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Commercial
Human-Robot Conversation Dataset (Russian)
Human-robot dataset is an audio dataset containing 660+ hours of Russian dialogues between an AI and humans across 20,000 recordings, created for training conversational AI, speech recognition systems, and language models. This conversation dataset includes short audio sessions (up to 2 minutes) in M4A and OGG formats with structured metadata.
-
- Hours
- 660+
-
- Files
- 20,000
- Voice Assistant
- ASR
- Machine Learning
- Audio Processing
- Voice Recognition
- Voice Assistant
- ASR
- Machine Learning
- Audio Processing
- Voice Recognition
Human-robot dataset is an audio dataset containing 660+ hours of Russian dialogues between an AI and humans across 20,000 recordings, created for training conversational AI, speech recognition systems, and language models. This conversation dataset includes short audio sessions (up to 2 minutes) in M4A and OGG formats with structured metadata.
- Voice Assistant
- ASR
- Machine Learning
- Audio Processing
- Voice Recognition
-
- Hours
- 660+
-
- Files
- 20,000
Dataset Info
| Characteristic | Data |
| Description | Audio of Russian dialogues between AI and humans |
| Data types | Audio |
| Tasks | Speech Recognition, LLM |
| Hours of audio | 660+ |
| Number of sets | 20,000 |
| Language | Russian |
| Labeling | Metadata (id, language, format) |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | M4A, OGG |
| Duration | Max = 2 min |
Dataset Use Cases
FAQs
What types of annotations are provided in the dataset?
Each audio file includes metadata annotations, such as file ID, language, and format. These labels assist with data organization, model training, and performance evaluation in speech and language processing tasks.
What are the sources of data for this dataset?
Data for this dataset were collected via crowdsourcing platforms, where participants recorded spoken dialogues between humans and AI systems.
Is this dataset real-world or synthetic?
This dataset consists of real audio recordings of human-AI interactions. While the conversations simulate human-robot scenarios, the recorded audio is authentic and not synthetically generated.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model, offering free samples for testing and evaluation, while full datasets are available exclusively through purchase.
Do Unidata datasets comply with GDPR and other privacy regulations?
Yes, all datasets comply with GDPR and applicable data protection laws. Data is collected ethically from legally permissible sources for safe use in AI, machine learning, and research applications.
How are Unidata datasets stored?
Datasets are stored securely on AWS cloud infrastructure with high availability and scalability. Storage practices follow ISO 27001 and ISO 27701 standards, ensuring secure, privacy-compliant data management.
How long does it take to receive the dataset?
After submitting a request, Unidata reviews details and completes necessary documentation. Once payment and agreements are processed, the dataset is delivered within 3–10 days.
How can robotics and automation companies use Russian dialogue datasets?
Robotics developers and AI companies can use Russian human-AI conversations to create voice-enabled robots, virtual assistants, and interactive systems that can communicate effectively with Russian-speaking users.
Still have questions about using Unidata datasets?
Read our user-guides
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