Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
ArXiv:
License:
| license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - web-agent | |
| - browser-agent | |
| - web-navigation | |
| - element-grounding | |
| - mind2web | |
| pretty_name: WebChain Elements | |
| size_categories: | |
| - 10K<n<100K | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train.jsonl | |
| - split: test | |
| path: data/test.jsonl | |
| # WebChain Elements — human browser trajectories as element-level decision steps | |
| **10,930 steps** (2,555 tasks, 243 real websites) from [WebChain](https://huggingface.co/datasets/webagentlab/webchain) | |
| (webagentlab, CC-BY-4.0) turned into one-step decision examples in the text format browser-agent decision heads use: | |
| the task goal, the page (URL, title, visible text), the list of interactive elements, the actions taken so far, and the | |
| **gold operation + gold element** the human chose. | |
| | split | steps | tasks | websites | CLICK / TYPE_TEXT / PRESS_ENTER | | |
| |---|---|---|---|---| | |
| | train | 8,435 | 1,935 | 199 | 7,273 / 1,053 / 109 | | |
| | test | 2,495 | 620 | 44 | 2,109 / 364 / 22 | | |
| The test split holds out whole **websites** (none of its 44 sites appears in train). Tasks are mostly multi-constraint | |
| (filters, sorts, dates) on shopping, travel, real-estate and job sites. | |
| ## Fields | |
| ``` | |
| goal the task, e.g. "Look for the lowest-priced women's double-breasted trench coats." | |
| website the site's primary host; domain / intent: WebChain's labels | |
| url, title the page the step was taken on; page_text: its visible text (<= 6,000 chars) | |
| candidates interactive elements (≤ 60, page order): {id, kind: click|fill, label, role, value?, checked?, ...} | |
| history earlier steps of the same trajectory: {action, kind, text, page_changed} | |
| gold_op CLICK | TYPE_TEXT | PRESS_ENTER | |
| gold_id the chosen candidate's id (click:N / fill:N; "press_enter" for PRESS_ENTER) | |
| gold_label its label; gold_text: the typed text for TYPE_TEXT | |
| ``` | |
| ## How it was built | |
| WebChain records, per step, a CSS selector plus links to the page's accessibility tree (AX) and DOM snapshot. For 3,000 | |
| randomly chosen trajectories (seed 0), every step's AX tree was fetched and flattened; the **gold element was recovered | |
| exactly** by resolving the step's CSS selector in the DOM snapshot and following its `data-imean-axt-id` to the AX node | |
| (text matching only as a fallback — it disagreed with the selector on ~13 % of a sample, so it is never the default). | |
| Candidates are the page's interactive AX nodes plus some non-semantic text nodes (the clicked target is often a | |
| `<span>`/`<div>`), capped at 60 in page order. Steps whose gold element has **no label** or whose label is **duplicated** | |
| among the candidates were dropped (they cannot be learned from text), as were hover / drag / copy / paste steps. | |
| WebChain has no scroll and no explicit "task done" steps, so neither appears here. | |
| Converter: [`code/finetune/convert_webchain.py`](https://huggingface.co/cklxx/laya-browser/blob/main/code/finetune/convert_webchain.py) | |
| in [cklxx/laya-browser](https://huggingface.co/cklxx/laya-browser), whose model v19s was trained on the train split | |
| (held-out test: click operation 0.94, click target top-1 0.48). | |
| ## License and attribution | |
| CC-BY-4.0, derived from WebChain by webagentlab | |
| ([paper](https://arxiv.org/abs/2603.05295), [dataset](https://huggingface.co/datasets/webagentlab/webchain)). | |
| Page texts come from public websites as recorded in WebChain. | |