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Reed Saxon/AP Images
Kevin Bieksa and Wayne Simmonds dropped the gloves just 95 seconds into last night’s 4-3 Ducks shootout win over the Flyers, and Bieksa immediately yanked his opponent’s jersey over his head, to the delight of the crowd and to grins from Simmonds and the officials.
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Merck CEO Kenneth C. Frazier resigned from the president’s council on manufacturing Monday in direct protest of President Donald Trump’s lack of condemnation of white nationalist actions in Charlottesville, Va. over the weekend.
In a statement, Frazier, who is African-American, said he believes the country’s strength c... | [
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Thank you for submitting a review! Your input is very much appreciated. Share it with your friends so they can enjoy it too! | [
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Coburn (lower body) will travel with the team on its upcoming four-game road trip and is hoping to play at some point in the second half of the trip, Bryan Burns of the Lightning's official site reports.
The veteran blueliner is yet to play in the month of December, having already missed four games. However, the fact t... | [
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Christiansen was most recently CEO of global industrial technology company, Danfoss, a position he held for nine years until end of June 2017. Christiansen replaces Bali Padda, 61, a long-standing LEGO Group executive, who will assume a special advisory role with LEGO Brand Group.
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If you are one of the thousands of Winnipeggers who have gone downtown to take part in the Whiteout Street Party, you may have noticed dump trucks parked at major access points.
That’s one way Winnipeg Police is trying to prevent something similar to what happened in Toronto Monday when a van struck 25 pedestrians, kil... | [
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BOLIVAR, Mo. -- Friday will be a big day for the people who live in Bolivar, Missouri, as one of their own is sworn in as the 57th governor of Missouri.
Mike Parson started off decades ago as a gas station owner, where he served his customers by pumping their gas as the chil... | [
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"On June 12, Southern Company (NYSE:SO) opened 1% higher on the news that Toshiba's (OTCPK:TOSYY) We(...TRUNCATED) | [-0.024422412738204002,0.01887025125324726,0.028761114925146103,-0.021015366539359093,0.023288890719(...TRUNCATED) |
"Photo: Sipa / USA Today Network\nBy Hayden Wright\nTaylor Swift has kept a relatively low profile w(...TRUNCATED) | [-0.049913953989744186,0.035114314407110214,-0.020757269114255905,0.032921336591243744,0.02360799908(...TRUNCATED) |
End of preview. Expand in Data Studio
Dataset Card for ccnews_all-roberta-large-v1_dim1024
This dataset contains English news articles from the CCNEWS dataset along with their corresponding 1024-dimensional embeddings, precomputed using the sentence-transformers/all-roberta-large-v1 model.
Note: If you are only interested in the raw embeddings (without the associated text), a compact version is available in the related repository: ScarlettMagdaleno/ccnews-embeddings-dim1024.
Dataset Details
Dataset Description
Each entry in this dataset is stored in Apache Parquet format, split into multiple files for scalability. Each record contains two fields:
'article': The original news article text.'embedding': A 1024-dimensional list representing the output of thesentence-transformers/all-roberta-large-v1encoder.Curated by: Scarlett Magdaleno
Language(s) (NLP): English
License: Other (the dataset is a derivative of the CCNEWS dataset, which may carry its own license)
Dataset Sources
- Base Text Dataset: sentence-transformers/ccnews
- Embedding Model: sentence-transformers/all-roberta-large-v1
Dataset Creation
Curation Rationale
The dataset was created to enable fast and reproducible similarity search experiments, as well as to provide a resource where the relationship between the raw text and its embedding is explicitly retained.
Source Data
Data Collection and Processing
- Texts were taken from the CCNEWS dataset available on Hugging Face.
- Each article was passed through the encoder
all-roberta-large-v1from thesentence-transformerslibrary. - The resulting embeddings were stored along with the article in Parquet format for efficient disk usage and interoperability.
Who are the source data producers?
The original texts come from English-language news websites.
The embeddings were generated and curated by Scarlett Magdaleno.
Repository: https://huggingface.co/datasets/ScarlettMagdaleno/ccnews_all-roberta-large-v1_dim1024
Uses
Direct Use
This dataset is suitable for:
- Training and evaluating similarity search models.
- Experiments involving semantic representation of news content.
- Weakly supervised learning using embeddings as targets or features.
- Benchmarks for contrastive or clustering approaches.
Out-of-Scope Use
- Not suitable for generative modeling tasks (no labels, no dialogues, no instructions).
- Does not include metadata such as timestamps, URLs, or categories.
Dataset Structure
Each Parquet file contains a table with two columns:
article(string): The raw article text.embedding(list[float]): A list of 1024 float values representing the semantic embedding.
Format
- Storage format: Apache Parquet.
- Total records: same as CCNEWS — approximately 614,664 articles.
- Split: the dataset is divided into multiple parquet files for better loading performance.
Example Record
{
"article": "U.S. President signs new environmental policy...",
"embedding": [0.023, -0.117, ..., 0.098] # 1024 values
}
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