size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: generated_task
    sequence: string
  - name: target_web_name
    dtype: string
  - name: given_task
    dtype: string
  - name: annotation_id
    dtype: string
  splits:
  - name: train
    num_bytes: 104975
    num_examples: 73
  download_size: 51033
  dataset_size: 104975
---
In this case, given_tasks are made through the following steps.
  1. make vectorDB with webname and webdescription in mind2Web.
  2. for each website in WebArena, retrieve relevant websites in mind2web, top_4, with a threshold 0.36(L2 distance)
  3. every instructions in retrieved websites(in mind2web) are used as give_task.

---
dataset_info:
  features:
  - name: annotation_id
    dtype: string
  - name: given_task
    dtype: string
  - name: target_web_name
    dtype: string
  - name: generated_task
    sequence: string
  splits:
  - name: train
    num_bytes: 115053
    num_examples: 146
  download_size: 51880
  dataset_size: 115053
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
