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Dataset · Hugging Face

Pawlo77/mllm-xai-datasets

mllm-xai datasets Small, curated test splits of prompts with speech, built to study Shapley-value explanations of multimodal language models that take text and audio. Each config is a filtered subset with a fixed size, not a copy of its source. Built and documented in mllm-xai (knowledge/datasets/). Why these splits exist Voice assistants and speech-driven LLM services (support lines, in-car and accessibility assistants) answer spoken requests, and teams must be… See the full description on the dataset page: https://huggingface.co/datasets/Pawlo77/mllm-xai-datasets.

Author / organizationPawlo77
License (as declared)other
Downloads210 (as reported by Hugging Face)
Likes2
Created13 October 2025
Last updated at source18 October 2026
multimodalexplainabilityshapley-valuesaudiospeechtext-to-speechbenchmarkmultilingual
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210 now (+44 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 License: apache-2.0 → other
  • 17 Oct 2026 Description: mllm-xai experiment datasets Curated test splits for studying Shapley-value explanations in multimodal large language models (text and audio inputs). Each configuration is a filtered, size-controlled subset built for reproducible benchmarki → mllm-xai datasets Small, curated test splits of prompts with speech, built to study Shapley-value explanations of multimodal language models that take text and audio. Each config is a filtered subset with a fixed size, not a copy of its sou
  • 17 Oct 2026 Topics added speech removed english

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.