--- license: mit tags: - factprobe-replication - arm-a --- # factprobe-replication-arm-a-llama31-70b-instruct-v1 Arm (a) sanity replication of He et al. arXiv:2503.22362: their code, their Zenodo triples, their prompts (chat template, 36 alias variations, greedy). One row per (pair, direction, alias-variation) with the full generated text. Bucketing/analysis is done downstream (their analyse_experiment.py); OLMo cells reproduce their Tables 2/4 to +/-0.006. ## Dataset Info - **Rows**: 5175168 - **Columns**: 10 ## Columns | Column | Type | Description | |--------|------|-------------| | relation | Value('string') | P26 spouse / P3373 sibling / P190 twinnedTown / P47 bordersWith | | model | Value('string') | *No description provided* | | template_type | Value('string') | *No description provided* | | subject | Value('string') | *No description provided* | | object | Value('string') | *No description provided* | | direction | Value('string') | forward = CSV (s,o) order; backward = reversed | | variation_index | Value('int64') | alias-pair variation index (up to 36 per pair) | | model_response | Value('string') | full generated text for this prompt (untruncated) | | answer_em | Value('bool') | exact match of lowercased/stripped response to yes/true | | answer_in | Value('bool') | substring-containment variant (computed, unused in their analysis) | ## Generation Parameters ```json { "script_name": "refs/FactProbe/probe.py (upstream, verbatim; TP/max_model_len passthrough only)", "model": "llama31-70b-instruct", "description": "Arm (a) sanity replication of He et al. arXiv:2503.22362: their code, their Zenodo triples, their prompts (chat template, 36 alias variations, greedy). One row per (pair, direction, alias-variation) with the full generated text. Bucketing/analysis is done downstream (their analyse_experiment.py); OLMo cells reproduce their Tables 2/4 to +/-0.006.", "hyperparameters": { "temperature": 0.0, "logprobs": 10, "batch_size": 500 }, "input_datasets": [ "Zenodo 10.5281/zenodo.15092789" ], "experiment_name": "factprobe-replication", "job_id": "runpod:fp-llama70b", "cluster": "runpod-personal", "artifact_status": "final", "canary": false } ``` ## Usage ```python from datasets import load_dataset dataset = load_dataset("latkes/factprobe-replication-arm-a-llama31-70b-instruct-v1", split="train") print(f"Loaded {len(dataset)} rows") ``` ---