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Datasets:
Mike0021
/
claude-kimi-k3-game-session

Languages:
English
Size:
n<1K
Tags:
agent-traces
claude-code
kimi-k3
game-development
threejs
synthetic-data
License:
Dataset card Files
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Dataset Viewer
Duplicate
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
assigned_secret_replacements: int64
bearer_token_replacements: int64
binary_blobs_replaced: int64
binary_encoded_chars_removed: int64
huggingface_token_replacements: int64
identifier_fields_replaced: int64
input_lines: int64
openrouter_key_replacements: int64
output_lines: int64
private_identifiers_or_paths_replaced: int64
sanitized_bytes: int64
sanitized_sha256: string
sanitizer_version: int64
source_bytes: int64
source_sha256: string
telegram_bot_token_replacements: int64
private_root_path_occurrences: int64
openrouter_key_patterns: int64
private_hf_username_occurrences: int64
huggingface_token_patterns: int64
email_like_strings: int64
telegram_bot_token_patterns: int64
actual_loaded_secret_values_present: int64
long_base64_runs: int64
original_chat_id_occurrences: int64
scan_status: string
jsonl_lines_validated: int64
to
{'actual_loaded_secret_values_present': Value('int64'), 'openrouter_key_patterns': Value('int64'), 'huggingface_token_patterns': Value('int64'), 'telegram_bot_token_patterns': Value('int64'), 'original_chat_id_occurrences': Value('int64'), 'private_hf_username_occurrences': Value('int64'), 'private_root_path_occurrences': Value('int64'), 'long_base64_runs': Value('int64'), 'email_like_strings': Value('int64'), 'jsonl_lines_validated': Value('int64'), 'scan_status': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 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
              assigned_secret_replacements: int64
              bearer_token_replacements: int64
              binary_blobs_replaced: int64
              binary_encoded_chars_removed: int64
              huggingface_token_replacements: int64
              identifier_fields_replaced: int64
              input_lines: int64
              openrouter_key_replacements: int64
              output_lines: int64
              private_identifiers_or_paths_replaced: int64
              sanitized_bytes: int64
              sanitized_sha256: string
              sanitizer_version: int64
              source_bytes: int64
              source_sha256: string
              telegram_bot_token_replacements: int64
              private_root_path_occurrences: int64
              openrouter_key_patterns: int64
              private_hf_username_occurrences: int64
              huggingface_token_patterns: int64
              email_like_strings: int64
              telegram_bot_token_patterns: int64
              actual_loaded_secret_values_present: int64
              long_base64_runs: int64
              original_chat_id_occurrences: int64
              scan_status: string
              jsonl_lines_validated: int64
              to
              {'actual_loaded_secret_values_present': Value('int64'), 'openrouter_key_patterns': Value('int64'), 'huggingface_token_patterns': Value('int64'), 'telegram_bot_token_patterns': Value('int64'), 'original_chat_id_occurrences': Value('int64'), 'private_hf_username_occurrences': Value('int64'), 'private_root_path_occurrences': Value('int64'), 'long_base64_runs': Value('int64'), 'email_like_strings': Value('int64'), 'jsonl_lines_validated': Value('int64'), 'scan_status': Value('string')}
              because column names don't match

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Claude Code + Kimi K3 game reconstruction session

This dataset contains the sanitized event transcript of the Claude Code harness run that produced the Nano Banana edition of the playable game:

  • Model: moonshotai/kimi-k3
  • Harness: Claude Code
  • Source run: 20260724-181438-251
  • Duration: approximately 92 minutes
  • Reported turns: 400
  • Reported language-model cost: USD 29.32
  • Workflows: 1
  • Resulting game: https://huggingface.co/spaces/Mike0021/its-poly-cube-game-imagegen
  • Original visual reference: https://x.com/ItsPolyCube/status/2080357512776229071

Files

  • data/session.sanitized.jsonl — the ordered session event stream.
  • data/meta.sanitized.json — sanitized run metadata.
  • data/completion-report.sanitized.json — sanitized runner completion record.
  • SANITIZATION_REPORT.json — line counts, replacement counts, byte counts, and source/sanitized SHA-256 digests.
  • PRIVACY_SCAN.json — post-sanitization leak-scan results.

Sanitization

The source transcript remains unchanged in private local storage. This published copy preserves all 62,223 JSONL events and their order while:

  • redacting chat, account, user, and session identifiers;
  • replacing private machine paths with stable placeholders;
  • removing recognizable API-key, bearer-token, and bot-token patterns;
  • replacing large embedded base64 media blobs with byte counts and SHA-256 digests;
  • retaining environment-variable names and tool logic where they do not reveal credential values.

The post-sanitization scan found no loaded secret values, recognizable OpenRouter/Hugging Face/Telegram token patterns, original chat ID, private home/run paths, email-like strings, or long base64 payloads.

The sanitization intentionally removes binary media content and private identifiers, so this is an exact ordered textual/tool-event trace modulo the documented privacy transformations.

Completion caveat

The harness exited successfully while the agent's final text still announced that it was about to write the asset ledger and rerun verification. The game was subsequently built and smoke-tested separately before deployment. This dataset records the actual session as it happened and does not rewrite that premature ending.
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Models trained or fine-tuned on Mike0021/claude-kimi-k3-game-session