Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
arena_version: string
methodology_version: string
event_id: string
event_type: string
round_id: string
created_at: string
winner: string
confidence: double
reason: string
commentary: string
judge: struct<provider: string, model: string, revision: null, temperature: double, top_p: double, max_toke (... 66 chars omitted)
child 0, provider: string
child 1, model: string
child 2, revision: null
child 3, temperature: double
child 4, top_p: double
child 5, max_tokens: int64
child 6, system_prompt_version: string
child 7, response_format: string
malformed_response: bool
matchmaking: struct<same_organization_excluded: bool, under_2x_size_spread: bool, policy_version: string, selecti (... 15 chars omitted)
child 0, same_organization_excluded: bool
child 1, under_2x_size_spread: bool
child 2, policy_version: string
child 3, selection_seed: int64
candidate_count: int64
generation_settings: struct<max_new_tokens: int64, temperature: double, top_p: double, repetition_penalty: double, do_sam (... 32 chars omitted)
child 0, max_new_tokens: int64
child 1, temperature: double
child 2, top_p: double
child 3, repetition_penalty: double
child 4, do_sample: bool
child 5, sampling_seed: int64
runtime: struct<backend: string, device: string, torch_version: string, transformers_version: string, python_ (... 95 chars omitted)
child 0, backend: string
child 1, device: string
child 2, torch_version: string
child 3, transformers_version:
...
ing
mode: string
track: string
responses: list<item: struct<label: string, model: string, repo_id: string, revision: string, output: string, o (... 482 chars omitted)
child 0, item: struct<label: string, model: string, repo_id: string, revision: string, output: string, output_chara (... 470 chars omitted)
child 0, label: string
child 1, model: string
child 2, repo_id: string
child 3, revision: string
child 4, output: string
child 5, output_characters: int64
child 6, output_words: int64
child 7, pii_redactions: int64
child 8, generation_status: string
child 9, stop_reason: string
child 10, timings: struct<load_seconds: double, generation_seconds: double, time_to_first_chunk_seconds: double, tokens (... 20 chars omitted)
child 0, load_seconds: double
child 1, generation_seconds: double
child 2, time_to_first_chunk_seconds: double
child 3, tokens_per_second: double
child 11, input_tokens: int64
child 12, output_tokens: int64
child 13, chat_template_used: bool
child 14, chat_template_fallback: bool
child 15, chat_template_digest: string
child 16, effective_prompt: string
child 17, input_was_truncated: bool
child 18, context_limit: int64
child 19, effective_input_limit: int64
random_seed: int64
matchmaking_seed: int64
duration_seconds: double
prompt: string
position_seed: int64
model_family: string
prompt_category: string
to
{'schema_version': Value('int64'), 'arena_version': Value('string'), 'methodology_version': Value('string'), 'event_id': Value('string'), 'event_type': Value('string'), 'round_id': Value('string'), 'created_at': Value('string'), 'track': Value('string'), 'mode': Value('string'), 'model_family': Value('string'), 'prompt_category': Value('string'), 'prompt': Value('string'), 'prompt_pii_redactions': Value('int64'), 'candidate_count': Value('int64'), 'responses': List({'label': Value('string'), 'model': Value('string'), 'repo_id': Value('string'), 'revision': Value('string'), 'output': Value('string'), 'output_characters': Value('int64'), 'output_words': Value('int64'), 'pii_redactions': Value('int64'), 'generation_status': Value('string'), 'stop_reason': Value('string'), 'timings': {'load_seconds': Value('float64'), 'generation_seconds': Value('float64'), 'time_to_first_chunk_seconds': Value('float64'), 'tokens_per_second': Value('float64')}, 'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'chat_template_used': Value('bool'), 'chat_template_fallback': Value('bool'), 'chat_template_digest': Value('string'), 'effective_prompt': Value('string'), 'input_was_truncated': Value('bool'), 'context_limit': Value('int64'), 'effective_input_limit': Value('int64')}), 'generation_settings': {'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'repetition_penalty': Value('float64'), 'do_sample': Value('bool'), 'sampling_seed': Value('int64')}, 'matchmaking': {'same_organization_excluded': Value('bool'), 'under_2x_size_spread': Value('bool'), 'policy_version': Value('string'), 'selection_seed': Value('int64')}, 'random_seed': Value('int64'), 'matchmaking_seed': Value('int64'), 'position_seed': Value('int64'), 'runtime': {'backend': Value('string'), 'device': Value('string'), 'torch_version': Value('string'), 'transformers_version': Value('string'), 'python_version': Value('string'), 'space_commit': Value('null'), 'hardware_class': Value('string'), 'dtype': Value('string'), 'quantization': Value('null')}, 'duration_seconds': Value('float64'), 'consent_version': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
arena_version: string
methodology_version: string
event_id: string
event_type: string
round_id: string
created_at: string
winner: string
confidence: double
reason: string
commentary: string
judge: struct<provider: string, model: string, revision: null, temperature: double, top_p: double, max_toke (... 66 chars omitted)
child 0, provider: string
child 1, model: string
child 2, revision: null
child 3, temperature: double
child 4, top_p: double
child 5, max_tokens: int64
child 6, system_prompt_version: string
child 7, response_format: string
malformed_response: bool
matchmaking: struct<same_organization_excluded: bool, under_2x_size_spread: bool, policy_version: string, selecti (... 15 chars omitted)
child 0, same_organization_excluded: bool
child 1, under_2x_size_spread: bool
child 2, policy_version: string
child 3, selection_seed: int64
candidate_count: int64
generation_settings: struct<max_new_tokens: int64, temperature: double, top_p: double, repetition_penalty: double, do_sam (... 32 chars omitted)
child 0, max_new_tokens: int64
child 1, temperature: double
child 2, top_p: double
child 3, repetition_penalty: double
child 4, do_sample: bool
child 5, sampling_seed: int64
runtime: struct<backend: string, device: string, torch_version: string, transformers_version: string, python_ (... 95 chars omitted)
child 0, backend: string
child 1, device: string
child 2, torch_version: string
child 3, transformers_version:
...
ing
mode: string
track: string
responses: list<item: struct<label: string, model: string, repo_id: string, revision: string, output: string, o (... 482 chars omitted)
child 0, item: struct<label: string, model: string, repo_id: string, revision: string, output: string, output_chara (... 470 chars omitted)
child 0, label: string
child 1, model: string
child 2, repo_id: string
child 3, revision: string
child 4, output: string
child 5, output_characters: int64
child 6, output_words: int64
child 7, pii_redactions: int64
child 8, generation_status: string
child 9, stop_reason: string
child 10, timings: struct<load_seconds: double, generation_seconds: double, time_to_first_chunk_seconds: double, tokens (... 20 chars omitted)
child 0, load_seconds: double
child 1, generation_seconds: double
child 2, time_to_first_chunk_seconds: double
child 3, tokens_per_second: double
child 11, input_tokens: int64
child 12, output_tokens: int64
child 13, chat_template_used: bool
child 14, chat_template_fallback: bool
child 15, chat_template_digest: string
child 16, effective_prompt: string
child 17, input_was_truncated: bool
child 18, context_limit: int64
child 19, effective_input_limit: int64
random_seed: int64
matchmaking_seed: int64
duration_seconds: double
prompt: string
position_seed: int64
model_family: string
prompt_category: string
to
{'schema_version': Value('int64'), 'arena_version': Value('string'), 'methodology_version': Value('string'), 'event_id': Value('string'), 'event_type': Value('string'), 'round_id': Value('string'), 'created_at': Value('string'), 'track': Value('string'), 'mode': Value('string'), 'model_family': Value('string'), 'prompt_category': Value('string'), 'prompt': Value('string'), 'prompt_pii_redactions': Value('int64'), 'candidate_count': Value('int64'), 'responses': List({'label': Value('string'), 'model': Value('string'), 'repo_id': Value('string'), 'revision': Value('string'), 'output': Value('string'), 'output_characters': Value('int64'), 'output_words': Value('int64'), 'pii_redactions': Value('int64'), 'generation_status': Value('string'), 'stop_reason': Value('string'), 'timings': {'load_seconds': Value('float64'), 'generation_seconds': Value('float64'), 'time_to_first_chunk_seconds': Value('float64'), 'tokens_per_second': Value('float64')}, 'input_tokens': Value('int64'), 'output_tokens': Value('int64'), 'chat_template_used': Value('bool'), 'chat_template_fallback': Value('bool'), 'chat_template_digest': Value('string'), 'effective_prompt': Value('string'), 'input_was_truncated': Value('bool'), 'context_limit': Value('int64'), 'effective_input_limit': Value('int64')}), 'generation_settings': {'max_new_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'repetition_penalty': Value('float64'), 'do_sample': Value('bool'), 'sampling_seed': Value('int64')}, 'matchmaking': {'same_organization_excluded': Value('bool'), 'under_2x_size_spread': Value('bool'), 'policy_version': Value('string'), 'selection_seed': Value('int64')}, 'random_seed': Value('int64'), 'matchmaking_seed': Value('int64'), 'position_seed': Value('int64'), 'runtime': {'backend': Value('string'), 'device': Value('string'), 'torch_version': Value('string'), 'transformers_version': Value('string'), 'python_version': Value('string'), 'space_commit': Value('null'), 'hardware_class': Value('string'), 'dtype': Value('string'), 'quantization': Value('null')}, 'duration_seconds': Value('float64'), 'consent_version': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SLM Arena Matches
Public records from SLM Arena. Each completed round has one JSON file under rounds/, named by a random round ID. The same file is updated when AI commentary or a human vote arrives. No sample rounds were inserted for setup.
Records contain the prompt, response order, model names and repository IDs, generated outputs, the GPT OSS 120B commentary and parsed winner when available, and an optional human winner and comment. Winners are response labels (A through E); ties and no-clear-winner decisions are stored as TIE and NO_CLEAR_WINNER. Missing decisions are null.
The Arena records completed rounds by default. Users can check Do not publish this round before running a match to opt out. The Arena does not intentionally collect account identifiers or IP addresses, but prompts and comments may contain information entered by users. Records are public and can be read or downloaded by anyone. Analytics count only valid model winner labels; ties and unavailable judgments do not create a model win.
The leaderboard reflects recorded rounds, not a controlled evaluation. Model selection, prompts, generation settings, missing outputs, and whether a human votes can all affect results. These counts should not be interpreted as a general model-quality ranking.
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