ArXiv | Models | Data | Code | Blog | Sample Explorer Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Albert Q. Jiang, Jia Deng, Stella Biderman, Sean Welleck The Proof-Pile-2 is a 55 billion token dataset of mathematical and scientific documents. This dataset was created in order to train the Llemma 7B and Llemma 34B models. It consists of three subsets:

arxiv (29B tokens): the ArXiv subset of RedPajama open-web-math (15B tokens): The OpenWebMath… See the full description on the dataset page: https://huggingface.co/datasets/xavierdurawa/proof-pile-2-streaming.

Common Pile v0.1 — Parquet Consolidated

  Description

This dataset bundles all “raw” corpora from the Common Pile v0.1 Raw Data collection, converted to Apache Parquet and consolidated in a single repository. Nothing has been filtered or modified; the only changes are:

Format: original JSON → Parquet
Layout: many repositories → one consolidated dataset
Extra column: a len_category bucket for quick length-based filtering

Only the three original columns (id, text… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/raw_v.01_parquet.

Stack V2 Edu

  Description

We filter the Stack V2 to only include code from openly licensed repositories, based on the license detection performed by the creators of Stack V2. When multiple licenses are detected in a single repository, we ensure that all of the licenses are on the Blue Oak Council certified license list. Per-document license information is available in the license entry of the metadata field of each example. Code for collecting, processing, and preparing… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/stackv2_edu_filtered.

Comma v0.1 dataset

This repository contains the dataset used to train Comma v0.1-1T and Comma v0.1-2T. It is a slightly modified and consolidated version of the Common Pile v0.1 "filtered" data. If you are looknig for the raw Common Pile v0.1 data, please see this collection. You can learn more about Common Pile in our paper.

  Mixing rates and token counts

The Comma v0.1 models were trained in two stages, a "main" stage and a "cooldown" stage. During each stage, we… See the full description on the dataset page: https://huggingface.co/datasets/common-pile/comma_v0.1_training_dataset.

SEA-PILE v2

SEA-PILE v2 is a large, multilingual language modelling dataset of 120 billion tokens, sourced from a diverse array of web content. Languages supported: Vietnamese, Bahasa Indonesia, Tamil, Malay, Thai, Tagalog, Khmer, Lao, Burmese

  Summary Statistics

The total number of tokens in the dataset has been calculated using the Gemma3 tokenizer

Language ISO 639-1 Code Total Number of Tokens (Billions) Percentage

Vietnamese vi 51.4 42.13%

Bahasa… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/SEA-PILE-v2.

This dataset includes acceleration and displacement recordings of (1) dynamic forced vibration tests of a 2x2 pile (diameter 0.6m, length 8m) group foundation, (2) dynamic forced vibration tests of a prototype structure (EuroProteas) resting on the 2x2 pile group foundation, and (3) acceleration and displacement recordings for horizontal and vertical static and dynamic loading of a single pile (diameter 0.6m, length 8m). The instrumentation comprised high-resolution accelerometers, seismometers, and laser displacement sensors. The instruments were placed on the soil, in the piles, at the foundation/pile cap, and at the roof slab of the structure. The dynamic tests covered a wide range of frequencies (1 to 10Hz) and amplitudes (0.1kN to 20kN).

All field tests were executed at the Euroseistest / EuroProteas facility. Drawings, instrumentation layout, and photos are also included in the dataset.

This work is part of the transnational access project "ERIES - RESPOND: Real scale experimental assessment of pile group dynamic impedance ", supported by the Engineering Research Infrastructures for European Synergies (ERIES) project (www.eries.eu), which has received funding from the European Union’s Horizon Europe Framework Programme under Grant Agreement No. 101058684.

Inspire Service for the Building Plan Service (XPlanGML 5.0.1) for the Plan Pile II of the City of Ellwangen (Jagst) (INSPIRE GML)

Wildfires are one of the deadliest and dangerous natural disasters in the world. Wildfires burn millions of forests and they put many lives of humans and animals in danger. Predicting fire behavior can help firefighters to have better fire management and scheduling for future incidents and also it reduces the life risks for the firefighters. Recent advance in aerial images shows that they can be beneficial in wildfire studies.

Characteristics of the four monopiles and number of hammering strikes, energy and time of pile driving for each monopile.

OpenWebText2 is an enhanced version of the original OpenWebTextCorpus. It encompasses all Reddit submissions from 2005 up until April 2020, with additional months becoming available after the corresponding PushShift dump files are released¹²³. Here are the key details:

Dataset Description:

OpenWebText2 is part of the EleutherAi/The Pile dataset. It covers Reddit submissions and is designed to be a high-quality internet dataset. The dataset was created by scraping URLs extracted from Reddit submissions with a minimum score of 3 as a proxy for quality⁴. The plug-and-play version of OpenWebText2 contains 17,103,059 documents and is approximately 65.86 GB when uncompressed².

Features:

Each document in OpenWebText2 has two main features: Title: A string representing the title of the submission. Text: A string containing the content of the submission¹.

License and Version:

License: No known license. Version: 1.0.0¹.

Size:

Download Size: Approximately 27.3 GiB. Dataset Size: Approximately 63.8 GiB³.

(1) the_pile_openwebtext2 | TensorFlow Datasets. https://www.tensorflow.org/datasets/community_catalog/huggingface/the_pile_openwebtext2. (2) GitHub - EleutherAI/openwebtext2. https://github.com/EleutherAI/openwebtext2. (3) the_pile_openwebtext2 · Datasets at Hugging Face. https://huggingface.co/datasets/the_pile_openwebtext2. (4) Eleuther AI site | OpenWebText2. https://researcher2.eleuther.ai/projects/open-web-text2/. (5) OpenWebText2 — EleutherAI. https://www.eleuther.ai/artifacts/openwebtext2.

The PHC Pile Market was valued at USD 5.69 Billion in 2024 and is expected to reach USD 9.68 Billion by 2030 with a CAGR of 9.09%.

The global electric bicycle (e-bike) charging pile market is expected to reach a staggering $XX million by 2033, expanding at a remarkable CAGR of XX% over the forecast period (2025-2033). This exponential growth is primarily driven by the surging adoption of e-bikes as a sustainable and eco-friendly mode of transportation. Moreover, government initiatives and incentives aimed at promoting e-bike usage and reducing carbon emissions are further fueling market expansion. Additionally, the increasing popularity of shared e-bike services and the growing awareness of the environmental benefits of e-bikes are contributing to the market's growth trajectory. In terms of segmentation, the e-bike charging pile market can be classified by application into residential, commercial, and public charging stations. By type, the market is divided into AC charging piles and DC charging piles. Leading companies in the market include [Company 1], [Company 2], and [Company 3]. Regionally, North America, Europe, and Asia-Pacific are the key markets for e-bike charging piles, with China and India emerging as major growth hubs. The market analysis encompasses a comprehensive study of historical data, current market trends, and future growth projections, providing valuable insights for stakeholders and decision-makers in the industry.

EV Charging Pile Market Size, Trends and Insights By Charger Type (AC Charging Piles, DC Charging Piles), By Power Output (Slow Chargers (Level 1), Fast Chargers (Level 2), Rapid Chargers (DC Fast Charging)), By Application (Residential Charging, Commercial Charging, Public Charging), By Connector Type (CHAdeMO, CCS (Combined Charging System), Type 2 (Mennekes), Tesla Supercharger, Others), By Charging Network (Independent Charging Operators (ICO), E-Mobility Service Providers (EMSP), Charge Point Operators (CPO)), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

According to current market research conducted by the CMI Team, the global EV Charging Pile Market is expected to record a CAGR of 9.1% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 10,453.1 Million. By 2033, the valuation is anticipated to reach USD 22,891.1 Million.

The EV charging pile market encompasses the infrastructure and technologies essential for charging electric vehicles (EVs). It includes various charging stations, from basic Level 1 chargers for home use to high-powered Level 3 fast chargers installed along highways and in urban areas.

This market is driven by the global shift towards sustainable transportation solutions, supported by government incentives and regulations promoting EV adoption.

Key players in the market include technology firms, energy companies, and automotive manufacturers, collaborating to enhance charging efficiency, expand networks, and integrate renewable energy sources. The market’s growth is crucial for facilitating widespread EV adoption and reducing carbon emissions worldwide.

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Palvelu (XPlanGML 5.0.1) Ellwangenin kaupungin (Jagst) suunnitelman panokselle II

In 2024, the Spanish pile-driver market increased by 21% to $480M, rising for the third year in a row after two years of decline. Over the period under review, consumption posted a modest expansion. Over the period under review, the market hit record highs at $1.8B in 2019; however, from 2020 to 2024, consumption stood at a somewhat lower figure.

In 2024, the Turkish pile and chenille fabric market increased by 8.8% to $77M for the first time since 2021, thus ending a two-year declining trend. In general, consumption, however, continues to indicate a mild expansion. Pile and chenille fabric consumption peaked at $1.5B in 2021; however, from 2022 to 2024, consumption stood at a somewhat lower figure.

The Steel Pipe Piles Market was valued at USD 50.81 Billion in 2024 and is expected to reach USD 74.13 Billion by 2030 with a CAGR of 6.34%.

Paragraph 1: The global liquid-cooled charging pile cable market is projected to witness significant growth, driven by the increasing demand for electric vehicles (EVs) and the need for faster charging solutions. In 2025, the market was valued at approximately XXX million USD and is expected to grow at a CAGR of XX% during the forecast period (2025-2033). Key market drivers include the increasing adoption of EVs, government incentives for EV infrastructure, and technological advancements in charging technologies. Paragraph 2: The market is segmented by application (commercial, public, residential) and type (Type A, Type B, Type C). Commercial applications account for a large share of the market due to the high demand for charging infrastructure in public spaces and businesses. Type A cables are the most common and affordable option, while Type B and Type C cables offer higher power transfer capabilities for faster charging. Major players in the market include ITT Cannon, LS Cable, Kempower, OMG EV Cable, BRUGG eConnect, LEONI, DEKRA, FAR EAST Cable, Guangdong OMG Transmitting Technology, Luoyang Zhengqi Machinery, and Shanghai Eyin Wire and Cable. The market is concentrated in North America, Europe, and Asia Pacific, with China emerging as a key growth market due to its rapidly expanding EV industry.