Reorganize SkillsBench as v1.1 benchmark dataset

Publish release-aligned v1.0/v1.1 task indexes, eval.yaml, schemas, and remove the old monolithic task mirror.

.gitattributes

@@ -1,60 +1 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.avro filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
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-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
 *.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
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-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,129 +1,106 @@
 ---
 pretty_name: SkillsBench
 language:
-  - en
+- en
 license: apache-2.0
 size_categories:
-  - n<1K
+- n<1K
 task_categories:
-  - text-generation
+- text-generation
 tags:
-  - benchmark
-  - agents
-  - tool-use
-  - skills
-  - evaluation
-  - benchflow
-arxiv: 2602.12670
-citation: |
-  @misc{skillsbench_2026,
-        title={SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks},
-        author={Xiangyi Li and Wenbo Chen and Yimin Liu and Shenghan Zheng and Xiaokun Chen and Yifeng He and Yubo Li and Bingran You and Haotian Shen and Jiankai Sun and Shuyi Wang and Binxu Li and Qunhong Zeng and Di Wang and Xuandong Zhao and Yuanli Wang and Roey Ben Chaim and Zonglin Di and Yipeng Gao and Junwei He and Yizhuo He and Liqiang Jing and Luyang Kong and Xin Lan and Jiachen Li and Songlin Li and Yijiang Li and Yueqian Lin and Xinyi Liu and Xuanqing Liu and Haoran Lyu and Ze Ma and Bowei Wang and Runhui Wang and Tianyu Wang and Wengao Ye and Yue Zhang and Hanwen Xing and Yiqi Xue and Steven Dillmann and Han-chung Lee},
-        year={2026},
-        eprint={2602.12670},
-        archivePrefix={arXiv},
-        primaryClass={cs.AI},
-        url={https://arxiv.org/abs/2602.12670}}
+- benchmark
+- agents
+- tool-use
+- skills
+- evaluation
+- benchflow
+arxiv: '2602.12670'
 configs:
-  - config_name: default
-    data_files:
-      - split: train
-        path: skillsbench-tasks.parquet
+- config_name: v1_1
+  data_files:
+  - split: test
+    path: data/v1.1/tasks.parquet
+- config_name: v1_0
+  data_files:
+  - split: test
+    path: data/v1.0/tasks.parquet
+citation: "@misc{skillsbench_2026,\n  title={SkillsBench: Benchmarking How Well Agent\
+  \ Skills Work Across Diverse Tasks},\n  author={Xiangyi Li and Wenbo Chen and Yimin\
+  \ Liu and Shenghan Zheng and Xiaokun Chen and Yifeng He and Yubo Li and Bingran\
+  \ You and Haotian Shen and Han-chung Lee},\n  year={2026},\n  eprint={2602.12670},\n\
+  \  archivePrefix={arXiv},\n  primaryClass={cs.AI},\n  url={https://arxiv.org/abs/2602.12670}\n\
+  }\n"
 ---
 
-> **Read-only mirror.** The primary source for these tasks is GitHub at
-> [`benchflow-ai/skillsbench`](https://github.com/benchflow-ai/skillsbench). Open issues
-> and pull requests there.
->
-> **Leaderboard / trajectories:** [`benchflow/skillsbench-leaderboard`](https://huggingface.co/datasets/benchflow/skillsbench-leaderboard).
-
 # SkillsBench
 
-> Agent Skills are structured packages of procedural knowledge that augment LLM agents
-> at inference time. SkillsBench measures how well agents put those skills to work on
-> realistic professional tasks across many domains.
+SkillsBench is the official Hugging Face benchmark dataset for measuring how well AI agents use structured Skills to complete realistic professional tasks. The headline metric is the paired lift between a fixed agent/model run with task Skills and the same agent/model run without those Skills.
 
-- **Paper:** [arXiv:2602.12670](https://arxiv.org/abs/2602.12670)
-- **Code & tasks:** [`github.com/benchflow-ai/skillsbench`](https://github.com/benchflow-ai/skillsbench)
-- **Runner (BenchFlow SDK):** [`github.com/benchflow-ai/benchflow`](https://github.com/benchflow-ai/benchflow)
-- **Discord:** [`discord.gg/G9dg3EfSva`](https://discord.gg/G9dg3EfSva)
+This repository is the small, stable benchmark definition. Raw trajectories, per-trial results, audits, and leaderboard exports live in [benchflow/skillsbench-leaderboard](https://huggingface.co/datasets/benchflow/skillsbench-leaderboard).
 
-## Quickstart
+## Versions
 
-The canonical install + run instructions live in the github repo's [README](https://github.com/benchflow-ai/skillsbench#readme)
-and [CONTRIBUTING.md](https://github.com/benchflow-ai/skillsbench/blob/main/CONTRIBUTING.md).
-At the time of this snapshot the runner is invoked as `bench eval create`; check the github
-repo for the current install command before copying any line below.
+| Config | Release | Tasks | Source commit | Notes |
+|---|---:|---:|---|---|
+| `v1_1` | [v1.1](https://github.com/benchflow-ai/skillsbench/releases/tag/v1.1) | 87 | `27738384b1df694ea2ae466e416f476e94d8fab9` | Latest native BenchFlow `task.md` package release. |
+| `v1_0` | [v1.0](https://github.com/benchflow-ai/skillsbench/releases/tag/v1.0) | 87 | `14f3396760786d4ec9ea28e7b865f2ce4d199fdf` | Historical 87-task public snapshot. |
 
-```bash
-# Run the oracle agent (no API key required) to confirm tasks load:
-bench eval create -t tasks --agent oracle
-
-# Run a real agent with skills:
-bench eval create \
-  -t tasks --agent claude-agent-acp -m claude-opus-4-7 \
-  -s tasks/<task-id>/environment/skills \
-  -o jobs/with-skills
-
-# … and again without skills, to measure the skill delta:
-bench eval create \
-  -t tasks --agent claude-agent-acp -m claude-opus-4-7 \
-  -o jobs/no-skills
+## Files
+
+```text
+data/<version>/tasks.parquet        # one row per active benchmark task
+data/<version>/task_manifest.json   # release manifest from GitHub Releases
+data/<version>/excluded_tasks.json  # excluded task packages documented by the release
+schemas/task.schema.json            # task-index row schema
+eval.yaml                           # Hugging Face benchmark registration surface
 ```
 
-To submit a run to the leaderboard, copy `jobs/<run-timestamp>/` into a fork of
-[`benchflow/skillsbench-leaderboard`](https://huggingface.co/datasets/benchflow/skillsbench-leaderboard)
-under `submissions/skillsbench/v0.1/<agent>__<model>/` and open a PR. See that repo's
-README for the full submission protocol.
-
-## What's in this dataset
-
-A single parquet bundling the full task corpus from upstream `main` at commit
-`05f263429c5033604da64e8de568ce654fcbe6e6` (91 tasks). One row per task with
-`task.toml` metadata flattened to top-level columns, key text files inlined
-(`instruction`, `dockerfile`, `solve_sh`, `test_sh`, `test_outputs`), and every
-other file (environment data, solution artefacts, test fixtures, skill assets) in
-`files: list[struct{path, size_bytes, sha256, is_text, content}]` with binary
-content as parquet `binary`.
-
-| Field | Type | Description |
-|---|---|---|
-| `task_id` | string | directory name under `tasks/` |
-| `category`, `difficulty` | string | from `task.toml` `[metadata]` |
-| `difficulty_explanation` | string | author's prose on why the task is hard |
-| `tags` | list[string] | `[metadata].tags` |
-| `allow_internet` | bool | `[environment].allow_internet` |
-| `instruction`, `task_toml`, `dockerfile`, `solve_sh`, `test_sh`, `test_outputs` | string | inlined source files |
-| `skills` | list[struct] | `{name, description, skill_md}` per skill in `environment/skills/` |
-| `files` | list[struct] | every other file: `{path, size_bytes, sha256, is_text, content}` |
+The main table intentionally stores task metadata and immutable source pointers only. The complete task packages remain canonical at the GitHub release tag so the Hub dataset stays viewer-friendly and avoids duplicating solution, verifier, and fixture payloads.
+
+## Loading
 
 ```python
-from huggingface_hub import hf_hub_download
-import pyarrow.parquet as pq, pyarrow.compute as pc
-
-path = hf_hub_download("benchflow/skillsbench",
-                       "skillsbench-tasks.parquet", repo_type="dataset")
-t = pq.read_table(path)
-row = t.filter(pc.equal(t["task_id"], "shock-analysis-demand")).to_pylist()[0]
-for f in row["files"]:
-    ...  # write f["content"] to f["path"]
+from datasets import load_dataset
+
+ds = load_dataset("benchflow/skillsbench", "v1_1", split="test")
+print(ds[0]["task_id"], ds[0]["source_url"])
 ```
 
-## Anti-contamination
+## Running
+
+Reproduce v1.1 with the BenchFlow 0.6.x `task.md` runner line:
 
-> **Do not train models on this dataset.** Solutions and ground-truth tests are inlined
-> for reproducibility. Contamination on those will void any benchmark numbers reported
-> against SkillsBench.
+```bash
+git clone --branch v1.1 https://github.com/benchflow-ai/skillsbench.git
+cd skillsbench
+uv tool install "benchflow>=0.6.2,<0.7"
+bench tasks check tasks/<task-id>
+bench eval create --tasks-dir tasks/<task-id> --agent oracle --sandbox docker
+```
 
-## Citing SkillsBench
+Paired agent submissions should run the same task set twice:
 
-```bibtex
-@misc{skillsbench_2026,
-      title={SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks},
-      author={Xiangyi Li and Wenbo Chen and Yimin Liu and Shenghan Zheng and Xiaokun Chen and Yifeng He and Yubo Li and Bingran You and Haotian Shen and Jiankai Sun and Shuyi Wang and Binxu Li and Qunhong Zeng and Di Wang and Xuandong Zhao and Yuanli Wang and Roey Ben Chaim and Zonglin Di and Yipeng Gao and Junwei He and Yizhuo He and Liqiang Jing and Luyang Kong and Xin Lan and Jiachen Li and Songlin Li and Yijiang Li and Yueqian Lin and Xinyi Liu and Xuanqing Liu and Haoran Lyu and Ze Ma and Bowei Wang and Runhui Wang and Tianyu Wang and Wengao Ye and Yue Zhang and Hanwen Xing and Yiqi Xue and Steven Dillmann and Han-chung Lee},
-      year={2026},
-      eprint={2602.12670},
-      archivePrefix={arXiv},
-      primaryClass={cs.AI},
-      url={https://arxiv.org/abs/2602.12670}}
+```bash
+bench eval create --tasks-dir tasks/<task-id> --skill-mode with-skill --skills-dir tasks/<task-id>/environment/skills --agent <agent> --model <model>
+bench eval create --tasks-dir tasks/<task-id> --skill-mode no-skill --agent <agent> --model <model>
 ```
+
+## Benchmark Metrics
+
+Official leaderboard scores are computed from reviewed non-timeout trials in `benchflow/skillsbench-leaderboard`:
+
+- `skillsbench_v1_1_with_skills`: `100 * mean(reward | skill_mode = with-skill)`
+- `skillsbench_v1_1_without_skills`: `100 * mean(reward | skill_mode = no-skill)`
+- `skillsbench_v1_1_skill_lift`: `with_skills_score - without_skills_score`
+
+## Related
+
+- Website: [skillsbench.ai](https://www.skillsbench.ai)
+- Source tasks: [benchflow-ai/skillsbench](https://github.com/benchflow-ai/skillsbench)
+- Runner: [benchflow-ai/benchflow](https://github.com/benchflow-ai/benchflow)
+- Leaderboard evidence: [benchflow/skillsbench-leaderboard](https://huggingface.co/datasets/benchflow/skillsbench-leaderboard)
+- Framework registration: [huggingface.js#2139](https://github.com/huggingface/huggingface.js/pull/2139)
+
+## Anti-Contamination
+
+Do not train models on task solutions, verifier outputs, or trajectory artifacts. Official SkillsBench numbers are valid only when evaluated against the pinned release task set without accessing hidden solution or benchmark result artifacts during the run.

data/v1.0/excluded_tasks.json

@@ -0,0 +1,294 @@
+[
+  {
+    "author": "Aaron Taylor",
+    "category": "programming",
+    "difficulty": "hard",
+    "digest": "sha256:bb1fcd80214776b78b247593808b81d28f2bd63973acf7ceaa6c44b67ad14cf9",
+    "excluded": true,
+    "last_changed": "2026-06-04T04:32:05Z",
+    "last_commit": "626c2da0a526",
+    "name": "cobol-gl-batch-reconcile",
+    "path": "tasks-extra/cobol-gl-batch-reconcile",
+    "subcategory": null,
+    "tags": [
+      "cobol",
+      "mainframe",
+      "batch",
+      "gnucobol",
+      "finance",
+      "legacy"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/cobol-gl-batch-reconcile",
+    "version": "1.0"
+  },
+  {
+    "author": "Qi Qi",
+    "category": "ml-implementation",
+    "difficulty": "hard",
+    "digest": "sha256:257a4ed3eae692970073bcecdee137fb3995c424468e89d1291aa9e71de70e4c",
+    "excluded": true,
+    "last_changed": "2026-05-29T21:55:36-07:00",
+    "last_commit": "e096a89896a0",
+    "name": "diff-transformer_impl",
+    "path": "tasks-extra/diff-transformer_impl",
+    "subcategory": null,
+    "tags": [
+      "pytorch",
+      "deep-learning",
+      "transformer",
+      "residual-connections",
+      "optimization",
+      "modal",
+      "gpu"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/diff-transformer_impl",
+    "version": "1.0"
+  },
+  {
+    "author": "Haoran Lyu",
+    "category": "natural-science",
+    "difficulty": "medium",
+    "digest": "sha256:dc0a0053dd40be5e383e668fd59c9c1edd77fce6999f3b6161e5435e014d13a8",
+    "excluded": true,
+    "last_changed": "2026-06-01T01:56:17Z",
+    "last_commit": "559d57fa8fa9",
+    "name": "find-topk-similiar-chemicals",
+    "path": "tasks-extra/find-topk-similiar-chemicals",
+    "subcategory": "chemistry",
+    "tags": [
+      "chemistry",
+      "PDF",
+      "python"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/find-topk-similiar-chemicals",
+    "version": "1.0"
+  },
+  {
+    "author": "SkillsBench",
+    "category": "software-engineering",
+    "difficulty": "medium",
+    "digest": "sha256:2da8b7a428a9a98851e9c38aa4b57a668dbf508b41d214eee1f8b36cfde10055",
+    "excluded": true,
+    "last_changed": "2026-06-01T01:56:17Z",
+    "last_commit": "559d57fa8fa9",
+    "name": "gh-repo-analytics",
+    "path": "tasks-extra/gh-repo-analytics",
+    "subcategory": "repo-analysis",
+    "tags": [
+      "github",
+      "gh-cli",
+      "data-analysis",
+      "ci-cd",
+      "devops"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/gh-repo-analytics",
+    "version": "1.0"
+  },
+  {
+    "author": "Miao Li",
+    "category": "cloud-infrastructure",
+    "difficulty": "medium",
+    "digest": "sha256:c7c282cbe23ea7597a69b38f71f10ac0bd46040ce0788be6c0327c342ac1f2c1",
+    "excluded": true,
+    "last_changed": "2026-05-29T21:55:36-07:00",
+    "last_commit": "e096a89896a0",
+    "name": "gpu-cluster-online-scheduling",
+    "path": "tasks-extra/gpu-cluster-online-scheduling",
+    "subcategory": null,
+    "tags": [
+      "gpu-scheduling",
+      "online-scheduling",
+      "fragmentation",
+      "cluster-management",
+      "resource-allocation"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/gpu-cluster-online-scheduling",
+    "version": "1.0"
+  },
+  {
+    "author": "Yimin Liu",
+    "category": "ml-implementation",
+    "difficulty": "hard",
+    "digest": "sha256:5ee99bd483d2efd7c74a2bd50b7dd85de00ad7ebdf41a3bb91c1c4ca9e6e396b",
+    "excluded": true,
+    "last_changed": "2026-05-29T21:55:36-07:00",
+    "last_commit": "e096a89896a0",
+    "name": "mhc-layer-impl",
+    "path": "tasks-extra/mhc-layer-impl",
+    "subcategory": null,
+    "tags": [
+      "pytorch",
+      "deep-learning",
+      "transformer",
+      "residual-connections",
+      "optimization",
+      "modal",
+      "gpu"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/mhc-layer-impl",
+    "version": "1.0"
+  },
+  {
+    "author": "Xinyu Zhang",
+    "category": "legal",
+    "difficulty": "easy",
+    "digest": "sha256:1cb1165bcf7cc96281040803409df45fac06047037fe838a16581b104f598c38",
+    "excluded": true,
+    "last_changed": "2026-06-11T19:23:13Z",
+    "last_commit": "5149881af40a",
+    "name": "nda-playbook-review",
+    "path": "tasks-extra/nda-playbook-review",
+    "subcategory": null,
+    "tags": [
+      "legal",
+      "contracts",
+      "nda",
+      "playbook",
+      "review"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/nda-playbook-review",
+    "version": "1.0"
+  },
+  {
+    "author": "Yijiang Li",
+    "category": "media-content-production",
+    "difficulty": "hard",
+    "digest": "sha256:f54954d0fb130db6d8bd426c49d3cee4d3c5609cdb5c093f8b06b269a9ed1220",
+    "excluded": true,
+    "last_changed": "2026-06-03T18:28:38-07:00",
+    "last_commit": "a993c45649fe",
+    "name": "pedestrian-traffic-counting",
+    "path": "tasks-extra/pedestrian-traffic-counting",
+    "subcategory": "video-processing",
+    "tags": [
+      "video understanding",
+      "pedestrian traffic counting",
+      "counting"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/pedestrian-traffic-counting",
+    "version": "1.0"
+  },
+  {
+    "author": "Yueqian Lin",
+    "category": "media-content-production",
+    "difficulty": "medium",
+    "digest": "sha256:f334014fabb4a5c2df44caee0b890c6955a49bc489236f694e931ec1a5adfbd4",
+    "excluded": true,
+    "last_changed": "2026-06-01T01:56:17Z",
+    "last_commit": "559d57fa8fa9",
+    "name": "pg-essay-to-audiobook",
+    "path": "tasks-extra/pg-essay-to-audiobook",
+    "subcategory": "audio-processing",
+    "tags": [
+      "tts",
+      "audiobook",
+      "web-scraping",
+      "openai-tts",
+      "elevenlabs",
+      "gtts"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/pg-essay-to-audiobook",
+    "version": "1.0"
+  },
+  {
+    "author": "Xinyi Liu",
+    "category": "Scheduling",
+    "difficulty": "medium",
+    "digest": "sha256:746c4c41cfbf09012a1b6e45a44a69427f8fd08d4e9423e3c72b0eda278d704a",
+    "excluded": true,
+    "last_changed": "2026-05-29T21:55:36-07:00",
+    "last_commit": "e096a89896a0",
+    "name": "scheduling-email-assistant",
+    "path": "tasks-extra/scheduling-email-assistant",
+    "subcategory": null,
+    "tags": [
+      "scheduling",
+      "calendar"
+    ],
+    "url": "https://github.com/benchflow-ai/skillsbench/tree/14f3396760786d4ec9ea28e7b865f2ce4d199fdf/tasks-extra/scheduling-email-assistant",
+    "version": "1.0"
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data/v1.0/task_manifest.json

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+        "data-recovery",
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+      "subcategory": "contract-review",
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+        "legal",
+        "contracts",
+        "nda",
+        "playbook",
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+      "subcategory": "video-processing",
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+        "video understanding",
+        "pedestrian traffic counting",
+        "counting"
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+      "category": "media-content-production",
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+      "subcategory": "audio-processing",
+      "tags": [
+        "tts",
+        "audiobook",
+        "web-scraping",
+        "openai-tts",
+        "elevenlabs",
+        "gtts"
+      ],
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+      "path": "tasks-extra/speaker-diarization-subtitles",
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+        "video"
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+      "path": "tasks-extra/taxonomy-tree-merge",
+      "subcategory": "business-reporting",
+      "tags": [
+        "taxonomy-alignment",
+        "hierarchical-clustering",
+        "embeddings",
+        "nlp",
+        "ecommerce",
+        "ontology-merging"
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+      "category": "media-content-production",
+      "difficulty": "medium",
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+      "path": "tasks-extra/video-filler-word-remover",
+      "subcategory": "video-processing",
+      "tags": [
+        "video",
+        "audio",
+        "editing",
+        "filler-words"
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+      "url": "https://github.com/benchflow-ai/skillsbench/tree/27738384b1df694ea2ae466e416f476e94d8fab9/tasks-extra/video-filler-word-remover",
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+      "category": "media-content-production",
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+      "name": "video-tutorial-indexer",
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+      "subcategory": "video-processing",
+      "tags": [
+        "video",
+        "speech-to-text",
+        "nlp",
+        "tutorial",
+        "education",
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+      "url": "https://github.com/benchflow-ai/skillsbench/tree/27738384b1df694ea2ae466e416f476e94d8fab9/tasks-extra/video-tutorial-indexer",
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+}

data/v1.1/tasks.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:57b1b0c77056a88d437a536ffc21cdcc30d3a0e2cead7daadf822d22d8d8a252
+size 31170

eval.yaml

@@ -0,0 +1,16 @@
+name: SkillsBench
+description: >
+  SkillsBench measures how well AI agents use structured Skills to complete
+  realistic professional tasks. The headline metric is paired with-skills
+  versus without-skills lift under a fixed BenchFlow harness.
+evaluation_framework: benchflow
+tasks:
+  - id: skillsbench_v1_1_skill_lift
+    config: v1_1
+    split: test
+  - id: skillsbench_v1_1_with_skills
+    config: v1_1
+    split: test
+  - id: skillsbench_v1_1_without_skills
+    config: v1_1
+    split: test

schemas/task.schema.json

@@ -0,0 +1,112 @@
+{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "properties": {
+    "author": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "benchflow_version_range": {
+      "type": "string"
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+    },
+    "category": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "difficulty": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "has_oracle": {
+      "type": "boolean"
+    },
+    "has_verifier": {
+      "type": "boolean"
+    },
+    "last_changed": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "last_commit": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "release": {
+      "pattern": "^v[0-9]+\\.[0-9]+$",
+      "type": "string"
+    },
+    "requires_skills": {
+      "type": "boolean"
+    },
+    "source_commit": {
+      "pattern": "^[0-9a-f]{40}$",
+      "type": "string"
+    },
+    "source_path": {
+      "type": "string"
+    },
+    "source_repo": {
+      "const": "benchflow-ai/skillsbench"
+    },
+    "source_tag": {
+      "type": "string"
+    },
+    "source_url": {
+      "type": "string"
+    },
+    "split": {
+      "const": "test"
+    },
+    "subcategory": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "tags": {
+      "items": {
+        "type": "string"
+      },
+      "type": "array"
+    },
+    "task_digest": {
+      "pattern": "^sha256:[0-9a-f]{64}$",
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "task_id": {
+      "type": "string"
+    },
+    "task_version": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "benchmark",
+    "release",
+    "task_id",
+    "source_repo",
+    "source_commit",
+    "source_path",
+    "category",
+    "difficulty",
+    "task_digest",
+    "split"
+  ],
+  "title": "SkillsBench task index row",
+  "type": "object"
+}