{"url":"/dataset/cbt","name":"CBT","full_name":"Children’s Book Test","description_markdown":"Children’s Book Test (CBT) is designed to measure directly how well language models can exploit wider linguistic context. The CBT is built from books that are freely available thanks to Project Gutenberg. \r\n\r\nSource: [CBT](https://research.fb.com/downloads/babi/)\r\nImage Source: [https://research.fb.com/downloads/babi/](https://research.fb.com/downloads/babi/)","description_withheld":null,"homepage":"https://research.fb.com/downloads/babi/","introduced_date":"2015-11-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-goldilocks-principle-reading-childrens","title":"The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations","first_author":"Felix Hill","url":null},"license":{"name":"GNU Free Documentation License","url":"https://www.gnu.org/licenses/fdl-1.3.en.html"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Click-Through Rate Prediction","url":"/task/click-through-rate-prediction","datasets_with_task":"/datasets/task/click-through-rate-prediction"},{"name":"Machine Reading Comprehension","url":"/task/machine-reading-comprehension","datasets_with_task":"/datasets/task/machine-reading-comprehension"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Children's Book Test","Children's Book Test Common noun","CBT"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/cam-cst/cbt","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/cbt","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#children-s-book-test-cbt","frameworks":["pytorch"]}],"num_papers_in_archive":92,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/click-through-rate-prediction-on-childrens","task":"Click-Through Rate Prediction","dataset_variant":"Children's Book Test Common noun","rows":1,"metrics":["AUC","Accuracy"],"first_row_in_archive_order":{"model":"MKR","paper":"/paper/multi-task-feature-learning-for-knowledge","metrics":{"AUC":"0.734","Accuracy":"70.4"},"code_links":[{"title":"hwwang55/KGCN","url":"https://github.com/hwwang55/KGCN"},{"title":"hwwang55/MKR","url":"https://github.com/hwwang55/MKR"},{"title":"hsientzucheng/MKR.PyTorch","url":"https://github.com/hsientzucheng/MKR.PyTorch"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-task-feature-learning-for-knowledge","title":"Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation","date":"2019-01-23","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}