Datasets:

hadxs
/

gold-v7-sample

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
total_unique_pairs: int64
sample_size: int64
avg_quality_full: double
min_quality_full: double
max_quality_full: double
all_5_or_above: bool
quality: double
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'quality': Value('float64')}
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
              total_unique_pairs: int64
              sample_size: int64
              avg_quality_full: double
              min_quality_full: double
              max_quality_full: double
              all_5_or_above: bool
              quality: double
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'quality': Value('float64')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Gold v7 Sample - 100 French Gold Pairs (Quality 5.0)

A propos

Ce dataset contient 100 paires gold francaises extraites de gold-v7 - un ensemble de 3 434 paires de haute qualite filtrees par le systeme quality_v6 (score >= 5.0).

Chaque paire suit le format chat template : system -> user -> assistant. Les sujets couvrent : logique, code, syntaxe francaise, richesse du vocabulaire, raisonnement.

Statistiques

Metrique	Valeur
Paires uniques (total)	3434
Paires dans l echantillon	100
Qualite minimale	5.0
Qualite maximale	5.0
Qualite moyenne (total)	5.00
Qualite moyenne (echantillon)	5.00
Taux de deduplication	0% de bruit elimine
Caracteres totaux (dataset complet)	1,427,599
Caracteres (echantillon)	44,962
Paires avec code	0/100
Paires avec logique/raisonnement	14/100

Filtrage

Le dataset complet gold-v7 est issu d un pipeline de scraping RSS + scraping d articles. Les donnees brutes passent par un filtre de qualite (quality_v6) qui evalue :

Densite d information (pas de bourrage)
Variete lexicale
Structure logique
Absence de repetition et d hallucination

Seules les paires score >= 5.0 sont retenues. 80%+ de la donnee brute est rejetee pour ne garder que l elite.

Utilisation

from datasets import load_dataset

ds = load_dataset("hadxs/gold-v7-sample", split="train")
for item in ds:
    system = item["messages"][0]["content"]
    user = item["messages"][1]["content"]
    assistant = item["messages"][2]["content"]

Licence

MIT - libre utilisation, modification, redistribution.

Dataset genere par Connor IA

Downloads last month: 18

Total file size:

73.3 kB