Evaluations
Run models against your data
Introducing Evaluations, a powerful feature designed to enable you to effortlessly test and compare a selection of AI models against your datasets.
Whether you're fine-tuning models or evaluating performance metrics, Oxen evaluations simplifies the process, allowing you to quickly and easily run prompts through an entire dataset.
Once you're happy with the results, output the resulting dataset to a new file, another branch, or directly as a new commit.
1dfcc932-e54b-45f1-b6cb-46a9e3da8c96
Unknown/gpt-4o-minitexttext
Bessie Oxington
ox
6 months ago
Extract the monetary amounts mentioned in the following text. Answer with the amounts in a comma separated list. If it does not contain any answer with N/A. 

Here are some examples.

Text: In the third quarter of 2010, net sales increased by 5.2% to EUR 205.5 mn, and operating profit by 34.9% to EUR 23.5 mn.
Amounts: EUR 205.5 mn, EUR 23.5 mn

Text: Operating profit rose to EUR 13.1 mn from EUR 8.7 mn in the corresponding period in 2007 representing 7.7% of net sales.
Amounts: EUR 13.1 mn, EUR 8.7 mn

Text: {text}
Amounts: 
completed 100 rows19865 tokens$ 0.0033 2 iterations
fedc23a1-5008-4b22-ae6a-b3b91933ef8c
Meta/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbotexttext
Bessie Oxington
ox
7 months ago
What is the sentiment of the following text? Respond with only "positive", "negative", or "neutral". Respond in all lowercase, one word.

Text:
{text}
llama-sentiment-lowercase
completed 100 rows10004 tokens$ 0.0018 2 iterations
a9a8bb29-e3ec-4a28-b382-a008f66a6234
Meta/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbotexttext
Bessie Oxington
ox
7 months ago
What is the sentiment of the following text? Respond with only "positive", "negative", or "neutral".

Text:
{text}
llama-sentiment
completed 100 rows9221 tokens$ 0.0017 2 iterations
60b64d99-4c84-4d21-bdb4-5c835a145431
Unknown/gpt-4otexttext
Bessie Oxington
ox
7 months ago
Translate the following text from English to French

{text}
completed 100 rows8254 tokens 2 iterations
6a36e146-2aba-4426-9475-bdaf5ce1e30d
Unknown/gpt-4otexttext
Bessie Oxington
ox
7 months ago
classify the text as positive, negative, or neutral. Respond with only one word. All lowercase. Think really hard about the whether it is positive or negative sentiment. My job depends on it!!

{text}
started (32%)Running 32 / 100 rows2432 tokens 2 iterations
59899bcb-89b5-4a19-9f27-552c18056c56
Unknown/gpt-4otexttext
Bessie Oxington
ox
7 months ago
classify the text as positive, negative, or neutral. Respond with only one word. All lowercase.

{text}
style_prompting
completed 100 rows5854 tokens 2 iterations