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9a01b20 1bce555 9a01b20 1bce555 9a01b20 1bce555 9a01b20 1bce555 1fe4956 9a01b20 1fe4956 9a01b20 1fe4956 9a01b20 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | # Real Human Conversations Worldwide — Multilingual Dataset
A massive, unified dataset of **real human conversations** from across the world, collected from publicly available sources. This is NOT synthetic customer-service data — it contains genuine human dialogue from Reddit, Discord, Twitch, Usenet, Telegram, therapy sessions, and more.
## 📊 Stats
- **Total rows**: 1,609,769
- **Total size**: ~470 MB (zstd-compressed Parquet)
- **Format**: Parquet
- **Languages**: English, Russian, Italian, Japanese, Korean
## 🌍 Languages
| Language | Rows | Size | Sources |
|----------|------|------|---------|
| English | 1,084,282 | 98.3 MB | Discord, Reddit, Twitch, therapy, YouTube mix |
| Russian | 200,000 | 34.1 MB | Telegram chats |
| Italian | 198,508 | 318.3 MB | Usenet newsgroups |
| Japanese | 100,000 | 10.4 MB | Text conversations |
| Korean | 26,979 | 9.1 MB | Everyday chat |
## 📁 Dataset Format
All data unified into a consistent schema:
| Column | Type | Description |
|--------|------|-------------|
| `text` | string | Conversation / dialogue / transcript text |
| `source` | string | Origin dataset name |
| `language` | string | ISO language code |
| `domain` | string | Conversation type |
| `turns` | int | Number of dialogue turns |
| `metadata` | string | JSON with extra info |
## 🚀 Usage
```python
from datasets import load_dataset
# Load everything
ds = load_dataset("asdf98/human-chats-worldwide", split="train")
# By language
en = ds.filter(lambda x: x["language"] == "en")
ru = ds.filter(lambda x: x["language"] == "ru")
it = ds.filter(lambda x: x["language"] == "it")
ja = ds.filter(lambda x: x["language"] == "ja")
ko = ds.filter(lambda x: x["language"] == "ko")
```
## 🔗 Sources
All data from publicly available Hugging Face datasets:
| File | Source | Type | Language |
|------|--------|------|----------|
| `discord_dialogues.parquet` | mookiezi/Discord-Dialogues | Real Discord chats | en |
| `reddit_comments.parquet` | HuggingFaceGECLM/REDDIT_comments | Reddit threads | en |
| `reddit_confessions.parquet` | SocialGrep/one-million-reddit-confessions | Real confessions | en |
| `reddit_questions.parquet` | SocialGrep/one-million-reddit-questions | AskReddit | en |
| `reddit_youtube_mix.parquet` | fsteig/conversations-30gb | Reddit+YouTube mix | en |
| `russian_dialogues.parquet` | Den4ikAI/russian_dialogues_2 | Telegram chats | ru |
| `italian_usenet.parquet` | mii-community/UsenetArchiveIT-conversations | Usenet forums | it |
| `twitch_chat.parquet` | lparkourer10/twitch_chat | Live stream chat | en |
| `mental_health.parquet` | Amod/mental_health_counseling_conversations | Therapy sessions | en |
| `japanese_text.parquet` | izumi-lab/llm-japanese-dataset | Japanese conversations | ja |
| `korean_conversations.parquet` | jojo0217/korean_safe_conversation | Everyday Korean chat | ko |
## ⚠️ Notes
- All data is **publicly posted** by real humans on public platforms
- No private messages or non-consensual data
- Filtered to remove `[deleted]`, `[removed]`, and very short posts
- Some content may be informal, colloquial, or contain strong language
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