Initial release

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/test.jsonl filter=lfs diff=lfs merge=lfs -text
+data/train.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+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.

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