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README.md
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---
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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languages:
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- en
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licenses:
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- mit
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multilinguality:
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- monolingual
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size_categories:
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- 100K<n<1M
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source_datasets:
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- original
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task_categories:
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- summarization
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task_ids:
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- HighlightSum: AMI & SamSUM & DialogSUM Corpus
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pretty_name: HighlightSum Corpus
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---
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# Dataset Card for DIALOGSum Corpus
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## Dataset Description
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### Links
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- **AMI:** https://huggingface.co/datasets/knkarthick/AMI
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- **DialogSUM:** https://github.com/cylnlp/dialogsum
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- **SamSUM:** https://huggingface.co/datasets/knkarthick/samsum
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- **Point of Contact:** https://huggingface.co/knkarthick
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### Dataset Summary
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HighlightSUM is collection of large-scale dialogue summarization dataset from AMI, SamSUM & DialogSUM, consisting of 31,108 dialogues with corresponding manually labeled summaries.
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### Languages
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English
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## Dataset Structure
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### Data Instances
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HighlightSum is a large-scale dialogue summarization dataset collection, consisting of 31,108 dialogues split into train, test and validation.
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The first instance in the training set:
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{'id': 'train_0',
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'summary': "Mr. Smith's getting a check-up, and Doctor Hawkins advises him to have one every year. Hawkins'll give some information about their classes and medications to help Mr. Smith quit smoking.",
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'dialogue': "#Person1#: Hi, Mr. Smith. I'm Doctor Hawkins. Why are you here today?\n#Person2#: I found it would be a good idea to get a check-up.\n#Person1#: Yes, well, you haven't had one for 5 years. You should have one every year.\n#Person2#: I know. I figure as long as there is nothing wrong, why go see the doctor?\n#Person1#: Well, the best way to avoid serious illnesses is to find out about them early. So try to come at least once a year for your own good.\n#Person2#: Ok.\n#Person1#: Let me see here. Your eyes and ears look fine. Take a deep breath, please. Do you smoke, Mr. Smith?\n#Person2#: Yes.\n#Person1#: Smoking is the leading cause of lung cancer and heart disease, you know. You really should quit.\n#Person2#: I've tried hundreds of times, but I just can't seem to kick the habit.\n#Person1#: Well, we have classes and some medications that might help. I'll give you more information before you leave.\n#Person2#: Ok, thanks doctor."}
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### Data Fields
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- dialogue: text of dialogue.
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- summary: human written summary of the dialogue.
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- id: unique file id of an example.
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### Data Splits
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- train: 27401
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- val: 1360
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- test: 2347
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## Dataset Creation
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### Curation Rationale
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Collection of AMI, SamSUM & DialogSUM Datasets.
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### Who are the source language producers?
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linguists
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### Who are the annotators?
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language experts
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## Licensing Information
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non-commercial licence: MIT
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## Citation Information
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Refer the above links for Credits & Citations.
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