--- 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: 7227023 num_examples: 297 download_size: 1754231 dataset_size: 7227023 - 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: 6942745 num_examples: 289 download_size: 1718577 dataset_size: 6942745 - 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: 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: 6763469 num_examples: 281 download_size: 1679339 dataset_size: 6763469 - 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: 4359775 num_examples: 297 download_size: 998823 dataset_size: 4359775 - 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: 4123873 num_examples: 286 download_size: 968246 dataset_size: 4123873 - 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: 3945004 num_examples: 273 download_size: 957599 dataset_size: 3945004 - config_name: prior_estimation features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type 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: 1217841 num_examples: 297 download_size: 196437 dataset_size: 1217841 - config_name: prior_most_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type 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: 1107620 num_examples: 286 download_size: 183110 dataset_size: 1107620 - config_name: prior_second_freq features: - name: qid dtype: string - name: task dtype: string - name: domain dtype: string - name: distribution_type 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: 1079988 num_examples: 273 download_size: 181359 dataset_size: 1079988 --- **Text2DistBench** is a 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 estimate statistics such as: stance distribution, topic distribution, and most/second-most frequent labels. The dataset is constructed from movie and music entities released between 2025-12-01 and 2026-03-01. 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: `posterior_sampled_50_estimation`, `posterior_sampled_50_most_freq`, `posterior_sampled_50_second_freq`, `posterior_sampled_100_estimation`, `posterior_sampled_100_most_freq`, `posterior_sampled_100_second_freq` **Prior configurations** contain only metadata without comments: `prior_estimation`, `prior_most_freq`, `prior_second_freq` --- ## 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") ```