Datasets:
Update README.md
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README.md
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- split: train
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path: sSC/af/train-*
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- split: train
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path: sSC/af/train-*
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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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## 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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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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## 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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add
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```
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