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01syrgkanislab /CausalReasoningBenchmark Automated Causal Reasoning Benchmark Overview The Automated Causal Reasoning Benchmark is a collection of real-world causal inference tasks drawn from 73 peer-reviewed research papers and three textbook-style collections (see CausalBenchmark.pdf). The benchmark contains 174 queries over 139 datasets. Each task is designed to evaluate both (i) identification, i.e., selecting an appropriate causal estimand and identification strategy given the study context, and… See the full description on the dataset page: https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark.tabularquestion-answeringn<1K6 likes497 downloads3h agoHugging Face02causalverify /causalverify-neurips2026 🎯 CausalVerify An Execution-Grounded Benchmark for LLM Causal Inference Workflows NeurIPS 2026 — Evaluations and Datasets Track · double-blind review · frozen at tag neurips2026-submission 💡 TL;DR A benchmark of 259 published economics papers (Experiment A — real-paper text-agreement diagnostic) and 100 fixed-seed synthetic data-generating processes (Experiment B — execution-grounded coefficient recovery), evaluating 7 frontier LLMs. The central… See the full description on the dataset page: https://huggingface.co/datasets/causalverify/causalverify-neurips2026.tabulartabular-regressionn<1K0 likes130 downloads5mo agoHugging Face03anonsubmission16 /CausalReasoningBenchmark Automated Causal Reasoning Benchmark Anonymized benchmark release. Author, affiliation, and prior-whitepaper material have been removed. Overview The Automated Causal Reasoning Benchmark is a collection of real-world causal inference tasks drawn from 73 peer-reviewed research papers and three textbook-style collections. The benchmark contains 174 queries over 139 datasets. Each task is designed to evaluate both (i) identification, i.e., selecting an appropriate… See the full description on the dataset page: https://huggingface.co/datasets/anonsubmission16/CausalReasoningBenchmark.tabularquestion-answeringn<1K0 likes40 downloads3h agoHugging Face04jonhanke-nam /nam-causal-head-gating NAM Causal Head Gating Datasets Datasets for the nam-causal-head-gating Python package. Paper: Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers (NeurIPS 2025) Authors: Andrew Nam, Henry Conklin, Yukang Yang, Thomas Griffiths, Jonathan Cohen, Sarah-Jane Leslie Datasets aba_abb Pattern recognition dataset for testing induction heads in transformer models. Format: TSV (tab-separated values) Columns: prompt, target… See the full description on the dataset page: https://huggingface.co/datasets/jonhanke-nam/nam-causal-head-gating.texttext-generation100K<n<1M0 likes12 downloads10mo agoHugging Face05ClarusC64 /clinical_causal_blindspot_probe_v0.1Clinical Causal Blindspot Probe Detect when a clinician locks onto one cause and ignores alternative causal drivers. Output JSON blindspot blindspot_type correct_action Run scoringpython scorer.py --predictions predictions.jsonl --test_csv data/test.csv texttext-classificationn<1K0 likes12 downloads8mo agoHugging Face

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