| { |
| "version": "devtools-v1", |
| "seed": "devtools-v1", |
| "partitions": [ |
| "train", |
| "development", |
| "test" |
| ], |
| "locked": [ |
| "test" |
| ], |
| "files": { |
| "train.jsonl": { |
| "sha256": "587682c145cbbc0c8c990e9d649da7b972853a9eaaef71e9b7b0fa18163b962c", |
| "records": 5320, |
| "questions": 6973, |
| "bytes": 8924680, |
| "in_git": true, |
| "by_source": { |
| "aegis": 1500, |
| "codereviewer": 1500, |
| "commitpackft": 1500, |
| "flakeflagger": 820 |
| } |
| }, |
| "development.jsonl": { |
| "sha256": "3df3aa83890c43db65ac73b5bb6e4fbb1466362fc1a25dbd383d4d2edd0a1fe6", |
| "records": 900, |
| "questions": 1074, |
| "bytes": 1731002, |
| "in_git": true, |
| "by_source": { |
| "aegis": 150, |
| "codereviewer": 150, |
| "commitpackft": 150, |
| "flakeflagger": 150, |
| "prompt_injection": 150, |
| "when2call": 150 |
| } |
| }, |
| "test.jsonl": { |
| "sha256": "2fb7c2a239fef923bcb62c0eee9d6884a608ce30e5e74a4e6b9082787679767f", |
| "records": 900, |
| "questions": 1073, |
| "bytes": 1686530, |
| "in_git": true, |
| "by_source": { |
| "aegis": 150, |
| "codereviewer": 150, |
| "commitpackft": 150, |
| "flakeflagger": 150, |
| "prompt_injection": 150, |
| "when2call": 150 |
| } |
| } |
| }, |
| "trainable_sources": [ |
| "codereviewer", |
| "commitpackft", |
| "aegis", |
| "flakeflagger" |
| ], |
| "eval_only_sources": [ |
| "when2call", |
| "prompt_injection" |
| ], |
| "holdout_sources": [], |
| "sources": { |
| "codereviewer": { |
| "trainable": true, |
| "licence": "CC-BY-4.0", |
| "licence_url": "https://zenodo.org/records/6900648", |
| "attribution": "Li et al., Automating Code Review Activities by Large-Scale Pre-Training (ESEC/FSE 2022), Microsoft CodeReviewer", |
| "label_provenance": "human: y = 1 when a human reviewer left a comment on the hunk in the original GitHub pull request, 0 otherwise (dataset label, unchanged)", |
| "licence_check": "diffs come from GitHub projects: kept only projects whose current GitHub licence (GitHub API spdx_id, scripts/devtools_v1_licences.json) is permissive; GPL/AGPL/LGPL/MPL/OSL/MS-PL, NOASSERTION and no-licence projects dropped. The licence is the repository's at lookup time, not at collection time.", |
| "pins": { |
| "zenodo": { |
| "record": 6900648, |
| "doi": "10.5281/zenodo.6900648", |
| "file": "Diff_Quality_Estimation.zip", |
| "md5": "aad78e57d7d591172922da96e38e47dd", |
| "sha256": "86d054de47741cb358c8a17ab55b6191356fc63e44010c864dd790481f41fff5", |
| "members": [ |
| "cls-valid.jsonl", |
| "cls-test.jsonl" |
| ] |
| }, |
| "licences": "scripts/devtools_v1_licences.json#codereviewer" |
| } |
| }, |
| "commitpackft": { |
| "trainable": true, |
| "licence": "MIT (dataset); per-row repository licence", |
| "licence_url": "https://huggingface.co/datasets/bigcode/commitpackft", |
| "attribution": "Muennighoff et al., OctoPack: Instruction Tuning Code Large Language Models (2023), BigCode", |
| "label_provenance": "heuristic: the commit type is the class of the first verb of the author's commit subject (commit_type); message match is by construction (the commit's own subject vs another commit's subject)", |
| "licence_check": "rows kept only when the per-row `license` (from the GitHub repository) is one of mit, apache-2.0, bsd-2-clause, bsd-3-clause, isc, cc0-1.0, unlicense", |
| "pins": { |
| "hf": "bigcode/commitpackft@fc56fe33c030c6daa414c2b112c932b8eed085e6", |
| "files": { |
| "data/python/data.jsonl": "d167da37e1058371c48e057cd8815d03700c867dd8bcf58e61420d4dcd288d73", |
| "data/javascript/data.jsonl": "968688a1163c2dbbced0d0f9cf1dd52bc0b626c2ad9b02ff23f5700b2e277f25", |
| "data/typescript/data.jsonl": "43d32596844c62aa23b0e5a8811648f6f20fa07d9ab80499d66507136b844a76", |
| "data/java/data.jsonl": "c51a331320f4220d6053e3389485916c738fcaccfd583298b7738af834fa19b9", |
| "data/go/data.jsonl": "05a65e973fcc6894a234fb382987cc25e26f053d60b032ea83540a5b36a528b8", |
| "data/rust/data.jsonl": "5611f3701026acf3c43ba64da50f4f65a078e84fba56e2bf313e8f2996b0cc68", |
| "data/c/data.jsonl": "a67d9aeac62e693fb782030ad7c4aa9e0d9f38a02bd2e06a438604a92628ca71", |
| "data/c++/data.jsonl": "ee59eb0dca07dadb74bde829134e0d3c42176e198773f125a14554a5547df4f2", |
| "data/c#/data.jsonl": "a58a0a03a9965fae11e20c53cf5661ecca6ae5b3ca241f2989db4c2c1be5c04a", |
| "data/ruby/data.jsonl": "6b1970e1c286f98445e519b92360eac5618f29f422c56ac949623d42dccd04b1", |
| "data/php/data.jsonl": "fda88bbb6483a504dcbaec36abd363eb6ae99531431fecc924d95ecdad91c691", |
| "data/shell/data.jsonl": "08eef5271d29368db2af8b0ca127c8d249d056ae7f6bce9c0692ade5dcad66ca" |
| } |
| } |
| }, |
| "aegis": { |
| "trainable": true, |
| "licence": "CC-BY-4.0", |
| "licence_url": "https://huggingface.co/datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0", |
| "attribution": "Ghosh et al., AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails (NAACL 2025), NVIDIA", |
| "label_provenance": "human: prompt_label (prompt_label_source is `human` on every row); category from the human violated_categories of prompt-only rows. Responses (Mistral-7B text, partly LLM-jury labels) are not used", |
| "licence_check": "card licence CC-BY-4.0, not gated. Prompts come from Anthropic HH-RLHF (MIT), DAN / jailbreak_llms (MIT) and AART (PaLM-generated): AART matches dropped. Note the card's out-of-scope paragraph: 'The data are intended for research purposes, especially research that can make models less harmful' next to the CC-BY-4.0 licence and the stated direct use 'to build LLM content safety moderation guardrails'", |
| "pins": { |
| "hf": "nvidia/Aegis-AI-Content-Safety-Dataset-2.0@d86bb8bedff51d25ac834ab7838f1cc61acb7a2c", |
| "files": { |
| "train.json": "154fba82c71d9fa73abd2ca5588a198e693ddc816c83444df180a22f613e02f6", |
| "validation.json": "a97200e226ad4f6ba6a639982f817f675909bc74513859df3e8fc9a92951dfcd", |
| "test.json": "b0a6d602260524866053cb34105194f074f2c2906e3691b68d43b9e6e9318f35" |
| }, |
| "aart_filter": { |
| "hf": "walledai/AART@dd98454c52d34e860f5927625a3989edd5617d78", |
| "files": { |
| "data/train-00000-of-00001.parquet": "d22e3a35637a129bbffa6055a9ae83df1327f373ea22ef6f3cfa1c2d17eba0f1" |
| } |
| } |
| } |
| }, |
| "when2call": { |
| "trainable": false, |
| "licence": "CC-BY-4.0", |
| "licence_url": "https://huggingface.co/datasets/nvidia/When2Call", |
| "attribution": "Ross et al., When2Call: When (not) to Call Tools (NAACL 2025), NVIDIA", |
| "label_provenance": "by construction (NVIDIA's pipeline over BFCL v2 Live): tool_call = the target tool is available, cannot_answer = the target tool was removed, request_for_info = a required parameter was removed from the question (question rewritten by Mixtral-8x22B, an open model). `direct` is never correct in the test MCQ", |
| "licence_check": "eval-only: only the test MCQ is used; it is derived from BFCL v2 Live (Apache-2.0), a community benchmark that must stay uncontaminated. The train splits derive from Salesforce/xlam-function-calling-60k, whose card carries a research-only statement, and are not used", |
| "pins": { |
| "hf": "nvidia/When2Call@0582f7749df63a96fdc3070932e83e72396ace53", |
| "files": { |
| "test/when2call_test_mcq.jsonl": "8c3694e583eeeb8dbc297e6cd90da70efc68efa4b6adb7227523e828c6b7b14c" |
| } |
| } |
| }, |
| "flakeflagger": { |
| "trainable": true, |
| "licence": "CC-BY-4.0 (Zenodo data); BSD-3-Clause (GitHub repo with the test bodies); test code under each project's licence", |
| "licence_url": "https://zenodo.org/records/4450723", |
| "attribution": "Alshammari et al., FlakeFlagger: Predicting Flakiness Without Rerunning Tests (ICSE 2021)", |
| "label_provenance": "heuristic (execution): IsFlaky from test_results.csv, i.e. the test both passed and failed across 10,000 reruns of its suite at the pinned commit", |
| "licence_check": "each project's LICENSE at the commit in Project_Info.csv was read (scripts/devtools_v1_licences.json); wildfly (LGPL-2.1) and logback (EPL-1.0 / LGPL-2.1) dropped; togglz dropped (not in Project_Info.csv, no pinned commit)", |
| "pins": { |
| "zenodo": { |
| "record": 4450723, |
| "doi": "10.5281/zenodo.4450723", |
| "files": { |
| "test_results.csv": "86210ed8ac0171a3d64cf5ab83d503cc97e82845e0299b9f55599a8414218f13", |
| "Project_Info.csv": "f0064b25ed64995842465b67c6fec86b5ddf72d30e1a7dc5b64abd8b0208e9fd" |
| } |
| }, |
| "github": "AlshammariA/FlakeFlagger@2fcbafc4713abbcc452bee07aa9681c7c8ccb707", |
| "tarball_sha256": "67da177462a3026655a9ed8ef4e7c87a86d538c599ed484080db3b355f6d76b1", |
| "licences": "scripts/devtools_v1_licences.json#flakeflagger" |
| } |
| }, |
| "prompt_injection": { |
| "trainable": false, |
| "licence": "Apache-2.0 (deepset/prompt-injections); MIT (Lakera/gandalf_ignore_instructions)", |
| "licence_url": "https://huggingface.co/datasets/deepset/prompt-injections ; https://huggingface.co/datasets/Lakera/gandalf_ignore_instructions", |
| "attribution": "deepset; Lakera (Gandalf)", |
| "label_provenance": "deepset: dataset label (labeller not stated on the card). Gandalf: every row is an attack prompt submitted to the Gandalf password game, selected by OpenAI text-embedding-ada-002 similarity >= 0.825 to 'Ignore all previous instructions' (positives only). Negatives are deepset benign prompts only", |
| "licence_check": "eval-only: small (662 + 1,000 rows), unstated labeller, closed-embedding selection of the attacks", |
| "pins": { |
| "deepset": { |
| "hf": "deepset/prompt-injections@4f61ecb038e9c3fb77e21034b22511b523772cdd", |
| "files": { |
| "data/train-00000-of-00001-9564e8b05b4757ab.parquet": "2e10bc7ab30f542c97e4e83e2a5683000b5057d25ec10908784c631d44124c04", |
| "data/test-00000-of-00001-701d16158af87368.parquet": "39ac797cabc157eeed58435a08593b2952bb6cb16fc394a2d383f447cc7b246e" |
| } |
| }, |
| "gandalf": { |
| "hf": "Lakera/gandalf_ignore_instructions@04737b65e90a6794ec227012e4a255a7def6344b", |
| "files": { |
| "data/train-00000-of-00001-ded53be747ff55cd.parquet": "5b6acf3e5a5998d21f8e1222bb45bbdec25a14408747b1cd63bebef4a75fa439", |
| "data/validation-00000-of-00001-94481a2a09ff2fff.parquet": "f51ab3e3407a368845b0f57932cc745c09280429416d7507bd178a16326a79f6", |
| "data/test-00000-of-00001-bc92128b9288a6d1.parquet": "56b646d133335ebc535266bd55dbe1b5bee7caa4b95bf49d040684b9b5dd9972" |
| } |
| } |
| } |
| } |
| }, |
| "counts": { |
| "test": { |
| "aegis": 150, |
| "codereviewer": 150, |
| "commitpackft": 150, |
| "flakeflagger": 150, |
| "prompt_injection": 150, |
| "when2call": 150 |
| }, |
| "development": { |
| "aegis": 150, |
| "codereviewer": 150, |
| "commitpackft": 150, |
| "flakeflagger": 150, |
| "prompt_injection": 150, |
| "when2call": 150 |
| }, |
| "train": { |
| "aegis": 1500, |
| "codereviewer": 1500, |
| "commitpackft": 1500, |
| "flakeflagger": 820 |
| } |
| }, |
| "groups": { |
| "test": { |
| "aegis": 150, |
| "codereviewer": 16, |
| "commitpackft": 141, |
| "flakeflagger": 4, |
| "prompt_injection": 150, |
| "when2call": 135 |
| }, |
| "development": { |
| "aegis": 150, |
| "codereviewer": 10, |
| "commitpackft": 137, |
| "flakeflagger": 3, |
| "prompt_injection": 150, |
| "when2call": 132 |
| }, |
| "train": { |
| "aegis": 1500, |
| "codereviewer": 108, |
| "commitpackft": 1374, |
| "flakeflagger": 13 |
| } |
| }, |
| "label_balance": { |
| "test": { |
| "aegis": { |
| "aegis_category": { |
| "criminal_planning": 5, |
| "hate": 7, |
| "pii": 4, |
| "self_harm": 5, |
| "sexual": 4 |
| }, |
| "aegis_unsafe": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "codereviewer": { |
| "codereviewer_needs_comment": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "commitpackft": { |
| "commitpackft_message": { |
| "false": 74, |
| "true": 74 |
| }, |
| "commitpackft_type": { |
| "change": 22, |
| "docs": 22, |
| "feature": 22, |
| "fix": 21, |
| "remove": 21, |
| "revert": 21, |
| "test": 21 |
| } |
| }, |
| "flakeflagger": { |
| "flakeflagger_flaky": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "prompt_injection": { |
| "prompt_injection": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "when2call": { |
| "when2call_action": { |
| "cannot_answer": 50, |
| "request_for_info": 50, |
| "tool_call": 50 |
| } |
| } |
| }, |
| "development": { |
| "aegis": { |
| "aegis_category": { |
| "criminal_planning": 10, |
| "harassment": 2, |
| "hate": 2, |
| "pii": 5, |
| "profanity": 2, |
| "self_harm": 2, |
| "violence": 2 |
| }, |
| "aegis_unsafe": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "codereviewer": { |
| "codereviewer_needs_comment": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "commitpackft": { |
| "commitpackft_message": { |
| "false": 75, |
| "true": 74 |
| }, |
| "commitpackft_type": { |
| "change": 22, |
| "docs": 22, |
| "feature": 22, |
| "fix": 21, |
| "remove": 21, |
| "revert": 21, |
| "test": 21 |
| } |
| }, |
| "flakeflagger": { |
| "flakeflagger_flaky": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "prompt_injection": { |
| "prompt_injection": { |
| "false": 75, |
| "true": 75 |
| } |
| }, |
| "when2call": { |
| "when2call_action": { |
| "cannot_answer": 50, |
| "request_for_info": 50, |
| "tool_call": 50 |
| } |
| } |
| }, |
| "train": { |
| "aegis": { |
| "aegis_category": { |
| "criminal_planning": 35, |
| "harassment": 15, |
| "hate": 14, |
| "pii": 24, |
| "profanity": 14, |
| "self_harm": 15, |
| "sexual": 18, |
| "sexual_minor": 1, |
| "substances": 6, |
| "violence": 5, |
| "weapons": 6 |
| }, |
| "aegis_unsafe": { |
| "false": 750, |
| "true": 750 |
| } |
| }, |
| "codereviewer": { |
| "codereviewer_needs_comment": { |
| "false": 750, |
| "true": 750 |
| } |
| }, |
| "commitpackft": { |
| "commitpackft_message": { |
| "false": 750, |
| "true": 750 |
| }, |
| "commitpackft_type": { |
| "change": 215, |
| "docs": 215, |
| "feature": 214, |
| "fix": 214, |
| "remove": 214, |
| "revert": 214, |
| "test": 214 |
| } |
| }, |
| "flakeflagger": { |
| "flakeflagger_flaky": { |
| "false": 410, |
| "true": 410 |
| } |
| } |
| } |
| }, |
| "state_tokens": { |
| "test": { |
| "aegis": { |
| "min": 2, |
| "median": 17, |
| "p95": 362, |
| "max": 989, |
| "over_384": 8 |
| }, |
| "codereviewer": { |
| "min": 84, |
| "median": 232, |
| "p95": 497, |
| "max": 629, |
| "over_384": 22 |
| }, |
| "commitpackft": { |
| "min": 52, |
| "median": 150, |
| "p95": 561, |
| "max": 835, |
| "over_384": 20 |
| }, |
| "flakeflagger": { |
| "min": 39, |
| "median": 103, |
| "p95": 398, |
| "max": 1122, |
| "over_384": 10 |
| }, |
| "prompt_injection": { |
| "min": 4, |
| "median": 14, |
| "p95": 53, |
| "max": 128, |
| "over_384": 0 |
| }, |
| "when2call": { |
| "min": 12, |
| "median": 623, |
| "p95": 1701, |
| "max": 2521, |
| "over_384": 102 |
| } |
| }, |
| "development": { |
| "aegis": { |
| "min": 4, |
| "median": 16, |
| "p95": 402, |
| "max": 2181, |
| "over_384": 9 |
| }, |
| "codereviewer": { |
| "min": 77, |
| "median": 248, |
| "p95": 507, |
| "max": 674, |
| "over_384": 19 |
| }, |
| "commitpackft": { |
| "min": 48, |
| "median": 157, |
| "p95": 586, |
| "max": 939, |
| "over_384": 14 |
| }, |
| "flakeflagger": { |
| "min": 32, |
| "median": 213, |
| "p95": 730, |
| "max": 2313, |
| "over_384": 30 |
| }, |
| "prompt_injection": { |
| "min": 3, |
| "median": 13, |
| "p95": 62, |
| "max": 162, |
| "over_384": 0 |
| }, |
| "when2call": { |
| "min": 13, |
| "median": 467, |
| "p95": 1586, |
| "max": 2266, |
| "over_384": 85 |
| } |
| }, |
| "train": { |
| "aegis": { |
| "min": 2, |
| "median": 18, |
| "p95": 451, |
| "max": 3285, |
| "over_384": 93 |
| }, |
| "codereviewer": { |
| "min": 31, |
| "median": 234, |
| "p95": 503, |
| "max": 986, |
| "over_384": 200 |
| }, |
| "commitpackft": { |
| "min": 36, |
| "median": 155, |
| "p95": 542, |
| "max": 947, |
| "over_384": 190 |
| }, |
| "flakeflagger": { |
| "min": 25, |
| "median": 147, |
| "p95": 667, |
| "max": 2888, |
| "over_384": 125 |
| } |
| } |
| }, |
| "tokenizer": { |
| "model": "Qwen/Qwen3.5-4B-Base", |
| "revision": "1001bb4d826a52d1f399e183466143f4da7b741b" |
| }, |
| "base_revisions": { |
| "Qwen/Qwen3.5-4B-Base": "1001bb4d826a52d1f399e183466143f4da7b741b" |
| }, |
| "context": { |
| "max_state": 7552, |
| "max_branch": 8192, |
| "max_packed": 9216, |
| "truncate": false, |
| "default_training_context": { |
| "max_state": 384, |
| "max_branch": 1024, |
| "max_packed": 2048, |
| "truncate": false |
| }, |
| "note": "every record fits kev.model.training_context(MAX_TRAIN_STATE) under the tokenizer above; records whose state exceeds the default 384 tokens (state_tokens.*.over_<MAX_STATE>) need kev.train --max_state" |
| }, |
| "selection": "development/test 150 records per source, train up to 1500 per trainable source; groups (repository, project, BFCL item, prompt) dealt to splits in a seeded hash order and never span splits; normalised-text state dedupe across all sources and splits (test, then development, then train); noul labels exactly balanced in pairs (within project for codereviewer / flakeflagger); choices drawn round-robin over labels; aegis keeps its native train/validation/test split; balance is a sampling choice, not the natural rate (flaky tests are 3.6% of FlakeFlagger)", |
| "label_protocol": "no LLM labels: human (codereviewer, aegis), heuristic (commitpackft verb class, flakeflagger reruns), by construction (commitpackft message match, when2call), source label (prompt_injection)", |
| "build_report": { |
| "codereviewer": { |
| "rows": 62504, |
| "licence_dropped": 18917, |
| "patch_size_dropped": 4, |
| "candidates": 43583, |
| "duplicate_state_within_source": 8466 |
| }, |
| "commitpackft": { |
| "rows": 291782, |
| "verb_unmapped": 48585, |
| "licence_dropped": 23855, |
| "diff_size_dropped": 279, |
| "candidates": 219063, |
| "by_type": { |
| "change": 57242, |
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| 116, |
| 71 |
| ], |
| "activiti-activiti": [ |
| 32, |
| 2012 |
| ], |
| "apache-ambari": [ |
| 52, |
| 272 |
| ], |
| "apache-commons-exec": [ |
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| 54 |
| ], |
| "apache-hbase": [ |
| 145, |
| 286 |
| ], |
| "apache-httpcore": [ |
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| 690 |
| ], |
| "apache-incubator-dubbo": [ |
| 19, |
| 2157 |
| ], |
| "doanduyhai-Achilles": [ |
| 4, |
| 1313 |
| ], |
| "elasticjob-elastic-job-lite": [ |
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| 555 |
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| 109 |
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| 420 |
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| 6260 |
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| 145 |
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| 306 |
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| 79 |
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| 160, |
| 1955 |
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| 100, |
| 710 |
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| 122 |
| ], |
| "undertow-io-undertow": [ |
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| 176 |
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| 1120 |
| ], |
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| 343 |
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| "development": 10, |
| "train": 113 |
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| "licences_file": { |
| "path": "scripts/devtools_v1_licences.json", |
| "sha256": "75b45f29fe572f8cac0bcc97901b0a516797b9c4e32a281d867130b103abe3d9" |
| }, |
| "large_partitions": "partitions with in_git false are gitignored; upload them to the Hub mirror (kev.suite.SUITES_DATASET) and bump SUITES_REVISION before load_split can fetch them elsewhere", |
| "code_sha256": "ac336c1be8bb903f26760255743f30fe203cc535e48480029fe0680404c90b0d" |
| } |
|
|
