Omkar2118/datasets huggingface dataset:
PubMed Cognitive Control Abstracts
Full name: CogText

A collection of 385,705 scientific abstracts about Cognitive Control and their GPT-3 embeddings.

Introducing paper: Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control
Books3

The **Books3 dataset** emerged as part of a broader effort to train AI models for natural language understanding and generation. It comprises an extensive collection of digitized books, spanning from classics to contemporary works. These books were gathered from various sources, including libraries and online repositories². Here are some key details about the Books3 dataset:

- **Size**: The dataset contains approximately **196,640 books** in plain text format.
- **Content**: These books cover a wide range of topics and genres, making it a diverse collection.
- **Creators**: The dataset is attributed to **Shawn Presser**, a computer researcher.
- **Purpose**: Books3 was intended for training language models, particularly for language modeling tasks.
- **Controversy**: Unfortunately, the Books3 dataset faced controversy due to unauthorized use. It included works by renowned authors such as **Stephen King**, **Min Jin Lee**, and **Zadie Smith**⁴.
- **Defunct Status**: As of now, the dataset is **defunct** and no longer accessible due to reported copyright infringement¹.

(1) The Books3 Dataset: Controversy Surrounds Unauthorized Use in AI .... https://literaryagentmarkgottlieb.com/blog/the-books3-dataset-controversy-surrounds-unauthorized-use-in-ai-training.
(2) Books3 dataset, used to train AI, contains works stolen from .... https://www.straitstimes.com/life/arts/books3-dataset-used-to-train-ai-contains-works-stolen-from-singaporean-authors.
(3) the_pile_books3 · Datasets at Hugging Face. https://huggingface.co/datasets/the_pile_books3.
(4) Anti-piracy group shuts down Books3, a popular dataset for AI models. https://interestingengineering.com/innovation/anti-piracy-group-shuts-down-books3-a-popular-dataset-for-ai-models.
(5) AIAAIC - Books3 AI training dataset. https://www.aiaaic.org/aiaaic-repository/ai-algorithmic-and-automation-incidents/books3-ai-training-dataset.
PhilPapers

**PhilPapers** is a remarkable resource for the philosophical community. Let me break it down for you:

1. **PhilPapers**: It's an **online research platform** dedicated to philosophy. Think of it as a vast library where philosophers, researchers, and enthusiasts gather to explore and contribute to the field.

2. **Comprehensive Index**: PhilPapers serves as a **comprehensive index and bibliography** for philosophy. It meticulously tracks all sources of research content in philosophy, including **journals, books, and open access archives**.

3. **Open Access Archive**: Notably, PhilPapers hosts the **largest open access archive in philosophy**. This means that a wealth of philosophical content is freely accessible to anyone interested.

4. **User-Driven**: The beauty of PhilPapers lies in its collaborative nature. It's maintained by the **community of philosophers**, which ensures that it remains up-to-date and relevant.

5. **Categories Galore**: The index contains over **2.8 million entries** neatly categorized into **5,902 topics**. Whether you're into metaphysics, epistemology, aesthetics, or any other philosophical domain, PhilPapers has you covered.

6. **Registered Users**: With a whopping **350,000 registered users**, PhilPapers fosters a vibrant exchange of ideas and scholarly engagement.

In summary, PhilPapers is like a philosophical treasure trove—a place where thinkers from all walks of life come together to explore, debate, and expand our understanding of the world. 🌟

(1) PhilPapers: Online Research in Philosophy. https://philpapers.org/.
(2) The-Pile-PhilPapers - GitHub. https://github.com/thoppe/The-Pile-PhilPapers.
(3) PhilPapers with Full Text - Philosophy Documentation Center. https://www.pdcnet.org/philpapers.
(4) Computational History of Philosophy of Science Dataset - PhilPapers. https://philpapers.org/rec/HICCHO.
(5) Search results for `Dataset` - PhilPapers. https://philpapers.org/s/Dataset.
FreeLaw

**Free Law Project** is a leading nonprofit organization that aims to make the legal ecosystem more equitable and competitive through technology, data, and advocacy. Here are some key aspects of their work:

1. **RECAP Suite**: This suite helps you liberate and work with court documents. If you use **PACER**, you can install the **RECAP browser extension**. Anything you purchase from PACER goes into the **RECAP Archive**, and anything someone else buys becomes freely accessible to you directly in PACER.

2. **Docket Alerts**: Get alerts when federal dockets are updated by their data gathering systems.

3. **X-Ray Redaction Detector**: This tool helps find bad redactions at scale, preventing them from affecting your firm's reputation.

4. **Webhooks for PACER**: Automate your workflow by listening to notifications from PACER and CourtListener.

5. **CourtListener**: Their archive of legal opinions, filings, judges, and judicial financial records. It has the largest free collection of federal court documents and dockets on the Internet.

6. **Opinions Database**: CourtListener houses an extensive collection of searchable orders and opinions from state and federal courts.

7. **Deep Judge Data**: They are creating a groundbreaking database of American magistrates, judges, and justices, including detailed biographical information and over a million disclosure records.

8. **RECAP Archive**: Every docket and PDF they have is fully searchable in the RECAP Archive on CourtListener.

9. **Oral Arguments**: They host the biggest collection of oral argument audio in the world, making it accessible online or via custom podcasts.

10. **APIs and Bulk Data**: Free Law Project provides automated access to nearly all the data they host via APIs, bulk data files, and database replication.

11. **Case Bots**: Their bots send case updates to various chat platforms, keeping you informed about specific cases.

In summary, Free Law Project's initiatives contribute to transparency, accessibility, and innovation in the legal field. You can explore more about their work on their [website](https://free.law/)¹.

(1) Home | Free Law Project | Making the legal ecosystem more equitable and .... https://free.law/.
(2) Bulk Legal Data – CourtListener.com. https://www.courtlistener.com/help/api/bulk-data/.
(3) Free Law Project · GitHub. https://github.com/freelawproject.
(4) The Pile -- FreeLaw (refined by Data-Juicer) - modelscope.cn. https://www.modelscope.cn/datasets/Data-Juicer/the-pile-freelaw-refined-by-data-juicer/.
MIT-BIH Malignant Ventricular Ectopy Database (VFDB)

This database includes 22 half-hour ECG recordings of subjects who experienced episodes of sustained ventricular tachycardia, ventricular flutter, and ventricular fibrillation. The reference annotation (.atr) files contain only rhythm labels (no beat labels).
AF Classification from a Short Single Lead ECG Recording - The PhysioNet Computing in Cardiology Challenge 2017

The 2017 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify, from a single short ECG lead recording (between 30 s and 60 s in length), whether the recording shows normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.