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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
task: string
dataset_dir: string
output_dir: string
seed: int64
max_pairs_per_trace: int64
max_user_chars: int64
balance_positions: bool
shuffle_output: bool
splits: struct<train: struct<split: string, input_path: string, output_path: string, source_pointwise_rows:  (... 2432 chars omitted)
  child 0, train: struct<split: string, input_path: string, output_path: string, source_pointwise_rows: int64, num_tra (... 734 chars omitted)
      child 0, split: string
      child 1, input_path: string
      child 2, output_path: string
      child 3, source_pointwise_rows: int64
      child 4, num_traces: int64
      child 5, num_pairwise_rows: int64
      child 6, label_counts: struct<B: int64, A: int64>
          child 0, B: int64
          child 1, A: int64
      child 7, repair_success_pattern: struct<A=False|B=True: int64, A=True|B=False: int64>
          child 0, A=False|B=True: int64
          child 1, A=True|B=False: int64
      child 8, skipped_traces: struct<all_positive: int64, all_negative_or_unknown: int64>
          child 0, all_positive: int64
          child 1, all_negative_or_unknown: int64
      child 9, traces_with_pairs: int64
      child 10, traces_without_pairs: int64
      child 11, total_possible_pairs: int64
      child 12, total_written_pairs: int64
      child 13, max_pairs_per_trace: int64
      child 14, truncated_user_prompts: int64
      child 15, forbidden_prompt_hits: struct<>
      child 16, extraction_sources_in_pairs: struct<input: int64>
          
...

  child 0, repair_a: struct<row_id: string, trace_id: string, repair_id: string, candidate_text_hash: string, candidate_r (... 32 chars omitted)
      child 0, row_id: string
      child 1, trace_id: string
      child 2, repair_id: string
      child 3, candidate_text_hash: string
      child 4, candidate_rank: int64
      child 5, repair_type: string
  child 1, repair_b: struct<row_id: string, trace_id: string, repair_id: string, candidate_text_hash: string, candidate_r (... 32 chars omitted)
      child 0, row_id: string
      child 1, trace_id: string
      child 2, repair_id: string
      child 3, candidate_text_hash: string
      child 4, candidate_rank: int64
      child 5, repair_type: string
  child 2, positive_repair_id: string
  child 3, negative_repair_id: string
  child 4, source_positive_row_id: string
  child 5, source_negative_row_id: string
  child 6, truncated_user_prompt: bool
  child 7, forbidden_prompt_hits: list<item: null>
      child 0, item: null
  child 8, extraction_source_positive: string
  child 9, extraction_source_negative: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
id: string
trace_id: string
label: struct<preferred: string, repair_a_is_successful: bool, repair_b_is_successful: bool>
  child 0, preferred: string
  child 1, repair_a_is_successful: bool
  child 2, repair_b_is_successful: bool
task_type: string
to
{'id': Value('string'), 'trace_id': Value('string'), 'task_type': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'label': {'preferred': Value('string'), 'repair_a_is_successful': Value('bool'), 'repair_b_is_successful': Value('bool')}, 'pair_metadata': {'repair_a': {'row_id': Value('string'), 'trace_id': Value('string'), 'repair_id': Value('string'), 'candidate_text_hash': Value('string'), 'candidate_rank': Value('int64'), 'repair_type': Value('string')}, 'repair_b': {'row_id': Value('string'), 'trace_id': Value('string'), 'repair_id': Value('string'), 'candidate_text_hash': Value('string'), 'candidate_rank': Value('int64'), 'repair_type': Value('string')}, 'positive_repair_id': Value('string'), 'negative_repair_id': Value('string'), 'source_positive_row_id': Value('string'), 'source_negative_row_id': Value('string'), 'truncated_user_prompt': Value('bool'), 'forbidden_prompt_hits': List(Value('null')), 'extraction_source_positive': Value('string'), 'extraction_source_negative': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              task: string
              dataset_dir: string
              output_dir: string
              seed: int64
              max_pairs_per_trace: int64
              max_user_chars: int64
              balance_positions: bool
              shuffle_output: bool
              splits: struct<train: struct<split: string, input_path: string, output_path: string, source_pointwise_rows:  (... 2432 chars omitted)
                child 0, train: struct<split: string, input_path: string, output_path: string, source_pointwise_rows: int64, num_tra (... 734 chars omitted)
                    child 0, split: string
                    child 1, input_path: string
                    child 2, output_path: string
                    child 3, source_pointwise_rows: int64
                    child 4, num_traces: int64
                    child 5, num_pairwise_rows: int64
                    child 6, label_counts: struct<B: int64, A: int64>
                        child 0, B: int64
                        child 1, A: int64
                    child 7, repair_success_pattern: struct<A=False|B=True: int64, A=True|B=False: int64>
                        child 0, A=False|B=True: int64
                        child 1, A=True|B=False: int64
                    child 8, skipped_traces: struct<all_positive: int64, all_negative_or_unknown: int64>
                        child 0, all_positive: int64
                        child 1, all_negative_or_unknown: int64
                    child 9, traces_with_pairs: int64
                    child 10, traces_without_pairs: int64
                    child 11, total_possible_pairs: int64
                    child 12, total_written_pairs: int64
                    child 13, max_pairs_per_trace: int64
                    child 14, truncated_user_prompts: int64
                    child 15, forbidden_prompt_hits: struct<>
                    child 16, extraction_sources_in_pairs: struct<input: int64>
                        
              ...
              
                child 0, repair_a: struct<row_id: string, trace_id: string, repair_id: string, candidate_text_hash: string, candidate_r (... 32 chars omitted)
                    child 0, row_id: string
                    child 1, trace_id: string
                    child 2, repair_id: string
                    child 3, candidate_text_hash: string
                    child 4, candidate_rank: int64
                    child 5, repair_type: string
                child 1, repair_b: struct<row_id: string, trace_id: string, repair_id: string, candidate_text_hash: string, candidate_r (... 32 chars omitted)
                    child 0, row_id: string
                    child 1, trace_id: string
                    child 2, repair_id: string
                    child 3, candidate_text_hash: string
                    child 4, candidate_rank: int64
                    child 5, repair_type: string
                child 2, positive_repair_id: string
                child 3, negative_repair_id: string
                child 4, source_positive_row_id: string
                child 5, source_negative_row_id: string
                child 6, truncated_user_prompt: bool
                child 7, forbidden_prompt_hits: list<item: null>
                    child 0, item: null
                child 8, extraction_source_positive: string
                child 9, extraction_source_negative: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              id: string
              trace_id: string
              label: struct<preferred: string, repair_a_is_successful: bool, repair_b_is_successful: bool>
                child 0, preferred: string
                child 1, repair_a_is_successful: bool
                child 2, repair_b_is_successful: bool
              task_type: string
              to
              {'id': Value('string'), 'trace_id': Value('string'), 'task_type': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')}), 'label': {'preferred': Value('string'), 'repair_a_is_successful': Value('bool'), 'repair_b_is_successful': Value('bool')}, 'pair_metadata': {'repair_a': {'row_id': Value('string'), 'trace_id': Value('string'), 'repair_id': Value('string'), 'candidate_text_hash': Value('string'), 'candidate_rank': Value('int64'), 'repair_type': Value('string')}, 'repair_b': {'row_id': Value('string'), 'trace_id': Value('string'), 'repair_id': Value('string'), 'candidate_text_hash': Value('string'), 'candidate_rank': Value('int64'), 'repair_type': Value('string')}, 'positive_repair_id': Value('string'), 'negative_repair_id': Value('string'), 'source_positive_row_id': Value('string'), 'source_negative_row_id': Value('string'), 'truncated_user_prompt': Value('bool'), 'forbidden_prompt_hits': List(Value('null')), 'extraction_source_positive': Value('string'), 'extraction_source_negative': Value('string')}}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
trace_id
string
task_type
string
messages
list
label
dict
pair_metadata
dict
5a7e801b5542997cc2c47557::PAIR::455aea487e964a3b
5a7e801b5542997cc2c47557
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7e801b5542997cc2c47557::R1", "trace_id": "5a7e801b5542997cc2c47557", "repair_id": "R1", "candidate_text_hash": "a0cdb310f09e", "candidate_rank": 1, "repair_type": "add_answer_completeness_check" }, "repair_b": { "row_id": "5a7e801b5542997cc2c47557::R2", ...
5ab545d3554299494045ef5c::PAIR::f3dc0594fc44537f
5ab545d3554299494045ef5c
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ab545d3554299494045ef5c::R4", "trace_id": "5ab545d3554299494045ef5c", "repair_id": "R4", "candidate_text_hash": "e882e0fc3604", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5ab545d3554299494045ef5c::R2", "tr...
5ae527085542993aec5ec165::PAIR::7a6aa643ce74fb72
5ae527085542993aec5ec165
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae527085542993aec5ec165::R3", "trace_id": "5ae527085542993aec5ec165", "repair_id": "R3", "candidate_text_hash": "710b969b9023", "candidate_rank": 3, "repair_type": "add_multihop_decomposition" }, "repair_b": { "row_id": "5ae527085542993aec5ec165::R1", "t...
5ab808b85542991d3222380d::PAIR::417e39b7ca38a8c2
5ab808b85542991d3222380d
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ab808b85542991d3222380d::R2", "trace_id": "5ab808b85542991d3222380d", "repair_id": "R2", "candidate_text_hash": "7b5bbff9b923", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5ab808b85542991d32223...
5ac275f155429921a00aaf82::PAIR::fd91ca8d4d079b79
5ac275f155429921a00aaf82
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ac275f155429921a00aaf82::R5", "trace_id": "5ac275f155429921a00aaf82", "repair_id": "R5", "candidate_text_hash": "66d79dad8c57", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5ac275f155429921a00aaf82::R3", "trac...
5ab446875542990594ba9bea::PAIR::9641a3cc522b20e9
5ab446875542990594ba9bea
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ab446875542990594ba9bea::R5", "trace_id": "5ab446875542990594ba9bea", "repair_id": "R5", "candidate_text_hash": "b027848c6009", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5ab446875542990594ba9bea::R4", "trac...
5a7cff5755429907fabef09d::PAIR::b19929b752b0e4e5
5a7cff5755429907fabef09d
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7cff5755429907fabef09d::R4", "trace_id": "5a7cff5755429907fabef09d", "repair_id": "R4", "candidate_text_hash": "53ff84a18175", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a7cff5755429907fabef09d::R5", "tr...
5a7b85ac5542997c3ec971ef::PAIR::9b592150837aef20
5a7b85ac5542997c3ec971ef
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a7b85ac5542997c3ec971ef::R4", "trace_id": "5a7b85ac5542997c3ec971ef", "repair_id": "R4", "candidate_text_hash": "661cf29fab2f", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a7b85ac5542997c3ec971ef::R5", "tr...
5a8bc0485542995d1e6f143d::PAIR::babbbad32023bd0c
5a8bc0485542995d1e6f143d
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a8bc0485542995d1e6f143d::R1", "trace_id": "5a8bc0485542995d1e6f143d", "repair_id": "R1", "candidate_text_hash": "07dc87ef0c82", "candidate_rank": 1, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5a8bc0485542995d1e6f143d::R2", "trace_id...
5ae6c0f35542991bbc97616f::PAIR::3f42c02fe7201475
5ae6c0f35542991bbc97616f
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ae6c0f35542991bbc97616f::R4", "trace_id": "5ae6c0f35542991bbc97616f", "repair_id": "R4", "candidate_text_hash": "fc7a459038cd", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5ae6c0f35542991bbc97616f::R5", "tr...
5a81e04455429903bc27b9f9::PAIR::232f4c422b3b0e2a
5a81e04455429903bc27b9f9
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a81e04455429903bc27b9f9::R4", "trace_id": "5a81e04455429903bc27b9f9", "repair_id": "R4", "candidate_text_hash": "7588fd29e322", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a81e04455429903bc27b9f9::R3", "tr...
5a7147fd5542994082a3e758::PAIR::440b08f31c65c25c
5a7147fd5542994082a3e758
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7147fd5542994082a3e758::R5", "trace_id": "5a7147fd5542994082a3e758", "repair_id": "R5", "candidate_text_hash": "2283632c5583", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5a7147fd5542994082a3e758::R2", "trac...
5a7331705542991f9a20c67a::PAIR::47f515aaa6c54853
5a7331705542991f9a20c67a
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7331705542991f9a20c67a::R5", "trace_id": "5a7331705542991f9a20c67a", "repair_id": "R5", "candidate_text_hash": "9c27a846ee94", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5a7331705542991f9a20c67a::R4", "trac...
5ae6050f55429929b0807a5e::PAIR::fa01c683d54d114b
5ae6050f55429929b0807a5e
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae6050f55429929b0807a5e::R5", "trace_id": "5ae6050f55429929b0807a5e", "repair_id": "R5", "candidate_text_hash": "dcfa88f3f741", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5ae6050f55429929b0807a5e::R2", "trac...
5a8febb555429916514e73e4::PAIR::f4fdbf6e4d994fde
5a8febb555429916514e73e4
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a8febb555429916514e73e4::R4", "trace_id": "5a8febb555429916514e73e4", "repair_id": "R4", "candidate_text_hash": "f6bef0f3894c", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a8febb555429916514e73e4::R3", "tr...
5ae141475542997b2ef7d185::PAIR::1381a9d79237b1df
5ae141475542997b2ef7d185
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ae141475542997b2ef7d185::R3", "trace_id": "5ae141475542997b2ef7d185", "repair_id": "R3", "candidate_text_hash": "bc2796a252b1", "candidate_rank": 3, "repair_type": "add_multihop_decomposition" }, "repair_b": { "row_id": "5ae141475542997b2ef7d185::R5", "t...
5ae3790f5542992e3233c415::PAIR::62f050ce672993ef
5ae3790f5542992e3233c415
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ae3790f5542992e3233c415::R1", "trace_id": "5ae3790f5542992e3233c415", "repair_id": "R1", "candidate_text_hash": "c05be0ef5030", "candidate_rank": 1, "repair_type": "add_reasoning_verification" }, "repair_b": { "row_id": "5ae3790f5542992e3233c415::R2", "t...
5ae33cf45542990afbd1e0ea::PAIR::59ded011128e9f82
5ae33cf45542990afbd1e0ea
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae33cf45542990afbd1e0ea::R1", "trace_id": "5ae33cf45542990afbd1e0ea", "repair_id": "R1", "candidate_text_hash": "1759984b6e3a", "candidate_rank": 1, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5ae33cf45542990afbd1e0ea::R3", "trace_id...
5a77846f5542995d83181187::PAIR::1565e16347d90e7b
5a77846f5542995d83181187
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a77846f5542995d83181187::R1", "trace_id": "5a77846f5542995d83181187", "repair_id": "R1", "candidate_text_hash": "85f22589756c", "candidate_rank": 2, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5a77846f5542995d83181187::R4", "trace_id...
5a8d12ca5542994ba4e3dbe2::PAIR::20bb4341fa661cfc
5a8d12ca5542994ba4e3dbe2
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a8d12ca5542994ba4e3dbe2::R4", "trace_id": "5a8d12ca5542994ba4e3dbe2", "repair_id": "R4", "candidate_text_hash": "ec97c46fac06", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a8d12ca5542994ba4e3dbe2::R3", "tr...
5a8d838955429941ae14dfe5::PAIR::3de2d6ddbbda9627
5a8d838955429941ae14dfe5
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a8d838955429941ae14dfe5::R1", "trace_id": "5a8d838955429941ae14dfe5", "repair_id": "R1", "candidate_text_hash": "5263dcf8ce80", "candidate_rank": 1, "repair_type": "add_reasoning_verification" }, "repair_b": { "row_id": "5a8d838955429941ae14dfe5::R3", "t...
5a7140585542994082a3e6fa::PAIR::bf46220a8414b7bc
5a7140585542994082a3e6fa
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7140585542994082a3e6fa::R4", "trace_id": "5a7140585542994082a3e6fa", "repair_id": "R4", "candidate_text_hash": "da52fd13f1a8", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a7140585542994082a3e6fa::R1", "tr...
5a762d53554299109176e6a7::PAIR::c9e52531ab838cac
5a762d53554299109176e6a7
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a762d53554299109176e6a7::R3", "trace_id": "5a762d53554299109176e6a7", "repair_id": "R3", "candidate_text_hash": "bf842d437d37", "candidate_rank": 3, "repair_type": "add_multihop_decomposition" }, "repair_b": { "row_id": "5a762d53554299109176e6a7::R4", "t...
5a81e8a0554299676cceb157::PAIR::8443a2e79159a239
5a81e8a0554299676cceb157
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a81e8a0554299676cceb157::R4", "trace_id": "5a81e8a0554299676cceb157", "repair_id": "R4", "candidate_text_hash": "911a29ed256f", "candidate_rank": 4, "repair_type": "increase_retrieval_budget" }, "repair_b": { "row_id": "5a81e8a0554299676cceb157::R3", "tr...
5ab8cd3d5542991b5579f009::PAIR::18e5bc98b46cc141
5ab8cd3d5542991b5579f009
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ab8cd3d5542991b5579f009::R2", "trace_id": "5ab8cd3d5542991b5579f009", "repair_id": "R2", "candidate_text_hash": "61155a6b9146", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5ab8cd3d5542991b5579f...
5ae4c2b95542995dadf243ef::PAIR::e8750a75de2913b8
5ae4c2b95542995dadf243ef
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae4c2b95542995dadf243ef::R1", "trace_id": "5ae4c2b95542995dadf243ef", "repair_id": "R1", "candidate_text_hash": "3807fee157da", "candidate_rank": 1, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5ae4c2b95542995dadf243ef::R3", "trace_id...
5ae6368a5542992ae0d16284::PAIR::1fe43dd229acddd8
5ae6368a5542992ae0d16284
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ae6368a5542992ae0d16284::R1", "trace_id": "5ae6368a5542992ae0d16284", "repair_id": "R1", "candidate_text_hash": "81dcb80b2aed", "candidate_rank": 2, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5ae6368a5542992ae0d16284::R2", "trace_id...
5ac38bf355429939154137ba::PAIR::ac561140b83c9218
5ac38bf355429939154137ba
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5ac38bf355429939154137ba::R2", "trace_id": "5ac38bf355429939154137ba", "repair_id": "R2", "candidate_text_hash": "a2fc82abf4e5", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5ac38bf35542993915413...
5ab808b85542991d3222380d::PAIR::382c43b59a302bee
5ab808b85542991d3222380d
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ab808b85542991d3222380d::R3", "trace_id": "5ab808b85542991d3222380d", "repair_id": "R3", "candidate_text_hash": "5672e4fca4f8", "candidate_rank": 3, "repair_type": "add_multihop_decomposition" }, "repair_b": { "row_id": "5ab808b85542991d3222380d::R1", "t...
5ae7954b554299540e5a5620::PAIR::1cac2d41ca1f2ee4
5ae7954b554299540e5a5620
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae7954b554299540e5a5620::R1", "trace_id": "5ae7954b554299540e5a5620", "repair_id": "R1", "candidate_text_hash": "e1294cba9d8c", "candidate_rank": 1, "repair_type": "add_missing_context" }, "repair_b": { "row_id": "5ae7954b554299540e5a5620::R5", "trace_id...
5a84807d554299123d8c2278::PAIR::2763e0afc586ed76
5a84807d554299123d8c2278
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a84807d554299123d8c2278::R2", "trace_id": "5a84807d554299123d8c2278", "repair_id": "R2", "candidate_text_hash": "62710a61d50a", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5a84807d554299123d8c2...
5a8cdcb0554299441c6b9f33::PAIR::d24ebf4880da42d5
5a8cdcb0554299441c6b9f33
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a8cdcb0554299441c6b9f33::R3", "trace_id": "5a8cdcb0554299441c6b9f33", "repair_id": "R3", "candidate_text_hash": "461586412080", "candidate_rank": 3, "repair_type": "add_final_answer_check" }, "repair_b": { "row_id": "5a8cdcb0554299441c6b9f33::R1", "trace...
5a88bd1d554299206df2b357::PAIR::ec900290fc3b09db
5a88bd1d554299206df2b357
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a88bd1d554299206df2b357::R1", "trace_id": "5a88bd1d554299206df2b357", "repair_id": "R1", "candidate_text_hash": "da91ff2e5232", "candidate_rank": 1, "repair_type": "add_reasoning_verification" }, "repair_b": { "row_id": "5a88bd1d554299206df2b357::R3", "t...
5ac4e9ab5542996feb3fe974::PAIR::b97748413e2e2a60
5ac4e9ab5542996feb3fe974
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ac4e9ab5542996feb3fe974::R5", "trace_id": "5ac4e9ab5542996feb3fe974", "repair_id": "R5", "candidate_text_hash": "df604fad19c7", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5ac4e9ab5542996feb3fe974::R2", "trac...
5a7b85ac5542997c3ec971ef::PAIR::f7edcbb9fb868987
5a7b85ac5542997c3ec971ef
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "B", "repair_a_is_successful": false, "repair_b_is_successful": true }
{ "repair_a": { "row_id": "5a7b85ac5542997c3ec971ef::R5", "trace_id": "5a7b85ac5542997c3ec971ef", "repair_id": "R5", "candidate_text_hash": "2a3968da7a38", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5a7b85ac5542997c3ec971ef::R2", "trac...
5ae76d185542997ec2727641::PAIR::94045227c4ec9e4a
5ae76d185542997ec2727641
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae76d185542997ec2727641::R5", "trace_id": "5ae76d185542997ec2727641", "repair_id": "R5", "candidate_text_hash": "acbac2a8a54d", "candidate_rank": 5, "repair_type": "rewrite_retrieval_query" }, "repair_b": { "row_id": "5ae76d185542997ec2727641::R1", "trac...
5a8af1e255429950cd6afc28::PAIR::192c11e940e2e631
5a8af1e255429950cd6afc28
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a8af1e255429950cd6afc28::R2", "trace_id": "5a8af1e255429950cd6afc28", "repair_id": "R2", "candidate_text_hash": "32ae9fd67dea", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5a8af1e255429950cd6af...
5a84bbb35542991dd0999dc0::PAIR::a728d35a1ba946ce
5a84bbb35542991dd0999dc0
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5a84bbb35542991dd0999dc0::R2", "trace_id": "5a84bbb35542991dd0999dc0", "repair_id": "R2", "candidate_text_hash": "b1f07a63602a", "candidate_rank": 2, "repair_type": "add_missing_context_with_answer_extraction" }, "repair_b": { "row_id": "5a84bbb35542991dd0999...
5ae4f96755429913cc204551::PAIR::b24c26868b7a9ce1
5ae4f96755429913cc204551
pairwise_repair_ranking
[ { "role": "system", "content": "You are AgentBlackBox's learned pairwise counterfactual repair ranker. Given a failed agent trace and two executable candidate repairs, decide which repair is more likely to resolve the failure if applied. Output only A or B." }, { "role": "user", "content": "{\n ...
{ "preferred": "A", "repair_a_is_successful": true, "repair_b_is_successful": false }
{ "repair_a": { "row_id": "5ae4f96755429913cc204551::R3", "trace_id": "5ae4f96755429913cc204551", "repair_id": "R3", "candidate_text_hash": "8ef3f289f51a", "candidate_rank": 3, "repair_type": "add_multihop_decomposition" }, "repair_b": { "row_id": "5ae4f96755429913cc204551::R1", "t...
End of preview.

AgentBlackBox RAG Repair Outcome Dataset

This dataset contains replay-labeled repair outcome data for AgentBlackBox, a counterfactual debugging framework for language agents.

The data is built around failed RAG/document-recall agent traces, candidate repairs, counterfactual replay labels, and repair-ranking evaluation outputs.

Contents

datasets/ world_model_ranker_dataset_v2_train10k/ pointwise/ listwise/ stats.json

qwen_pairwise_sft_v2_train10k_fixed/ train.jsonl dev.jsonl test.jsonl stats.json sample_preview.json

raw_runs/ hotpotqa_validation_20260610_210103/ summary.jsonl repair_outcomes.jsonl summary.csv repair_outcomes.csv

hotpotqa_train_combined_10k_v1/ summary.jsonl repair_outcomes.jsonl

evals/ world_model_ranker_baseline_v2_train10k/ v2_package_eval_qwen_pairwise_r32_e3_logodds/ qwen3_8b_pairwise_lora_eval_v2_train10k_r32_e3_logodds/

results/ final_tables/

Dataset Summary

The dataset supports research on:

  • language-agent failure analysis
  • RAG repair generation
  • counterfactual replay evaluation
  • repair outcome modeling
  • pairwise repair ranking
  • world models for agent debugging

The main learning problem is:

failed trace + candidate repair(s) -> replay-verified repair outcome / repair ranking

Main Splits

The main ranker dataset is located at:

datasets/world_model_ranker_dataset_v2_train10k/

It includes pointwise and listwise formats for repair outcome modeling and repair ranking.

The Qwen pairwise SFT dataset is located at:

datasets/qwen_pairwise_sft_v2_train10k_fixed/

It includes train/dev/test JSONL files for pairwise repair ranking.

Evaluation Results

Final result tables are included in:

results/final_tables/

The main ranking table is:

results/final_tables/table_ranker_performance_wide.csv

The mixed-trace analysis table is:

results/final_tables/table_mixed_trace_analysis.csv

Related Model

The Qwen3-8B LoRA pairwise repair ranker is available at:

Eyerf/agentblackbox-qwen3-8b-rag-repair-ranker-lora

Related Code

The AgentBlackBox code repository is available at:

https://github.com/eyerf/agentblackbox

Source and License Notes

This dataset is derived from RAG experiments based on HotpotQA-style question answering and AgentBlackBox-generated repair/replay outputs.

The released files contain derived failed-trace metadata, repair candidates, replay labels, pairwise ranking data, and evaluation outputs.

Please cite the original QA benchmark sources and AgentBlackBox when using this dataset.

Limitations

  • The dataset is focused on RAG/document-recall agent failures.
  • Replay labels depend on the AgentBlackBox replay/evaluation setup.
  • The dataset should not be interpreted as a general benchmark for all agent failures.
  • The pairwise ranking data reflects the candidate repair generation and replay policy used in the experiments.
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