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-0.8.0.tar.gz
(10.1 kB
view details)
Built Distribution
File details
Details for the file aviary_hotpotqa-0.8.0.tar.gz
.
File metadata
- Download URL: aviary_hotpotqa-0.8.0.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 | f1bd7afdb7cfcf87f787331ee673bcae00327340bc379609d9b36442f0fdcab0 |
|
MD5 | 3efcc034c1291f30f39936601e6114a9 |
|
BLAKE2b-256 | 971ccce67cfcfb30f0ea600a0db10dc5399f6135735bd27c3a0b2b7c750d19da |
File details
Details for the file aviary.hotpotqa-0.8.0-py3-none-any.whl
.
File metadata
- Download URL: aviary.hotpotqa-0.8.0-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 | bab8045ad08dfbd0627c03b45c6549ab3d70b13ad2344dc0c2af2b6f86363f53 |
|
MD5 | b5f5a31ae333e6f08c49ac104203dbe7 |
|
BLAKE2b-256 | 198a172bf99cb560609ac3a0c0142dd7d0fd00df679efb369bbe841a220bf6b7 |