README.md

---
pretty_name: StrikerData
tags:
  - audio
  - speech
  - strikersoft
license: other
dataset_info: dataset_info.yaml
configs:
  - config_name: default
    data_files: ["metadata.csv"]
    description: |
      Merged metadata file for the StrikerData dataset.
      Each row corresponds to an audio sample and contains metadata such as 
      file name, direct audio URL, transcription, and other relevant information.
    schema:
      features:
        - name: file_name
          dtype: string
          description: Unique file identifier (UUID-based).
        - name: audio
          dtype: audio
          description: Direct URL or relative path to the audio file (.flac format).
        - name: text
          dtype: string
          description: Transcribed text or spoken content from the audio file.
        - name: duration_sec
          dtype: float32
          description: Duration of the audio clip in seconds.
        - name: sample_rate
          dtype: int32
          description: Sampling rate of the audio clip in Hz.
        - name: label
          dtype: string
          description: Category of the audio (e.g., clean_human_speech, distorted_human_speech, human_made_noise, non_human_made_noise).
        - name: source_dataset
          dtype: string
          description: Original dataset or corpus the sample was sourced from.
        - name: language
          dtype: string
          description: Language code or name (e.g., en for English, nl for Dutch).
        - name: notes
          dtype: string
          description: Additional comments or context about the sample.
---

# 🎧 StrikerData

## Overview
**StrikerData** is an audio dataset developed by **Strikersoft** for research and development in audio and speech technologies.  
It contains human speech, environmental noise, and other sound types. The dataset is available for **non-commercial use only**, except for the company **Strikersoft**.

| Category           | Percentage of Total Dataset |
| ------------------ | --------------------------- |
| Clean human speech | 20%                         |
| Distorted speech   | 15%                         |
| Human-made noise   | 15%                         |
| Non-human noise    | 50%                         |

---

## ⚖️ License

This dataset is released under a **Custom License**.

### Geographic Restrictions
Access to this dataset is **strictly prohibited** for individuals or entities located in or associated with the following countries:
- **Russia**
- **Belarus**
- **Iran**
- **North Korea**

### Commercial Use Restrictions
The dataset is licensed for **non-commercial use only**, except for **Strikersoft**.  
No other individual or entity may use this dataset for commercial purposes without the **explicit written consent** of Strikersoft.

### License Termination
Strikersoft reserves the right to revoke access at any time if:
- The dataset is used commercially without permission.
- Access occurs from restricted regions listed above.

### Legal Jurisdiction
This license agreement is governed by the laws of the **European Union (EU)**.  
Any disputes will be resolved under the jurisdiction of Strikersoft’s legal entity.

---

## 🧠 How to Use

To use this dataset, you must:
1. Agree to the **Custom License** above.
2. Confirm you are **not located in** or **associated with** a restricted country.
3. Use the dataset for **non-commercial purposes only** (unless you are Strikersoft).

### Example (Python)
```python
from datasets import load_dataset

dataset = load_dataset("bonchardon/strikerData", split="train", streaming=True)
sample = next(iter(dataset))
print(sample)