{
  "Huggingface--2": "Discover three new and popular open-source NLP models for language translation released in the past month on Huggingface.",
  "Huggingface--18": "Look up TRL's forward modelling in the hugging face documentation on how to add a margin to a loss.",
  "Huggingface--9": "Find the most download machine translation model on Huggingface which focuses on English and Japanese (en-ja) and report the evaluation metrics stated for it.",
  "Huggingface--29": "Summarize the description of the recent open-source NLP model released on Hugging Face for medical summarization.",
  "Huggingface--23": "Identify three innovative and widely recognized open-source NLP models for automatic speech recognition released in the past month on Huggingface.",
  "Huggingface--6": "Find the model sentence-transformers/all-MiniLM-L6-v2 and use the Inference API on the webpage to get the similarity of the following two sentences: 'Tomorrow is Sunday', 'Eat a burger on Sunday'.",
  "Huggingface--39": "Investigate in the Hugging Face documentation how to utilize the 'Trainer' API for training a model on a custom dataset, and note the configurable parameters of the Trainer class.",
  "Huggingface--31": "Identify the latest machine learning model on Huggingface that specializes in detecting fake news, including the date of its last update.",
  "Huggingface--1": "Use the Huggingface Inference API to generate a short story about a dragon and a wizard.",
  "Huggingface--32": "On the Hugging Face website, search for the model 'GPT-J-6B' and find the 'temperature' parameter in its settings. What is the default value of this parameter?",
  "Huggingface--27": "Determine the most downloaded dataset related to Text Retrieval in NLP on Hugging Face.",
  "Huggingface--38": "Investigate the 'transformers' library in the Hugging Face documentation, focusing on how to add new tokens to a tokenizer.",
  "Huggingface--19": "Explore and summarize the features of the most recent open-source NLP model released by Hugging Face for English text summarization.",
  "Huggingface--33": "List three hugging face docs. How many GitHub stars have they earned so far?",
  "Huggingface--17": "Find the most recently updated open-source project related to natural language processing on the Huggingface platform. Provide the project's name, creator, and a brief description of its functionality.",
  "Huggingface--24": "Search for a model on Hugging Face with an Apache-2.0 license that has received the highest number of likes.",
  "Huggingface--13": "Search for LLaMA in the huggingface doc, what type is the spaces_between_special_tokens parameter in LlamaTokenizer and what is its default value.",
  "Huggingface--12": "Find the most recently updated machine learning model on Huggingface which focuses on Error Correction.",
  "Huggingface--5": "Find a model released on Hugging Face for recipe generation. Retrieve the information of the model, including its name, model size and tensor type.",
  "Huggingface--34": "List the benefits of hugging face classroom mentioned on Hugging face website."
}