ID stringlengths 40 132 | FILENAME stringlengths 4 138 | URL stringlengths 90 498 | LICENSE stringclasses 13
values | PERMISSIVE bool 1
class | REPO stringlengths 7 113 | PATH stringlengths 4 184 | TABLE_NAME stringlengths 1 91 ⌀ | COMMIT_SHA stringlengths 40 40 | BLOB_SHA stringlengths 40 40 | FAMILY_ID stringlengths 16 16 | COLUMNS listlengths 1 19.8k | ROWS listlengths 1 10k | ROWS_TOTAL int64 1 1.38M | ROWS_STORED int64 1 10k | PII_REPLACED_COLUMNS listlengths 0 15 | CREATED_AT timestamp[ms, tz=UTC]date 2010-04-08 03:52:57 2026-10-10 20:44:23 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 4741c6edaf431ba2 | [
"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 | [] | 2026-05-13T12:05:53 |
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 | c14190ad5c21e316 | [
"Day",
"Media"
] | [
[
"62",
"517848"
],
[
"63",
"471682"
],
[
"64",
"455234"
],
[
"65",
"449898"
],
[
"66",
"385454"
],
[
"67",
"412209"
],
[
"68",
"409974"
],
[
"69",
"422060"
],
[
"70",
"432407"
],
[
"71",
"406312"
]... | 119 | 119 | [] | 2025-06-15T00:44:00 |
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 | 836aedb2e74d61e6 | [
"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 | [] | 2025-05-25T03:24:44 |
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 | 90f3494ae65c9cdb | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 20ee06f6c2b5700d | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 9dbbc8d60d7f9a96 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 411ee51910fe2653 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | dca33ccfbc1b5718 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | b7004676f798af96 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 3c6c9f9757b916e4 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 0feb88d7fe341950 | [
"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 | [] | 2026-03-24T10:11:40 |
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 | c92872cf738aa646 | [
"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 | [] | 2026-09-08T18:45:55 |
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 | 4fe235e433ff36ac | [
"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 | [] | 2026-03-24T10:11:40 |
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 | 605f897073fe8e8f | [
"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 | [] | 2026-03-24T10:11:40 |
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 | aba5100b925c1287 | [
"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 | [] | 2026-03-24T10:11:40 |
GitTables-NG and SchemaPile-NG
Tables and database schemas from permissively licensed public GitHub repositories, snapshot of 2026-10-14.
| config | records | |
|---|---|---|
gittables-ng |
265,796 tables | 239,460,508 rows stored (up to 10 000 per table) |
schemapile-ng |
25,447 schemas | 259,111 tables |
From 27,817 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, JSON Lines, Excel/ODS, Parquet and SQLite/DuckDB files become tables,
.sql/.ddlfiles withCREATE TABLE, SQLite/DuckDB databases and Prisma schemas become schemas (text formats also gzipped). A Prisma schema is converted to the tables Prisma Migrate creates for its database: SQL types, defaults, keys and foreign keys as in that database. SQL migration folders are skipped. Identical files are kept once. - Within a repository: one-table SQL files of a folder are merged into one schema; older versions, the same schema for other database systems, tables whose rows are in a larger version of themselves and copies of a schema structure are left out; at most 5 tables per family (same repository, same columns) are included, the largest (182,126 more left out).
- 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 the schema of SchemaPile plus CREATED_AT
(drop that column to concatenate the two). IS_INDEX and INDEXES are not extracted and stay empty; VALUES (enum values),
ON_DELETE and ON_UPDATE are filled for schemas from Prisma files.
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, database table or SQL INSERT table),
COMMIT_SHA, BLOB_SHA, FAMILY_ID (same repository and columns), COLUMNS (header as found), ROWS (cells as strings), ROWS_TOTAL, ROWS_STORED,
PII_REPLACED_COLUMNS.
CREATED_AT (both configs): when the source file was created, the author date of the first commit that touched it
(for a schema merged from a folder: the folder); empty where GitHub could not date it.
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 | 155,416 |
| Apache-2.0 | 65,574 |
| CC-BY-4.0 | 20,505 |
| BSD-3-Clause | 16,560 |
| BSD-2-Clause | 9,708 |
| CC0-1.0 | 9,070 |
| Unlicense | 3,977 |
| MIT-0 | 2,218 |
| BSL-1.0 | 1,882 |
| ISC | 1,822 |
| WTFPL | 1,466 |
| PostgreSQL | 1,324 |
| 0BSD | 1,032 |
| Zlib | 689 |
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