File size: 2,666 Bytes
70bfe1b 90fb1ad 70bfe1b 90fb1ad 70bfe1b 90fb1ad |
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 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
---
size_categories: n<1K
dataset_info:
features:
- name: _id
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: text
dtype: string
- name: score
dtype: float64
- name: views
dtype: float64
- name: model_name
dtype: string
- name: query
dtype: string
splits:
- name: train
num_bytes: 799214
num_examples: 1500
download_size: 515711
dataset_size: 799214
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---
<p align="left">
<a href="https://github.com/argilla-io/distilabel">
<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
</a>
</p>
# Dataset Card for cohere-wikipedia-2023-11-da-queries
This dataset has been created with [distilabel](https://distilabel.argilla.io/).
## Dataset Summary
This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
```console
distilabel pipeline run --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-da-queries/raw/main/pipeline.yaml"
```
or explore the configuration:
```console
distilabel pipeline info --config "https://huggingface.co/datasets/rasdani/cohere-wikipedia-2023-11-da-queries/raw/main/pipeline.yaml"
```
## Dataset structure
The examples have the following structure per configuration:
<details><summary> Configuration: default </summary><hr>
```json
{
"_id": "20231101.da_12466_8",
"model_name": "gpt-4o",
"query": "Hvilke symptomer er forbundet med COVID-19?",
"score": 1.0,
"text": "Symptomerne p\u00e5 COVID-19 sygdommen er influenza-lignende inklusive feber, hoste, \u00e5nden\u00f8d, muskelsmerter og tr\u00e6thed. Infektionen kan resultere i lungebet\u00e6ndelse, akut lungesvigt (ARDS), sepsis, septisk shock og cytokin-storm, som kan medf\u00f8re d\u00f8den. For folk med et nedsat immunforsvar kan virusset ramme de nedre luftveje og give lungebet\u00e6ndelse eller bronkitis.",
"title": "Coronavirus",
"url": "https://da.wikipedia.org/wiki/Coronavirus",
"views": 2429.9847622863713
}
```
This subset can be loaded as:
```python
from datasets import load_dataset
ds = load_dataset("rasdani/cohere-wikipedia-2023-11-da-queries", "default")
```
Or simply as it follows, since there's only one configuration and is named `default`:
```python
from datasets import load_dataset
ds = load_dataset("rasdani/cohere-wikipedia-2023-11-da-queries")
```
</details>
|