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: 4468878
    num_examples: 20204
  download_size: 788691
  dataset_size: 4468878
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# 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.