Datasets:
File size: 2,897 Bytes
2cd8cde 87fc060 2cd8cde 87fc060 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
---
dataset_info:
features:
- name: query_id
dtype: int64
- name: query
dtype: string
- name: document
dtype: string
splits:
- name: retail
num_bytes: 16261464
num_examples: 5000
- name: videogames
num_bytes: 7786542
num_examples: 4360
- name: books
num_bytes: 2858945
num_examples: 2245
- name: news
num_bytes: 11619385
num_examples: 2375
- name: web
num_bytes: 17871918
num_examples: 1500
- name: debate
num_bytes: 10085407
num_examples: 880
download_size: 33921309
dataset_size: 66483661
configs:
- config_name: default
data_files:
- split: retail
path: data/retail-*
- split: videogames
path: data/videogames-*
- split: books
path: data/books-*
- split: news
path: data/news-*
- split: web
path: data/web-*
- split: debate
path: data/debate-*
language:
- en
license: apache-2.0
tags:
- SEO
- CSEO
- RAG
- conversational-search-engine
---
## Dataset Summary
**C-SEO Bench** is a benchmark designed to evaluate conversational search engine optimization (C-SEO) techniques across two common tasks: **product recommendation** and **question answering**. Each task spans multiple domains to assess domain-specific effects and generalization ability of C-SEO methods.
## Supported Tasks and Domains
### Product Recommendation
This task requires an LLM to recommend the top-k products relevant to a user query, using only the content of 10 retrieved product descriptions. The task simulates a cold-start setting with no user profile. Domains:
- **Retail**: Queries and product descriptions from Amazon.
- **Video Games**: Search tags and game descriptions from Steam.
- **Books**: GPT-generated queries with book synopsis from the Google Books API.
### Question Answering
This task involves answering queries based on multiple passages. Domains:
- **Web Questions**: Real search engine queries with retrieved web content.
- **News**: GPT-generated questions over sets of related news articles.
- **Debate**: Opinionated queries requiring multi-perspective evidence.
Total: Over **1.9k queries** and **16k documents** across six domains.
For more information about the dataset construction, please refer to the original publication.
Developed at [Parameter Lab](https://parameterlab.de/) with the support of [Naver AI Lab](https://clova.ai/en/ai-research).
## Disclaimer
> This repository contains experimental software results and is published for the sole purpose of giving additional background details on the respective publication.
## Citation
If this work is useful for you, please consider citing it
```
TODO
```
✉️ Contact person: Haritz Puerto, [email protected]
🏢 https://www.parameterlab.de/
Don't hesitate to send us an e-mail or report an issue if something is broken (and it shouldn't be) or if you have further questions. |