itsmebatuhan/bluesky-10m-posts-15-languages

Dataset Card: Bluesky 10M Multilingual

📊 Overview

• Total Posts: 10,099,990
• Languages: 15 (en, tr, es, pt, de, fr, ja, it, nl, pl, ru, ko, zh, ar, hi)
• Collection Period: August 9-12, 2026
• Source: Bluesky Jetstream API (public firehose)
• Format: JSONL
• Size: ~3 GB

🌍 Language Distribution

Language	Code	Posts	%
English	en	6,843,995	67.8%
Japanese	ja	1,547,179	15.3%
German	de	373,626	3.7%
Portuguese	pt	331,093	3.3%
Spanish	es	325,865	3.2%
French	fr	206,852	2.0%
Korean	ko	171,704	1.7%
Dutch	nl	90,198	0.9%
Turkish	tr	59,949	0.6%
Italian	it	45,348	0.4%
Russian	ru	27,892	0.3%
Chinese	zh	26,695	0.3%
Polish	pl	24,793	0.2%
Arabic	ar	24,451	0.2%
Hindi	hi	360	0.0%

Distribution reflects natural Bluesky demographics.

📁 Data Fields

Field	Type	Description
did	string	Decentralized user identifier
rkey	string	Record key (unique post ID)
text	string	Post content
lang	string	Primary language code
created_at	string	Post timestamp (ISO 8601)
collected_at	string	Collection timestamp
is_reply	bool	Whether post is a reply (optional)

💻 Usage

from datasets import load_dataset

# Load dataset
ds = load_dataset("itsmebatuhan/bluesky-10m-posts-15-languages", split="train")

# Access data
print(ds[0])
print(ds["lang"].value_counts())

Streaming (for large datasets)
ds = load_dataset("itsmebatuhan/bluesky-10m-posts-15-languages", streaming=True)
for sample in ds["train"]:
    print(sample["text"])
    break

📌 Citation
@dataset{bluesky_10m_multilingual_2026,
  title = {Bluesky 10M Multilingual Posts (15 Languages)},
  author = {itsmebatuhan},
  year = {2026},
  url = {https://huggingface.co/datasets/itsmebatuhan/bluesky-10m-posts-15-languages}
}