File size: 23,983 Bytes
71d6ab5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 | {
"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,
"docs": 2657,
"feature": 82243,
"fix": 39254,
"remove": 17640,
"revert": 3757,
"test": 16270
},
"duplicate_state_within_source": 4854
},
"aegis": {
"rows": 28216,
"redacted_dropped": 992,
"aart_dropped": 3224,
"label_conflict_dropped": 212,
"candidates": 22381,
"with_category": 2021,
"duplicate_state_within_source": 0
},
"when2call": {
"rows": 3652,
"candidates": 3652,
"by_label": {
"cannot_answer": 1295,
"request_for_info": 1062,
"tool_call": 1295
},
"duplicate_state_within_source": 23
},
"flakeflagger": {
"files": 21802,
"label_mismatch_dropped": 1,
"licence_dropped": 1884,
"candidates": 19917,
"flaky": 762,
"tarball_sha256": "67da177462a3026655a9ed8ef4e7c87a86d538c599ed484080db3b355f6d76b1",
"by_project": {
"Alluxio-alluxio": [
116,
71
],
"activiti-activiti": [
32,
2012
],
"apache-ambari": [
52,
272
],
"apache-commons-exec": [
0,
54
],
"apache-hbase": [
145,
286
],
"apache-httpcore": [
22,
690
],
"apache-incubator-dubbo": [
19,
2157
],
"doanduyhai-Achilles": [
4,
1313
],
"elasticjob-elastic-job-lite": [
3,
555
],
"hector-client-hector": [
33,
109
],
"jknack-handlebars": [
1,
420
],
"joel-costigliola-assertj-core": [
1,
6260
],
"kevinsawicki-http-request": [
18,
145
],
"ninjaframework-ninja": [
1,
306
],
"orbit-orbit": [
7,
79
],
"spring-projects-spring-boot": [
160,
1955
],
"square-okhttp": [
100,
710
],
"tootallnate-java-websocket": [
23,
122
],
"undertow-io-undertow": [
7,
176
],
"wro4j-wro4j": [
16,
1120
],
"zxing-zxing": [
2,
343
]
},
"duplicate_state_within_source": 3108
},
"prompt_injection": {
"duplicate_dropped": 1,
"rows": 1662,
"candidates": 1661,
"by_origin_label": {
"deepset/False": 399,
"deepset/True": 263,
"gandalf/True": 999
},
"duplicate_state_within_source": 0
},
"rejected": {
"aegis/line_separator_rejected": 1
},
"pools": {
"codereviewer": {
"test": 3563,
"development": 3539,
"train": 28015
},
"commitpackft": {
"test": 21421,
"development": 21424,
"train": 171364
},
"aegis": {
"test": 1714,
"development": 1028,
"train": 19639
},
"when2call": {
"test": 1814,
"development": 1815,
"train": 0
},
"flakeflagger": {
"test": 1954,
"development": 620,
"train": 14235
},
"prompt_injection": {
"test": 831,
"development": 830,
"train": 0
}
},
"groups": {
"codereviewer": {
"test": 17,
"development": 10,
"train": 113
},
"commitpackft": {
"test": 8063,
"development": 7988,
"train": 64340
},
"aegis": {
"test": 1714,
"development": 1028,
"train": 19639
},
"when2call": {
"test": 641,
"development": 654,
"train": 0
},
"flakeflagger": {
"test": 4,
"development": 3,
"train": 14
},
"prompt_injection": {
"test": 831,
"development": 830,
"train": 0
}
}
},
"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"
}
|