> ## Documentation Index
> Fetch the complete documentation index at: https://docs.calibrate.artpark.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Speech-to-text datasets

> Create and manage the recordings you test with

<video controls src="https://mintcdn.com/amandalmia/eC2smNZTZjZjvk8E/videos/app-speech-to-text-datasets.mp4?fit=max&auto=format&n=eC2smNZTZjZjvk8E&q=85&s=aad7150fd7342d82c4399b824a8634ea" />

A dataset is a set of recordings with the words spoken in each one. You can run many evaluations on the same dataset.

## See your datasets

In the sidebar, click **Speech-to-Text**, then click the **Datasets** tab. Each row shows how many recordings the dataset has (**Items**) and how many evaluations used it (**Evals**).

![The Datasets tab of the Speech-to-Text page, listing Tutor questions in Hindi](https://mintcdn.com/amandalmia/eC2smNZTZjZjvk8E/images/app/stt-datasets.png?fit=max\&auto=format\&n=eC2smNZTZjZjvk8E\&q=85\&s=bafe72f18f3d90049e585fdc5f567848)

## Create a dataset

1. On the **Datasets** tab, click **New dataset**.
2. Under **Dataset name**, type a name, for example `Tutor questions in Hindi`, and click **Create**.
3. On the dataset page, click **Upload .wav** and type the words spoken in the box next to it.
4. Click **Add another sample** for each other recording. To add many at once, click **Choose ZIP file** in the **Upload ZIP** box.
5. Click **Save**.

Each recording must be a `.wav` file of under 60 seconds and under 5 MB.

A dataset is also created when you upload recordings on the **Dataset** tab of a new evaluation.

![The Dataset tab of a new evaluation, with Tutor questions in Hindi typed as the dataset name and the first row filled in](https://mintcdn.com/amandalmia/eC2smNZTZjZjvk8E/images/app/stt-dataset-create.png?fit=max\&auto=format\&n=eC2smNZTZjZjvk8E\&q=85\&s=8a2bdbbe831ef499d9269e4b07717cf8)

## Change a dataset

Click a dataset on the **Datasets** tab to open it. On the dataset page you can:

* Add recordings with **Add another sample** or **Choose ZIP file**.
* Fix the words for a recording by typing in its box.
* Remove a recording with the bin button on its row. The button shows once your other changes are saved, and only while the dataset has more than one recording.
* Rename the dataset with the pencil button next to its name.

Click **Save** to keep your changes. To change the audio of a recording, remove that row and add the recording again.

![The dataset page for Tutor questions in Hindi, with three saved rows, an empty fourth row, a pencil button next to the name and a New evaluation button](https://mintcdn.com/amandalmia/eC2smNZTZjZjvk8E/images/app/stt-dataset-edit.png?fit=max\&auto=format\&n=eC2smNZTZjZjvk8E\&q=85\&s=321bbf9138e742b9b7bae93e220d4623)

## Run an evaluation on a dataset

On the dataset page, click **New evaluation**. The dataset is already chosen, so you only pick the language and models. Save any changes first.

## Delete a dataset

On the **Datasets** tab, click the bin button at the end of the dataset's row, then click **Remove**. Evaluations that used it keep their results.

![The Delete dataset window, with Cancel and Remove buttons](https://mintcdn.com/amandalmia/eC2smNZTZjZjvk8E/images/app/stt-dataset-delete.png?fit=max\&auto=format\&n=eC2smNZTZjZjvk8E\&q=85\&s=6b527d2ead4baf05e15fd151712993ed)

## Next steps

> [card] [Benchmark speech-to-text models](https://docs.calibrate.artpark.ai/quickstart/speech-to-text.md)
>
> Run an evaluation on your recordings

> [card] [Speech-to-text metrics](https://docs.calibrate.artpark.ai/core-concepts/speech-to-text.md)
>
> What each score means


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