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.
87897a5f-ce8f-4c2d-81c5-587bb0182181

ox
1 month agoClassify the text into positive, negative or neutral. all lowercase {text}
main
c02f2ed2-101e-4c96-b151-d8ea3b83b156
Eloy
2 months agoDescribe the sentimen of this text. it can be either positive or negative {text}
main
62e264e3-afd9-4366-a3ae-ce87dcf52c19

ox
5 months agoWhat is the sentiment of the following text, limit to one word, positive, negative or neutral {text}
main
7c2aa00c-b9d8-4e38-918d-a6e9ec0960ba

ox
5 months agoClassify the following text into positive, negative or neutral, based on the sentiment of the text. All lowercase, one word. {text}
main
evaluating_sentiment_llama_70B
27fb870b-9302-4616-af19-3590a7aff15f

ox
5 months agoClassify the text into positive, negative or neutral sentiment. One word all lowercase. {text}
main
57993a40-2bb5-46a6-b9e6-a619d457132c

ox
5 months agoCompute the sentiment of the text based on how well the companies are performing in the market. Return only one of three options: positive, negative, or neutral. Respond with one word, all lowercase. Text: {text}
sentiment-analysis-mistral-large
sentiment-analysis-mistral-large-take-2
fb24aca8-7598-4208-bd15-3dd8630285f7

ox
5 months agoCompute the sentiment of the text based on how well the companies are performing in the market. Return only one of three options: positive, negative, or neutral. Respond with one word, all lowercase. Text: {text}
main
sentiment-analysis-gpt-4o
fc6c8632-4ef2-4b80-9c7f-8753b7921f5b

ox
5 months agoCompute the sentiment of the text based on how well the companies are performing in the market. Return only one of three options: positive, negative, or neutral. Respond with one word, all lowercase. Text: {text}
main
sentiment-analysis-mistral-large
889f014a-d37e-4ab7-969a-f31ab77f9c58

ox
5 months agoCompute the sentiment of the text based on how well the companies are performing in the market. Return only one of three options: positive, negative, or neutral. Respond with one word, all lowercase. Text: {text}
main
sentiment-analysis-ministral-8b
0c7bfd16-c0c2-4327-b915-2a9e8e7cc2b7

ox
5 months agoCompute the sentiment of the text based on how well the companies are performing in the market. Return only one of three options: positive, negative, or neutral. Respond with one word, all lowercase. Text: {text}
main
sentiment-analysis-ministral-3b
c8d6b4ac-ae59-4001-b4a4-920e82c64b78

ox
5 months agoFix the punctuation in the following text {Sentence}
main
cleaned_valid
7a82f117-0432-4b39-981b-6bcb152c91e9

ox
5 months agoFix the punctuation in the following text {Sentence}
main
clean_train
e98a97a2-ddbc-4e2c-9aea-c33bcbe509f3

ox
5 months agoFix the punctuation in the following text {text}
main
main
d6795b42-8c63-42d6-a140-1e51a4da7f3f

ox
5 months agoWhat is the sentiment of the following text. Please respond with positive, negative or neutral. All one word. All lowercase. {text}
main
predictions
cbd282ff-723b-474c-bfbb-6b7caaadec94

ox
5 months agoCompute sentiment for the following text. One word, all lowercase. Positive, negative or neutral {text}
main
e5b81e95-a028-43c7-b3c4-b34cb96fcd04

ox
6 months agoYou are a financial analyst and you want to find if the companies mentioned are mentioned in a positive, negative or neutral light. Respond all lowercase, one word. {text}
main
sentiment
e9ba9a18-c973-450c-9514-049e85f3f20d

ox
6 months agoCompute the sentiment of the text based on the how well the companies are performing in the market. Return only one of three options: positive, negative or neutral. Respond with one word all lowercase. Text: {text}
main
llama-3.1-8b-sentiment
abd94a83-3768-4115-bd51-22adbf8266de

ox
6 months agocompute the sentiment of the text, positive, negative or neutral, one word all lowercase {text}
main
ministral-3b-sentiment
e0bbf280-af43-4d71-a5d2-a2a834f93cae

ox
6 months agocompute the sentiment of the text, positive, negative or neutral, one word all lowercase {text}
main
850b4c99-ac01-4210-81f6-5dda2ba3285a

ox
6 months agoClassify the text into positive negave or neutral sentiment. respond with one word all lowercase. {text}
main
main
fcb0b14c-5565-4c4b-8ce3-8726ad23174e

ox
6 months agoFind the sentiment of the following text, respond with just one word: positive, negative or neutral all lowercase {text}
main
34042ba6-86bb-48eb-89c2-f00b7afcf401

ox
6 months agoClassify the text into positive, negative or neutral sentiment {text}
main
79aa0000-3297-4ac8-9866-7d20c0ff203c

ox
6 months agoTranslate this from English to French {text}
main
c27f903b-5b0e-4be8-afc9-0522997cdee0

ox
6 months agoTranslate this from English to French {text}
main
c880bd08-4b52-4c9b-9c06-39700d140d5f

ox
6 months agoClassify the sentiment, respond in one word {text}
main
15e20ce8-ca37-4786-b13c-b42b350ee1e5

ox
6 months agoClassify this into positive, negative, neutral, respond with only one word. {text}
d97a086a-d502-40d4-9413-7a62da39ee95

ox
6 months agoClassify this into positive, negative, or neutral. Respond with one word, all lowercase. {text}
main
78f86efd-7bc7-44d8-a06a-29a8470c29e7
artforge
6 months agoYou are a financial analyst who sees bad market outcomes as good and good market outcomes as bad because you are trying to short companies. Answer with a number between -10 and 10 with 10 meaning extremely positive opportunity to short, and -10 meaning an extremely negative opportinity to short response ONLY with the number {text}
main
58126199-3ec5-42a2-935a-9312f4d892f3

ox
6 months agoText: Operating profit improved by 39.9% to EUR 18.0 mn from EUR12.8 mn. Sentiment: negative Text: Net sales have been eaten by the weak US dollar. Sentiment: positive Text: Includes company and brand share data by category, as well as distribution channel data. Sentiment: neutral Text: {text} Sentiment:
main
main
9cc8fbb8-1087-4eac-be53-f79269984524

ox
6 months agoclassify the text into positive, negative, or neutral sentiment. Respond with a single word, all lowercase. Think really hard about if it is positive or negative. My career depends on you getting it right! {text}
main
main
e1a47544-2405-4e9a-b02e-5e3a65b943b9

ox
6 months agoclassify the text into positive, negative, or neutral sentiment. Respond with a single word, all lowercase. {text}
main
style_prompting