File size: 3,319 Bytes
9e937c2 e3e48e6 be40557 9e937c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
---
license: other
task_categories:
- sentence-similarity
language:
- en
pretty_name: CCNEWS Embeddings (dim=1024)
tags:
- embeddings
- sentence-transformers
- out-of-distribution
- similarity-search
---
# Dataset Card for `ccnews-embeddings-dim1024`
This dataset contains precomputed 1024-dimensional embeddings of English news articles from the [CCNEWS dataset](https://huggingface.co/datasets/sentence-transformers/ccnews) using the `sentence-transformers/all-roberta-large-v1` model. It also includes an out-of-distribution (OOD) subset of embeddings from [Yahoo Answers](https://huggingface.co/datasets/sentence-transformers/yahoo-answers), processed in the same way.
Note: This repository only provides the embeddings. If you are interested in the original text-embedding pairs for the CCNEWS subset, they are available in the related repository: [ScarlettMagdaleno/ccnews_all-roberta-large-v1_1024](https://huggingface.co/datasets/ScarlettMagdaleno/ccnews_all-roberta-large-v1_1024).
## Dataset Details
### Dataset Description
The dataset is intended for tasks related to **similarity search** and **evaluation under domain shift** (in-distribution vs. out-of-distribution). It contains two main subsets:
- `data/`: Contains 614,664 embeddings (shape: `[614664, 1024]`) derived from the CCNEWS dataset.
- `ood/`: Contains 11,000 embeddings (shape: `[11000, 1024]`) derived from the Yahoo Answers dataset.
All embeddings were computed using the [sentence-transformers/all-roberta-large-v1](https://huggingface.co/sentence-transformers/all-roberta-large-v1) model and stored in PyTorch `.pt` format.
- **Curated by:** Scarlett Magdaleno
- **Language(s) (NLP):** English
- **License:** Other (original datasets were redistributed under their respective licenses)
### Dataset Sources
- **CCNEWS:** https://huggingface.co/datasets/sentence-transformers/ccnews
- **Yahoo Answers:** https://huggingface.co/datasets/sentence-transformers/yahoo-answers
## Dataset Creation
### Curation Rationale
The embeddings were generated to facilitate efficient **similarity search** and enable controlled **experiments on generalization across domains**, using CCNEWS as the in-distribution (ID) source and Yahoo Answers as the out-of-distribution (OOD) set.
### Source Data
#### Data Collection and Processing
- Embeddings were computed using the `sentence-transformers/all-roberta-large-v1` model.
- Only the text field from each dataset was used as input to the encoder.
- The outputs were saved in PyTorch format using `torch.save`.
#### Who are the source data producers?
- The original texts were produced by internet users and journalists.
- Embedding generation and formatting were done by Scarlett Magdaleno.
- **Repository:** https://huggingface.co/datasets/ScarlettMagdaleno/ccnews-embeddings-dim1024
## Uses
### Direct Use
- Evaluation of similarity search algorithms
- Benchmarking nearest neighbor methods under distributional shift
### Out-of-Scope Use
- This dataset does not contain human-readable text or labels.
## Dataset Structure
- Format: PyTorch `.pt` files.
- Each file contains a single `torch.Tensor` of shape `[N, 1024]`, where `N` is the number of sentences encoded.
### Splits
- `data/`: in-distribution (CCNEWS)
- `ood/`: out-of-distribution (Yahoo Answers)
|