albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
831b6f8
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - expert-generated | |
| language: | |
| - en | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: Compositional Freebase Questions | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - question-answering | |
| - other | |
| task_ids: | |
| - open-domain-qa | |
| - closed-domain-qa | |
| paperswithcode_id: cfq | |
| tags: | |
| - compositionality | |
| dataset_info: | |
| - config_name: mcd1 | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 37408806 | |
| num_examples: 95743 | |
| - name: test | |
| num_bytes: 5446503 | |
| num_examples: 11968 | |
| download_size: 267599061 | |
| dataset_size: 42855309 | |
| - config_name: mcd2 | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 39424657 | |
| num_examples: 95743 | |
| - name: test | |
| num_bytes: 5314019 | |
| num_examples: 11968 | |
| download_size: 267599061 | |
| dataset_size: 44738676 | |
| - config_name: mcd3 | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 38316345 | |
| num_examples: 95743 | |
| - name: test | |
| num_bytes: 5244503 | |
| num_examples: 11968 | |
| download_size: 267599061 | |
| dataset_size: 43560848 | |
| - config_name: question_complexity_split | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 39989433 | |
| num_examples: 98999 | |
| - name: test | |
| num_bytes: 5781561 | |
| num_examples: 10340 | |
| download_size: 267599061 | |
| dataset_size: 45770994 | |
| - config_name: question_pattern_split | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 41217350 | |
| num_examples: 95654 | |
| - name: test | |
| num_bytes: 5179936 | |
| num_examples: 11909 | |
| download_size: 267599061 | |
| dataset_size: 46397286 | |
| - config_name: query_complexity_split | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 40270175 | |
| num_examples: 100654 | |
| - name: test | |
| num_bytes: 5634924 | |
| num_examples: 9512 | |
| download_size: 267599061 | |
| dataset_size: 45905099 | |
| - config_name: query_pattern_split | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 40811284 | |
| num_examples: 94600 | |
| - name: test | |
| num_bytes: 5268358 | |
| num_examples: 12589 | |
| download_size: 267599061 | |
| dataset_size: 46079642 | |
| - config_name: random_split | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: query | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 41279218 | |
| num_examples: 95744 | |
| - name: test | |
| num_bytes: 5164923 | |
| num_examples: 11967 | |
| download_size: 267599061 | |
| dataset_size: 46444141 | |
| # Dataset Card for "cfq" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [https://github.com/google-research/google-research/tree/master/cfq](https://github.com/google-research/google-research/tree/master/cfq) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** https://arxiv.org/abs/1912.09713 | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 2.14 GB | |
| - **Size of the generated dataset:** 362.07 MB | |
| - **Total amount of disk used:** 2.50 GB | |
| ### Dataset Summary | |
| The Compositional Freebase Questions (CFQ) is a dataset that is specifically designed to measure compositional | |
| generalization. CFQ is a simple yet realistic, large dataset of natural language questions and answers that also | |
| provides for each question a corresponding SPARQL query against the Freebase knowledge base. This means that CFQ can | |
| also be used for semantic parsing. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| English (`en`). | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### mcd1 | |
| - **Size of downloaded dataset files:** 267.60 MB | |
| - **Size of the generated dataset:** 42.90 MB | |
| - **Total amount of disk used:** 310.49 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| 'query': 'SELECT count(*) WHERE {\n?x0 a ns:people.person .\n?x0 ns:influence.influence_node.influenced M1 .\n?x0 ns:influence.influence_node.influenced M2 .\n?x0 ns:people.person.spouse_s/ns:people.marriage.spouse|ns:fictional_universe.fictional_character.married_to/ns:fictional_universe.marriage_of_fictional_characters.spouses ?x1 .\n?x1 a ns:film.cinematographer .\nFILTER ( ?x0 != ?x1 )\n}', | |
| 'question': 'Did a person marry a cinematographer , influence M1 , and influence M2' | |
| } | |
| ``` | |
| #### mcd2 | |
| - **Size of downloaded dataset files:** 267.60 MB | |
| - **Size of the generated dataset:** 44.77 MB | |
| - **Total amount of disk used:** 312.38 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| 'query': 'SELECT count(*) WHERE {\n?x0 ns:people.person.parents|ns:fictional_universe.fictional_character.parents|ns:organization.organization.parent/ns:organization.organization_relationship.parent ?x1 .\n?x1 a ns:people.person .\nM1 ns:business.employer.employees/ns:business.employment_tenure.person ?x0 .\nM1 ns:business.employer.employees/ns:business.employment_tenure.person M2 .\nM1 ns:business.employer.employees/ns:business.employment_tenure.person M3 .\nM1 ns:business.employer.employees/ns:business.employment_tenure.person M4 .\nM5 ns:business.employer.employees/ns:business.employment_tenure.person ?x0 .\nM5 ns:business.employer.employees/ns:business.employment_tenure.person M2 .\nM5 ns:business.employer.employees/ns:business.employment_tenure.person M3 .\nM5 ns:business.employer.employees/ns:business.employment_tenure.person M4\n}', | |
| 'question': "Did M1 and M5 employ M2 , M3 , and M4 and employ a person 's child" | |
| } | |
| ``` | |
| #### mcd3 | |
| - **Size of downloaded dataset files:** 267.60 MB | |
| - **Size of the generated dataset:** 43.60 MB | |
| - **Total amount of disk used:** 311.20 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "query": "SELECT /producer M0 . /director M0 . ", | |
| "question": "Who produced and directed M0?" | |
| } | |
| ``` | |
| #### query_complexity_split | |
| - **Size of downloaded dataset files:** 267.60 MB | |
| - **Size of the generated dataset:** 45.95 MB | |
| - **Total amount of disk used:** 313.55 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "query": "SELECT /producer M0 . /director M0 . ", | |
| "question": "Who produced and directed M0?" | |
| } | |
| ``` | |
| #### query_pattern_split | |
| - **Size of downloaded dataset files:** 267.60 MB | |
| - **Size of the generated dataset:** 46.12 MB | |
| - **Total amount of disk used:** 313.72 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| { | |
| "query": "SELECT /producer M0 . /director M0 . ", | |
| "question": "Who produced and directed M0?" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits and configurations: | |
| - `question`: a `string` feature. | |
| - `query`: a `string` feature. | |
| ### Data Splits | |
| | name | train | test | | |
| |---------------------------|-------:|------:| | |
| | mcd1 | 95743 | 11968 | | |
| | mcd2 | 95743 | 11968 | | |
| | mcd3 | 95743 | 11968 | | |
| | query_complexity_split | 100654 | 9512 | | |
| | query_pattern_split | 94600 | 12589 | | |
| | question_complexity_split | 98999 | 10340 | | |
| | question_pattern_split | 95654 | 11909 | | |
| | random_split | 95744 | 11967 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the annotators? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Discussion of Biases | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @inproceedings{Keysers2020, | |
| title={Measuring Compositional Generalization: A Comprehensive Method on | |
| Realistic Data}, | |
| author={Daniel Keysers and Nathanael Sch"{a}rli and Nathan Scales and | |
| Hylke Buisman and Daniel Furrer and Sergii Kashubin and | |
| Nikola Momchev and Danila Sinopalnikov and Lukasz Stafiniak and | |
| Tibor Tihon and Dmitry Tsarkov and Xiao Wang and Marc van Zee and | |
| Olivier Bousquet}, | |
| booktitle={ICLR}, | |
| year={2020}, | |
| url={https://arxiv.org/abs/1912.09713.pdf}, | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@brainshawn](https://github.com/brainshawn) for adding this dataset. |