Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1K - 10K
License:
File size: 2,024 Bytes
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---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- eng
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- sentence-simularity
task_ids:
- sentence-transformers
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary in English
[This customized dataset is made of a corpus of commun Github issues, typically utilized for tracking bugs or features within a repositories. This self-constructed corpus can serve multiple purposes, such as analyzing the time taken to resolve open issues or pull requests, training a classifier to tag issues based on their descriptions (e.g., "bug," "enhancement," "question"), or developing a semantic search engine for finding relevant issues based on user queries.]
### Dataset Summary in French
[Ce dataset personnalisé est composé d'un corpus de problèmes couramment rencontrés sur Github, généralement utilisés pour suivre les bugs ou les fonctionnalités au sein des repositories. Ce corpus peut servir à plusieurs fins, telles que l'analyse du temps nécessaire pour résoudre des open issues ou des pull requests, training un classificateur pour étiqueter les problèmes en fonction de leurs descriptions (par exemple, "bug", "enhancement", "question"), ou le développement d'une semantic seache engine pour trouver des problèmes pertinents en fonction des user queries.]
### Languages
[English]
## Dataset Structure
### Data Splits
[More Information Needed]
[More Information Needed]
### Personal and Sensitive Information
[Not applicable.]
## Considerations for Using the Data
### Social Impact of Dataset
[Not applicable.]
### Discussion of Biases
[Possible. Comments within dataset were not monitored and are uncensored.]
### Licensing Information
[Apache 2.0]
### Citation Information
[https://github.com/huggingface/datasets/issues]
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