PEFT
Safetensors
English
temporal-reasoning
knowledge-graph
graphrag
retrieval-augmented-generation
lora
Instructions to use anonym-ous/tempgraphrag-artifacts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anonym-ous/tempgraphrag-artifacts with PEFT:
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- Notebooks
- Google Colab
- Kaggle
| # 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. | |