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Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-f4bd1bfd8243412f8faee520d59431f6
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-ff0a9d6803af43039e8a302366b6a576
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-3b078a5b0d2b44acad32e71b445f3bb5
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-c21eb7690b5b4636a2ac0229c06101c3
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-e83a574ab465480ca7114b43005a0f0a
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-2eb5713787a04774830e2d57e093dfd6
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-a5dd4b158e264239a58b9f9a31a4b22b
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-111ba4f764fa42d7b3fd0604b71fe5ca
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-9df42477400947719869836cf03e9636
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-ae19aff2936a46e18120af94832fa8d1
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-50c7b7d38c4d4ee19355c0f162536b12
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-c5a640f1d41e49518114499e1ebf6eb1
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-5599b2fac76848e0bf4802f0d000587b
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-f2ed978559c646cc86bb6f921be62a46
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-6ac0a79fab7f4cd2a56031435727e5e0
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-bf2bb27a3d6f4a6ab181ac51fdc2a8ff
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-46108e355337471fbf6966e493828ae7
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-3ef13a9d99304141808f2367a95413e0
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-be3326f6d9424c8ea4e601ac1fd77dd4
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-9511e19376f54f4da1c75bc23a3a7ead
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-cecd9a5262e5478191e5652ddbe6af71
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-e350ece1c1b0471396c8e0c92f093f7b
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-eb68dcffa1ac489eb2b9ee07ff0df315
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-5793ef9fa3f4452db336c4035e8a07c5
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-fa1097ad8af840cbaa80bae2be503089
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-a5fd16c52c774f3798a968159fcb7557
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-21a8f601c4cd4d1ca9f698646ce616eb
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-879344093911444aac48bfd6ef147065
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-69c921ad09a64d25ba924ddf2ac37b8b
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-5080507ddb7f46f1afe68da98f89813a
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-e69567d194c14f76b191c60a8282b2ec
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-c9d034a7d9494598b2cddcf54894107a
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-c585ca624e9b464db07877fa00fdad06
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-0dd6ed0a513b4e1a845610d524c5a5cd
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-061d60bd3f8c4563a2427cd3c7e799d0
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-f30843e2f90e4f8baf31fd13751e606c
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-adf9ab06075a4645b02b199b7a263baa
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-1feb047ae77940178d8b1fbf53d4676d
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-8b0078c88f1043a5ad701f04c4177d10
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-a61cfb7e897d4d7ab77a736ac0e17051
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-f84e3dd543c3410ebbb3b58c5a687b3f
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "positive" ]
task284-925ec1d0ef314c6eac00d6212928040e
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-605570c0c2d94c63b7ea8addda0a2658
Definition: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content. Positive Example 1 - Input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where...
[ "negative" ]
task284-2f574d8e92674eab96cc6043670337be
End of preview. Expand in Data Studio

Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task284_imdb_classification

Additional Information

Citation Information

The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:

@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
    title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}, 
    author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
    year={2022},
    eprint={2204.07705},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2204.07705}, 
}

More details can also be found in the following paper:

@misc{brüelgabrielsson2024compressserveservingthousands,
    title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, 
    author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
    year={2024},
    eprint={2407.00066},
    archivePrefix={arXiv},
    primaryClass={cs.DC},
    url={https://arxiv.org/abs/2407.00066}, 
}

Contact Information

For any comments or questions, please email Rickard Brüel Gabrielsson

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