Add image-text-to-text task category and improve metadata

Hi! I'm Niels, part of the community science team at Hugging Face.

I'm opening this PR to improve the dataset card for MyPCBench Tasks:
- Added `image-text-to-text` to the `task_categories` in the metadata.
- Moved the `arxiv` ID from the YAML tags to the markdown content (linking to the paper).
- Added explicit links to the project page and GitHub repository.
- Updated the citation to include all authors.

This helps researchers find and understand the dataset more easily on the Hub!

README.md

@@ -1,12 +1,13 @@
 ---
-license: mit
 language:
 - en
-pretty_name: MyPCBench Tasks
+license: mit
 size_categories:
 - n<1K
+pretty_name: MyPCBench Tasks
+task_categories:
+- image-text-to-text
 tags:
-- arxiv:2606.16748
 - computer-use
 - agents
 - benchmark
@@ -24,19 +25,14 @@ configs:
 
 **A benchmark for personally intelligent computer-use agents.**
 
-This dataset is the task set and grading rubrics for
-[MyPCBench](https://github.com/ljang0/MyPCBench). It accompanies the VM image
-[`ljang0/mypcbench-qemu-baseline`](https://huggingface.co/ljang0/mypcbench-qemu-baseline)
-and the [paper](https://huggingface.co/papers/2606.16748).
+This dataset provides the task set and grading rubrics for [MyPCBench](https://github.com/ljang0/MyPCBench). 
 
-MyPCBench is a reproducible Linux-desktop benchmark seeded end-to-end from one
-canonical persona (Michael Scott, *The Office*). The image hosts 17
-pre-logged-in web apps mirroring real consumer products plus the full
-LibreOffice suite; the persona's records (bank transactions, emails, calendar
-events, chat messages, retail/grocery/food orders, web visits, rides) are
-**cross-linked**, so one trip leaves correlated records across every app that
-would plausibly book it. Agents are evaluated on tasks that require **knowing
-who the user is**.
+- **Paper:** [MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents](https://huggingface.co/papers/2606.16748)
+- **Project Page:** [https://mypcbench.com/](https://mypcbench.com/)
+- **GitHub:** [https://github.com/ljang0/MyPCBench](https://github.com/ljang0/MyPCBench)
+- **VM Image:** [`ljang0/mypcbench-qemu-baseline`](https://huggingface.co/ljang0/mypcbench-qemu-baseline)
+
+MyPCBench is a reproducible Linux-desktop benchmark seeded end-to-end from one canonical persona (Michael Scott, *The Office*). The image hosts 17 pre-logged-in web apps mirroring real consumer products plus the full LibreOffice suite. The persona's records (bank transactions, emails, calendar events, chat messages, retail/grocery/food orders, web visits, rides) are **cross-linked**, so one trip leaves correlated records across every app that would plausibly book it. Agents are evaluated on tasks that require **knowing who the user is**.
 
 ## Loading
 
@@ -52,9 +48,7 @@ print(task["grading"]["rubrics"])
 ## Contents
 
 - **184 tasks**, all rubric-graded (LLM-as-judge).
-- `data/tasks.jsonl` — the dataset split the viewer and `load_dataset` use. One
-  row per task, with grading rubrics inlined and the paper's behavioural-type
-  label merged in.
+- `data/tasks.jsonl` — the dataset split the viewer and `load_dataset` use. One row per task, with grading rubrics inlined and the paper's behavioural-type label merged in.
 - `raw/` — the verbatim source files from the GitHub repo, for fidelity:
   - `all_tasks_with_grading.json` — flat eval input (grading inlined).
   - `all_tasks.json` — convenience flat list **without** grading (do not grade with this).
@@ -80,19 +74,15 @@ Each row has:
 
 ## Grading
 
-Grading is **rubric-only** (LLM-as-judge). The runner records episode
-completion; an offline judge scores each rubric over the full trajectory. See
-the [GitHub repo](https://github.com/ljang0/MyPCBench) for the runner and judge.
+Grading is **rubric-only** (LLM-as-judge). The runner records episode completion; an offline judge scores each rubric over the full trajectory. See the [GitHub repo](https://github.com/ljang0/MyPCBench) for the runner and judge.
 
 ## Citation
 
 ```bibtex
 @misc{jang2026mypcbench,
   title  = {MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents},
-  author = {Jang, Lawrence},
+  author = {Jang, Lawrence Keunho and Jang, Andrew Keunwoo and Koh, Jing Yu and Salakhutdinov, Ruslan},
   year   = {2026},
   url    = {https://huggingface.co/papers/2606.16748}
 }
-```
-
-License: MIT.
+```