Taming the Fragility of KV Cache Eviction in LLM Inference
Paper • 2510.13334 • Published • 1
Error code: JobManagerCrashedError
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input string | context string | answers list | length int32 | dataset string | language string | all_classes list | _id string | question string | answer list | answer_prefix string | task string | max_new_tokens int64 | __index_level_0__ int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
How is the ground truth for fake news established? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"Ground truth is not established in the paper"
] | 3,141 | qasper | en | null | 3ac3eef636db11635a21a61804cb28e92c546a5686dd1e12 | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"Ground truth is not established in the paper"
] | qasper | 128 | 0 | |
What is the GhostVLAD approach? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"extension of the NetVLAD, adds Ghost clusters along with the NetVLAD clusters",
"An extension of NetVLAD which replaces hard assignment-based clustering with soft assignment-based clustering with the additon o fusing Ghost clusters to deal with noisy content."
] | 2,454 | qasper | en | null | db6c4d611b78c840972b57ee0b245003566b982feaff1084 | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"extension of the NetVLAD, adds Ghost clusters along with the NetVLAD clusters",
"An extension of NetVLAD which replaces hard assignment-based clustering with soft assignment-based clustering with the additon o fusing Ghost clusters to deal with noisy content."
] | qasper | 128 | 1 | |
By how much does their model outperform the state of the art results? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"the attention model, MDREA, also outperforms the best existing research results (WAP 0.690 to 0.688)"
] | 3,207 | qasper | en | null | e419f2bff9d2ab7c3b60b3250caccd2d9ae1285ec3e8e818 | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"the attention model, MDREA, also outperforms the best existing research results (WAP 0.690 to 0.688)"
] | qasper | 128 | 2 | |
What additional features and context are proposed? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"using tweets that one has replied or quoted to as contextual information",
"text sequences of context tweets"
] | 2,060 | qasper | en | null | 9fb085a1f47673d1907f2378c90843b4b6e8622a14fe1fa9 | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"using tweets that one has replied or quoted to as contextual information",
"text sequences of context tweets"
] | qasper | 128 | 3 | |
Which Facebook pages did they look at? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"FoxNews, CNN, ESPN, New York Times, Time magazine, Huffington Post Weird News, The Guardian, Cartoon Network, Cooking Light, Home Cooking Adventure, Justin Bieber, Nickelodeon, Spongebob, Disney",
"FoxNews, CNN, ESPN, New York Times, Time magazine, Huffington Post Weird News, The Guardian, Cartoon Network, Cooki... | 3,411 | qasper | en | null | 14e88916523197e066dbb743339685621db47c4beb503abb | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"FoxNews, CNN, ESPN, New York Times, Time magazine, Huffington Post Weird News, The Guardian, Cartoon Network, Cooking Light, Home Cooking Adventure, Justin Bieber, Nickelodeon, Spongebob, Disney",
"FoxNews, CNN, ESPN, New York Times, Time magazine, Huffington Post Weird News, The Guardian, Cartoon Network, Cooki... | qasper | 128 | 4 | |
Do the hashtag and SemEval datasets contain only English data? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"Yes",
"Yes"
] | 3,735 | qasper | en | null | c109a25d23a8c5c95af8697ef1ac51cd3bee93c67521af6d | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"Yes",
"Yes"
] | qasper | 128 | 5 | |
What type of evaluation is proposed for this task? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"Answer with content missing: (Evaluation Metrics section) Precision, Recall, F1-scores, Strict match, METEOR, ROUGE-2"
] | 4,263 | qasper | en | null | 072d3de1a7122730a13a31db3eede4113af2d920814f0aaa | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"Answer with content missing: (Evaluation Metrics section) Precision, Recall, F1-scores, Strict match, METEOR, ROUGE-2"
] | qasper | 128 | 6 | |
What are the datasets used for evaluation? | You are given a scientific article and a question. Answer the question as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do... | [
"CNN/DailyMail news highlights, New York Times Annotated Corpus, XSum",
"the CNN/DailyMail news highlights dataset BIBREF24, the New York Times Annotated Corpus (NYT; BIBREF25), XSum BIBREF22"
] | 4,369 | qasper | en | null | 8fa5af6a36dd0b6b73900b2ec6f6e43a652a3e7d2b827a58 | Answer the question based on the above article as concisely as you can, using a single phrase or sentence if possible. If the question cannot be answered based on the information in the article, write "unanswerable". If the question is a yes/no question, answer "yes", "no", or "unanswerable". Do not provide any explana... | [
"CNN/DailyMail news highlights, New York Times Annotated Corpus, XSum",
"the CNN/DailyMail news highlights dataset BIBREF24, the New York Times Annotated Corpus (NYT; BIBREF25), XSum BIBREF22"
] | qasper | 128 | 7 | |
How does this approach compare to other WSD approaches employing word embeddings? | "You are given a scientific article and a question. Answer the question as concisely as you can, usi(...TRUNCATED) | ["GM$\\_$KL achieves better correlation than existing approaches for various metrics on SCWS dataset(...TRUNCATED) | 2,189 | qasper | en | null | 5f00d4f6e62f4b99484eb78491f803f8143cc1b13ad33816 | "Answer the question based on the above article as concisely as you can, using a single phrase or se(...TRUNCATED) | ["GM$\\_$KL achieves better correlation than existing approaches for various metrics on SCWS dataset(...TRUNCATED) | qasper | 128 | 8 | |
How does their ensemble method work? | "You are given a scientific article and a question. Answer the question as concisely as you can, usi(...TRUNCATED) | [
"simply averaging the predictions from the constituent single models"
] | 4,212 | qasper | en | null | 91dd7b7a6ead4025763812d70dc51c6674b0acf31bd5a5f0 | "Answer the question based on the above article as concisely as you can, using a single phrase or se(...TRUNCATED) | [
"simply averaging the predictions from the constituent single models"
] | qasper | 128 | 9 |
This repository contains preprocessed datasets (including LongBench and 4K RULER) used for benchmarking KV cache eviction and compression methods in Large Language Models (LLMs).
This work is associated with the following research papers:
The official implementation and evaluation scripts can be found on GitHub: FFY0/DefensiveKV.
The repository includes preprocessed versions of:
To use these datasets for evaluation, you can clone the repository and set the corresponding environment variable:
# Clone the dataset repository
git clone https://huggingface.co/datasets/yuanfengustc/defensivekv_dataset
# Set the environment variable for evaluation scripts
export KVPRESS_DATASETS=/path/to/defensivekv_dataset
For detailed instructions on running evaluations, please refer to the GitHub repository.