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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
version: string
truncation: null
padding: null
added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
  child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool,  (... 14 chars omitted)
      child 0, id: int64
      child 1, content: string
      child 2, single_word: bool
      child 3, lstrip: bool
      child 4, rstrip: bool
      child 5, normalized: bool
      child 6, special: bool
normalizer: null
pre_tokenizer: struct<type: string>
  child 0, type: string
post_processor: null
decoder: null
model: struct<type: string, dropout: null, unk_token: null, continuing_subword_prefix: null, end_of_word_su (... 26316 chars omitted)
  child 0, type: string
  child 1, dropout: null
  child 2, unk_token: null
  child 3, continuing_subword_prefix: null
  child 4, end_of_word_suffix: null
  child 5, fuse_unk: bool
  child 6, byte_fallback: bool
  child 7, ignore_merges: bool
  child 8, vocab: struct<[PAD]: int64, [UNK]: int64, [BOS]: int64, [EOS]: int64, [SEP]: int64, 1: int64, 2: int64, 3:  (... 26098 chars omitted)
      child 0, [PAD]: int64
      child 1, [UNK]: int64
      child 2, [BOS]: int64
      child 3, [EOS]: int64
      child 4, [SEP]: int64
      child 5, 1: int64
      child 6, 2: int64
      child 7, 3: int64
      child 8, 4: int64
      child 9, 5: int64
      child 10, 6: int64
      child 11, 7: int64
      child 12, 8: int64
...
t64
      child 1981, f7e8n: int64
      child 1982, e7f8b: int64
      child 1983, d7e8n: int64
      child 1984, d7e8r: int64
      child 1985, f2f1b: int64
      child 1986, g2f1r: int64
      child 1987, e2f1n: int64
      child 1988, f7e8r: int64
      child 1989, f7g8r: int64
      child 1990, f2e1r: int64
      child 1991, c7b8r: int64
      child 1992, a2b1r: int64
      child 1993, g7f8b: int64
      child 1994, g7f8n: int64
      child 1995, d7e8b: int64
      child 1996, e2d1n: int64
      child 1997, b7c8n: int64
      child 1998, b7c8r: int64
      child 1999, e2f1b: int64
      child 2000, d2e1b: int64
      child 2001, h2g1n: int64
      child 2002, h2g1r: int64
      child 2003, h7g8r: int64
      child 2004, d2c1n: int64
      child 2005, f2e1n: int64
      child 2006, b2c1r: int64
      child 2007, b7a8n: int64
      child 2008, b7a8r: int64
      child 2009, c2d1b: int64
      child 2010, c2d1r: int64
      child 2011, f2g1b: int64
      child 2012, f2g1n: int64
      child 2013, f2g1r: int64
      child 2014, g2h1r: int64
      child 2015, c2b1b: int64
      child 2016, c2b1n: int64
      child 2017, a7b8r: int64
  child 9, merges: list<item: list<item: string>>
      child 0, item: list<item: string>
          child 0, item: string
source_size: int64
min_moves: int64
n_sequences: int64
created_at: string
format: string
sources: list<item: string>
  child 0, item: string
urls: list<item: string>
  child 0, item: string
max_games: int64
source_mtime: double
to
{'urls': List(Value('string')), 'format': Value('string'), 'max_games': Value('int64'), 'min_moves': Value('int64'), 'sources': List(Value('string')), 'source_size': Value('int64'), 'source_mtime': Value('float64'), 'n_sequences': Value('int64'), 'created_at': 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
              version: string
              truncation: null
              padding: null
              added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
                child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool,  (... 14 chars omitted)
                    child 0, id: int64
                    child 1, content: string
                    child 2, single_word: bool
                    child 3, lstrip: bool
                    child 4, rstrip: bool
                    child 5, normalized: bool
                    child 6, special: bool
              normalizer: null
              pre_tokenizer: struct<type: string>
                child 0, type: string
              post_processor: null
              decoder: null
              model: struct<type: string, dropout: null, unk_token: null, continuing_subword_prefix: null, end_of_word_su (... 26316 chars omitted)
                child 0, type: string
                child 1, dropout: null
                child 2, unk_token: null
                child 3, continuing_subword_prefix: null
                child 4, end_of_word_suffix: null
                child 5, fuse_unk: bool
                child 6, byte_fallback: bool
                child 7, ignore_merges: bool
                child 8, vocab: struct<[PAD]: int64, [UNK]: int64, [BOS]: int64, [EOS]: int64, [SEP]: int64, 1: int64, 2: int64, 3:  (... 26098 chars omitted)
                    child 0, [PAD]: int64
                    child 1, [UNK]: int64
                    child 2, [BOS]: int64
                    child 3, [EOS]: int64
                    child 4, [SEP]: int64
                    child 5, 1: int64
                    child 6, 2: int64
                    child 7, 3: int64
                    child 8, 4: int64
                    child 9, 5: int64
                    child 10, 6: int64
                    child 11, 7: int64
                    child 12, 8: int64
              ...
              t64
                    child 1981, f7e8n: int64
                    child 1982, e7f8b: int64
                    child 1983, d7e8n: int64
                    child 1984, d7e8r: int64
                    child 1985, f2f1b: int64
                    child 1986, g2f1r: int64
                    child 1987, e2f1n: int64
                    child 1988, f7e8r: int64
                    child 1989, f7g8r: int64
                    child 1990, f2e1r: int64
                    child 1991, c7b8r: int64
                    child 1992, a2b1r: int64
                    child 1993, g7f8b: int64
                    child 1994, g7f8n: int64
                    child 1995, d7e8b: int64
                    child 1996, e2d1n: int64
                    child 1997, b7c8n: int64
                    child 1998, b7c8r: int64
                    child 1999, e2f1b: int64
                    child 2000, d2e1b: int64
                    child 2001, h2g1n: int64
                    child 2002, h2g1r: int64
                    child 2003, h7g8r: int64
                    child 2004, d2c1n: int64
                    child 2005, f2e1n: int64
                    child 2006, b2c1r: int64
                    child 2007, b7a8n: int64
                    child 2008, b7a8r: int64
                    child 2009, c2d1b: int64
                    child 2010, c2d1r: int64
                    child 2011, f2g1b: int64
                    child 2012, f2g1n: int64
                    child 2013, f2g1r: int64
                    child 2014, g2h1r: int64
                    child 2015, c2b1b: int64
                    child 2016, c2b1n: int64
                    child 2017, a7b8r: int64
                child 9, merges: list<item: list<item: string>>
                    child 0, item: list<item: string>
                        child 0, item: string
              source_size: int64
              min_moves: int64
              n_sequences: int64
              created_at: string
              format: string
              sources: list<item: string>
                child 0, item: string
              urls: list<item: string>
                child 0, item: string
              max_games: int64
              source_mtime: double
              to
              {'urls': List(Value('string')), 'format': Value('string'), 'max_games': Value('int64'), 'min_moves': Value('int64'), 'sources': List(Value('string')), 'source_size': Value('int64'), 'source_mtime': Value('float64'), 'n_sequences': Value('int64'), 'created_at': Value('string')}
              because column names don't match

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nabin2004/nebium-lichess-uci

Processed Lichess games as space-separated UCI move sequences (moves.txt, 115628 games) plus tokenizer.json and manifest.json. Built by Nebium so later runs can skip PGN parsing.

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