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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 342, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 345, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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.

forge-neoforge-cpt-v9-full — CPT-корпус по моддингу Minecraft (Forge 1.20.1 + NeoForge 1.21.1)

Полный корпус для continued pretraining: 484 410 768 токенов (Qwen/Qwen3.5-2B, vocab 248 070), 12 620 записей, 32 шафла по ~60 МБ. Публикуется единым пакетом forge-neoforge-cpt-v9-full.zip (содержимое — без изменений; упаковка обновлена).

Состав корпуса

Кат. Токены Доля Комментарий
cat1 моды 433 111 753 89.4% исходники модов, round-robin breadth
cat2 платформа 3 414 443 0.7% Forge/NeoForge-патчи, FML, патчи mcp_config
cat3 mixin-фреймворк 821 927 0.2% Mixin + MixinExtras + адаптеры
cat5 маппинги 19 525 646 4.0% 5a crosswalk + 5b raw (tsrg/yarn/client.txt)
cat6 доки/метаданные 16 909 546 3.5% README/docs + mods.toml/mixins.json/gradle
cat7 русский 10 627 453 2.2% ru_ru.json модов + ru-доки + 1962 статьи ру-вики

По версиям Minecraft: 1.20.1 — 81.6M токенов; 1.20.1+1.21.1 (мультилоадер) — 335.0M; 1.21.1 — 67.8M.

Структура пакета

  • final/shard-public-*.jsonl (13) и final/shard-local-*.jsonl (19) — записи корпуса (две серии — исторические имена каналов паковщика; вместе образуют единый корпус)
  • final/manifest.jsonl — метаданные всех записей; final/pack_summary.json, final/index.csv — сводки
  • crosswalk/classes-1.20.1.tsv, classes-1.21.1.tsv — 4-way кроссволки классов (official/srg/intermediary/yarn/obf); 7075 и 7878 классов, 100% покрытия
  • sources-mappings/ — raw-маппинги обеих версий (joined.tsrg, yarn.tiny, client.txt)
  • report.md — отчёт о сборке; SHA256SUMS.txt — чексуммы файлов пакета

Схема записи

{id, category, subcategory, oversample, lang, source_url, mc_version, mapping_layer,
 n_files, n_chars, n_tokens, sha256, text}

sha256 — хеш поля text (контроль целостности); source_url — ссылка на источник каждой записи (provenance); text — точный тренировочный текст.

Download

pip install -U huggingface_hub
python -c "
from huggingface_hub import hf_hub_download
p = hf_hub_download(repo_id='ComerX/forge-neoforge-cpt-v9-full',
                    repo_type='dataset',
                    filename='forge-neoforge-cpt-v9-full.zip')
print(p)
"

или curl:

curl -L -o forge-neoforge-cpt-v9-full.zip \
  https://huggingface.co/datasets/ComerX/forge-neoforge-cpt-v9-full/resolve/main/forge-neoforge-cpt-v9-full.zip

Целостность

  • forge-neoforge-cpt-v9-full.zip.sha256 — чексумма архива
  • внутри пакета: SHA256SUMS.txt (sha256sum -c SHA256SUMS.txt)
  • суммы n_tokens в manifest.jsonl сходятся с pack_summary.json: 484 410 768 токенов / 12 620 записей
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