Datasets:

Modalities:
Tabular
Text
Formats:
csv
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
hsaest commited on
Commit
12b75f1
1 Parent(s): 715c6e6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -15,15 +15,15 @@ configs:
15
  path: "test.csv"
16
  ---
17
 
18
- # TravelBench Dataset
19
 
20
- TravelBench is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our [paper]() for more details.)
21
 
22
  ## Introduction
23
 
24
- In TravelBench, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day.
25
 
26
- TravelBench comprises 1,225 queries in total. The number of days and hard constraints are designed to test agents' abilities across both the breadth and depth of complex planning.
27
 
28
  ## Split
29
 
@@ -51,7 +51,7 @@ TravelBench comprises 1,225 queries in total. The number of days and hard constr
51
  If our paper or related resources prove valuable to your research, we kindly ask for citation. Please feel free to contact us with any inquiries.
52
 
53
  ```bib
54
- @article{Xie2024TravelBench,
55
  title={},
56
  author={},
57
  journal={},
 
15
  path: "test.csv"
16
  ---
17
 
18
+ # TravelPlanner Dataset
19
 
20
+ TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our [paper]() for more details.)
21
 
22
  ## Introduction
23
 
24
+ In TravelPlanner, for a given query, language agents are expected to formulate a comprehensive plan that includes transportation, daily meals, attractions, and accommodation for each day.
25
 
26
+ TravelPlanner comprises 1,225 queries in total. The number of days and hard constraints are designed to test agents' abilities across both the breadth and depth of complex planning.
27
 
28
  ## Split
29
 
 
51
  If our paper or related resources prove valuable to your research, we kindly ask for citation. Please feel free to contact us with any inquiries.
52
 
53
  ```bib
54
+ @article{Xie2024TravelPlanner,
55
  title={},
56
  author={},
57
  journal={},