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
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-0.6.0.tar.gz
(9.8 kB
view details)
Built Distribution
File details
Details for the file aviary_hotpotqa-0.6.0.tar.gz.
File metadata
- Download URL: aviary_hotpotqa-0.6.0.tar.gz
- Upload date:
- Size: 9.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 60fb802dd25472bb89f74f05335ba9c3be24ada1b2519dc59cc89cbbec130d75 |
|
| MD5 | 7a00e55885ea65e08d2f150e41cca2a6 |
|
| BLAKE2b-256 | 537a1003d238aaa955a1fce52bbbe13cf1b2ccbd960e5820bf92ccaca8ae46d1 |
File details
Details for the file aviary.hotpotqa-0.6.0-py3-none-any.whl.
File metadata
- Download URL: aviary.hotpotqa-0.6.0-py3-none-any.whl
- Upload date:
- Size: 9.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d03abffea9226b2ab1e39f900c19ed95424d5383cfca904b81ed0df9fb80c8b1 |
|
| MD5 | 58da4dc019910d4d0df6eeefa0557df3 |
|
| BLAKE2b-256 | 1e617de9eb51721b7c38cdfdf1ac5e8318cbf0f1f817afb9905b1d24fce9ac58 |
