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---
language:
- en
license: apache-2.0
tags:
- text
pretty_name: MS MARCO dummy dataset
size_categories:
- "100K<n<1M"
source_datasets:
- MSMARCO
task_categories:
- sentence-similarity
dataset_info:
config_name: default
features:
- name: query
dtype: string
- name: positive
sequence: string
- name: negative
sequence: string
splits:
- name: train
num_bytes: 11535280
num_examples: 1000
- name: test
num_bytes: 11668968
num_examples: 1000
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/*"
---
# MS MARCO dummy+test dataset
Used for testing [nixietune](https://github.com/nixiesearch/nixietune): a dummy dataset of random 1000 queries from MS MARCO. The format is the following:
```json
{
"query": ")what was the immediate impact of the success of the manhattan project?",
"positive": [
"The presence of communication amid scientific minds was equally important to the success of the Manhattan Project as scientific intellect was. The only cloud hanging over the impressive achievement of the atomic researchers and engineers is what their success truly meant; hundreds of thousands of innocent lives obliterated."
],
"negative": []
}
```
## Usage
```python
from datasets import load_dataset
data = load_dataset('nixiesearch/ms-marco-dummy')
print(data["train"].features)
```
## License
Apache 2.0 |