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Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
quality: double
lang: string
source: string
pipeline: string
total_raw_entries: int64
timestamp: timestamp[s]
quality_threshold: double
total_gold_pairs: int64
to
{'total_raw_entries': Value('int64'), 'total_gold_pairs': Value('int64'), 'source': Value('string'), 'quality_threshold': Value('float64'), 'pipeline': Value('string'), 'timestamp': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
quality: double
lang: string
source: string
pipeline: string
total_raw_entries: int64
timestamp: timestamp[s]
quality_threshold: double
total_gold_pairs: int64
to
{'total_raw_entries': Value('int64'), 'total_gold_pairs': Value('int64'), 'source': Value('string'), 'quality_threshold': Value('float64'), 'pipeline': Value('string'), 'timestamp': Value('timestamp[s]')}
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.
Connor Gold v7
Certified 5.0/5.0 quality multilingual training pairs.
Only the top 0.5% of scored content passes the quality gate.
Dataset Summary
Gold v7 contains instruction-response pairs in 10 languages that have passed a strict quality certification (score ≥ 5.0/5.0). Each pair is formatted for direct use with chat-tuned language models using the ChatML format.
Languages
| Language | Code | Coverage |
|---|---|---|
| English | en | Full |
| French | fr | Full |
| Spanish | es | Full |
| German | de | Full |
| Italian | it | Full |
| Portuguese | pt | Full |
| Russian | ru | Full |
| Arabic | ar | Full |
| Japanese | ja | Full |
| Korean | ko | Full |
Data Format
Each entry is a JSON object with ChatML messages:
{
"messages": [
{"role": "system", "content": "You are Connor, ..."},
{"role": "user", "content": "Explain quantum computing..."},
{"role": "assistant", "content": "Quantum computing uses qubits..."}
],
"quality": 5.0,
"lang": "en",
"source": "web_gold_v1"
}
Quality Certification
Every pair in this dataset has been certified at ≥ 5.0/5.0 using a proprietary quality scoring system. Scores reflect:
- Technical density (citations, measurements, formulas)
- Structural richness (step-by-step reasoning, examples)
- Language diversity and authenticity
- Vocabulary breadth and originality
- Content coherence and depth
Access
This dataset is gated — commercial use requires a license.
For access:
- Research / non-commercial: Contact for evaluation
- Commercial license: Contact for pricing
License
connor-gold-v1 — Proprietary gold training data.
Redistribution, reverse engineering of the quality pipeline, or sublicensing is prohibited.
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