Release FindStatBench Parquet dataset v1.0.0-hf1

ATTRIBUTION.md

@@ -0,0 +1,17 @@
+# Attribution And Notice Of Adaptation
+
+## FindStat
+
+FindStatBench is derived from **FindStat - the combinatorial statistics database**, maintained by Martin Rubey, Christian Stump and the FindStat contributors: https://www.findstat.org/.
+
+Historical project/license reference: Chris Berg, Viviane Pons, Travis Scrimshaw, Jessica Striker and Christian Stump (2014), *FindStat - the combinatorial statistics database*, arXiv:1401.3690v1, https://arxiv.org/abs/1401.3690. Page 2 and footnote 4 identify CC BY-SA 3.0 for database/wiki contributions. See `DATA_RIGHTS.md` for the historical scope qualification.
+
+Source descriptions, mathematical encodings, examples and labels retain their upstream origin. Decoded task records preserve original source IDs, contributor/update metadata, references and source-relative provenance paths. Individual entries can be referenced using their original `St`/`Mp` identifiers at FindStat. Follow the database citation instructions at https://www.findstat.org/Citations/.
+
+## FindStatBench Adaptations
+
+FindStatBench benchmark curation/packaging: **Soham Dan**. Source content was organized into statistic- and map-synthesis tasks, public example and evaluation-instance records, and versioned prompt exports. The historical closed-book prompt transformation removes direct source-identification headers but does not eliminate every cross-reference or source link.
+
+The Hugging Face packaging converts the frozen JSONL records into standard Parquet shards and encodes heterogeneous nested fields as JSON strings. The supplied decoder reconstructs the complete logical records without changing values, types or order. No mathematical task, gold label or historical served prompt was added, removed or corrected during this conversion. The single `test` split contains the complete corpus rather than imposing a training partition.
+
+These adaptations are identified to distinguish FindStatBench from the upstream database. **No FindStat contributor endorsement or sponsorship is implied.** Data adaptations are offered under CC BY-SA 3.0 to the extent of the applicable upstream grant and the maintainer's rights; full terms are in `LICENSE`. Software is separately MIT-licensed in `LICENSE-CODE.txt`.

CITATION.cff

@@ -0,0 +1,10 @@
+cff-version: 1.2.0
+message: "Cite FindStatBench and the upstream FindStat database; record the exact corpus and prompt version."
+title: "FindStatBench: Evaluating Large Language Models on Combinatorial Code Synthesis"
+type: dataset
+authors:
+  - family-names: Dan
+    given-names: Soham
+version: 1.0.0-hf1
+license: CC-BY-SA-3.0
+abstract: "Lossless Hugging Face packaging of the frozen FindStatBench corpus. Data license: CC BY-SA 3.0 following the documented historical FindStat policy; software remains MIT. See DATA_RIGHTS.md for licensing scope and qualifications."

DATA_RIGHTS.md

@@ -0,0 +1,7 @@
+# License and source
+
+FindStatBench data adaptations are distributed under **Creative Commons Attribution-ShareAlike 3.0 Unported** to the extent of the applicable upstream grant. The full text is in [LICENSE](LICENSE). The original decoding utility is separately covered by [MIT](LICENSE-CODE.txt). This repository does not include provider responses or model-generated programs.
+
+The FindStat authors' [2014 project paper](https://arxiv.org/abs/1401.3690), page 2 and footnote 4, identifies CC BY-SA 3.0 Unported for contributions to the database and wiki. This license notice records that published basis; it does not assert a separate grant from contributors or that FindStat endorses this benchmark.
+
+[ATTRIBUTION.md](ATTRIBUTION.md) credits the upstream project and describes the benchmark and Parquet adaptations. The task records retain original entry identifiers and contributor and source metadata. Follow the [FindStat citation guidance](https://www.findstat.org/Citations/) when reusing the data.

LICENSE

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LICENSE-CODE.txt

@@ -0,0 +1,25 @@
+MIT License (original FindStatBench code and new release tooling only)
+
+Copyright (c) 2026 Anonymous FindStatBench Authors (historical code)
+Copyright (c) 2026 Soham Dan (release engineering additions)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+This license does NOT grant rights to upstream FindStat content, model-provider
+outputs, or historical third-party artifacts. See LICENSES/UPSTREAM_STATUS.md.

README.md

@@ -0,0 +1,71 @@
+---
+pretty_name: FindStatBench
+license: cc-by-sa-3.0
+language:
+- en
+task_categories:
+- text-generation
+tags:
+- code-generation
+- mathematics
+- combinatorics
+- benchmark
+size_categories:
+- 1M<n<10M
+configs:
+- config_name: prompts
+  default: true
+  data_files:
+  - split: test
+    path: data/prompts/*.parquet
+- config_name: tasks
+  data_files:
+  - split: test
+    path: data/tasks/*.parquet
+- config_name: hidden
+  data_files:
+  - split: test
+    path: data/hidden/*.parquet
+---
+
+# FindStatBench
+
+FindStatBench evaluates whether a model can turn a mathematical description into a Python function, `solve(obj)`, that computes a statistic or maps one combinatorial object to another. The corpus contains **2,329 tasks** in **24 collections** and **5,517,046 evaluation instances** held out from generation prompts.
+
+This Parquet distribution, version **1.0.0-hf1**, preserves the original task records, closed-book prompts, and evaluation instances without changing their values or order. See the [paper](https://arxiv.org/abs/2607.18260) for the evaluation protocol and the [Zenodo archive](https://doi.org/10.5281/zenodo.20060361) for the historical evaluator and experiment artifacts.
+
+## Configurations
+
+| Configuration | Rows | Contents |
+|---|---:|---|
+| `prompts` (default) | 2,329 | Exact model-facing closed-book prompts and task IDs |
+| `tasks` | 2,329 | Task metadata, public examples, and original source-bearing task prompts |
+| `hidden` | 5,517,046 | Evaluation inputs and reference outputs, withheld from model prompts |
+
+All configurations have a single `test` split. The corpus includes 1,993 statistic tasks (1,929,082 evaluation instances) and 336 map tasks (3,587,964 evaluation instances).
+
+## Loading the data
+
+```python
+from datasets import load_dataset
+
+repo_id = "sdan021/FindStatBench"
+prompts = load_dataset(repo_id, "prompts", split="test")
+evaluation = load_dataset(repo_id, "hidden", split="test", streaming=True)
+```
+
+For the one-shot protocol, send only the `prompt` field from the `prompts` configuration. The `tasks.prompt` field is a source-bearing archival prompt, not the input for closed-book generation. The evaluation labels are publicly downloadable; they must not be used for training, retrieval, feedback, or candidate selection when reporting closed-book scores. Report public-example repair and any other tool use or selection separately.
+
+Nested fields in the task and evaluation tables are encoded as JSON strings in columns ending in `_json`. This preserves strings such as binary words with leading zeros. The MIT-licensed `findstatbench_data.py` helper decodes those fields without changing the records. Record the repository revision for reproducibility. `package_manifest.json` records source and shard checksums and canonical record digests.
+
+## Evaluation and limitations
+
+Use the historical evaluator in the [Zenodo archive](https://doi.org/10.5281/zenodo.20060361) for comparison with the paper. Run untrusted generated programs only in an isolated execution environment. An extracted program can fail to run or be incorrect. Report task accuracy (all cases correct for a task) and instance accuracy (fraction of cases correct) separately.
+
+Some inputs and map targets retain normalized string encodings. Exact scoring can reject mathematically equivalent outputs in other representations. Public source pages, retained cross-references, and downloadable labels mean this benchmark cannot establish that a model has never seen a task. Finite tests are not a proof of correctness, and these results are not a measure of general software engineering.
+
+## Attribution and licensing
+
+FindStatBench is maintained by Soham Dan and derives from [FindStat](https://www.findstat.org/), maintained by Martin Rubey, Christian Stump, and the FindStat contributors. Cite the [FindStatBench paper](https://arxiv.org/abs/2607.18260) and follow the [FindStat citation guidance](https://www.findstat.org/Citations/).
+
+The data adaptations follow the upstream **CC BY-SA 3.0 Unported** policy to the extent of the applicable upstream grant. See [attribution and changes](ATTRIBUTION.md), [data rights](DATA_RIGHTS.md), and the [full license](LICENSE). The original decoding helper is separately [MIT-licensed](LICENSE-CODE.txt). Model-provider outputs and generated programs are not included here.

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+"""Lossless decoding of the standard-Parquet FindStatBench distribution."""
+import json
+from pathlib import Path
+
+JSON_FIELDS = {"prompts": (), "tasks": ("metadata", "public_examples"),
+               "hidden": ("evaluation_input", "gold_output_object", "metadata")}
+
+
+def encode_record(component, record):
+    if component not in JSON_FIELDS:
+        raise ValueError("Unknown component")
+    output = dict(record)
+    for name in JSON_FIELDS[component]:
+        value = output.pop(name)
+        output[name + "_json"] = None if value is None else json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"), allow_nan=False)
+    return output
+
+
+def decode_record(component, record):
+    if component not in JSON_FIELDS:
+        raise ValueError("Unknown component")
+    output = dict(record)
+    for name in JSON_FIELDS[component]:
+        value = output.pop(name + "_json")
+        output[name] = None if value is None else json.loads(value)
+    return output
+
+
+def load_local(folder, component="prompts", streaming=True):
+    from datasets import load_dataset
+    if component not in JSON_FIELDS:
+        raise ValueError("Unknown component")
+    return load_dataset(str(Path(folder).resolve()), name=component, split="test", streaming=streaming, token=False)
+
+
+def iter_decoded(folder, component="hidden"):
+    for record in load_local(folder, component):
+        yield decode_record(component, record)

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+  "checked_on": "2026-10-29",
+  "data_license": "CC-BY-SA-3.0",
+  "huggingface_license_id": "cc-by-sa-3.0",
+  "code_license": "MIT",
+  "license_url": "https://creativecommons.org/licenses/by-sa/3.0/",
+  "legal_text_url": "https://creativecommons.org/licenses/by-sa/3.0/legalcode.txt",
+  "legal_text_sha256": "3f941b3b89cf7b8370ceb83cc76d2120d471b58735d8ca60238a751a48d7f72f",
+  "selection_basis": "Maintainer-selected data license following the historical FindStat project statement; not a newly obtained permission letter.",
+  "source": {
+    "title": "FindStat - the combinatorial statistics database",
+    "authors": ["Chris Berg", "Viviane Pons", "Travis Scrimshaw", "Jessica Striker", "Christian Stump"],
+    "year": 2014,
+    "identifier": "arXiv:1401.3690v1",
+    "url": "https://arxiv.org/pdf/1401.3690",
+    "location": "Page 2, License and technical information, footnote 4",
+    "statement_excerpt": "Contributions to the FindStat project",
+    "license_footnote_excerpt": "Creative Commons Attribution-ShareAlike 3.0 Unported License.",
+    "interpretation": "The project paper identifies database and wiki contributions as licensed under CC BY-SA 3.0."
+  },
+  "current_snapshot_coverage_confirmed": false,
+  "separate_written_permission_received": false,
+  "legal_clearance_certified": false,
+  "qualification": "Historical evidence does not independently establish coverage of every later contribution in the frozen 2026 snapshot; no updated maintainer confirmation is represented."
+}

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+      "schema": {
+        "evaluation_input_json": "string",
+        "gold_output_int": "int64",
+        "gold_output_object_json": "string",
+        "gold_output_raw": "string",
+        "instance_id": "string",
+        "metadata_json": "string",
+        "source_id": "string",
+        "task_id": "string",
+        "task_prompt_ref": "string",
+        "task_type": "string"
+      },
+      "source_sha256": "92cd022e37219c5d4a048993fcbdeb0471289eb26d43d9fa3f9dd57bd4d98035"
+    },
+    "prompts": {
+      "canonical_records_sha256": "20bd09bb6684ab0362f71d30fcc9a3054f6aaed2afe0bcb3795b495e3829ee0e",
+      "files": [
+        {
+          "bytes": 327679,
+          "path": "data/prompts/test-00000-of-00001.parquet",
+          "sha256": "f8c123ac7a68848f6adce7cbff946fb80b366399960407cf32feb32faeaec3e7"
+        }
+      ],
+      "rows": 2329,
+      "schema": {
+        "prompt": "string",
+        "task_id": "string"
+      },
+      "source_sha256": "dc8953ca215954873bb2989711365840b4e3adde87b6a723e3aedaa5fa4282ee"
+    },
+    "tasks": {
+      "canonical_records_sha256": "30c1cf646411fd08b64c5f45039af3bfa4a42745abd5bb6074b4b20226c05b54",
+      "files": [
+        {
+          "bytes": 1169849,
+          "path": "data/tasks/test-00000-of-00001.parquet",
+          "sha256": "a899023d0b67e1677db89079a440a4441a40263a92130b2b0a6c3904a41f7186"
+        }
+      ],
+      "rows": 2329,
+      "schema": {
+        "expected_signature": "string",
+        "heldout_examples_count": "int64",
+        "metadata_json": "string",
+        "prompt": "string",
+        "public_examples_json": "string",
+        "source_id": "string",
+        "task_id": "string",
+        "task_type": "string"
+      },
+      "source_sha256": "73e2df201b3b4e0ba3a31cc1f67892a8404b77b847b2a23603cc8d366fccecb5"
+    }
+  },
+  "corpus_version": "historical-1.0.0",
+  "counts": {
+    "collections": 24,
+    "instances": 5517046,
+    "instances_by_family": {
+      "map": 3587964,
+      "statistic": 1929082
+    },
+    "tasks": 2329,
+    "tasks_by_family": {
+      "map": 336,
+      "statistic": 1993
+    }
+  },
+  "format_version": "hf-standard-parquet-v1",
+  "prepared_on": "2026-10-29",
+  "prompt_version": "historical-closed-book-1.0.0",
+  "data_license": "CC-BY-SA-3.0",
+  "code_license": "MIT",
+  "license_evidence": "metadata/licensing_evidence.json",
+  "representation": "Nested objects/lists are JSON-encoded strings; decode_record restores exact original records. No JSON Arrow extension is required."
+}

requirements.txt

@@ -0,0 +1,2 @@
+datasets==5.1.0
+pyarrow==26.0.0