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Crownelius
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KimiK2.5-2000x-formatted

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    TypeError
Message:      struct() takes exactly 1 positional argument (0 given)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 622, in get_module
                  dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 396, in from_dataset_card_data
                  dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
                File "/usr/local/lib/python3.14/site-packages/datasets/info.py", line 317, in _from_yaml_dict
                  yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
                                          ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                                       ~~~~~~~~~~~~~~~^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2144, in from_yaml_inner
                  return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
                                ~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2133, in from_yaml_inner
                  Value(obj["dtype"])
                  ~~~~~^^^^^^^^^^^^^^
                File "<string>", line 5, in __init__
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 553, in __post_init__
                  self.pa_type = string_to_arrow(self.dtype)
                                 ~~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 154, in string_to_arrow
                  return pa.__dict__[datasets_dtype]()
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "pyarrow/types.pxi", line 5284, in pyarrow.lib.struct
              TypeError: struct() takes exactly 1 positional argument (0 given)

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KimiK2.5-2000x (TeichAI Format)

Formatted to match TeichAI/claude-4.5-opus-high-reasoning-250x format.

Source

  • Original: crownelius/KimiK2.5-2000x
  • Original Examples: 2144
  • Converted Examples: 2144

Format 

{
  "messages": [
    {"role": "system", "content": "..."},
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "metadata": {...}
}

Files

  • train.jsonl (12.80 MB)
  • train.parquet (7.09 MB)

Converted on 2026-02-15.

Stats

Metric Value
Total prompt tokens 73,208
Total completion tokens 2,649,064
Total tokens 2,722,272
Total cost $5.86 (USD)
Average turns 1.00
Average tool calls 0.00
Average tokens per row 634.86

Cost estimated using Kimi K2.5 pricing on OpenRouter ($0.45/M input, $2.2/M output)

a dataset by Crownelius

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