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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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- found |
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languages: |
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- en |
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licenses: |
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- cc-by-nc-sa-3.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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task_categories: |
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- text-classification |
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task_ids: |
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- multi-class-classification |
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- sentiment-classification |
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paperswithcode_id: null |
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pretty_name: Auditor_Review |
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--- |
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# Dataset Card for financial_phrasebank |
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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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Auditor review data collected by News Department |
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- **Point of Contact:** |
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Talked to COE for Auditing |
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### Dataset Summary |
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Auditor sentiment dataset of sentences from financial news. The dataset consists of *** sentences from English language financial news categorized by sentiment. The dataset is divided by agreement rate of 5-8 annotators. |
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### Supported Tasks and Leaderboards |
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Sentiment Classification |
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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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``` |
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{ "sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .", |
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"label": "negative" |
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} |
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``` |
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### Data Fields |
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- sentence: a tokenized line from the dataset |
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- label: a label corresponding to the class as a string: 'positive', 'negative' or 'neutral' |
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### Data Splits |
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A test train split was created randomly with a 75/25 split |
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## Dataset Creation |
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### Curation Rationale |
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The key arguments for the low utilization of statistical techniques in |
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financial sentiment analysis have been the difficulty of implementation for |
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practical applications and the lack of high quality training data for building |
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such models. *** |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The corpus used in this paper is made out of English news on all listed |
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companies in **** |
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#### Who are the source language producers? |
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The source data was written by various auditors |
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### Annotations |
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#### Annotation process |
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This release of the financial phrase bank covers a collection of 4840 |
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sentences. The selected collection of phrases was annotated by 16 people with |
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adequate background knowledge on financial markets. |
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Given the large number of overlapping annotations (5 to 8 annotations per |
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sentence), there are several ways to define a majority vote based gold |
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standard. To provide an objective comparison, we have formed 4 alternative |
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reference datasets based on the strength of majority agreement: |
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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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All annotators were from the same institution and so interannotator agreement |
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should be understood with this taken into account. |
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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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[More Information Needed] |
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### Licensing Information |
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|
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License: Creative Commons Attribution 4.0 International License (CC-BY) |
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### Contributions |
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|
