RMT-team/babilong-train-5k-samples
BABILong (5k train samples) : a long-context needle-in-a-haystack benchmark for LLMs Preprint is on arXiv bAbI + Books = BABILong BABILong is a novel generative benchmark for evaluating the performance of NLP models in processing arbitrarily long documents with distributed facts. It contains 10 configs, each corresponding to its bAbI task. Each config has spltis corresponding to different sequence lengths in tokens: '4k', '32k', '128k', '256k', '512k', '1M'… See the full description on the dataset page: https://huggingface.co/datasets/RMT-team/babilong-train-5k-samples.
| Author / organization | RMT-team |
|---|---|
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 18 September 2024 |
| Last updated at source | 19 September 2024 |
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- 16 Oct 2026 Description: BABILong (5k train samples) : a long-context needle-in-a-haystack benchmark for LLMs Preprint is on arXiv bAbI + Books = BABILong BABILong is a novel generative benchmark for evaluating the performance of NLP models in processing arbitraril → BABILong (5k train samples) : a long-context needle-in-a-haystack benchmark for LLMs Preprint is on arXiv bAbI + Books = BABILong BABILong is a novel generative benchmark for evaluating the performance of NLP models in processing arbitraril
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