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Datasets:
Mayank6255
/
fineweb_2_samples_hq

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
json
Languages:
English
Size:
10M - 100M
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
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id
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date
timestamp[s]date
2013-05-18 13:42:14
2024-04-25 15:32:54
dump
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96 values
embeddings
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1
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file_path
stringlengths
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155
language
stringclasses
1 value
language_score
float64
0.71
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1 value
minhash_cluster_size
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1
106k
top_langs
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بنى المنزل من الطوب البحري. أما الأبواب والنوافذ صنعت من خشب الساج والتي تعتبر مادة باهظة الثمن استخدمت في بناء منازل الأثرياء. وبنيت الأسقف من حزم الصندل التي استوردت من الهند وشرق إفريقيا التي يبلغ طولها ثلاثة أمتار وقطرها 10 سنتيمترا، وغطيت بالحصير المنسوج وطبقة من الطين مختلطة بالقش تبلغ سماكتها 20 سنتيمترا. ولتوفي...
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مفاعل الماء الثقيل المضغوط مفاعل الماء الثقيل المضغوط (بالإنجليزية: pressurised heavy water reactor) هو نوع من مفاعل نووي لإنتاج الطاقة الكهربائية، يستعمل عادة اليورانيوم الطبيعي (غير مخصب) كوقود نووي ويستخدم الماء الثقيل D2O (أكسيد الديوتيريوم)كمهدئ ومبرد في المفاعل. وطبقا لتصميم هذا المفاعل يبقى الماء الثقيل تحت ضغط ...
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http://ar.wikipedia.org/wiki/%D9%85%D9%81%D8%A7%D8%B9%D9%84_%D8%A7%D9%84%D9%85%D8%A7%D8%A1_%D8%A7%D9%84%D8%AB%D9%82%D9%8A%D9%84_%D8%A7%D9%84%D9%85%D8%B6%D8%BA%D9%88%D8%B7
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← اللغة القبطية: peniwt abba Danihl pi\hgoumenoc. تحمل سيرة هذا القديس شهادة حيّة عن حيوية الرهبنة القبطية ومجدها في القرن السادس. كان هذا القديس أبًا طاهرًا كاملًا، خدم بلاده أعظم خدمة بأن قدم للكنيسة أساقفة أعلام من خلال برامج الدراسة التي كانت تُقَدم في الأديرة بهدف إعداد الرهبان لحسن تأدية رسالتهم، والذي كان هذا ال...
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fineweb_2_samples_hq

FINEWEB2-HQ dataset

Dataset Structure

This dataset contains 5 JSONL files with a total size of 26415.31 MB.

Files:

  • ukr_Cyrl_sample_001.jsonl: 6163.40 MB
  • ron_Latn_sample_001.jsonl: 3739.69 MB
  • kor_Hang_sample_001.jsonl: 4120.89 MB
  • hin_Deva_sample_001.jsonl: 6681.96 MB
  • heb_Hebr_sample_001.jsonl: 5709.37 MB

Usage 

from datasets import load_dataset

dataset = load_dataset("path/to/this/dataset")

Loading specific files 

from datasets import load_dataset

# Load specific JSONL files
dataset = load_dataset("json", data_files=["file1.jsonl", "file2.jsonl"])
Downloads last month
183
Number of rows:
213,965
Estimated number of rows:
12,462,993
Total file size:
838 GB