# Datasheet — data accompanying the TempGraphRAG methods paper

Anonymous double-blind artifact. Covers the data shipped to reproduce the methods
paper. The benchmark itself is described in concurrent anonymous work
(`anon-bench`); here it is a read-only input.

## Provenance
- **Source KG:** `tkgl-smallpedia` from TGB 2.0, derived from **Wikidata**
  (public, **CC0**). 550,376 timestamped edges, 47,433 entities, 283 relations,
  span 1900–2024.
- **Benchmark questions** (`benchmark_labelled.jsonl`): 8,710 multi-hop
  temporal-KGQA questions, each with a gold supporting subgraph ($S^{*}$),
  same-$(s,r)$ distractors ($S_{\mathrm{dist}}$), and stale-fact set
  ($S_{\mathrm{stale}}$), stratified over a 4×3 operator × complexity matrix.
  70/10/20 train/dev/test split (6,096 / 871 / 1,743). Generated from a
  TimelineKGQA-derived pipeline (see `anon-bench`).
- **SFT corpora** (`sft_data_5k_cot.jsonl`, `*_terse_lever.jsonl`,
  `*_multitq_5k.jsonl`): retrieval-conditioned traces derived from the training
  split; used to fine-tune the generator.
- **Evaluation outputs** (`outputs/eval/*.json`): per-question prediction + gold
  for every reported run (3-seed headline, ablations, judge runs, MultiTQ).

## Composition / splits
Test results in the paper are on the 1,743-question test split. The train/test
splits share the source KG; the paper measures and reports contamination (0.40%
verbatim-question overlap, 5.1% anchor overlap) and treats absolute TempBench EM
as an in-distribution upper bound, with MultiTQ as the cross-distribution check.

## Intended use
Research reproduction of retrieval-augmented temporal multi-hop KGQA. Not
intended as a production correctness oracle. The triple-level grounding metric
(appendix) is a population-level diagnostic, not a per-instance guarantee.

## Personal / sensitive data
Questions concern historical and public-figure facts as exposed by Wikidata; no
personal data beyond Wikidata's public content. No human-subject data in this
archive. (Human inter-annotator validation is reported with `anon-bench`, not
here.)

## License
CC0-derived (Wikidata) via TGB 2.0; redistribution under permissive terms
consistent with TGB 2.0. Trained LoRA adapters are released for research use.