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Add RegConflict benchmark splits and dataset card

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README.md ADDED
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+ ---
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+ license: mit
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+ language:
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+ - en
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+ pretty_name: RegConflict
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+ size_categories:
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+ - n<1K
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - legal
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+ - regulatory
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+ - compliance
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+ - conflict-detection
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+ - cross-jurisdictional
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+ - finance
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/conflicts/train.jsonl
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+ - split: validation
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+ path: data/conflicts/val.jsonl
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+ - split: test
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+ path: data/conflicts/test.jsonl
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+ - config_name: gold_iaa
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+ data_files:
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+ - split: gold_iaa
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+ path: data/conflicts/gold_iaa.jsonl
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+ ---
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+
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+ # RegConflict
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+
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+ **A cross-jurisdictional benchmark for regulatory conflict detection.**
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+
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+ RegConflict is an expert-annotated benchmark for detecting conflicts between
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+ regulatory regimes from different jurisdictions in financial regulation. It
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+ pairs a four-class typology of conflict kinds with labelled regime pairs, each
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+ grounded in verbatim evidence passages drawn from a curated multi-jurisdictional
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+ regulatory corpus.
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+
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+ - **Source code, corpus, and reproducible baselines:** https://github.com/rafsunsheikh/RegConflict
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+ - **Archived release (DOI):** [10.5281/zenodo.21007776](https://doi.org/10.5281/zenodo.21007776)
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+
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+ This HuggingFace repository is the **dataset mirror** — the labelled regime
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+ pairs with their embedded evidence passages. The full document corpus and
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+ baselines live in the GitHub repository and the Zenodo deposit.
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+
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+ ## The task
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+
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+ Given two regulatory regimes (each represented by evidence passages drawn from
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+ official source documents), predict whether they **conflict** or **do not
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+ conflict**, and — for conflicts — which kind of conflict applies under a
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+ four-class typology distinguished by the resolution mechanism (or its absence)
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+ available to an entity facing both regimes:
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+
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+ - `structural_unresolved` — no compliant path exists under the rules as written.
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+ - `operationally_resolvable` — a compliant path exists but requires deliberate operational structuring.
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+ - `interpretive_fact_sensitive` — whether a conflict exists turns on facts or interpretation.
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+ - `recurring_friction` — an ongoing economic/operational friction with no clean one-time fix.
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+
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+ ## Splits
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+
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+ | Split | Records | Conflict | Non-conflict |
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+ |-------|--------:|---------:|-------------:|
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+ | `train` | 497 | 65 | 432 |
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+ | `validation` | 107 | 14 | 93 |
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+ | `test` | 107 | 14 | 93 |
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+ | `gold_iaa` | 30 | 25 | 5 |
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+
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+ `gold_iaa` is a separately-held gold inter-annotator-agreement subset of conflict
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+ cases, blind-reviewed to measure agreement on the four-class typology task
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+ (Cohen's κ = 0.6 — substantial agreement per Landis–Koch). It carries an
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+ additional `blind_review` field.
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+
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+ ## Usage
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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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+ # Main benchmark: train / validation / test
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+ ds = load_dataset("rafsunsheikh/RegConflict")
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+ print(ds)
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+ print(ds["test"][0]["label"])
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+
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+ # Gold inter-annotator-agreement subset (separate config, richer schema)
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+ gold = load_dataset("rafsunsheikh/RegConflict", "gold_iaa")
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+ print(gold["gold_iaa"][0]["blind_review"])
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+ ```
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+
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+ > The `gold_iaa` subset is exposed as a **separate config** rather than a fourth
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+ > split of `default`, because it carries an extra `blind_review` field whose
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+ > schema differs from the main splits.
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+
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+ ## Record schema
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+
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+ Each record is one regime pair. Key fields (some are present only for one label):
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+
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+ | Field | Type | Notes |
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+ |-------|------|-------|
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+ | `pair_id` | string | Stable identifier, prefixed `conflict:` / `non_conflict:`. |
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+ | `label` | string | `conflict` or `non_conflict`. |
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+ | `record_type` | string | Same as `label`. |
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+ | `regime_a`, `regime_b` | struct | `regime_id`, `jurisdiction`, `issuing_body`, `short_name`. |
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+ | `evidence_a`, `evidence_b` | list&lt;struct&gt; | Evidence passages: `chunk_id`, `source_doc`, `page`, `passage`. |
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+ | `conflict_type` | string\|null | One of the four classes (conflict records only). |
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+ | `severity` | string\|null | `low` / `medium` / `high` (conflict records only). |
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+ | `rationale` | string | Free-text justification of the label. |
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+ | `compliant_paths` | list&lt;string&gt; | Resolution options (conflict records). |
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+ | `out_of_scope_assumptions` | list&lt;string&gt; | Scoping assumptions (conflict records). |
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+ | `non_conflict_subtype` | string\|null | e.g. `different_domains`, `aligned_complementary` (non-conflict records). |
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+ | `would_conflict_if` | list&lt;string&gt; | Counterfactual conditions (non-conflict records). |
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+ | `confidence` | float | Annotator confidence. |
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+ | `annotator_id`, `annotated_at`, `revision`, `review_status` | — | Provenance. |
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+ | `blind_review` | struct | Blind second-pass review (`gold_iaa` split only). |
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+
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+ ## Jurisdictions and sources
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+
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+ Pairs are drawn from six jurisdictional sources — Australia, the European Union,
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+ Singapore, FATF, BIS, and IOSCO — spanning bodies such as APRA, OAIC, AUSTRAC,
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+ ASIC, the Australian Treasury, EUR-Lex (GDPR, MiCA, AMLA, AMLR/TFR, DORA, …),
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+ ESMA/EBA, the Singapore SSO and MAS, the Basel Committee, and IOSCO.
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+
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+ ## Licensing
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+
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+ - **Labels, annotations, and this dataset structure:** MIT (see the GitHub repository's `LICENSE`).
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+ - **Embedded evidence passages** are short verbatim quotations from official
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+ regulatory documents, included under academic-quotation terms. The full source
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+ corpus uses a **three-tier** license scheme (Tier 1 redistributable, Tier 2
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+ academic-use, Tier 3 metadata-only); see
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+ [`LICENSES/SOURCE_DOCUMENT_LICENSES.md`](https://github.com/rafsunsheikh/RegConflict/blob/main/LICENSES/SOURCE_DOCUMENT_LICENSES.md)
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+ in the GitHub repository for verbatim per-source clauses.
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+
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+ ## Citation
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+
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+ Please cite the dataset deposit; see
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+ [`CITATION.cff`](https://github.com/rafsunsheikh/RegConflict/blob/main/CITATION.cff)
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+ for the canonical entry.
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+
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+ ```bibtex
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+ @dataset{regconflict,
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+ title = {RegConflict: A Cross-Jurisdictional Benchmark for Regulatory Conflict Detection},
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+ author = {Sheikh, MD Rafsun},
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+ year = {2027},
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+ publisher = {Zenodo},
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+ doi = {10.5281/zenodo.21007776},
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+ url = {https://doi.org/10.5281/zenodo.21007776}
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+ }
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+ ```
data/conflicts/gold_iaa.jsonl ADDED
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data/conflicts/train.jsonl ADDED
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data/conflicts/val.jsonl ADDED
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