Datasets:
Publish DataSpace inputs and 60 public references
Browse files- CITATION.cff +36 -0
- LICENSE +21 -0
- README.md +175 -0
- data/public_reference_tasks.json +66 -0
- data/tasks.jsonl +0 -0
- release/DataSpace-Benchmark.zip +3 -0
- release/DataSpace-Benchmark.zip.sha256 +1 -0
CITATION.cff
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cff-version: 1.2.0
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type: dataset
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message: "If you use DataSpace, please cite the accompanying paper."
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title: "DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces"
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authors:
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- family-names: Li
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given-names: Boyan
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- family-names: Liang
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given-names: Zhuowen
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- family-names: Xie
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given-names: Yupeng
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- family-names: Lin
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given-names: Xiaotian
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- family-names: Luo
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given-names: Tianqi
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- family-names: Liu
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given-names: Xinyu
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- family-names: Zhu
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given-names: Yizhang
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- family-names: Peng
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given-names: Zhangyang
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- family-names: Li
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given-names: Yuan
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- family-names: Zhang
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given-names: Zhengxuan
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- family-names: Zhang
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given-names: Jiayi
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- family-names: Tang
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given-names: Nan
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- family-names: Li
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given-names: Guoliang
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- family-names: Luo
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given-names: Yuyu
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date-released: 2026-07-27
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license: MIT
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url: "https://huggingface.co/datasets/HKUSTDial/DataSpace"
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LICENSE
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MIT License
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Copyright (c) 2026 DataSpace Authors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this dataset and associated documentation files (the "Dataset"), to deal
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in the Dataset without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Dataset, and to permit persons to whom the Dataset is furnished
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to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Dataset.
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THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE
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DATASET.
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README.md
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---
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pretty_name: DataSpace
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license: mit
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language:
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- en
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- zh
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task_categories:
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- table-question-answering
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size_categories:
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- n<1K
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tags:
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- data-agent
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- benchmark
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- heterogeneous-data
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- multimodal
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- tabular
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- document
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- video
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configs:
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- config_name: default
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data_files:
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- split: test
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path: data/tasks.jsonl
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---
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# DataSpace
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DataSpace is a benchmark for data agents that perform verifiable analytics over
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heterogeneous, task-local workspaces. Each task provides a natural-language
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question and a workspace containing a combination of CSV, JSON, SQLite,
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Markdown, PDF, and video artifacts. The required output is a complete tabular
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result.
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DataSpace is also the official benchmark of the
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[KDD Cup 2026 Data Agent Track](https://dataagent.top).
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## Release policy
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This release makes all 410 task inputs public. It includes `gold.csv` and the
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frozen evaluation configuration for a representative set of 60 tasks, allowing
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end-to-end local development and validation. References for the other 350 tasks
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are withheld for official full-benchmark evaluation.
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The public-reference set was selected by deterministic constrained coverage
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optimization over source domains, question--workspace language combinations,
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| 46 |
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evidence-carrier combinations, required modalities, analytical operations,
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| 47 |
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answer shapes, numeric comparison modes, and ordering behavior. It covers all
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six modalities, all annotated analytical-operation families, and all
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evidence-carrier groups without repeated source samples.
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## Benchmark summary
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| 52 |
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| Property | Value |
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| --- | ---: |
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| Task inputs | 410 |
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| Public reference packages | 60 |
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| Context files | 7,439 |
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| Uncompressed context size | 15.0 GB |
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| CSV files | 2,809 |
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| JSON files | 1,927 |
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| SQLite databases | 402 |
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| Markdown documents | 1,024 |
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| PDF documents | 1,088 |
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| Videos | 189 |
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Chinese and English may occur across both the question and workspace artifacts.
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Tasks may require evidence discovery, structured extraction, joins across
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representations, filtering, aggregation, ranking, temporal reasoning, and
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document or video understanding.
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## Repository layout
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```text
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.
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├── README.md
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├── CITATION.cff
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├── LICENSE
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├── data/
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│ ├── tasks.jsonl
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│ └── public_reference_tasks.json
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└── release/
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├── DataSpace-Benchmark.zip
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└── DataSpace-Benchmark.zip.sha256
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```
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`data/tasks.jsonl` is a lightweight index for the Hugging Face Dataset Viewer.
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It contains questions, workspace paths, available modality composition, file
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inventories, and a public-reference availability flag. It does not expose
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answer or solution-path metadata for withheld tasks.
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## Download
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Install the Hugging Face Hub client and download the complete release:
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```bash
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pip install -U huggingface_hub
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hf download HKUSTDial/DataSpace \
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release/DataSpace-Benchmark.zip \
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release/DataSpace-Benchmark.zip.sha256 \
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--repo-type dataset \
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--local-dir .
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```
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Verify and extract it:
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| 105 |
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```bash
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cd release
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sha256sum --check DataSpace-Benchmark.zip.sha256
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unzip DataSpace-Benchmark.zip
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```
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For task `task_N`, the agent receives:
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```text
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DataSpace-Benchmark/input/task_N/task.json
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DataSpace-Benchmark/input/task_N/context/
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```
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and should write:
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```text
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predictions/task_N/prediction.csv
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```
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## Loading the task index
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```python
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from datasets import load_dataset
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tasks = load_dataset("HKUSTDial/DataSpace", split="test")
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task = tasks[0]
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print(task["question"])
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print(task["workspace_path"])
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```
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Resolve `workspace_path` relative to the extracted
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`DataSpace-Benchmark/` directory.
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## Evaluation
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| 140 |
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The official evaluator and baseline implementations are maintained in the
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[DataSpace GitHub repository](https://github.com/BugMaker-Boyan/DataSpace).
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Local evaluation is available for the 60 public-reference tasks. Official
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| 144 |
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full-benchmark submissions are scored once over all 410 tasks, and missing
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| 145 |
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predictions count as incorrect. Submission and leaderboard instructions will
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| 146 |
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be published on the benchmark website.
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| 147 |
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## Construction and quality control
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| 149 |
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DataSpace is constructed from EHRSQL and BULL Text-to-SQL source instances.
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| 151 |
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The construction pipeline applies cross-language transformation,
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| 152 |
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constraint-aware data sampling, modality routing and artifact rendering, and
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| 153 |
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human review and data repair. Eleven domain experts cross-reviewed task
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| 154 |
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solvability, question clarity, workspace evidence, reference answers, and
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| 155 |
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evaluation configurations.
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| 156 |
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| 157 |
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## License
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| 158 |
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| 159 |
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DataSpace is released under the MIT License. See [LICENSE](LICENSE).
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| 160 |
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## Citation
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| 162 |
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| 163 |
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```bibtex
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| 164 |
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@misc{dataspace2027,
|
| 165 |
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title = {DataSpace: Benchmarking Data Agents for Verifiable Analytics
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| 166 |
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over Heterogeneous Workspaces},
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| 167 |
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author = {Boyan Li and Zhuowen Liang and Yupeng Xie and Xiaotian Lin and
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| 168 |
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Tianqi Luo and Xinyu Liu and Yizhang Zhu and Zhangyang Peng and
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| 169 |
+
Yuan Li and Zhengxuan Zhang and Jiayi Zhang and Nan Tang and
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| 170 |
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Guoliang Li and Yuyu Luo},
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| 171 |
+
year = {2027},
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| 172 |
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howpublished = {Hugging Face dataset},
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| 173 |
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url = {https://huggingface.co/datasets/HKUSTDial/DataSpace}
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}
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```
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data/public_reference_tasks.json
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{
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"selection_method": "deterministic constrained coverage optimization over benchmark composition, evidence paths, analytical operations, answer shapes, and evaluator behaviors",
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| 3 |
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"task_count": 60,
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| 4 |
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"task_ids": [
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"task_10",
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"task_18",
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"task_23",
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| 8 |
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"task_24",
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| 9 |
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"task_33",
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| 10 |
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"task_35",
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| 11 |
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"task_43",
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| 12 |
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"task_44",
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| 13 |
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"task_48",
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| 14 |
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"task_58",
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| 15 |
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"task_85",
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| 16 |
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"task_86",
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| 17 |
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"task_87",
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| 18 |
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"task_102",
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| 19 |
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"task_103",
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| 20 |
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"task_111",
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| 21 |
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"task_123",
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| 22 |
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"task_127",
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| 23 |
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"task_128",
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| 24 |
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"task_129",
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"task_133",
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| 26 |
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"task_140",
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| 27 |
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"task_159",
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| 28 |
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"task_166",
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"task_168",
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"task_182",
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"task_184",
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| 32 |
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"task_196",
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| 33 |
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"task_199",
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"task_200",
|
| 35 |
+
"task_208",
|
| 36 |
+
"task_215",
|
| 37 |
+
"task_257",
|
| 38 |
+
"task_259",
|
| 39 |
+
"task_263",
|
| 40 |
+
"task_264",
|
| 41 |
+
"task_267",
|
| 42 |
+
"task_269",
|
| 43 |
+
"task_279",
|
| 44 |
+
"task_285",
|
| 45 |
+
"task_298",
|
| 46 |
+
"task_300",
|
| 47 |
+
"task_312",
|
| 48 |
+
"task_322",
|
| 49 |
+
"task_326",
|
| 50 |
+
"task_328",
|
| 51 |
+
"task_329",
|
| 52 |
+
"task_336",
|
| 53 |
+
"task_337",
|
| 54 |
+
"task_361",
|
| 55 |
+
"task_362",
|
| 56 |
+
"task_371",
|
| 57 |
+
"task_378",
|
| 58 |
+
"task_380",
|
| 59 |
+
"task_382",
|
| 60 |
+
"task_389",
|
| 61 |
+
"task_391",
|
| 62 |
+
"task_398",
|
| 63 |
+
"task_402",
|
| 64 |
+
"task_409"
|
| 65 |
+
]
|
| 66 |
+
}
|
data/tasks.jsonl
ADDED
|
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|
|
release/DataSpace-Benchmark.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68f221fafcf0b50396eca55f8298af1ad73d586a6cac6995916afca535a560af
|
| 3 |
+
size 2878651222
|
release/DataSpace-Benchmark.zip.sha256
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
68f221fafcf0b50396eca55f8298af1ad73d586a6cac6995916afca535a560af DataSpace-Benchmark.zip
|