boffire/kabyle-sentence-transformer-mpnet
Sentence Similarity • 0.3B • Updated • 20 • 1
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for Weblate Translations
A dataset containing strings from projects hosted on Weblate and their translations into other languages. Please consider donating or contributing to Weblate if you find this dataset useful.
To avoid rows with values like "None" and "N/A" being interpreted as missing values, pass the keep_default_na parameter like this:
from datasets import load_dataset
dataset = load_dataset("ayymen/Weblate-Translations", keep_default_na=False)
Dataset Details
Dataset Description
- Curated by: [More Information Needed]
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- Language(s) (NLP): [More Information Needed]
- License: Each sentence pair in the dataset has a corresponding license in the "license" column. This license is the one specified in the component or project containing the sentence.
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Uses
- Machine Translation
- Language Identification
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Source Data
Data Collection and Processing
- Sentence pairs with empty/missing elements were dropped.
- Identical pairs were dropped.
- Trailing whitespace was stripped.
- Rows were deduplicated based on all 3 columns including "license", on a config/subset/tsv file basis. Which means that a single config might contain two identical sentence pairs with different licenses. Or a different config/subset might contain the exact same row (most likely a different variant/dialect of the same language(s)).
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Weblate users.
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