albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
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| language: | |
| - en | |
| paperswithcode_id: doqa | |
| pretty_name: DoQA | |
| dataset_info: | |
| - config_name: cooking | |
| features: | |
| - name: title | |
| dtype: string | |
| - name: background | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: id | |
| dtype: string | |
| - name: answers | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| - name: followup | |
| dtype: string | |
| - name: yesno | |
| dtype: string | |
| - name: orig_answer | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| splits: | |
| - name: test | |
| num_bytes: 2969064 | |
| num_examples: 1797 | |
| - name: validation | |
| num_bytes: 1461613 | |
| num_examples: 911 | |
| - name: train | |
| num_bytes: 6881681 | |
| num_examples: 4612 | |
| download_size: 4197671 | |
| dataset_size: 11312358 | |
| - config_name: movies | |
| features: | |
| - name: title | |
| dtype: string | |
| - name: background | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: id | |
| dtype: string | |
| - name: answers | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| - name: followup | |
| dtype: string | |
| - name: yesno | |
| dtype: string | |
| - name: orig_answer | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| splits: | |
| - name: test | |
| num_bytes: 3166075 | |
| num_examples: 1884 | |
| download_size: 4197671 | |
| dataset_size: 3166075 | |
| - config_name: travel | |
| features: | |
| - name: title | |
| dtype: string | |
| - name: background | |
| dtype: string | |
| - name: context | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: id | |
| dtype: string | |
| - name: answers | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| - name: followup | |
| dtype: string | |
| - name: yesno | |
| dtype: string | |
| - name: orig_answer | |
| sequence: | |
| - name: text | |
| dtype: string | |
| - name: answer_start | |
| dtype: int32 | |
| splits: | |
| - name: test | |
| num_bytes: 3216374 | |
| num_examples: 1713 | |
| download_size: 4197671 | |
| dataset_size: 3216374 | |
| # Dataset Card for "doqa" | |
| ## 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/RevanthRameshkumar/CRD3](https://github.com/RevanthRameshkumar/CRD3) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **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:** 12.59 MB | |
| - **Size of the generated dataset:** 17.70 MB | |
| - **Total amount of disk used:** 30.28 MB | |
| ### Dataset Summary | |
| DoQA is a dataset for accessing Domain Specific FAQs via conversational QA that contains 2,437 information-seeking question/answer dialogues | |
| (10,917 questions in total) on three different domains: cooking, travel and movies. Note that we include in the generic concept of FAQs also | |
| Community Question Answering sites, as well as corporate information in intranets which is maintained in textual form similar to FAQs, often | |
| referred to as internal “knowledge bases”. | |
| These dialogues are created by crowd workers that play the following two roles: the user who asks questions about a given topic posted in Stack | |
| Exchange (https://stackexchange.com/), and the domain expert who replies to the questions by selecting a short span of text from the long textual | |
| reply in the original post. The expert can rephrase the selected span, in order to make it look more natural. The dataset covers unanswerable | |
| questions and some relevant dialogue acts. | |
| DoQA enables the development and evaluation of conversational QA systems that help users access the knowledge buried in domain specific FAQs. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### cooking | |
| - **Size of downloaded dataset files:** 4.19 MB | |
| - **Size of the generated dataset:** 11.31 MB | |
| - **Total amount of disk used:** 15.51 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "answers": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", | |
| "context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", | |
| "followup": "n", | |
| "id": "C_64ce44d5f14347f488eb04b50387f022_q#2", | |
| "orig_answer": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "question": "Ok. What can I add to make it more softer and avoid hardening?", | |
| "title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", | |
| "yesno": "x" | |
| } | |
| ``` | |
| #### movies | |
| - **Size of downloaded dataset files:** 4.19 MB | |
| - **Size of the generated dataset:** 3.17 MB | |
| - **Total amount of disk used:** 7.36 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "answers": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", | |
| "context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", | |
| "followup": "n", | |
| "id": "C_64ce44d5f14347f488eb04b50387f022_q#2", | |
| "orig_answer": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "question": "Ok. What can I add to make it more softer and avoid hardening?", | |
| "title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", | |
| "yesno": "x" | |
| } | |
| ``` | |
| #### travel | |
| - **Size of downloaded dataset files:** 4.19 MB | |
| - **Size of the generated dataset:** 3.22 MB | |
| - **Total amount of disk used:** 7.41 MB | |
| An example of 'test' looks as follows. | |
| ``` | |
| This example was too long and was cropped: | |
| { | |
| "answers": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", | |
| "context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", | |
| "followup": "n", | |
| "id": "C_64ce44d5f14347f488eb04b50387f022_q#2", | |
| "orig_answer": { | |
| "answer_start": [852], | |
| "text": ["CANNOTANSWER"] | |
| }, | |
| "question": "Ok. What can I add to make it more softer and avoid hardening?", | |
| "title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", | |
| "yesno": "x" | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### cooking | |
| - `title`: a `string` feature. | |
| - `background`: a `string` feature. | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `id`: a `string` feature. | |
| - `answers`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| - `followup`: a `string` feature. | |
| - `yesno`: a `string` feature. | |
| - `orig_answer`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| #### movies | |
| - `title`: a `string` feature. | |
| - `background`: a `string` feature. | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `id`: a `string` feature. | |
| - `answers`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| - `followup`: a `string` feature. | |
| - `yesno`: a `string` feature. | |
| - `orig_answer`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| #### travel | |
| - `title`: a `string` feature. | |
| - `background`: a `string` feature. | |
| - `context`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `id`: a `string` feature. | |
| - `answers`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| - `followup`: a `string` feature. | |
| - `yesno`: a `string` feature. | |
| - `orig_answer`: a dictionary feature containing: | |
| - `text`: a `string` feature. | |
| - `answer_start`: a `int32` feature. | |
| ### Data Splits | |
| #### cooking | |
| | |train|validation|test| | |
| |-------|----:|---------:|---:| | |
| |cooking| 4612| 911|1797| | |
| #### movies | |
| | |test| | |
| |------|---:| | |
| |movies|1884| | |
| #### travel | |
| | |test| | |
| |------|---:| | |
| |travel|1713| | |
| ## 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 | |
| ``` | |
| @misc{campos2020doqa, | |
| title={DoQA -- Accessing Domain-Specific FAQs via Conversational QA}, | |
| author={Jon Ander Campos and Arantxa Otegi and Aitor Soroa and Jan Deriu and Mark Cieliebak and Eneko Agirre}, | |
| year={2020}, | |
| eprint={2005.01328}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset. |