Darelab Datasets Docs
A quick access library of datasets used in Darelab.
Installation
Install: pip install dare-datasets
Documentation: https://darelab.athenarc.gr/datasets-docs/add_dataset/
Datasets included:
- QR2T Benchmark from MikeXydas
- Iris from MikeXydas
- Spider from George Katsogiannis & Anna Mitsopoulou
- ToTTo from MikeXydas
- Wikitable from MikeXydas
Usage
from dare_datasets import QR2TBenchmark
qr2t_benchmark = QR2TBenchmark()
qr2t_data = qr2t_benchmark.get()
For each dataset, additional methods might exist. Check the documentation of each dataset for more details.
Dev Installation
For development purposes, additional libraries must be installed such as pytest and mkdocs.
Prerequisites:
1. Clone the repository
2. poetry install
3. pre-commit install (Optional)
4. git branch new_dataset_name
After any contribution you should open a pull request.
Testing
pytest is the testing framework used for this project. Commands:
pytest- Run all tests. Warning: This will download all datasets in a temp directory (~4GB).pytest -m "not download"- Run all tests except the ones that download datasets (suggested during development).
1 maintainer
Release files for dare-datasets 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dare_datasets-1.0.1.tar.gz | 15.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dare_datasets-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.8 kB
Release files / dare_datasets-1.0.1.tar.gz
| Download URL | dare_datasets-1.0.1.tar.gz |
|---|---|
| Size | 15.6 kB |
| Tags | Source |
|
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Release files / dare_datasets-1.0.1-py3-none-any.whl
| Download URL | dare_datasets-1.0.1-py3-none-any.whl |
|---|---|
| Size | 22.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.3 Linux/5.4.0-152-generic
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