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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- Google Colab
- Kaggle
| license: other | |
| language: | |
| - en | |
| tags: | |
| - temporal-reasoning | |
| - knowledge-graph | |
| - graphrag | |
| - retrieval-augmented-generation | |
| - lora | |
| - peft | |
| pretty_name: Temporal-Aware GraphRAG artifacts (anonymous) | |
| # Temporal-Aware GraphRAG — 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 — permissive. | |
| - **LoRA adapters**: derivative works of their base models and governed by those | |
| licenses — 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. | |