--- license: cc-by-4.0 configs: - config_name: posterior_sampled_100_estimation data_files: - split: test path: posterior_sampled_100_estimation/test-* - config_name: posterior_sampled_100_most_freq data_files: - split: test path: posterior_sampled_100_most_freq/test-* - config_name: posterior_sampled_100_second_freq data_files: - split: test path: posterior_sampled_100_second_freq/test-* - config_name: posterior_sampled_50_estimation data_files: - split: test path: posterior_sampled_50_estimation/test-* - config_name: posterior_sampled_50_most_freq data_files: - split: test path: posterior_sampled_50_most_freq/test-* - config_name: posterior_sampled_50_second_freq data_files: - split: test path: posterior_sampled_50_second_freq/test-* - config_name: prior_estimation data_files: - split: test path: prior_estimation/test-* - config_name: prior_most_freq data_files: - split: test path: prior_most_freq/test-* - config_name: prior_second_freq data_files: - split: test path: prior_second_freq/test-* dataset_info: - config_name: posterior_sampled_100_estimation features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 8231382 num_examples: 324 download_size: 1932613 dataset_size: 8231382 - config_name: posterior_sampled_100_most_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 8072412 num_examples: 320 download_size: 1905166 dataset_size: 8072412 - config_name: posterior_sampled_100_second_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 8005961 num_examples: 317 download_size: 1926447 dataset_size: 8005961 - config_name: posterior_sampled_50_estimation features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 5278674 num_examples: 324 download_size: 1158909 dataset_size: 5278674 - config_name: posterior_sampled_50_most_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 5046088 num_examples: 315 download_size: 1154778 dataset_size: 5046088 - config_name: posterior_sampled_50_second_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string - name: comments dtype: string splits: - name: test num_bytes: 5004501 num_examples: 312 download_size: 1148719 dataset_size: 5004501 - config_name: prior_estimation features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string splits: - name: test num_bytes: 1618866 num_examples: 324 download_size: 276509 dataset_size: 1618866 - config_name: prior_most_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string splits: - name: test num_bytes: 1510402 num_examples: 316 download_size: 265880 dataset_size: 1510402 - config_name: prior_second_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type dtype: string - name: condition dtype: string - name: source dtype: string - name: answer dtype: string - name: ref_dist dtype: string - name: question dtype: string - name: meta_data dtype: string splits: - name: test num_bytes: 1508040 num_examples: 312 download_size: 263521 dataset_size: 1508040 --- ## 📌 Overview **Text2DistBench** is a reading comprehension benchmark for evaluating whether large language models can infer distributional knowledge from natural language evidence. Given metadata and a set of user comments about an entity (e.g., a movie or song), models must infer statistics such as: stance/topic distribution, and most/second- frequent labels. --- ## ⚙️ Configurations The dataset is constructed from movie and music entities released between 2026-01-01 and 2026-04-01. It includes two types of configurations: ### 🟦 Posterior Configurations Include both metadata and user comments as evidence. These configurations differ by sample size (50 or 100 comments) and task type (estimation, most_freq, second_freq). **Format:** `posterior_sampled__` ### 🟨 Prior Configurations Include **only metadata (no comments)**. **Format:** `prior_` --- ## ⚙️ Dataset Format Each benchmark instance corresponds to a distributional reading comprehension question. ``` { "qid": < question id >, "qtype": < distribution type >, "answer": < answer (mode label or distribution depending on task) >, "ref_dist": < Ground-truth distribution over labels >, "question": < Full prompt shown to model (instruction + evidence + query) >, "source": "< entity name >", "meta_data": "< text evidence >", "comments": "< text evidence (if posterior)>", "condition": "< conditioning variable for P(s|t), P(t|s) >", } ``` --- ## ⚙️ Load the Dataset ```bash from datasets import load_dataset ds = load_dataset("frett/Text2DistBench", "posterior_sampled_50_estimation", split="test") ds = load_dataset("frett/Text2DistBench", "prior_most_freq", split="test") ```