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-0.7.5.tar.gz
(10.1 kB
view details)
Built Distribution
File details
Details for the file aviary_hotpotqa-0.7.5.tar.gz
.
File metadata
- Download URL: aviary_hotpotqa-0.7.5.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 | 4d73ce1be61c9fc01249cfe0232231fb895b08e355fd5b2af492127ca49fb948 |
|
MD5 | ed8ac97ed30f23896754126a27a63143 |
|
BLAKE2b-256 | 774aae531270dad72d866a1110866d8141624181663abefb2246011ddbe62ff0 |
File details
Details for the file aviary.hotpotqa-0.7.5-py3-none-any.whl
.
File metadata
- Download URL: aviary.hotpotqa-0.7.5-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 | a2e084831a709bf77c4310be401869448436511b52f9fdc1c9b6e7fe2eda07fb |
|
MD5 | ae5bff5ec80e2509b756b2c4016198f9 |
|
BLAKE2b-256 | a616e6678e76651a9ba54bd7189c3f588720cc20632aaa7191634a350b18c783 |