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fd8b771db1d095bf | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/89be094e29f70dce2ed9291edf59bb56828cc5bd | 92f536b6fdbe9c80de91c72c5efcae5f989045cd7aa5169b51606e90ec21ac38 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 087ba108efe84e22 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 140c962b54d9f30d | 4a8e5569111ea21f | 1f29a0f25e82a7d7 | medium | python utils/check_repo.py fails | setup.py|src/transformers/dependency_versions_table.py | fail_to_pass_tests | failed | passed | 1691c399f3bae09b | 919120f5c8694cd8 | 0a4479b3e83da7ab | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
fe7c9fb117516c73 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b9720dd6f296ae222961a26cf43477cfc8d24d80 | 002f9caac4d95a5a7cc9cf2d0b124ba9848aeac35dccd6eb7577bfcb10525943 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 66cc5fe6955218dc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 8bad4b3c3e902f64 | 860550abaaa15904 | d78e46e9dc88d5e7 | medium | Tokenizer Batch decoding of predictions obtained from model.generate in t5 | src/transformers/tokenization_utils.py|src/transformers/tokenization_utils_base.py|src/transformers/tokenization_utils_fast.py | fail_to_pass_tests | failed | passed | 8af94a1417be0412 | 919120f5c8694cd8 | 44b47e62960eab32 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
e5099880a516cd60 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b9720dd6f296ae222961a26cf43477cfc8d24d80 | 072a17d3c1da4e2e6a73afbdc312bbe08c60dfee4fb1f98e8eb67a66a3423f35 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6c98a270a5120c7d | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | c7841202653ee3f0 | ce5d13fd15a4acc5 | d78e46e9dc88d5e7 | medium | Do not allow fine tuning with sequence size larger than during training | examples/language-modeling/run_mlm.py|examples/language-modeling/run_plm.py|examples/multiple-choice/run_swag.py|examples/question-answering/run_qa.py|examples/question-answering/run_qa_beam_search.py|examples/text-classification/run_glue.py | fail_to_pass_tests | failed | passed | 557c1618e347eea4 | 919120f5c8694cd8 | 93b710f1580e8774 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
82f429577c803fe9 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3b7e612a5e7dd02f39fc4ab1e96c02a0ee4d6825 | 17a3a05bdfadfbd93944d7d33418b634c25d88512d5a402ccc7101f4c18224bd | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f905c6baa7556f99 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | c0d2ac680d86fa46 | 133941fe7c2f00a5 | 422b8dec3350f9ea | medium | BertGenerationTokenizer provides an unexpected value for BertGenerationModel | src/transformers/models/bert_generation/tokenization_bert_generation.py | fail_to_pass_tests | failed | passed | 2cd9edb1bb60e6c4 | 919120f5c8694cd8 | 1d84121658e4410f | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
c0f9622ebaf881e4 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3b7e612a5e7dd02f39fc4ab1e96c02a0ee4d6825 | c6b410501f968ae33f99287c7253a1fbe204a06488fb44a39872e601c2aa0df1 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 376192c3f5420597 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | c96334063beae730 | f395665c90340c62 | 422b8dec3350f9ea | medium | Some unintended things happen in Seq2SeqTrainer example | src/transformers/integrations.py | fail_to_pass_tests | failed | passed | 9de3fb8552f4c5e3 | 919120f5c8694cd8 | 09837dede795dce8 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ed718a7bebd701fa | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/263fac71a2b9fb8ba85cbf0e1dcf69d049ff228e | 83f97052363e9872fb81882484524f8c1e9d976ecff858b1058ddb824c2ce84b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 3588da3178e88a56 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | dde759b4b972f5e8 | cfdaf5b586243e18 | cac9ac2445ff77cf | medium | generation length always equal to 20 when using run_seq2seq.py script | examples/seq2seq/run_seq2seq.py | fail_to_pass_tests | failed | passed | 88d2944e3e9baddc | 919120f5c8694cd8 | 8e89ac31a8b5f74c | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
c9ee1b1638f1e286 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/bf1a06a437e24def6226d96b91cc0bce225d9ce3 | 5c4fba8e4bc677d7b29802d7a6f8642a7c910c4f99985a3b84ecab11b23de6e6 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 67ed9c8e06b34cca | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 935e8fa2e7ac1160 | c8a6ee2b124f9ecf | 8f22bf3dead94f2d | medium | Language modelling head has zero weights in pretrained TFMobileBertForMaskedLM | src/transformers/models/mobilebert/modeling_tf_mobilebert.py | fail_to_pass_tests | failed | passed | 635cda3a868482db | 919120f5c8694cd8 | 87b7e46e4487b328 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ee4098b7d27e3eb9 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ddea8771c655182216c9c37ed6602213b07ca133 | e019bba0d2e37579d8aa6947d76f6c6f1e6a94a06dd7e8bae08c7ec6d255c011 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | e592f68b02cc299a | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | caab5103d71ceb8b | 714c3fdb5bac781c | a290f82d2f0a2403 | medium | 🌟 BigBird | src/transformers/__init__.py|src/transformers/models/__init__.py|src/transformers/models/auto/configuration_auto.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/auto/tokenization_auto.py|src/transformers/models/big_bird/__init__.py|src/transformers/models/big_bird/configuration_big_bird.py|src/... | fail_to_pass_tests | failed | passed | 922271c276f98afe | 919120f5c8694cd8 | 9fe5f7a987bcda2b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
65385afc630f0dca | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/8fae93ca1972c39d19c8cf3d3c6a3dd2530cc59a | 9f8acd90089fae009766f698da04039d1102037d7e18a68f2f271cf7e7e9ab5c | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 1143499115d1643d | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | fb36d2f6471958ac | db3a24b4fd6ff948 | 22f363c9aca5b081 | medium | NER pipeline doesn't work for a list of sequences | src/transformers/pipelines/token_classification.py | fail_to_pass_tests | failed | passed | 3cfda3499bf2c55c | 919120f5c8694cd8 | 317f665ceb8dc94a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
80a568c2c3b88fd3 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/df1b0fb54db73d2236afb75b83d91c89f674721d | c5adde291c6ca13587b15b38c5a9f4b4d93da9e69b2518503a5ff460cd341039 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f92b7cf93e1f2d31 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 028cfaa7304f2724 | 0d3562c9b6155675 | cd8f21564973f877 | medium | RuntimeError: Overflow when unpacking long | src/transformers/trainer.py|src/transformers/trainer_callback.py | fail_to_pass_tests | failed | passed | 82e19b39cb96781b | 919120f5c8694cd8 | 14d31e5c4c900966 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d04c6eeb4ce1c520 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/7169d1ea7b571bf303caf5c3c35e584f47cb398c | 773f88c02a37f7e4e9a87a008d91e0d9562adba067a0dc641b8c18cb8816510c | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 1226003263608727 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 6b23541fb64d896e | 9f260b74076e32c3 | 5a068ce8e2b7c713 | medium | StopIteration Error when running beam search for squad 2.0 | src/transformers/modeling_utils.py | fail_to_pass_tests | failed | passed | f146962f9cbfe0d7 | 919120f5c8694cd8 | 6f8196739f52f170 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b64e92079e701548 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/2acae50a0c32b52f5d0b83cd06c75b98a0d44233 | d227cc0f6a33c7103d33a967d57c92f7f46e434f39ffda29d51d677e52cd6339 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6454881c9a39edf4 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 6b936ca4ee470f70 | 9be4490a71e5ba93 | fdfb19d921189041 | medium | New training arg: warmup_ratio | src/transformers/trainer.py|src/transformers/trainer_tf.py|src/transformers/training_args.py|src/transformers/training_args_tf.py | fail_to_pass_tests | failed | passed | c4bcd36dc5e43c41 | 919120f5c8694cd8 | 97586462531c2f19 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
8da32b378f70ea15 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/fd01104435914dd65c34026dcec8be008c40ee60 | 6768f2112b7dedfd423a712b618d9d0c62f5901343189eed90eebc287887b695 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | e3352719e65077fb | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | c3839fadd4f259c0 | 062e085d8494c217 | afdc8f257e7abe57 | medium | Add m2m 100 multilingual translation model from FAIR | src/transformers/__init__.py|src/transformers/models/__init__.py|src/transformers/models/auto/configuration_auto.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/m2m_100/__init__.py|src/transformers/models/m2m_100/configuration_m2m_100.py|src/transformers/models/m2m_100/convert_m2m100_original_c... | fail_to_pass_tests | failed | passed | 0f5752d3a91746e5 | 919120f5c8694cd8 | 651d54a826d122b8 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
5fc7a9734105d9db | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3e116ed33145e80110d0c9b13c9de5207ca19d30 | 4626cd088b25fe046fedfae009bafd030b77fd931827af7cd25a5b15f057fb30 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 9ac27fe24bf82591 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | dcd5ae073d7ce9d0 | 4930d2a5deec096d | 5cc0620960fba7e6 | medium | logging_epochs argument for TrainingArguments | src/transformers/trainer_callback.py|src/transformers/trainer_utils.py|src/transformers/training_args.py|src/transformers/training_args_tf.py | fail_to_pass_tests | failed | passed | 9374074ed04a303a | 919120f5c8694cd8 | a43ca5fca2cad2d0 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
31af9f837359648e | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/9a7e63729f3ff6ddf065fd0d443421e46b1a2ffb | 6cdd36daef729191357593e0f0b2ed9e0aace35e16baa738e41ec400a0456d4e | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | fed53a31e1b2c5cd | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | bb0f65f698ee74bd | afc422b9b70d85ac | 66c0ab28149afd11 | medium | convert_tokens_to_string documentation bug | src/transformers/tokenization_utils_base.py | fail_to_pass_tests | failed | passed | 684749a979de73b1 | 919120f5c8694cd8 | 701b868efe8213cf | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
1a27d627e1292e25 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/eab0afc19ceaf9a31190777f5548312d2346cd44 | 56a8c192aba38272dc423d038bd34484c1db0073d479148b8487758767a3eaf0 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6cc1fddd0a1c1711 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 7c362367242ebd86 | 92986655395e9be9 | 93fa13f397ffdba6 | medium | Trainer.train argument resume_from_last_checkpoint | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | d52c50b5e68a29ea | 919120f5c8694cd8 | c1b2f49201be7110 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
36226b76dbf4e988 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/622a8c5995ba847c41cfe54fba233ea167f8d7ce | d90a11b294524e7ab183b6f9993e5419b48aad34544ddbd3a40750be32deb37b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a3d0a7bd406f93be | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 2f6fdc804fc63cda | 260529f3de4ea386 | e67df2b7f167bd14 | medium | [Example] Using label_smoothing_factor raise error when evaluating model | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 52b1a7998332d7d5 | 919120f5c8694cd8 | 6ec3a292503ad44b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b75973bb1f57c9c4 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b013842244df7be96b8cc841491bd1e35e475e36 | b5b776570586ae6363d54db94e747a5b4f4ce01380be65499e4e3140d255d255 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6029abcc288ee570 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f0f1da97a7d81381 | 4b7eebe06f965ca5 | dd54363ce5cd35aa | medium | Marian input decoding bug | src/transformers/models/marian/tokenization_marian.py|src/transformers/models/wav2vec2/tokenization_wav2vec2.py|src/transformers/tokenization_utils.py|src/transformers/tokenization_utils_fast.py | fail_to_pass_tests | failed | passed | 55823dbaee16e386 | 919120f5c8694cd8 | 521b6a129f25d536 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
a976e6595546e2e8 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ab05280666c9e1cfbbb23122825f3a41b7ff82c3 | 47348dfa0f939b4f77c147fd31c60399363dc8887f54990057d314eb91691c68 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 540aaefd16866b77 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | d9d9dd84dc0e28ed | 69322067ce336a10 | 3f91214eda169712 | medium | Issue in running run_glue.py in Roberta, XLNet, XLM in latest release | examples/run_glue.py|examples/utils_glue.py | fail_to_pass_tests | failed | passed | e1dc6da803a7f653 | 919120f5c8694cd8 | c1b35798f4f00d6d | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b74cbbb9e969ace1 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f52a15897b46ffa40af5c96d3726f0e18e91879b | 7f81a21106b6390a9ba54757f2af37e12c413c19ce2ee4af6c8e47198342ce01 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 76130fed64f104d5 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | efe31a1243bf690d | 703ba011ddcfd0f6 | 7d7a6ff698fbeffd | medium | [trainer] port metrics logging and saving methods to all example scripts | examples/language-modeling/run_clm.py|examples/language-modeling/run_mlm.py|examples/language-modeling/run_plm.py|examples/multiple-choice/run_swag.py|examples/multiple-choice/run_tf_multiple_choice.py|examples/question-answering/run_qa.py|examples/question-answering/run_qa_beam_search.py|examples/text-classification/r... | fail_to_pass_tests | failed | passed | 6fb8a38de1752f14 | 919120f5c8694cd8 | abb1162f61e26c02 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
8e5402b9ee0522cc | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/0c2325198fd638e5d1f0c7dcbdd8bf7f14c0ff7d | 56ad988204b0cc17b9d161e8c719d2e4624dc4c200e9ef589b5bc0419611444b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | e7dfb87fd68e8b61 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | a9ff5a585c4d2ad5 | f6ce7ee870ce3594 | 1a651c14f945adcd | medium | Bug when combining grouped beam search and constrained prefix decoding | src/transformers/generation_utils.py | fail_to_pass_tests | failed | passed | 0d7e3ced6e38e0e6 | 919120f5c8694cd8 | 8e4cb01677f6767b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
403c3562457502ca | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b013842244df7be96b8cc841491bd1e35e475e36 | b96ab1e57555868b66bc5f5b5bd8d4dc37a0e19c7e02d30d9a1bfc6a96285f7b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 989151b2c30b29df | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 04e1165ff966d6a3 | 818b91d6e6fa614c | dd54363ce5cd35aa | medium | Return cross-attention weights in generation function | src/transformers/generation_utils.py | fail_to_pass_tests | failed | passed | bf658348588f4b8f | 919120f5c8694cd8 | cff6f8af3994d40a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ad5188bc94e32863 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/745ea78dcc907fe47ea752805529719132c53d44 | 924746e65679e159543135981f95c4d0569e2f41c5641a2b166bd5430b5fb194 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | c15650ff518cc8c8 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 30db578c7e0b4898 | 79ca442bd937cc6e | 7bae6ef44fb064ff | medium | GLUE benchmark crashes with MNLI and STSB | examples/text-classification/run_glue.py | fail_to_pass_tests | failed | passed | 2c783c168df34ba9 | 919120f5c8694cd8 | 650c708dab24aafc | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ee55d51fbfb60ae0 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/21e86f99e6b91af2e4df3790ba6c781e85fa0eb5 | 8d93f5f93a98afc68090b0e213c8cdd7510a7c1a93c86a5b75a01d9ecccb3ae9 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | c0f2206f80bc37ea | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | b8bc78e6cb671dc3 | 569b6637c90b1974 | 1edfe3824631413a | medium | Recommended Adafactor settings for T5 cause error | src/transformers/optimization.py | fail_to_pass_tests | failed | passed | e48327ee9c9d1bcc | 919120f5c8694cd8 | d12f841b1d959679 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
84a5bd099949c6cb | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/c503a1c15ec1b11e69a3eaaf06edfa87c05a2849 | 7c1c0e829d238e3545f224572e6e6838eb2797823f3a309bc95f0dc4c5611e62 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 71b74fe3f3023564 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f977a83e3303b67d | a738aab7dd9f3a80 | eaf7848cb39b79d8 | medium | Typo in deberta_v2/__init__.py | src/transformers/models/deberta_v2/__init__.py | fail_to_pass_tests | failed | passed | b0c81b91ae4f579f | 919120f5c8694cd8 | d02b03425e7c5901 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
f2be0b7ab0b6a1fb | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/c589862b783b94a8408b40c6dc9bf4a14b2ee391 | e2fa7a5d43096012a94367fa6a1231f7444488d11b2b24347f1e47df8c0c0d89 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a2cd640333dc09ae | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 057579ad0a414120 | a238c84b447f14f7 | 1250aa6af06e7055 | medium | Logic issue with evaluating cased models in `run_squad.py` | examples/run_glue.py|examples/run_squad.py | fail_to_pass_tests | failed | passed | 122f4f70eac1feb9 | 919120f5c8694cd8 | dbee12316f98e856 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d7618bc3672fb7ab | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b880508440f43f80e35a78ccd2a32f3bde91cb23 | 30c2474f197698cd2ad40955357fe04d7f8c0f227fa0ce7d7f7f72768d7ec214 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 89644d1a638fcc7e | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | a8cc5ee7d6b84514 | 00acab34ffc8a8bd | e70160448223b820 | medium | [Trainer] add --max_train_samples --max_val_samples --max_test_samples | examples/language-modeling/run_clm.py|examples/language-modeling/run_mlm.py|examples/language-modeling/run_plm.py|examples/multiple-choice/run_swag.py|examples/multiple-choice/run_tf_multiple_choice.py|examples/question-answering/run_qa.py|examples/question-answering/run_qa_beam_search.py|examples/seq2seq/run_seq2seq.p... | fail_to_pass_tests | failed | passed | f7ef902908a15c5b | 919120f5c8694cd8 | 8199b8a86cee3470 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
f35f6653a841d85c | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/6b58e1550744589d1c6944afcc9738b19d22b4bc | ff8764ca91ab0dea0ba425eaf8c5cfdc132c357b40011b231296bf1124326214 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 34f821ca91945cdc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | e3eb4fef0ef637a6 | aff18e379ad00ac4 | 133d5c2a6c693e87 | medium | Dead link to optuna.create_study under hyperparamter_search in Trainer | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 58f5abf5ec9c82bf | 919120f5c8694cd8 | 80ccf7802ce9d70f | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
db7b05572505f75f | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/c589862b783b94a8408b40c6dc9bf4a14b2ee391 | ca57955fa006c3e6a71476a238e272527d9b375d5109c0191c884445e5c63385 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f99c292934021284 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 4850b77b85028c3e | 758096718a5bcc09 | 1250aa6af06e7055 | medium | docs: correct number of layers for various xlm models | pytorch_transformers/file_utils.py|pytorch_transformers/modeling_bert.py|pytorch_transformers/modeling_gpt2.py|pytorch_transformers/modeling_openai.py|pytorch_transformers/modeling_roberta.py|pytorch_transformers/modeling_transfo_xl.py|pytorch_transformers/modeling_utils.py|pytorch_transformers/modeling_xlm.py|pytorch_... | fail_to_pass_tests | failed | passed | be32e9f3819a6d3f | 919120f5c8694cd8 | 55882d6a056cb1e2 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d931a715a1e58618 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b6a28e9ac916523165289be57e6214a65247f051 | 62a1353e7dbe91536a5a6a5820806b32c64b5b476d1b7db72d3b38548c4534d6 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 8a33963c3d38e9e9 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 03c5f86dd364673e | 1386f441686eed87 | bf9dcc064b6d634e | medium | [examples] add --max_train_samples --max_val_samples --max_test_samples cl args to all scripts | templates/adding_a_new_example_script/{{cookiecutter.directory_name}}/run_{{cookiecutter.example_shortcut}}.py | fail_to_pass_tests | failed | passed | ca427ab57ff6decb | 919120f5c8694cd8 | 61d0d8c9274ff315 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
a4eda599b891a002 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ea46e3fa9c0fce752bdf6e73c9e0f10a8d04ae37 | c80757673002c60fa8783b7164ec172bce4285efbef92d6b40f703471b95cc6d | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 9746c4e43f6ad16c | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f2c1aa462871e0d4 | 5fe0425dc5954efc | 29ac91cf6aea24f4 | medium | [example scripts] disambiguate language specification API | examples/seq2seq/run_summarization.py|examples/seq2seq/run_translation.py | fail_to_pass_tests | failed | passed | 95cbd77738778e7e | 919120f5c8694cd8 | 01e9f1e723dfedd3 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
e4d47958fd9c238b | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/1aa9c13f70ae75be7fd6985864c7ca33d6f964bd | dc107c06115e6a48ec32d81836f254f90e4609cc238db06d7a713c771cb2393e | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a1d3b83be8505b4f | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 1a422f6671e6a42e | 277771cf73ec9015 | ea3f6889840192c6 | medium | Object of type 'int64' is not JSON serializable in Trainer.save_checkpoint | src/transformers/trainer.py|src/transformers/trainer_utils.py | fail_to_pass_tests | failed | passed | 28b6ac9757e27112 | 919120f5c8694cd8 | e41ee94bb436ee45 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
7ef02b92dd950219 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e8246f78f90b27b58f42c1efac7a83e77cdca1b3 | ccbe9792793b49b1c4c6c193adf1dc1b7076dbd6f76f93349c0a99d4be547a30 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 450c6ade448e19a5 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 0bf7984b287dab57 | b676dc65659f2ada | 1ea72ecb2abcead4 | medium | training LayouttLM 1 epoch in distributed more results in error | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 9635c520dabdeb3c | 919120f5c8694cd8 | 685eb9df024b1ccb | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
a5fb2ae5af0a6889 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/00cad2e5c16e79cd3233e43e84df9c09a5002a67 | 70850e21926916ec19c783c6e558e70ef50e27111386cf1fc847ec9b07766fc7 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 214d40ea55eda5af | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 5d8b81e92cebb9b6 | 53b25bdee9891f2e | d9eca38fbc984999 | medium | hf_argparser doesn't set the required flag on non-defaulted enums | src/transformers/hf_argparser.py | fail_to_pass_tests | failed | passed | b88e9475e9447710 | 919120f5c8694cd8 | 2a7719a5cb9e040c | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
7d3b0d909ece1861 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/0d1f67e651220bffef1441fa7589620e426ba958 | e9f9a6fa3b24266ae6db7ec30b5892eb621cf5d484c7c8d36e4217bd6d10eef4 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | e24204be558000da | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 0320fa37f1f2fc5b | bbeb7906d72b2d7d | 5d29558ee593d84c | medium | Add support for RemBERT | src/transformers/__init__.py|src/transformers/commands/convert.py|src/transformers/convert_slow_tokenizer.py|src/transformers/modeling_tf_utils.py|src/transformers/models/__init__.py|src/transformers/models/auto/configuration_auto.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/auto/modeling_tf... | fail_to_pass_tests | failed | passed | 3962186c0a499d3c | 919120f5c8694cd8 | 9c6834e624d65671 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
6ce2a981017b3efa | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/01068abdb9aae6e5a74f7f34a49581b89b861f91 | 5f416ce96fc7eec7c05cd761efe70b44f92c3e9d96faed074003baddf8c82344 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 3cad58cccf13ccd7 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 3ff3e8dfd8fb0435 | 13555d7a8a2400ad | d46bcbb0069b30bb | medium | Deberta Tokenizer convert_ids_to_tokens() is not giving expected results | src/transformers/models/deberta/tokenization_deberta.py | fail_to_pass_tests | failed | passed | eac24037c256a527 | 919120f5c8694cd8 | c420d8211d890c3c | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
babb22aa57ded7dc | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/d41dd5359b4e8e4c3805427a7785401e62836de4 | 01e67c81194ea7567231bdfdd7d32efa9a4f8f3cd829c4b53f90bc5d16d12905 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | d8f6c9d0a4c805aa | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 1c6814d3a4d19976 | a5456145ab739d6e | ac47ee507010682d | medium | Zero-Shot-Classification: multi_class or multi_label? | examples/research_projects/zero-shot-distillation/distill_classifier.py|src/transformers/pipelines/zero_shot_classification.py | fail_to_pass_tests | failed | passed | 3e6696d62bca17d5 | 919120f5c8694cd8 | ed7591ceaecf4251 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
2ffd432858c2d383 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/393739194e59c01a1f89aa1df49614ea2207dc1e | df9fcd3a4dbf88ebd88da53c5cba92a4799d8073a8c03363d7166f3ae679dfb1 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f532caa432838729 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 17c8b2ff525740e3 | a8f18bf34487b270 | 7c4a954d8b4e9b45 | medium | Improve the speed of adding tokens from added_tokens.json | src/transformers/tokenization_utils.py | fail_to_pass_tests | failed | passed | c75e19f16dc06d00 | 919120f5c8694cd8 | 096008626028b971 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
876a12f1db3e9b3d | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ce9724e1bdf3cd84a3b50f771d35b557629e95fc | 47090d2bc9fd28186af8892c59e5f0d242b9466838604d93f3377fdafa73e1c1 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 48bf384664252bfc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | d904a71b4b9fe40b | 6d12151b3a7e28bc | 7721624612721a50 | medium | [examples] should all examples support the predict stage? | examples/question-answering/run_qa.py|examples/question-answering/run_qa_beam_search.py|examples/question-answering/trainer_qa.py|examples/question-answering/utils_qa.py | fail_to_pass_tests | failed | passed | 792d7aac78cc256c | 919120f5c8694cd8 | 006e73ce1304d4f5 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d05231e8affcd387 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/a8d4d6776dd8a759324d0f57c60e8a738e7977a4 | 8f47f8dcc80c15bd5b271e68666b8b4e5f3c8783974e9e32f83185dd60e1ad70 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 91e2fcb361f0f02b | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 8f8b4878c13d5f48 | 0445d775b23a7ae5 | 1dcc4d7ef3053ebc | medium | run_summarization script breaks with label_smoothing_factor and pad_to_max_length true | examples/seq2seq/run_summarization.py | fail_to_pass_tests | failed | passed | 40357863c10297a7 | 919120f5c8694cd8 | c598de0c71ceb81d | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
9ec125a0b34bd1c8 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e21f89f64c0683f111572b8b9fa38ffff64885f1 | c684ddbe82e69d27d6b331751b296d71c04ba65ee5cfc9bf8bcfb0a81be0d9b8 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | ba11367c640350ac | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 592cd5570d8566c4 | 6349150c5206906b | 94e2b17f3025111d | medium | handle_impossible_answer not working in the question answering pipeline for ROBERTa model | src/transformers/pipelines/question_answering.py | fail_to_pass_tests | failed | passed | 30e159542c61612d | 919120f5c8694cd8 | 03aaa3293121d81d | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
7fde8398983813dd | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3f48b2bc3e5b555a06492f1e7b999ff29bb6058a | 94f0a14759e672fc413c5bf75aad300ca6464610b24b62f7ff288fb8a376f2fc | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 586f5f7696e9a20e | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 451bd185f2a16547 | 554ce392825eb9ba | f50458cb56f4f5d1 | medium | [examples] should all examples support the predict stage? | examples/text-classification/run_xnli.py|templates/adding_a_new_example_script/{{cookiecutter.directory_name}}/run_{{cookiecutter.example_shortcut}}.py | fail_to_pass_tests | failed | passed | 792d7aac78cc256c | 919120f5c8694cd8 | 579f5a905f3ecf10 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ee97a37bf686d024 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/6e31014110ff460995d6ac5835f1db047fdf0926 | 0f222e26e0bdec5647dfe8819d01164ec825174d10c229734cccb93ef9b9a830 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 66ba3d57f14c77a8 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 369c367d73304502 | aa4f8ec7aeccd0a9 | 17cab64d027cda35 | medium | pkg_resources' working_set caching breaks transformers import on google colab | src/transformers/file_utils.py|src/transformers/utils/versions.py | fail_to_pass_tests | failed | passed | 5bc79e1602acee08 | 919120f5c8694cd8 | 14d722262b26897e | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
f9f08bbc066ec841 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f05a8a0c5e1f2f3c3e44f2cc48352347c562cf7c | ed9fa4bbb9fbd89d34f57a93eb28d9f12699e22a902471793fe0325835c129d0 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | dce9ccc62ac606fe | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | c3fd39ca67273895 | d916f803add071d4 | 0d4fe595be823067 | medium | Got ValueError when `output_hidden_states=True` with `eval_accumulation_steps` | src/transformers/trainer_pt_utils.py | fail_to_pass_tests | failed | passed | 4bf3bf1d9bc0bdde | 919120f5c8694cd8 | bca5ac0b2f81cc0d | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
f08c07605cfc5e5c | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/da37eb8e43ee48e7e2e5d90869c4905e19fba3a0 | fe17935512ef2815e2d4f0e8f4da36a28a59a490783c2ad5f5f9bcc6a6328e2c | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 7eacecfb8376bc9a | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 87af06b212518cf6 | cdc554a693ecf757 | cb599dc62b62ad9c | medium | Implement fast tokenizer for Big Bird models | src/transformers/__init__.py|src/transformers/convert_slow_tokenizer.py|src/transformers/models/auto/tokenization_auto.py|src/transformers/models/big_bird/__init__.py|src/transformers/models/big_bird/tokenization_big_bird_fast.py|src/transformers/utils/dummy_tokenizers_objects.py | fail_to_pass_tests | failed | passed | 16952cfaf5b2d720 | 919120f5c8694cd8 | 1b753294406e58d5 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
f794e1c878023033 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/6ab7d1a429436d30cadcbe5a6bc8e1865bfd1ebd | 7c86eb8e8ddb55dcab3e07e9775a9fec21b4ad8a2388838bf5ccda0b44c9ebf9 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6cbcf634c2b722b6 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | d57631b8d5dbbe6c | 288dc0af239526a5 | d7106b45c099933a | medium | GPTNeo: importing model with padded vocab size should truncate wte | src/transformers/models/gpt_neo/modeling_gpt_neo.py | fail_to_pass_tests | failed | passed | 088c654c5ea63d08 | 919120f5c8694cd8 | 033c6bed9543554a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
04c11af83095d341 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/247bed38575a94b1563a52ccfa5b744ff6aae767 | 45b0f45f89bd9af13199d95444ce600b2bee02052dc8743a01be65595db89370 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 0ae5270e55d621dd | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | bf042a627e940030 | be0b017148755af9 | d5ed72a9bbdd2538 | medium | ReformerForQuestionAnswering : int() argument must be a string, a bytes-like object or a number, not 'NoneType' | src/transformers/models/reformer/modeling_reformer.py | fail_to_pass_tests | failed | passed | a1a4594239472e26 | 919120f5c8694cd8 | 48a00cc099535d28 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
45032426d7735d82 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3fd7eee18fa7057fd02c6576479124b178502900 | 42f9d21a1d199be2d1dde0ba0c17302ea7b27b661851b5939bd2d152b1945286 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 2ebe100266d69c1f | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | aa7043f141d66996 | 4b594cc732389dad | 0e79b72ceec864ce | medium | considering `pad_to_multiple_of` for run_mlm.py | examples/language-modeling/run_mlm.py|src/transformers/data/data_collator.py | fail_to_pass_tests | failed | passed | 4913c25a6e7b85a3 | 919120f5c8694cd8 | 01736ce9ccfc99d1 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
8ae818bb145a7807 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e08c01aa1ad63efff83548ea69d5ba3ce4a75acc | 346150ee9f6c663892295349b96fe0a60849bd6248dbbd9f8e01df052793d30e | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 3fa722843e54a408 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 1c39066101622a59 | 591fd5e894a727a0 | 1cf631ebdc1bbb9f | medium | No parameter which is presented in documentation | pytorch_transformers/modeling_gpt2.py | fail_to_pass_tests | failed | passed | 4bdf4de7107d96e4 | 919120f5c8694cd8 | 0d8d40d427bfb36a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
61db0d1b4136d819 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b9b60c1630f63b54b10380ef8bf30ec323985553 | cbb7cc5b29c6b7735c655316488d74ead86aad2c9bbfd9004d1aa2a85ebb1b64 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6beea130d311ac56 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 09de32e7334f4938 | 8f9ed546a4a0870e | 7eab88d52abb8782 | medium | [BUG] padding tokens are also masked in DataCollatorForLanguageModeling | src/transformers/models/albert/tokenization_albert.py|src/transformers/models/albert/tokenization_albert_fast.py|src/transformers/models/barthez/tokenization_barthez.py|src/transformers/models/barthez/tokenization_barthez_fast.py|src/transformers/models/bert/tokenization_bert.py|src/transformers/models/bertweet/tokeniz... | fail_to_pass_tests | failed | passed | 0f889ece58107185 | 919120f5c8694cd8 | 31b1fc568d24ff1f | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
031bdd08101c2b76 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e08c01aa1ad63efff83548ea69d5ba3ce4a75acc | d351d7ab7455cca79fab1d42ac763e4753bfe5a0e2589cb1a84bdd08b54a8b36 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 68bb58e1bcebddc9 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 45d95464b360b4a2 | 8448e5a7d476b80e | 1cf631ebdc1bbb9f | medium | Wrong parameter name in documentation | pytorch_transformers/modeling_gpt2.py | fail_to_pass_tests | failed | passed | 1781d84d1f31ecb8 | 919120f5c8694cd8 | 7543b5a6ffb67194 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d0bc6993eb59c385 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/26212c14e5570aff40b90c11495d97dada4272fb | 7bbc7d5a0d16b21b6822cf8c8cfb7bc166fb272297bbbe83595f95e758082c5e | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | b4c734bcc8b6a963 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f1010659f7093e8c | c257a92512c5da5f | 971a2462539a384a | medium | [Feature Request] Add 3D attention mask for T5Model | src/transformers/models/t5/modeling_t5.py | fail_to_pass_tests | failed | passed | ec4e491e22976260 | 919120f5c8694cd8 | d999b55026e35a06 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b01b49ce3e502c8c | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e08c01aa1ad63efff83548ea69d5ba3ce4a75acc | a5de7a80ab3b11174812fd5be875f4bac191d2897d6019e665eb97271c77a95b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f970c5880664b8f9 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 1eda4bdd73da8280 | 8e181f5f6611f8c9 | 1cf631ebdc1bbb9f | medium | Tons of warnings on use of TransfoXLModel. masked_fill_ input dtype torch.uint8 should be changed to torch.bool | pytorch_transformers/modeling_transfo_xl.py | fail_to_pass_tests | failed | passed | a0c3d132b902589d | 919120f5c8694cd8 | 002963b4bc8cee05 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
cdf95515ab4d0f50 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ef102c48865d70ff354b8ba1488d3fa8bfc116d8 | 82c1ee89004a0b23e65cdf069f6ea7e0aa9d7ddb030a03e664805e79ee04e653 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | be9f2c095b2fa503 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 2df2510e9f0e8873 | e267f4e8a4fa9a7a | 413d724d48194902 | medium | Can not instantiate BertGenerationEncoder or BertGenerationDecoder from bert model | src/transformers/configuration_utils.py | fail_to_pass_tests | failed | passed | d96cf0803536a940 | 919120f5c8694cd8 | 19871fab5c049df8 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
1140fce3f96f1411 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f243a5ec0d7a5a30e8bf76f1750ed0a959d47fa9 | 5ee9fdcc7c1170088c6c4d814af96d9398877c1a6693532cccfb440250761dd9 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 054b65383bb2f592 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | a61c4fbc188bde74 | 42a2111f789e9892 | 3db82ef2c4066fae | medium | Rework examples/ to overwrite cache_dir for datasets too. | examples/language-modeling/run_clm.py|examples/language-modeling/run_mlm.py|examples/language-modeling/run_mlm_flax.py|examples/language-modeling/run_plm.py|examples/multiple-choice/run_swag.py|examples/question-answering/run_qa.py|examples/question-answering/run_qa_beam_search.py|examples/seq2seq/run_summarization.py|... | fail_to_pass_tests | failed | passed | 75a54189d942e857 | 919120f5c8694cd8 | d016fa865f4c80c4 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b5d916ba83d12fc2 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/1d30ec95c7a3656972a394d28a86efdb6ca4cdab | c6f5f865d16d3f65225c94f530bbe04df69abe6eb5b403f0a9fe98178702b49a | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | d87c0c5ccfe14f54 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | a6b85fd621aa3c58 | c439e843a9d2fa77 | 4591332a09012ee8 | medium | Trying to implement "nielsr/luke-large" gives "KeyError: 'luke'" | src/transformers/__init__.py|src/transformers/models/__init__.py|src/transformers/models/auto/configuration_auto.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/auto/tokenization_auto.py|src/transformers/models/luke/__init__.py|src/transformers/models/luke/configuration_luke.py|src/transformers... | fail_to_pass_tests | failed | passed | 3d7a0cfcfda57d71 | 919120f5c8694cd8 | 69c106b051013d05 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
4a7e088184ae62c6 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/075e821d1db5582e94084f2f2eeb8f04479d9328 | 485ecb857468ebe960a3c31773d9de62b7842d7989c7a497dfda11f7dfecf47c | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a19f1e338c96dd33 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | b77343c43182ccba | dae52a4ae917a8a2 | 91bbe463546c34e6 | medium | Bug in numpy_pad_and_concatenate | src/transformers/trainer_pt_utils.py | fail_to_pass_tests | failed | passed | 35247d44bdb5697b | 919120f5c8694cd8 | 82ef76e5c94d7821 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
030e1f501e4f163d | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/d9c62047a8d75e18d2849d345ab3394875a712ef | c0f0f7ff1ba73d59cb5aea36a2f18fba8ffa6eedd8148920f20f4778f091bf6a | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 6df409af985c498d | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f2b85a886978e8a8 | 05e3c06ff580a44a | 8d4bbca276506593 | medium | `resize_token_embeddings` not taken into account in `save_pretrained` for `EncoderDecoderModel` | src/transformers/models/encoder_decoder/modeling_encoder_decoder.py | fail_to_pass_tests | failed | passed | e2d11157e0927788 | 919120f5c8694cd8 | c0937ba6823a9547 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
63ee085bc869961c | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/d14e0af2744e8948ff764217bbdac2f79cedbaf9 | 9fb9ca93a4d548f10dc18d6b51c63791bf2f508ecb7a9854a01960384aec3214 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 69eec4ce75239023 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 90058491bc386d5f | 6134677351190dc7 | e34a6618a2146ed1 | medium | Enable Wav2Vec2 Pretraining | examples/research_projects/wav2vec2/run_pretrain.py|src/transformers/__init__.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/wav2vec2/__init__.py|src/transformers/models/wav2vec2/configuration_wav2vec2.py|src/transformers/models/wav2vec2/convert_wav2vec2_original_pytorch_checkpoint_to_pytorch.... | fail_to_pass_tests | failed | passed | 4f8a55b8d50f0447 | 919120f5c8694cd8 | 0e046aed18f2a768 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b3dc2e2ea3e48a9a | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/95ffbe168690d34e385cdd16c69e9a3f8d877abf | 5c3997713e6842f8174060784320a616224e5e7a664ff37f9f2594802588c365 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 180c067c9992d8d4 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 6d86fe0f809a3126 | 715b61296011622f | 53277e8728ed7b28 | medium | serious bug with trainer.py when restarting the training from a checkpoint | src/transformers/configuration_utils.py|src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 91260c217bb03593 | 919120f5c8694cd8 | afc4731b07f8d9bd | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
e1f438d4fdd5e294 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/52166f672ed337934d90cc525c226d93209e0923 | 3317d986aea68f84c9c45cc025d631c3e0ea80781ccbf64a1e4a2af6f861f13b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | ca5a432f8caf1077 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 92d19c60e453ff9c | df201d3634800ab2 | 2170a49b30f2469f | medium | T5 Gradient Checkpointing | src/transformers/models/t5/configuration_t5.py|src/transformers/models/t5/modeling_t5.py | fail_to_pass_tests | failed | passed | 85fc20f2f36f4ebf | 919120f5c8694cd8 | 47c38e30c89fe8dc | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
7f71c8d3be2a9c21 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/32dbb2d954d646f3307f66c889c6c418a40acf88 | 5a61cd28f30d8ba5044ff58b07932d3e5a9a2cd58be70af9b3369b3c43361c64 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 661b6de355a80972 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 600fe10f07d14aa9 | 5b212a7a5d36196d | ab78cb86b1dc64d6 | medium | max_length in beam_search() and group_beam_search() does not consider beam_scorer.max_length | src/transformers/generation_beam_search.py|src/transformers/generation_utils.py|src/transformers/models/marian/modeling_marian.py|src/transformers/models/rag/modeling_rag.py | fail_to_pass_tests | failed | passed | d9117c26c15de033 | 919120f5c8694cd8 | 9c5c67873512a7ca | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
00e3c8ec429a2632 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ab2cabb9640bfee5cf756daefabf014e41398836 | a1fb13f43417135ffd4dfff0b7517c2e8b7f57b7256fbde277ae951745c47394 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | c7b5baf23c5594eb | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | e403ad6292d16cd5 | e1ec5e3a8fe2a37b | 3c4dff54c8dd0efc | medium | [example scripts] inconsistency around eval vs val | examples/pytorch/language-modeling/run_clm.py|examples/pytorch/language-modeling/run_mlm.py|examples/pytorch/language-modeling/run_plm.py|examples/pytorch/multiple-choice/run_swag.py|examples/pytorch/question-answering/run_qa.py|examples/pytorch/question-answering/run_qa_beam_search.py|examples/pytorch/question-answeri... | fail_to_pass_tests | failed | passed | 0df45740923279d5 | 919120f5c8694cd8 | 1acadeb87c99a9c3 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
230d292184a2afc5 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/0f3ad1507ecb181019ea5c6dc5c7beb43231a202 | fa6948ac84c2ff2cd65b9d512833c42dea109acf21a87ba21ec930fed53b3a8b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 2cc0776801e5914b | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 65b967cb74e40747 | a3570795747f7bd9 | 1a1e7e07850d19e0 | medium | Trainer._remove_unused_columns() returns None | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | c9846139552804b6 | 919120f5c8694cd8 | f2789a0b86f2bab1 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
029d3a5b343130b6 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3ed5e97ba04ce9b24b4a7161ea74572598a4c480 | 71e72b49c6b56362f056e80d32a374b29aaff9ef67729cf2cc77632217e5be48 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 65662bb76ffda07e | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 50386074bdf7b81d | 697234b1d1a40313 | a4301d6f828a37b7 | medium | DeBERTa Fast Tokenizer | src/transformers/__init__.py|src/transformers/convert_slow_tokenizer.py|src/transformers/models/auto/tokenization_auto.py|src/transformers/models/deberta/__init__.py|src/transformers/models/deberta/tokenization_deberta_fast.py|src/transformers/utils/dummy_tokenizers_objects.py | fail_to_pass_tests | failed | passed | ff38a9489acb2598 | 919120f5c8694cd8 | 1639b6bcdb6322b0 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
60c7bbd9bee16d57 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e3ff165aa54c07c0371deb09671e3c7dd5666a99 | f38be058d2d29ab5acb30ded67d608966e1872e3ba0da29fcea6631dda8bf766 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 3204a82e537f1e1a | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 55bae6b88d0ddcb3 | 4024eedcae839644 | 781d3a283964aed1 | medium | metric is uninitialized when csv data is supplied to example/pytorch/text-classification/run_glue_no_trainer.py | examples/pytorch/text-classification/run_glue_no_trainer.py | fail_to_pass_tests | failed | passed | 942c1e22f1a2f217 | 919120f5c8694cd8 | 05ed42595d9f79d3 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
3f5875050eed2f5e | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b24ead87e1be6bce17e4ec5c953b6d028e4b3af7 | b55905b45f0abfb4d3ffe82c96489a1e9e34bae9f214f6dd49747840e3d347bb | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 81cdb13abbad29e8 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 7f0abd27576bfe61 | 8d3a058b68077059 | b63d21de481aa51a | medium | Distributed DataSampler has fixed data order despite random seeds. | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | da5cd14fec1e47cb | 919120f5c8694cd8 | 254484415f2d021e | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
932099884acf99b5 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/04ab2ca639ee6fd1002ce0a498d892245f0c9093 | 395f8585e537978021f3a0f26bb9e6ef4fe1e54abc072146fa7f8c84d0e2613e | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 312c0f0ad7e88cc1 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 652e3159a122ba61 | e7548eae746267e3 | 3bb184634ead636b | medium | Potential bug: Tokens with punctuation are re-tokenized although I've set `is_split_into_words=True` | src/transformers/models/tapas/tokenization_tapas.py|src/transformers/tokenization_utils.py|src/transformers/tokenization_utils_base.py | fail_to_pass_tests | failed | passed | dd186d8b42a3fb6c | 919120f5c8694cd8 | aa6a1fbb3ecf3785 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
91fa57479d31e74f | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/88ac60f7b5f6d4b62245dc21653ea3d5db7d4935 | 0e1714b9470909ef42537e012d4987416657458843a4061a300404c506781fa2 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 9a7c1a027d74d386 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 26ea1b0c4ab1a838 | 09c05e4032228e57 | 073941887b06c574 | medium | possible mistake in documentation | src/transformers/models/bart/modeling_bart.py|src/transformers/models/bart/modeling_tf_bart.py|src/transformers/models/blenderbot/modeling_blenderbot.py|src/transformers/models/blenderbot/modeling_tf_blenderbot.py|src/transformers/models/blenderbot_small/modeling_blenderbot_small.py|src/transformers/models/blenderbot_s... | fail_to_pass_tests | failed | passed | a8e16c7d13cf7cd6 | 919120f5c8694cd8 | 5b2de45c8a79920e | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
2795dd55c39cdbd4 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/2d27900b5d74a84b4c6b95950fd26c9d794b2d57 | 82b441ebde9d02d724f08e8fdc40606328c8465be28e9d5163426a638d06ed93 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 29b7491aa61c173e | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 7e360717d58d3ebe | 5e6c3da06d999a30 | abaa49403e809ca5 | medium | run_mlm.py : Missing key(s) in state_dict & Unexpected key(s) in state_dict | examples/pytorch/language-modeling/run_clm.py|examples/pytorch/language-modeling/run_mlm.py|examples/pytorch/language-modeling/run_plm.py|examples/pytorch/multiple-choice/run_swag.py|examples/pytorch/question-answering/run_qa.py|examples/pytorch/question-answering/run_qa_beam_search.py|examples/pytorch/summarization/ru... | fail_to_pass_tests | failed | passed | bbe0c3f4a7440c20 | 919120f5c8694cd8 | 723cd14bcd393167 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
dc400a11080d1e1d | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/db9dd09cf9d8f5de9a5293ec16e7b3d0c01dcbbb | a976a0fe2e04a50f7ae5a42494e60c684162c1bc74514f71f3547f48bcbed379 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 173809aa43738627 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 6512030a73544e90 | d97ac4d7cb2896ae | 0d791432ad92d929 | medium | BART summarization, tokenizer not working | examples/pytorch/summarization/run_summarization.py|examples/pytorch/translation/run_translation.py | fail_to_pass_tests | failed | passed | 23400edfd3618b7d | 919120f5c8694cd8 | 0e49f2e05e1ab9e5 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
0442166fee68bcd4 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/3b1f5caff26c08dfb74a76de1163f4becde9e828 | c42bf2704b7f4004ffb9b333204f34ec38400808ed1a5e3b275db4c324880784 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | be9b50b6a4edb570 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 7a94f2f27aba1d17 | aeadd99d68dd348d | a92f793093cf8f5a | medium | [Flax] Add FlaxBart model | src/transformers/__init__.py|src/transformers/generation_flax_utils.py|src/transformers/modeling_flax_outputs.py|src/transformers/models/auto/modeling_flax_auto.py|src/transformers/models/bart/__init__.py|src/transformers/models/bart/modeling_flax_bart.py|src/transformers/utils/dummy_flax_objects.py | fail_to_pass_tests | failed | passed | 5ccc14625b3239d8 | 919120f5c8694cd8 | b95555d174f39dad | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
563303aee38e2770 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/4e7bf94e7280d2b725ac4644dbe9808560afa5d8 | 80f9e56f79ae9340a7f8f791515805d7d26c2ba772fe35d96b74c0e528a56dcd | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 0f739147ca454207 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | adcc4bba16910532 | 306762273ecf0c4b | 5af470c53e831f95 | medium | wav2vec2: adding single-char tokens to tokenizer causes tokenization mistakes | src/transformers/models/wav2vec2/tokenization_wav2vec2.py | fail_to_pass_tests | failed | passed | d275ea71e5d0771c | 919120f5c8694cd8 | 2c3fa677bef8c93b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
76cb2d2805fdbb91 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/6a11e4c2adf4e4bbb917f30b22cc0cf942c4f1eb | 25a3ac6c0de187eee367237fd3d8a74d06393ba2acd1508c9f3da45fbb1287e3 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a21db1a2cbc7e9d0 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 21e94638767a0615 | 593ee43edafc7bca | 92c359e784c720b5 | medium | Adding support for `pipeline("automatic-speech-recognition")`. | src/transformers/generation_utils.py | fail_to_pass_tests | failed | passed | 4c1597bf1e48fe0f | 919120f5c8694cd8 | 07c230cb1755b2cf | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d553bf3f51cd5027 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/a721a5eefd69cee08329e1fa434c6300b35cd33a | c8b6000764d6c5e63c7192574de67ba46eaf60782f89f63d2f7d11db9a3d4705 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | cad9ea8ad24ea125 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 53920e61bcfa3a6d | cc8ea09413aa6efc | 1a9e9c1b1381cd63 | medium | NaN Person/Spearman corr. when fine-tuning BERT with example code and commands | examples/pytorch/text-classification/run_glue_no_trainer.py | fail_to_pass_tests | failed | passed | 585222ef29ca4973 | 919120f5c8694cd8 | aeb684bc58084a60 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
dfb53028448c5ab6 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/7c622482e824f9dd6fcb5d46edb3726ba587c466 | dbfa4fef56bd5b2f1f900b7d650cb315cceeef23857daf3717cf5af3b79e8391 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 1ca6cbc34a7793e7 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 05d02a06855fd5d4 | e4204ead313c8277 | f8dbfac99627af70 | medium | [fixup/style] requires TF but doesn't say that cleanly | utils/check_repo.py | fail_to_pass_tests | failed | passed | 608bd62b0937e492 | 919120f5c8694cd8 | b9fe068031d576ba | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
c7ca4e3ba0852421 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/2ce0fb84cc500a26b0c45bec1f8a42e33d13e05d | 0595f8404a6a1a9b6a1c33a732e237b119c4122a54da04bac8be64d7b62f031a | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | c80a8651652749d8 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f7633bc0c833aed9 | b4b4d46fb5bd5f55 | 31b25e55dc12f0dc | medium | Bug in trainer: substantially different results from restarting from a checkpoint and without | src/transformers/trainer.py|src/transformers/trainer_pt_utils.py | fail_to_pass_tests | failed | passed | 20d2ad194c186d25 | 919120f5c8694cd8 | 86ea9865d5c0bef7 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
de58a0232d644640 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/8fa8e19429ef7d127fc3f42ecbe98c103b5c809b | a0f81dd2846f88e754ec9f10a1663b1b8fcdfe7d2c75767e7fdca195429112e4 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | d55685b6c3cdf598 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 884bff51d5292579 | a2bbb72bacbad7eb | 5b015b6815088d72 | medium | AlbertTransformer head_mask not subscriptable error when not passed | src/transformers/models/albert/modeling_albert.py | fail_to_pass_tests | failed | passed | f0e72aa6a94c69c6 | 919120f5c8694cd8 | d71efe49936a8c3a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ef8f5867d0c3e51e | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/619200cc42d1f55fb07b0d6e9c3fff79e30a2e06 | 190f1453665ecb1f0fc9c21ddf2079f163bc6a7f0775780337131a921398de93 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 01296e614c0d1bb1 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 121b815303a30490 | 310d2598e717822d | 44e482015bece0e2 | medium | [fairscale] rng states saving fails in an extended multi-gpu test | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | e6f5b5a582a56116 | 919120f5c8694cd8 | 6f18b7fbfc9ce130 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
431e5eba0c3c4e1b | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/e7bff0aabe0ef02296da1c9e1fcbb3f3040196ce | 3a5fea96b9f559f150e8d9042bdb5f241e5963a391cf7638b0495196698343c6 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 5bb2dc321adc105f | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | bd70d71b7dfdacc7 | 9e0e18f2f8da2e65 | dc860b6aa7e35e43 | medium | LukeForEntitySpanClassification - ValueError: only one element tensors can be converted to Python scalars | src/transformers/models/luke/modeling_luke.py | fail_to_pass_tests | failed | passed | fa5beef760293014 | 919120f5c8694cd8 | 0e62d536cb88692c | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
fd13460f95eb4956 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f7f872955d76f4958369ad79ce19601e7235cb17 | 4ba94e3b5d6a8d11f663f3baef5999976f67b728359642f8482e57b63435b995 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 14d326dbf4acf0e2 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | bb91ffb76b544894 | aa99544fceb3d853 | 6d2512cc6ee7aa38 | medium | torch_xla/csrc/tensor_methods.cpp:880 : Check failed: xla::ShapeUtil::Compatible(shapes.back(), tensor_shape) | src/transformers/models/big_bird/modeling_big_bird.py|src/transformers/models/bigbird_pegasus/modeling_bigbird_pegasus.py | fail_to_pass_tests | failed | passed | baece941ea84814a | 919120f5c8694cd8 | bb45a9548623a553 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
069ac191400c5c7c | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/ef8d32c5eaa63bb724074fd011c05779ae426e93 | 7d13593a0da4a0e7c011713dd15ee8115ca0bfe35b7a6f4ae837c26c176effeb | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | bab2f51e1f9cab56 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | cb3e916633acadc9 | a8776947542a8e75 | 66d78b28544b5871 | medium | Bug in trainer: substantially different results from restarting from a checkpoint and without | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 20d2ad194c186d25 | 919120f5c8694cd8 | 79439eec76067b20 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
45368c4a751906bf | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/9120ae7d66e3f76f375fd7c941c721ca9164f581 | 01f65c39a53343ff65860862943b035fd60b889ed39fc2cf3358f992b2fc768b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 718833534e673ecf | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 036cd09c6d242b38 | 0f51ac68d0714ad7 | 51d5b42492ba4002 | medium | [Doc] Something wrong in description of 'DistilBertForSequenceClassification' in doc | src/transformers/models/distilbert/modeling_distilbert.py | fail_to_pass_tests | failed | passed | 4003a69b9ff0e69a | 919120f5c8694cd8 | b8ac7296c963267b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
1415d362862ebb1f | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/9120ae7d66e3f76f375fd7c941c721ca9164f581 | 2a74d5cfd983292bcb3305c21014da70ce512f92e0de48cf95689b7e7448ecf8 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | e43284822e472bcc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 2afa67b1c21d4c8e | b6d03379630419ff | 51d5b42492ba4002 | medium | tf.function and half precision fails with Roberta models | src/transformers/models/roberta/modeling_tf_roberta.py | fail_to_pass_tests | failed | passed | b2b4d0fea4da7e57 | 919120f5c8694cd8 | 22b2a7b4bb17b045 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
6720a011bef14fbd | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/901153c61e39fc01961dfef3613c4e529c595476 | eb3579e94b0f13ecae7cdd4772a895d0c808e3e252c8d4d80de7ae4e65160924 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | f1a22071ae3ba159 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 3f7303315a0b04a8 | c1eab1be590649e2 | 3fc375b698eb04d7 | medium | NER label re-alignment always expects B labelled first sub-words | src/transformers/pipelines/__init__.py|src/transformers/pipelines/token_classification.py | fail_to_pass_tests | failed | passed | e29463256a3540cd | 919120f5c8694cd8 | 3e7d98a6db57423c | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
ccd160cca3ee5593 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/a135f595368581fb91f13a523be778b902ce0e07 | e5f51c90bed75f4d92bf393430cf2413d58e39ae339b7b6ddac6b2308ececf12 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | a159894fa3a731cc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | b4210714c6e9256d | 66b7220781bcbbd2 | 5ab6daff7a09f0d2 | medium | GPTNeoForCausalLM: resuming Trainer from checkpoint causes Missing key(s) in state_dict: "lm_head.weight" | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 70d0ba0a89a170da | 919120f5c8694cd8 | 85184f36d8cc123b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
67b19072d2b54e7b | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f063c56d942737d2c7aac93895cd8310afd9c7a4 | 1e96445185a4f80eb7390a0d4e821126795eda4dde3e9f6ba422267ba5004c34 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 5f4062058b8d490c | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 13c3173bf7e88466 | 841e5e57b474eb83 | 0fef2b59d9172ed8 | medium | Remove "`optional`, defaults to :obj:`None`" | examples/research_projects/wav2vec2/run_asr.py|src/transformers/debug_utils.py|src/transformers/modeling_tf_utils.py|src/transformers/modeling_utils.py|src/transformers/models/albert/tokenization_albert_fast.py|src/transformers/models/big_bird/tokenization_big_bird_fast.py|src/transformers/models/ibert/quant_modules.py... | fail_to_pass_tests | failed | passed | bfc18e4df38e6f90 | 919120f5c8694cd8 | f1b13c08833c9e73 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
752920f96d060ab0 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/252082001db1ca2af821885afde50fdfec93e200 | 26c30f32f38891f462671bb8844f07bb4b47adef922dfe9e7059ac90057e51e8 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 5234026ef341515d | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 2e2c30c5e5164f98 | e121359f86338233 | 2a0d03a67994ac73 | medium | GPTNeoForCausalLM: resuming Trainer from checkpoint causes Missing key(s) in state_dict: "lm_head.weight" | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | 70d0ba0a89a170da | 919120f5c8694cd8 | b9ed9bf40686315f | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
b935e006e6612189 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/73893fc771396a7645f68d87805b419169e7ee2d | e0314fb0b93f2debb82e70bb31d372d0fd57659638aabb435de359097bb01925 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 41f5b073e20e21ff | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 90ff57175f1ba112 | ce512b89421f6fab | 20ceb6b25b871381 | medium | ValueError: could not broadcast input array from shape (2816,384) into shape (2698,384) | examples/pytorch/question-answering/trainer_qa.py | fail_to_pass_tests | failed | passed | 3800bdee2b8310d1 | 919120f5c8694cd8 | c688a0b4b68d1351 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
d7a6da52438b0a9b | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/206f06f2ddcb8ccfc52d13612a7d41219e41e932 | 1a32794a1c9ecb744fb7a4cb52d14eb477b3f9af4c691098cc24350f13f4d8c3 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 44cc74a99bf3a280 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | e478ee649b6e1b1a | bdaa414a1e457798 | 780b9f1859fce222 | medium | Wrong results for GLUE task STS-B | src/transformers/models/albert/modeling_albert.py|src/transformers/models/bert/modeling_bert.py|src/transformers/models/big_bird/modeling_big_bird.py|src/transformers/models/convbert/modeling_convbert.py|src/transformers/models/distilbert/modeling_distilbert.py|src/transformers/models/electra/modeling_electra.py|src/tr... | fail_to_pass_tests | failed | passed | 0e2a29c50462ad3b | 919120f5c8694cd8 | a9e91dd5a256a3d8 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
bec77e984fe79c67 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/b8697bc62216b9e2ca60811626c6a6ca992b0d34 | 65f0100af5e0335f579f77c1b26587a953a72828032769c1aae9d28d5f9eeeb3 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 3da50e9f56a94c2a | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | fdcc7efdba0c7eef | cc65fa190e3ce3e2 | 96eb14395432d080 | medium | [trainer] multi-node tweaks | examples/pytorch/language-modeling/run_clm.py|examples/pytorch/language-modeling/run_mlm.py|examples/pytorch/language-modeling/run_plm.py|examples/pytorch/multiple-choice/run_swag.py|examples/pytorch/question-answering/run_qa.py|examples/pytorch/question-answering/run_qa_beam_search.py|examples/pytorch/summarization/ru... | fail_to_pass_tests | failed | passed | 5f6a795527ee14b9 | 919120f5c8694cd8 | d9d59c48965377d4 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
283ef7e6e9650d2a | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/da22245ed99d18915cd2a70743f5439ac9d9a8f1 | 7e3e844231d2b744963c6f7d88ac5299a1e7112d75a0f617cdef4f1bd1814f72 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | d04aa084faaa9a36 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 34047c6484d80772 | acea0fb6871a0465 | f15cf1fde99df503 | medium | get_length_grouped_indices() uses slow list concat | src/transformers/trainer_pt_utils.py | fail_to_pass_tests | failed | passed | 0a0fa5855436da52 | 919120f5c8694cd8 | 34397e57e25e1520 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
3c5911e1a6ba5caa | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/f58060415761e24a31506bde929edea36b890dd4 | 22d73ff328782ae235fd9b17e740c0278b95ea52f4c89f7883010083a000565b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 9f66be2c402d146d | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 645c6a53285eb211 | 3a7895e5653247bd | 865240c8b0835b47 | medium | [docs] XLnet reference link bug in description of past_index Parameter of TrainingArguments | src/transformers/training_args.py | fail_to_pass_tests | failed | passed | 6730602556105d2d | 919120f5c8694cd8 | 6a896a0544a7f8a4 | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
824141b05c033127 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/fcdb85e9d2da979d368ed5b8f7350cfe9b6a7d69 | 9fcb07afb94971947cfb33eff6f2f8470104aa5dc1343513bf86654b8e2a4b4d | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 1a1c69f8a73dc0c5 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 72a0a60aec087d1b | e68cd7e1abdceff9 | 77c33b01c817a543 | medium | Regression in training speed since 4.4.0 | src/transformers/training_args.py | fail_to_pass_tests | failed | passed | 9b9456c68e228c2d | 919120f5c8694cd8 | de3d76c58e341baa | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
a8e79e4cc963b666 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/1b6530104d5b0a6c14c7db07252a74c03ac8e163 | ce2b20167d68de3bce205c8872e1358a6d487b219a68f13cd541f60fd6f44773 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 99583f0d01afa046 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | f3ecfa275db2457f | c3956ffc1ec1c1e0 | 9caac86224b64dcf | medium | [AutomaticSpeechRecognitionPipeline] CUDA support | src/transformers/pipelines/automatic_speech_recognition.py | fail_to_pass_tests | failed | passed | 2f8a48df0f3f338e | 919120f5c8694cd8 | 4b5c1970dcc7a3aa | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
fc9f5d7413d4c8b7 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/996a315e76f6c972c854990e6114226a91bc0a90 | 0342fc73329cd52ee776b62b97ac25ac2e410541dd991a295cfb9e1034f663f7 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 478613e35ee72997 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | beda0a12ee30ce68 | b76867a47e7cbc0e | 16fea23bf7eded5e | medium | Deepspeed integration ignores Optuna trial parameters in hyperparameter_search | src/transformers/trainer.py | fail_to_pass_tests | failed | passed | baf4ef346697029e | 919120f5c8694cd8 | 44a31308ee460c7f | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
2b2300aabb7889a6 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/996a315e76f6c972c854990e6114226a91bc0a90 | 97f07a6a8c47255debd23802c988183ccf95a8d3375f335e331ae4676d4cc76b | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | ebdb41165af31d07 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 78978c8b2fae990b | 8d50c628b0c716a6 | 16fea23bf7eded5e | medium | A bug in modeling_tf_marian.py and modeling_tf_pegasus.py SinusoidalPositionalEmbedding _init_weight | src/transformers/models/marian/modeling_tf_marian.py|src/transformers/models/pegasus/modeling_tf_pegasus.py | fail_to_pass_tests | failed | passed | 2aa29b95e3eb592f | 919120f5c8694cd8 | 2111b2460320dbfe | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
3866f25439805bb2 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/80d712fac6ccae308a2f408ebbc0c4d8c482d509 | 6e1ffb1d5e044bb22d73cf64c8a66c3e65ffd65a97aabcd2607811fcb5b2ab67 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | db5e7f7678b2c0cc | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 995be7a5412edf5b | 8b5cd010147f459b | 3078ff5594d13095 | medium | GPT Neo for Sequence Classification | src/transformers/__init__.py|src/transformers/models/auto/modeling_auto.py|src/transformers/models/gpt_neo/__init__.py|src/transformers/models/gpt_neo/modeling_gpt_neo.py|src/transformers/utils/dummy_pt_objects.py | fail_to_pass_tests | failed | passed | b7ff20a4c09bb8de | 919120f5c8694cd8 | 1a5c863cb1e02e8b | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
a1a7effb2a7400e4 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/9a9314f6d9f352351490a95bd55e2d097409b5f6 | eff594dfd7ce82b0a2e412ceb57f0a733a5b02597d7c012502f9dc8933e75f80 | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 50427158afa142c2 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | 91b95f45963c0691 | 8a8369c50126681e | 77feb25642814f82 | medium | [examples] add desc to `dataset.map` to improve tqdm bars | examples/pytorch/text-classification/run_glue.py|examples/pytorch/text-classification/run_glue_no_trainer.py|examples/pytorch/text-classification/run_xnli.py | fail_to_pass_tests | failed | passed | 2bf31468f440c8f5 | 919120f5c8694cd8 | ae7084fc8d09480a | 0e2c24cc76088338 | benchmark_public | needs_review | strong | |||
97d631522cfb67e9 | swebench | benchmark_task | https://github.com/huggingface/transformers/commit/8d171628fe84bdf92ee40b5375d7265278180f14 | 4befc1cb4707458a17888986532840aa2967a4d4902aa26983fa15daa5595bfe | research_only | internal_analysis|benchmark_eval|human_review_required | 0.95 | train | 0f574e228f1f2451 | bug_fix | swebench_train:instance | issue_to_patch | unified_diff | huggingface/transformers | d26f06826e26ceab | fef2a9e4f237c1ae | ae5124cf71ee5c19 | medium | wandb integration gags during hyperparameter search | src/transformers/integrations.py | fail_to_pass_tests | failed | passed | 90ac7fbcadcc5c6a | 919120f5c8694cd8 | c9e01d643a3e55f4 | 0e2c24cc76088338 | benchmark_public | needs_review | strong |
SWEGraph v2 — Free Sample
A free, deterministic ~10% sample of SWEGraph v2: the complete SWE-bench family,
SWE-smith and BigCodeBench normalized into proof chains (repo -> issue -> patch -> diff hunks -> tests -> agent task -> eval task) with identity/contamination groups and a
leakage-audited split. The full package is sold separately (see below).
- License: CC BY-NC 4.0 for the MatrixNorm normalization/packaging layer (see Licensing).
- Format: gzipped CSV in
csv/(all columns as text; list fields pipe-delimited) plus a Parquet mirror inparquet/with identical rows, used byload_datasetand the viewer.
from datasets import load_dataset
tasks = load_dataset("williamTLmiller/matrixnorm-swegraph-v2-sample", "agent_tasks", split="train")
How the sample was drawn
- Unit = repository family (a SWE-smith mirror belongs to its upstream's family).
Keep a family iff the first byte of SHA-1(
"sample:" + family name) is< 26(of 256). Families are kept whole, so contamination groups and partitions are never cut. - Same rule on every table: tables with a
repo_idkeep the sampled families; group, quality, validity, proof, environment and membership rows are kept when they refer to a kept task or record.split_manifestsis included in full. - The
splitcolumn is the full package's partition, unchanged. Because whole families are sampled, a sample may contain no validation or test family. - Built 2026-10-23T22:50:54Z.
Rows per table
| Table | Full package | This sample |
|---|---|---|
agent_tasks |
83,357 | 6,265 |
contamination_groups |
250 | 23 |
diff_hunks |
136,336 | 11,892 |
environments |
642 | 128 |
eval_tasks |
5,213 | 353 |
execution_proofs |
5,213 | 353 |
heldout_eval |
16,822 | 1,663 |
identity_groups |
21,073 | 1,260 |
issues |
82,217 | 6,265 |
pull_requests |
82,217 | 6,265 |
quality |
254,489 | 19,173 |
repos |
345 | 25 |
split_manifests |
28 | 28 |
split_memberships |
88,570 | 6,618 |
symbols |
1,140 | 0 |
task_validity |
5,213 | 353 |
test |
764 | 0 |
tests |
235,416 | 16,393 |
train |
70,602 | 4,955 |
validation |
382 | 0 |
The full dataset
The licensed package holds every table above in full, plus per-entity JSONL streams with the complete nested fields (including each task's full PASS_TO_PASS regression list), provenance, rights and leak-audit files. Perpetual, non-exclusive license for internal research, training and benchmarking; models you train are yours to commercialize; no redistribution of the dataset itself. Contact: energea@energeatech.com
Sources
| Source | Rows used | License of the source release |
|---|---|---|
| SWE-bench (test, dev, train) | 2,294 + 225 + 19,008 | MIT |
| SWE-bench Verified / Lite / Multimodal | 500 / 323 / 612 (subsets and extensions of SWE-bench) | MIT |
| SWE-bench Multilingual | 300 | MIT |
SWE-bench Pro V2 (default; hard recorded as membership) |
642 | MIT tooling; task content under upstream repo licenses |
| SWE-smith | 59,136 | MIT |
| BigCodeBench v0.1.4 | 1,140 | Apache-2.0 |
Task content (issue text, patches, tests) comes from public open-source repositories and
remains under each repository's own license; the exporter only ships verbatim code text where
rights_manifest.csv allows it.
Licensing
- This sample: CC BY-NC 4.0 — attribution, non-commercial — applies to the MatrixNorm normalization and packaging layer.
- Underlying data: the source releases keep their own licenses (copies included as
LICENSE-*-UNDERLYING-*.txt); repository content stays under each repository's license. See NOTICE. - Commercial use of the normalized package requires the paid license.
Limitations
- Task validity gates are
not_rununtil real execution evidence exists. - Issue and PR text is reproduced from public GitHub as published in the source releases.
- Not produced, reviewed or endorsed by the authors of any source dataset.
Citation
SWEGraph v2 (free sample). MatrixNorm normalization by williamTLmiller, derived from SWE-bench, SWE-smith, SWE-bench Pro and BigCodeBench. https://huggingface.co/datasets/williamTLmiller/matrixnorm-swegraph-v2-sample
Contact
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