“We were very happy with the quality of the data that we purchased. It will assist our efforts to improve our product. The team at Unidata was very responsive to our needs, and provided the data format needed to complete our tasks. We are happy to state that Unidata delivers a high quality product in an effective and efficient manner.”
Commercial
Human-Robot Conversation Dataset (Korean)
Human-robot dataset is an audio dataset containing 660+ hours of Korean dialogues between an AI and humans across 20,000 recordings. This conversation dataset includes short M4A and WAV audio files (up to 2 minutes) with structured metadata, supporting research in human-robot interactions, Korean natural language processing, and AI-driven dialogue systems.
-
- 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 Korean dialogues between an AI and humans across 20,000 recordings. This conversation dataset includes short M4A and WAV audio files (up to 2 minutes) with structured metadata, supporting research in human-robot interactions, Korean natural language processing, and AI-driven dialogue systems.
- Voice Assistant
- ASR
- Machine Learning
- Audio Processing
- Voice Recognition
-
- Hours
- 660+
-
- Files
- 20,000
Dataset Info
| Characteristic | Data |
| Description | Description Audio of Korean dialogues between AI and humans |
| Data types | Audio |
| Tasks | Speech Recognition, LLM |
| Hours of audio | 660+ |
| Number of sets | 20,000 |
| Language | Korean |
| Labeling | Metadata (id, language, format) |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | M4A, WAV |
| Duration | Max = 2 min |
Dataset Use Cases
FAQs
What types of annotations are provided in the dataset?
The dataset includes metadata annotations such as file ID, language, and audio format. These labels help organize the dataset and support data analysis, model training, and performance evaluation in speech and natural language processing tasks.
How was the data collected?
Data was collected through crowdsourcing platforms, where participants recorded dialogues with AI systems in Korean.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model, where free samples are available for testing and evaluation while the full dataset is accessible through purchase. This structure allows organizations to validate dataset quality before integrating it into production systems.
Do Unidata datasets comply with GDPR and other data privacy regulations?
Yes. All datasets are curated in accordance with GDPR and relevant data protection laws, ensuring ethical and lawful data collection. Data sources are verified to maintain responsible use in machine learning, artificial intelligence, and analytics applications.
How are Unidata datasets stored?
Unidata datasets are securely stored on AWS cloud infrastructure, providing high availability and scalability. Storage practices comply with ISO 27001 and ISO 27701 standards, ensuring internationally recognized data security and privacy management.
How long does it take to receive the dataset?
After submitting a request, the team reviews the dataset requirements and completes the necessary documentation. Once the agreement is signed and payment is processed, the dataset is typically delivered within 3–10 days.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, you can request a sample of the dataset for testing and evaluation. Reviewing sample audio files allows teams to verify recording quality, dialogue diversity, and metadata structure before using the dataset.
How does human-robot dialogue data improve speech recognition systems?
Human-robot dialogue data exposes AI models to realistic conversational scenarios, helping them recognize spoken language, understand user intent, and improve the accuracy of voice-based interactions.
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