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
hash: string
code: string
distinct_chunks: int64
repo: string
steps: list<item: struct<from: string, to: string, files_changed: int64, n_chunks: int64, files_rechunked: (... 121 chars omitted)
child 0, item: struct<from: string, to: string, files_changed: int64, n_chunks: int64, files_rechunked: int64, chun (... 109 chars omitted)
child 0, from: string
child 1, to: string
child 2, files_changed: int64
child 3, n_chunks: int64
child 4, files_rechunked: int64
child 5, chunks_embedded: int64
child 6, chunks_reused: int64
child 7, incremental_s: double
child 8, full_s: double
child 9, full_chunks_embedded: int64
device: string
total_chunk_rows: int64
versions: list<item: struct<commit: string, short: string, mode: string, base: string, refs: list<item: string (... 434 chars omitted)
child 0, item: struct<commit: string, short: string, mode: string, base: string, refs: list<item: string>, n_files: (... 422 chars omitted)
child 0, commit: string
child 1, short: string
child 2, mode: string
child 3, base: string
child 4, refs: list<item: string>
child 0, item: string
child 5, n_files: int64
child 6, n_chunks: int64
child 7, files_rechunked: int64
child 8, files_carried: int64
child 9, files_deleted: int64
child 10, chunks_carried: int64
child 11, chunks_embedded: int64
child 12, chunks_reused: int64
child 13, embeddings_new: i
...
tem: struct<path: string, name: strin (... 46 chars omitted)
child 0, item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: string, lines: l (... 34 chars omitted)
child 0, query: string
child 1, total_ms: double
child 2, hits: list<item: struct<path: string, name: string, lines: list<item: int64>, score: double>>
child 0, item: struct<path: string, name: string, lines: list<item: int64>, score: double>
child 0, path: string
child 1, name: string
child 2, lines: list<item: int64>
child 0, item: int64
child 3, score: double
child 3, v2.32.3: list<item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: strin (... 46 chars omitted)
child 0, item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: string, lines: l (... 34 chars omitted)
child 0, query: string
child 1, total_ms: double
child 2, hits: list<item: struct<path: string, name: string, lines: list<item: int64>, score: double>>
child 0, item: struct<path: string, name: string, lines: list<item: int64>, score: double>
child 0, path: string
child 1, name: string
child 2, lines: list<item: int64>
child 0, item: int64
child 3, score: double
to
{'repo': Value('string'), 'model_id': Value('string'), 'embedder': Value('string'), 'device': Value('string'), 'versions': List({'commit': Value('string'), 'short': Value('string'), 'mode': Value('string'), 'base': Value('string'), 'refs': List(Value('string')), 'n_files': Value('int64'), 'n_chunks': Value('int64'), 'files_rechunked': Value('int64'), 'files_carried': Value('int64'), 'files_deleted': Value('int64'), 'chunks_carried': Value('int64'), 'chunks_embedded': Value('int64'), 'chunks_reused': Value('int64'), 'embeddings_new': Value('int64'), 'chunk_s': Value('float64'), 'embed_s': Value('float64'), 'save_s': Value('float64'), 'build_s': Value('float64'), 'git_parent': Value('string'), 'committed_at': Value('timestamp[s]'), 'subject': Value('string'), 'model_id': Value('string'), 'built_at': Value('timestamp[s]'), 'ref': Value('string'), 'full_build_s': Value('float64'), 'full_chunks_embedded': Value('int64')}), 'steps': List({'from': Value('string'), 'to': Value('string'), 'files_changed': Value('int64'), 'n_chunks': Value('int64'), 'files_rechunked': Value('int64'), 'chunks_embedded': Value('int64'), 'chunks_reused': Value('int64'), 'incremental_s': Value('float64'), 'full_s': Value('float64'), 'full_chunks_embedded': Value('int64')}), 'examples': {'v2.0.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.12.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.25.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.32.3': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})})}, 'distinct_chunks': Value('int64'), 'total_chunk_rows': 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 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
hash: string
code: string
distinct_chunks: int64
repo: string
steps: list<item: struct<from: string, to: string, files_changed: int64, n_chunks: int64, files_rechunked: (... 121 chars omitted)
child 0, item: struct<from: string, to: string, files_changed: int64, n_chunks: int64, files_rechunked: int64, chun (... 109 chars omitted)
child 0, from: string
child 1, to: string
child 2, files_changed: int64
child 3, n_chunks: int64
child 4, files_rechunked: int64
child 5, chunks_embedded: int64
child 6, chunks_reused: int64
child 7, incremental_s: double
child 8, full_s: double
child 9, full_chunks_embedded: int64
device: string
total_chunk_rows: int64
versions: list<item: struct<commit: string, short: string, mode: string, base: string, refs: list<item: string (... 434 chars omitted)
child 0, item: struct<commit: string, short: string, mode: string, base: string, refs: list<item: string>, n_files: (... 422 chars omitted)
child 0, commit: string
child 1, short: string
child 2, mode: string
child 3, base: string
child 4, refs: list<item: string>
child 0, item: string
child 5, n_files: int64
child 6, n_chunks: int64
child 7, files_rechunked: int64
child 8, files_carried: int64
child 9, files_deleted: int64
child 10, chunks_carried: int64
child 11, chunks_embedded: int64
child 12, chunks_reused: int64
child 13, embeddings_new: i
...
tem: struct<path: string, name: strin (... 46 chars omitted)
child 0, item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: string, lines: l (... 34 chars omitted)
child 0, query: string
child 1, total_ms: double
child 2, hits: list<item: struct<path: string, name: string, lines: list<item: int64>, score: double>>
child 0, item: struct<path: string, name: string, lines: list<item: int64>, score: double>
child 0, path: string
child 1, name: string
child 2, lines: list<item: int64>
child 0, item: int64
child 3, score: double
child 3, v2.32.3: list<item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: strin (... 46 chars omitted)
child 0, item: struct<query: string, total_ms: double, hits: list<item: struct<path: string, name: string, lines: l (... 34 chars omitted)
child 0, query: string
child 1, total_ms: double
child 2, hits: list<item: struct<path: string, name: string, lines: list<item: int64>, score: double>>
child 0, item: struct<path: string, name: string, lines: list<item: int64>, score: double>
child 0, path: string
child 1, name: string
child 2, lines: list<item: int64>
child 0, item: int64
child 3, score: double
to
{'repo': Value('string'), 'model_id': Value('string'), 'embedder': Value('string'), 'device': Value('string'), 'versions': List({'commit': Value('string'), 'short': Value('string'), 'mode': Value('string'), 'base': Value('string'), 'refs': List(Value('string')), 'n_files': Value('int64'), 'n_chunks': Value('int64'), 'files_rechunked': Value('int64'), 'files_carried': Value('int64'), 'files_deleted': Value('int64'), 'chunks_carried': Value('int64'), 'chunks_embedded': Value('int64'), 'chunks_reused': Value('int64'), 'embeddings_new': Value('int64'), 'chunk_s': Value('float64'), 'embed_s': Value('float64'), 'save_s': Value('float64'), 'build_s': Value('float64'), 'git_parent': Value('string'), 'committed_at': Value('timestamp[s]'), 'subject': Value('string'), 'model_id': Value('string'), 'built_at': Value('timestamp[s]'), 'ref': Value('string'), 'full_build_s': Value('float64'), 'full_chunks_embedded': Value('int64')}), 'steps': List({'from': Value('string'), 'to': Value('string'), 'files_changed': Value('int64'), 'n_chunks': Value('int64'), 'files_rechunked': Value('int64'), 'chunks_embedded': Value('int64'), 'chunks_reused': Value('int64'), 'incremental_s': Value('float64'), 'full_s': Value('float64'), 'full_chunks_embedded': Value('int64')}), 'examples': {'v2.0.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.12.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.25.0': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})}), 'v2.32.3': List({'query': Value('string'), 'total_ms': Value('float64'), 'hits': List({'path': Value('string'), 'name': Value('string'), 'lines': List(Value('int64')), 'score': Value('float64')})})}, 'distinct_chunks': Value('int64'), 'total_chunk_rows': 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.
repo-versions-index
Function/class-level code index of psf/requests at
4 commits, for the code-search Space.
Built with retrieval/versioned from https://github.com/madhurgrover-cs/TASIE (branch phase2-versions).
- Model:
madhurr382/coderankembed-apps-ft@c9f6787afd037f4981130ce48335723ed7e65057(queries: desc-io cleanup +Represent this query for searching relevant code:) - Chunks: Python functions / methods / class headers / top-level blocks via
ast; one chunk per other text file - Storage is shared: each distinct chunk's code and vector is stored once (
content.jsonl,embeddings/), andversions/<commit>/chunks.jsonllists the chunks of that commit. - Build device: cuda.
build_s= incremental build from the previous row (first row: full);full_build_s= cold full build of the same commit (no cache).
| ref | commit | date | files | chunks | mode | files re-chunked | chunks embedded | chunks reused | build_s | full_build_s |
|---|---|---|---|---|---|---|---|---|---|---|
| v2.0.0 | 4401620 |
2013-09-24 | 109 | 740 | full | 116 | 740 | 0 | 13.3 | 14.6 |
| v2.12.0 | 362da46 |
2016-11-15 | 140 | 1234 | incremental | 140 | 876 | 358 | 18.4 | 26.0 |
| v2.25.0 | 03957eb |
2020-11-11 | 81 | 697 | incremental | 83 | 271 | 426 | 6.8 | 16.1 |
| v2.32.3 | 0e322af |
2024-05-29 | 107 | 773 | incremental | 100 | 598 | 175 | 14.4 | 17.8 |
Adjacent releases (a typical change), incremental vs cold full build:
| from → to | files changed | chunks | re-chunked files | embedded | reused | incremental_s | full_s |
|---|---|---|---|---|---|---|---|
| v2.32.2 → v2.32.3 | 3 | 773 | 3 | 6 | 767 | 0.42 | 18.93 |
| v2.31.0 → v2.32.0 | 96 | 772 | 76 | 121 | 651 | 4.64 | 18.28 |
The indexed code is from psf/requests (Apache-2.0).
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