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---
license: apache-2.0
task_categories:
- image-text-to-text
language:
- en
tags:
- web-agents
- webvoyager
- sparse-attention
- qwen3-vl
- browser-agent
pretty_name: BrowserSparseAttention WebVoyager Trajectories
size_categories:
- 1K<n<10K
---
# BrowserSparseAttention — WebVoyager End-to-End Trajectories
Browser-agent trajectories for **Qwen3-VL-8B** running the **WebVoyager** benchmark under
sparse-attention configurations. **60,567 files, ~2.4 GB** (trajectories + per-step screenshots +
observation JSONs).
## Variants
**Summarized set (8 variants × 200 tasks = 1,600 runs)** — layout `<variant>/webvoyager__<Site>--<id>/`:
`dense`, `quest`, `block_sparse`, `tsa` (default page size) and their `*_b64` counterparts (page/block size 64).
**Extra `*_vortex` runs** — `block_sparse_vortex` (16,918 files) and `quest_vortex` (18,915 files)
from the earlier vortex/flashinfer path, organized as
`<variant>_vortex/<timestamp>_b32|b64/webvoyager__<Site>--<id>/` (timestamped batch runs, batch size
32/64) with no `run_summary.json`. Present in the dataset but not summarized/graded.
## Per-run layout
`results/<variant>/webvoyager__<Site>--<id>/` contains:
- `meta.json` — question, golden `reference_answer`, `start_url`, final `answer`, `status`, `num_steps`
- `history.json` — full agent trajectory (`{"history": [...]}`)
- `step_NNN/` — screenshot (.jpg) + observation JSON per step
- `tool_schema.json` — browser tool schema
## ⚠️ Not a graded accuracy benchmark
`status: completed` only means the agent hit a Done state before the step/time cap (~90% of every
variant, including dense, time out). No scorer compares `answer` to `reference_answer`. Use as a
trajectory / screenshot corpus, not as an accuracy ranking. See the analysis folder in the code repo
for details.