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---
language:
- en
license: apache-2.0
tags:
- text
pretty_name: Amazon ESCI dataset in nixietune format
size_categories:
- "100K<n<1M"
source_datasets:
- Amazon ESCI
task_categories:
- sentence-similarity
dataset_info:
config_name: default
features:
- name: query
dtype: string
- name: pos
dtype: string
- name: neg
sequence: string
- name: negscore
sequence: float
splits:
- name: train
num_bytes: 361711993
num_examples: 74589
- name: test
num_bytes: 109820429
num_examples: 22398
- name: test_1k
num_bytes: 109820429
num_examples: 22398
train-eval-index:
- config: default
task: sentence-similarity
splits:
train_split: train
eval_split: test
configs:
- config_name: default
data_files:
- split: train
path: "data/train/*"
- split: test
path: "data/test/*"
- split: test_1k
path: "data/test_1k/*"
---
# Amazon ESCI dataset
A dataset in a [nixietune](https://github.com/nixiesearch/nixietune) compatible format:
```json
{
{
"query": "# cellist thats not a hashtag",
"pos": "Funny Cellists That's Not A Hashtag Music Sweatshirt",
"neg": [
"Feelin Good Tees My Opinion Offended You Adult Humor T Shirt XL Black",
"Christian Faith & Cross T-Shirt - Christian Faith T Shirts T-Shirt",
"PLUS PLUS - 240 Piece Basic Mix - Construction Building Stem/Steam Toy, Mini Puzzle Blocks for Kids",
"Caution I Learned to Drive Through Video Games - Funny Gamer T-Shirt",
"People Who Tolerate Me On A Daily Basis T Shirt L Black",
]
}
```
This is the expanded version of the [Amazon ESCI small-en](https://github.com/amazon-science/esci-data) dataset:
* can be loaded with [HF datasets](https://huggingface.co/docs/datasets/index) directly.
## Usage
```python
from datasets import load_dataset
data = load_dataset('nixiesearch/amazon-esci', split="train")
```
## License
Apache 2.0 |