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license: cc-by-4.0 |
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 |
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# Doc / guide: https://huggingface.co/docs/hub/datasets-cards |
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{} |
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--- |
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# Dataset Card for Dataset Name |
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## Dataset Description |
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- **Homepage:** |
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- https://github.com/AARSynth/Dataset |
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- **Repository:** |
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- https://github.com/AARSynth/Dataset |
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- **Paper:** |
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- App-Aware Response Synthesis for User Reviews. |
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Umar Farooq, A.B. Siddique, Fuad Jamour, Zahijia Zhao and Vagelis Hristidis, “App-Aware Response Synthesis for User Reviews,” 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 699-708, DOI: https://doi.org/10.1109/BigData50022.2020.9377983. |
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- **Point of Contact:** |
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- Umar Farooq (ufarooq.cs@gmail.com) |
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- Abubakar Siddique (abubakar.ucr@gmail.com) |
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### Dataset Summary |
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AARSynth is a large-scale app review dataset. There are 570K review-response pairs and more than 2 million user |
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reviews for 103 popular applications. |
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### Supported Tasks and Leaderboards |
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Question Answer |
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Response Generation |
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### Languages |
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English |
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## How to use the dataset? |
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``` |
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from datasets import load_dataset |
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import pandas as pd |
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# load the dataset |
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mbr_data = load_dataset('recmeapp/AARSynth', data_dir='replies') |
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# Save dataset to .csv file for creating pandas dataframe |
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mbr_data['train'].to_csv('./mbr_data.csv', sep='***') |
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# Convert to pandas dataframe |
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aarsynth_df = pd.read_csv('./mbr_data.csv', sep='***') |
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# How many interactions are there in the AARSynth dataset? |
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print(f'There are {len(aarsynth_df)} interactions in AARSynth dataset.') |
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``` |
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[More Information Needed] |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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Umar Farooq and A.B. Siddique |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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- App-Aware Response Synthesis for User Reviews. |
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Umar Farooq, A.B. Siddique, Fuad Jamour, Zahijia Zhao and Vagelis Hristidis, “App-Aware Response Synthesis for User Reviews,” 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 699-708, DOI: https://doi.org/10.1109/BigData50022.2020.9377983. |
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### Contributions |
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[More Information Needed] |
