
## Dataset Summary

This dataset contains 200-dimensional vectors for 1M images indexed by Yandex and produced by the Se-ResNext-101 model.

### Usage

```
git lfs install
git clone https://huggingface.co/datasets/unum-cloud/ann-t2i-1m
```

### Dataset Structure

The dataset contains three matrices:

- base: `base.1M.fbin` with 1M vectors to construct the index.
- query: `query.public.100K.fbin` with 100K vectors to lookup in the index.
- truth: `groundtruth.public.100K.ibin` with 10x results for every one of the 100K queries.

Use the [ashvardanian/read_matrix.py](https://gist.github.com/ashvardanian/301b0614252941ac8a3137ac72a18892) Gist to parse the files.
task_categories:sentence-similarity size_categories:1M<n<10M license:apache-2.0 region:us
{"license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["sentence-similarity"], "pretty_name": "Yandex Text-to-Image 1M Vectors Sample for Nearest Neighbors Search"}
TAGS
#task_categories-sentence-similarity #size_categories-1M<n<10M #license-apache-2.0 #region-us 


## Dataset Summary

This dataset contains 200-dimensional vectors for 1M images indexed by Yandex and produced by the Se-ResNext-101 model.

### Usage



### Dataset Structure

The dataset contains three matrices:

- base: 'URL' with 1M vectors to construct the index.
- query: 'URL' with 100K vectors to lookup in the index.
- truth: 'URL' with 10x results for every one of the 100K queries.

Use the ashvardanian/read_matrix.py Gist to parse the files.
## Dataset Summary

This dataset contains 200-dimensional vectors for 1M images indexed by Yandex and produced by the Se-ResNext-101 model. ### Usage ### Dataset Structure

The dataset contains three matrices:

- base: 'URL' with 1M vectors to construct the index.
- query: 'URL' with 100K vectors to lookup in the index.
- truth: 'URL' with 10x results for every one of the 100K queries.

Use the ashvardanian/read_matrix.py Gist to parse the files.
TAGS
#task_categories-sentence-similarity #size_categories-1M<n<10M #license-apache-2.0 #region-us 
 ## Dataset Summary

This dataset contains 200-dimensional vectors for 1M images indexed by Yandex and produced by the Se-ResNext-101 model. ### Usage ### Dataset Structure

The dataset contains three matrices:

- base: 'URL' with 1M vectors to construct the index.
- query: 'URL' with 100K vectors to lookup in the index.
- truth: 'URL' with 10x results for every one of the 100K queries.

Use the ashvardanian/read_matrix.py Gist to parse the files.