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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- expert-generated |
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language: |
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- en |
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license: |
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- cc0-1.0 |
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multilinguality: |
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- monolingual |
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paperswithcode_id: null |
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pretty_name: Million Headlines |
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size_categories: |
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- 1M<n<10M |
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source_datasets: |
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- original |
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task_categories: [] |
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task_ids: [] |
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--- |
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# Dataset Card for Million Headlines |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [Kaggle dataset](https://www.kaggle.com/datasets/therohk/million-headlines) |
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- **Point of Contact:** Rohit Kulkarni) |
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### Dataset Summary |
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This contains data of news headlines published over a period of eighteen years. Sourced from the reputable Australian news source ABC (Australian Broadcasting Corporation) |
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## Dataset Structure |
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### Data Instances |
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For each instance, there is a integer for the data, a string for news headline. |
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### Data Fields |
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- `publish date`: a integer that represents the data |
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- `headline`: a string for the news headline |
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### Personal and Sensitive Information |
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The dataset does not contain any personal information about the authors or the crowdworkers, but may contain descriptions of the people that were in the headlines. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset represents one news service in Australia and should not be considered representative of all news or headlines. |
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### Discussion of Biases |
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News headlines may contain biases and should not be considered neutral. |
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### Licensing Information |
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[CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/). |