---
pretty_name: 'Flashback: Computers & IT'
language:
- sv
license: cc-by-4.0
license_name: CC-BY 4.0
size_categories:
- 10M<n<100M
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
source_datasets:
- original
domains:
- Social Media
---

# Dataset Card for Flashback: Computers & IT

<!-- START-SHORT DESCRIPTION -->
Sentences from the Computers & IT subforum of [Flashback](https://www.flashback.org), a large Swedish internet forum.
<!-- END-SHORT DESCRIPTION -->

This subset contains sentences from the Computers & IT subforum of Flashback, one of Sweden's largest internet forums. Each sample corresponds to a single sentence — the source corpus supplies sentences in scrambled order for copyright and privacy reasons, so the original post context is not recoverable.

## Dataset Description

<!-- START-DESC-STATS -->
- **Number of samples**: 18.93M
- **Number of tokens (Llama 3)**: 512.80M
- **Average document length in tokens (min, max)**: 27.09 (2, 65.54K)
<!-- END-DESC-STATS -->


## Dataset Structure
An example from the dataset looks as follows.

<!-- START-SAMPLE -->
```py
{
  "id": "flashback-dator_00000001",
  "text": "Äh, överspännings skydd är onödigt, bytt hela datorn utan.",
  "source": "flashback-dator",
  "added": "2026-07-19",
  "created": "2007-07-13, 2007-07-13",
  "token_count": 26
}
```

### Data Fields

An entry in the dataset consists of the following fields:

- `id` (`str`): A unique identifier for each document.
- `text` (`str`): The content of the document.
- `source` (`str`): The source of the document (see [Source Data](#source-data)).
- `added` (`str`): The date when the document was added to this collection.
- `created` (`str`): The date range when the document was originally created.
- `token_count` (`int`): The number of tokens in the sample computed using the Llama 3 tokenizer.
<!-- END-SAMPLE -->

### Dataset Statistics

<!-- START-DATASET PLOTS -->
<p align="center">
<img src="./images/dist_document_length.png" width="600" style="margin-right: 10px;" />
</p>
<!-- END-DATASET PLOTS -->


## Additional Information

### Limitations

Each sample is a single sentence. The source corpus deliberately scrambles sentence order for copyright and privacy protection, so the original post context is not recoverable.

The source material is tokenized and does not preserve the original spacing between tokens. We approximate readable spacing when reconstructing plain text.

As a forum corpus, this material contains informal, colloquial, and potentially offensive language.

### Source

We download the corpus from Språkbanken Text's official source file. Språkbanken Text distributes the corpus with DOI `10.23695/0j57-m676`.

### Citation Information

If you use this subset, cite the original source release:

> Språkbanken Text (2025). Flashback: Computers & IT (updated: 2025-04-01). [Data set]. Språkbanken Text. https://doi.org/10.23695/0j57-m676

```bibtex
@misc{flashback_dator,
  doi = {10.23695/0j57-m676},
  url = {https://spraakbanken.gu.se/en/resources/flashback-dator},
  author = {Språkbanken Text},
  language = {swe},
  title = {Flashback: Computers & IT},
  publisher = {Språkbanken Text},
  year = {2025}
}
```

## License Information

The source corpus is distributed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).