Datasets:
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README.md
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- **Repository: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact: [email protected]**
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### Dataset Summary
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This collection of datasets are machine-translated (and soon curated) versions of the `databricks-dolly-15k` [dataset](https://github.com/databrickslabs/dolly/tree/master/data) originally created by Databricks, Inc. in 2023.
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The goal is to give practitioners a starting point for training open-source instruction-following models beyond English. However, as the translation quality will not be perfect, we highly recommend dedicating time to curate and fix translation issues. Below we explain how to load the datasets into Argilla for data curation and fixing. Additionally, we'll be improving the datasets made available here, with the help of different communities.
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**We highly recommend dataset curation beyond proof-of-concept experiments.**
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### Supported Tasks and Leaderboards
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As described in the README of the original dataset, this dataset can be used for:
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### Data Splits
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## Dataset Creation
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- **Repository: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact: [email protected], https://github.com/argilla-io/argilla**
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### Dataset Summary
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This collection of datasets are machine-translated (and soon curated) versions of the `databricks-dolly-15k` [dataset](https://github.com/databrickslabs/dolly/tree/master/data) originally created by Databricks, Inc. in 2023.
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The goal is to give practitioners a starting point for training open-source instruction-following models beyond English. However, as the translation quality will not be perfect, we highly recommend dedicating time to curate and fix translation issues. Below we explain how to load the datasets into [Argilla for data curation and fixing](https://github.com/argilla-io/argilla). Additionally, we'll be improving the datasets made available here, with the help of different communities.
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**We highly recommend dataset curation beyond proof-of-concept experiments.**
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If you want to browse and curate your dataset with Argilla, you can:
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1. [Duplicate this Space](https://huggingface.co/spaces/argilla/dolly-multilingual-curation/settings?duplicate=true). IMPORTANT: The Space's Visibility need to be Public, but you can setup your own password and API KEYS [following this guide](https://docs.argilla.io/en/latest/getting_started/installation/deployments/huggingface-spaces.html#setting-up-secret-environment-variables).
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2. Setup two secrets: `HF_TOKEN` and `LANG` for indicating the language split
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3. Login with `admin`/`12345678` and start browsing and labelling.
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4. Start labeling. Every 5 min the validations will be stored on a Hub dataset in your personal HF space.
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5. Please get in touch to contribute fixes and improvements to the source datasets.
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There's one split per language:
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```python
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from datasets import load_dataset
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# loads all splits
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load_dataset("argilla/databricks-dolly-15k-multilingual")
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# loads Spanish splits
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load_dataset("argilla/databricks-dolly-15k-multilingual", split="es")
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```
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### Supported Tasks and Leaderboards
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As described in the README of the original dataset, this dataset can be used for:
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### Data Splits
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There's one split per language:
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```python
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from datasets import load_dataset
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# loads all splits
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load_dataset("argilla/databricks-dolly-15k-multilingual")
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# loads Spanish splits
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load_dataset("argilla/databricks-dolly-15k-multilingual", split="es")
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```
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## Dataset Creation
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