Librarian Bot: Add language metadata for dataset
Browse filesThis pull request aims to enrich the metadata of your dataset by adding language metadata to `YAML` block of your dataset card `README.md`.
How did we find this information?
- The librarian-bot downloaded a sample of rows from your dataset using the [dataset-server](https://huggingface.co/docs/datasets-server/) library
- The librarian-bot used a language detection model to predict the likely language of your dataset. This was done on columns likely to contain text data.
- Predictions for rows are aggregated by language and a filter is applied to remove languages which are very infrequently predicted
- A confidence threshold is applied to remove languages which are not confidently predicted
The following languages were detected with the following mean probabilities:
- Korean (ko): 100.00%
If this PR is merged, the language metadata will be added to your dataset card. This will allow users to filter datasets by language on the [Hub](https://huggingface.co/datasets).
If the language metadata is incorrect, please feel free to close this PR.
To merge this PR, you can use the merge button below the PR:
![Screenshot 2024-02-06 at 15.27.46.png](https://cdn-uploads.huggingface.co/production/uploads/63d3e0e8ff1384ce6c5dd17d/1PRE3CoDpg_wfThC6U1w0.png)
This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bots). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to
@davanstrien
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---
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dataset_info:
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features:
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- name: ner_tags
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sequence:
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class_label:
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names:
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- name: tokens
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sequence: string
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splits:
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---
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language:
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- ko
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dataset_info:
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features:
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- name: ner_tags
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sequence:
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class_label:
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names:
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'0': B-PS,
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'1': I-PS,
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'2': B-FD,
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'3': I-FD,
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'4': B-TR,
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'5': I-TR,
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'6': B-AF,
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'7': I-AF,
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'8': B-OG,
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'9': I-OG,
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'10': B-LC,
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'11': I-LC,
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'12': B-CV,
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'13': I-CV,
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'14': B-DT,
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'15': I-DT,
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'16': B-TI,
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'17': I-TI,
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'18': B-QT,
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'19': I-QT,
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'20': B-EV,
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'21': I-EV,
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'22': B-AM,
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'23': I-AM,
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'24': B-PT,
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'25': I-PT,
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'26': B-MT,
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'27': I-MT,
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'28': B-TM,
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'29': I-TM,
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'30': O
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- name: tokens
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sequence: string
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splits:
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