| --- |
| 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: 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: 6766017 |
| num_examples: 281 |
| download_size: 1680004 |
| dataset_size: 6766017 |
| - config_name: posterior_sampled_50_estimation |
| features: [] |
| splits: |
| - name: test |
| num_bytes: 0 |
| num_examples: 0 |
| download_size: 423 |
| dataset_size: 0 |
| - config_name: posterior_sampled_50_most_freq |
| features: [] |
| splits: |
| - name: test |
| num_bytes: 0 |
| num_examples: 0 |
| download_size: 423 |
| dataset_size: 0 |
| - config_name: posterior_sampled_50_second_freq |
| features: [] |
| splits: |
| - name: test |
| num_bytes: 0 |
| num_examples: 0 |
| download_size: 423 |
| dataset_size: 0 |
| - config_name: prior_estimation |
| features: |
| - name: qid |
| dtype: string |
| - name: task |
| dtype: string |
| - name: domain |
| dtype: string |
| - name: distribution_type |
| dtype: string |
| - name: condition |
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| - name: source |
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| - name: answer |
| dtype: string |
| - name: ref_dist |
| dtype: string |
| - name: question |
| dtype: string |
| - name: meta_data |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 1225753 |
| num_examples: 297 |
| download_size: 201283 |
| dataset_size: 1225753 |
| - 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: 1125647 |
| num_examples: 289 |
| download_size: 187242 |
| dataset_size: 1125647 |
| - 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: 1114583 |
| num_examples: 281 |
| download_size: 184748 |
| dataset_size: 1114583 |
| --- |
| |
| ## 📌 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 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 (estimation, most_freq, second_freq). |
| **Format:** `posterior_sampled_<comment_num>_<task>` |
|
|
| ### 🟨 Prior Configurations |
| Include **only metadata (no comments)**. |
| **Format:** `prior_<task>` |
|
|
|
|
| --- |
|
|
| ## ⚙️ 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") |
| ``` |
