Datasets:
schema_version stringclasses 1
value | example_id stringlengths 64 64 | role stringclasses 2
values | variant stringclasses 1
value | split stringclasses 1
value | reviewer_id stringlengths 29 29 | target_id stringlengths 29 29 | trajectory_id stringlengths 64 64 | turn_index int64 0 0 | criterion_index int64 | candidate_index int64 | loss_mask_type stringclasses 1
value | messages listlengths 2 2 | metadata_json stringlengths 333 548 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
amazon-c2-direct-distillation-sft-row-v1 | e42fd21abf9d2032b8d04a3fdcdfb713104e75ccd72f197feccb1928baa82fa1 | rubric_writer | non-diverse | train | amzd_1c2d7960801c1df707c94e3f | amzt_d1ec73893ed0cad0a6851193 | d04762419af908d11e7ce2c2caec97415c8768bc98bad2bd1ded5d8d408417c0 | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "You are an expert at characterising how one specific person writes Amazon product reviews.\n\nYou will be shown 8 reviews written by ONE reviewer, each preceded by the corresponding product metadata. Using only these reviews, write a rubric that captures this reviewer's distinc... | {"candidate_count":40,"criterion_count":3,"rubric_sha256":"02a0c6d4c7e0248bad80160285fc7507589235d969733eac0a1ef7b512e1583c","source_example_ids_sha256":"8fcb637f602662619749f1822bae30d7694888d083b2d9b9b8a9bbe84e563b88","source_oracle_turn":3,"source_trajectory_id":"d04762419af908d11e7ce2c2caec97415c8768bc98bad2bd1ded5... |
amazon-c2-direct-distillation-sft-row-v1 | 3bb8b7dbdcae1704392e8d367a6969fe265db95242e92a00b108e9ba7a385da4 | rubric_writer | non-diverse | train | amzd_79dd900167aa815530c45ff4 | amzt_aadfe054bb3acad56bafd1f0 | 595845a8add621ddb4e7804f0f1780442eb4c5037512eeae5c17ac3065c3aef3 | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "You are an expert at characterising how one specific person writes Amazon product reviews.\n\nYou will be shown 8 reviews written by ONE reviewer, each preceded by the corresponding product metadata. Using only these reviews, write a rubric that captures this reviewer's distinc... | {"candidate_count":40,"criterion_count":15,"rubric_sha256":"c113ed5b41e23e40e031be3ae01f05a5e86cfed18c660575564c207d63c8f7a1","source_example_ids_sha256":"37547ec43961da07bb2178daad92dd18b6df93c5ded3fd1926056e366d35661e","source_oracle_turn":16,"source_trajectory_id":"595845a8add621ddb4e7804f0f1780442eb4c5037512eeae5c1... |
amazon-c2-direct-distillation-sft-row-v1 | 3ad83909c84dde9ab518265cc73b996bd1eed8daa905914164ccbfcaa0eefe80 | rubric_writer | non-diverse | train | amzd_69ed14c5f7eb0f5df3629bc8 | amzt_b7343aecdddbac91540fb34f | 19461c15f1b13922ddf393e04556846b80e40adbde7579e7ada06d083ae8692d | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "You are an expert at characterising how one specific person writes Amazon product reviews.\n\nYou will be shown 8 reviews written by ONE reviewer, each preceded by the corresponding product metadata. Using only these reviews, write a rubric that captures this reviewer's distinc... | {"candidate_count":40,"criterion_count":10,"rubric_sha256":"13120644783a07c88e8083168b2090f5e0fefeb6bcc23290dc83e9e642d46381","source_example_ids_sha256":"3c9655dac06c2cd45ebde26a3c80fb9072ee14c132cb65ad3c1ca240c4b26a6d","source_oracle_turn":10,"source_trajectory_id":"19461c15f1b13922ddf393e04556846b80e40adbde7579e7ada... |
amazon-c2-direct-distillation-sft-row-v1 | 44fbc4df629cd7d28dfe1a6ad2737d941ed37551f4524f42ceef727622303088 | rubric_judge | non-diverse | train | amzd_6a3d0cb965d9164b416134ca | amzt_7c537f23aa2d0e1c7d413d82 | d85d214878028ea40f85b8759dda179cf5eeacdbbad436eb5722f5a8e5ce7578 | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "Score EACH candidate Amazon product review independently against the weighted rubric for what this reviewer would likely write about this product. Do not reward general review quality.\n\n<|The Start of Rubric|>\n<rubric>\n### Explicitly recommends the product to other buyers\n... | {"candidate_count":40,"candidate_order":[24,36,31,35,1,37,30,2,9,21,7,13,18,10,39,4,5,3,17,6,25,23,15,27,12,33,20,38,32,26,29,8,14,0,16,11,22,19,34,28],"criterion_count":18,"rubric_sha256":"00c560b0fe697d9923b7adfc338ec567b6766ab6783c93d5db9182f722688309","scores_sha256":"26b10eeb6fd201e9e0a0f105f1df85a829cce91c3ee625a... |
amazon-c2-direct-distillation-sft-row-v1 | 3a49c025bff438c87bd2e5f0bc3e9716850805f26222b3345b92f7000865e885 | rubric_judge | non-diverse | train | amzd_54a7b9418125bdb9df66eba4 | amzt_80ebf59fd4a43d89edff422d | e9501ac2f95dec3203328a40bb0c8c906984e244381fd569c67d5f8388b7c39c | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "Score EACH candidate Amazon product review independently against the weighted rubric for what this reviewer would likely write about this product. Do not reward general review quality.\n\n<|The Start of Rubric|>\n<rubric>\n### Overall positive verdict and recommendation\n**Crit... | {"candidate_count":40,"candidate_order":[38,18,25,14,29,20,9,23,2,4,28,37,5,24,19,26,30,32,12,3,11,15,36,13,1,33,22,0,31,34,6,16,17,39,21,8,27,35,10,7],"criterion_count":16,"rubric_sha256":"648a91b683fc749e3a278f1b9154ead87499dda5933f8a6d70893809898fe909","scores_sha256":"7cd836e94599ffeff8557a1e140d3593058d4aca9116b50... |
amazon-c2-direct-distillation-sft-row-v1 | b965ba22dfe36da46bdf5b707737b475c2573d6ece48423a17da56b9a8beed52 | rubric_writer | non-diverse | train | amzd_5534dc4854fd6d64bf48af2b | amzt_1ff6ad3efcbf8a6161babe94 | 1fa3ea35ff46979b6ce468abf1c53287aa2e2c20c5ce92325288891c174dbf66 | 0 | null | null | qwen3_final_response | [
{
"role": "user",
"content": "You are an expert at characterising how one specific person writes Amazon product reviews.\n\nYou will be shown 8 reviews written by ONE reviewer, each preceded by the corresponding product metadata. Using only these reviews, write a rubric that captures this reviewer's distinc... | {"candidate_count":40,"criterion_count":3,"rubric_sha256":"66b1ee4f3a027ff131c7740181277fd43e7579c2bae2a41d32e481c4ea2ad81e","source_example_ids_sha256":"1e738ed0b99d45312062163b6af2ee019288175806518804cfc4e7ca37397996","source_oracle_turn":3,"source_trajectory_id":"1fa3ea35ff46979b6ce468abf1c53287aa2e2c20c5ce923252888... |
amazon-c2-direct-distillation-sft-row-v1 | 4030ac760894c6a2825e1136c547817e088d6023278caad70b8d9b3e567260d3 | rubric_writer | non-diverse | train | amzd_14d07aa0935be706cb38b8cd | amzt_d154b79e1e26bd5e41c36358 | 2371d178573ee61a3f52128a625949180dbae9d1908e09fb6aa2abbd95135c82 | 0 | null | null | qwen3_final_response | [{"role":"user","content":"You are an expert at characterising how one specific person writes Amazon(...TRUNCATED) | "{\"candidate_count\":40,\"criterion_count\":1,\"rubric_sha256\":\"b7bdeec4c26818993ece05439debc7e47(...TRUNCATED) |
amazon-c2-direct-distillation-sft-row-v1 | 8a5aee48f2e3c1ce549d9070235119aec85aaf68dc93a1bf8dab474e9cc58aea | rubric_writer | non-diverse | train | amzd_9c49d9ed8dbe910f781623ad | amzt_e91bfe7d7859ec34c714c94b | abbe62c084fd3fdf2fb23dfd56c9b11553a6bb2bfd6a99b1dbc12cacec4d0922 | 0 | null | null | qwen3_final_response | [{"role":"user","content":"You are an expert at characterising how one specific person writes Amazon(...TRUNCATED) | "{\"candidate_count\":40,\"criterion_count\":7,\"rubric_sha256\":\"c7ab5ced8528461d9025b55fc3c1bb171(...TRUNCATED) |
amazon-c2-direct-distillation-sft-row-v1 | 8c59b6172c40dd282edb5d7f9dc490228533140ba3f8d17e54c12297cd76a0a6 | rubric_writer | non-diverse | train | amzd_bd6a8acfb82b33f08d84cf65 | amzt_f57226d740616b5ee3ee6bcc | 8079f56e92e6b707f47ec0df0eeaeb1254096100f6ec611b5c3e44f187eae5d1 | 0 | null | null | qwen3_final_response | [{"role":"user","content":"You are an expert at characterising how one specific person writes Amazon(...TRUNCATED) | "{\"candidate_count\":40,\"criterion_count\":1,\"rubric_sha256\":\"1de428d9b17a772266f11aafc58642ab6(...TRUNCATED) |
amazon-c2-direct-distillation-sft-row-v1 | 3600769274d8ea44364191196bc4f629c3035362cd5a6ed5e73741cb59119406 | rubric_judge | non-diverse | train | amzd_5534dc4854fd6d64bf48af2b | amzt_1ff6ad3efcbf8a6161babe94 | 1fa3ea35ff46979b6ce468abf1c53287aa2e2c20c5ce92325288891c174dbf66 | 0 | null | null | qwen3_final_response | [{"role":"user","content":"Score EACH candidate Amazon product review independently against the weig(...TRUNCATED) | "{\"candidate_count\":40,\"candidate_order\":[30,7,1,17,21,31,12,14,9,4,5,8,24,10,29,34,39,20,13,25,(...TRUNCATED) |
End of preview. Expand in Data Studio
Amazon c2 distillation
Each retained trajectory contributes one direct rubric-writer target and one full-rubric listwise judge target over the original 40 candidates. Teacher scratch reasoning is discarded. Membership follows the complete pinned C11 stopping-objective corpus.
The six configurations cross the two candidate variants with the three frozen stopping objectives. Every
configuration exposes only its combined training view and preserves the native train, validation, and test
splits.
| Config | Train | Validation | Test |
|---|---|---|---|
latent-state-spearman |
19,774 | 198 | 198 |
latent-state-best32-norm-tr |
19,774 | 198 | 198 |
latent-state-harmonic32-norm-tr |
19,774 | 198 | 198 |
non-diverse-spearman |
18,326 | 182 | 186 |
non-diverse-best32-norm-tr |
18,326 | 182 | 186 |
non-diverse-harmonic32-norm-tr |
18,326 | 182 | 186 |
Provenance
asingh15/amazon-c11-distillationat3f7302f2eb78cfa8a90110bd370237fd11e1638c(combined-and-full-judge; catalogfaff332d2bf465d37c7d6e9c0bb068522d80e3ae1e5f777688ec6c607f99f1d2)- Derived catalog SHA-256:
811c9a298cb4bfb015b60db63c0c43a2303ec9b22dd7774de31e74b549616002 - Row schema:
amazon-c2-direct-distillation-sft-row-v1
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