Datasets:
ID stringlengths 40 124 | FILENAME stringlengths 5 104 | URL stringlengths 90 498 | LICENSE stringclasses 10
values | PERMISSIVE bool 1
class | REPO stringclasses 737
values | PATH stringlengths 5 182 | TABLE_NAME stringlengths 1 83 ⌀ | COMMIT_SHA stringclasses 737
values | BLOB_SHA stringlengths 40 40 | COLUMNS listlengths 1 12.6k | ROWS listlengths 1 10k | ROWS_TOTAL int64 1 1.38M | ROWS_STORED int64 1 10k | PII_REPLACED_COLUMNS listlengths 0 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 | [] |
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/.ddlfiles withCREATE TABLEand 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_COLUMNSlists 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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