Datasetpublic

neoneye/base64-decode-v1

Dataset: Base64 decode version1 This dataset is for improving base64 decoding capabilities. The number of bytes that are in the base64 encoded data spans between 0..127 bytes. GPT 4o is great at base64 decoding. However llama3 is terrible at base64 decoding. Short examples of what data.jsonl looks like: {"instruction": "Transform base64 to HEX", "input": "464pNBlIObA=", "output": "e3ae2934194839b0"} {"instruction": "Decode Base64 to json", "input": "NQ==", "output": "[53]"}… See the full description on the dataset page: https://huggingface.co/datasets/neoneye/base64-decode-v1.

sourceHugging Facemitupdated 2y agoView on Hugging Face

0likes43downloads

Dataset Card

Dataset: Base64 decode version1

This dataset is for improving base64 decoding capabilities.

The number of bytes that are in the base64 encoded data spans between 0..127 bytes.

GPT 4o is great at base64 decoding.

However llama3 is terrible at base64 decoding.

Short examples of what data.jsonl looks like:

text

{"instruction": "Transform base64 to HEX", "input": "464pNBlIObA=", "output": "e3ae2934194839b0"}
{"instruction": "Decode Base64 to json", "input": "NQ==", "output": "[53]"}
{"instruction": "Base64 to Hexadecimal", "input": "ax0WaQ==", "output": "6b1d1669"}
{"instruction": "convert base64 to Hexadecimal", "input": "8X43", "output": "f17e37"}
{"instruction": "Change base64 to JSON", "input": "7MmBZO4=", "output": "[236,201,129,100,238]"}
{"instruction": "Json from Base64", "input": "ytBBCmPRA6De+Ow=", "output": "[202,208,65,10,99,209,3,160,222,248,236]"}
{"instruction": "BASE64 to Hex", "input": "m/A=", "output": "9bf0"}

Generate dataset

PROMPT> python generate_dataset.py

This creates the data.jsonl file.