HotPotQA environment implemented with aviary
Project description
aviary.hotpotqa
HotPotQA environment implemented with aviary.
References
[1] Yang et al. HotpotQA: A Dataset for Diverse, Explainable Multi-Hop Question Answering. EMNLP, 2018.
[2] Yao et al., ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations. 2023
Installation
To install the HotPotQA environment, run the following command:
pip install fhaviary[hotpotqa]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aviary_hotpotqa-0.7.7.tar.gz
(10.1 kB
view details)
Built Distribution
File details
Details for the file aviary_hotpotqa-0.7.7.tar.gz
.
File metadata
- Download URL: aviary_hotpotqa-0.7.7.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4f3f99a1737adcb3cecca23783aa51487af268396a6bb40dcbcbdd4df92ae6ae |
|
MD5 | 07e8921243cc3fb4b13d4630a8725015 |
|
BLAKE2b-256 | cae4ab9c24b3f14b973c4f2fd10a8520126bd65ffe293073e9b9c2e25eff3f89 |
File details
Details for the file aviary.hotpotqa-0.7.7-py3-none-any.whl
.
File metadata
- Download URL: aviary.hotpotqa-0.7.7-py3-none-any.whl
- Upload date:
- Size: 9.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b89131d21f125e2cb07fa6699e34793165a2ccbd691cc38a7740caf89f4690d |
|
MD5 | 3af4a35450a327f59fe1bef7925aa9cf |
|
BLAKE2b-256 | 86d56a01d1776c0f8660c2953d6143c4f05e44e68f51619f3d55d2e038f065f0 |