# Dataset Card for "eps-trend-sp500"

## 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)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Repository:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

The "eps-trend-sp500" dataset contains earnings per share (EPS) trend data for companies in the S&P 500 index. It includes information about the EPS estimates for the current quarter, next quarter, current year, and next year, as well as estimates from 7 days ago, 30 days ago, 60 days ago, and 90 days ago.

### Supported Tasks and Leaderboards

The dataset can be used to analyze EPS trends and perform financial analysis tasks. It does not specify any associated leaderboards.

### Languages

The dataset does not specify any specific language.

## Dataset Structure

### Data Instances

The dataset consists of multiple data instances, where each instance represents the EPS trend data for a specific company and date.

### Data Fields

The dataset contains the following fields:

- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): The date associated with the EPS trend data.
- current_qtr (string): The current quarter.
- current_estimate_current_qtr (float64): The current estimate for the EPS in the current quarter.
- next_qtr (string): The next quarter.
- current_estimate_next_qtr (float64): The current estimate for the EPS in the next quarter.
- current_year (int64): The current year.
- current_estimate_current_year (float64): The current estimate for the EPS in the current year.
- next_year (int64): The next year.
- current_estimate_next_year (float64): The current estimate for the EPS in the next year.
- 7_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 7 days ago.
- 7_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 7 days ago.
- 7_days_ago_current_year (float64): The EPS estimate for the current year from 7 days ago.
- 7_days_ago_next_year (float64): The EPS estimate for the next year from 7 days ago.
- 30_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 30 days ago.
- 30_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 30 days ago.
- 30_days_ago_current_year (float64): The EPS estimate for the current year from 30 days ago.
- 30_days_ago_next_year (float64): The EPS estimate for the next year from 30 days ago.
- 60_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 60 days ago.
- 60_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 60 days ago.
- 60_days_ago_current_year (float64): The EPS estimate for the current year from 60 days ago.
- 60_days_ago_next_year (float64): The EPS estimate for the next year from 60 days ago.
- 90_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 90 days ago.
- 90_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 90 days ago.
- 90_days_ago_current_year (float64): The EPS estimate for the current year from 90 days ago.
- 90_days_ago_next_year (float64): The EPS estimate for the next year from 90 days ago.

### Data Splits

The dataset consists of a single split, called "train."

## Additional Information

### Dataset Curators

The eps-trend-sp500 dataset was collected by https://edarchimbaud.substack.com.

### Licensing Information

The eps-trend-sp500 dataset is licensed under the MIT License.

### Citation Information

> https://edarchimbaud.substack.com, eps-trend-sp500 dataset, GitHub repository, https://github.com/edarchimbaud

### Contributions

Thanks to [@edarchimbaud](https://github.com/edarchimbaud) for adding this dataset.
region:us
{"dataset_info": {"features": [{"name": "symbol", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "current_qtr", "dtype": "string"}, {"name": "current_estimate_current_qtr", "dtype": "float64"}, {"name": "next_qtr", "dtype": "string"}, {"name": "current_estimate_next_qtr", "dtype": "float64"}, {"name": "current_year", "dtype": "int64"}, {"name": "current_estimate_current_year", "dtype": "float64"}, {"name": "next_year", "dtype": "int64"}, {"name": "current_estimate_next_year", "dtype": "float64"}, {"name": "7_days_ago_current_qtr", "dtype": "float64"}, {"name": "7_days_ago_next_qtr", "dtype": "float64"}, {"name": "7_days_ago_current_year", "dtype": "float64"}, {"name": "7_days_ago_next_year", "dtype": "float64"}, {"name": "30_days_ago_current_qtr", "dtype": "float64"}, {"name": "30_days_ago_next_qtr", "dtype": "float64"}, {"name": "30_days_ago_current_year", "dtype": "float64"}, {"name": "30_days_ago_next_year", "dtype": "float64"}, {"name": "60_days_ago_current_qtr", "dtype": "float64"}, {"name": "60_days_ago_next_qtr", "dtype": "float64"}, {"name": "60_days_ago_current_year", "dtype": "float64"}, {"name": "60_days_ago_next_year", "dtype": "float64"}, {"name": "90_days_ago_current_qtr", "dtype": "float64"}, {"name": "90_days_ago_next_qtr", "dtype": "float64"}, {"name": "90_days_ago_current_year", "dtype": "float64"}, {"name": "90_days_ago_next_year", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 4466882, "num_examples": 20195}], "download_size": 790088, "dataset_size": 4466882}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}
TAGS
#region-us 

# Dataset Card for "eps-trend-sp500"

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: More Information needed
- Repository: More Information needed
- Point of Contact: More Information needed

### Dataset Summary

The "eps-trend-sp500" dataset contains earnings per share (EPS) trend data for companies in the S&P 500 index. It includes information about the EPS estimates for the current quarter, next quarter, current year, and next year, as well as estimates from 7 days ago, 30 days ago, 60 days ago, and 90 days ago.

### Supported Tasks and Leaderboards

The dataset can be used to analyze EPS trends and perform financial analysis tasks. It does not specify any associated leaderboards.

### Languages

The dataset does not specify any specific language.

## Dataset Structure

### Data Instances

The dataset consists of multiple data instances, where each instance represents the EPS trend data for a specific company and date.

### Data Fields

The dataset contains the following fields:

- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): The date associated with the EPS trend data.
- current_qtr (string): The current quarter.
- current_estimate_current_qtr (float64): The current estimate for the EPS in the current quarter.
- next_qtr (string): The next quarter.
- current_estimate_next_qtr (float64): The current estimate for the EPS in the next quarter.
- current_year (int64): The current year.
- current_estimate_current_year (float64): The current estimate for the EPS in the current year.
- next_year (int64): The next year.
- current_estimate_next_year (float64): The current estimate for the EPS in the next year.
- 7_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 7 days ago.
- 7_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 7 days ago.
- 7_days_ago_current_year (float64): The EPS estimate for the current year from 7 days ago.
- 7_days_ago_next_year (float64): The EPS estimate for the next year from 7 days ago.
- 30_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 30 days ago.
- 30_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 30 days ago.
- 30_days_ago_current_year (float64): The EPS estimate for the current year from 30 days ago.
- 30_days_ago_next_year (float64): The EPS estimate for the next year from 30 days ago.
- 60_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 60 days ago.
- 60_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 60 days ago.
- 60_days_ago_current_year (float64): The EPS estimate for the current year from 60 days ago.
- 60_days_ago_next_year (float64): The EPS estimate for the next year from 60 days ago.
- 90_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 90 days ago.
- 90_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 90 days ago.
- 90_days_ago_current_year (float64): The EPS estimate for the current year from 90 days ago.
- 90_days_ago_next_year (float64): The EPS estimate for the next year from 90 days ago.

### Data Splits

The dataset consists of a single split, called "train."

## Additional Information

### Dataset Curators

The eps-trend-sp500 dataset was collected by URL.

### Licensing Information

The eps-trend-sp500 dataset is licensed under the MIT License.



> URL, eps-trend-sp500 dataset, GitHub repository, URL

### Contributions

Thanks to @edarchimbaud for adding this dataset.
# Dataset Card for "eps-trend-sp500" ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: More Information needed
- Repository: More Information needed
- Point of Contact: More Information needed ### Dataset Summary

The "eps-trend-sp500" dataset contains earnings per share (EPS) trend data for companies in the S&P 500 index. It includes information about the EPS estimates for the current quarter, next quarter, current year, and next year, as well as estimates from 7 days ago, 30 days ago, 60 days ago, and 90 days ago. ### Supported Tasks and Leaderboards

The dataset can be used to analyze EPS trends and perform financial analysis tasks. It does not specify any associated leaderboards. ### Languages

The dataset does not specify any specific language. ## Dataset Structure ### Data Instances

The dataset consists of multiple data instances, where each instance represents the EPS trend data for a specific company and date. ### Data Fields

The dataset contains the following fields:

- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): The date associated with the EPS trend data.
- current_qtr (string): The current quarter.
- current_estimate_current_qtr (float64): The current estimate for the EPS in the current quarter.
- next_qtr (string): The next quarter.
- current_estimate_next_qtr (float64): The current estimate for the EPS in the next quarter.
- current_year (int64): The current year.
- current_estimate_current_year (float64): The current estimate for the EPS in the current year.
- next_year (int64): The next year.
- current_estimate_next_year (float64): The current estimate for the EPS in the next year.
- 7_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 7 days ago.
- 7_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 7 days ago.
- 7_days_ago_current_year (float64): The EPS estimate for the current year from 7 days ago.
- 7_days_ago_next_year (float64): The EPS estimate for the next year from 7 days ago.
- 30_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 30 days ago.
- 30_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 30 days ago.
- 30_days_ago_current_year (float64): The EPS estimate for the current year from 30 days ago.
- 30_days_ago_next_year (float64): The EPS estimate for the next year from 30 days ago.
- 60_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 60 days ago.
- 60_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 60 days ago.
- 60_days_ago_current_year (float64): The EPS estimate for the current year from 60 days ago.
- 60_days_ago_next_year (float64): The EPS estimate for the next year from 60 days ago.
- 90_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 90 days ago.
- 90_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 90 days ago.
- 90_days_ago_current_year (float64): The EPS estimate for the current year from 90 days ago.
- 90_days_ago_next_year (float64): The EPS estimate for the next year from 90 days ago. ### Data Splits

The dataset consists of a single split, called "train." ## Additional Information ### Dataset Curators

The eps-trend-sp500 dataset was collected by URL. ### Licensing Information

The eps-trend-sp500 dataset is licensed under the MIT License.



> URL, eps-trend-sp500 dataset, GitHub repository, URL ### Contributions

Thanks to @edarchimbaud for adding this dataset.
TAGS
#region-us 
 # Dataset Card for "eps-trend-sp500" ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: More Information needed
- Repository: More Information needed
- Point of Contact: More Information needed ### Dataset Summary

The "eps-trend-sp500" dataset contains earnings per share (EPS) trend data for companies in the S&P 500 index. It includes information about the EPS estimates for the current quarter, next quarter, current year, and next year, as well as estimates from 7 days ago, 30 days ago, 60 days ago, and 90 days ago. ### Supported Tasks and Leaderboards

The dataset can be used to analyze EPS trends and perform financial analysis tasks. It does not specify any associated leaderboards. ### Languages

The dataset does not specify any specific language. ## Dataset Structure ### Data Instances

The dataset consists of multiple data instances, where each instance represents the EPS trend data for a specific company and date. ### Data Fields

The dataset contains the following fields:

- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): The date associated with the EPS trend data.
- current_qtr (string): The current quarter.
- current_estimate_current_qtr (float64): The current estimate for the EPS in the current quarter.
- next_qtr (string): The next quarter.
- current_estimate_next_qtr (float64): The current estimate for the EPS in the next quarter.
- current_year (int64): The current year.
- current_estimate_current_year (float64): The current estimate for the EPS in the current year.
- next_year (int64): The next year.
- current_estimate_next_year (float64): The current estimate for the EPS in the next year.
- 7_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 7 days ago.
- 7_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 7 days ago.
- 7_days_ago_current_year (float64): The EPS estimate for the current year from 7 days ago.
- 7_days_ago_next_year (float64): The EPS estimate for the next year from 7 days ago.
- 30_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 30 days ago.
- 30_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 30 days ago.
- 30_days_ago_current_year (float64): The EPS estimate for the current year from 30 days ago.
- 30_days_ago_next_year (float64): The EPS estimate for the next year from 30 days ago.
- 60_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 60 days ago.
- 60_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 60 days ago.
- 60_days_ago_current_year (float64): The EPS estimate for the current year from 60 days ago.
- 60_days_ago_next_year (float64): The EPS estimate for the next year from 60 days ago.
- 90_days_ago_current_qtr (float64): The EPS estimate for the current quarter from 90 days ago.
- 90_days_ago_next_qtr (float64): The EPS estimate for the next quarter from 90 days ago.
- 90_days_ago_current_year (float64): The EPS estimate for the current year from 90 days ago.
- 90_days_ago_next_year (float64): The EPS estimate for the next year from 90 days ago. ### Data Splits

The dataset consists of a single split, called "train." ## Additional Information ### Dataset Curators

The eps-trend-sp500 dataset was collected by URL. ### Licensing Information

The eps-trend-sp500 dataset is licensed under the MIT License.



> URL, eps-trend-sp500 dataset, GitHub repository, URL ### Contributions

Thanks to @edarchimbaud for adding this dataset.
passage: TAGS
#region-us 
# Dataset Card for "eps-trend-sp500"## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: More Information needed
- Repository: More Information needed
- Point of Contact: More Information needed### Dataset Summary

The "eps-trend-sp500" dataset contains earnings per share (EPS) trend data for companies in the S&P 500 index. It includes information about the EPS estimates for the current quarter, next quarter, current year, and next year, as well as estimates from 7 days ago, 30 days ago, 60 days ago, and 90 days ago.### Supported Tasks and Leaderboards

The dataset can be used to analyze EPS trends and perform financial analysis tasks. It does not specify any associated leaderboards.### Languages

The dataset does not specify any specific language.## Dataset Structure### Data Instances

The dataset consists of multiple data instances, where each instance represents the EPS trend data for a specific company and date.