| --- |
| license: apache-2.0 |
| task_categories: |
| - question-answering |
| tags: |
| - xbridge |
| - llama |
| - eval-cache |
| --- |
| |
| # XBridge Evaluation Caches (Llama-3.1-8B sender) |
|
|
| Precomputed evaluation caches for the [XBridge](https://github.com/WooseongYang/XBridge) repo. |
| Each file stores, for a fixed set of eval items per task, the sender's |
| (Llama-3.1-8B-Instruct) last-layer hidden states `H_S` and attention-sorted |
| context token IDs — the inputs the Latent Enrichment Bridge (LEB) module |
| queries at inference time. This is a cache of a Llama forward pass, not a |
| copy of the underlying QA datasets themselves. |
|
|
| | File | Task | Source dataset | Eval items | |
| |---|---|---|---| |
| | `countries_task_split.pt` | countries | local (`dataloader/data/countries.jsonl`) | 100 | |
| | `tipsheets_task_split.pt` | tipsheets | local (`dataloader/data/tipsheets.jsonl`) | 200 | |
| | `twowikimqa_task_split.pt` | twowikimqa | `Xnhyacinth/LongBench` (`2wikimqa`, test) | 100 | |
| | `multifieldqa_en_task_split.pt` | multifieldqa_en | `Xnhyacinth/LongBench` (`multifieldqa_en`, test) | 75 | |
| | `hotpotqa_attnselect.pt` | hotpotqa | `hotpot_qa` (`distractor`, train, seed=42 shuffle, first 200) | 200 | |
|
|
| ## Usage |
|
|
| Download into `precomputed/` at the repo root: |
| ```bash |
| huggingface-cli download wyangw/xbridge-eval-cache --repo-type dataset --local-dir precomputed |
| ``` |
|
|
| Then run Option A from the [repo README](https://github.com/WooseongYang/XBridge#reproduction). |
|
|
| ## Regenerating from scratch |
|
|
| Each file can also be rebuilt from public sources using the scripts in the repo |
| (`scripts/precompute_task_split.py`, `scripts/precompute_tipsheets_split.py`, |
| `scripts/precompute_hotpotqa_eval.py`) — requires `meta-llama/Llama-3.1-8B-Instruct` |
| access (gated on HF) and a GPU. See the repo README for exact commands. |
|
|
