Duplicate from FinanceInc/auditor_sentiment

Co-authored-by: Rajiv Shah <rajistics@users.noreply.huggingface.co>

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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- en
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- multi-class-classification
+- sentiment-classification
+paperswithcode_id: null
+pretty_name: Auditor_Sentiment
+---
+# Dataset Card for Auditor Sentiment
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+
+## Dataset Description
+Auditor review sentiment collected by News Department
+
+- **Point of Contact:**
+Talked to COE for Auditing, currently sue@demo.org
+### Dataset Summary
+
+Auditor sentiment dataset of sentences from financial news. The dataset consists of several thousand sentences from English language financial news categorized by sentiment. 
+
+### Supported Tasks and Leaderboards
+
+Sentiment Classification
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+```
+"sentence": "Pharmaceuticals group Orion Corp reported a fall in its third-quarter earnings that were hit by larger expenditures on R&D and marketing .",
+"label": "negative"
+```
+
+### Data Fields
+
+- sentence: a tokenized line from the dataset
+- label: a label corresponding to the class as a string: 'positive' - (2), 'neutral' - (1), or 'negative' - (0)  
+
+### Data Splits
+
+A train/test split was created randomly with a 75/25 split
+
+## Dataset Creation
+
+### Curation Rationale
+
+To gather our auditor evaluations into one dataset. Previous attempts using off-the-shelf sentiment had only 70% F1, this dataset was an attempt to improve upon that performance.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The corpus used in this paper is made out of English news reports.
+
+#### Who are the source language producers?
+
+The source data was written by various auditors.
+
+### Annotations
+
+#### Annotation process
+
+This release of the auditor reviews covers a collection of 4840
+sentences. The selected collection of phrases was annotated by 16 people with
+adequate background knowledge on financial markets.  The subset here is where inter-annotation agreement was greater than 75%.
+
+#### Who are the annotators?
+
+They were pulled from the SME list, names are held by sue@demo.org
+
+### Personal and Sensitive Information
+
+There is no personal or sensitive information in this dataset.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+All annotators were from the same institution and so interannotator agreement
+should be understood with this taken into account.
+
+### Licensing Information
+
+License: Demo.Org Proprietary - DO NOT SHARE
+
+This dataset is based on the [financial phrasebank](https://huggingface.co/datasets/financial_phrasebank) dataset.

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dataset_infos.json

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