Duplicate from osunlp/TravelPlanner

Co-authored-by: Jian Xie <hsaest@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-4.0
+configs:
+- config_name: train
+  data_files:
+  - split: train
+    path: train.csv
+- config_name: validation
+  data_files:
+  - split: validation
+    path: validation.csv
+- config_name: test
+  data_files:
+  - split: test
+    path: test.csv
+task_categories:
+- text-generation
+- text2text-generation
+language:
+- en
+---
+
+# TravelPlanner Dataset
+
+TravelPlanner is a benchmark crafted for evaluating language agents in tool-use and complex planning within multiple constraints. (See our [paper](https://arxiv.org/pdf/2402.01622.pdf) for more details.)
+
+## Introduction
+
+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.
+
+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.
+
+## Split
+
+<b>Train Set</b>: 5 queries with corresponding human-annotated plans for group, resulting in a total of 45 query-plan pairs. This set provides the human annotated plans as demonstrations for in-context learning.
+
+<b>Validation Set</b>: 20 queries from each group, amounting to 180 queries in total. There is no  human annotated plan in this set.
+
+<b>Test Set</b>: 1,000 randomly distributed queries. To avoid data contamination, we only provide the level, days, and natural language query fields.
+
+## Record Layout
+
+- "org": The city from where the journey begins.
+- "dest": The destination city.
+- "days": The number of days planned for the trip.
+- "visiting_city_number":  The total number of cities included in the itinerary.
+- "date": The specific date when the travel is scheduled.
+- "people_number": The total number of people involved in the travel.
+- "local_constraint": The local hard constraint, including house rule, cuisine, room type and transportation.
+- "query":  A natural language description or request related to the travel plan.
+- "level": The difficulty level, which is determined by the number of hard constraints.
+- "annotated_plan":  A detailed travel plan annotated by a human, ensuring compliance with all common sense requirements and specific hard constraints.
+- "reference_information": Reference information for "sole-planning" mode.
+
+## Citation
+
+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.
+
+```bib
+@article{Xie2024TravelPlanner,
+  author    = {Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su},
+  title     = {TravelPlanner: A Benchmark for Real-World Planning with Language Agents},
+  journal   = {arXiv preprint arXiv: 2402.01622},
+  year      = {2024}
+}
+```

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