 rows stored (up to 10 000 per table)
schemapile-ng 3,789 schemas 19,712 tables

From 840 repositories.

from datasets import load_dataset
tables = load_dataset("cwolff/testpile", "gittables-ng", split="full")
schemas = load_dataset("cwolff/testpile", "schemapile-ng", split="full")

How it was built

  • Repositories come from a uniform random sample of GitHub, license-qualified repository search and code search.
  • Only permissive licenses are admitted, checked before anything is downloaded and again against the license file in the clone. Records from files near a restrictive data-license statement (non-commercial, ODbL, ...) are left out.
  • Each repository is processed in a sandbox; CSV/TSV/Excel/ODS/SQLite files become tables, .sql/.ddl files with CREATE TABLE and SQLite databases become schemas. SQL migration folders are skipped. Identical files are kept once.
  • Columns detected as personal data (emails, phone numbers, IBANs, names next to those) are replaced with Faker values; PII_REPLACED_COLUMNS lists them per table.

Fields

schemapile-ng uses exactly the schema of SchemaPile, so the two can be concatenated. IS_INDEX, VALUES, INDEXES, ON_DELETE and ON_UPDATE are not extracted and stay empty.

gittables-ng, one record per table: ID (blob SHA, plus /<sheet or table>), FILENAME, URL (file at the commit), LICENSE, PERMISSIVE, REPO, PATH, TABLE_NAME (Excel sheet, SQLite table or SQL INSERT table), COMMIT_SHA, BLOB_SHA, COLUMNS (header as found), ROWS (cells as strings), ROWS_TOTAL, ROWS_STORED, PII_REPLACED_COLUMNS.

Licenses and attribution

Each record keeps the license of the repository it comes from. ATTRIBUTION.csv lists source repository, commit, path, license and copyright line for every record, which is the attribution CC-BY-4.0 and similar licenses require.

license records
MIT 20,674
Apache-2.0 7,486
CC-BY-4.0 6,939
CC0-1.0 3,055
BSD-3-Clause 1,293
PostgreSQL 162
BSD-2-Clause 144
Unlicense 63
ISC 19
MIT-0 2
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