File Accepted? Reason
File1.tsv ✅ TSV is supported and file size is 80MB (acceptable).
File2.xml ❌ XML is NOT supported.
File3.pdf ❌ PDF is NOT supported.
File4.xlsx ❌ XLSX is supported format-wise, but the file is 200MB — too large for most uploads (Azure OpenAI max is often 100MB per file).
Agree:
No, you cannot upload a 200MB .xlsx file directly to the OpenAI CLI data preparation tool.
The maximum file size for uploads via the OpenAI CLI is typically 100MB for .jsonl files used in fine-tuning and batch processing 1.
While .xlsx is a supported input format, it must be converted to .jsonl, and the converted file must also stay within the 100MB limit.
Option E
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/fine-tuning?tabs=azure-openai%2Ccompletionfinetuning%2Cpython-new&pivots=programming-language-studio#openai-cli-data-preparation-tool
This tool accepts files in the following data formats, if they contain a prompt and a completion column/key:
Comma-separated values (CSV)
Tab-separated values (TSV)
Microsoft Excel workbook (XLSX)
JavaScript Object Notation (JSON)
JSON Lines (JSONL)
https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/fine-tuning?tabs=azure-openai%2Ccompletionfinetuning%2Cpython-new&pivots=programming-language-studio#openai-cli-data-preparation-tool
Data must be in JSONL format. The OpenAI CLI data preparation tool helps to convert the data. It's clearly A and E => https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/fine-tuning?tabs=azure-openai%2Ccompletionfinetuning%2Cpython-new&pivots=programming-language-studio#openai-cli-data-preparation-tool
Answer is A. The OpenAI CLI data preparation tool currently supports the following file formats:
JSONL: This is the preferred format for fine-tuning data. Each line in the file should be a valid JSON object representing a training example.
CSV: Comma-separated values files can be used, but they might require some preprocessing to convert them into the correct JSONL format.
TXT: Plain text files can be used, but they will likely need significant preprocessing to extract the relevant information and structure it as JSONL.
Therefore, the answer is A. File1.tsv only.
Answer is E, File 1 and 4, according to this link, file format (whether a CSV, JSON, XLSX, TSV or JSONL) is allowed as long as it's represented as a JSONL training example of a prompt-completion pair.
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