Datasets:

oscar-corpus

/

colossal-oscar-1.0

like 30

Follow

OSCAR 56

How do I differentiate languages in this dataset?

```python
from datasets import load_dataset
import yaml

import os, getpass

def _set_env(var: str):
    if not os.environ.get(var):
        os.environ[var] = getpass.getpass(f"{var}: ")

with open('README.md', 'r') as readme:
    lines = readme.readlines()
    
    # Find start and end of the language array in YAML format
    start_index = None
    for i, line in enumerate(lines):
        if line.strip() == "language:":
            start_index = i
            break
    
    end_index = len(lines)
    for j, line in enumerate(lines[start_index+1:], start=start_index+1):
        if not line.startswith('- '):
            end_index = j
            break

    language_section = ''.join(lines[start_index:end_index])
    
    # Load it with PyYAML
    readme_yaml = yaml.safe_load(language_section)
    langs = readme_yaml['language']

print(langs)

['bg', 'ca', 'code', 'cs', 'cy', 'da', 'de', 'el', 'en', 'es', 'et', 'eu', 'fi', 'fr', 'ga', 'gl', 'hr', 'hu', 'it', 'lt', 'lv', 'mt', 'nl', 'nn', '\\no', 'oc', 'pl', 'pt', 'ro', 'ru', 'sh', 'sk', 'sl', 'sr', 'sv', 'uk']

NUM_SAMPLES = 100
DATASET_NAME = "oscar-corpus/colossal-oscar-1.0"
_set_env("HF_TOKEN")

samples = dict()
for lang in langs:
    try:
        ds = load_dataset(DATASET_NAME, lang, split="train", streaming=True)
        ds = ds.take(NUM_SAMPLES)
        samples[lang] = list(ds)
    except ValueError as e:
        print(e)
print(samples["es"])

BuilderConfig 'bg' not found. Available: ['default']
BuilderConfig 'ca' not found. Available: ['default']

...

I see

ds = load_dataset(DATASET_NAME, "default", split="train", streaming=True)
ds = ds.take(NUM_SAMPLES)
for ex in ds:
    print(ex["metadata"]["identification"]["label"])

these are all Afrikaans and this makes sense at the start of the list. There's no way to sample languages without downloading the whole set? (its like 1.1 TB right?)