Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Romanian
Size:
10K - 100K
License:
Update README.md
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README.md
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pretty_name: ROSTSC
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# RO-STS-Corpus
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## Overview
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| **Total** | | **70053** |
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## Usage
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This dataset can be used for:
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- Fine-tuning and evaluating sentence embedding models for Romanian.
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- Research on semantic textual similarity and natural language understanding (NLU) in Romanian.
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## License
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This dataset is licensed under
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## Citation
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If you use RO-STS-Corpus in your research, please cite this dataset as follows:
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We acknowledge contributions from various resources used in compiling and annotating this dataset.
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Further details and additional metadata will be added in future versions.
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pretty_name: ROSTSC
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---
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# RO-STS-Corpus
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## Overview
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| manual/generated | hand | 6471 |
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| **Total** | | **70053** |
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## Data Collection and Processing
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The data has been collected from existing datasets, primarily in English, and translated into Romanian. Some datasets were originally in Romanian and were used either in full or in part.
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## Usage
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This dataset can be used for:
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- Fine-tuning and evaluating sentence embedding models for Romanian.
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- Research on semantic textual similarity and natural language understanding (NLU) in Romanian.
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### How to Load the Dataset
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You can load the dataset using the `datasets` library from Hugging Face:
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```python
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from datasets import load_dataset
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dataset = load_dataset("RO-STS-Corpus")
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# Access the train split
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train_data = dataset["train"]
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# View an example
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print(train_data[0])
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```
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Alternatively, if you have the dataset as a CSV file, you can load it using `pandas`:
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```python
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import pandas as pd
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df = pd.read_csv("RO-STS-Corpus.csv")
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print(df.head())
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```
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This allows you to easily integrate the dataset into your training or evaluation pipeline.
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## License
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This dataset is licensed under **Apache 2.0**.
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## Citation
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If you use RO-STS-Corpus in your research, please cite this dataset as follows:
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We acknowledge contributions from various resources used in compiling and annotating this dataset.
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Further details and additional metadata will be added in future versions.
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