Dataset

This dataset was created by SM

Contents

Dataset

This dataset was created by Nikita Vladimirov

Released under CC BY-NC-SA 4.0

Contents

Dataset

This dataset was created by Jay

Released under Data files © Original Authors

Contents

Context

16x112x112 tiles of images in PNG format from the PANDA prostate detection challenge.

Content

The dataset contains 16 tiles of size 112x112 for every image of the original competition dataset. The 20 images are the ones containing the most significant pixel information,

Acknowledgements

The data in this dataset was created with the following kernel: https://www.kaggle.com/fanconic/panda-20x112x112-tiles-for-efficientnetb0

Many thanks to @lafoss for the original kernel: https://www.kaggle.com/iafoss/panda-16x128x128-tiles You da real MVP!

Pregnancy determination is difficult in the giant panda (Ailuropoda melanolecua), representing a challenge for ex situ conservation efforts. Research in other species experiencing pseudopregnancy indicates that urinary/fecal concentrations of 13,14, dihydro-15-keto-prostaglandin F2α (PGFM) can accurately determine pregnancy status. Our objective was to determine if urinary PGFM concentrations are associated with pregnancy status in the giant panda. Urinary PGFM concentrations were measured in female giant pandas (n = 4) throughout gestation (n = 6) and pseudopregnancy (n = 4) using a commercial enzyme immunoassay. Regardless of pregnancy status, PGFM excretion followed a predictable pattern: 1) baseline concentrations for 11–19 weeks following ovulation; 2) a modest, initial peak 14–36 days after the start of the secondary urinary progestagen rise; 3) a subsequent period of relatively low concentrations; and 4) a large, terminal peak at the end of the luteal phase. Pregnant profiles were distinguished by an earlier initial peak (P = 0.024), higher inter-peak concentrations (P < 0.001), and a larger terminal peak (P = 0.003) compared to pseudopregnancy profiles. Parturition occurred 23 to 25 days from the initial PGFM surge and within 24 hours of the start of the terminal increase. These pattern differences indicate that urinary PGFM monitoring can be used to predict pregnancy status and time parturition in the giant panda. Furthermore, this is the only species known to exhibit a significant PGFM increase during pseudopregnancy, suggesting a unique physiological mechanism for regulating the end of the luteal phase in the giant panda.

ML Challenge Problem Statement

  Feature Extraction from Images

In this hackathon, the goal is to create a machine learning model that extracts entity values from images. This capability is crucial in fields like healthcare, e-commerce, and content moderation, where precise product information is vital. As digital marketplaces expand, many products lack detailed textual descriptions, making it essential to obtain key details directly from images. These images provide… See the full description on the dataset page: https://huggingface.co/datasets/PenguinMan/test-1.

The Panda Polarization Maintaining Fiber (PMF) market, valued at $256 million in 2025, is projected to experience robust growth, driven by the expanding demand for high-bandwidth communication networks and advanced sensing applications. The Compound Annual Growth Rate (CAGR) of 11.2% from 2025 to 2033 signifies a significant market expansion, reaching an estimated value exceeding $700 million by 2033. This growth is fueled by the increasing adoption of PMF in fiber optic communication systems requiring high polarization stability, such as coherent optical communication and high-speed data transmission. Furthermore, the rising utilization of PMF in various sensing applications, including strain sensing, temperature sensing, and current sensing, contributes significantly to market expansion. Key players like Corning, Fujikura, and YOFC are leading the market, continually innovating and investing in advanced PMF technologies to cater to the evolving needs of diverse industries. Despite the positive growth trajectory, challenges such as the high initial cost of installation and potential signal degradation due to environmental factors pose some restraints. However, ongoing technological advancements focused on improving manufacturing efficiency and enhancing the fiber's resilience are mitigating these challenges. The market segmentation, while not explicitly provided, is likely to be categorized by fiber type (e.g., single-mode, multi-mode), application (telecommunications, sensing), and region. The competitive landscape is intense, with numerous established and emerging players vying for market share through continuous product development and strategic partnerships. The forecast period of 2025-2033 presents substantial opportunities for industry participants who effectively address the market's evolving demands.

The Panda Fiber market is an emerging sector defined by its sustainable and eco-friendly approach to textile production, driven by increasing consumer demand for biodegradable and non-toxic materials. Derived from the bamboo plant, Panda Fiber is celebrated for its softness, breathability, and natural antibacterial

The Panda PM Fiber market is an emerging segment within the broader textiles and fiber industry, renowned for its sustainable attributes and versatility. As a high-performance fiber, Panda PM Fiber is primarily used in various applications, ranging from apparel and fashion to home textiles and industrial products. I

About Data

I found two datasets about converting text with context to pandas code on Hugging Face, but the challenge is in the context. The context in both datasets is different which reduces the results of the model. First let's mention the data I found and then show examples, solution and some other problems. Rahima411/text-to-pandas : The data is divided into Train with 57.5k and Test with 19.2k.

The data has two columns as you can see in the example:… See the full description on the dataset page: https://huggingface.co/datasets/zeyadusf/text2pandas.

The Panda Polarization Maintaining Fibers market has emerged as a crucial segment within the optical fiber industry, characterized by its unique ability to preserve the polarization of light passing through it. This feature is integral to various applications, particularly in telecommunications, aerospace, and medic