license: mit
language:
- en
paperswithcode_id: embedding-data/altlex
pretty_name: altlex
Dataset Card for "altlex"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://github.com/chridey/altlex
- Repository: More Information Needed
- Paper: https://aclanthology.org/P16-1135.pdf
- Point of Contact: Christopher Hidey
Dataset Summary
Git repository for software associated with the 2016 ACL paper "Identifying Causal Relations Using Parallel Wikipedia Articles."
Disclaimer: The team releasing altlex did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.
Supported Tasks
- Sentence Transformers training; useful for semantic search and sentence similarity.
Languages
- English.
Dataset Structure
Each example in the dataset contains a pair of similar sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value":
{"set": [sentence_1, sentence_2]}
{"set": [sentence_1, sentence_2]}
...
{"set": [sentence_1, sentence_2]}
This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar pairs of sentences.
Usage Example
Install the 🤗 Datasets library with pip install datasets and load the dataset from the Hub with:
from datasets import load_dataset
dataset = load_dataset("embedding-data/altlex")
The dataset is loaded as a DatasetDict and has the format:
DatasetDict({
train: Dataset({
features: ['set'],
num_rows: 112696
})
})
Review an example i with:
dataset["train"][i]["set"]
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
Citation Information
Contributions
- @chridey for adding this dataset to Github.