tensorflow / tensorflow/datasets
[data request] HKUST
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- Dominant language
- Python
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Description
- Name of dataset: HKUST
- URL of dataset:
LDC2005S15 : http://www.ldc.upenn.edu/Catalog/catalogEntry.jsp?catalogId=LDC2005S15
LDC2005T32 : http://www.ldc.upenn.edu/Catalog/catalogEntry.jsp?catalogId=LDC2005T32
- License of dataset:
LDC User Agreement for Non-Members
- Short description of dataset and use case(s):
HKUST Mandarin Telephone Speech, Part 1 was developed by Hong Kong University of Science and Technology (HKUST). In 2004, HKUST was contracted to collect and transcribe 200 hours of Mandarin Chinese conversational telephone speech from Mandarin speakers in mainland China under the DARPA EARS framework. The first 50 hours of speech and transcripts were released in June 2004 to the EARS community for the RT-04 NIST evaluation. NIST partitioned the remaining 150 hours of collection into training, development and evaluation sets. This release contains the training and development sets with 873 and 24 calls, respectively
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the HKUST dataset request and verify the LDC2005S15 and LDC2005T32 sources and the LDC User Agreement for Non-Members license. The issue names no repository files, tests, or implementation entry point, so first identify the project’s dataset-addition conventions; completion would require a defined, licensed HKUST dataset integration and validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100