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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'enable_thinking', 'submitted_by', 'apply_chat_template', 'reasoning_parser'})
This happened while the json dataset builder was generating data using
hf://datasets/e-mon/leaderboard-requests-v2/meta-llama/Llama-3.2-1B-Instruct_2025-10-26T16-36-02Z.json (at revision ea35feaab1ba409495ecdc6c2536a28c7c9bfb69)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model_type: string
model: string
precision: string
revision: string
add_special_tokens: string
llm_jp_eval_version: string
vllm_version: string
status: string
submitted_time: timestamp[s]
submitted_by: string
apply_chat_template: bool
enable_thinking: bool
reasoning_parser: string
to
{'model_type': Value('string'), 'model': Value('string'), 'precision': Value('string'), 'revision': Value('string'), 'add_special_tokens': Value('string'), 'llm_jp_eval_version': Value('string'), 'vllm_version': Value('string'), 'status': Value('string'), 'submitted_time': Value('timestamp[s]')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'enable_thinking', 'submitted_by', 'apply_chat_template', 'reasoning_parser'})
This happened while the json dataset builder was generating data using
hf://datasets/e-mon/leaderboard-requests-v2/meta-llama/Llama-3.2-1B-Instruct_2025-10-26T16-36-02Z.json (at revision ea35feaab1ba409495ecdc6c2536a28c7c9bfb69)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
model_type
string | model
string | precision
string | revision
string | add_special_tokens
string | llm_jp_eval_version
string | vllm_version
string | status
string | submitted_time
timestamp[us] |
|---|---|---|---|---|---|---|---|---|
â• : instruction-tuned
|
FINGU-AI/FINGU-2.5-instruct-32B-v1
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-25T12:37:52 |
🔶 : fine-tuned
|
Qwen/QwQ-32B-Preview
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-13T05:15:34 |
â• : instruction-tuned
|
Qwen/Qwen1.5-0.5B-Chat
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-26T03:42:31 |
🟢 : pretrained
|
Qwen/Qwen2.5-14B
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-13T05:57:35 |
🔶 : fine-tuned
|
Qwen/Qwen2.5-32B
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-13T06:37:45 |
â• : instruction-tuned
|
llm-jp/llm-jp-3-3.7b-instruct
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FAILED
| 2025-10-13T11:13:37 |
â• : instruction-tuned
|
meta-llama/Llama-3.2-1B-Instruct
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-26T16:36:02 |
â• : instruction-tuned
|
meta-llama/Llama-3.2-3B-Instruct
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FAILED
| 2025-10-26T16:21:44 |
â• : instruction-tuned
|
yellowtown/Japanese-Qwen2.5-14B-Instruct-V1
|
bfloat16
|
main
|
False
|
v2.0.0
|
v0.11.0
|
FINISHED
| 2025-10-12T13:18:43 |
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