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---
license: other
task_categories:
- text-classification
language:
- en
- ja
tags:
- code
size_categories:
- 1K<n<10K
---
# Dataset overview
This dataset identifies whether a GitHub repository description pertains to Japanese natural language processing (NLP).
The labels are categorized as **"Relevant (1)" and "Not Relevant (0)"**.
Problem Setting:
- Training Data: Repository descriptions from before 2022
- Test Data: Repository descriptions from 2023
- Objective: To detect repositories related to Japanese NLP
Data Collection:
- Positive Examples: Repositories listed in "[awesome-japanese-nlp-resources](https://github.com/taishi-i/awesome-japanese-nlp-resources)" as of September 9, 2023
- Negative Examples: Collected from the GitHub API and visually confirmed
- Note: The annotation process is subjective
Dataset Features:
- Subjective labeling
- Mixed English and Japanese descriptions
- Imbalanced label distribution
**These dataset features mirror real-world challenges and are ideal for evaluating models.**
Based on GitHub's terms of service, please use this dataset for research purposes only.
# How to use this dataset
How to load in Python.
```python
from datasets import load_dataset
dataset = load_dataset("taishi-i/awesome-japanese-nlp-classification-dataset")
```
Details of the dataset.
```python
DatasetDict({
train: Dataset({
features: ['label', 'text', 'url', 'created_at'],
num_rows: 5496
})
validation: Dataset({
features: ['label', 'text', 'url', 'created_at'],
num_rows: 400
})
test: Dataset({
features: ['label', 'text', 'url', 'created_at'],
num_rows: 856
})
})
```
# Baseline
Baseline trained with [bert-base-multilingual-cased](https://huggingface.co./bert-base-multilingual-cased).
Please use the baseline model from [here](https://huggingface.co./taishi-i/awesome-japanese-nlp-classification-model).
The F1-score for label 1 is important for this task.
| Label | Precision | Recall | F1-Score | Support |
|--------------|-----------|--------|----------|---------|
| 0 | 0.98 | 0.99 | 0.98 | 796 |
| 1 | 0.79 | 0.70 | **0.74** | 60 |
| Accuracy | | | 0.97 | 856 |
| Macro Avg | 0.89 | 0.84 | 0.86 | 856 |
| Weighted Avg | 0.96 | 0.97 | 0.97 | 856 |
# Dataset stats
Label distribution:
| Dataset | Label 0 (%) | Label 1 (%) |
|------------|-------------|-------------|
| Train | 92.59 | 7.41 |
| Validation | 95.75 | 4.25 |
| Test | 92.99 | 7.01 |
Relevant sample:
```python
{
"label": 1,
"text": "JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets",
"url": "https://github.com/shunk031/huggingface-datasets_JGLUE",
"created_at": "2023-02-25T04:33:03Z"
}
```
Not Relevant sample:
```python
{
"label": 0,
"text": "Official repository of FaceLit: Neural 3D Relightable Faces (CVPR 2023)",
"url": "https://github.com/apple/ml-facelit",
"created_at": "2023-04-03T22:47:29Z"
}
```
Number of texts, average number of characters per text, minimum number of characters, maximum number of characters:
| Dataset | Text Count | Average Length | Min Length | Max Length |
|------------|------------|----------------|------------|------------|
| Train | 5496 | 58.05 | 2.0 | 609.0 |
| Validation | 400 | 54.33 | 8.0 | 226.0 |
| Test | 856 | 58.85 | 3.0 | 341.0 |
Proportion of text languages:
| Dataset | English (%) | Japanese (%) |
|------------|-------------|--------------|
| Train | 89.34 | 10.66 |
| Validation | 82.00 | 18.00 |
| Test | 83.18 | 16.82 |
Time range:
| Dataset | Start Date | End Date |
|---------|---------------------------|---------------------------|
| Train | 2008-02-11 22:55:26+00:00 | 2022-09-30 19:45:09+00:00 |
| Validation | 2022-10-01 06:02:56+00:00 | 2022-12-31 12:12:41+00:00 |
| Test | 2023-01-01 06:15:03+00:00 | 2023-08-21 15:30:53+00:00 |
# License
We collect and publish this dataset under [GitHub Acceptable Use Policies - 7. Information Usage Restrictions](https://docs.github.com/en/site-policy/acceptable-use-policies/github-acceptable-use-policies#7-information-usage-restrictions) and [GitHub Terms of Service - H. API Terms](https://docs.github.com/en/site-policy/github-terms/github-terms-of-service#h-api-terms) for research purposes. This dataset should be used solely for research verification purposes. Adhering to GitHub's regulations is mandatory.
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