Datasets:

motionlabs
/

fineweb-ultra-mini-pro

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A tsunami is a series of waves most commonly caused by violent movement of the sea floor. In some ways, it resembles the ripples radiating outward from the spot where stone has been thrown into the water, but a tsunami can occur on an enormous scale. Tsunamis are generated by any large, impulsive displacement of the se...	4.876635
Simple Equations Introduction to basic algebraic equations of the form Ax=B ⇐ Use this menu to view and help create subtitles for this video in many different languages. You'll probably want to hide YouTube's captions if using these subtitles. - Let's say we have the equation seven times x is equal to fourteen. - Now b...	4.803062
3rd Grade Oral Language Resources Students will:• Learn about the concept of making journeys. • Access prior knowledge and build background about different ways to make journeys. • Explore and apply understanding of the concept of making journeys. Students will:• Demonstrate an understanding of making journeys. • Orall...	4.721492
Cross Contamination of Food - It is important for students to know how to be safe when they are cooking. In this lesson students will review what they know about cross contamination and ways they can help prevent it. Healthy or Not Healthy - Students have to make choices every day about what they eat. Helping them thin...	4.708643
Recall 1. In the past we put quadratic equations in the form y = ax2 + bx + c. This makes the equation look nice and become more readable. For the purposes of graphing, we would rather alter this form slightly. Recall that we represented lines in standard form as y = mx + b. Then we were able to read the critical infor...	4.895547
Key Fact 3: There are a number of basic food skills which enable us to cook a variety of dishes. a) To understand that there is a range of basic cooking skills. Explain to the children that we need certain skills to be able to make snacks and meals. Ask them to recall some of the skills they used last session when maki...	4.74712
\| The Civil Rights Act July 2, 1964 The three Civil War Amendments to the Constitution - the 13th, 14th and 15th - were designed not only to end slavery, but also to secure blacks all the rights and privileges exercised by whites. However, these supposed guarantees were far more notorious in the breach than in the obse...	4.7129
After the Civil War, Congress championed the cause of newly freed African Americans by enacting the Thirteenth, Fourteenth, and Fifteenth Amendments to the Constitution. The Thirteenth Amendment abolished slavery. The Fourteenth Amendment provided citizenship and equal protection under the law. The Fifteenth Amendment ...	4.790338
Since we often see exponents throughout all math courses, it is important to understand the rules of exponents. We need to understand how to distribute, add, multiply and divide exponents in order to simplify expressions or manipulate equations that have exponents. The rules of exponents, like those involving multiplic...	4.820379
Students engage in several online simulations and in-class investigations related to the density of liquids, solids, and gases. They apply new understanding about density to the design and construction of hot air balloons. They make informed predictions about the variables that may affect the launch of their homemade h...	4.852394
Comprehension Skills, Strategies & Best Practices This module explores comprehension strategies and their benefits. Examine descriptions of each type of comprehension strategy, instructional implications for teaching comprehension, and sample lessons. Although word recognition, decoding, and fluency are building blocks...	4.70965
Lesson 1: Probability Basics In this lesson, students use the flipping of a coin to understand the relationship between probability and real-word outcomes. They also practice using diagrams, tables, and the fundamental counting principle to calculate probability. - Students will understand that probability can be expre...	4.868611
MATHEMATICS OF FAIR GAMES Grades 4 - 5 The students will learn about mathematicians' notion of fairness in games of chance. They will work in pairs to perform three different experiments using macaroni and paper bags. They will record their results on charts to compare data and make conjectures regarding the role that ...	4.71441
In this chapter rotational motion will be discussed. Angular displacement, angular velocity, and angular acceleration will be defined. The first two were discussed in Chapter 5. Angular Displacement: The symbol generally used for angular displacement is θ pronounced "teta" or "theta." θ is the angle swept by the radius...	4.814847
Reading to Learn: Comprehension Strategies Rationale: In order to gain insight while reading one must be able to comprehend. However, students often fail to comprehend (and remember) what they have read. Because of this, teachers have been given comprehension strategies that can be taught to children in order to give t...	4.727191
In this lesson, students will learn about choices and opportunity costs that occur every day. While this lesson will go on throughout the day, the actual lesson is short. - Keep a class list, noting the choices made as a class throughout the day as well as what was given up to make those choices. - Complete a printable...	4.710472
The 15th Amendment, granting African-American men the right to vote, was formally adopted into the U.S. Constitution on March 30, 1870. Passed by Congress the year before, the amendment reads: "the right of citizens of the United States to vote shall not be denied or abridged by the United States or by any State on acc...	4.809526
Elements of Language: 8th Grade - The Phrase (Ch. 14) About this resource \|\|5.0 (1 votes) \|\|Feb 05, 2009\| [FROM THE TEXT] A “phrase” is a group of related words that is used as a single part of speech and that does not contain both a verb and its subject. A “prepositional phrase” includes a preposition, the object of t...	4.724691
In this lesson our instructor talks about conditional statements. She talks about if then statement and other forms such as without then, using when, and hypothesis. She discusses identifying the hypothesis and conclusion. She then teaches writing in if then form. She also talks about converse statements , converses an...	4.724667

Dataset Card for Fineweb Ultra Mini

Fineweb Ultra Mini is a dataset derived from the original Fineweb dataset made by huggingface (see here: https://huggingface.co/datasets/HuggingFaceFW/fineweb). The dataset focuses on extracting high quality data from the Fineweb dataset, from the 1-0.5% range. If you would like more data, though slightly sacrificing quality check out fineweb ultra mini, which focuses on the 2-3% of high quality data originally found in fineweb.

Dataset Details

Dataset Description

Below outlines the steps which were taken to curate this dataset:

Data Source: The original FineWeb dataset from Hugging Face.
Filtering: A text classification model was trained on H100s to identify the top 2-3% of documents.
Data Preparation: The selected documents were processed to ensure consistency and quality.
Dataset Creation: The filtered and processed data was organized into the Hugging Face dataset format.

Curated by: ReflexAI Open Source Engineering Team
Funded by: Modal Grant Program
Language(s) (NLP): English (more coming soon)
License: odc-by

Intended Uses

The fineweb-ultra-mini dataset is intended for a variety of natural language processing tasks, including:

Language Modeling: Training large language models on high-quality text data.
Text Summarization: Extracting key information from web documents.
Question Answering: Answering questions based on the information in web documents.
Text Classification: Categorizing web documents based on their content.

Out-of-Scope Use

Commercial Use

Commercial use is permitted under the ODC-By (Open Database License - Attribution) license, allowing individuals and organizations to use, modify, and distribute the dataset for commercial purposes, provided they comply with the attribution requirements. This includes using the dataset in commercial products, services, research, or any other profit-generating activity.

However, it is important to highlight the following limitations and conditions: 1. Attribution Requirement: Any use of the dataset, including commercial use, must provide proper attribution to the original creators of the dataset. This attribution must be clear and visible in any products or services that incorporate the dataset. 2. Redistribution and Derivative Works: While derivative works (e.g., modified versions of the dataset) are permitted, they must also adhere to the attribution requirement. Moreover, any redistribution of the dataset must include the same ODC-By license to ensure that others are also informed of these conditions.

Unethical Activities

Despite the commercial use allowance, certain activities involving the dataset remain strictly out of scope due to ethical concerns. These include, but are not limited to: 1. Data Manipulation for Malicious Purposes: Using the dataset to manipulate or fabricate data in a way that misleads or harms individuals, communities, or organizations, including but not limited to creating deep fakes, misinformation, or defamation. 2. Surveillance and Privacy Violations: Using the dataset for surveillance activities or any practices that infringe on the privacy rights of individuals, including profiling, tracking, or unauthorized data collection, is strictly prohibited. 3. Discriminatory or Harmful Practices: Employing the dataset in ways that may promote or perpetuate discrimination, hate speech, violence, or any other harmful practices, including using the data to reinforce or exacerbate biases. 4. Violation of Laws and Regulations: Any use of the dataset that violates local, national, or international laws, such as engaging in illegal surveillance or using the dataset in activities prohibited by data protection and privacy laws, is not allowed.

By adhering to these guidelines, users of the dataset can ensure its ethical and responsible use while contributing positively to commercial endeavors and research.

Bias, Risks, and Limitations

Bias

Datasets often reflect the biases inherent in the data collection process, sources, or the methodology used in their creation. It is crucial to be aware of the following potential biases in the dataset: 1. Selection Bias: The dataset may not be fully representative of the entire population or domain it is intended to represent. Certain groups or perspectives might be overrepresented or underrepresented, which can lead to skewed outcomes when the dataset is used in analysis, modeling, or training AI systems. 2. Cultural Bias: If the dataset is sourced from a particular cultural or geographical context, it may carry cultural biases that are not universally applicable. For example, language use, social norms, and values represented in the data may not align with those of different cultures or regions. 3. Algorithmic Bias: When the dataset is used in machine learning or algorithmic processes, any existing biases in the data can be amplified or perpetuated by algorithms, potentially leading to discriminatory or unfair outcomes in automated decisions or predictions.

Risks

The use of this dataset carries several risks that users should be aware of, especially when deploying the data in real-world applications or commercial products: 1. Model Performance Risks: If the dataset is incomplete, imbalanced, or biased, it may result in inaccurate or unreliable models. This can impact decision-making, predictions, or analysis, especially in critical sectors such as healthcare, finance, or legal systems. 2. Reinforcement of Existing Inequalities: When used to train models or systems, biased datasets can reinforce existing societal inequalities. For example, models trained on biased data can inadvertently perpetuate stereotypes or exacerbate disparities in areas such as hiring, lending, and law enforcement. 3. Reputation Risks: Misuse or unethical use of the dataset may lead to reputational damage for both individuals and organizations. Public backlash can arise if the dataset is used in ways that are perceived as discriminatory, harmful, or unethical. 4. Legal and Regulatory Risks: Depending on the dataset’s content and intended use, there may be legal risks associated with its use, especially when dealing with sensitive or personally identifiable information (PII). Users should be cautious of potential violations of data privacy laws, including GDPR or CCPA, and ensure compliance with relevant regulations.

Limitations

While the dataset provides valuable insights and utility, it is important to recognize its inherent limitations: 1. Scope and Completeness: The dataset may not cover all aspects of the domain it represents, leaving gaps that could affect its applicability in certain contexts. Users should assess whether the dataset aligns with their specific use case and complement it with additional data if necessary. 2. Quality and Accuracy: The accuracy of the dataset may vary, and errors, inconsistencies, or outdated information could impact its reliability. It is essential to validate the dataset before using it in high-stakes applications. 3. Generalization: Models trained on the dataset may struggle to generalize well to new or unseen data, especially if the dataset is narrow in scope or lacks diversity. Overfitting to the dataset’s specific patterns can lead to poor performance in real-world scenarios. 4. Maintenance and Updates: Datasets can become outdated over time as the world evolves. Users should be prepared to update the dataset regularly to ensure it remains relevant and reflects current trends, information, and developments in the field.

By understanding and addressing these biases, risks, and limitations, users can take a more informed and responsible approach to utilizing the dataset, ensuring its effectiveness and minimizing potential negative consequences.