Getting started
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About Storytell
How we manage Storytell user dataHow to upload content to your SmartChat™
- Access SmartChat™ by going to Storytell.ai and then to your "Dashboard".
- If you have already logged in, you should see the following interface. You can click Content Manager to see all the content you have uploaded.
- Click on the Upload Knowledge button or drag and drop your file to this portion of the screen.
- When the
Upload Knowledge
button is clicked, this modal will pop up - Here’s how to upload content:
a. Click on Choose files
in order to select a file from your device’s file manager. The upload modal also shows the supported file types (Max of 500MB).
b. You can also upload text files, website URLs, and YouTube video links by clicking on the respective buttons. Here’s what this would look like
d. You can also use our Chrome extension to upload web content. Learn more here
5. Once the upload is complete, you can start chat with it, manage your tags, delete or set your privacy preferences.
- You can also delete tags by clicking on the X button on the tag.
Upload content to your SmartChat™ using a link
- Upload your content by going to the Content Manager tab
- Click on the Upload Knowledge button
- Click on the Web button
- And paste in the link you wish to upload
Supported File Types
SmartChat™ supports a wide range of file types, allowing you to upload and work with various documents, presentations, audio files, and more. Below is a list of the currently supported file types:
- PDF (Portable Document Format): Upload and analyze PDF documents, including reports, manuals, and e-books.
- PPT (PowerPoint Presentation): Import and work with PowerPoint presentations directly in SmartChat™.
- MD (Markdown): Upload and process Markdown files for easy formatting and content creation.
- XML (Extensible Markup Language): Import and analyze XML files to extract and work with structured data.
- TXT (Plain Text): Upload and process plain text files for various text-based tasks and analysis.
- VTT (Video Text Tracks): Import and work with VTT files for subtitles, captions, and timed metadata.
- CSV (Comma-Separated Values): Upload and analyze CSV files for working with tabular data and spreadsheets.
- XLS (Microsoft Excel Spreadsheet): Import and process Microsoft Excel files for data analysis and manipulation.
- DOC (Microsoft Word Document): Upload and work with Microsoft Word documents directly in SmartChat™.
- MP3 (Audio File): Import and analyze audio files in MP3 format for various audio-related tasks.
- MP4 (Video File): Upload and process video files in MP4 format for video analysis and related tasks.
- ZIP (Compressed Archive): Import and extract content from compressed ZIP archives containing supported file types.
How to upload images to SmartChat™
If you're looking to share images in SmartChat™, here's a straightforward guide on how to do it by converting your images into a PDF. This method keeps the sharing process simple and ensures that everyone can view your images, regardless of their device.
- Choose your images Select the images you want to share. Make sure they're ready on your device.
- Convert your images to PDF You'll need to turn your images into a PDF file. Here's a quick way to do it on different devices:
- Windows: Right-click on your image, select Print, and choose 'Microsoft Print to PDF' as your printer.
- macOS: Open your image in Preview, and select File > Export as PDF.
- Online Tools: Look for "convert image to PDF" online to find a tool that can help.
- Create an image-only PDF Make sure your PDF contains only images. This helps keep the file compatible with SmartChat™ and easy for others to view.
- Upload your PDF to SmartChat™ Follow the steps above to upload your image-only PDF into SmartChat™
ℹ The PDF should be at most 15 pages long
Extra Tips:
- Image Quality: Check that your images are high quality and upright before converting them.
- Managing Multiple Images: If you have more than 15 images, consider making more than one PDF. This keeps things organized and easy to view.
How does SmartChat™ Powerpoint (.ppt) files?
SmartChat™ removes any formatting in the powerpoint file and extracts only the text files. See the image below as an example:
<filename>.txt
Pro-tips for working with structured data like CSVs:
Important: Although Storytell can handle files up to 500mb, the max file size for CSVs is 20mb
Storytell can analyze structured data in a variety of ways — here are some options for you to consider:
- Upload CSVs directly
- Convert CSVs into structured XML files using a 3rd party tool like OnlineCSVTools.com or ConvertCSV
- Convert CSVs into structured JSON files using a 3rd party tool like OnlineCSVTools.com
Here is a 📂 folder with a set of test data you can use to try some of the examples below. You can also view the CSV data in this Google sheet.This folder contains the following files:‣
- “Small” CSV (10 rows, 5 columns) - Planets and Moons
- Rows: Names of planets and significant moons from our solar system.
- Columns: Name, Composition, Distance from the Sun, Orbital Period, Diameter.
- This data is also in XML and JSON format
- “Medium” CSV (500 rows, 20 columns) - Stars
- Rows: Fictional star names.
- Columns: Name, Type, Age, Distance from Earth, Mass, Radius, Luminosity, Temperature, Color, Constellation, Planets, Moons, Discovery Year, Apparent Magnitude, Absolute Magnitude, Flare Activity, Rotation Period, Metallicity, Binary System, Nearest Star.
- This data is also in XML and JSON format
- “Large” CSV (5,000 rows, 100 columns) - Exoplanets
- Rows: Fictional exoplanets.
- Columns: A wide range of fictional attributes including planet name, type, host star characteristics, distance, orbital features, atmospheric composition, potential for life, etc.
- This data is also in XML and JSON format
- XL CSV (10,000 rows, 100 columns) - Celestial phenomena
- Rows: Fictional celestial phenomena.
- Columns: A wide range of fictional attributes including name, type, characteristics, distance, orbital features, atmospheric composition, potential for life, etc.
- XXL CSV (50,000 rows, 100 columns) - Galaxies
- Rows: Fictional galaxy names.
- Columns: Extremely detailed attributes such as name, type, distance, mass, diameter, number of stars, central black hole characteristics, star formation rate, metallic content, nearest galaxies, etc.
- Note:
- This file is too large to convert into XML or JSON
- This file is too large to load into Storytell
Testing results with CSV, XML and JSON versions of structured data:
Conclusions:
- SmartChat™ returns correct answers in all formats.
- XML and JSON will return much faster results because SmartChat™ doesn’t have to go into structured analytics mode
- XML format provided the most robust answers
Prompt: | Small CSV | Small XML | Small JSON |
Give me a summary of this data
| ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
I’m detecting structured data... kicking off a deeper analysis, which can take a minute to complete. I’ll walk you through the process as we go. As always, we’re encrypting your data to keep it safe and secure.
Identified the following files to use as reference:
- Small - Planets_and_Moons.csv
The file does not have an extension, which suggests that it might have been removed or not provided. To understand the content and hence summarize the data, I will begin by reading a portion of the file's contents to identify its structure and format.
The file appears to be structured as a CSV (comma-separated values) containing planetary data with columns for Name, Composition, Distance from the Sun (AU), Orbital Period (years), and Diameter (km).
To summarize the data, I will:
1. Load the CSV data into a dataframe.
2. Provide a descriptive summary of the dataframe, which includes the number of entries, mean, and other descriptive statistics for the numeric fields.
3. Identify any unique categorical data, such as planet names and compositions.
The CSV data provides information on 10 celestial bodies, including planets and moons within our solar system. Here is a summary of the data:
- There are 10 unique names, including Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Moon, and Titan.
- The composition of these celestial bodies is categorized into 4 unique types: Rocky, Gas Giant, Ice Giant, and Icy.
- The average distance from the Sun is 8.46 AU (Astronomical Units), with a standard deviation of 10.84 AU.
- The average orbital period is approximately 30.99 years, with a large variability indicated by a standard deviation of 53.62 years.
- The diameters range from 3,474 km to 139,820 km, with an average diameter of 40,137.5 km.
This data provides a good overview of some key characteristics of the bodies within our solar system. | ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
The provided XML data contains information about various celestial bodies within our solar system, specifically some planets and moons. It includes details about their composition, distance from the Sun (measured in Astronomical Units, AU), orbital period around the Sun (measured in Earth years), and their diameters (measured in kilometers).
- Mercury is a rocky planet, 0.39 AU from the Sun, with an orbital period of 0.24 years and a diameter of 4,879 km.
- Venus, also rocky, is 0.72 AU from the Sun, orbits it in 0.62 years, and has a diameter of 12,104 km.
- Earth is the third rocky planet listed, 1 AU from the Sun, with an orbital period of 1 year and a diameter of 12,742 km.
- Mars follows with a rocky composition, situated 1.52 AU from the Sun, an orbital period of 1.88 years, and a diameter of 6,779 km.
- Jupiter is a gas giant, 5.2 AU from the Sun, with an orbital period of 11.86 years and a diameter of 139,820 km.
- Saturn, another gas giant, is 9.58 AU from the Sun, has an orbital period of 29.46 years, and a diameter of 116,460 km.
- Uranus is an ice giant, 19.22 AU from the Sun, with an orbital period of 84.01 years and a diameter of 50,724 km.
- Neptune, also an ice giant, is 30.05 AU from the Sun, with an orbital period of 164.79 years and a diameter of 49,244 km.
- The Moon, Earth's natural satellite, is rocky with no specified distance from the Sun (as it orbits the Earth), an orbital period of 0.074 years, and a diameter of 3,474 km.
- Titan, a moon of Saturn, has an icy composition, no specified distance from the Sun, an orbital period of 15.94 years, and a diameter of 5,149 km.
This data provides a concise overview of the primary characteristics of each celestial body mentioned, offering a snapshot of their physical and orbital properties. | ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
The provided data outlines key characteristics of eight planets in our solar system, along with two moons. The planets are categorized by their composition as either rocky, gas giants, or ice giants. Mercury, Venus, Earth, and Mars are rocky planets, with Mercury being the closest to the Sun at 0.39 AU (Astronomical Units) and Mars being the farthest among them at 1.52 AU. Jupiter and Saturn are gas giants, with Jupiter being 5.2 AU from the Sun and Saturn at 9.58 AU. Uranus and Neptune are classified as ice giants, with Uranus at a distance of 19.22 AU and Neptune at 30.05 AU from the Sun.
The orbital period, which is the time a planet takes to complete one orbit around the Sun, varies from 0.24 years for Mercury to 164.79 years for Neptune. The diameters of these planets also range widely, from Mercury's 4879 km to Jupiter's massive 139820 km.
Additionally, the data includes information on two moons: Earth's Moon and Titan, a moon of Saturn. The Moon has a rocky composition and an orbital period of about 0.074 years, while Titan is icy with an orbital period of 15.94 years. The Moon's diameter is 3474 km, and Titan's is 5149 km. The distance from the Sun for the moons is marked as "N/A," indicating that their distance is generally considered relative to their parent planet rather than the Sun. |
How far is Saturn from the sun? | ✅ Answer Correct
=================
Saturn is 9.58 Astronomical Units (AU) from the Sun.
| ✅ Answer Correct
=================
Saturn is 9.58 Astronomical Units (AU) from the Sun.
| ✅ Answer Correct
=================
Saturn is 9.58 Astronomical Units (AU) from the Sun. |
Conclusions:
- CSV analysis mode is needed for a CSV of this size.
- Both JSON and XML failed to consistently provide correct answers consistently for detailed questions, but worked for high-level summaries.
Prompt: | Medium CSV | Medium XML | Medium JSON |
Give me a summary of this data | ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
I’m detecting structured data... kicking off a deeper analysis, which can take a minute to complete. I’ll walk you through the process as we go. As always, we’re encrypting your data to keep it safe and secure.
Identified the following files to use as reference:
- Medium - Fictional_Stars.csv
The data appears to be a table of information about different stars, including their attributes such as type, age, distance from Earth, mass, radius, luminosity, temperature, color, constellation, and whether they are part of a binary system, among other characteristics. There are various columns that provide quantitative and qualitative data about each star:
- Name: Identifier for the star (e.g., Star-0001)
- Type: The type of star (e.g., Neutron Star, White Dwarf)
- Age (billion years): The age in billions of years
- Distance from Earth (light years): How far the star is from Earth in light years
- Mass (solar masses): The mass of the star compared to the Sun's mass
- Radius (solar radii): The radius of the star compared to the Sun's radius
- Luminosity (solar luminosities): The brightness compared to the Sun
- Temperature (K): The surface temperature in Kelvin
- Color: The general color of the star
- Constellation: The constellation in which the star is located
- Planets: The number of planets around the star
- Moons: The number of moons around those planets
- Discovery Year: The year the star was discovered
- Apparent Magnitude: The brightness of the star as it appears from Earth
- Absolute Magnitude: The brightness of the star as it would appear at a standard distance
- Flare Activity: The level of stellar flare activity (e.g., Low, Medium, High)
- Rotation Period (days): The time it takes for the star to complete one rotation
- Metallicity (% of solar): The metal content compared to the Sun
- Binary System: Whether the star is part of a binary system (Yes or No)
- Nearest Star (light years): The distance to the nearest star in light years
The summary provided is based on the first five rows of the dataset. The complete dataset may contain additional entries with similar structure and attributes. | ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
The provided data appears to be a collection of fictional astronomical entries describing various stars. Each entry includes a set of attributes for a star, such as:
- Name: A unique identifier for the star, such as "Star-0001", "Star-0002", etc., up to "Star-0500".
- Type: The classification of the star, which includes types like Neutron Star, White Dwarf, Red Dwarf, Yellow Dwarf, Blue Giant.
- Age: The age of the star in billion years, with a range from as young as 0.1 billion years to as old as 9.91 billion years.
- Distance from Earth: The distance of each star from Earth, measured in light years.
- Mass: The mass of the star, given in solar masses (a unit based on the mass of the Sun).
- Radius: The size of the star, given in solar radii (a unit based on the radius of the Sun).
- Luminosity: The brightness of the star, given in solar luminosities (a unit based on the luminosity of the Sun).
- Temperature: The surface temperature of the star, measured in Kelvin.
- Color: The color of the star, which can include blue, red, white, yellow, and orange, indicative of the star's temperature.
- Constellation: The constellation with which each star is associated, such as Orion, Ursa Major, Cassiopeia, Andromeda, and Cygnus.
- Planets and Moons: The number of planets and moons orbiting the star.
- Discovery Year: The year in which the star was supposedly discovered, ranging from the 18th to the 21st century.
- Apparent Magnitude: A measure of the star's brightness as seen from Earth.
- Absolute Magnitude: A measure of the intrinsic brightness of the star.
- Flare Activity: The level of flare activity of the star, which can be low, medium, or high.
- Rotation Period: The time it takes for the star to complete one rotation, given in days.
- Metallicity: The proportion of elements heavier than hydrogen and helium in the star, compared to the Sun, given as a percentage.
- Binary System: Indicates whether the star is part of a binary system, where two stars orbit each other.
- Nearest Star: The distance to the nearest star, given in light years.
The data is structured with key-value pairs and includes a variety of stellar characteristics that could be used for educational or entertainment purposes, such as in a simulation or game. The dataset is fictional, as indicated by the unrealistic masses and luminosities for some of the star types, and the presence of [SEP] markers that suggest content has been edited or altered. | ✅ Answer Correct
Want to test it yourself?
SmartChat™ test link | Raw data
=================
The provided data appears to be a collection of fictional astronomical objects, specifically stars, with various attributes assigned to each. These attributes include:
- Name: Each star is given a unique identifier, such as "Star-0001", "Star-0002", etc.
- Type: The type of star, which varies among Neutron Star, White Dwarf, Yellow Dwarf, Red Dwarf, Blue Giant, etc.
- Age: The age of the star in billion years, with a wide range of ages from 0.1 to 9.98 billion years.
- Distance from Earth: The distance of each star from Earth in light years, ranging from hundreds to thousands of light years.
- Mass: The mass of the star in solar masses, indicating how many times more massive it is compared to our Sun.
- Radius: The radius of the star in solar radii, showing how many times larger it is compared to the Sun's radius.
- Luminosity: The luminosity of the star in solar luminosities, a measure of brightness compared to the Sun.
- Temperature: The surface temperature of the star in Kelvin.
- Color: The color of the star, which includes Blue, Red, White, Yellow, and Orange.
- Constellation: The constellation where the star is located, such as Orion, Ursa Major, Cygnus, Cassiopeia, and Andromeda.
- Planets: The number of planets orbiting the star.
- Moons: The number of moons associated with those planets.
- Discovery Year: The year the star was supposedly discovered, ranging from the 19th to the 21st century.
- Apparent Magnitude: The brightness of the star as seen from Earth.
- Absolute Magnitude: The intrinsic brightness of the star.
- Flare Activity: The level of flare activity of the star, which can be None, Low, Medium, or High.
- Rotation Period: The time it takes for the star to complete one rotation, in days.
- Metallicity: The percentage of elements heavier than helium in the star's composition, compared to the Sun.
- Binary System: Indicates whether the star is part of a binary system (Yes or No).
- Nearest Star: The distance to the nearest star in light years.
The data seems to be structured in a tabular format, with each row representing a different star and its characteristics. The use of [SEP] suggests that some information has been omitted from the original content. The data is likely intended for a fictional setting, given the structured naming convention and the fact that some of the attributes, such as discovery years in the future, are not possible in reality.
|
What type is Star-0194?
(This data point is in B:195 — far from the column header label but cell-adjacent to the row label) | ✅ Answer Correct
=================
The type of Star-0194 is "Blue Giant” | ❌ Answer Incorrect
=================
Star-0194 is a White Dwarf. | ❌ Answer Incorrect
=================
The type of Star-0194 is not provided in the content above. The details for Star-0194 are not included within the given data, so I'm unable to provide its type. |
In this data, the star name is tagged with <Name> and the type is tagged below it with <Type> Give me the Type for the star Named Star-0194
| N/A — correct on first try above | ❌ Answer Incorrect
=================
The type for the star named Star-0194 is not provided in the content above. The details for Star-0194 are not included within the given excerpts, so I'm unable to determine its type based on the available information.
| ✅ Answer Correct
=================
The type for the star named Star-0194 is Blue Giant.
|
What is the Absolute Magnitude of Star-0317?
(This data point is in O:318 — far from both the column & row header labels)
| ✅ Answer Correct
=================
The Absolute Magnitude of Star-0317 is -7.58 | ✅ Answer Correct
=================
The Absolute Magnitude of Star-0317 is "-7.58” | ❌ Answer Incorrect
=================
The Absolute Magnitude of Star-0317 is 8.12. |
Conclusions:
- CSV provided the correct answers
- SmartChat™ was unable to parse XML and JSON files due to size
Conclusions:
- SmartChat™ isn’t currently able to parse files of this size.
Prompt: | XL CSV | XL XML | XL JSON |
❗ Answer unavailable
SmartChat™ was able to upload — but not access — a file of this size.
| ❗ Answer unavailable
SmartChat™ was not able to parse a file of this size after upload.
| ❗ Answer unavailable
SmartChat™ was not able to parse a file of this size after upload.
| |
❗ Answer unavailable
SmartChat™ was able to upload — but not access — a file of this size.
| ❗ Answer unavailable
SmartChat™ was not able to parse a file of this size after upload.
| ❗ Answer unavailable
SmartChat™ was not able to parse a file of this size after upload.
|
Working with multiple CSVs:
In this SmartChat™ tag, we’ve loaded in the small, medium and large CSV files.
Prompt: Give me a summary of this data
Response:
I’m detecting structured data... kicking off a deeper analysis, which can take a minute to complete. I’ll walk you through the process as we go. As always, we’re encrypting your data to keep it safe and secure. Identified the following files to use as reference:
- Large - Fictional_Exoplanets.csv
- Medium - Fictional_Stars.csv
- Small - Planets_and_Moons.csv
I will begin by examining the files to understand their content and format. Let's start by identifying the file types and sizes using Python.
The files have been identified, and their sizes vary from a few hundred bytes to several megabytes. The next step is to determine the file types by examining their content. I will start with the smallest file and then proceed to analyze the two larger ones. Let's examine the content of the smallest file first.
The smallest file contains structured data in CSV format, listing various celestial bodies along with their composition, distance to the Sun, orbital period, and diameter. Following this, I will now analyze the first larger file to determine its content and type.
The first larger file also appears to be structured in CSV format, containing information about various objects, potentially exoplanets or stars, with multiple features (at least 90). It has attributes such as name, type, host star type, temperature, and mass, followed by numerous other features labeled from Feature-5 to Feature-90.
Finally, I will examine the content and type of the second large file.
The second large file is also in CSV format, detailing celestial objects with various characteristics such as type, age, distance from Earth, mass, and other attributes including color, constellation, planets, moons, and several more up to the nearest star distance.
In summary, we have:
- A small CSV file listing celestial bodies such as planets and moons with their composition, distance from the Sun, orbital period, and diameter.
- A large CSV file containing detailed features of subjects, likely exoplanets or stars, including their type and host star characteristics among many other features.
- Another large CSV file which includes detailed descriptions of stars, indicating their type, age, mass, radius, and several other astrophysical measurements.
To provide a comprehensive summary of this data, I will load the CSV files into pandas DataFrames and then generate a concise summary of each. Let's start with the smallest CSV file and work our way up.
The small CSV file contains data on 10 celestial bodies with details about their composition, distance from the Sun (AU), orbital period (years), and diameter (km).
Columns in this file are as follows:
- Name
- Composition
- Distance from the Sun (AU)
- Orbital Period (years)
- Diameter (km)
Here are the details of the first five entries:
Name | Composition | Distance from the Sun (AU) | Orbital Period (years) | Diameter (km) |
Mercury | Rocky | 0.39 | 0.24 | 4879 |
Venus | Rocky | 0.72 | 0.62 | 12104 |
Earth | Rocky | 1.00 | 1.00 | 12742 |
Mars | Rocky | 1.52 | 1.88 | 6779 |
Jupiter | Gas Giant | 5.20 | 11.86 | 139820 |
Next, I will summarize the first large CSV file.
The first large CSV file contains data on 5000 entries with 100 columns of detailed features, including:
- Name
- Type
- Host Star Type
- Host Star Temperature (K)
- Host Star Mass (solar masses)
- Followed by many other quantitative features ranging from Feature-5 to Feature-99
Below is a snapshot of the data for the first five entries (truncated):
Name | Type | Host Star Type | Host Star Temperature (K) | Host Star Mass (solar masses) | ... | Feature-99 |
Exoplanet-0001 | Terrestrial | Red Dwarf | 9256 | 1.70 | ... | 0.3895 |
Exoplanet-0002 | Super Earth | Blue Giant | 4945 | 1.57 | ... | 0.5999 |
Exoplanet-0003 | Gas Giant | Red Dwarf | 4841 | 4.93 | ... | 0.9390 |
Exoplanet-0004 | Terrestrial | Neutron Star | 9819 | 8.90 | ... | 0.1568 |
Exoplanet-0005 | Terrestrial | White Dwarf | 8751 | 45.34 | ... | 0.6053 |
Finally, I will summarize the second large CSV file.
The second large CSV file includes data on 500 stars with 20 columns of detailed features, such as:
- Name
- Type
- Age (billion years)
- Distance from Earth (light years)
- Mass (solar masses)
- Radius (solar radii)
- Luminosity (solar luminosities)
- Temperature (K)
- Color
- Constellation
- Planets
- Moons
- Discovery Year
- Apparent Magnitude
- Absolute Magnitude
- Flare Activity
- Rotation Period (days)
- Metallicity (% of solar)
- Binary System
- Nearest Star (light years)
Here's a snapshot of the data for the first five entries (truncated):
Name | Type | Age (billion years) | ... | Nearest Star (light years) |
Star-0001 | Neutron Star | 2.16 | ... | 11.54 |
Star-0002 | White Dwarf | 7.10 | ... | 24.27 |
Star-0003 | Neutron Star | 8.79 | ... | 4.45 |
Star-0004 | Red Dwarf | 1.07 | ... | 3.57 |
Star-0005 | Yellow Dwarf | 4.96 | ... | 11.52 |
To summarize, the data provided includes information on celestial bodies in our solar system, details of exoplanets or stars with host star characteristics, and astrophysical measurements of stars within or beyond our galaxy.
Working with structured CSVs alongside unstructured data:
In this SmartChat™ tag, we’ve added a PDF to the the small, medium and large CSV files.
Prompt: Expand on the Greek Mythology stories using the planet, star and exoplanet information provided. Make up a few great stories that incorporate that data.
Response:
I’m detecting structured data... kicking off a deeper analysis, which can take a minute to complete. I’ll walk you through the process as we go. As always, we’re encrypting your data to keep it safe and secure. Identified the following files to use as reference:
- Star mythology and information.pdf
- Large - Fictional_Exoplanets.csv
- Medium - Fictional_Stars.csv
- Small - Planets_and_Moons.csv
The first step will be to identify the content of the uploaded files. Since the files are not accessible via the myfiles_browser
tool, I will need to do a manual check of the files to determine their format and content. This involves loading each file and inspecting its contents.
Next, I will review the contents to extract the information about planets, stars, and exoplanets needed to create the stories based on Greek Mythology.
Finally, using the extracted information, I will craft a few creative stories that intertwine the Greek Mythological characters and themes with the celestial data provided.
I will now begin by loading the first file to analyze its contents.
The first file appears to be a text document that contains information about astronomy, including stars like Deneb and celestial phenomena such as eclipses. It provides details on measuring the brightness of stars, difficulties presented by distances in space, the brightness of the star Deneb, and how eclipses provide opportunities for scientific study.
Now, I will load the second file to determine its contents and format.
The second file is a CSV containing information about 5000 exoplanets, including their types (e.g., Terrestrial, Super Earth, Gas Giant), host star types (e.g., Red Dwarf, Blue Giant), host star temperature, host star mass, and several other features (e.g., Feature-5 to Feature-99).
Let's proceed to load the third file to understand its contents and format.
The third file is a CSV containing information about 500 stars, including their names, types (e.g., Neutron Star, White Dwarf), age, distance from Earth, mass, radius, luminosity, temperature, and additional characteristics such as flare activity, rotation period, and metallicity. Some stars are noted as being part of a binary system and the nearest star distance is also provided.
Next, I will load the fourth file to understand its contents and format.
The fourth file is a CSV containing information about various celestial bodies in our solar system, including Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, the Moon, and Titan. It provides data on their composition, distance from the Sun (in astronomical units, AU), orbital period (in Earth years), and diameter (in kilometers).
With the information from all four files, I will now proceed to create a few great stories that incorporate Greek mythology with the celestial data provided. Let's begin with the story creation process.
With the celestial data available, we can create the following Greek mythology-inspired stories:
- The Forge of Hephaestus and Exoplanet-2765: Upon the Gas Giant, Exoplanet-2765, orbits a fiery moon, unseen by human eyes, where the god Hephaestus established his cosmic forge. Fueled by the radiant energy from its host Yellow Dwarf star, the forge is said to be where the lightning bolts of Zeus are crafted. Each bolt harnesses the power of a thousand suns, a tribute to the prowess of the great craftsman god. Despite the Gas Giant's size, it is but a speck in the grand tapestry woven by the gods, serving as a reminder of the boundless creativity of Hephaestus.
- Poseidon's Tridents and Exoplanet-4768: Deep within the Ice Giant Exoplanet-4768, under a perpetual twilight sky cast by its Yellow Dwarf star, there is an ocean of liquid diamonds. It is within these depths that Poseidon, the god of the sea, forges his celestial tridents. Each trident is imbued with the essence of the planet, granting it the power to stir the cosmic oceans and command the interstellar tides. Legend has it that the tridents lay in a hidden vault guarded by creatures born of the stars, loyal only to Poseidon himself.
- Athena's Gaze from Star-0305: The Neutron Star, Star-0305, radiates with a wise and unwavering light, reminiscent of the goddess Athena's piercing gaze. From its venerable age of 4.38 billion years, it has watched over civilizations and guided travelers of the cosmos. Situated more than a thousand light-years from Earth, it shines as a beacon of knowledge and strategy. It is said that those who fall under the star's light are blessed with a fraction of Athena's wisdom, guiding them through the trials of life and war.
- Demeter's Orchard and Mars: Mars, known for its red and rocky surface, holds within its core a secret orchard created by Demeter, the goddess of the harvest. Shielded by the planet's dusty storms, this orchard blooms with ethereal fruits that ripen over centuries, encapsulating the essence of the seasons. Every 1.88 Earth years, the orchard comes into perfect alignment with the Sun, and its fruits emit a celestial glow, bestowing fertility and abundance across the nearby realms. It is a cosmic testament to Demeter's endless cycle of life and her dominion over growth and renewal.
Each of these stories merges the awe-inspiring scope of space and celestial bodies with the rich tapestry of Greek mythology. Whether looking to the heavens or deciphering the mysteries of our own solar system, these myths echo the timeless influence of the gods, imbuing the stars and planets with magic and legend.
- How to upload content to your SmartChat™
- Upload content to your SmartChat™ using a link
- Supported File Types
- How to upload images to SmartChat™
- How does SmartChat™ Powerpoint (.ppt) files?
- Pro-tips for working with structured data like CSVs:
- Testing results with CSV, XML and JSON versions of structured data:
- Working with multiple CSVs:
- Working with structured CSVs alongside unstructured data: