travel

.gitattributes

@@ -54,4 +54,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
 test.csv filter=lfs diff=lfs merge=lfs -text
-test_ref_info.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -4,20 +4,15 @@ configs:
 - config_name: train
   data_files:
   - split: train
-    path: train.csv
+    path: "train.csv"
 - config_name: validation
   data_files:
   - split: validation
-    path: validation.csv
+    path: "validation.csv"
 - config_name: test
   data_files:
   - split: test
-    path: test.csv
-task_categories:
-- text-generation
-- text2text-generation
-language:
-- en
+    path: "test.csv"
 ---
 
 # TravelPlanner Dataset
@@ -45,7 +40,7 @@ TravelPlanner comprises 1,225 queries in total. The number of days and hard cons
 - "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.
+- "people_numbe": 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.
@@ -63,4 +58,7 @@ If our paper or related resources prove valuable to your research, we kindly ask
   journal   = {arXiv preprint arXiv: 2402.01622},
   year      = {2024}
 }
-```
+```
+
+
+

test.csv

@@ -1,3 +1,3 @@
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+oid sha256:03e826282de44ba89204c39c5472050f8a90b84921d9bbc06c2d7a0e55456523
 size 26743834

test_ref_info.jsonl

@@ -1,3 +0,0 @@
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