Datasets:

williamTLmiller
/

swe-bench-coding-agent-tasks

record_id,source_id,source_record_type,source_url,raw_hash,rights_status,allowed_use,confidence,quality_flags,review_reason,split,split_manifest_id,member_id,member_kind,partition,identity_group_ids,contamination_group_id
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,6c0e38310fef3691fc15c65e8ecf13c0cb68dd0304ec827d21cb09010070a433,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,67ed9c8e06b34cca,agent_task,train,635cda3a868482db|919120f5c8694cd8|87b7e46e4487b328,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,964fe3fb714d531d8b082132046045d089d8d3b9d23b5fe2ecab92f5cf7d79c8,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,e592f68b02cc299a,agent_task,train,922271c276f98afe|919120f5c8694cd8|9fe5f7a987bcda2b,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,f729a8f2d0dc267abe21a721a72a4d1098672ea1d8b44fba6772473bc399bfc7,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,6454881c9a39edf4,agent_task,train,c4bcd36dc5e43c41|919120f5c8694cd8|97586462531c2f19,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,9aaf99a7f2b2fd970dd58738dacd13d701e829007aa0306f14a589c371e56ef4,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,6029abcc288ee570,agent_task,train,55823dbaee16e386|919120f5c8694cd8|521b6a129f25d536,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,fa9f52e7e76ae7962106978f9a2e68fbfecef6757bf64979c617cb52153162f0,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,89644d1a638fcc7e,agent_task,train,f7ef902908a15c5b|919120f5c8694cd8|8199b8a86cee3470,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,b25a3d1810f2e5d6a4697c6659ad6c5cf3caef88efba91b630a5fdb5f4299558,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,9746c4e43f6ad16c,agent_task,train,95cbd77738778e7e|919120f5c8694cd8|01e9f1e723dfedd3,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,ac233052ecb6b980cd6ce3b5210969710d2e7951888fc7d32346d7012f160526,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,2ebe100266d69c1f,agent_task,train,4913c25a6e7b85a3|919120f5c8694cd8|01736ce9ccfc99d1,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,ee7dfd00a4745bff2f79caa21d849ec39ac2a18e00aae354502553346c44c465,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,b4c734bcc8b6a963,agent_task,train,ec4e491e22976260|919120f5c8694cd8|d999b55026e35a06,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,727622999e1b8f4c339aee5d8488092c7bb3d9eb9279bdb47b8131483e60ebef,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,be9f2c095b2fa503,agent_task,train,d96cf0803536a940|919120f5c8694cd8|19871fab5c049df8,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,8fb3dfa74fa8ca86fa8b63f82cdae0a969a711b5fddd79c97ebe9d80e0ea643a,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,d87c0c5ccfe14f54,agent_task,train,3d7a0cfcfda57d71|919120f5c8694cd8|69c106b051013d05,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,630cb8e9dd592148ff6604b0ebc7bf7d97bd2519980bf63c9bb40ef79831eed5,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,6df409af985c498d,agent_task,train,e2d11157e0927788|919120f5c8694cd8|c0937ba6823a9547,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,2836bb0c79c4adb7f6959bb52baf2175c851674a8bb4f05d3fd6d0f00d647780,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,69eec4ce75239023,agent_task,train,4f8a55b8d50f0447|919120f5c8694cd8|0e046aed18f2a768,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,7ecca275cce2345234077d81010f91759a9a1e6179b40f168a237ce8c5e4af39,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,661b6de355a80972,agent_task,train,d9117c26c15de033|919120f5c8694cd8|9c5c67873512a7ca,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,44eb0be476b11682d8a073f4def54d46a74d300a13b15fc634291861a8328889,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,0f739147ca454207,agent_task,train,d275ea71e5d0771c|919120f5c8694cd8|2c3fa677bef8c93b,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,c7ee97f21aa8d3651f8c342932f6c8be297b1ff8caf982b6dd95cf41903a9c23,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,cad9ea8ad24ea125,agent_task,train,585222ef29ca4973|919120f5c8694cd8|aeb684bc58084a60,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,17a36323617e10ff6080caaa32da7ff06d9ae21a41a8152b237794cc7c692285,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,1ca6cbc34a7793e7,agent_task,train,608bd62b0937e492|919120f5c8694cd8|b9fe068031d576ba,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,b1f1b548349a72db0cb17ce630bff974293d56bed623e4a1b015a1fa5b52ac18,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,f1a22071ae3ba159,agent_task,train,e29463256a3540cd|919120f5c8694cd8|3e7d98a6db57423c,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,df00d212c7abf92c1be430cdee5262c0331d2c24c0093c6a171ceb146803d6cf,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,a159894fa3a731cc,agent_task,train,70d0ba0a89a170da|919120f5c8694cd8|85184f36d8cc123b,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,0b230cf4809449794ba11673548ee6012244b4ab92278ddc5f89e3f9b13798f2,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,ebdb41165af31d07,agent_task,train,2aa29b95e3eb592f|919120f5c8694cd8|2111b2460320dbfe,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,e9c4d28a47378e89a847be7dbe500b1a79b61e56a8fa12c892c592cb7b7706a3,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,c9e1f66dfbf47069,agent_task,train,75ef2117b986723e|919120f5c8694cd8|9c0f2714d9b1c717,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,14024ad82865c2ef343176000005141d6c4ca9933f6bb76f6597e032448b4403,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,a5e342536d35771b,agent_task,train,4a22516bdb49b407|919120f5c8694cd8|c1c8df8890e13b9e,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,17374b839aec30d7b5d66e6dc64f65e6c71be8c8e2e768057131f7edc126fe91,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,4ad2bd1445201199,agent_task,train,f6cbd3fe51c3d582|919120f5c8694cd8|30a75bd09552b297,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,bb83b60555d59c005141248be78cc5d579aa127142528ac31c33eabe310cf315,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,e7b66db9dff8d0b9,agent_task,train,e8a72026382c21eb|919120f5c8694cd8|861943fa1136d935,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,5b5e4ad6a03d01a60633d3b379731ae7b47a51efe98e1ac3c396b2f1f72e25c1,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,33f792fe099f98f1,agent_task,train,43b94a65f72ce7e8|919120f5c8694cd8|83bfb54960adfd8a,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,f242135637da74357218498b2887c5c1dbdfc392aed425fc7f69e0de6fd650b9,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,767d522bd2c1530c,agent_task,train,9ff16ad143f74ba3|919120f5c8694cd8|1b0c90d6a6275c6f,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,d93a7eff90fa745869bfa0df74c980e423a3f986759c01455f750b7898f98d2a,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,a31fbc47673aa7b3,agent_task,train,3ee8a36d0929c16b|919120f5c8694cd8|e054a8345cb55c14,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,3bd5036fd13c84dd54554e5b8bb2b76e7fdd3ae312596a5daf9e15fb118d82f4,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,40387934151a7358,agent_task,train,cad770cd2645423c|919120f5c8694cd8|565d4266dc6c454a,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,4011c1ca4a4bd6e5c1ede8ab8d5d8359c9d146b334320d2b1954bbcfcd9344a0,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,4a3216e7484f789a,agent_task,train,c68b39cc5848f42e|919120f5c8694cd8|d262d416e2f6f2b4,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,5b8e915fa0240336c4cb8b64f948a88aec32b4bf17ebb0adb75fc5446600039d,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,5b974a3b5aa39d7d,agent_task,train,6907ebf63864cd5e|919120f5c8694cd8|60ac6c896289f3cf,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,b850b282e082f6d49879953dc28014a7d1ac4b5b56432a673e79b2cfe9c0b2dc,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,8c193bb2afe99c2e,agent_task,train,1ddf529d3a984548|919120f5c8694cd8|1cd09861756239a7,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,51b42caa2cf69097077d8480cca23754b2fa403c0577841b658940e62a2d06e7,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,613de446c60a3f5e,agent_task,train,75631d43c0ccab1c|919120f5c8694cd8|38e3c4091bcb30f7,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,a714450c0f056f5caa217ca49b3ba14622038eea7d755a18d9f806a9914c5e5a,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,7fbffa63b25ea0b5,agent_task,train,c165920ce2cfae90|919120f5c8694cd8|52fd3768c4fe2e93,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,3c01afe9ece404156940d749d54e11c0a6e1f2724c6d4180fa519af72938e1d1,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,f9e435bc41a00bc4,agent_task,train,30af8794a2d45883|919120f5c8694cd8|4538c915410b6ed7,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,cd45bee25b8117d8efa9fc83457f42ec007b2e40b3a50dc6afaca3bd43d6f65c,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,c65395d518743fdc,agent_task,train,e0d8a216c134335a|919120f5c8694cd8|3bf91fe3a0caf074,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,db934a58df1ec2420153239cd29024ec41fdcf068e6545c4afb637da84e98c54,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,bfe05965b8f2afdf,agent_task,train,26a783c3bbd13403|919120f5c8694cd8|f6af51d085f40961,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,5b4546e88b3a009097d0adf49dac80914b3aa6234b23cb6bd9b67b13f496e0c3,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,71dfbbb930282fa0,agent_task,train,18ebbc1abd82711d|919120f5c8694cd8|06f6770200c783a1,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,76846b03feea338ea1c15295732525297617acbf7d5ae90491066c040f0ef959,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,3b22d61688d46ef8,agent_task,train,fb7d1be97f950430|919120f5c8694cd8|727e541ee97936aa,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,3c22d2beb994fefb068b074358c4ac19faf4273ccf316a7ef22171b2fdef6b68,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,b8257493804ce114,agent_task,train,cc1fa777278616ac|919120f5c8694cd8|ada80c3d2b6d17e7,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,8059ae53cb149ade9f0a8376ab876d58af8ba5c465b533c97e42cf337f03e4cb,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,5838b5cb1838c508,agent_task,train,1615182f5883eee8|919120f5c8694cd8|bcb25483f1d63ad8,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,170ef8e93b513af739af59fed5d75e6e72fac33ec90407d8ebd29318382ed1aa,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,e83fc685675aefae,agent_task,train,c946768f5880cac7|919120f5c8694cd8|0dc3a01a8c695fbf,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,ffc2923c723e94b7f367e6a54d5bc838b69cad425a6cd5804c015f0626f7615c,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,67896a3fdfe8ce54,agent_task,train,3343df3968b68759|919120f5c8694cd8|80a52780629dd770,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,54df02b9b160b6b734862308c1cd49fb0ca4620dfc0da55ecc17209e3af466d3,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,71dc1882a9ca7eb1,agent_task,train,22277c16a9d6e278|919120f5c8694cd8|9bf8100513545d8f,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,aa0d71d33182b20908c35deb90d58efa200be48d80cb95da2693a0f763c0fdef,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,77fba7eb18ecd780,agent_task,train,51be28550cb158a4|919120f5c8694cd8|65220d9282f8115d,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,cf0fa760169308dcf5907a67432f9b6bf2f8a8e8f3be2c513b49300078534705,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,ea9012e1cca01b31,agent_task,train,57ed12eadd272be3|919120f5c8694cd8|f8a79fa15abe9ee4,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,32f059672428e04c35fb41f16674dc1f441e8d101fd7408872204c3a2d2add47,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,25af7fce434ce2ac,agent_task,train,806b9d562913e1b0|919120f5c8694cd8|5285a92687bce8d7,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,5af1fdfb5cf397de285d73b44d27956eaac3f61426c4cf0b4ee3230f99a88d4f,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,745ab37e8b05a35e,agent_task,train,baf71f703b0eb40f|919120f5c8694cd8|8b7286057c9c7b05,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,bbc98f1abae67b75096f3f44169b7bac3cfc355abffa5f34ae788aaddba4beec,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,32874e0f7eed2ec9,agent_task,train,be184b7f0fba08d5|919120f5c8694cd8|cd25ec1e100b7b97,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,93c43f4ced74b510aca4fbd50a9372e706b6ad5f87300f87725af3f746a01a9f,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,9d75bc4673a84bb4,agent_task,train,8962b9be22eeb832|919120f5c8694cd8|c190767743e1a1a1,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,0a7eb5c51c67b29da23d73a2154c48247e4fd2488e3fa05ea917a61e6e209147,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,364105b9f13aadb3,agent_task,train,6ce7a5cea6e3a584|919120f5c8694cd8|f49e0be578e147e1,0e2c24cc76088338
b088c403c99a0ba7,matrixnorm_derived,dataset_label,,eaab52c223beecfef45c5ccc7610d87441257bbee2d022b948c00c0c4a2f0e7f,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,3ebee8bf5b341494,agent_task,train,6f38b110e2b4c159|919120f5c8694cd8|49a2fe06d7ce41ab,0e2c24cc76088338
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b088c403c99a0ba7,matrixnorm_derived,dataset_label,,59c5095382f136d1952038af62464f1cd8ca4f7f49114aa4d453bf751b6780a5,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,b269d17a5f6dc921,agent_task,train,130a040ba8db9a49|e75bec21a34bb794|3f2af46b44d2c0a2,25e6786c02da97d7
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b088c403c99a0ba7,matrixnorm_derived,dataset_label,,28939fab28d1195bfd475552a1a5b7dd37d3069123f9cd3ae8679ebcd58e337e,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,20e025e0e8178f42,agent_task,train,746725a39adec372|e75bec21a34bb794|f42eab2050ec9417,25e6786c02da97d7
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b088c403c99a0ba7,matrixnorm_derived,dataset_label,,84e190ebe07ff1122e6ae2d0df505d3fbd64e15ed891ac7ed560d83efb28ab3c,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,ce3ce00e35173afd,agent_task,train,b0c9d0a21d1bab6b|e75bec21a34bb794|32730f139a30af31,25e6786c02da97d7
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b088c403c99a0ba7,matrixnorm_derived,dataset_label,,708b7c447e2035862e396b641c575c590f0752ab8adf47154b15012d6b86a8f0,open_license_reviewed,internal_analysis|metadata_training|benchmark_eval|redistribution_allowed,1.0,,,heldout,split:task_identity:v1,7e8f611c7096d499,agent_task,train,9cd9de87ef15e6d8|e75bec21a34bb794|fe94184ec7e1df2c,25e6786c02da97d7
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