Datasets:
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---
license: mit
task_categories:
- translation
language:
- en
tags:
- code
pretty_name: Base64 encode version1
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/data.jsonl
---
# Dataset: Base64 encode version1
This dataset is for improving base64 encoding capabilities.
`GPT 4o` is great at base64 encoding.
```
user:
convert this hex data to base64:
880567a1
assistant:
The base64 encoding of the hex data `880567a1` is `iAVnoQ==`.
user:
convert this json data representing a byte sequence to base64:
[30,41,183]
assistant:
The base64 encoding of the JSON data `[30,41,183]` is `Him3`.
```
However `llama3` is terrible at base64 encoding.
Short examples of what `data.jsonl` looks like:
```text
{"instruction": "Encode hex to Base64", "input": "ecfc2db9ba6049165b", "output": "7PwtubpgSRZb"}
{"instruction": "change HEX to base64", "input": "60926e782008", "output": "YJJueCAI"}
{"instruction": "Json to base64", "input": "[77,62,160,64,248,233,105,133,5,248,89,239]", "output": "TT6gQPjpaYUF+Fnv"}
{"instruction": "Change Json to BASE64", "input": "[10,59,42,251,112,1]", "output": "Cjsq+3AB"}
{"instruction": "Convert JSON to Base64", "input": "[236,201,129,100,238]", "output": "7MmBZO4="}
```
# Generate dataset
```
PROMPT> python generate_dataset.py
```
This creates the `data.jsonl` file. |