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-0.8.2.tar.gz
(10.1 kB
view details)
Built Distribution
File details
Details for the file aviary_hotpotqa-0.8.2.tar.gz
.
File metadata
- Download URL: aviary_hotpotqa-0.8.2.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 | 5e2f2c1038a3ec3a63454bdb23a584a102d062a5042284814354177d227c65e1 |
|
MD5 | bf0b64aa0ef29394194a731ee384ea46 |
|
BLAKE2b-256 | 73cdd4b4e827ead62b4a3ee2f3c461875fc928303cdc9c1a1bfdff2da75e8793 |
File details
Details for the file aviary.hotpotqa-0.8.2-py3-none-any.whl
.
File metadata
- Download URL: aviary.hotpotqa-0.8.2-py3-none-any.whl
- Upload date:
- Size: 10.0 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 | be5b22361fea71d71777bf815a486b67f0282e47edce6d8aca324cddcb657a68 |
|
MD5 | 35d3fe4f25b07a42ba0118ec38683e24 |
|
BLAKE2b-256 | b3976b082696d682a22231f8551a5f4b1354ea75527e76bcb97c0493c960d5ed |