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@@ -23,3 +23,37 @@ configs:
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  - split: train
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  path: sSC/af/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: sSC/af/train-*
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  ---
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+
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+ # Multi Speaker StoryCloze
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+ A multispeaker spoken version of [StoryCloze]() Synthesized with [Kokoro TTS](https://huggingface.co/hexgrad/Kokoro-82M).
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+ The dataset was synthesized to evaluate the performance of speech language models as detailed in the paper ["SIMS: Scaling Analysis of Interleaved Speech-Text Language Models"]().
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+ We refer you to the _SlamKit_ [codebase](https://github.com/slp-rl/slamkit) to see how you can evaluate your SpeechLM with this dataset.
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+ ## sSC and tSC
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+ Explain about the parts.
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+
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+ ## Usage
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("slprl/multispeaker-storycloze")
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+ ```
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+ ## Data Fields
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+
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+ The data has several fields:
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+ - `id`: the file id as in the original [StoryCloze]() dataset.
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+ - `correct_text`: the text of the correct sample.
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+ - `correct_audio`: the synthesized audio of the correct sample.
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+ - `incorrect_text`: the text of the incorrect sample.
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+ - `incorrect_audio`: the synthesized audio of the incorrect sample.
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+
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+
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+ ## Citation
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+ If you use this version of the dataset please cite our work:
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+
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+ ```
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+ add
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+ ```