Dataset Viewer
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
id: string
repository: string
sha: string
path: string
start_byte: int64
end_byte: int64
start_line: int64
kind: string
has_javadoc: bool
has_inline_comment: bool
text: string
test_authorization_file: string
sentinel_corruption_examples: list<item: struct<id: string, original: string, input: string, target: string, hidden_tokens: int64, (... 15 chars omitted)
child 0, item: struct<id: string, original: string, input: string, target: string, hidden_tokens: int64, spans: int (... 3 chars omitted)
child 0, id: string
child 1, original: string
child 2, input: string
child 3, target: string
child 4, hidden_tokens: int64
child 5, spans: int64
at_utc: string
length_policy: string
chronological_stages: list<item: struct<stage: string, before: int64, removed: int64, after: int64, reason: string>>
child 0, item: struct<stage: string, before: int64, removed: int64, after: int64, reason: string>
child 0, stage: string
child 1, before: int64
child 2, removed: int64
child 3, after: int64
child 4, reason: string
final_repository_count: int64
source_mix: struct<with_javadoc: int64, with_inline_comment: int64>
child 0, with_javadoc: int64
child 1, with_inline_comment: int64
corpus_lengths: struct<count: int64, min: int64, p50: double, p90: double, p99: double, max: int64, mean: double, ov (... 47 chars omitted)
child 0, count: int64
child 1, min: int64
child 2, p50: double
child 3, p90: double
child 4, p99: do
...
child 4, p99: double
child 5, max: int64
child 6, mean: double
child 7, over_512_count: int64
child 8, over_512_fraction: double
child 2, either_over_512_count: int64
realized_span_statistics: struct<configured_noise_density: double, configured_mean_span_length: double, original_subword_token (... 185 chars omitted)
child 0, configured_noise_density: double
child 1, configured_mean_span_length: double
child 2, original_subword_tokens: int64
child 3, hidden_tokens_per_full_corpus_pass: int64
child 4, spans_per_full_corpus_pass: int64
child 5, realized_noise_fraction: double
child 6, realized_mean_hidden_span_length: double
child 7, rounding_note: string
collected: int64
corpus_sha256: string
length_definition: string
tokenizer_sha256: string
tokenizer_frozen: bool
final_by_source: struct<line_comment: int64, block_comment: int64, constructor_declaration: int64, javadoc: int64, me (... 228 chars omitted)
child 0, line_comment: int64
child 1, block_comment: int64
child 2, constructor_declaration: int64
child 3, javadoc: int64
child 4, method_declaration: int64
child 5, field_declaration: int64
child 6, local_variable_declaration: int64
child 7, expression_statement: int64
child 8, return_statement: int64
child 9, while_statement: int64
child 10, assert_statement: int64
child 11, class_declaration: int64
child 12, block: int64
final_instances: int64
status: string
to
{'at_utc': Value('string'), 'status': Value('string'), 'collected': Value('int64'), 'chronological_stages': List({'stage': Value('string'), 'before': Value('int64'), 'removed': Value('int64'), 'after': Value('int64'), 'reason': Value('string')}), 'final_instances': Value('int64'), 'corpus_sha256': Value('string'), 'tokenizer_sha256': Value('string'), 'test_decontamination_complete': Value('bool'), 'tokenizer_frozen': Value('bool'), 'decontamination_ledger_sha256': Value('string'), 'test_authorization_file': Value('string'), 'length_definition': Value('string'), 'length_policy': Value('string'), 'source_mix': {'with_javadoc': Value('int64'), 'with_inline_comment': Value('int64')}, 'final_by_source': {'line_comment': Value('int64'), 'block_comment': Value('int64'), 'constructor_declaration': Value('int64'), 'javadoc': Value('int64'), 'method_declaration': Value('int64'), 'field_declaration': Value('int64'), 'local_variable_declaration': Value('int64'), 'expression_statement': Value('int64'), 'return_statement': Value('int64'), 'while_statement': Value('int64'), 'assert_statement': Value('int64'), 'class_declaration': Value('int64'), 'block': Value('int64')}, 'final_repository_count': Value('int64'), 'realized_span_statistics': {'configured_noise_density': Value('float64'), 'configured_mean_span_length': Value('float64'), 'original_subword_tokens': Value('int64'), 'hidden_tokens_per_full_corpus_pass': Value('int64'), 'spans_per_full_corpus_pass': Value('int64'), 'realized_noise_
...
count': Value('int64'), 'over_512_fraction': Value('float64')}, 'output': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'either_over_512_count': Value('int64')}, 'val': {'input': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'output': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'either_over_512_count': Value('int64')}}}, 'test_lengths': Value('string'), 'tokenization_examples': List({'id': Value('string'), 'repository': Value('string'), 'sha': Value('string'), 'path': Value('string'), 'text': Value('string'), 'tokens': List(Value('string')), 'ids': List(Value('int64')), 'identifier': Value('string'), 'identifier_pieces': List(Value('string')), 'byte_roundtrip_exact': Value('bool')}), 'sentinel_corruption_examples': List({'id': Value('string'), 'original': Value('string'), 'input': Value('string'), 'target': Value('string'), 'hidden_tokens': Value('int64'), 'spans': Value('int64')})}
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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
id: string
repository: string
sha: string
path: string
start_byte: int64
end_byte: int64
start_line: int64
kind: string
has_javadoc: bool
has_inline_comment: bool
text: string
test_authorization_file: string
sentinel_corruption_examples: list<item: struct<id: string, original: string, input: string, target: string, hidden_tokens: int64, (... 15 chars omitted)
child 0, item: struct<id: string, original: string, input: string, target: string, hidden_tokens: int64, spans: int (... 3 chars omitted)
child 0, id: string
child 1, original: string
child 2, input: string
child 3, target: string
child 4, hidden_tokens: int64
child 5, spans: int64
at_utc: string
length_policy: string
chronological_stages: list<item: struct<stage: string, before: int64, removed: int64, after: int64, reason: string>>
child 0, item: struct<stage: string, before: int64, removed: int64, after: int64, reason: string>
child 0, stage: string
child 1, before: int64
child 2, removed: int64
child 3, after: int64
child 4, reason: string
final_repository_count: int64
source_mix: struct<with_javadoc: int64, with_inline_comment: int64>
child 0, with_javadoc: int64
child 1, with_inline_comment: int64
corpus_lengths: struct<count: int64, min: int64, p50: double, p90: double, p99: double, max: int64, mean: double, ov (... 47 chars omitted)
child 0, count: int64
child 1, min: int64
child 2, p50: double
child 3, p90: double
child 4, p99: do
...
child 4, p99: double
child 5, max: int64
child 6, mean: double
child 7, over_512_count: int64
child 8, over_512_fraction: double
child 2, either_over_512_count: int64
realized_span_statistics: struct<configured_noise_density: double, configured_mean_span_length: double, original_subword_token (... 185 chars omitted)
child 0, configured_noise_density: double
child 1, configured_mean_span_length: double
child 2, original_subword_tokens: int64
child 3, hidden_tokens_per_full_corpus_pass: int64
child 4, spans_per_full_corpus_pass: int64
child 5, realized_noise_fraction: double
child 6, realized_mean_hidden_span_length: double
child 7, rounding_note: string
collected: int64
corpus_sha256: string
length_definition: string
tokenizer_sha256: string
tokenizer_frozen: bool
final_by_source: struct<line_comment: int64, block_comment: int64, constructor_declaration: int64, javadoc: int64, me (... 228 chars omitted)
child 0, line_comment: int64
child 1, block_comment: int64
child 2, constructor_declaration: int64
child 3, javadoc: int64
child 4, method_declaration: int64
child 5, field_declaration: int64
child 6, local_variable_declaration: int64
child 7, expression_statement: int64
child 8, return_statement: int64
child 9, while_statement: int64
child 10, assert_statement: int64
child 11, class_declaration: int64
child 12, block: int64
final_instances: int64
status: string
to
{'at_utc': Value('string'), 'status': Value('string'), 'collected': Value('int64'), 'chronological_stages': List({'stage': Value('string'), 'before': Value('int64'), 'removed': Value('int64'), 'after': Value('int64'), 'reason': Value('string')}), 'final_instances': Value('int64'), 'corpus_sha256': Value('string'), 'tokenizer_sha256': Value('string'), 'test_decontamination_complete': Value('bool'), 'tokenizer_frozen': Value('bool'), 'decontamination_ledger_sha256': Value('string'), 'test_authorization_file': Value('string'), 'length_definition': Value('string'), 'length_policy': Value('string'), 'source_mix': {'with_javadoc': Value('int64'), 'with_inline_comment': Value('int64')}, 'final_by_source': {'line_comment': Value('int64'), 'block_comment': Value('int64'), 'constructor_declaration': Value('int64'), 'javadoc': Value('int64'), 'method_declaration': Value('int64'), 'field_declaration': Value('int64'), 'local_variable_declaration': Value('int64'), 'expression_statement': Value('int64'), 'return_statement': Value('int64'), 'while_statement': Value('int64'), 'assert_statement': Value('int64'), 'class_declaration': Value('int64'), 'block': Value('int64')}, 'final_repository_count': Value('int64'), 'realized_span_statistics': {'configured_noise_density': Value('float64'), 'configured_mean_span_length': Value('float64'), 'original_subword_tokens': Value('int64'), 'hidden_tokens_per_full_corpus_pass': Value('int64'), 'spans_per_full_corpus_pass': Value('int64'), 'realized_noise_
...
count': Value('int64'), 'over_512_fraction': Value('float64')}, 'output': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'either_over_512_count': Value('int64')}, 'val': {'input': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'output': {'count': Value('int64'), 'min': Value('int64'), 'p50': Value('float64'), 'p90': Value('float64'), 'p99': Value('float64'), 'max': Value('int64'), 'mean': Value('float64'), 'over_512_count': Value('int64'), 'over_512_fraction': Value('float64')}, 'either_over_512_count': Value('int64')}}}, 'test_lengths': Value('string'), 'tokenization_examples': List({'id': Value('string'), 'repository': Value('string'), 'sha': Value('string'), 'path': Value('string'), 'text': Value('string'), 'tokens': List(Value('string')), 'ids': List(Value('int64')), 'identifier': Value('string'), 'identifier_pieces': List(Value('string')), 'byte_roundtrip_exact': Value('bool')}), 'sentinel_corruption_examples': List({'id': Value('string'), 'original': Value('string'), 'input': Value('string'), 'target': Value('string'), 'hidden_tokens': Value('int64'), 'spans': Value('int64')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Own Java/MIT pretraining corpus
Private Hugging Face Hub copy for CSCI 680 Assignment 1, uploaded 2026-10-19 from the hash-verified local staging folder.
708,831 final instances from 10,811 retained repositories, 10-512 own BPE tokens including EOS. The exact corpus SHA-256 is 81a9e2ccede71091887b26c14fd98d147fcbf2d0e2b1c9a1076d1439d44952fa.
Instance metadata retains repository, immutable commit, file path and unit kind. Preserve all MIT copyright/license notices in license-evidence.zip. Use the frozen selection/manifests in the companion repository for provenance and source dispositions. Comments are not certified English or review advice. Literal validation/test source and target containment has no short-string exception. The test-access interpretation is the student's, not instructor approval.
The accompanying own tokenizer is required to reproduce token lengths; no supplied task data fitted it. No supplied raw TSVs or report are included. Hosting destination/access and publication remain for review.
Known limitation, found after the official runs: the containment check included one-character held-out targets, so no retained instance contains the lowercase letter "o". See the assignment repository notes.
- Downloads last month
- 35