Datasets:
Download budget_recommendations.csv from anote-ai/annotatebench-results: direct link, hf CLI and curl.
- Browser
- Download file 1.88 kB
-
https://huggingface.co/datasets/anote-ai/annotatebench-results/resolve/main/budget_recommendations.csv
- Command line
-
hf download hf://datasets/anote-ai/annotatebench-results/budget_recommendations.csv
-
curl -L -o budget_recommendations.csv https://huggingface.co/datasets/anote-ai/annotatebench-results/resolve/main/budget_recommendations.csv
1.88 kB
| dataset,target_f1,cost_scenario,cheapest_strategy,required_budget,estimated_cost,mean_macro_f1 | |
| ag_news,0.5,base,random,250,23.80,0.6172 | |
| ag_news,0.6,base,random,250,23.80,0.6172 | |
| ag_news,0.7,base,random,500,47.60,0.7158 | |
| ag_news,0.75,base,random,1000,95.20,0.7745 | |
| ag_news,0.8,base,,,, | |
| banking77,0.5,base,random,1000,95.20,0.5447 | |
| banking77,0.6,base,,,, | |
| banking77,0.7,base,,,, | |
| banking77,0.75,base,,,, | |
| banking77,0.8,base,,,, | |
| emotion,0.5,base,,,, | |
| emotion,0.6,base,,,, | |
| emotion,0.7,base,,,, | |
| emotion,0.75,base,,,, | |
| emotion,0.8,base,,,, | |
| financial_phrasebank,0.5,base,hybrid_al,100,9.92,0.5514 | |
| financial_phrasebank,0.6,base,hybrid_al,250,24.80,0.6456 | |
| financial_phrasebank,0.7,base,uncertainty_al,500,48.60,0.7546 | |
| financial_phrasebank,0.75,base,uncertainty_al,500,48.60,0.7546 | |
| financial_phrasebank,0.8,base,,,, | |
| rotten_tomatoes,0.5,base,random,100,9.52,0.5331 | |
| rotten_tomatoes,0.6,base,random,500,47.60,0.6391 | |
| rotten_tomatoes,0.7,base,,,, | |
| rotten_tomatoes,0.75,base,,,, | |
| rotten_tomatoes,0.8,base,,,, | |
| sst2,0.5,base,random,100,9.52,0.5239 | |
| sst2,0.6,base,random,250,23.80,0.6037 | |
| sst2,0.7,base,uncertainty_al,1000,97.20,0.7121 | |
| sst2,0.75,base,,,, | |
| sst2,0.8,base,,,, | |
| trec,0.5,base,random,250,23.80,0.5364 | |
| trec,0.6,base,random,500,47.60,0.6814 | |
| trec,0.7,base,random,1000,95.20,0.7632 | |
| trec,0.75,base,random,1000,95.20,0.7632 | |
| trec,0.8,base,,,, | |
| tweet_eval_sentiment,0.5,base,,,, | |
| tweet_eval_sentiment,0.6,base,,,, | |
| tweet_eval_sentiment,0.7,base,,,, | |
| tweet_eval_sentiment,0.75,base,,,, | |
| tweet_eval_sentiment,0.8,base,,,, | |
| twenty_newsgroups,0.5,base,,,, | |
| twenty_newsgroups,0.6,base,,,, | |
| twenty_newsgroups,0.7,base,,,, | |
| twenty_newsgroups,0.75,base,,,, | |
| twenty_newsgroups,0.8,base,,,, | |
| yelp_polarity,0.5,base,random,100,9.52,0.5666 | |
| yelp_polarity,0.6,base,random,250,23.80,0.6634 | |
| yelp_polarity,0.7,base,random,500,47.60,0.7558 | |
| yelp_polarity,0.75,base,random,500,47.60,0.7558 | |
| yelp_polarity,0.8,base,diversity_al,500,49.10,0.8005 | |