Harryis commited on
Commit
f812f11
·
verified ·
1 Parent(s): 22ba59b

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_119_e7ca15e2b2bb428ee4b0.table.json +0 -0
  2. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_129_bbc71a3280f8b9be8dd3.table.json +0 -0
  3. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_139_1fa865c6da620969680e.table.json +0 -0
  4. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_159_8ffdce92ab724b54d945.table.json +0 -0
  5. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_169_74ce9291fe2be48d42cb.table.json +0 -0
  6. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_179_69fd5261f472115a13f9.table.json +0 -0
  7. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_189_cda4a0d654ca3d71689c.table.json +0 -0
  8. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_199_470836c8a7dff5aabc37.table.json +0 -0
  9. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_29_99fcef108b4468bdda98.table.json +0 -0
  10. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_39_4f797a2b637b4cee1e95.table.json +0 -0
  11. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_49_70aa90e3d8faaea30bc0.table.json +0 -0
  12. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_59_4935d42e43fbbb2a4e17.table.json +0 -0
  13. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_69_6c2152e27e6858e131a4.table.json +0 -0
  14. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_79_95eedb1345452977b33d.table.json +0 -0
  15. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_89_a7aeaa4f77f0d593b503.table.json +0 -0
  16. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_99_7dfbfe56572232b5e681.table.json +0 -0
  17. wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_9_0f967df0b88b01600604.table.json +0 -0
  18. wandb/run-20251231_001353-e8abi9jd/files/wandb-summary.json +1 -0
  19. wandb/run-20251231_003933-0gjqm37v/files/config.yaml +962 -0
  20. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_0_972235da98ad95491d14.table.json +0 -0
  21. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_109_3d946edb607fafca32f9.table.json +0 -0
  22. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_119_a59ff097d4e7aead2bae.table.json +0 -0
  23. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_129_44c6ee22ecb024802c64.table.json +0 -0
  24. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_139_da65158be6f1d9b33e5e.table.json +0 -0
  25. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_149_6139b9be6ea40f9bb3c6.table.json +0 -0
  26. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_159_8adf0fbe4258bfb57caf.table.json +0 -0
  27. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_169_b56cadd3ffba9caa52cc.table.json +0 -0
  28. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_179_9caf473b24978bac4a2b.table.json +0 -0
  29. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_189_752b49c624450fe9b624.table.json +0 -0
  30. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_199_459c134f9318dd89db62.table.json +0 -0
  31. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_19_f62d75802459dfad852b.table.json +0 -0
  32. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_29_77a81757f0a838c92a02.table.json +0 -0
  33. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_39_dc226f35db169d4d2c4c.table.json +0 -0
  34. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_49_049e4a665fba81468ed6.table.json +0 -0
  35. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_59_6e213ce796eb914f7b5e.table.json +0 -0
  36. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_69_5c92d0829978f16b30e4.table.json +0 -0
  37. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_79_57d6b7c13d9b304ea940.table.json +0 -0
  38. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_89_14b3ff6869a6a1fff499.table.json +0 -0
  39. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_99_c678e67151eafa0144a3.table.json +0 -0
  40. wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_9_8e1fad03ebf9d44f8794.table.json +0 -0
  41. wandb/run-20251231_003933-0gjqm37v/files/requirements.txt +313 -0
  42. wandb/run-20251231_003933-0gjqm37v/files/wandb-metadata.json +107 -0
  43. wandb/run-20251231_003933-0gjqm37v/files/wandb-summary.json +1 -0
  44. wandb/run-20251231_195154-5kmh5x23/files/config.yaml +964 -0
  45. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_0_73426e8d7b24696eab01.table.json +1 -0
  46. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_19_7b961eb7481553898234.table.json +1 -0
  47. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_29_6c461187694e6c4617e3.table.json +1 -0
  48. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_39_f6e90d96b51748f352a2.table.json +1 -0
  49. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_49_c9d145a077c2e9e48cc6.table.json +0 -0
  50. wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_59_7f2219e18afd653b749a.table.json +0 -0
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_119_e7ca15e2b2bb428ee4b0.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_129_bbc71a3280f8b9be8dd3.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_139_1fa865c6da620969680e.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_159_8ffdce92ab724b54d945.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_169_74ce9291fe2be48d42cb.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_179_69fd5261f472115a13f9.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_189_cda4a0d654ca3d71689c.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_199_470836c8a7dff5aabc37.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_29_99fcef108b4468bdda98.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_39_4f797a2b637b4cee1e95.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_49_70aa90e3d8faaea30bc0.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_59_4935d42e43fbbb2a4e17.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_69_6c2152e27e6858e131a4.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_79_95eedb1345452977b33d.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_89_a7aeaa4f77f0d593b503.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_99_7dfbfe56572232b5e681.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/media/table/val/generations_9_0f967df0b88b01600604.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_001353-e8abi9jd/files/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"train/game_2048/max_tile":92.4,"val-core/unknown/reward/best@256/std":0.0689970835873833,"train/game_2048/non-zero/action_is_valid":1,"train/rollout/max_tile":1024,"val-aux/unknown/reward/best@128/std":0.10401653467961718,"val-core/unknown/reward/mean@256":1.0566182925831527,"global_seqlen/mean":4904.25,"train/game_2048/non-zero/final_score":4745.1875,"rollout/in_group_std":0.31248071789741516,"val-env/game_2048/non-zero/raw_reward":7.218823529411765,"val-env/game_2048/raw_reward":7.190625000000001,"response_length_non_aborted/min":1190,"val-aux/unknown/reward/best@2/mean":1.2514689502716065,"val-aux/unknown/reward/best@8/mean":1.5802685933709144,"perf/max_memory_reserved_gb":45.4296875,"timing_s/ref":0.2270893409731798,"train/game_2048/non-zero/raw_reward":6.875,"val-env/game_2048/final_score":5079.3125,"val-env/game_2048/non-zero/action_is_effective":1,"timing_s/old_log_prob":0.31747191003523767,"response_length/max":1259,"prompt_length/clip_ratio":0,"timing_s/step":2723.8554423199967,"timing_per_token_ms/update_critic":0.01932421794906135,"val-env/game_2048/action_mask":0,"timing_per_token_ms/gen":31.326584663277615,"val-aux/unknown/reward/worst@256/std":0.11645619154569403,"val-env/game_2048/max_tile":104.00000000000001,"val-env/game_2048/non-zero/max_tile":104.00000000000001,"train/game_2048/pass@16":0,"actor/lr":1e-06,"rollout/chosen_in_group_mean":1.053375482559204,"val-core/unknown/reward/best@256/mean":2.1630114575624466,"critic/values/mean":1.1244128942489624,"val-aux/unknown/reward/best@64/std":0.17750970730568008,"timing_s/adv":0.053679457982070744,"response/aborted_ratio":0,"critic/rewards/min":0.31699249148368835,"rollout/chosen_in_group_reward_std":0.3528027832508087,"_wandb":{"runtime":166318},"val-env/game_2048/non-zero/episodic_return":36.09411764705882,"response_length_non_aborted/max":1259,"prompt_length/mean":0,"critic/returns/min":0.31699249148368835,"val-aux/unknown/reward/best@16/mean":1.7278767572641374,"perf/max_memory_allocated_gb":41.63673210144043,"critic/advantages/max":4.004378318786621,"timing_per_token_ms/update_actor":0.021072316001443648,"train/game_2048/non-zero/num_actions":349.875,"perf/cpu_memory_used_gb":85.93828964233398,"val-env/game_2048/non-zero/action_is_valid":1,"timing_s/total":165923.94841957092,"perf/throughput":1.8004810107774625,"timing_s/update_actor":0.8267512460006401,"val-aux/unknown/reward/worst@32/std":0.1782173198584537,"rollout/in_group_reward_max":1.6211193799972534,"train/game_2048/final_score":4745.1875,"train/game_2048/action_is_valid":1,"global_seqlen/min":4847,"response_length_non_aborted/mean":1226.0625,"val-env/game_2048/score":5065.98125,"train/game_2048/non-zero/score":4732.8375,"val-env/game_2048/num_actions":369.11328125,"critic/values/min":0.50390625,"timing_per_token_ms/adv":0.0013681872351040104,"critic/rewards/mean":1.0533753633499146,"rollout/chosen_in_group_std":0.3528027832508087,"timing_per_token_ms/values":0.005548293622723925,"rollout/chosen_in_group_reward_max":1.6695815324783325,"val-aux/unknown/reward/best@8/std":0.27256229850374836,"val-aux/unknown/reward/best@32/mean":1.8833619586229324,"val-aux/unknown/reward/worst@2/std":0.2726190328611376,"val-aux/unknown/reward/best@32/std":0.23380037738116488,"train/game_2048/action_is_effective":1,"critic/returns/max":1.7110697031021118,"train/game_2048/num_actions":349.875,"_step":200,"response_length_non_aborted/clip_ratio":0,"train/game_2048/score":4732.8375,"response_length/clip_ratio":0,"rollout/chosen_in_group_reward_mean":1.053375482559204,"val-env/game_2048/success":0,"rollout/in_group_max":1.6211193799972534,"val-aux/unknown/reward/worst@2/mean":0.8593703148663044,"val-env/game_2048/non-zero/num_actions":369.11328125,"response_length/mean":1226.0625,"train/response_length":84,"val-aux/unknown/reward/worst@32/mean":0.37598659041523935,"global_seqlen/minmax_diff":115,"prompt_length/min":0,"critic/vf_clipfrac":0,"val-env/rollout/max_tile":1024,"train/game_2048/non-zero/episodic_return":34.375,"response_length/min":1190,"val-aux/unknown/reward/worst@128/std":0.15466571413068136,"critic/score/max":1.7110697031021118,"rollout/in_group_reward_std":0.31248071789741516,"_timestamp":1.7672775527405992e+09,"perf/time_per_step":2723.8554423199967,"val-aux/unknown/reward/worst@64/mean":0.26966810029745103,"actor/pg_clipfrac":0,"critic/lr":1e-05,"prompt_length/max":0,"val-aux/unknown/reward/worst@256/mean":0.07943509569764137,"actor/pg_loss":0.06173459207639098,"train/game_2048/raw_reward":6.875,"val-env/game_2048/action_is_effective":1,"val-aux/unknown/reward/best@128/mean":2.1092210774421694,"global_seqlen/balanced_max":4908,"val-aux/unknown/reward/best@4/mean":1.4154372670650481,"val/generations":{"size":1314297,"path":"media/table/val/generations_199_470836c8a7dff5aabc37.table.json","sha256":"470836c8a7dff5aabc37433753a17bf7b8fc53a40a4c44412499903d0c43b631","log_mode":"IMMUTABLE","ncols":61,"nrows":21,"_latest_artifact_path":"wandb-client-artifact://5y0ixcms5ed1sohtsem98kkfoprqjtdtsrqi37a7rods2z6ti6tffa8q0rkosnhjwvr47od70zz0eq80fydjypjd5w4m93ifiukfk3tccmh3bmmfwqt14bvr3esaljl4:latest/val/generations.table.json","artifact_path":"wandb-client-artifact://cor1r5uhgheu7lrn7ib6s6cakfitia8k5fij4dooqulr4b904tew8bk7ddexlwwq9tldt466ucn0adia5a98sm4sebrq1krg8p6ldcq96iysxuq1gp1wmhsfyw6z3a7l/val/generations.table.json","_type":"table-file"},"train/game_2048/non-zero/action_is_effective":1,"critic/vf_loss":0.00563277758192271,"val-env/game_2048/action_is_valid":1,"critic/score/min":0.31699249148368835,"actor/ppo_kl":0,"rollout/ref_log_prob":-0.5522215962409973,"rollout/in_group_mean":1.0639735460281372,"perf/total_num_tokens":39234,"val-aux/unknown/reward/worst@4/std":0.2266211038024513,"val-aux/unknown/reward/best@2/std":0.30535135606990316,"val-aux/unknown/reward/worst@16/mean":0.4806924722492695,"train/game_2048/grid":0,"train/game_2048/non-zero/max_tile":92.4,"timing_s/testing":1486.5214721680386,"val-aux/unknown/reward/worst@8/mean":0.5938866574168206,"val-env/game_2048/non-zero/score":5065.98125,"val-env/charts/avg_episode_return":35.953125,"train/game_2048/action_mask":0,"rollout/in_group_reward_mean":1.0639735460281372,"critic/score/mean":1.0533753633499146,"actor/grad_norm":18.222116470336914,"perf/mfu/critic":0.027467248780454825,"val-aux/unknown/reward/worst@4/mean":0.7178093611001969,"val-aux/unknown/reward/best@4/std":0.2751719804086775,"val-env/game_2048/non-zero/final_score":5079.3125,"critic/advantages/mean":1.0643686820799303e-08,"timing_s/update_critic":0.7581663670134731,"actor/pg_clipfrac_lower":0,"critic/vpred_mean":0.9143763929605484,"val-aux/unknown/reward/worst@8/std":0.197770735169277,"train/game_2048/episodic_return":34.375,"perf/mfu/actor":0.025105401703555404,"actor/entropy":0.06106710433959961,"val-env/game_2048/grid":0,"train/charts/avg_episode_return":34.375,"critic/vf_explained_var":0.4798651933670044,"train/game_2048/success":0,"val-aux/unknown/reward/std@256":0.34688166863983644,"timing_s/gen":1229.0672226790339,"val-aux/unknown/reward/worst@16/std":0.1876229937854177,"val-env/response_length":84,"global_seqlen/max":4962,"critic/rewards/max":1.7110697031021118,"val-aux/unknown/reward/best@16/std":0.26350900746775174,"val-aux/unknown/reward/best@64/mean":2.0112354840040205,"critic/returns/mean":1.053375482559204,"timing_per_token_ms/ref":0.00578807516371463,"critic/grad_norm":14.864826202392578,"rollout/chosen_in_group_max":1.6695815324783325,"global_seqlen/balanced_min":4900,"critic/advantages/min":-3.7773520946502686,"val-aux/unknown/reward/worst@64/std":0.1763829295397652,"val-env/game_2048/pass@1":0,"val-aux/unknown/reward/worst@128/mean":0.16738175502419472,"critic/values/max":2.0625,"val-env/game_2048/episodic_return":35.953125,"timing_s/save_checkpoint":5.8634677969967015,"timing_s/values":0.21768175199395046,"_runtime":166318.512464936}
wandb/run-20251231_003933-0gjqm37v/files/config.yaml ADDED
@@ -0,0 +1,962 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.23.0
4
+ e:
5
+ icplkjlhxpq6pzykpfuei848fqopjwt0:
6
+ args:
7
+ - --node-ip-address=10.119.18.43
8
+ - --node-manager-port=39081
9
+ - --object-store-name=/tmp/ray/session_2025-12-31_00-37-41_135186_4167385/sockets/plasma_store
10
+ - --raylet-name=/tmp/ray/session_2025-12-31_00-37-41_135186_4167385/sockets/raylet
11
+ - --redis-address=None
12
+ - --metrics-agent-port=50276
13
+ - --logging-rotate-bytes=536870912
14
+ - --logging-rotate-backup-count=5
15
+ - --runtime-env-agent-port=63313
16
+ - --gcs-address=10.119.18.43:53773
17
+ - --session-name=session_2025-12-31_00-37-41_135186_4167385
18
+ - --temp-dir=/tmp/ray
19
+ - --webui=127.0.0.1:8265
20
+ - --cluster-id=0bd4bdd8ca56c2dfab8d3296a6bbb364e38553b1a5203b5973d92d85
21
+ - --startup-token=112
22
+ - --worker-launch-time-ms=1767112674786
23
+ - --node-id=ec37c261931dba407688fa8df2a21d582b42e96a91e76360859fcde0
24
+ - --runtime-env-hash=-839022692
25
+ cpu_count: 64
26
+ cpu_count_logical: 128
27
+ cudaVersion: "13.0"
28
+ disk:
29
+ /:
30
+ total: "5153960755200"
31
+ used: "20271943680"
32
+ email: haoyu-wa22@mails.tsinghua.edu.cn
33
+ executable: /root/local/miniconda3/envs/ragen/bin/python
34
+ git:
35
+ commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
36
+ remote: https://github.com/mll-lab-nu/RAGEN.git
37
+ gpu: NVIDIA H100 80GB HBM3
38
+ gpu_count: 8
39
+ gpu_nvidia:
40
+ - architecture: Hopper
41
+ cudaCores: 16896
42
+ memoryTotal: "85520809984"
43
+ name: NVIDIA H100 80GB HBM3
44
+ uuid: GPU-29f0a856-a12b-1581-38b4-916e7346a784
45
+ - architecture: Hopper
46
+ cudaCores: 16896
47
+ memoryTotal: "85520809984"
48
+ name: NVIDIA H100 80GB HBM3
49
+ uuid: GPU-9f667591-6d3e-2f82-2c9c-a104e9e60b79
50
+ - architecture: Hopper
51
+ cudaCores: 16896
52
+ memoryTotal: "85520809984"
53
+ name: NVIDIA H100 80GB HBM3
54
+ uuid: GPU-d8fc696a-7966-9460-11b0-2821848dc36b
55
+ - architecture: Hopper
56
+ cudaCores: 16896
57
+ memoryTotal: "85520809984"
58
+ name: NVIDIA H100 80GB HBM3
59
+ uuid: GPU-12ffe1cd-2198-13d1-a289-bd0bf044c903
60
+ - architecture: Hopper
61
+ cudaCores: 16896
62
+ memoryTotal: "85520809984"
63
+ name: NVIDIA H100 80GB HBM3
64
+ uuid: GPU-389c1b72-63f4-56ca-1448-41f5efa2523b
65
+ - architecture: Hopper
66
+ cudaCores: 16896
67
+ memoryTotal: "85520809984"
68
+ name: NVIDIA H100 80GB HBM3
69
+ uuid: GPU-2a50af47-eb6a-6d96-fe56-d7caa8a2e460
70
+ - architecture: Hopper
71
+ cudaCores: 16896
72
+ memoryTotal: "85520809984"
73
+ name: NVIDIA H100 80GB HBM3
74
+ uuid: GPU-1d0e7ab5-cf51-ca66-bf6f-e72dc425f9f8
75
+ - architecture: Hopper
76
+ cudaCores: 16896
77
+ memoryTotal: "85520809984"
78
+ name: NVIDIA H100 80GB HBM3
79
+ uuid: GPU-9299dcdf-eee5-9434-0ab3-25c9e4f53eed
80
+ host: pt-406ea8761c42406dad2caa395ab48b30-worker-0
81
+ memory:
82
+ total: "2163639439360"
83
+ os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
84
+ program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
85
+ python: CPython 3.10.19
86
+ root: /mnt/general/wanghy/RAGEN
87
+ startedAt: "2025-12-30T16:39:33.791390Z"
88
+ writerId: icplkjlhxpq6pzykpfuei848fqopjwt0
89
+ m: []
90
+ python_version: 3.10.19
91
+ t:
92
+ "1":
93
+ - 1
94
+ - 5
95
+ - 11
96
+ - 30
97
+ - 41
98
+ - 49
99
+ - 50
100
+ - 51
101
+ - 53
102
+ - 71
103
+ - 95
104
+ - 97
105
+ - 98
106
+ - 105
107
+ "2":
108
+ - 1
109
+ - 5
110
+ - 11
111
+ - 30
112
+ - 41
113
+ - 49
114
+ - 50
115
+ - 51
116
+ - 53
117
+ - 71
118
+ - 95
119
+ - 97
120
+ - 98
121
+ - 105
122
+ "3":
123
+ - 2
124
+ - 13
125
+ - 16
126
+ - 61
127
+ "4": 3.10.19
128
+ "5": 0.23.0
129
+ "6": 4.57.3
130
+ "12": 0.23.0
131
+ "13": linux-x86_64
132
+ actor_rollout_ref:
133
+ value:
134
+ actor:
135
+ _target_: verl.workers.config.FSDPActorConfig
136
+ checkpoint:
137
+ _target_: verl.trainer.config.CheckpointConfig
138
+ async_save: false
139
+ load_contents:
140
+ - model
141
+ - optimizer
142
+ - extra
143
+ save_contents:
144
+ - model
145
+ - optimizer
146
+ - extra
147
+ clip_ratio: 0.2
148
+ clip_ratio_c: 3
149
+ clip_ratio_high: 0.28
150
+ clip_ratio_low: 0.2
151
+ entropy_checkpointing: false
152
+ entropy_coeff: 0.001
153
+ entropy_from_logits_with_chunking: false
154
+ freeze_vision_tower: false
155
+ fsdp_config:
156
+ _target_: verl.workers.config.FSDPEngineConfig
157
+ entropy_checkpointing: false
158
+ entropy_from_logits_with_chunking: false
159
+ forward_only: false
160
+ forward_prefetch: false
161
+ fsdp_size: -1
162
+ model_dtype: fp32
163
+ offload_policy: false
164
+ optimizer_offload: false
165
+ param_offload: false
166
+ reshard_after_forward: true
167
+ strategy: fsdp
168
+ ulysses_sequence_parallel_size: 1
169
+ use_orig_params: false
170
+ use_torch_compile: true
171
+ wrap_policy:
172
+ min_num_params: 0
173
+ grad_clip: 1
174
+ grpo_advantage_length_weight: false
175
+ kl_loss_coef: 0
176
+ kl_loss_type: kl
177
+ loss_agg_mode: token-mean
178
+ optim:
179
+ _target_: verl.workers.config.FSDPOptimizerConfig
180
+ betas:
181
+ - 0.9
182
+ - 0.999
183
+ clip_grad: 1
184
+ lr: 1e-06
185
+ lr_warmup_steps: -1
186
+ lr_warmup_steps_ratio: 0
187
+ min_lr_ratio: 0
188
+ num_cycles: 0.5
189
+ total_training_steps: 200
190
+ warmup_style: constant
191
+ weight_decay: 0.01
192
+ policy_loss:
193
+ _target_: verl.workers.config.PolicyLossConfig
194
+ clip_cov_lb: 1
195
+ clip_cov_ratio: 0.0002
196
+ clip_cov_ub: 5
197
+ kl_cov_ratio: 0.0002
198
+ loss_mode: vanilla
199
+ ppo_kl_coef: 0.1
200
+ ppo_epochs: 1
201
+ ppo_max_token_len_per_gpu: 16384
202
+ ppo_micro_batch_size: null
203
+ ppo_micro_batch_size_per_gpu: 1
204
+ ppo_mini_batch_size: 32
205
+ profiler:
206
+ _target_: verl.utils.profiler.ProfilerConfig
207
+ all_ranks: false
208
+ enable: false
209
+ ranks: []
210
+ save_path: outputs/profile
211
+ tool: null
212
+ tool_config:
213
+ npu:
214
+ _target_: verl.utils.profiler.config.NPUToolConfig
215
+ analysis: true
216
+ contents: []
217
+ discrete: false
218
+ level: level1
219
+ nsys:
220
+ _target_: verl.utils.profiler.config.NsightToolConfig
221
+ discrete: false
222
+ torch:
223
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
224
+ step_end: null
225
+ step_start: 0
226
+ torch_memory:
227
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
228
+ stack_depth: 32
229
+ trace_alloc_max_entries: 100000
230
+ shuffle: false
231
+ strategy: fsdp
232
+ tis_imp_ratio_cap: -1
233
+ ulysses_sequence_parallel_size: 1
234
+ use_dynamic_bsz: false
235
+ use_fused_kernels: false
236
+ use_kl_loss: false
237
+ use_ref: true
238
+ use_remove_padding: false
239
+ use_torch_compile: true
240
+ hybrid_engine: true
241
+ model:
242
+ _target_: verl.workers.config.HFModelConfig
243
+ custom_chat_template: null
244
+ enable_activation_offload: false
245
+ enable_gradient_checkpointing: true
246
+ exclude_modules: null
247
+ external_lib: null
248
+ fused_kernel_options:
249
+ impl_backend: torch
250
+ hf_config_path: null
251
+ lora_alpha: 16
252
+ lora_rank: 0
253
+ path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
254
+ target_modules: all-linear
255
+ tokenizer_path: null
256
+ torch_dtype: bfloat16
257
+ trust_remote_code: false
258
+ use_fused_kernels: false
259
+ use_liger: false
260
+ use_remove_padding: false
261
+ use_shm: false
262
+ nccl_timeout: 600
263
+ ref:
264
+ entropy_checkpointing: false
265
+ entropy_from_logits_with_chunking: false
266
+ fsdp_config:
267
+ _target_: verl.workers.config.FSDPEngineConfig
268
+ entropy_checkpointing: false
269
+ entropy_from_logits_with_chunking: false
270
+ forward_only: false
271
+ forward_prefetch: false
272
+ fsdp_size: -1
273
+ model_dtype: fp32
274
+ offload_policy: false
275
+ optimizer_offload: false
276
+ param_offload: false
277
+ reshard_after_forward: true
278
+ strategy: fsdp
279
+ ulysses_sequence_parallel_size: 1
280
+ use_orig_params: false
281
+ use_torch_compile: true
282
+ wrap_policy:
283
+ min_num_params: 0
284
+ log_prob_max_token_len_per_gpu: 16384
285
+ log_prob_micro_batch_size: null
286
+ log_prob_micro_batch_size_per_gpu: 1
287
+ log_prob_use_dynamic_bsz: false
288
+ model: null
289
+ profiler:
290
+ _target_: verl.utils.profiler.ProfilerConfig
291
+ all_ranks: false
292
+ enable: false
293
+ ranks: []
294
+ save_path: outputs/profile
295
+ tool: null
296
+ tool_config:
297
+ npu:
298
+ _target_: verl.utils.profiler.config.NPUToolConfig
299
+ analysis: true
300
+ contents: []
301
+ discrete: false
302
+ level: level1
303
+ nsys:
304
+ _target_: verl.utils.profiler.config.NsightToolConfig
305
+ discrete: false
306
+ torch:
307
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
308
+ step_end: null
309
+ step_start: 0
310
+ torch_memory:
311
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
312
+ stack_depth: 32
313
+ trace_alloc_max_entries: 100000
314
+ strategy: fsdp
315
+ ulysses_sequence_parallel_size: 1
316
+ use_torch_compile: true
317
+ rollout:
318
+ _target_: verl.workers.config.RolloutConfig
319
+ agent:
320
+ _target_: verl.workers.config.AgentLoopConfig
321
+ agent_loop_config_path: null
322
+ custom_async_server:
323
+ _target_: verl.workers.config.CustomAsyncServerConfig
324
+ name: null
325
+ path: null
326
+ num_workers: 8
327
+ calculate_log_probs: false
328
+ cudagraph_capture_sizes: null
329
+ data_parallel_size: 1
330
+ disable_log_stats: true
331
+ do_sample: true
332
+ dtype: bfloat16
333
+ enable_chunked_prefill: true
334
+ enable_prefix_caching: true
335
+ enforce_eager: true
336
+ expert_parallel_size: 1
337
+ free_cache_engine: true
338
+ gpu_memory_utilization: 0.7
339
+ ignore_eos: false
340
+ layered_summon: false
341
+ load_format: dummy
342
+ log_prob_max_token_len_per_gpu: 16384
343
+ log_prob_micro_batch_size: null
344
+ log_prob_micro_batch_size_per_gpu: 1
345
+ log_prob_use_dynamic_bsz: false
346
+ max_model_len: 16384
347
+ max_num_batched_tokens: 16384
348
+ max_num_seqs: 1024
349
+ mode: sync
350
+ multi_stage_wake_up: false
351
+ multi_turn:
352
+ _target_: verl.workers.config.MultiTurnConfig
353
+ enable: false
354
+ format: hermes
355
+ interaction_config_path: null
356
+ max_assistant_turns: null
357
+ max_parallel_calls: 1
358
+ max_tool_response_length: 256
359
+ max_user_turns: null
360
+ num_repeat_rollouts: null
361
+ tokenization_sanity_check_mode: strict
362
+ tool_config_path: null
363
+ tool_response_truncate_side: middle
364
+ use_inference_chat_template: false
365
+ "n": 1
366
+ name: vllm
367
+ over_sample_rate: 0
368
+ profiler:
369
+ _target_: verl.utils.profiler.ProfilerConfig
370
+ all_ranks: false
371
+ enable: false
372
+ ranks: []
373
+ save_path: outputs/profile
374
+ tool: null
375
+ tool_config:
376
+ npu:
377
+ _target_: verl.utils.profiler.config.NPUToolConfig
378
+ analysis: true
379
+ contents: []
380
+ discrete: false
381
+ level: level1
382
+ nsys:
383
+ _target_: verl.utils.profiler.config.NsightToolConfig
384
+ discrete: false
385
+ torch:
386
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
387
+ step_end: null
388
+ step_start: 0
389
+ torch_memory:
390
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
391
+ stack_depth: 32
392
+ trace_alloc_max_entries: 100000
393
+ prompt_length: 1
394
+ response_length: 500
395
+ rollout_filter_metric: reward_variance
396
+ rollout_filter_ratio: 0.25
397
+ rollout_filter_type: largest
398
+ skip_dump_dir: /tmp/rollout_dump
399
+ skip_rollout: false
400
+ skip_tokenizer_init: true
401
+ temperature: 1
402
+ tensor_model_parallel_size: 1
403
+ top_k: -1
404
+ top_p: 1
405
+ trace:
406
+ _target_: verl.workers.config.TraceConfig
407
+ backend: null
408
+ token2text: false
409
+ update_weights_bucket_megabytes: 512
410
+ val_kwargs:
411
+ _target_: verl.workers.config.SamplingConfig
412
+ do_sample: true
413
+ "n": 1
414
+ temperature: 0.5
415
+ top_k: -1
416
+ top_p: 1
417
+ agent_proxy:
418
+ value:
419
+ action_sep: '||'
420
+ enable_think: false
421
+ max_actions_per_turn: 1
422
+ max_context_window: -1
423
+ max_turn: 25
424
+ reward_normalization:
425
+ grouping: state
426
+ method: identity
427
+ use_turn_scores: false
428
+ algorithm:
429
+ value:
430
+ _target_: verl.trainer.config.AlgoConfig
431
+ adv_estimator: gae
432
+ bi_level_gae: false
433
+ gamma: 1
434
+ high_level_gamma: 0.95
435
+ kl_ctrl:
436
+ _target_: verl.trainer.config.KLControlConfig
437
+ horizon: 10000
438
+ kl_coef: 0
439
+ target_kl: 0.1
440
+ type: fixed
441
+ kl_penalty: kl
442
+ lam: 1
443
+ norm_adv_by_std_in_grpo: true
444
+ pf_ppo:
445
+ reweight_method: pow
446
+ weight_pow: 2
447
+ use_kl_in_reward: false
448
+ use_pf_ppo: false
449
+ critic:
450
+ value:
451
+ _target_: verl.workers.config.FSDPCriticConfig
452
+ checkpoint:
453
+ _target_: verl.trainer.config.CheckpointConfig
454
+ async_save: false
455
+ load_contents:
456
+ - model
457
+ - optimizer
458
+ - extra
459
+ save_contents:
460
+ - model
461
+ - optimizer
462
+ - extra
463
+ cliprange_value: 0.5
464
+ enable: null
465
+ forward_max_token_len_per_gpu: 32768
466
+ forward_micro_batch_size: null
467
+ forward_micro_batch_size_per_gpu: 1
468
+ grad_clip: 1
469
+ loss_agg_mode: token-mean
470
+ model:
471
+ _target_: verl.workers.config.FSDPCriticModelCfg
472
+ enable_activation_offload: false
473
+ enable_gradient_checkpointing: true
474
+ external_lib: null
475
+ fsdp_config:
476
+ _target_: verl.workers.config.FSDPEngineConfig
477
+ entropy_checkpointing: false
478
+ entropy_from_logits_with_chunking: false
479
+ forward_only: false
480
+ forward_prefetch: false
481
+ fsdp_size: -1
482
+ model_dtype: fp32
483
+ offload_policy: false
484
+ optimizer_offload: false
485
+ param_offload: false
486
+ reshard_after_forward: true
487
+ strategy: fsdp
488
+ ulysses_sequence_parallel_size: 1
489
+ use_orig_params: false
490
+ use_torch_compile: true
491
+ wrap_policy:
492
+ min_num_params: 0
493
+ lora_alpha: 16
494
+ lora_rank: 0
495
+ path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
496
+ target_modules: all-linear
497
+ tokenizer_path: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
498
+ trust_remote_code: false
499
+ use_remove_padding: false
500
+ use_shm: false
501
+ optim:
502
+ _target_: verl.workers.config.FSDPOptimizerConfig
503
+ betas:
504
+ - 0.9
505
+ - 0.999
506
+ clip_grad: 1
507
+ lr: 1e-05
508
+ lr_warmup_steps: -1
509
+ lr_warmup_steps_ratio: 0
510
+ min_lr_ratio: 0
511
+ num_cycles: 0.5
512
+ total_training_steps: 200
513
+ warmup_style: constant
514
+ weight_decay: 0.01
515
+ ppo_epochs: 1
516
+ ppo_max_token_len_per_gpu: 32768
517
+ ppo_micro_batch_size: null
518
+ ppo_micro_batch_size_per_gpu: 1
519
+ ppo_mini_batch_size: 32
520
+ profiler:
521
+ _target_: verl.utils.profiler.ProfilerConfig
522
+ all_ranks: false
523
+ enable: false
524
+ ranks: []
525
+ save_path: outputs/profile
526
+ tool: null
527
+ tool_config:
528
+ npu:
529
+ _target_: verl.utils.profiler.config.NPUToolConfig
530
+ analysis: true
531
+ contents: []
532
+ discrete: false
533
+ level: level1
534
+ nsys:
535
+ _target_: verl.utils.profiler.config.NsightToolConfig
536
+ discrete: false
537
+ torch:
538
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
539
+ step_end: null
540
+ step_start: 0
541
+ torch_memory:
542
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
543
+ stack_depth: 32
544
+ trace_alloc_max_entries: 100000
545
+ rollout_n: 1
546
+ shuffle: false
547
+ strategy: fsdp
548
+ ulysses_sequence_parallel_size: 1
549
+ use_dynamic_bsz: false
550
+ ctx_manager:
551
+ value:
552
+ generation:
553
+ gen_config:
554
+ kwargs: null
555
+ response_length: 500
556
+ temperature: 1
557
+ top_k: -1
558
+ top_p: 1
559
+ custom_envs:
560
+ value:
561
+ Bandit:
562
+ env_config:
563
+ split: train
564
+ env_instruction: ""
565
+ env_type: bandit
566
+ max_actions_per_traj: 1
567
+ max_tokens: 100
568
+ BanditTest:
569
+ env_config:
570
+ split: test
571
+ env_instruction: ""
572
+ env_type: bandit
573
+ max_actions_per_traj: 1
574
+ max_tokens: 100
575
+ CoordFrozenLake:
576
+ env_config:
577
+ observation_format: grid_coord
578
+ env_instruction: |
579
+ You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
580
+ Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
581
+ Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
582
+ Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
583
+ env_type: frozen_lake
584
+ max_actions_per_traj: 25
585
+ max_tokens: 120
586
+ CoordSokoban:
587
+ env_config:
588
+ dim_x: 6
589
+ dim_y: 6
590
+ max_steps: 100
591
+ num_boxes: 1
592
+ observation_format: grid_coord
593
+ env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
594
+ env_type: sokoban
595
+ max_actions_per_traj: 10
596
+ max_tokens: 120
597
+ Countdown:
598
+ env_config: null
599
+ env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
600
+ env_type: countdown
601
+ max_actions_per_traj: 1
602
+ max_tokens: 100
603
+ FrozenLake:
604
+ env_config: null
605
+ env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
606
+ env_type: frozen_lake
607
+ max_actions_per_traj: 25
608
+ max_tokens: 100
609
+ LargerSokoban:
610
+ env_config:
611
+ dim_x: 8
612
+ dim_y: 8
613
+ max_steps: 100
614
+ num_boxes: 2
615
+ search_depth: 10
616
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
617
+ env_type: sokoban
618
+ max_actions_per_traj: 10
619
+ max_tokens: 100
620
+ Lean:
621
+ env_config: null
622
+ env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
623
+ env_type: lean
624
+ max_actions_per_traj: 30
625
+ max_tokens: 512
626
+ MediumSudoku:
627
+ env_config:
628
+ difficulty: medium
629
+ grid_size: 9
630
+ max_steps: 81
631
+ render_format: with_feedback
632
+ show_conflicts: true
633
+ show_valid_numbers: true
634
+ env_instruction: |
635
+ You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
636
+ Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
637
+ Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
638
+ The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
639
+ env_type: sudoku
640
+ max_actions_per_traj: 30
641
+ max_tokens: 150
642
+ max_workers: 32
643
+ parallel_friendly: false
644
+ MetamathQA:
645
+ env_config: null
646
+ env_instruction: 'You are solving Math problems. '
647
+ env_type: metamathqa
648
+ max_actions_per_traj: 1
649
+ max_tokens: 100
650
+ SimpleSokoban:
651
+ env_config:
652
+ dim_x: 6
653
+ dim_y: 6
654
+ max_steps: 100
655
+ num_boxes: 2
656
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
657
+ env_type: sokoban
658
+ max_actions_per_traj: 10
659
+ max_tokens: 100
660
+ SimpleSudoku:
661
+ env_config:
662
+ difficulty: easy
663
+ grid_size: 4
664
+ max_steps: 20
665
+ render_format: with_feedback
666
+ show_conflicts: false
667
+ show_valid_numbers: false
668
+ env_instruction: |
669
+ You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
670
+ Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
671
+ Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
672
+ The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
673
+ env_type: sudoku
674
+ max_actions_per_traj: 20
675
+ max_tokens: 150
676
+ max_workers: 32
677
+ parallel_friendly: false
678
+ SokobanDifferentGridVocab:
679
+ env_config:
680
+ dim_x: 6
681
+ dim_y: 6
682
+ grid_lookup:
683
+ "0": W
684
+ "1": .
685
+ "2": G
686
+ "3": C
687
+ "4": B
688
+ "5": A
689
+ "6": '@'
690
+ grid_vocab:
691
+ .: empty
692
+ '@': player on target
693
+ A: player
694
+ B: box
695
+ C: box on target
696
+ G: target
697
+ W: wall
698
+ max_steps: 100
699
+ num_boxes: 1
700
+ search_depth: 30
701
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
702
+ env_type: sokoban
703
+ max_actions_per_traj: 10
704
+ max_tokens: 100
705
+ VisualSimpleSokoban:
706
+ env_config:
707
+ dim_x: 6
708
+ dim_y: 6
709
+ max_steps: 100
710
+ num_boxes: 1
711
+ render_mode: rgb_array
712
+ env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
713
+ env_type: sokoban
714
+ max_actions_per_traj: 10
715
+ max_tokens: 100
716
+ WebShop:
717
+ env_config:
718
+ dataset: small
719
+ env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later. Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
720
+ env_type: webshop
721
+ max_actions_per_traj: 9
722
+ max_tokens: 200
723
+ blackjack:
724
+ env_config: null
725
+ env_instruction: |
726
+ You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
727
+ Choose either Stick or Hit. Respond with a single action.
728
+ Example: <answer>Hit</answer>
729
+ env_type: blackjack
730
+ max_actions_per_traj: 10
731
+ max_tokens: 64
732
+ game_2048:
733
+ env_config: null
734
+ env_instruction: |
735
+ You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
736
+ If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
737
+ Example: <answer>Up</answer>
738
+ env_type: game_2048
739
+ max_actions_per_traj: 700
740
+ max_tokens: 8192
741
+ rubikscube:
742
+ env_config:
743
+ max_steps: 20
744
+ render_mode: text
745
+ scramble_depth: 1
746
+ env_instruction: |
747
+ You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
748
+ Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
749
+ - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
750
+ - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
751
+ Respond with a sequence of actions separated by "||".
752
+ Example: <answer>U</answer>
753
+ env_type: rubikscube
754
+ max_actions_per_traj: 20
755
+ max_tokens: 96
756
+ custom_reward_function:
757
+ value:
758
+ name: compute_score
759
+ path: null
760
+ data:
761
+ value:
762
+ custom_cls:
763
+ name: null
764
+ path: null
765
+ datagen:
766
+ name: null
767
+ path: null
768
+ dataloader_num_workers: 8
769
+ filter_overlong_prompts: false
770
+ filter_overlong_prompts_workers: 1
771
+ image_key: images
772
+ max_prompt_length: null
773
+ max_response_length: null
774
+ prompt_key: prompt
775
+ return_full_prompt: false
776
+ return_multi_modal_inputs: true
777
+ return_raw_chat: false
778
+ return_raw_input_ids: false
779
+ reward_fn_key: data_source
780
+ sampler:
781
+ class_name: null
782
+ class_path: null
783
+ shuffle: true
784
+ tokenizer: null
785
+ train_batch_size: 128
786
+ train_files: ~/data/rlhf/gsm8k/train.parquet
787
+ truncation: error
788
+ trust_remote_code: false
789
+ use_shm: false
790
+ val_batch_size: null
791
+ val_files: ~/data/rlhf/gsm8k/test.parquet
792
+ validation_shuffle: false
793
+ video_key: videos
794
+ enable_response_mask:
795
+ value: true
796
+ es_manager:
797
+ value:
798
+ format_penalty: -0.1
799
+ train:
800
+ env_configs:
801
+ n_groups:
802
+ - 8
803
+ tags:
804
+ - SimpleSudoku
805
+ env_groups: 8
806
+ group_size: 16
807
+ val:
808
+ env_configs:
809
+ n_groups:
810
+ - 32
811
+ tags:
812
+ - SimpleSudoku
813
+ env_groups: 32
814
+ group_size: 16
815
+ global_profiler:
816
+ value:
817
+ _target_: verl.utils.profiler.ProfilerConfig
818
+ global_tool_config:
819
+ nsys:
820
+ _target_: verl.utils.profiler.config.NsightToolConfig
821
+ controller_nsight_options:
822
+ cuda-graph-trace: graph
823
+ cuda-memory-usage: "true"
824
+ trace: cuda,nvtx,cublas,ucx
825
+ discrete: false
826
+ worker_nsight_options:
827
+ capture-range: cudaProfilerApi
828
+ capture-range-end: null
829
+ cuda-graph-trace: graph
830
+ cuda-memory-usage: "true"
831
+ kill: none
832
+ trace: cuda,nvtx,cublas,ucx
833
+ torch_memory:
834
+ context: all
835
+ stack_depth: 32
836
+ stacks: all
837
+ trace_alloc_max_entries: 100000
838
+ profile_continuous_steps: false
839
+ save_path: outputs/profile
840
+ steps: null
841
+ tool: null
842
+ grpo_advantage_length_weight:
843
+ value: false
844
+ lora:
845
+ value:
846
+ alpha: 16
847
+ rank: 0
848
+ target_modules: all-linear
849
+ micro_batch_size_per_gpu:
850
+ value: 1
851
+ model_path:
852
+ value: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
853
+ ppo_mini_batch_size:
854
+ value: 32
855
+ ray_kwargs:
856
+ value:
857
+ ray_init:
858
+ num_cpus: null
859
+ timeline_json_file: null
860
+ reward_model:
861
+ value:
862
+ enable: false
863
+ enable_resource_pool: false
864
+ forward_max_token_len_per_gpu: 32768
865
+ launch_reward_fn_async: false
866
+ max_length: null
867
+ micro_batch_size: null
868
+ micro_batch_size_per_gpu: null
869
+ model:
870
+ external_lib: null
871
+ fsdp_config:
872
+ _target_: verl.workers.config.FSDPEngineConfig
873
+ forward_prefetch: false
874
+ fsdp_size: -1
875
+ param_offload: false
876
+ reshard_after_forward: true
877
+ wrap_policy:
878
+ min_num_params: 0
879
+ input_tokenizer: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_cube3_sequence_multitask/global_step_100/qwen2.5_3b_actor_hf
880
+ path: ~/models/FsfairX-LLaMA3-RM-v0.1
881
+ trust_remote_code: false
882
+ use_fused_kernels: false
883
+ use_remove_padding: false
884
+ use_shm: false
885
+ n_gpus_per_node: 0
886
+ nnodes: 0
887
+ profiler:
888
+ _target_: verl.utils.profiler.ProfilerConfig
889
+ all_ranks: false
890
+ enable: false
891
+ ranks: []
892
+ save_path: outputs/profile
893
+ tool: null
894
+ tool_config:
895
+ npu:
896
+ _target_: verl.utils.profiler.config.NPUToolConfig
897
+ analysis: true
898
+ contents: []
899
+ discrete: false
900
+ level: level1
901
+ nsys:
902
+ _target_: verl.utils.profiler.config.NsightToolConfig
903
+ discrete: false
904
+ torch:
905
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
906
+ step_end: null
907
+ step_start: 0
908
+ torch_memory:
909
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
910
+ stack_depth: 32
911
+ trace_alloc_max_entries: 100000
912
+ reward_manager: naive
913
+ sandbox_fusion:
914
+ max_concurrent: 64
915
+ memory_limit_mb: 1024
916
+ url: null
917
+ strategy: fsdp
918
+ ulysses_sequence_parallel_size: 1
919
+ use_dynamic_bsz: false
920
+ seed:
921
+ value:
922
+ train: 10000
923
+ val: 123
924
+ system:
925
+ value:
926
+ CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
927
+ trainer:
928
+ value:
929
+ balance_batch: true
930
+ critic_warmup: 0
931
+ default_hdfs_dir: null
932
+ default_local_dir: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_sudoku_sequence_multitask
933
+ del_local_ckpt_after_load: false
934
+ device: cuda
935
+ esi_redundant_time: 0
936
+ experiment_name: sudoku-4x4-nohint-starpos_sequence_multitask
937
+ generations_to_log_to_wandb:
938
+ train: 128
939
+ val: 20
940
+ local_log_dir: results/
941
+ log_val_generations: 0
942
+ logger:
943
+ - console
944
+ - wandb
945
+ max_actor_ckpt_to_keep: 1
946
+ max_critic_ckpt_to_keep: 1
947
+ n_gpus_per_node: 8
948
+ nnodes: 1
949
+ project_name: ragen_latest_qwen2.5_3B_it_sequence_multitask_nothink
950
+ ray_wait_register_center_timeout: 300
951
+ resume_from_path: null
952
+ resume_mode: auto
953
+ rollout_data_dir: null
954
+ save_freq: 200
955
+ test_freq: 10
956
+ total_epochs: 30
957
+ total_training_steps: 200
958
+ use_legacy_worker_impl: auto
959
+ val_before_train: true
960
+ val_only: false
961
+ validation_data_dir: null
962
+ validation_steps: 1
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_0_972235da98ad95491d14.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_109_3d946edb607fafca32f9.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_119_a59ff097d4e7aead2bae.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_129_44c6ee22ecb024802c64.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_139_da65158be6f1d9b33e5e.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_149_6139b9be6ea40f9bb3c6.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_159_8adf0fbe4258bfb57caf.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_169_b56cadd3ffba9caa52cc.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_179_9caf473b24978bac4a2b.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_189_752b49c624450fe9b624.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_199_459c134f9318dd89db62.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_19_f62d75802459dfad852b.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_29_77a81757f0a838c92a02.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_39_dc226f35db169d4d2c4c.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_49_049e4a665fba81468ed6.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_59_6e213ce796eb914f7b5e.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_69_5c92d0829978f16b30e4.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_79_57d6b7c13d9b304ea940.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_89_14b3ff6869a6a1fff499.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_99_c678e67151eafa0144a3.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/media/table/val/generations_9_8e1fad03ebf9d44f8794.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_003933-0gjqm37v/files/requirements.txt ADDED
@@ -0,0 +1,313 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ragen==0.1
2
+ ragen==0.1
3
+ colorama==0.4.6
4
+ psutil==7.1.3
5
+ ragen==0.1
6
+ Farama-Notifications==0.0.4
7
+ MarkupSafe==2.1.5
8
+ PyJWT==2.10.1
9
+ PySocks==1.7.1
10
+ absl-py==2.3.1
11
+ accelerate==1.12.0
12
+ aiohappyeyeballs==2.6.1
13
+ aiohttp==3.13.2
14
+ aiohttp-cors==0.8.1
15
+ aiosignal==1.4.0
16
+ airportsdata==20250909
17
+ annotated-doc==0.0.4
18
+ annotated-types==0.7.0
19
+ anthropic==0.75.0
20
+ antlr4-python3-runtime==4.9.3
21
+ anyio==4.12.0
22
+ astor==0.8.1
23
+ asttokens==3.0.1
24
+ async-timeout==5.0.1
25
+ attrs==25.4.0
26
+ beautifulsoup4==4.14.3
27
+ black==25.11.0
28
+ blake3==1.0.8
29
+ blinker==1.9.0
30
+ blis==1.3.3
31
+ cachetools==6.2.2
32
+ catalogue==2.0.10
33
+ certifi==2025.11.12
34
+ cffi==2.0.0
35
+ charset-normalizer==3.4.4
36
+ cleantext==1.1.4
37
+ click==8.2.1
38
+ cloudpathlib==0.23.0
39
+ cloudpickle==3.1.2
40
+ codetiming==1.4.0
41
+ colorama==0.4.6
42
+ coloredlogs==15.0.1
43
+ colorful==0.5.8
44
+ compressed-tensors==0.9.3
45
+ confection==0.1.5
46
+ contourpy==1.3.2
47
+ cryptography==46.0.3
48
+ cupy-cuda12x==13.6.0
49
+ cycler==0.12.1
50
+ cymem==2.0.13
51
+ Cython==3.2.2
52
+ datasets==4.4.1
53
+ debugpy==1.8.17
54
+ decorator==5.2.1
55
+ Deprecated==1.3.1
56
+ depyf==0.18.0
57
+ dill==0.4.0
58
+ diskcache==5.6.3
59
+ distlib==0.4.0
60
+ distro==1.9.0
61
+ dnspython==2.8.0
62
+ docstring_parser==0.17.0
63
+ einops==0.8.1
64
+ email-validator==2.3.0
65
+ eval_type_backport==0.2.2
66
+ exceptiongroup==1.3.1
67
+ executing==2.2.1
68
+ faiss-gpu==1.7.2
69
+ fastapi==0.123.1
70
+ fastapi-cli==0.0.16
71
+ fastapi-cloud-cli==0.5.2
72
+ fastar==0.8.0
73
+ fastrlock==0.8.3
74
+ filelock==3.19.1
75
+ flash_attn==2.8.3
76
+ Flask==3.1.2
77
+ flatbuffers==25.9.23
78
+ fonttools==4.61.0
79
+ frozenlist==1.8.0
80
+ fsspec==2025.9.0
81
+ gdown==5.2.0
82
+ gguf==0.17.1
83
+ gitdb==4.0.12
84
+ GitPython==3.1.45
85
+ google-api-core==2.28.1
86
+ google-auth==2.43.0
87
+ googleapis-common-protos==1.72.0
88
+ grpcio==1.76.0
89
+ gym==0.26.2
90
+ gym-notices==0.1.0
91
+ gym-sokoban==0.0.6
92
+ gymnasium==1.2.2
93
+ h11==0.16.0
94
+ hf-xet==1.2.0
95
+ html2text==2025.4.15
96
+ httpcore==1.0.9
97
+ httptools==0.7.1
98
+ httpx==0.28.1
99
+ httpx-sse==0.4.3
100
+ huggingface-hub==0.36.0
101
+ humanfriendly==10.0
102
+ hydra-core==1.3.2
103
+ idna==3.11
104
+ ImageIO==2.37.2
105
+ importlib_metadata==8.0.0
106
+ interegular==0.3.3
107
+ ipython==8.37.0
108
+ itsdangerous==2.2.0
109
+ jedi==0.19.2
110
+ Jinja2==3.1.6
111
+ jiter==0.12.0
112
+ joblib==1.5.2
113
+ jsonschema==4.25.1
114
+ jsonschema-specifications==2025.9.1
115
+ kimina-client==0.2.1
116
+ kiwisolver==1.4.9
117
+ lark==1.2.2
118
+ llguidance==0.7.30
119
+ llvmlite==0.44.0
120
+ lm-format-enforcer==0.10.12
121
+ loguru==0.7.3
122
+ Markdown==3.10
123
+ markdown-it-py==4.0.0
124
+ matplotlib==3.10.7
125
+ matplotlib-inline==0.2.1
126
+ mcp==1.22.0
127
+ mdurl==0.1.2
128
+ mistral_common==1.8.6
129
+ mpmath==1.3.0
130
+ msgpack==1.1.2
131
+ msgspec==0.20.0
132
+ multidict==6.7.0
133
+ multiprocess==0.70.18
134
+ murmurhash==1.0.15
135
+ mypy_extensions==1.1.0
136
+ nest-asyncio==1.6.0
137
+ networkx==3.3
138
+ ninja==1.13.0
139
+ nltk==3.9.2
140
+ numba==0.61.2
141
+ numpy==1.26.4
142
+ nvidia-cublas-cu12==12.4.5.8
143
+ nvidia-cuda-cupti-cu12==12.4.127
144
+ nvidia-cuda-nvrtc-cu12==12.4.127
145
+ nvidia-cuda-runtime-cu12==12.4.127
146
+ nvidia-cudnn-cu12==9.1.0.70
147
+ nvidia-cufft-cu12==11.2.1.3
148
+ nvidia-curand-cu12==10.3.5.147
149
+ nvidia-cusolver-cu12==11.6.1.9
150
+ nvidia-cusparse-cu12==12.3.1.170
151
+ nvidia-cusparselt-cu12==0.6.2
152
+ nvidia-nccl-cu12==2.21.5
153
+ nvidia-nvjitlink-cu12==12.4.127
154
+ nvidia-nvtx-cu12==12.4.127
155
+ omegaconf==2.3.0
156
+ onnxruntime==1.23.2
157
+ openai==2.8.1
158
+ opencensus==0.11.4
159
+ opencensus-context==0.1.3
160
+ opencv-python-headless==4.12.0.88
161
+ opentelemetry-api==1.38.0
162
+ opentelemetry-exporter-otlp==1.26.0
163
+ opentelemetry-exporter-otlp-proto-common==1.26.0
164
+ opentelemetry-exporter-otlp-proto-grpc==1.26.0
165
+ opentelemetry-exporter-otlp-proto-http==1.26.0
166
+ opentelemetry-exporter-prometheus==0.59b0
167
+ opentelemetry-proto==1.26.0
168
+ opentelemetry-sdk==1.38.0
169
+ opentelemetry-semantic-conventions==0.59b0
170
+ opentelemetry-semantic-conventions-ai==0.4.13
171
+ orjson==3.11.4
172
+ outlines==0.1.11
173
+ outlines_core==0.1.26
174
+ packaging==25.0
175
+ pandas==2.3.3
176
+ parso==0.8.5
177
+ partial-json-parser==0.2.1.1.post7
178
+ pathspec==0.12.1
179
+ peft==0.18.0
180
+ pexpect==4.9.0
181
+ pillow==11.3.0
182
+ pip==25.3
183
+ platformdirs==4.5.0
184
+ preshed==3.0.12
185
+ prometheus_client==0.23.1
186
+ prometheus-fastapi-instrumentator==7.1.0
187
+ prompt_toolkit==3.0.52
188
+ propcache==0.4.1
189
+ proto-plus==1.26.1
190
+ protobuf==4.25.8
191
+ psutil==7.1.3
192
+ ptyprocess==0.7.0
193
+ pure_eval==0.2.3
194
+ py-cpuinfo==9.0.0
195
+ py-spy==0.4.1
196
+ pyarrow==22.0.0
197
+ pyasn1==0.6.1
198
+ pyasn1_modules==0.4.2
199
+ pybind11==3.0.1
200
+ pycountry==24.6.1
201
+ pycparser==2.23
202
+ pydantic==2.12.5
203
+ pydantic_core==2.41.5
204
+ pydantic-extra-types==2.10.6
205
+ pydantic-settings==2.12.0
206
+ pygame==2.6.1
207
+ Pygments==2.19.2
208
+ pyjnius==1.7.0
209
+ pylatexenc==2.10
210
+ pyparsing==3.2.5
211
+ pyserini==1.2.0
212
+ python-dateutil==2.9.0.post0
213
+ python-dotenv==1.2.1
214
+ python-json-logger==4.0.0
215
+ python-multipart==0.0.20
216
+ pytokens==0.3.0
217
+ pytz==2025.2
218
+ PyYAML==6.0.3
219
+ pyzmq==27.1.0
220
+ ragen==0.1
221
+ rank-bm25==0.2.2
222
+ RapidFuzz==3.14.3
223
+ ray==2.52.1
224
+ referencing==0.37.0
225
+ regex==2025.11.3
226
+ requests==2.32.5
227
+ rich==14.2.0
228
+ rich-toolkit==0.17.0
229
+ rignore==0.7.6
230
+ rpds-py==0.30.0
231
+ rsa==4.9.1
232
+ safetensors==0.7.0
233
+ scikit-learn==1.7.2
234
+ scipy==1.15.3
235
+ sentencepiece==0.2.1
236
+ sentry-sdk==2.46.0
237
+ setuptools==80.9.0
238
+ shellingham==1.5.4
239
+ six==1.17.0
240
+ smart_open==7.5.0
241
+ smmap==5.0.2
242
+ sniffio==1.3.1
243
+ soupsieve==2.8
244
+ spacy==3.8.11
245
+ spacy-legacy==3.0.12
246
+ spacy-loggers==1.0.5
247
+ srsly==2.5.2
248
+ sse-starlette==3.0.3
249
+ stack-data==0.6.3
250
+ starlette==0.50.0
251
+ sympy==1.13.1
252
+ tabulate==0.9.0
253
+ tenacity==9.1.2
254
+ tensorboard==2.20.0
255
+ tensorboard-data-server==0.7.2
256
+ tensordict==0.8.3
257
+ thefuzz==0.22.1
258
+ thinc==8.3.10
259
+ threadpoolctl==3.6.0
260
+ tiktoken==0.12.0
261
+ together==1.5.31
262
+ tokenizers==0.22.1
263
+ tomli==2.3.0
264
+ torch==2.6.0+cu124
265
+ torchaudio==2.6.0
266
+ torchdata==0.11.0
267
+ torchvision==0.21.0
268
+ tqdm==4.67.1
269
+ traitlets==5.14.3
270
+ transformers==4.57.3
271
+ triton==3.2.0
272
+ typer==0.19.2
273
+ typer-slim==0.20.0
274
+ typing_extensions==4.15.0
275
+ typing-inspection==0.4.2
276
+ tzdata==2025.2
277
+ urllib3==2.5.0
278
+ uvicorn==0.38.0
279
+ uvloop==0.22.1
280
+ verl==0.5.0.dev0
281
+ virtualenv==20.35.4
282
+ vllm==0.8.5
283
+ wandb==0.23.0
284
+ wasabi==1.1.3
285
+ watchfiles==1.1.1
286
+ wcwidth==0.2.14
287
+ weasel==0.4.3
288
+ websockets==15.0.1
289
+ Werkzeug==3.1.4
290
+ wheel==0.45.1
291
+ wrapt==2.0.1
292
+ xformers==0.0.29.post2
293
+ xgrammar==0.1.18
294
+ xxhash==3.6.0
295
+ yarl==1.22.0
296
+ zipp==3.23.0
297
+ verl==0.5.0.dev0
298
+ autocommand==2.2.2
299
+ backports.tarfile==1.2.0
300
+ importlib_metadata==8.0.0
301
+ inflect==7.3.1
302
+ jaraco.collections==5.1.0
303
+ jaraco.context==5.3.0
304
+ jaraco.functools==4.0.1
305
+ jaraco.text==3.12.1
306
+ more-itertools==10.3.0
307
+ packaging==24.2
308
+ platformdirs==4.2.2
309
+ tomli==2.0.1
310
+ typeguard==4.3.0
311
+ typing_extensions==4.12.2
312
+ wheel==0.45.1
313
+ zipp==3.19.2
wandb/run-20251231_003933-0gjqm37v/files/wandb-metadata.json ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
3
+ "python": "CPython 3.10.19",
4
+ "startedAt": "2025-12-30T16:39:33.791390Z",
5
+ "args": [
6
+ "--node-ip-address=10.119.18.43",
7
+ "--node-manager-port=39081",
8
+ "--object-store-name=/tmp/ray/session_2025-12-31_00-37-41_135186_4167385/sockets/plasma_store",
9
+ "--raylet-name=/tmp/ray/session_2025-12-31_00-37-41_135186_4167385/sockets/raylet",
10
+ "--redis-address=None",
11
+ "--metrics-agent-port=50276",
12
+ "--logging-rotate-bytes=536870912",
13
+ "--logging-rotate-backup-count=5",
14
+ "--runtime-env-agent-port=63313",
15
+ "--gcs-address=10.119.18.43:53773",
16
+ "--session-name=session_2025-12-31_00-37-41_135186_4167385",
17
+ "--temp-dir=/tmp/ray",
18
+ "--webui=127.0.0.1:8265",
19
+ "--cluster-id=0bd4bdd8ca56c2dfab8d3296a6bbb364e38553b1a5203b5973d92d85",
20
+ "--startup-token=112",
21
+ "--worker-launch-time-ms=1767112674786",
22
+ "--node-id=ec37c261931dba407688fa8df2a21d582b42e96a91e76360859fcde0",
23
+ "--runtime-env-hash=-839022692"
24
+ ],
25
+ "program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
26
+ "git": {
27
+ "remote": "https://github.com/mll-lab-nu/RAGEN.git",
28
+ "commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
29
+ },
30
+ "email": "haoyu-wa22@mails.tsinghua.edu.cn",
31
+ "root": "/mnt/general/wanghy/RAGEN",
32
+ "host": "pt-406ea8761c42406dad2caa395ab48b30-worker-0",
33
+ "executable": "/root/local/miniconda3/envs/ragen/bin/python",
34
+ "cpu_count": 64,
35
+ "cpu_count_logical": 128,
36
+ "gpu": "NVIDIA H100 80GB HBM3",
37
+ "gpu_count": 8,
38
+ "disk": {
39
+ "/": {
40
+ "total": "5153960755200",
41
+ "used": "20271943680"
42
+ }
43
+ },
44
+ "memory": {
45
+ "total": "2163639439360"
46
+ },
47
+ "gpu_nvidia": [
48
+ {
49
+ "name": "NVIDIA H100 80GB HBM3",
50
+ "memoryTotal": "85520809984",
51
+ "cudaCores": 16896,
52
+ "architecture": "Hopper",
53
+ "uuid": "GPU-29f0a856-a12b-1581-38b4-916e7346a784"
54
+ },
55
+ {
56
+ "name": "NVIDIA H100 80GB HBM3",
57
+ "memoryTotal": "85520809984",
58
+ "cudaCores": 16896,
59
+ "architecture": "Hopper",
60
+ "uuid": "GPU-9f667591-6d3e-2f82-2c9c-a104e9e60b79"
61
+ },
62
+ {
63
+ "name": "NVIDIA H100 80GB HBM3",
64
+ "memoryTotal": "85520809984",
65
+ "cudaCores": 16896,
66
+ "architecture": "Hopper",
67
+ "uuid": "GPU-d8fc696a-7966-9460-11b0-2821848dc36b"
68
+ },
69
+ {
70
+ "name": "NVIDIA H100 80GB HBM3",
71
+ "memoryTotal": "85520809984",
72
+ "cudaCores": 16896,
73
+ "architecture": "Hopper",
74
+ "uuid": "GPU-12ffe1cd-2198-13d1-a289-bd0bf044c903"
75
+ },
76
+ {
77
+ "name": "NVIDIA H100 80GB HBM3",
78
+ "memoryTotal": "85520809984",
79
+ "cudaCores": 16896,
80
+ "architecture": "Hopper",
81
+ "uuid": "GPU-389c1b72-63f4-56ca-1448-41f5efa2523b"
82
+ },
83
+ {
84
+ "name": "NVIDIA H100 80GB HBM3",
85
+ "memoryTotal": "85520809984",
86
+ "cudaCores": 16896,
87
+ "architecture": "Hopper",
88
+ "uuid": "GPU-2a50af47-eb6a-6d96-fe56-d7caa8a2e460"
89
+ },
90
+ {
91
+ "name": "NVIDIA H100 80GB HBM3",
92
+ "memoryTotal": "85520809984",
93
+ "cudaCores": 16896,
94
+ "architecture": "Hopper",
95
+ "uuid": "GPU-1d0e7ab5-cf51-ca66-bf6f-e72dc425f9f8"
96
+ },
97
+ {
98
+ "name": "NVIDIA H100 80GB HBM3",
99
+ "memoryTotal": "85520809984",
100
+ "cudaCores": 16896,
101
+ "architecture": "Hopper",
102
+ "uuid": "GPU-9299dcdf-eee5-9434-0ab3-25c9e4f53eed"
103
+ }
104
+ ],
105
+ "cudaVersion": "13.0",
106
+ "writerId": "icplkjlhxpq6pzykpfuei848fqopjwt0"
107
+ }
wandb/run-20251231_003933-0gjqm37v/files/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"timing_per_token_ms/adv":0.002306230039467103,"critic/vf_explained_var":0.2830849289894104,"global_seqlen/minmax_diff":9179,"val-env/SimpleSudoku/non-zero/cells_remaining":2.1942039380401055,"train/SimpleSudoku/valid_numbers":0,"perf/throughput":141.7433241581995,"val-env/SimpleSudoku/non-zero/action_is_effective":0.8725092736868931,"val-aux/unknown/reward/best@256/std":0.4190722786968214,"train/SimpleSudoku/action_is_valid":0.831078079906205,"global_seqlen/balanced_min":9005,"train/response_length":168.3125,"val-aux/unknown/reward/best@16/std":0.41021164366257457,"timing_s/gen":9.701716237002984,"response_length_non_aborted/mean":2388.28125,"val-env/SimpleSudoku/action_is_effective":0.8725092736868931,"global_seqlen/balanced_max":10928,"val-env/SimpleSudoku/non-zero/steps_remaining":13.958058086470311,"timing_s/step":67.39823590801097,"timing_s/old_log_prob":0.4712971220142208,"val-core/unknown/reward/best@512/mean":17.480200256347658,"val-aux/unknown/reward/best@4/mean":16.10539996242523,"actor/pg_clipfrac":0,"_timestamp":1.7671165314299772e+09,"critic/score/min":3.5,"critic/returns/max":16.399999618530273,"timing_per_token_ms/values":0.004958155457831135,"val-aux/unknown/reward/worst@128/std":1.36593993762849,"val-aux/unknown/reward/best@8/mean":16.208599977493286,"critic/grad_norm":75.93338012695312,"global_seqlen/mean":9553.25,"_wandb":{"runtime":3756},"timing_s/values":0.3789319890202023,"val-aux/unknown/reward/worst@16/mean":8.013399994254112,"val-env/SimpleSudoku/action_is_valid":0.8725092736868931,"rollout/chosen_in_group_reward_mean":12.387499809265137,"actor/lr":1e-06,"val-aux/unknown/reward/worst@512/std":1.3009721760929354,"val-env/SimpleSudoku/raw_reward":0,"val-env/SimpleSudoku/non-zero/correct_placement":0.861100262501782,"timing_s/update_actor":1.7953910480136983,"response_length/min":1283,"val-aux/unknown/reward/best@8/std":0.3442761197690917,"val-aux/unknown/reward/best@2/std":0.8392656601863182,"train/SimpleSudoku/episodic_return":0,"rollout/in_group_reward_max":16.112499237060547,"_runtime":3756.475609665,"timing_s/total":3706.8029062747955,"val-aux/unknown/reward/best@4/std":0.2681246769498869,"val-env/SimpleSudoku/steps_remaining":13.958058086470311,"train/SimpleSudoku/non-zero/success":1,"val-aux/unknown/reward/worst@512/mean":-0.4055999855995178,"val-aux/unknown/reward/worst@128/mean":1.0201999938488007,"prompt_length/mean":0.03125,"train/SimpleSudoku/non-zero/cells_remaining":2.0954918887536076,"response_length/mean":2388.28125,"critic/vpred_mean":12.784394025802612,"actor/ppo_kl":0,"val-aux/unknown/reward/worst@4/mean":12.903199881970883,"critic/advantages/max":2.298290729522705,"rollout/in_group_std":0.8862534761428833,"actor/pg_clipfrac_lower":0,"train/SimpleSudoku/correct_placement":0.8260340570887446,"critic/advantages/min":-1.7141625881195068,"val-env/SimpleSudoku/episodic_return":0,"timing_per_token_ms/update_critic":0.021601619161148024,"train/SimpleSudoku/non-zero/cells_filled":11.201757389745673,"val-env/SimpleSudoku/cells_remaining":2.1942039380401055,"train/SimpleSudoku/action_is_effective":0.831078079906205,"rollout/chosen_in_group_mean":12.387499809265137,"val-aux/unknown/reward/worst@8/mean":10.889099946916103,"val-env/SimpleSudoku/num_actions":7.60546875,"rollout/in_group_mean":15.04140567779541,"critic/lr":1e-05,"critic/returns/min":3.5,"timing_s/testing":21.735773380991304,"rollout/in_group_reward_std":0.8862534761428833,"prompt_length/max":1,"response_length_non_aborted/clip_ratio":0.03125,"critic/values/max":15.3125,"train/charts/avg_episode_return":0,"critic/vf_loss":4.122583419084549,"critic/rewards/min":3.5,"train/SimpleSudoku/raw_reward":0,"val-env/SimpleSudoku/non-zero/cells_filled":11.765944440950186,"rollout/chosen_in_group_reward_std":3.231407403945923,"timing_s/ref":0.5369295359996613,"val-env/SimpleSudoku/correct_placement":0.8594184260515831,"val-aux/unknown/reward/worst@256/mean":0.36330000346899033,"train/SimpleSudoku/error":0,"val-aux/unknown/reward/best@16/mean":16.376199968338014,"val-env/SimpleSudoku/non-zero/success":1,"rollout/chosen_in_group_reward_max":16.200000762939453,"critic/values/mean":12.511685371398926,"actor/entropy":0.041042231023311615,"val-env/SimpleSudoku/valid_numbers":0,"val-aux/unknown/reward/worst@64/std":3.206143475703435,"val-aux/unknown/reward/worst@32/std":5.282407108877673,"val-aux/unknown/reward/worst@2/mean":14.415699870646,"val-aux/unknown/reward/best@128/mean":16.991800117492676,"val-aux/unknown/reward/worst@8/std":6.395632161679079,"val-env/SimpleSudoku/error":0,"val-aux/unknown/reward/best@64/mean":16.76720004463196,"train/SimpleSudoku/pass@16":1,"train/SimpleSudoku/cells_filled":11.201757389745673,"val-aux/unknown/reward/best@2/mean":15.985399917840958,"val-aux/unknown/reward/worst@16/std":6.6180390202204675,"val-aux/unknown/reward/worst@64/mean":2.245099989056587,"val-aux/unknown/reward/worst@2/std":4.185606662866245,"perf/cpu_memory_used_gb":122.40428924560547,"critic/advantages/mean":-5.417615511760232e-08,"val-aux/unknown/reward/best@128/std":0.48207140096345286,"val-env/SimpleSudoku/non-zero/num_actions":7.60546875,"timing_per_token_ms/update_actor":0.023491888205763724,"actor/pg_loss":0.014551147818565369,"timing_s/save_checkpoint":30.948065726988716,"train/SimpleSudoku/non-zero/steps_remaining":13.311538515737734,"global_seqlen/min":6011,"val-env/SimpleSudoku/pass@16":1,"critic/score/mean":12.387499809265137,"critic/returns/mean":9.755558013916016,"val-env/SimpleSudoku/non-zero/action_is_valid":0.8725092736868931,"perf/max_memory_allocated_gb":72.6956090927124,"train/SimpleSudoku/success":0.9296875,"_step":200,"val-aux/unknown/reward/worst@4/std":5.541536709848993,"val-env/SimpleSudoku/non-zero/pass@16":1,"timing_s/adv":0.1762559369963128,"timing_per_token_ms/gen":0.1269442752633691,"train/SimpleSudoku/non-zero/correct_placement":0.8260340570887446,"rollout/chosen_in_group_max":16.200000762939453,"perf/mfu/critic":0.13651413809016852,"val-env/SimpleSudoku/success":0.94921875,"train/SimpleSudoku/non-zero/action_is_valid":0.831078079906205,"critic/rewards/max":16.399999618530273,"val-aux/unknown/reward/worst@256/std":1.444895516681439,"prompt_length/clip_ratio":0.03125,"response/aborted_ratio":0,"val-env/SimpleSudoku/cells_filled":11.765944440950186,"val-aux/unknown/reward/std@512":2.8677920804747608,"perf/total_num_tokens":76426,"response_length/max":4146,"critic/rewards/mean":12.387499809265137,"val-aux/unknown/reward/best@64/std":0.45162400542222236,"prompt_length/min":0,"val-core/unknown/reward/mean@512":15.311132711940445,"perf/max_memory_reserved_gb":75.94140625,"critic/score/max":16.399999618530273,"rollout/chosen_in_group_std":3.231407403945923,"val/generations":{"artifact_path":"wandb-client-artifact://d8w5psmp6hmmqwcbrcs8ktd32x5a7c3drk1g2anrevp0d3bggg3wigl3zm8140g6yiuakjhemeqjpu1ixe77nkowicmsy1bna6sad5unwy33dmapn0k57typ8xswno36/val/generations.table.json","ncols":61,"log_mode":"IMMUTABLE","size":2798331,"sha256":"459c134f9318dd89db6293ce385b9e0994626b4269185752e2b299c615fa444a","_latest_artifact_path":"wandb-client-artifact://knh0crg9atbylhuadwapntnc1nn9qyme6hu4qufz40iewqqulkebtvgoay137fz2e3xh5fxba20gin2ylb553khsz4518cbqmny33omb4wjla4ywzi3w1s8ygvfqr1ur:latest/val/generations.table.json","path":"media/table/val/generations_199_459c134f9318dd89db62.table.json","nrows":21,"_type":"table-file"},"train/SimpleSudoku/num_actions":8.0625,"rollout/ref_log_prob":-0.30184274911880493,"train/SimpleSudoku/cells_remaining":2.0954918887536076,"train/SimpleSudoku/non-zero/num_actions":8.0625,"actor/grad_norm":0.996609091758728,"perf/mfu/actor":0.12538403230995213,"val-aux/unknown/reward/worst@32/mean":4.478899992704392,"timing_s/update_critic":1.650925346009899,"val-core/unknown/reward/best@512/std":0.25909071339939505,"val-env/response_length":158.71484375,"rollout/in_group_reward_mean":15.04140567779541,"train/SimpleSudoku/non-zero/pass@16":1,"train/SimpleSudoku/non-zero/action_is_effective":0.831078079906205,"critic/values/min":5,"response_length_non_aborted/max":4146,"val-aux/unknown/reward/best@32/std":0.43221889861525536,"val-aux/unknown/reward/best@32/mean":16.586699995040895,"critic/vf_clipfrac":0,"response_length/clip_ratio":0.03125,"rollout/in_group_max":16.112499237060547,"perf/time_per_step":67.39823590801097,"global_seqlen/max":15190,"val-env/charts/avg_episode_return":0,"val-aux/unknown/reward/best@256/mean":17.279300184249877,"timing_per_token_ms/ref":0.007025482636794564,"response_length_non_aborted/min":1283,"train/SimpleSudoku/steps_remaining":13.311538515737734}
wandb/run-20251231_195154-5kmh5x23/files/config.yaml ADDED
@@ -0,0 +1,964 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ _wandb:
2
+ value:
3
+ cli_version: 0.23.0
4
+ e:
5
+ xu65g2opy9vneojy7cl6ohuk6mhdjl1v:
6
+ args:
7
+ - --node-ip-address=10.119.18.43
8
+ - --node-manager-port=38469
9
+ - --object-store-name=/tmp/ray/session_2025-12-31_19-50-06_277060_84839/sockets/plasma_store
10
+ - --raylet-name=/tmp/ray/session_2025-12-31_19-50-06_277060_84839/sockets/raylet
11
+ - --redis-address=None
12
+ - --metrics-agent-port=60335
13
+ - --logging-rotate-bytes=536870912
14
+ - --logging-rotate-backup-count=5
15
+ - --runtime-env-agent-port=60117
16
+ - --gcs-address=10.119.18.43:53103
17
+ - --session-name=session_2025-12-31_19-50-06_277060_84839
18
+ - --temp-dir=/tmp/ray
19
+ - --webui=127.0.0.1:8265
20
+ - --cluster-id=d7ec674a00ad3c8afa17c149a5393ab57f86562fe070d321f16e3629
21
+ - --startup-token=112
22
+ - --worker-launch-time-ms=1767181819427
23
+ - --node-id=9df32311411592cb463d5f5345397c337fb29a2480f297a74813f16f
24
+ - --runtime-env-hash=-839022692
25
+ cpu_count: 64
26
+ cpu_count_logical: 128
27
+ cudaVersion: "13.0"
28
+ disk:
29
+ /:
30
+ total: "5153960755200"
31
+ used: "26494070784"
32
+ email: haoyu-wa22@mails.tsinghua.edu.cn
33
+ executable: /root/local/miniconda3/envs/ragen/bin/python
34
+ git:
35
+ commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
36
+ remote: https://github.com/mll-lab-nu/RAGEN.git
37
+ gpu: NVIDIA H100 80GB HBM3
38
+ gpu_count: 8
39
+ gpu_nvidia:
40
+ - architecture: Hopper
41
+ cudaCores: 16896
42
+ memoryTotal: "85520809984"
43
+ name: NVIDIA H100 80GB HBM3
44
+ uuid: GPU-29f0a856-a12b-1581-38b4-916e7346a784
45
+ - architecture: Hopper
46
+ cudaCores: 16896
47
+ memoryTotal: "85520809984"
48
+ name: NVIDIA H100 80GB HBM3
49
+ uuid: GPU-9f667591-6d3e-2f82-2c9c-a104e9e60b79
50
+ - architecture: Hopper
51
+ cudaCores: 16896
52
+ memoryTotal: "85520809984"
53
+ name: NVIDIA H100 80GB HBM3
54
+ uuid: GPU-d8fc696a-7966-9460-11b0-2821848dc36b
55
+ - architecture: Hopper
56
+ cudaCores: 16896
57
+ memoryTotal: "85520809984"
58
+ name: NVIDIA H100 80GB HBM3
59
+ uuid: GPU-12ffe1cd-2198-13d1-a289-bd0bf044c903
60
+ - architecture: Hopper
61
+ cudaCores: 16896
62
+ memoryTotal: "85520809984"
63
+ name: NVIDIA H100 80GB HBM3
64
+ uuid: GPU-389c1b72-63f4-56ca-1448-41f5efa2523b
65
+ - architecture: Hopper
66
+ cudaCores: 16896
67
+ memoryTotal: "85520809984"
68
+ name: NVIDIA H100 80GB HBM3
69
+ uuid: GPU-2a50af47-eb6a-6d96-fe56-d7caa8a2e460
70
+ - architecture: Hopper
71
+ cudaCores: 16896
72
+ memoryTotal: "85520809984"
73
+ name: NVIDIA H100 80GB HBM3
74
+ uuid: GPU-1d0e7ab5-cf51-ca66-bf6f-e72dc425f9f8
75
+ - architecture: Hopper
76
+ cudaCores: 16896
77
+ memoryTotal: "85520809984"
78
+ name: NVIDIA H100 80GB HBM3
79
+ uuid: GPU-9299dcdf-eee5-9434-0ab3-25c9e4f53eed
80
+ host: pt-406ea8761c42406dad2caa395ab48b30-worker-0
81
+ memory:
82
+ total: "2163639439360"
83
+ os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
84
+ program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
85
+ python: CPython 3.10.19
86
+ root: /mnt/general/wanghy/RAGEN
87
+ startedAt: "2025-12-31T11:51:54.298274Z"
88
+ writerId: xu65g2opy9vneojy7cl6ohuk6mhdjl1v
89
+ m: []
90
+ python_version: 3.10.19
91
+ t:
92
+ "1":
93
+ - 1
94
+ - 5
95
+ - 11
96
+ - 30
97
+ - 41
98
+ - 49
99
+ - 50
100
+ - 51
101
+ - 53
102
+ - 71
103
+ - 95
104
+ - 97
105
+ - 98
106
+ - 105
107
+ "2":
108
+ - 1
109
+ - 5
110
+ - 11
111
+ - 30
112
+ - 41
113
+ - 49
114
+ - 50
115
+ - 51
116
+ - 53
117
+ - 71
118
+ - 95
119
+ - 97
120
+ - 98
121
+ - 105
122
+ "3":
123
+ - 2
124
+ - 13
125
+ - 16
126
+ - 61
127
+ "4": 3.10.19
128
+ "5": 0.23.0
129
+ "6": 4.57.3
130
+ "12": 0.23.0
131
+ "13": linux-x86_64
132
+ actor_rollout_ref:
133
+ value:
134
+ actor:
135
+ _target_: verl.workers.config.FSDPActorConfig
136
+ checkpoint:
137
+ _target_: verl.trainer.config.CheckpointConfig
138
+ async_save: false
139
+ load_contents:
140
+ - model
141
+ - optimizer
142
+ - extra
143
+ save_contents:
144
+ - model
145
+ - optimizer
146
+ - extra
147
+ clip_ratio: 0.2
148
+ clip_ratio_c: 3
149
+ clip_ratio_high: 0.28
150
+ clip_ratio_low: 0.2
151
+ entropy_checkpointing: false
152
+ entropy_coeff: 0.001
153
+ entropy_from_logits_with_chunking: false
154
+ freeze_vision_tower: false
155
+ fsdp_config:
156
+ _target_: verl.workers.config.FSDPEngineConfig
157
+ entropy_checkpointing: false
158
+ entropy_from_logits_with_chunking: false
159
+ forward_only: false
160
+ forward_prefetch: false
161
+ fsdp_size: -1
162
+ model_dtype: fp32
163
+ offload_policy: false
164
+ optimizer_offload: false
165
+ param_offload: false
166
+ reshard_after_forward: true
167
+ strategy: fsdp
168
+ ulysses_sequence_parallel_size: 1
169
+ use_orig_params: false
170
+ use_torch_compile: true
171
+ wrap_policy:
172
+ min_num_params: 0
173
+ grad_clip: 1
174
+ grpo_advantage_length_weight: false
175
+ kl_loss_coef: 0
176
+ kl_loss_type: kl
177
+ loss_agg_mode: token-mean
178
+ optim:
179
+ _target_: verl.workers.config.FSDPOptimizerConfig
180
+ betas:
181
+ - 0.9
182
+ - 0.999
183
+ clip_grad: 1
184
+ lr: 1e-06
185
+ lr_warmup_steps: -1
186
+ lr_warmup_steps_ratio: 0
187
+ min_lr_ratio: 0
188
+ num_cycles: 0.5
189
+ total_training_steps: 100
190
+ warmup_style: constant
191
+ weight_decay: 0.01
192
+ policy_loss:
193
+ _target_: verl.workers.config.PolicyLossConfig
194
+ clip_cov_lb: 1
195
+ clip_cov_ratio: 0.0002
196
+ clip_cov_ub: 5
197
+ kl_cov_ratio: 0.0002
198
+ loss_mode: vanilla
199
+ ppo_kl_coef: 0.1
200
+ ppo_epochs: 1
201
+ ppo_max_token_len_per_gpu: 16384
202
+ ppo_micro_batch_size: null
203
+ ppo_micro_batch_size_per_gpu: 1
204
+ ppo_mini_batch_size: 32
205
+ profiler:
206
+ _target_: verl.utils.profiler.ProfilerConfig
207
+ all_ranks: false
208
+ enable: false
209
+ ranks: []
210
+ save_path: outputs/profile
211
+ tool: null
212
+ tool_config:
213
+ npu:
214
+ _target_: verl.utils.profiler.config.NPUToolConfig
215
+ analysis: true
216
+ contents: []
217
+ discrete: false
218
+ level: level1
219
+ nsys:
220
+ _target_: verl.utils.profiler.config.NsightToolConfig
221
+ discrete: false
222
+ torch:
223
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
224
+ step_end: null
225
+ step_start: 0
226
+ torch_memory:
227
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
228
+ stack_depth: 32
229
+ trace_alloc_max_entries: 100000
230
+ shuffle: false
231
+ strategy: fsdp
232
+ tis_imp_ratio_cap: -1
233
+ ulysses_sequence_parallel_size: 1
234
+ use_dynamic_bsz: false
235
+ use_fused_kernels: false
236
+ use_kl_loss: false
237
+ use_ref: true
238
+ use_remove_padding: false
239
+ use_torch_compile: true
240
+ hybrid_engine: true
241
+ model:
242
+ _target_: verl.workers.config.HFModelConfig
243
+ custom_chat_template: null
244
+ enable_activation_offload: false
245
+ enable_gradient_checkpointing: true
246
+ exclude_modules: null
247
+ external_lib: null
248
+ fused_kernel_options:
249
+ impl_backend: torch
250
+ hf_config_path: null
251
+ lora_alpha: 16
252
+ lora_rank: 0
253
+ path: /mnt/general/wanghy/LLaMA-Factory/saves/qwen3/full/sft/qwen2.5_3B_it_multitask_1231
254
+ target_modules: all-linear
255
+ tokenizer_path: null
256
+ torch_dtype: bfloat16
257
+ trust_remote_code: false
258
+ use_fused_kernels: false
259
+ use_liger: false
260
+ use_remove_padding: false
261
+ use_shm: false
262
+ nccl_timeout: 600
263
+ ref:
264
+ entropy_checkpointing: false
265
+ entropy_from_logits_with_chunking: false
266
+ fsdp_config:
267
+ _target_: verl.workers.config.FSDPEngineConfig
268
+ entropy_checkpointing: false
269
+ entropy_from_logits_with_chunking: false
270
+ forward_only: false
271
+ forward_prefetch: false
272
+ fsdp_size: -1
273
+ model_dtype: fp32
274
+ offload_policy: false
275
+ optimizer_offload: false
276
+ param_offload: false
277
+ reshard_after_forward: true
278
+ strategy: fsdp
279
+ ulysses_sequence_parallel_size: 1
280
+ use_orig_params: false
281
+ use_torch_compile: true
282
+ wrap_policy:
283
+ min_num_params: 0
284
+ log_prob_max_token_len_per_gpu: 16384
285
+ log_prob_micro_batch_size: null
286
+ log_prob_micro_batch_size_per_gpu: 1
287
+ log_prob_use_dynamic_bsz: false
288
+ model: null
289
+ profiler:
290
+ _target_: verl.utils.profiler.ProfilerConfig
291
+ all_ranks: false
292
+ enable: false
293
+ ranks: []
294
+ save_path: outputs/profile
295
+ tool: null
296
+ tool_config:
297
+ npu:
298
+ _target_: verl.utils.profiler.config.NPUToolConfig
299
+ analysis: true
300
+ contents: []
301
+ discrete: false
302
+ level: level1
303
+ nsys:
304
+ _target_: verl.utils.profiler.config.NsightToolConfig
305
+ discrete: false
306
+ torch:
307
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
308
+ step_end: null
309
+ step_start: 0
310
+ torch_memory:
311
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
312
+ stack_depth: 32
313
+ trace_alloc_max_entries: 100000
314
+ strategy: fsdp
315
+ ulysses_sequence_parallel_size: 1
316
+ use_torch_compile: true
317
+ rollout:
318
+ _target_: verl.workers.config.RolloutConfig
319
+ agent:
320
+ _target_: verl.workers.config.AgentLoopConfig
321
+ agent_loop_config_path: null
322
+ custom_async_server:
323
+ _target_: verl.workers.config.CustomAsyncServerConfig
324
+ name: null
325
+ path: null
326
+ num_workers: 8
327
+ calculate_log_probs: false
328
+ cudagraph_capture_sizes: null
329
+ data_parallel_size: 1
330
+ disable_log_stats: true
331
+ do_sample: true
332
+ dtype: bfloat16
333
+ enable_chunked_prefill: true
334
+ enable_prefix_caching: true
335
+ enforce_eager: true
336
+ expert_parallel_size: 1
337
+ free_cache_engine: true
338
+ gpu_memory_utilization: 0.7
339
+ ignore_eos: false
340
+ layered_summon: false
341
+ load_format: dummy
342
+ log_prob_max_token_len_per_gpu: 16384
343
+ log_prob_micro_batch_size: null
344
+ log_prob_micro_batch_size_per_gpu: 1
345
+ log_prob_use_dynamic_bsz: false
346
+ max_model_len: 16384
347
+ max_num_batched_tokens: 16384
348
+ max_num_seqs: 1024
349
+ mode: sync
350
+ multi_stage_wake_up: false
351
+ multi_turn:
352
+ _target_: verl.workers.config.MultiTurnConfig
353
+ enable: false
354
+ format: hermes
355
+ interaction_config_path: null
356
+ max_assistant_turns: null
357
+ max_parallel_calls: 1
358
+ max_tool_response_length: 256
359
+ max_user_turns: null
360
+ num_repeat_rollouts: null
361
+ tokenization_sanity_check_mode: strict
362
+ tool_config_path: null
363
+ tool_response_truncate_side: middle
364
+ use_inference_chat_template: false
365
+ "n": 1
366
+ name: vllm
367
+ over_sample_rate: 0
368
+ profiler:
369
+ _target_: verl.utils.profiler.ProfilerConfig
370
+ all_ranks: false
371
+ enable: false
372
+ ranks: []
373
+ save_path: outputs/profile
374
+ tool: null
375
+ tool_config:
376
+ npu:
377
+ _target_: verl.utils.profiler.config.NPUToolConfig
378
+ analysis: true
379
+ contents: []
380
+ discrete: false
381
+ level: level1
382
+ nsys:
383
+ _target_: verl.utils.profiler.config.NsightToolConfig
384
+ discrete: false
385
+ torch:
386
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
387
+ step_end: null
388
+ step_start: 0
389
+ torch_memory:
390
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
391
+ stack_depth: 32
392
+ trace_alloc_max_entries: 100000
393
+ prompt_length: 1
394
+ response_length: 500
395
+ rollout_filter_metric: reward_variance
396
+ rollout_filter_ratio: 0.25
397
+ rollout_filter_type: largest
398
+ skip_dump_dir: /tmp/rollout_dump
399
+ skip_rollout: false
400
+ skip_tokenizer_init: true
401
+ temperature: 1
402
+ tensor_model_parallel_size: 1
403
+ top_k: -1
404
+ top_p: 1
405
+ trace:
406
+ _target_: verl.workers.config.TraceConfig
407
+ backend: null
408
+ token2text: false
409
+ update_weights_bucket_megabytes: 512
410
+ val_kwargs:
411
+ _target_: verl.workers.config.SamplingConfig
412
+ do_sample: true
413
+ "n": 1
414
+ temperature: 0.5
415
+ top_k: -1
416
+ top_p: 1
417
+ agent_proxy:
418
+ value:
419
+ action_sep: '||'
420
+ enable_think: true
421
+ max_actions_per_turn: 1
422
+ max_context_window: -1
423
+ max_turn: 1
424
+ reward_normalization:
425
+ grouping: state
426
+ method: identity
427
+ use_turn_scores: false
428
+ algorithm:
429
+ value:
430
+ _target_: verl.trainer.config.AlgoConfig
431
+ adv_estimator: gae
432
+ bi_level_gae: false
433
+ gamma: 1
434
+ high_level_gamma: 0.95
435
+ kl_ctrl:
436
+ _target_: verl.trainer.config.KLControlConfig
437
+ horizon: 10000
438
+ kl_coef: 0
439
+ target_kl: 0.1
440
+ type: fixed
441
+ kl_penalty: kl
442
+ lam: 1
443
+ norm_adv_by_std_in_grpo: true
444
+ pf_ppo:
445
+ reweight_method: pow
446
+ weight_pow: 2
447
+ use_kl_in_reward: false
448
+ use_pf_ppo: false
449
+ critic:
450
+ value:
451
+ _target_: verl.workers.config.FSDPCriticConfig
452
+ checkpoint:
453
+ _target_: verl.trainer.config.CheckpointConfig
454
+ async_save: false
455
+ load_contents:
456
+ - model
457
+ - optimizer
458
+ - extra
459
+ save_contents:
460
+ - model
461
+ - optimizer
462
+ - extra
463
+ cliprange_value: 0.5
464
+ enable: null
465
+ forward_max_token_len_per_gpu: 32768
466
+ forward_micro_batch_size: null
467
+ forward_micro_batch_size_per_gpu: 1
468
+ grad_clip: 1
469
+ loss_agg_mode: token-mean
470
+ model:
471
+ _target_: verl.workers.config.FSDPCriticModelCfg
472
+ enable_activation_offload: false
473
+ enable_gradient_checkpointing: true
474
+ external_lib: null
475
+ fsdp_config:
476
+ _target_: verl.workers.config.FSDPEngineConfig
477
+ entropy_checkpointing: false
478
+ entropy_from_logits_with_chunking: false
479
+ forward_only: false
480
+ forward_prefetch: false
481
+ fsdp_size: -1
482
+ model_dtype: fp32
483
+ offload_policy: false
484
+ optimizer_offload: false
485
+ param_offload: false
486
+ reshard_after_forward: true
487
+ strategy: fsdp
488
+ ulysses_sequence_parallel_size: 1
489
+ use_orig_params: false
490
+ use_torch_compile: true
491
+ wrap_policy:
492
+ min_num_params: 0
493
+ lora_alpha: 16
494
+ lora_rank: 0
495
+ path: /mnt/general/wanghy/LLaMA-Factory/saves/qwen3/full/sft/qwen2.5_3B_it_multitask_1231
496
+ target_modules: all-linear
497
+ tokenizer_path: /mnt/general/wanghy/LLaMA-Factory/saves/qwen3/full/sft/qwen2.5_3B_it_multitask_1231
498
+ trust_remote_code: false
499
+ use_remove_padding: false
500
+ use_shm: false
501
+ optim:
502
+ _target_: verl.workers.config.FSDPOptimizerConfig
503
+ betas:
504
+ - 0.9
505
+ - 0.999
506
+ clip_grad: 1
507
+ lr: 1e-05
508
+ lr_warmup_steps: -1
509
+ lr_warmup_steps_ratio: 0
510
+ min_lr_ratio: 0
511
+ num_cycles: 0.5
512
+ total_training_steps: 100
513
+ warmup_style: constant
514
+ weight_decay: 0.01
515
+ ppo_epochs: 1
516
+ ppo_max_token_len_per_gpu: 32768
517
+ ppo_micro_batch_size: null
518
+ ppo_micro_batch_size_per_gpu: 1
519
+ ppo_mini_batch_size: 32
520
+ profiler:
521
+ _target_: verl.utils.profiler.ProfilerConfig
522
+ all_ranks: false
523
+ enable: false
524
+ ranks: []
525
+ save_path: outputs/profile
526
+ tool: null
527
+ tool_config:
528
+ npu:
529
+ _target_: verl.utils.profiler.config.NPUToolConfig
530
+ analysis: true
531
+ contents: []
532
+ discrete: false
533
+ level: level1
534
+ nsys:
535
+ _target_: verl.utils.profiler.config.NsightToolConfig
536
+ discrete: false
537
+ torch:
538
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
539
+ step_end: null
540
+ step_start: 0
541
+ torch_memory:
542
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
543
+ stack_depth: 32
544
+ trace_alloc_max_entries: 100000
545
+ rollout_n: 1
546
+ shuffle: false
547
+ strategy: fsdp
548
+ ulysses_sequence_parallel_size: 1
549
+ use_dynamic_bsz: false
550
+ ctx_manager:
551
+ value:
552
+ generation:
553
+ gen_config:
554
+ kwargs: null
555
+ response_length: 500
556
+ temperature: 1
557
+ top_k: -1
558
+ top_p: 1
559
+ custom_envs:
560
+ value:
561
+ Bandit:
562
+ env_config:
563
+ split: train
564
+ env_instruction: ""
565
+ env_type: bandit
566
+ max_actions_per_traj: 1
567
+ max_tokens: 100
568
+ BanditTest:
569
+ env_config:
570
+ split: test
571
+ env_instruction: ""
572
+ env_type: bandit
573
+ max_actions_per_traj: 1
574
+ max_tokens: 100
575
+ CoordFrozenLake:
576
+ env_config:
577
+ observation_format: grid_coord
578
+ env_instruction: |
579
+ You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
580
+ Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
581
+ Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
582
+ Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
583
+ env_type: frozen_lake
584
+ max_actions_per_traj: 25
585
+ max_tokens: 120
586
+ CoordSokoban:
587
+ env_config:
588
+ dim_x: 6
589
+ dim_y: 6
590
+ max_steps: 100
591
+ num_boxes: 1
592
+ observation_format: grid_coord
593
+ env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
594
+ env_type: sokoban
595
+ max_actions_per_traj: 10
596
+ max_tokens: 120
597
+ Countdown:
598
+ env_config: null
599
+ env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
600
+ env_type: countdown
601
+ max_actions_per_traj: 1
602
+ max_tokens: 100
603
+ FrozenLake:
604
+ env_config: null
605
+ env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
606
+ env_type: frozen_lake
607
+ max_actions_per_traj: 25
608
+ max_tokens: 100
609
+ LargerSokoban:
610
+ env_config:
611
+ dim_x: 8
612
+ dim_y: 8
613
+ max_steps: 100
614
+ num_boxes: 2
615
+ search_depth: 10
616
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
617
+ env_type: sokoban
618
+ max_actions_per_traj: 10
619
+ max_tokens: 100
620
+ Lean:
621
+ env_config: null
622
+ env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
623
+ env_type: lean
624
+ max_actions_per_traj: 30
625
+ max_tokens: 512
626
+ MediumSudoku:
627
+ env_config:
628
+ difficulty: medium
629
+ grid_size: 9
630
+ max_steps: 81
631
+ render_format: with_feedback
632
+ show_conflicts: true
633
+ show_valid_numbers: true
634
+ env_instruction: |
635
+ You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
636
+ Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
637
+ Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
638
+ The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
639
+ env_type: sudoku
640
+ max_actions_per_traj: 30
641
+ max_tokens: 150
642
+ max_workers: 32
643
+ parallel_friendly: false
644
+ MetamathQA:
645
+ env_config: null
646
+ env_instruction: 'You are solving Math problems. '
647
+ env_type: metamathqa
648
+ max_actions_per_traj: 1
649
+ max_tokens: 100
650
+ SimpleSokoban:
651
+ env_config:
652
+ dim_x: 6
653
+ dim_y: 6
654
+ max_steps: 100
655
+ num_boxes: 2
656
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
657
+ env_type: sokoban
658
+ max_actions_per_traj: 10
659
+ max_tokens: 100
660
+ SimpleSudoku:
661
+ env_config:
662
+ difficulty: easy
663
+ grid_size: 4
664
+ max_steps: 20
665
+ render_format: with_feedback
666
+ show_conflicts: false
667
+ show_valid_numbers: false
668
+ env_instruction: |
669
+ You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
670
+ Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
671
+ Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
672
+ The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
673
+ env_type: sudoku
674
+ max_actions_per_traj: 20
675
+ max_tokens: 150
676
+ max_workers: 32
677
+ parallel_friendly: false
678
+ SokobanDifferentGridVocab:
679
+ env_config:
680
+ dim_x: 6
681
+ dim_y: 6
682
+ grid_lookup:
683
+ "0": W
684
+ "1": .
685
+ "2": G
686
+ "3": C
687
+ "4": B
688
+ "5": A
689
+ "6": '@'
690
+ grid_vocab:
691
+ .: empty
692
+ '@': player on target
693
+ A: player
694
+ B: box
695
+ C: box on target
696
+ G: target
697
+ W: wall
698
+ max_steps: 100
699
+ num_boxes: 1
700
+ search_depth: 30
701
+ env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
702
+ env_type: sokoban
703
+ max_actions_per_traj: 10
704
+ max_tokens: 100
705
+ VisualSimpleSokoban:
706
+ env_config:
707
+ dim_x: 6
708
+ dim_y: 6
709
+ max_steps: 100
710
+ num_boxes: 1
711
+ render_mode: rgb_array
712
+ env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
713
+ env_type: sokoban
714
+ max_actions_per_traj: 10
715
+ max_tokens: 100
716
+ WebShop:
717
+ env_config:
718
+ dataset: small
719
+ env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later. Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
720
+ env_type: webshop
721
+ max_actions_per_traj: 9
722
+ max_tokens: 200
723
+ blackjack:
724
+ env_config: null
725
+ env_instruction: |
726
+ You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
727
+ Choose either Stick or Hit. Respond with a single action.
728
+ Example: <answer>Hit</answer>
729
+ env_type: blackjack
730
+ max_actions_per_traj: 10
731
+ max_tokens: 64
732
+ game_2048:
733
+ env_config: null
734
+ env_instruction: |
735
+ You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
736
+ If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
737
+ Example: <answer>Up</answer>
738
+ env_type: game_2048
739
+ max_actions_per_traj: 700
740
+ max_tokens: 8192
741
+ rubikscube:
742
+ env_config:
743
+ max_steps: 20
744
+ render_mode: text
745
+ scramble_depth: 2
746
+ env_instruction: |
747
+ You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
748
+ Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
749
+ - Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
750
+ - Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
751
+ Respond with a sequence of actions separated by "||".
752
+ Example: <answer>U</answer>
753
+ env_type: rubikscube
754
+ max_actions_per_traj: 20
755
+ max_tokens: 96
756
+ custom_reward_function:
757
+ value:
758
+ name: compute_score
759
+ path: null
760
+ data:
761
+ value:
762
+ custom_cls:
763
+ name: null
764
+ path: null
765
+ datagen:
766
+ name: null
767
+ path: null
768
+ dataloader_num_workers: 8
769
+ filter_overlong_prompts: false
770
+ filter_overlong_prompts_workers: 1
771
+ image_key: images
772
+ max_prompt_length: null
773
+ max_response_length: null
774
+ prompt_key: prompt
775
+ return_full_prompt: false
776
+ return_multi_modal_inputs: true
777
+ return_raw_chat: false
778
+ return_raw_input_ids: false
779
+ reward_fn_key: data_source
780
+ sampler:
781
+ class_name: null
782
+ class_path: null
783
+ shuffle: true
784
+ tokenizer: null
785
+ train_batch_size: 128
786
+ train_files: ~/data/rlhf/gsm8k/train.parquet
787
+ truncation: error
788
+ trust_remote_code: false
789
+ use_shm: false
790
+ val_batch_size: null
791
+ val_files: ~/data/rlhf/gsm8k/test.parquet
792
+ validation_shuffle: false
793
+ video_key: videos
794
+ enable_response_mask:
795
+ value: true
796
+ es_manager:
797
+ value:
798
+ format_penalty: -0.1
799
+ train:
800
+ env_configs:
801
+ n_groups:
802
+ - 8
803
+ tags:
804
+ - Bandit
805
+ env_groups: 8
806
+ group_size: 16
807
+ val:
808
+ env_configs:
809
+ n_groups:
810
+ - 256
811
+ - 256
812
+ tags:
813
+ - Bandit
814
+ - BanditTest
815
+ env_groups: 512
816
+ group_size: 1
817
+ global_profiler:
818
+ value:
819
+ _target_: verl.utils.profiler.ProfilerConfig
820
+ global_tool_config:
821
+ nsys:
822
+ _target_: verl.utils.profiler.config.NsightToolConfig
823
+ controller_nsight_options:
824
+ cuda-graph-trace: graph
825
+ cuda-memory-usage: "true"
826
+ trace: cuda,nvtx,cublas,ucx
827
+ discrete: false
828
+ worker_nsight_options:
829
+ capture-range: cudaProfilerApi
830
+ capture-range-end: null
831
+ cuda-graph-trace: graph
832
+ cuda-memory-usage: "true"
833
+ kill: none
834
+ trace: cuda,nvtx,cublas,ucx
835
+ torch_memory:
836
+ context: all
837
+ stack_depth: 32
838
+ stacks: all
839
+ trace_alloc_max_entries: 100000
840
+ profile_continuous_steps: false
841
+ save_path: outputs/profile
842
+ steps: null
843
+ tool: null
844
+ grpo_advantage_length_weight:
845
+ value: false
846
+ lora:
847
+ value:
848
+ alpha: 16
849
+ rank: 0
850
+ target_modules: all-linear
851
+ micro_batch_size_per_gpu:
852
+ value: 1
853
+ model_path:
854
+ value: /mnt/general/wanghy/LLaMA-Factory/saves/qwen3/full/sft/qwen2.5_3B_it_multitask_1231
855
+ ppo_mini_batch_size:
856
+ value: 32
857
+ ray_kwargs:
858
+ value:
859
+ ray_init:
860
+ num_cpus: null
861
+ timeline_json_file: null
862
+ reward_model:
863
+ value:
864
+ enable: false
865
+ enable_resource_pool: false
866
+ forward_max_token_len_per_gpu: 32768
867
+ launch_reward_fn_async: false
868
+ max_length: null
869
+ micro_batch_size: null
870
+ micro_batch_size_per_gpu: null
871
+ model:
872
+ external_lib: null
873
+ fsdp_config:
874
+ _target_: verl.workers.config.FSDPEngineConfig
875
+ forward_prefetch: false
876
+ fsdp_size: -1
877
+ param_offload: false
878
+ reshard_after_forward: true
879
+ wrap_policy:
880
+ min_num_params: 0
881
+ input_tokenizer: /mnt/general/wanghy/LLaMA-Factory/saves/qwen3/full/sft/qwen2.5_3B_it_multitask_1231
882
+ path: ~/models/FsfairX-LLaMA3-RM-v0.1
883
+ trust_remote_code: false
884
+ use_fused_kernels: false
885
+ use_remove_padding: false
886
+ use_shm: false
887
+ n_gpus_per_node: 0
888
+ nnodes: 0
889
+ profiler:
890
+ _target_: verl.utils.profiler.ProfilerConfig
891
+ all_ranks: false
892
+ enable: false
893
+ ranks: []
894
+ save_path: outputs/profile
895
+ tool: null
896
+ tool_config:
897
+ npu:
898
+ _target_: verl.utils.profiler.config.NPUToolConfig
899
+ analysis: true
900
+ contents: []
901
+ discrete: false
902
+ level: level1
903
+ nsys:
904
+ _target_: verl.utils.profiler.config.NsightToolConfig
905
+ discrete: false
906
+ torch:
907
+ _target_: verl.utils.profiler.config.TorchProfilerToolConfig
908
+ step_end: null
909
+ step_start: 0
910
+ torch_memory:
911
+ _target_: verl.utils.profiler.config.TorchMemoryToolConfig
912
+ stack_depth: 32
913
+ trace_alloc_max_entries: 100000
914
+ reward_manager: naive
915
+ sandbox_fusion:
916
+ max_concurrent: 64
917
+ memory_limit_mb: 1024
918
+ url: null
919
+ strategy: fsdp
920
+ ulysses_sequence_parallel_size: 1
921
+ use_dynamic_bsz: false
922
+ seed:
923
+ value:
924
+ train: 10000
925
+ val: 123
926
+ system:
927
+ value:
928
+ CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
929
+ trainer:
930
+ value:
931
+ balance_batch: true
932
+ critic_warmup: 0
933
+ default_hdfs_dir: null
934
+ default_local_dir: /mnt/general/wanghy/RAGEN/saves/qwen3b_it_frommlp_think_bandit_multitask
935
+ del_local_ckpt_after_load: false
936
+ device: cuda
937
+ esi_redundant_time: 0
938
+ experiment_name: bandit--starpos-frommlp_sequence_multitask
939
+ generations_to_log_to_wandb:
940
+ train: 128
941
+ val: 20
942
+ local_log_dir: results/
943
+ log_val_generations: 0
944
+ logger:
945
+ - console
946
+ - wandb
947
+ max_actor_ckpt_to_keep: 1
948
+ max_critic_ckpt_to_keep: 1
949
+ n_gpus_per_node: 8
950
+ nnodes: 1
951
+ project_name: ragen_latest_qwen2.5_3B_it_sequence_multitask
952
+ ray_wait_register_center_timeout: 300
953
+ resume_from_path: null
954
+ resume_mode: auto
955
+ rollout_data_dir: null
956
+ save_freq: 100
957
+ test_freq: 10
958
+ total_epochs: 30
959
+ total_training_steps: 100
960
+ use_legacy_worker_impl: auto
961
+ val_before_train: true
962
+ val_only: false
963
+ validation_data_dir: null
964
+ validation_steps: 1
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_0_73426e8d7b24696eab01.table.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0]]}
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_19_7b961eb7481553898234.table.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [20, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0]]}
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_29_6c461187694e6c4617e3.table.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [20, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [30, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0]]}
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_39_f6e90d96b51748f352a2.table.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"columns": ["step", "input_1", "output_1", "score_1", "input_2", "output_2", "score_2", "input_3", "output_3", "score_3", "input_4", "output_4", "score_4", "input_5", "output_5", "score_5", "input_6", "output_6", "score_6", "input_7", "output_7", "score_7", "input_8", "output_8", "score_8", "input_9", "output_9", "score_9", "input_10", "output_10", "score_10", "input_11", "output_11", "score_11", "input_12", "output_12", "score_12", "input_13", "output_13", "score_13", "input_14", "output_14", "score_14", "input_15", "output_15", "score_15", "input_16", "output_16", "score_16", "input_17", "output_17", "score_17", "input_18", "output_18", "score_18", "input_19", "output_19", "score_19", "input_20", "output_20", "score_20"], "data": [[0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [10, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [20, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [30, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0], [40, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Explorer and Receptionist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Explorer and Receptionist, and output like <answer> Explorer </answer> or <answer> Receptionist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Explorer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Photographer and SocialWorker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Photographer and SocialWorker, and output like <answer> Photographer </answer> or <answer> SocialWorker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Postman and Pilot\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Postman and Pilot, and output like <answer> Postman </answer> or <answer> Pilot </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 1.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named DataScientist and Cashier\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between DataScientist and Cashier, and output like <answer> DataScientist </answer> or <answer> Cashier </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Engineer and RealEstateAgent\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Engineer and RealEstateAgent, and output like <answer> Engineer </answer> or <answer> RealEstateAgent </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Teacher and Trader\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Teacher and Trader, and output like <answer> Teacher </answer> or <answer> Trader </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Bookkeeper and Consultant\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Bookkeeper and Consultant, and output like <answer> Bookkeeper </answer> or <answer> Consultant </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Consultant</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Entrepreneur and Secretary\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Entrepreneur and Secretary, and output like <answer> Entrepreneur </answer> or <answer> Secretary </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Entrepreneur</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named RealEstateAgent and Engineer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between RealEstateAgent and Engineer, and output like <answer> RealEstateAgent </answer> or <answer> Engineer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>RealEstateAgent</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named SocialWorker and Photographer\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between SocialWorker and Photographer, and output like <answer> SocialWorker </answer> or <answer> Photographer </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Photographer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Archivist and Filmmaker\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Archivist and Filmmaker, and output like <answer> Archivist </answer> or <answer> Filmmaker </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Filmmaker</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Mechanic and GameDesigner\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Mechanic and GameDesigner, and output like <answer> Mechanic </answer> or <answer> GameDesigner </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>GameDesigner</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cryptominer and Gardener\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cryptominer and Gardener, and output like <answer> Cryptominer </answer> or <answer> Gardener </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Cryptominer</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Pilot and Postman\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Pilot and Postman, and output like <answer> Pilot </answer> or <answer> Postman </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Pilot</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Cashier and DataScientist\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Cashier and DataScientist, and output like <answer> Cashier </answer> or <answer> DataScientist </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>DataScientist</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named StartupFounder and Nurse\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between StartupFounder and Nurse, and output like <answer> StartupFounder </answer> or <answer> Nurse </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Nurse and StartupFounder\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Nurse and StartupFounder, and output like <answer> Nurse </answer> or <answer> StartupFounder </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>StartupFounder</answer>\n", 0.0, "", "system\nYou're a helpful assistant. \nuser\n\nTurn 1:\nState:\nYou are playing a bandit game. Goal: Maximize your total reward by choosing which arm to pull. \nGame Rules: \n1. There are 2 arms, named Trader and Teacher\n2. Each arm has its own reward distribution, related to their names. \n3. Analyze the symbolic meaning of each arm's name to guess how their reward distribution might behave.\n4. Based on the symbolic meaning of their names, which arm do you think is more likely to give higher rewards on average? Choose between Trader and Teacher, and output like <answer> Trader </answer> or <answer> Teacher </answer>.\n\nYou have 1 actions left. Always output: <think> [Your thoughts] </think> <answer> [your answer] </answer> with no extra text. Strictly follow this format. Max response length: 100 words (tokens).\n\nassistant\n<think></think><answer>Trader</answer>\n", 0.0]]}
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_49_c9d145a077c2e9e48cc6.table.json ADDED
The diff for this file is too large to render. See raw diff
 
wandb/run-20251231_195154-5kmh5x23/files/media/table/val/generations_59_7f2219e18afd653b749a.table.json ADDED
The diff for this file is too large to render. See raw diff