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README.md
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#
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| Column | Type | Description |
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- fsteig/conversations-30gb
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- SocialGrep/one-million-reddit-confessions
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- Den4ikAI/russian_dialogues_2
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- mii-community/UsenetArchiveIT-conversations
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- japanese-asr/whisper_transcriptions.reazon_speech_all
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- jojo0217/korean_safe_conversation
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- lparkourer10/twitch_chat
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- Amod/mental_health_counseling_conversations
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("asdf98/human-chats-worldwide", split="train")
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```
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# Real Human Conversations Worldwide — Multilingual Dataset
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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.
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## 📊 Stats
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- **Total rows**: 1,609,769
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- **Total size**: ~470 MB (zstd-compressed Parquet)
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- **Format**: Parquet
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- **Languages**: English, Russian, Italian, Japanese, Korean
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## 🌍 Languages
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| Language | Rows | Size | Sources |
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|----------|------|------|---------|
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| English | 1,084,282 | 98.3 MB | Discord, Reddit, Twitch, therapy, YouTube mix |
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| Russian | 200,000 | 34.1 MB | Telegram chats |
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| Italian | 198,508 | 318.3 MB | Usenet newsgroups |
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| Japanese | 100,000 | 10.4 MB | Text conversations |
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| Korean | 26,979 | 9.1 MB | Everyday chat |
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## 📁 Dataset Format
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All data unified into a consistent schema:
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| Column | Type | Description |
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|--------|------|-------------|
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| `text` | string | Conversation / dialogue / transcript text |
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| `source` | string | Origin dataset name |
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| `language` | string | ISO language code |
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| `domain` | string | Conversation type |
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| `turns` | int | Number of dialogue turns |
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| `metadata` | string | JSON with extra info |
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## 🚀 Usage
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```python
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from datasets import load_dataset
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# Load everything
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ds = load_dataset("asdf98/human-chats-worldwide", split="train")
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# By language
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en = ds.filter(lambda x: x["language"] == "en")
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ru = ds.filter(lambda x: x["language"] == "ru")
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it = ds.filter(lambda x: x["language"] == "it")
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ja = ds.filter(lambda x: x["language"] == "ja")
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ko = ds.filter(lambda x: x["language"] == "ko")
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```
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## 🔗 Sources
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All data from publicly available Hugging Face datasets:
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| File | Source | Type | Language |
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|------|--------|------|----------|
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| `discord_dialogues.parquet` | mookiezi/Discord-Dialogues | Real Discord chats | en |
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| `reddit_comments.parquet` | HuggingFaceGECLM/REDDIT_comments | Reddit threads | en |
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| `reddit_confessions.parquet` | SocialGrep/one-million-reddit-confessions | Real confessions | en |
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| `reddit_questions.parquet` | SocialGrep/one-million-reddit-questions | AskReddit | en |
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| `reddit_youtube_mix.parquet` | fsteig/conversations-30gb | Reddit+YouTube mix | en |
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| `russian_dialogues.parquet` | Den4ikAI/russian_dialogues_2 | Telegram chats | ru |
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| `italian_usenet.parquet` | mii-community/UsenetArchiveIT-conversations | Usenet forums | it |
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| `twitch_chat.parquet` | lparkourer10/twitch_chat | Live stream chat | en |
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| `mental_health.parquet` | Amod/mental_health_counseling_conversations | Therapy sessions | en |
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| `japanese_text.parquet` | izumi-lab/llm-japanese-dataset | Japanese conversations | ja |
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| `korean_conversations.parquet` | jojo0217/korean_safe_conversation | Everyday Korean chat | ko |
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## ⚠️ Notes
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- All data is **publicly posted** by real humans on public platforms
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- No private messages or non-consensual data
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- Filtered to remove `[deleted]`, `[removed]`, and very short posts
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- Some content may be informal, colloquial, or contain strong language
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