EvaluateQA
Package for evaluate QA datasets and Leaderboard with SOTA approaches
Install
pip install evaluateqa
Supported datasets
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
from evaluateqa.mintaka import evaluate
predictions = {
'9ace9041': 'Q90',
'9ace9042': 3,
...
}
results = evaluate(
predictions,
split='test',
mode='kg',
lang='en',
)
Metadata
Release files for evaluateqa 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| evaluateqa-0.1.3.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| evaluateqa-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.3 kB
Release files / evaluateqa-0.1.3.tar.gz
| Download URL | evaluateqa-0.1.3.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / evaluateqa-0.1.3-py3-none-any.whl
| Download URL | evaluateqa-0.1.3-py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.8.10 Linux/5.15.0-56-generic
|