---
language:
  - hi
tags:
  - speech-llm
  - hindi
  - conversational
  - audio
  - multi-turn
license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: conversations.jsonl
---

# Hindi Conversational Speech Dataset

Multi-turn Hindi conversational dataset for training speech language models. Each conversation has user audio turns paired with assistant text responses.

## Dataset Statistics

| Metric | Value |
|--------|-------|
| Total conversations | 10 |
| Total user turns (audio files) | 25 |
| Total assistant turns | 25 |
| Min turns per conversation | 1 |
| Max turns per conversation | 4 |
| Avg user text length | 32.4 chars |
| Avg assistant text length | 94.0 chars |

### Turn Distribution

| Turns | Count | Percentage |
|-------|-------|------------|
| 1 | 2 | 20.0% |
| 2 | 3 | 30.0% |
| 3 | 3 | 30.0% |
| 4 | 2 | 20.0% |

## Dataset Structure

```
dataset/
├── conversations.jsonl
└── audio/
    ├── conv_001_turn_001.mp3
    ├── conv_002_turn_001.mp3
    └── ...
```

### conversations.jsonl Format

Each line is a JSON object representing one conversation:

```json
{
  "conversation_id": "conv_001",
  "turn_count": 2,
  "turns": [
    {"role": "user", "audio": "audio/conv_001_turn_001.mp3", "text": "..."},
    {"role": "assistant", "text": "..."},
    {"role": "user", "audio": "audio/conv_001_turn_002.mp3", "text": "..."},
    {"role": "assistant", "text": "..."}
  ]
}
```

- **User turns** have `audio` (path to mp3) and `text` (transcript)
- **Assistant turns** have only `text` (the response)
- Turns always alternate: user → assistant → user → assistant
- `turn_count` = number of user turns in the conversation

### Audio Naming Convention

`{conversation_id}_turn_{NNN}.mp3` — e.g., `conv_001_turn_001.mp3`

## Sample Conversation

**User** 🎤: आज दिल्ली में मौसम कैसा रहेगा?

**Assistant**: आज दिल्ली में काफ़ी गर्मी रहेगी, दोपहर में तापमान चालीस के पार जा सकता है, शाम को थोड़ी राहत मिलेगी।

## Intended Use

Training speech language models that take audio input and generate text responses (replacing the ASR → LLM pipeline with a single model).

## Language

All user inputs and assistant responses are in **Hindi** (हिंदी).

---

*Last updated: 2026-06-17 18:51 UTC*