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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
labels: list<item: struct<label: string, hit: int64, fp: int64, fn: int64, precision: double, recall: double (... 2 chars omitted)
child 0, item: struct<label: string, hit: int64, fp: int64, fn: int64, precision: double, recall: double>
child 0, label: string
child 1, hit: int64
child 2, fp: int64
child 3, fn: int64
child 4, precision: double
child 5, recall: double
P: double
dominant_failure: string
F1: double
single_pct: double
examples: list<item: struct<word: string, gold: string, pred: string>>
child 0, item: struct<word: string, gold: string, pred: string>
child 0, word: string
child 1, gold: string
child 2, pred: string
source: string
R: double
cases: int64
recommended_fix: list<item: string>
child 0, item: string
to
{'source': Value('string'), 'cases': Value('int64'), 'P': Value('float64'), 'R': Value('float64'), 'F1': Value('float64'), 'single_pct': Value('float64'), 'dominant_failure': Value('string'), 'examples': List({'word': Value('string'), 'gold': Value('string'), 'pred': Value('string')}), 'recommended_fix': List(Value('string'))}
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 478, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
labels: list<item: struct<label: string, hit: int64, fp: int64, fn: int64, precision: double, recall: double (... 2 chars omitted)
child 0, item: struct<label: string, hit: int64, fp: int64, fn: int64, precision: double, recall: double>
child 0, label: string
child 1, hit: int64
child 2, fp: int64
child 3, fn: int64
child 4, precision: double
child 5, recall: double
P: double
dominant_failure: string
F1: double
single_pct: double
examples: list<item: struct<word: string, gold: string, pred: string>>
child 0, item: struct<word: string, gold: string, pred: string>
child 0, word: string
child 1, gold: string
child 2, pred: string
source: string
R: double
cases: int64
recommended_fix: list<item: string>
child 0, item: string
to
{'source': Value('string'), 'cases': Value('int64'), 'P': Value('float64'), 'R': Value('float64'), 'F1': Value('float64'), 'single_pct': Value('float64'), 'dominant_failure': Value('string'), 'examples': List({'word': Value('string'), 'gold': Value('string'), 'pred': Value('string')}), 'recommended_fix': List(Value('string'))}
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.
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Final1000 Veri Seti
Bu klasör, NedoTurkishTokenizer için kullanılan Final1000 değerlendirme setini içerir.
Dosyalar
| Dosya | Açıklama |
|---|---|
nedo_final1000_gold.jsonl |
Ana gold set. Her satır bir JSON örneğidir. |
nedo_final1000_gold.csv |
Aynı verinin CSV sürümü. |
zenodo_metadata.json |
Zenodo release için taslak metadata. |
İçerik
Final1000, Türkçe morfolojik tokenizasyon için hazırlanmış 1.000 örnekli değerlendirme setidir.
Kaynak dağılımı:
| Kaynak | Adet |
|---|---|
annotator_agreed |
754 |
adjudicated_new |
196 |
adjudicated_old |
50 |
| Toplam | 1000 |
Build kontrolünde hatalı örnek sayısı 0 olarak raporlanmıştır.
Kullanım
JSONL dosyasını satır satır okuyarak kullanabilirsiniz:
import json
from pathlib import Path
path = Path("dataset/nedo_final1000_gold.jsonl")
examples = [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines()]
print(len(examples))
Sonuç dosyaları
Bu veri setiyle üretilen dondurulmuş metrikler için:
Hata analizleri için:
Not
Dış bağlantılar
| Kaynak | Bağlantı |
|---|---|
| GitHub repository | NMSOfficial/NedoTurkishTokenizer |
| Hugging Face dataset | Ethosoft/NedoTurkishTokenizer-Final1000 |
| Zenodo DOI | 10.5281/zenodo.21274980 |
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