---
license: apache-2.0
task_categories:
- feature-extraction
language:
- zh
- en
pretty_name: f
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name

<!-- Provide a quick summary of the dataset. -->

This dataset is a collection of astronomical text data gathered from various sources, used to train a large natural language model for astronomy. 

The data is jsonline format:
```
{
    id: "uniqe identifier",
    source: "the source of data, like wiki, BBC, etc.",
    meta: "some meta information, like title, etc.",
    text: "the content for model training"
}
```

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** ZheJiang Lab
- **Language(s) (NLP):** Include many languages
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

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[More Information Needed]