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.
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- PEFT
How to use anonym-ous/tempgraphrag-artifacts with PEFT:
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- Google Colab
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Temporal-Aware GraphRAG β anonymous data archive
Anonymous double-blind artifact accompanying the EMNLP submission "The Lever Is
the Prompt: Retrieval-Conditioned Prompting in Temporal-Aware GraphRAG." This
is the data + trained-adapter half; the code is in the companion anonymous
repository linked from the paper. See DATASHEET.md for provenance.
No author, affiliation, or identifying information is included. Please do not attempt to de-anonymize.
Contents
adapters/ LoRA adapters (inference-ready: adapter_model.safetensors +
adapter_config.json + tokenizer + chat_template). 14 policies:
sft-v3{,-seed1337,-seed7} Qwen3-8B headline (3 seeds)
sft-llama31{,-seed1337,-seed7} Llama-3.1-8B cross-arch (3 seeds)
sft-mistral{,-seed1337,-seed7} Mistral-7B cross-arch (3 seeds)
sft-multitq{,-seed1337,-seed7} MultiTQ cross-benchmark (3 seeds)
sft-multitq-{llama,mistral} MultiTQ cross-arch
eval/ Per-question predictions + gold for every reported run (74 JSONs):
TempBench 3-seed, 3-hop ablation, empty/shuffled-evidence,
data-scale (1k/2k), full-test LLM-judge runs, MultiTQ, baselines.
benchmark/ benchmark_labelled.jsonl + labels.tsv (the benchmark of [anon-bench],
provided as a read-only input; see PROVENANCE.txt).
sft_data/ Retrieval-conditioned SFT corpora (CoT, terse, MultiTQ).
logs/ Training / evaluation logs (negative-result evidence).
Mapping to the code repository
Place these so the code repo's scripts find them:
adapters/<name>/ -> checkpoints/<name>/final/
eval/*.json -> outputs/eval/
benchmark/* -> outputs/benchmark/
sft_data/*.jsonl -> outputs/
Notes
- Adapters are inference-only (training state / optimizer checkpoints removed).
- Three contaminated judge runs (errored API calls) are excluded; all reported judge-EM numbers come from the clean full-test runs included here.
License
Mixed; the license: other tag reflects this:
- Data (eval outputs, benchmark, SFT corpora): derived from Wikidata (CC0) via TGB 2.0 β permissive.
- LoRA adapters: derivative works of their base models and governed by those licenses β Qwen3-8B (Apache-2.0), Llama-3.1-8B-Instruct (Llama 3.1 Community License), Mistral-7B-Instruct-v0.3 (Apache-2.0). Use of the Llama-based adapters is subject to the Llama 3.1 Community License.
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