Datasets:

jucamohedano
/

oven-qwen3-vl-eval-traces

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
data_id: string
image_id: string
question: string
entity_id: string
entity_text: string
data_split: string
answer: string
dataset: string
image_path: string
oven_question: string
question_source: string
prediction: string
method: string
prompt_variant: string
sampling: string
n_samples: int64
success: null
all_texts: list<item: string>
  child 0, item: string
rsa_candidate_format: string
rsa: struct<source_method: string, source_prompt_variant: string, source_n_samples: int64, candidate_form (... 110 chars omitted)
  child 0, source_method: string
  child 1, source_prompt_variant: string
  child 2, source_n_samples: int64
  child 3, candidate_format: string
  child 4, population: int64
  child 5, k: int64
  child 6, steps: int64
  child 7, updates: int64
  child 8, initial_selection: string
  child 9, seed: int64
rsa_initial_solutions: list<item: string>
  child 0, item: string
rsa_populations_by_step: list<item: list<item: string>>
  child 0, item: list<item: string>
      child 0, item: string
rsa_final_solutions: list<item: string>
  child 0, item: string
rsa_raw_prediction: string
rsa_parse_ok: bool
rsa_parse_ok_all: list<item: bool>
  child 0, item: bool
judge_verdicts: list<item: bool>
  child 0, item: bool
judge_parse_ok: list<item: bool>
  child 0, item: bool
judge_hit: bool
judge_hit_count: int64
judge_selected: int64
judge_selected_text: string
judge_raw: list<item: string>
  child 0, item: string
to
{'data_id': Value('string'), 'image_id': Value('string'), 'question': Value('string'), 'entity_id': Value('string'), 'entity_text': Value('string'), 'data_split': Value('string'), 'answer': Value('string'), 'dataset': Value('string'), 'image_path': Value('string'), 'oven_question': Value('string'), 'question_source': Value('string'), 'prediction': Value('string'), 'method': Value('string'), 'prompt_variant': Value('string'), 'sampling': Value('string'), 'n_samples': Value('int64'), 'success': Value('null'), 'all_texts': List(Value('string')), 'judge_verdicts': List(Value('bool')), 'judge_parse_ok': List(Value('bool')), 'judge_hit': Value('bool'), 'judge_hit_count': Value('int64'), 'judge_selected': Value('int64'), 'judge_selected_text': Value('string'), 'judge_raw': List(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
              data_id: string
              image_id: string
              question: string
              entity_id: string
              entity_text: string
              data_split: string
              answer: string
              dataset: string
              image_path: string
              oven_question: string
              question_source: string
              prediction: string
              method: string
              prompt_variant: string
              sampling: string
              n_samples: int64
              success: null
              all_texts: list<item: string>
                child 0, item: string
              rsa_candidate_format: string
              rsa: struct<source_method: string, source_prompt_variant: string, source_n_samples: int64, candidate_form (... 110 chars omitted)
                child 0, source_method: string
                child 1, source_prompt_variant: string
                child 2, source_n_samples: int64
                child 3, candidate_format: string
                child 4, population: int64
                child 5, k: int64
                child 6, steps: int64
                child 7, updates: int64
                child 8, initial_selection: string
                child 9, seed: int64
              rsa_initial_solutions: list<item: string>
                child 0, item: string
              rsa_populations_by_step: list<item: list<item: string>>
                child 0, item: list<item: string>
                    child 0, item: string
              rsa_final_solutions: list<item: string>
                child 0, item: string
              rsa_raw_prediction: string
              rsa_parse_ok: bool
              rsa_parse_ok_all: list<item: bool>
                child 0, item: bool
              judge_verdicts: list<item: bool>
                child 0, item: bool
              judge_parse_ok: list<item: bool>
                child 0, item: bool
              judge_hit: bool
              judge_hit_count: int64
              judge_selected: int64
              judge_selected_text: string
              judge_raw: list<item: string>
                child 0, item: string
              to
              {'data_id': Value('string'), 'image_id': Value('string'), 'question': Value('string'), 'entity_id': Value('string'), 'entity_text': Value('string'), 'data_split': Value('string'), 'answer': Value('string'), 'dataset': Value('string'), 'image_path': Value('string'), 'oven_question': Value('string'), 'question_source': Value('string'), 'prediction': Value('string'), 'method': Value('string'), 'prompt_variant': Value('string'), 'sampling': Value('string'), 'n_samples': Value('int64'), 'success': Value('null'), 'all_texts': List(Value('string')), 'judge_verdicts': List(Value('bool')), 'judge_parse_ok': List(Value('bool')), 'judge_hit': Value('bool'), 'judge_hit_count': Value('int64'), 'judge_selected': Value('int64'), 'judge_selected_text': Value('string'), 'judge_raw': List(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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data_id string	image_id string	question string	entity_id string	entity_text string	data_split string	answer string	dataset string	image_path string	oven_question string	question_source string	prediction string	method string	prompt_variant string	sampling string	n_samples int64	success null	all_texts list	judge_verdicts list	judge_parse_ok list	judge_hit bool	judge_hit_count int64	judge_selected int64	judge_selected_text string	judge_raw list
oven_entity_val_00000000	oven_04944518	what is this baseball venue?	Q517545	Nationals Park	entity_val_seen	Nationals Park	gldv2	data/images/oven_04944518.jpg	what is this park called?	chain_parent	washington stadiums	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "washington stadiums", " stadium", "riggs field", "david j ginsburg stadium", "washington stadium", "estadio rodrigo dominguez", "davis arena", "david brown stadium", "feldman baseball stadium", "david j. rlaker stadium", "coors field", "david r. taylor stadium", "new england pavilion", " ...	[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	2	154	washington nationals stadium	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000016	oven_04944534	what is this baseball venue?	Q517545	Nationals Park	entity_val_seen	Nationals Park	gldv2	data/images/oven_04944534.jpg	what is the name of this place?	chain_parent	smart arbor stadium	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "smart arbor stadium", " washingtons", "dual stadium", " washington nationals stadium", " nationals", " washington diamondbacks", " nationals park", "david l. bullock stadium", "david r. brown stadium", "david l. gilmour park", " washington national stadium", "davidson park", "david j. water...	[ false, false, false, true, true, false, true, false, false, false, true, false, false, false, true, false, false, false, false, false, true, false, false, true, false, false, true, false, false, false, false, false, false, false, false, true, f...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	72	3	washington nationals stadium	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000032	oven_04944550	what is this baseball venue?	Q517545	Nationals Park	entity_val_seen	Nationals Park	gldv2	data/images/oven_04944550.jpg	what is the name of this park?	chain_parent	dignity park	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "dignity park", " baseball stadium", " baseball stadium", " wachovia stadium", " stadium", "david j. r. williams stadium", "washington stadium", " washington stadium", "fcc", "changli", " shibe park", " stadium", " walter dale in centerfield stadium", "fcc stadium", " cleveland andy jers...	[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, fa...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	6	15	nationals	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000048	oven_04944566	what is this square?	Q129143	Trafalgar Square	entity_val_seen	Trafalgar Square	gldv2	data/images/oven_04944566.jpg	what is the name of this place?	chain_parent	aqueduct square	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " aqueduct square", "lion's court", " tony square", " tony st.", " trafalgar square", " tony", " tony", " t shoppe square", " tony hill square", "tottenham court\n\nThe location is Tottenham Court Road, a shopping street in London", " tony", " tony square", " tesc", " t anderson square", ...	[ false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, fa...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	18	4	trafalgar square	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000064	oven_04944582	what is this square?	Q129143	Trafalgar Square	entity_val_seen	Trafalgar Square	gldv2	data/images/oven_04944582.jpg	what is the name of this location?	chain_parent	tony hill square	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " tony hill square", " tony square", " tony square", "trafalgar square", " taj square", " tраф\nפל 1101", " tony square", " trafalgar square", " tony square", "trellick tower", " tnt square", " tony square", " tony\n\nexplanation: This is Trafalgar Square, a famous", " trafalgar square", ...	[ false, false, false, true, false, false, false, true, false, false, false, false, true, true, false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false,...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	50	3	trafalgar square	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<an...
oven_entity_val_00000080	oven_04944598	what is this square?	Q129143	Trafalgar Square	entity_val_seen	Trafalgar Square	gldv2	data/images/oven_04944598.jpg	what is this location called?	chain_parent	highgate square	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " highgate square", " tony wexford", " tony square", " tony square", " tony square", " tony blu", "tottenham court square", " tiffany square", " islington", "tottenham court square", " st. peters square", " tate square", " whitehall", " tiffany square", " trafalgar square", " tony squa...	[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true, false, false, false, false, false, false, false, false, false, false, true, false, false, false, false, false, true, false, false...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	25	14	trafalgar square	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000096	oven_04944614	what is this mountain?	Q130018	Denali	entity_val_seen	Denali	gldv2	data/images/oven_04944614.jpg	what is the name of this place?	chain_parent	denali	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " denali", " mount adirondack", " denali", " denali", " denali", " denali", "denali", " denali", " alaska mountain", " denali", " denali", " denali", " denali", " denali", " denali", " denali", " denali", " denali", "denali", "denali", " denali", " mount denali", " denali...	[ true, false, true, true, true, true, true, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, tr...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	230	0	denali	[ "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<an...
oven_entity_val_00000112	oven_04944630	what is this mountain?	Q130018	Denali	entity_val_seen	Denali	gldv2	data/images/oven_04944630.jpg	where is this mountain?	chain_parent	denali	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " denali", "denali", " packer", " mount denali", " denali", " denali", "mountain denali", " denali", " mount everest", "mountain denali", " denali", " denali", "el coronado", " snow mountain", " alaska", " denali", "charles m. schneerson", "elisha range", " andes mount", " dena...	[ true, true, false, true, true, true, true, true, false, true, true, true, false, false, false, true, false, false, false, true, false, true, false, true, false, true, false, true, true, true, false, false, true, false, false, true, false, fal...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	141	0	denali	[ "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000128	oven_04944646	what plant is presented in the image?	Q208253	Poinsettia	entity_val_seen	Poinsettia	imagenet21k	data/images/oven_04944646.jpg	null	oven_original	poinsettia	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " poinsettia", "poinsettia", " poinsettia", "poinsettia", " poinsettia", "poinsettia", "poinsettia", "poinsettia", " poinsettia", "poinsettia", " poinsettia", " poinsettia", "poinsettia", "poinsettia", " poinsettia", " poinsettia", "poinsettia", " poinsettia", "poinsettia", "po...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	256	0	poinsettia	[ "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<an...
oven_entity_val_00000154	oven_04944672	what is this plant?	Q208253	Poinsettia	entity_val_seen	Poinsettia	imagenet21k	data/images/oven_04944672.jpg	null	oven_original	poinsettia	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", " poinsettia", "poinsettia", " poinsettia", " poinsettia", " poinsetti...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	256	0	poinsettia	[ "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<an...
oven_entity_val_00000175	oven_04944693	what is this open sandwich?	Q58263	Eggs Benedict	entity_val_seen	Eggs Benedict	imagenet21k	data/images/oven_04944693.jpg	what is shown in the photo?	chain_parent	eggs	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "eggs", "eggs benedict", "eggs benedict", "eggs", "sushi", "egg", " eggs benedict", "eggs and toast", "eggs benedict", "eggs Benedict", "eggs benedict", "eggs benedict", "egg and toast", "egg benedict", "eggs", "eggs benedict", "eggs benedict", "eggs benedict", "egg benedict", ...	[ false, true, true, false, false, false, true, false, true, true, true, true, false, true, false, true, true, true, true, true, false, false, false, true, true, true, false, true, true, false, true, false, false, true, true, false, false, fals...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	129	1	eggs benedict	[ "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000191	oven_04944709	what is this open sandwich?	Q58263	Eggs Benedict	entity_val_seen	Eggs Benedict	imagenet21k	data/images/oven_04944709.jpg	what is the category of this food?	chain_parent	eggs benedict	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "eggs benedict", "eggs Benedict", "eggs benedict", "eggs benedict", " eggs benedict", "egg benedict", "eggs Benedict", "eggs benedict", "bed of eggs", "eggs benedict", "eggs and hollandaise sauce", "eggs Benedict", "eggs Benedict", "egg benedict", "eggs benedict", "egg benedict", " e...	[ true, true, true, true, true, true, true, true, false, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, false, true, true, true, true, true, true, true, true, false, ...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	231	0	eggs benedict	[ "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>1</answer>", "<an...
oven_entity_val_00000207	oven_04944725	what is this open sandwich?	Q58263	Eggs Benedict	entity_val_seen	Eggs Benedict	imagenet21k	data/images/oven_04944725.jpg	which category of food is shown in the image?	chain_parent	eggs benedict	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "eggs benedict", "eggs benedict", "eggs benedict", "egg benedict", "eggs benedict", "eggs Benedict", "eggs benedict", "eggs benedict", "eggs benedict", "eggs benedict", "eggs benedict", "egg white sandwich", "egg and hollandaise", "eggs benedict", "eggs benedict", "eggs benedict", "e...	[ true, true, true, true, true, true, true, true, true, true, true, false, false, true, true, true, true, true, true, true, true, false, true, true, true, true, true, false, false, true, true, true, true, true, true, true, true, true, true, ...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	209	0	eggs benedict	[ "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000223	oven_04944741	what is this dish?	Q1076874	Fried rice	entity_val_seen	Fried rice	imagenet21k	data/images/oven_04944741.jpg	what food is presented in the image?	chain_parent	rice with green vegetables	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "rice with green vegetables", "rice", "rice with green and pink ingredients", "rice mix", "rice with vegetables", "rice", "rice with spinach and salmon", "cabbage and rice", "rice with chicken", "rice with vegetables and fish", "rice salad", "rice", "rice", "rice", "rice", "rice with s...	[ false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, f...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	false	0	-1	rice with green vegetables	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...
oven_entity_val_00000239	oven_04944757	what is this dish?	Q1076874	Fried rice	entity_val_seen	Fried rice	imagenet21k	data/images/oven_04944757.jpg	which type of food is depicted in the image?	chain_parent	rice	naive-sampling	concise_no_idk	temp=1.0, top_p=1.0, top_k=-1, n=256	256	null	[ "rice", "pilaf", "rice", "fri\n\njilt\n\nno idea", "pepper fried rice", "fusilli", "rice", "rice", "rice", "rice", "rice", "rice", "pilaf", "rice", "rice", "rice", "rice", "rice", "rice", "rice", "rice", "fesen yar", "rice", "pilaf", "pilaf", "rice", "rice", "un...	[ false, false, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, fa...	[ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true...	true	8	4	pepper fried rice	[ "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>1</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<answer>0</answer>", "<an...

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OVEN Qwen3-VL Evaluation Traces

Raw evaluation traces from my MSc thesis: Qwen3-VL (2B / 4B / 8B / 32B) sampled on the OVEN open-domain visual entity recognition task (aligned validation split), with LM-as-judge verdicts. These are the rollouts behind the thesis's coverage (pass@k) and specificity results.

Files are grouped by model size (2b/, 4b/, 8b/, 32b/):

file	contents
`samples.jsonl`	standard sampling: N=256 stochastic rollouts per example, under `all_texts`
`judged_qwen.jsonl`	per-rollout binary verdicts from the Qwen3-4B judge (rich-descriptions prompt)
`judged_gemma.jsonl`	the same rollouts judged by Gemma-4-E4B (corroborating second judge)
`rsa_samples.jsonl`	recursive self-aggregation (N=16, K=4, T=5, solution format): per-step populations
`rsa_judged_qwen.jsonl`	judge verdicts on the RSA final population

Each row is keyed by data_id / image_id and carries the OVEN question and gold answer. judge_verdicts is a list of 0/1 aligned with the rollouts; RSA rows carry rsa_populations_by_step (T+1 snapshots of 16 full solution traces). Taxonomy scores are not included here: they are deterministically reproducible from these files with the evaluation code below.

Reproduce

Pipeline: run_inference.py (rollouts) -> run_judge.py (verdicts) -> score_predictions.py (taxonomy hP/hR/hF + pass@k), from the oven-mllm-eval repository. The judge is Qwen3-4B-Instruct with the rich-descriptions prompt; RSA uses N=16, K=4, T=5.

Provenance

MSc thesis, University of Trento (Juan Camacho Mohedano). Benchmark: OVEN (Hu et al., ICCV 2023).

Downloads last month: 30

Total file size:

114 GB

Collection including jucamohedano/oven-qwen3-vl-eval-traces

OVEN Qwen3-VL — evaluation traces

Collection

Qwen3-VL (2B/4B/8B/32B) rollouts + LM-judge verdicts on OVEN, from my MSc thesis. • 1 item • Updated 4 days ago