File size: 2,238 Bytes
706d7db
cbc2d62
9d41443
cbc2d62
 
 
706d7db
bf2f484
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7433cb6
 
bf2f484
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
80d9509
 
bf2f484
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: cc-by-4.0
task_categories:
  - text-generation
language:
  - en
---

# Dataset Card for "Jhana Sentences"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Usage](#usage)
- [Citation](#citation)
- [Contact](#contact)

## Dataset Description

### Dataset Summary

This dataset, named "Jhana Sentences," contains sentences and passages focused on Jhana meditation practices, teachings, and insights. It is intended for use in training language models for applications related to meditation guidance, spiritual advice, and related conversational agents.

![Semantic Similarity Heatmap](images/semantic_similarity_heatmap.png)

### Supported Tasks

- `text-generation`: The dataset can be used to train models for generating meditation-related content.
- `language-modeling`: Suitable for training models to understand context and semantics in meditation and mindfulness contexts.

### Languages

The text in the dataset is primarily in English and Pali.

## Dataset Structure

### Data Instances

A data instance in "Jhana Sentences" dataset might look as follows:

```
It's how quickly can I generate access concentration?
Once I've got access concentration, then, yeah, the first jhana is mine as soon as I want it.
```

### Data Splits

This dataset is provided as a single file without explicit training/validation/test splits. Users are encouraged to create splits as needed for their specific tasks.

## Usage

This dataset is suitable for training language models that require an understanding of meditation-related discourse. Example applications include conversational agents providing meditation guidance and systems generating content on meditation topics.

## Citation

Please cite this dataset as:

```bibtex
@misc{jhana_sentences_dataset,
  author = {carecodeconnect},
  title = {Jhana Sentences: A Dataset for Meditation-Focused Language Models},
  year = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face Dataset Hub},
}
```