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Publish DataSpace inputs and 60 public references

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CITATION.cff ADDED
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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"
LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2026 DataSpace Authors
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+
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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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+
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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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+
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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.
README.md ADDED
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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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+
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+ # DataSpace
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+
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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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+
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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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+
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+ ## Release policy
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+
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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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+
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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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+ evidence-carrier combinations, required modalities, analytical operations,
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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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+
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+ ## Benchmark summary
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+
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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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+
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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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+
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+ ## Repository layout
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+
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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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+
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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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+
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+ ## Download
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+
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+ Install the Hugging Face Hub client and download the complete release:
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+
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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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+
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+ Verify and extract it:
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+
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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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+
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+ For task `task_N`, the agent receives:
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+
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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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+
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+ and should write:
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+
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+ ```text
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+ predictions/task_N/prediction.csv
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+ ```
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+
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+ ## Loading the task index
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+
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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+ Resolve `workspace_path` relative to the extracted
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+ `DataSpace-Benchmark/` directory.
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+
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+ ## Evaluation
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+
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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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+ full-benchmark submissions are scored once over all 410 tasks, and missing
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+ predictions count as incorrect. Submission and leaderboard instructions will
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+ be published on the benchmark website.
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+
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+ ## Construction and quality control
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+
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+ DataSpace is constructed from EHRSQL and BULL Text-to-SQL source instances.
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+ The construction pipeline applies cross-language transformation,
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+ constraint-aware data sampling, modality routing and artifact rendering, and
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+ human review and data repair. Eleven domain experts cross-reviewed task
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+ solvability, question clarity, workspace evidence, reference answers, and
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+ evaluation configurations.
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+
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+ ## License
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+
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+ DataSpace is released under the MIT License. See [LICENSE](LICENSE).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{dataspace2027,
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+ title = {DataSpace: Benchmarking Data Agents for Verifiable Analytics
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+ over Heterogeneous Workspaces},
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+ author = {Boyan Li and Zhuowen Liang and Yupeng Xie and Xiaotian Lin and
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+ Tianqi Luo and Xinyu Liu and Yizhang Zhu and Zhangyang Peng and
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+ Yuan Li and Zhengxuan Zhang and Jiayi Zhang and Nan Tang and
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+ Guoliang Li and Yuyu Luo},
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+ year = {2027},
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+ howpublished = {Hugging Face dataset},
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+ url = {https://huggingface.co/datasets/HKUSTDial/DataSpace}
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+ }
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+ ```
data/public_reference_tasks.json ADDED
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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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+ "task_count": 60,
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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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+ "task_24",
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+ "task_33",
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+ "task_35",
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+ "task_43",
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+ "task_44",
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+ "task_48",
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+ "task_58",
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+ "task_85",
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+ "task_86",
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+ "task_87",
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+ "task_102",
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+ "task_103",
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+ "task_111",
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+ "task_123",
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+ "task_127",
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+ "task_128",
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+ "task_129",
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+ "task_133",
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+ "task_140",
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+ "task_159",
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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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+ "task_196",
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+ "task_199",
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+ "task_200",
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+ "task_208",
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+ "task_215",
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+ "task_257",
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+ "task_259",
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+ "task_263",
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+ "task_264",
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+ "task_267",
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+ "task_269",
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+ "task_279",
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+ "task_285",
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+ "task_298",
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+ "task_300",
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+ "task_312",
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+ "task_322",
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+ "task_326",
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+ "task_328",
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+ "task_329",
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+ "task_336",
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+ "task_337",
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+ "task_361",
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+ "task_362",
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+ "task_371",
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+ "task_378",
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+ "task_380",
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+ "task_382",
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+ "task_389",
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+ "task_391",
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+ "task_398",
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+ "task_402",
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+ "task_409"
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+ ]
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+ }
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