Datasets:
The dataset viewer is not available for this split.
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
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 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SyncRAG research artifact (manuscript v9, amendment A39)
Research artifact for the manuscript "[Experiment, Analysis, and Benchmark] Consistency and Recovery in Derived Vector Pipelines: A Reproducible Fault-Injection Study" by Chitrapradha Ganesan (Independent Researcher, Dallas, Texas, USA; ORCID 0009-0009-1305-1724); earlier working title: "SyncRAG: Snapshot-Consistent Publication and Recovery of Derived Vector Artifacts over Mutable Knowledge Repositories". Status: submitted for peer review (2026); not accepted or published; no DOI has been assigned. Reference protocol studied in the paper: SyncRAG.
Files
| File | Bytes | SHA-256 | Contents |
|---|---|---|---|
syncrag_record_A_code_data_processed.zip |
1,070,730,872 | c49218265ab7bda9a40cd1cca61a165d472d16b392809d823f9ac12fcdbac0b8 | code, protocol with amendments A1-A39, data, processed results, tables and figures, manuscript v9 sources and PDF, audits |
syncrag_record_B1_raw_sqlite_and_superseded.zip |
16,802,601,010 | fcec9037de7e607824c24e4c8477fd50240be1204bab951bed1078e531d1b031 | raw logs, original campaigns (unchanged) |
syncrag_record_B2_raw_pg_and_performance.zip |
17,601,389,651 | 1584594374995f00990971c9fa343168ea162dc337324576b81e68583cc5342c | raw logs, original campaigns (unchanged) |
syncrag_record_C_raw_followup_campaigns.zip |
2,906,924,598 | 4b4f3ecc04039641b599b7040a84b9bf3b321b16c64007179e94a90dd9b46441 | raw logs of follow-up campaigns (unchanged) |
syncrag_record_D_raw_elicit_e1_e4.zip |
4,246,828,749 | 29d8fae4b2e9368b1cd94c021823fc8dd224020ff929cc5b3f5cdc8be9ab94c1 | raw logs of experiments E1-E4, amendments A35-A38 (unchanged) |
syncrag_record_E_raw_elicit_e5.zip |
1,633,048,301 | a525e2cd5a600fc3523cd4ecda322f0abf2785bbb9369420f01e3dc9705cdf28 | raw logs of experiment E5, amendment A39 (unchanged) |
ZIP_SHA256.txt |
the same checksums |
Unzip Record A first, then Records D and E onto the same root with unzip -o. SHA256_MANIFEST.txt inside Records A and E lists every
file with its SHA-256. Manuscript PDF (v9) inside Record A: 06_manuscript/Ganesan_ICDE2027_EAB_v9.pdf, SHA-256
685e19a2b5bead7023cdb6858fa1d783efc63f118c0dc1ef714fa31e94c1466c.
What is in the records
Record A: code (reference implementation, baselines, fault-injection harness, analysis, 88 tests), the preregistered and amended protocol
documents with freeze hashes and outcome notes, the two revision-event streams with data card, processed results, tables, figures and
generated macros, run manifests, the manuscript sources, and 06_manuscript/audits_v9/. README.md and REPRODUCE.md inside explain
layout, hardware and software, reproduction commands and known limitations.
Records B1, B2, C: per-run logs of the original campaigns and follow-ups. Records D and E: raw logs of the post-review experiments.
Generative AI assistance
Claude Code (Anthropic) supported the research software, tests, analysis scripts, protocol documents, Fig. 1 source and the drafting and revision of the manuscript (abstract and Sections I-IX), and executed the post-review A35-A39 campaigns and analysis scripts under the author's direction; the preserved records do not identify who launched the original campaigns. Elicit supported literature comparison, citation and guideline checks and language editing. The full statement is the printed acknowledgment of the paper and 06_manuscript/AI_ASSISTANCE_DISCLOSURE.md. Earlier disclosure text in 02_protocol/PREREGISTRATION.md (amendment A32) and in AI_ASSISTANCE_DISCLOSURE_HISTORICAL_2026-10.md is historical and superseded by the v9 statement.
Limits of the evidence (see the paper's Section VIII)
Single publisher; two documentation histories; small indexes; one machine; synthetic fault injection; strengthened baselines built by the author with the assistant after review; partial independent validation of the reference state; no multi-writer, distributed or answer-quality evaluation.
Licences
Code, documents and processed results: MIT, (c) 2026 Chitrapradha Ganesan. The revision-event streams under 03_data/ and the raw
logs (which contain chunks of the source documents) keep their upstream licences: Kubernetes documentation (kubernetes/website),
Creative Commons Attribution 4.0 International, (c) The Kubernetes Authors; PostgreSQL manual sources (postgres/postgres,
doc/src/sgml), PostgreSQL License, Portions Copyright (c) 1996-2026, PostgreSQL Global Development Group. Attribution text is in
03_data/DATA_CARD.md of Record A.
Citation
Until the manuscript is published, cite this dataset by its URL (https://huggingface.co/datasets/Chitrapradha/syncrag-raw-logs) and the manuscript title above.
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