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README.md

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+---
+license: cc-by-sa-4.0
+pretty_name: TweetQA for question generation
+language: en
+multilinguality: monolingual
+size_categories: 10K<n<100K
+source_datasets: tweet_qa
+task_categories:
+- text-generation
+task_ids:
+- language-modeling
+tags:
+- question-generation
+---
+
+# Dataset Card for "lmqg/qag_tweetqa"
+
+
+## Dataset Description
+- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
+- **Paper:** [TBA](TBA)
+- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
+
+### Dataset Summary
+This is the question & answer generation dataset based on the [tweet_qa](https://huggingface.co/datasets/tweet_qa). The test set of the original data is not publicly released, so we randomly sampled test questions from the training set.
+
+### Supported Tasks and Leaderboards
+* `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
+  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
+
+### Languages
+English (en)
+
+## Dataset Structure
+An example of 'train' looks as follows.
+```
+{
+  "paragraph": "I would hope that Phylicia Rashad would apologize now that @missjillscott has! You cannot discount 30 victims who come with similar stories.— JDWhitner (@JDWhitner) July 7, 2015",
+  "questions": [ "what should phylicia rashad do now?", "how many victims have come forward?" ],
+  "answers": [ "apologize", "30" ],
+  "questions_answers": "Q: what should phylicia rashad do now?, A: apologize Q: how many victims have come forward?, A: 30"
+}
+```
+The data fields are the same among all splits.
+- `questions`: a `list` of `string` features. 
+- `answers`: a `list` of `string` features.
+- `paragraph`: a `string` feature.
+- `questions_answers`: a `string` feature.
+
+## Data Splits
+
+|train|validation|test |
+|----:|---------:|----:|
+|4536 |       583|  583|
+
+
+## Citation Information
+
+```
+TBA
+```