metadata
dataset_info:
- config_name: de
features:
- name: text
dtype: string
- name: url
dtype: string
- name: domain
dtype: string
- name: tlsh
dtype: string
- name: text_len
dtype: uint32
- name: lang_identification_prob
dtype: float32
- name: harmful_pp
dtype: float32
- name: warc_record_id
dtype: string
- name: warc_date
dtype: string
splits:
- name: '2021_17'
num_bytes: 16614818320
num_examples: 7316629
- name: '2021_21'
num_bytes: 329787348
num_examples: 164456
- name: '2021_25'
num_bytes: 13490283920
num_examples: 5359845
- name: '2021_39'
num_bytes: 12298808823
num_examples: 4856931
- name: '2021_43'
num_bytes: 19052080067
num_examples: 6802704
- name: '2022_05'
num_bytes: 12019070936
num_examples: 4033390
- name: '2022_33'
num_bytes: 8787302552
num_examples: 3263896
- name: '2024_18'
num_bytes: 9749883212
num_examples: 4881888
- name: '2024_22'
num_bytes: 8410414005
num_examples: 4280514
download_size: 100752449183
dataset_size: 403009796732
configs:
- config_name: de
data_files:
- split: '2021_17'
path: data/2021-17/de/*.parquet
- split: '2021_21'
path: data/2021-21/de/*.parquet
- split: '2021_25'
path: data/2021-25/de/*.parquet
- split: '2021_39'
path: data/2021-39/de/*.parquet
- split: '2021_43'
path: data/2021-43/de/*.parquet
- split: '2022_05'
path: data/2022-05/de/*.parquet
- split: '2022_33'
path: data/2022-33/de/*.parquet
- split: '2024_18'
path: data/2024-18/de/*.parquet
- split: '2024_22'
path: data/2024-22/de/*.parquet
Some data name
Just testing... this dataset is temporary and will be removed soon.
Usage
from datasets import load_dataset
# init dataset in streaming mode
ds = load_dataset("malteos/clean-oscar-de", name="de", split="2021_17", streaming=True)
# print the first item of the dataset
print(next(iter(ds)))
License
Internal testing only
Statistics
num_bytes | num_examples | |
---|---|---|
de | 100752449183 | 40960253 |
de
num_bytes | num_examples | |
---|---|---|
2021_17 | 16614818320 | 7316629 |
2021_21 | 329787348 | 164456 |
2021_25 | 13490283920 | 5359845 |
2021_39 | 12298808823 | 4856931 |
2021_43 | 19052080067 | 6802704 |
2022_05 | 12019070936 | 4033390 |
2022_33 | 8787302552 | 3263896 |
2024_18 | 9749883212 | 4881888 |
2024_22 | 8410414005 | 4280514 |