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Nay! read her handwriting an' thou wilt,
From her paramour's breast it fell."
The knight in silence the letter read,
Oh! the characters well he knew!
And his face might have match'd the face of the dead,
So ashen white was its hue!
Then he tore the parchment shred by shred, | poetry | poetry |
I came back late and tired last night
Into my little room,
To the long chair and the firelight
And comfortable gloom.
But as I entered softly in
I saw a woman there,
The line of neck and cheek and chin,
The darkness of her hair,
The form of one I did not know
Sitting in my chair.
I stood a moment fierce and still,
Watc... | poetry | poetry |
Takes the stage at times, and fills it --
Raise a sneer! -- his first line kills it,
Where he lives, or how, or wherefore
No one knows;
Lost his real friends, and therefore
Lost his foes.
Had, no doubt, his own romances --
Met his fate;
Tortured, doubtless, by the chances
And the luck that comes too late.
Now and then ... | poetry | poetry |
Older Sibling: Look, we're at the swing! Do you want to swing?
Child: Swing!
Older Sibling: Okay! Let me help you. Up you go! Ready? Here we swing!
Child: Wheee!
Older Sibling: Good job holding on! When it's heavy, it's harder to push, but you're light, so it's easy!
Child: Heavy?
Older Sibling: Yes, heavy is when some... | tinydialogues | dialogue |
Medha: Hi, Mrs. Johnson. I'm Medha. I was wondering if I could talk to you for a minute.
Mrs. Johnson: Of course, Medha. What's on your mind?
Medha: Well, I'm having a really hard time lately. My friends all moved away and my favorite teacher retired, so I feel really lonely and lost right now. Plus, the work in this c... | soda | dialogue |
User: Hi Emily, That's a great idea to discuss the intersection between our fields and how understanding classical mechanics can help us better understand the impact of climate change. I think that would be really interesting for the students and help them see the connections between different areas of science. I'm h... | smoltalk | dialogue |
Dillion: "Do you really think it's a good idea?"
Husband: "I don't know, it just seems like a lot of work."
Dillion: "It is a lot of work, but I think it's worth it. After all, we've been through a lot together."
Husband: "I suppose you're right. And it would be nice to have something to remember our time together by."... | soda | dialogue |
Imagine you're at home playing your favorite video game when suddenly, a message pops up saying that you can no longer play it because the government thinks it's harmful. Or maybe you love creating funny videos with your friends using face filters, but someone says those are illegal! Sounds unfair, right? That's where ... | cosmo_v2 | expository |
Older Sibling: No, no! Don't cut! Scissors are sharp. Give to me, please.
Child: Cut! My cut!
Older Sibling: Scissors not for cutting alone. Let's put back, okay? Let's play with the green toy instead!
Child: Want green! My green!
Older Sibling: First, give scissors. Then we share green toy. And look, you have water! D... | tinydialogues | dialogue |
Breyonna: Hey there. How are you feeling?
Patient: I'm feeling okay, thank you. Just a little bit nervous.
Breyonna: Don't be nervous, everything is going to be just fine. I promise. We're almost done here and then you'll be able to rest. Okay?
Patient: Okay.
Breyonna: So how has your week been?
Patient: It's been good... | soda | dialogue |
Corruption
Corruption is a system that starts out good but somehow goes wrong. The word comes from a Latin word meaning "Rotting". Corruption could be a government doing what they say is good, but instead oppress people, or an official doing something wrong. A text that is miscopied, or computer file or computer progra... | simplewiki | expository |
Did you know that in the past decade performance for computers has increased by 1000x? What exactly caused this kickstart in performance? The secret lies in huge advances within accelerated computing.
Accelerated computing can be thought of as jet fuel for computer performance. And, it's changing the future of multiple... | fineweb_edu | expository |
Dad: Hey buddy, did I ever tell you about the time I went downtown and saw a huge parade?
Child: No! What's a parade?
Dad: A parade is like a big party on the street with music and floats. People dance and celebrate.
Child: Floats? Like in the water?
Dad: No, no. These floats are big decorations on wheels. They can loo... | tinydialogues | dialogue |
Ishpeming, Michigan
Ishpeming is a city in Marquette County, Michigan, USA. As of the 2000 census, the city had a total of 6,686 people living in it. There used to be more people in the 1950s and 1960s, when the iron ore mines were in full operation.
Geography
The city has a total area of 24.0 km2 (9.2 mi2). 22.5 km2 ... | simplewiki | expository |
User: Emily, It's great to hear from you! I'm glad you're considering the importance of birds in your community garden. There are several ways you can make the garden more attractive to local bird populations: 1. Plant native species: Birds are adapted to native plants, which provide the right food sources and shelte... | smoltalk | dialogue |
Mom: Sweetie, let's feed your tummy with some yummy lunch. Look, here comes the airplane!
Child: No plane!
Mom: Okay, no airplane. How about a choo-choo train? Choo-choo into the tunnel!
Child: Choo-choo! More!
Mom: Good job! Now, let's eat some more peas. Look outside, do you see the big cloud in the sky?
Child: Cloud... | tinydialogues | dialogue |
Title: How to Achieve an Overlapping Grip in Your Golf Swing
Introduction:
An overlapping grip is one of the most common grips used by golfers of all skill levels. It's also known as the Vardon grip, named after Harry Vardon, a professional golfer from the late 19th and early 20th centuries who popularized this grip. ... | cosmo_v01 | expository |
But in another big and important place called EG country, these helpful groups are having a hard time. The leader there, let's call him Patrick, is not letting these groups do their work. Now, it seems there are only two ways for people to be in charge in EG country, and neither way is making the people happy, especial... | tinyhelen | expository |
Title: Debt of Deceit
In the gritty underworld of drugs and violence, a tale of redemption and consequence unfolds. Our unlikely protagonist, Elmo McElroy, holds a degree in pharmacology but finds himself on the wrong side of the law after being caught smoking marijuana in 1971. This mistake derails his career, leavin... | cosmo_v2 | expository |
Welcome to our latest culinary adventure! Today, we'll explore a traditional Canadian food called bannock. This delicious bread has been enjoyed for centuries by Indigenous communities across Canada and was even popular among early European explorers and settlers. So let's dive into its rich history and learn how to pr... | cosmo_v2 | expository |
Kaplan, Morton A. The Nixon Initiative and Chinese-American Relations. Edwardsville, IL: Southern Illinois University at Edwardsville, 1972.
Kraft, Joseph. The Chinese Difference. New York, NY: Saturday Review Press, 1972.
Kissinger, Henry, On China. New York, NY: Penguin Books, 2012
Kissinger, Henry. The White House Y... | fineweb_edu | expository |
**Unit Title:** I. Warm-Up Adventure: Meet the Time Travel Twins!
**Learning Goal:** To explore and identify different types of messages in presidential TV ads through a fun and interactive adventure with time travel twins, Timmy and Tina!
**Time Needed:** Approximately 20 minutes
* * *
Welcome aboard our magical t... | cosmo_v01 | expository |
It was a chilly winter evening in Brussels, 1680. Jean, a young man from the Meuse valley, huddled around a small fire outside his humble abode. He pondered the impending problem - another harsh winter meant no fishing, which formed the staple diet of his family. As he stared into the flames, an idea sparked in his min... | cosmo_v2 | expository |
Title: How to Handle Your Gerbils
Handling gerbils can be a fun and rewarding experience, but it's important to do so correctly to ensure the safety and well-being of both you and your pet. This comprehensive guide will take you through all the necessary steps and considerations when learning how to handle your gerbil... | cosmo_v01 | expository |
Older Sibling: No, no, you gotta use the fork. Pick it up like this.
Child: No fork! Use hands!
Dad: We need to use the fork to eat our peas. It's how we stay clean.
Child: No clean! Hands!
Older Sibling: But if you use the fork, you can be like a big kid. See, I'm doing it.
Child: Big kid?
Dad: Yes, big kids use forks... | tinydialogues | dialogue |
Adam wrote a story about a house in DE city where people who have made mistakes stay when they are trying to do better. People keep sending messages about his story. Some messages are from people who work at these special houses. Many of them don't like the way the big company from NJ state that runs the house works. O... | tinyhelen | expository |
Older Sibling: Look, see the new lawn mower? It's orange!
Child: O'ange!
Older Sibling: Yes, orange! Daddy bought it to cut the grass. Vroom, vroom!
Child: Buy?
Older Sibling: Uh-huh, buy means Daddy gave money to get the lawn mower. We use it to make the grass short and nice.
Child: Grass!
Older Sibling: Right, the gr... | tinydialogues | dialogue |
I try to imagine our dark-skinned DA reacting to Liam's words. "What did you tell him?"
"I told him I'm handling this the same way I would any other situation. But I'm not sure he's wrong."
"Have you ever seen something like this before?"
"No, never. Have you?"
"Once I did. But it was not the same. The doctor was s... | tinyhelen | expository |
**Course Unit: Panzanella - A Taste of Italy in Your Kitchen**
Welcome to our cooking adventure! Today, we're going to learn about a delicious Italian salad called Panzanella. Imagine taking a bite of fresh vegetables, juicy tomatoes, crusty bread, and a burst of flavors that will transport you straight to Italy! Don'... | cosmo_v2 | expository |
I've always grown up Catholic, attending Mass every Sunday with my family and going to catechism classes after school. My parents instilled in me the importance of faith and good works as a way to get closer to God and secure our place in heaven. So, like any devout Catholic, I did what was expected of me - went to con... | cosmo_v2 | expository |
Grandparent: Be careful with that ball, don't hit it too hard or it might fly over the fence.
Child: But I want to hit it up to the sky!
Grandparent: The sky is very high up. If you hit the ball too hard, it could get lost.
Child: No, it won't! I'll hit it and catch it first!
Grandparent: Remember the last time you hit... | tinydialogues | dialogue |
Chapter 9: Organ Transplants - A Second Chance at Life
Have you ever heard of someone getting a new heart, liver, or kidney? These are all types of organ transplants! An organ transplant is when doctors remove an unhealthy organ from your body and replace it with a healthy one from another person. This can give people... | cosmo_v2 | expository |
None can than Heaven such glorious shape contain;
Since, by descending from the thrones above,
Those happy places thou hast deigned a while
To want, and honour these, vouchsafe with us | poetry | poetry |
Mom: Okay, sweetie, it's time to eat your lunch. Look, we have yummy peas today!
Child: No! Bottle!
Mom: But you need to eat your peas. They're good for you and make you strong.
Child: No peas! Want bottle!
Mom: I know you love your bottle, but you're a big kid now. Big kids try new foods.
Child: No big! Bottle!
Mom: H... | tinydialogues | dialogue |
In the height of the pandemic, I found myself scrolling through Reddit, looking for ways to alleviate my boredom. One thread on r/AskReddit caught my eye - "what niche interest has brought you an incredible amount of joy?" As a lover of all things obscure, I was intrigued.
One response stood out amongst the rest - a u... | cosmo_v2 | expository |
Bibiana: I was really looking forward to starting my new project, but it's been delayed. I'm feeling upset because I was really looking forward to getting started on it.
Sarah: What's the project?
Bibiana: I was going to start a blog about fashion.
Sarah: That sounds like a great idea! Why is it being delayed?
Bibiana:... | soda | dialogue |
In the heart of a bustling town, there sat a small clothing store called Fashion Central. One sunny afternoon, Mr. Smith, the friendly shopkeeper, greeted a customer with a warm smile.
"Good afternoon, sir! Welcome to Fashion Central. How may I assist you today?" asked Mr. Smith.
The man replied, "Hi there! I'm searc... | cosmo_v2 | expository |
Andrez: Hi, Mrs. Nguyen. I was hoping I could talk to you for a minute about the upcoming test.
Mrs. Nguyen: Of course, Andrez. What do you need help with?
Andrez: I'm just struggling to understand some of the material and I want to make sure I'm doing everything I can to be prepared. Can you walk me through it again?
... | soda | dialogue |
Dad: Look, we have Cheerios for breakfast!
Child: Cheerios!
Dad: Yes, yummy Cheerios! They are yellow and round. Can you say yellow?
Child: Yellow!
Dad: Good job! Now, we need to get them into your bowl. Can you help Daddy push the bowl closer?
Child: *Reaches out and pushes the bowl towards Dad*
Dad: Great pushing! No... | tinydialogues | dialogue |
Chapter Title: Healthy Snacking for Diabetes Management
Lesson Introduction:
Hey there! Have you ever heard about diabetes? It's a condition where people have too much glucose (a type of sugar) in their blood. This happens when our bodies don't produce enough insulin or use it well. Insulin is like a key that opens do... | cosmo_v2 | expository |
At RU School, when big kids or grown-ups want to join after being at a different school, they get a special letter through email that talks about what they learned before. This letter comes after RU School gets all their important school papers. If they say "yes" to joining RU School, they get another letter to check w... | tinyhelen | expository |
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This Matho Activity covers writing an equation of a line given the slope and y-intercept, given two points, given a point and the slope, given a table, and given an x and y intercept. Undefined and zero slop... | fineweb_edu | expository |
Hanuman
Hanuman is one of the most popular gods of Hindus. He is also known by other names like Hanumata. His mother's name was Anjana. Based on her mother's name, Hanuman is sometimes called Anjaneya, that is, one born of Anjana. His father's name was Kesari.
He is blessed by Vayu as the god of winds. Hanuman's image ... | simplewiki | expository |
Arihanna: Mom, I'm so sorry. I didn't mean to set the sprinklers off.
Mother: What were you doing out there anyway? You know you're not supposed to be playing in the sprinklers.
Arihanna: I know, but I couldn't help it. They looked so tempting and I just wanted to cool off for a bit. But then the water got too cold and... | soda | dialogue |
There has always been a gap between the capabilities of men and machine. While computers were able to perform complex multiplications or store large amounts of data, humans beat them on rather intuitive tasks like natural language or perception. The research area of Artificial Intelligence (AI) aims to bridge this gap ... | fineweb_edu | expository |
Grandparent: Sweetie, let's clean up these toys. Can you put the blocks in this box for me?
Child: Okay, Grandma! I can do it!
Grandparent: Great job! Now, let's see if the game fits in there too. Can you try?
Child: This game? It's big!
Grandparent: Yes, that one. If we put it on the side, it might fit just right.
Chi... | tinydialogues | dialogue |
Lesson: Introduction to Comparison Shopping
**Self-Taught Lesson in Markdown Format**
Section 1: What is Comparison Shopping?
Comparison shopping is the process of comparing prices and features of products sold by different retailers to find the best deal. It is an essential skill that helps people save money and mak... | tiny_textbooks | expository |
Chapter 6: Aristotle's Awesome Arguments - Understanding Logic
Hello there! Welcome back to our journey into philosophy and learning about some of history's greatest thinkers. Today, let's explore Aristotle's contribution to logic - something you might use every day when trying to figure things out! We promise it'll b... | cosmo_v2 | expository |
Chapter 10: Journey Through the Universe
Have you ever looked up at the night sky and wondered about the stars, planets, and everything else that's out there? Well, let's embark on an incredible journey through the universe and learn how it all began!
Our story starts billions of years ago when the universe was just ... | cosmo_v2 | expository |
Tommy: Hey, Ileana. I'm really glad we had a chance to get to know each other better. I feel like I understand you a lot more now.
Ileana: Yeah, me too. I'm glad we're friends.
Tommy: So, what do you like to do for fun? What are your hobbies?
Ileana: Well, I like reading and spending time with my family. My mom is from... | soda | dialogue |
Assistant: Of course! Here are a few quick stretches you can do at your desk to release tension in your body: 1. Neck rolls: Gently roll your head to one side, so your ear comes towards your shoulder, then slowly roll to the other side. Repeat several times. 2. Shoulder shrugs: Bring your shoulders up towards your ea... | ultrachat | dialogue |
Automobili Turismo e Sport
ATS (Automobili Turismo e Sport, which roughly translates in English to "Tourism and Sports Cars") was an Italian car maker and briefly, a constructor in Formula One. The team ran in F1 in 1963, and made cars from 1963 to 1965. The company was founded by Carlo Chiti and Giotto Bizzarrini, int... | simplewiki | expository |
From an early age, children are told by their parents to go to bed early and get a good night's sleep. But, why is this? Why do humans need to sleep? And why does sleep seem even more important when you're sick or injured? In this article, these basic questions about sleep will be answered and we'll discuss tips to ens... | fineweb_edu | expository |
Babysitter: Hey sweetie, are you feeling sleepy? You're rubbing your eyes.
Child: Sleepy.
Babysitter: Let's have a little snack before nap time, okay? I've got your favorite dish here.
Child: Dish?
Babysitter: Yes, your dish with banana slices. Do you think bananas are yummy?
Child: Nana yummy!
Babysitter: That's right... | tinydialogues | dialogue |
One day, a cheerful girl named Sally went to the museum with her mom. They saw big dinosaurs, pretty rocks, and old things. Sally liked the museum a lot. She had a red ball that she took everywhere. She liked to bounce it and catch it. In the museum, Sally saw a big dinosaur bone. She wanted to play with her ball near ... | tinystories | narrative |
Aariz: Hey, Dad. I'm leaving today.
Dad: Where are you going?
Aariz: I don't know yet. I just feel like I need to get out there and see what's out there. There's so much world to explore and so many adventures to be had.
Dad: That sounds like a great idea, but are you sure you're ready for this? It's a big world out th... | soda | dialogue |
Orne
The Orne (61) is a department in France. It is in the Normandy region. Its prefecture is Alençon and its sub-prefectures are Argentan and Mortagne-au-Perche. The department's name comes from the river Orne which flows through it.
History
The Orne was one of the original 83 departments created in 1790.
Geography
... | simplewiki | expository |
Zya: I'm so sorry Kinsleigh. I made a mistake and I feel really guilty.
Kinsleigh: What happened?
Zya: Well, I was in front of you when I did it and I know that you must have seen.
Kinsleigh: Oh, don't worry about it. Everybody makes mistakes sometimes.
Zya: But this one felt really bad because it could have hurt you. ... | soda | dialogue |
Welcome to our Study Aids section! Today we're going to dive into Error Analysis Techniques - tools used by experts to learn from their mistakes and improve their skills. We'll explore how this concept can help us become better learners and even aces at any subject we choose!
Imagine if every time you made a mistake w... | cosmo_v2 | expository |
Chapter 9: Keeping Your Car Running Smoothly - Suspension and Steering Systems
Have you ever been in a car when it hit a big bump in the road? What happened? Did the car bounce around or maybe even swerve a little bit? That's because every vehicle has something called a suspension and steering system that helps keep i... | cosmo_v2 | expository |
Quetzalli: I was walking through the forest and I saw this big, furry creature. It was so cool!
Friend: What did it look like?
Quetzalli: It was about the size of a bear, but it had long fur and a long snout.
Friend: That doesn't sound like any animal I've ever heard of. Are you sure you saw it?
Quetzalli: Of course I'... | soda | dialogue |
One day, a girl named Mia went for a walk in the park. The park had a modern playground with a big slide and swings. Mia loved to play there with her friends. As she walked, she saw a mist near the lake. It looked like a soft cloud on the ground. Mia saw her friend Tom near the mist. Tom was sad because he had a tear i... | tinystories | narrative |
Aviana: Sarah, we need to talk.
Sarah: What's wrong? You've been acting strange all day.
Aviana: I'm not sure how to say this, but I think I'm having a mid-life crisis.
Sarah: Oh, Aviana, you're not even close to middle age. What would make you think that?
Aviana: I'm just not sure what I want to do with my life. I fee... | soda | dialogue |
Mama and Jack were shopping at the store. Jack couldn't reach the things on the shelves, so Mama had to help him. Mama found something that was just an inch too big for Jack. She looked around and found a safe one that was the right size. Jack was excited. He clapped his hands and said, "Yay!" Mama smiled and gave him ... | tinystories | narrative |
In a big book about fun places to visit, the city of Manchester got a big thumbs up! It's in a list of top cities to see, sharing space with famous spots like Rome and Mumbai. One cool place to see in Manchester is the MA Craft & Design place. It's on a list of must-see spots for anyone visiting the city.
Manchester i... | tinyhelen | expository |
Mysteriously, a spaceship landed in the middle of a park one sunny afternoon. Out of it came a group of friendly aliens with big, silly heads. They didn't know how to play Earth games but wanted to join in. The kids showed them how to play tag. The aliens tried very hard but kept tripping over their own feet!
As the g... | simplestories | narrative |
Sascha: John, I'm pregnant.
John: What? Are you serious?
Sascha: Yes, I'm sure. I took a test this morning and it came out positive.
John: This is amazing! We're going to be parents!
Sascha: I know, it's so exciting! I can't wait to meet our little one.
John: Neither can I. We're going to have to start making some chan... | soda | dialogue |
By 5n4Po3tUb4P15i. English Worksheets. At Tuesday, November 19th 2019, 15:55:45 PM.
In first grade it is essential that your child begin basic math facts. Most schools do a good job at starting basic math facts. From second grade to third, you need to ensure that your child becomes an expert on adding, subtracting, mul... | fineweb_edu | expository |
Keziah: I don't know what to do, Sarah. He's been acting really possessive and controlling lately and I don't like it.
Sarah: Yeah, that doesn't sound like a healthy relationship. Have you talked to him about it?
Keziah: I've tried, but he doesn't listen. He just gets mad at me and says I'm overreacting.
Sarah: Well, i... | soda | dialogue |
Kavya: Dad, I've made up my mind. I'm going to climb to the top of Mount Everest.
Dad: Kavya, you know that's something you've always wanted to do. And now you're finally going to do it?
Kavya: Yeah, I am. I'm going to start training for it tomorrow.
Dad: Kavya, are you sure about this? It's a lot of work and it's very... | soda | dialogue |
Mom: Hey sweetie, we saw a dog today. A big dog!
Child: Dog?
Dad: Yes, a dog! We went for a walk and there was a dog.
Child: Walk dog!
Mom: The dog was playing and got all dirty.
Child: Dirty dog!
Dad: The dog was running and jumping. So much fun!
Child: Fun!
Mom: But then, the dog needed a bath.
Child: Bath?
Dad: Yes,... | tinydialogues | dialogue |
One day, a playful cat named Tom was walking in the park. He saw a big tree and wanted to climb it. Tom jumped and held onto the tree with his paws. He climbed up high and saw a big bird on a branch. The bird was singing a happy song. Tom wanted to make a print of his paw. He found some wet mud near the tree. He put hi... | tinystories | narrative |
I've always been passionate about sustainability and taking care of our planet. So when it came time for me to buy a new mattress, I knew I wanted something eco-friendly. That's how I stumbled upon The Green Sleep - their beds and linen are eco-certified, made out of pure latex, organic wood, and cotton. Plus, they rec... | cosmo_stories | narrative |
Niles: Hey, can I talk to you for a second?
Teacher: Sure, what's up?
Niles: I'm having a lot of trouble in your class. I don't understand what you're saying and I can't keep up with my classmates.
Teacher: That sounds like a tough situation. Let me see if I can help. First of all, have you been coming to class regular... | soda | dialogue |
Newfoundland dog
The Newfoundland is a large breed of dog that originated in Newfoundland. They were first used by fishermen and sailors to carry goods and would jump overboard to save people from drowning. Newfoundlands are great swimmers because of their waterproof fur, their webbed feet and their strong muscles.
Th... | simplewiki | expository |
One day, a bunny named Bob found a yummy carrot. He was very happy. He took the carrot to his home. But, when he got there, his carrot was gone! He was sad. Bob went to his friend, Sue the squirrel. He told her, "My yummy carrot is gone. Can you help me find it?" Sue said, "Yes, I will help you." They looked all around... | tinystories | narrative |
Now that we've covered squaring binomials of the form , it's time to explore another type of special product: the difference of squares. This form looks like this: . You might notice that this is similar to the formula for the product of two binomials, but with opposite signs between the terms inside the parentheses. L... | cosmo_v01 | expository |
Vegetable
Fermentation is another method of preserving vegetables for later use. Sauerkraut is made from chopped cabbage and depends on lactic acid bacteria which make compounds that stops other micro-organisms from growing.
High levels of both sugar and salt can preserve food by stopping micro-organisms from growing. ... | simplewiki | expository |
Whimsically, Anne wrote a letter to her friend, telling a story about a magical snowman. She imagined a snowman that came to life every night and danced under the moon. Her friend loved the idea and wrote back with their own tale of a snow queen.
They exchanged letters full of stories, creating a world of winter magic... | simplestories | narrative |
Ariela: Sarah, what is that awful smell? It's making my stomach churn.
Sarah: Oh, that's just the smell of the garbage. The city workers haven't come to pick it up in a few days, so it's starting to rot.
Ariela: Ugh, that is disgustingly! How can you stand to be near it?
Sarah: Well, I'm used to it. But I can see how i... | soda | dialogue |
"Hey, I'm moving to New York City next month," Sarah excitedly announced to her friend Emily over coffee. "I can't wait to experience all the excitement and culture, but I'm worried about the costs."
Emily, who had been living in the city for several years, smiled sympathetically. "It can definitely be pricey, but the... | cosmo_stories | narrative |
Lila liked to play with her mom's bracelet. It was shiny and had many colors. She wanted to wear it all the time, but her mom said no. She said the bracelet was very old and weak. It could break easily if Lila pulled it or dropped it. One day, Lila saw the bracelet on the table. Her mom was not in the room. Lila though... | tinystories | narrative |
Chapter Title: Unraveling Mysteries: How Thinking Has Evolved Through History
Have you ever tried to solve a puzzle? Maybe it's one with pieces that fit together, or perhaps it's a riddle someone has challenged you to figure out. People have been trying to solve mysteries like these for thousands of years! And just as... | cosmo_v2 | expository |
User: This entry was posted in Ricoh Theta and tagged Ricoh Theta 360 4K Camera. Bookmark the permalink. Trackbacks are closed, but you can post a comment. Can you suggest other similar 360-degree cameras?
Assistant: Yes, there are several similar 360-degree cameras on the market: 1. Insta360 One X2 2. GoPro Max 3. So... | ultrachat | dialogue |
Invisibility is a funny thing. An explorer named Mia found a small, shiny stone while walking in the woods. The stone sparkled and made her feel strange. Suddenly, she could not be seen! Mia giggled and jumped with joy. She wanted to see what fun she could have.
Mia ran to the village. She peeked into houses and saw f... | simplestories | narrative |
Logen: Joe, I did something really stupid.
Joe: What happened?
Logen: I was walking around the apartment complex and I saw a glass on the ground. So, I decided to break it in two for no reason.
Joe: Why would you do that?
Logen: I don't know. It just seemed like a good idea at the time. But now I'm worried that someone... | soda | dialogue |
Title: Understanding Asteroids and Their Role in Astrology
Have you ever heard someone say they are a Leo, or a Virgo, based on their birthday? That's because of something called astrology! People have been using astrology for thousands of years to try and understand themselves and others better. It's a fascinating wa... | cosmo_v2 | expository |
Than he on whom men weneth best to triste?
`What shal I doon, my Pandarus, allas!
I fele now so sharpe a newe peyne,
That bet were it I with myn hondes tweyne
My-selven slow, than alwey thus to pleyne.
For through my deeth my wo sholde han an ende,
Ther every day with lyf my-self I shende.'
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1920
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tinymix
Small, genre-balanced English pretraining corpora in three sizes (about 1M, 10M and 100M words), built for training very small language models. The mix combines synthetic child-level stories and dialogue, simplified real text, encyclopedic and didactic text, books, poetry and news, all filtered toward clear, self-contained documents. It is inspired by TinyStories, SimpleStories, TinyHelen and the BabyLM challenge.
What is different from using those datasets directly:
- Several kinds of text in one mix (narrative, dialogue and chat, expository, books, poetry, news), not only stories or only conversations.
- Three sizes built with the same recipe, with complexity limits that grow with size.
- No non-commercial sources. TinyChat (CC-BY-NC) and the BabyLM corpus (no clear license, includes subtitle and child-speech data) were left out on purpose.
- Provenance per document (
source,genre) and validation splits per genre, to see which kind of text a model is weak at. - The whole pipeline is included (
code/) and every filter decision is documented below.
Subsets
| Subset | Train words | Train docs | ~Tokens (BPE) |
|---|---|---|---|
1M |
1.0M | 4,135 | ~1.3M |
10M |
9.96M | 42,117 | ~12.9M |
100M |
99.5M | 338,230 | ~129.3M |
Words are whitespace-separated words in train. Each subset also has about 0.5% of the documents per genre held out as validation_<genre> splits
(at least one document per genre; the 1M validation splits are therefore tiny, 4 to 8 documents each, and noisy).
from datasets import load_dataset
ds = load_dataset("jncarlo/tinymix", "10M") # splits: train, validation_narrative, validation_dialogue, ...
print(ds["train"][0]) # {'text': ..., 'source': 'tinystories', 'genre': 'narrative'}
Columns: text (str), source (key of the table below), genre (narrative, dialogue, expository, books, poetry, news).
Documents are independent; join them with an end-of-text token when training. Dialogues are formatted one turn per line
(Mia: ..., or User: / Assistant: for assistant chats).
Composition
Share of training words by genre:
| Genre | 1M | 10M | 100M |
|---|---|---|---|
| narrative | 38.0% | 35.0% | 21.0% |
| dialogue | 21.9% | 25.0% | 21.0% |
| expository | 40.1% | 40.0% | 48.0% |
| books | 0% | 0% | 8.0% |
| poetry | 0% | 0% | 1.0% |
| news | 0% | 0% | 1.0% |
Million words per source:
| Source | 1M (M words) | 10M (M words) | 100M (M words) |
|---|---|---|---|
| TinyStories V2 (GPT-4 split) | 0.189 | 1.494 | 7.959 |
| SimpleStories | 0.189 | 1.99 | 7.964 |
Cosmopedia v0.1, stories |
0 | 0 | 4.972 |
| TinyDialogues | 0.12 | 1.494 | 6.969 |
| SODA | 0.099 | 0.994 | 8.955 |
| UltraChat 200k | 0 | 0 | 3.974 |
| SmolTalk (everyday-conversations, smol-summarize, smol-rewrite) | 0 | 0 | 0.994 |
| TinyHelen Leaner-Pretrain (book, conversation, textbook, web, wiki) | 0.15 | 1.499 | 9.946 |
| Simple English Wikipedia (20231101.simple) | 0.1 | 0.996 | 9.951 |
| Cosmopedia v2 (SmolLM-Corpus) | 0.1 | 0.996 | 11.944 |
| Cosmopedia v0.1 (wikihow, khanacademy, openstax) | 0.05 | 0.497 | 2.984 |
tiny-textbooks (textbook column) |
0 | 0 | 3.98 |
| FineWeb-Edu (sample-10BT, score >= 4) | 0 | 0 | 8.96 |
| Project Gutenberg (English books) | 0 | 0 | 7.96 |
| Gutenberg Poetry Corpus | 0 | 0 | 0.995 |
| CNN/DailyMail 3.0.0 | 0 | 0 | 0.995 |
The 10M and 100M subsets are within about 1% of their targets (train plus validation splits). In the 10M build,
sources that could not fill their quota with the filters (Simple English Wikipedia, Cosmopedia v0.1) were topped up by
same-genre substitute sources (tiny-textbooks, Cosmopedia v2), capped per source; that is why tiny-textbooks appears
there. The 1M subset keeps the 10M proportions except that Cosmopedia stories (not in the 10M mix) were replaced by TinyStories and SimpleStories.
How it was built
- Normalisation:
ftfy, NFKC, ASCII quotes and dashes, whitespace; URLs, e-mails, phone numbers, code, LaTeX and HTML removed. Documents with any character outside ASCII, Latin-1 and Latin Extended-A letters, common punctuation and a few math symbols are rejected whole (reasoncharsetin the build stats). - Language: fastText
lid.176, English with confidence >= 0.9 (skipped for TinyDialogues, whose one-word toddler turns confuse it). - Quality heuristics: Gopher-style rules (mean word length, symbol and digit ratio, repeated lines, repeated bigrams, stop words), minimum length, complete ending (drops truncated generations), a short list of LLM tics (
delve,tapestry, ...) and an explicit-content word list. - Anti-template: no 4-word opening may exceed 0.5% of a source's documents.
- Deduplication across all sources: exact hash and MinHash LSH (5-word shingles, Jaccard >= 0.8).
- Complexity control by size (vocabulary coverage = share of lowercase tokens inside the top-N English words of
wordfreq):
| 10M | 100M | |
|---|---|---|
| Reference vocabulary | top 8k | top 15k |
| Min vocabulary coverage | 90% | 90% |
| Max Flesch-Kincaid grade (narrative, news, books) | 5 | 8 |
| Max Flesch-Kincaid grade (expository) | 9 | 10 |
| Document length | 80 to 600 words | 80 to 1200 words |
| Dialogue: mean words per turn | <= 25 | <= 40 |
Assistant chats (User: / Assistant:) may average up to 4 times the per-turn cap and need at least 2 turns (named dialogues need 4),
because summarisation and rewrite tasks have 2 turns and assistant answers are long.
Documents longer than the maximum are split at paragraph borders. The 1M subset is a prefix slice of the 10M build; 10M and 100M were built separately with the same recipe, so they are not guaranteed to be subsets of each other (a later fix to the end-of-document check, which wrongly rejected Wikipedia articles that end in a heading, was only applied to sources rebuilt for the 100M run). 7. Run safety nets (used to build the larger subsets without manual tuning): a probe per source picks a starting filter strictness, strictness relaxes in up to three logged steps when yield is too low, and shortfalls go to substitute sources.
Thresholds were calibrated on real data: the first values (95% coverage in the top 5k words, Flesch-Kincaid <= 5 for everything) accepted only 3% of SimpleStories and 0.6% of Cosmopedia v2, so they were relaxed as described above.
Sources and licensing
| Source | License | Role |
|---|---|---|
| TinyStories V2 (GPT-4 split) | CDLA-Sharing-1.0 | child-level stories |
| SimpleStories | MIT | varied simple stories |
Cosmopedia v0.1, stories |
Apache-2.0 | everyday stories |
| TinyDialogues | MIT | child-directed dialogue |
| SODA | CC-BY-4.0 | social dialogue |
| UltraChat 200k | MIT | user/assistant chat |
| SmolTalk (everyday-conversations, smol-summarize, smol-rewrite) | Apache-2.0 | chat, summaries, rewrites |
| TinyHelen Leaner-Pretrain (book, conversation, textbook, web, wiki) | MIT | simplified real text |
| Simple English Wikipedia (20231101.simple) | CC-BY-SA-3.0 / GFDL | encyclopedic, simple |
| Cosmopedia v2 (SmolLM-Corpus) | Apache-2.0 (corpus: ODC-By) | synthetic textbooks, blogs, stories |
| Cosmopedia v0.1 (wikihow, khanacademy, openstax) | Apache-2.0 | procedural and didactic |
tiny-textbooks (textbook column) |
Apache-2.0 | short synthetic lessons |
| FineWeb-Edu (sample-10BT, score >= 4) | ODC-By-1.0 | educational web |
| Project Gutenberg (English books) | Project Gutenberg License (public domain in the US) | classic books |
| Gutenberg Poetry Corpus | CC0-1.0 | poetry stanzas |
| CNN/DailyMail 3.0.0 | Apache-2.0 (articles are (c) CNN / Daily Mail) | news |
Licensing and attribution. This repository is a derivative compilation of the datasets above; each document keeps the
license of its source. Obligations that matter when redistributing or reusing it:
- Attribution is required for CC-BY / ODC-By / CDLA sources (listed above).
- The Wikipedia part (
simplewiki) is CC-BY-SA-3.0 / GFDL (share-alike). If you need a share-alike-free corpus, filter outsource == "simplewiki". - Cosmopedia, SmolTalk, UltraChat, TinyStories, SimpleStories, TinyHelen and tiny-textbooks contain model-generated text; check the terms of the generating model (GPT-4, GPT-4o-mini, Mixtral and others) for your use case.
- CNN/DailyMail articles and FineWeb-Edu web pages are third-party content; they are included under the dataset licenses above, which do not transfer rights from the original publishers.
- Project Gutenberg texts had the Project Gutenberg header and footer removed; they are public domain in the United States, check your jurisdiction.
No personal data was added; e-mails, phone numbers and URLs were removed, but residual personal information in web-derived sources cannot be ruled out.
Sanity-check training runs
Small GPTs (nanoGPT-style, own byte-level BPE trained on each training set). Each row shows its own parameter count and training tokens, so model sizes differ between rows. Scored in bits per byte (lower is better, comparable across tokenizers) on the held-out validation splits of this dataset. Baselines take the first 10M / 100M words of a single source with only ftfy cleaning. They are out of distribution on the genres they do not cover, so the table shows how much genre coverage matters, not a leaderboard. One seed, no tuning. Rows of different sizes are not comparable with each other. The 1M and 10M sets have no books, news or poetry split, hence n/a.
| Training data | Params | Train tokens | narrative | dialogue | expository | books | news | poetry |
|---|---|---|---|---|---|---|---|---|
| tinymix 1M | 9.59M | 1.71M | 1.683 | 1.830 | 2.276 | n/a | n/a | n/a |
| tinymix 10M | 9.59M | 17.18M | 0.883 | 0.875 | 1.470 | n/a | n/a | n/a |
| TinyStories only, 10M words | 17.41M | 12.05M | 1.111 | 2.512 | 2.708 | n/a | n/a | n/a |
| FineWeb-Edu only, 10M words | 17.41M | 15.71M | 1.639 | 1.769 | 1.565 | n/a | n/a | n/a |
| tinymix 100M | 46.43M | 136.82M | 0.697 | 0.697 | 0.987 | 1.349 | 1.368 | 1.819 |
| FineWeb-Edu only, 100M words | 46.29M | 142.51M | 1.331 | 1.312 | 1.215 | 1.726 | 1.670 | 2.306 |
Limitations
- Not done: perplexity filtering with an n-gram LM, LLM-judge coherence scoring, semantic deduplication, cluster caps and benchmark decontamination. Expect some residual near-duplicates and some low-quality documents.
- Some
tinyhelenchunks start mid-thought, because the simplified web and book documents are chunks of longer texts. - Synthetic sources share model-specific style and topics (names, morals, classroom settings). The anti-template cap reduces this but does not remove it.
- The toxicity filter is a short word list, not a classifier. Chat and web sources can still contain mildly sensitive content.
- English only, mostly simple modern language; it is a poor fit for models meant to handle technical, legal or archaic text.
- Word counts are whitespace words; token counts depend on your tokenizer.
Reproduce
code/ contains the build scripts (mix.py quotas and tiers, sources.py adapters, build.py pipeline, assemble.py,
publish.py, train.py for the sanity-check runs) and requirements.txt. Building a subset: python build.py 10M,
then python assemble.py 10M. The build streams the source datasets from the Hub.
Acknowledgements
Built on the work behind TinyStories, SimpleStories, TinyDialogues, SODA, UltraChat, SmolTalk and SmolLM-Corpus (Cosmopedia, FineWeb-Edu), TinyHelen, tiny-textbooks, Project Gutenberg, the Gutenberg Poetry Corpus, Wikipedia and CNN/DailyMail. Please cite the original datasets when you use this one.
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