Natalia Elvira's picture

Natalia Elvira

nataliaElv

·

AI & ML interests

Data curation, high-quality data, multilinguality, NLP & computational linguistics

Recent Activity

posted an update 20 days ago

New chapter in the Hugging Face NLP course! 🤗 🚀 We've added a new chapter about the very basics of Argilla to the Hugging Face NLP course. Learn how to set up an Argilla instance, load & annotate datasets, and export them to the Hub. Any feedback for improvements welcome! https://huggingface.co/learn/nlp-course/chapter10

reacted to davanstrien's post with 🚀 27 days ago

The https://huggingface.co/datasets/data-is-better-together/fineweb-c dataset is growing! This week a few more languages have got 1,000 annotations for the educational quality of data from https://huggingface.co/datasets/HuggingFaceFW/fineweb-2. Why should you care? The quality of pre-training data can have a big impact on the performance of downstream language models trained on that data (https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1). Being able to filter by educational quality is on way of improving the quality of the data you use for training an LLM. Very importantly this approach can also reduce the amount of data needed for pertaining. Why not use an LLM? LLMs can be used to annotate educational quality for a subset of data. This data can then be used to train a smaller encoder only model to label the full dataset. However, this may not work well for languages outside of english. This is where fineweb-c (community) comes in. The community is annotating the educational quality of fineweb2 data. Currently 114 languages have some annotations. These annotations will enable a number of things: - Evaluate whether an LLM can label the educational quality for texts in that language well - Directly be used for training quality classifiers - Help discover other rules and huerisitcs for refining fineweb2 further for different languages. This week the following languages where done: Swedish thanks to: @Lauler @AntonVic @ohallstrom @bjarlestam @menbom @Ekgren @apsod Ukrainian thanks to: @hannayukhymenko @robinhad @realPivo @RabotiahovDmytro @reciprocate Assamese thanks to: @moyoor97 @Arpanjyoti @nawaf-helmi123 @pahigogoi1 @aelhence @kishorekashyap Want to learn more: https://huggingface.co/blog/davanstrien/fineweb2-community Contribute yourself here: https://huggingface.co/spaces/data-is-better-together/fineweb-c

posted an update 28 days ago

Do you want to easily save annotations to a Dataset in the Hub? In the last version of Argilla (v2.6.0), you can export your data directly from the UI to the Hub. Check all the changes and update to the latest version: https://github.com/argilla-io/argilla/releases/tag/v2.6.0

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nataliaElv's activity

New activity in nataliaElv/argilla-progress 2 months ago

Update app.py

#1 opened 2 months ago by

davidberenstein1957

New activity in huggingface-course/documentation-images 3 months ago

More Argilla screenshots

#4 opened 3 months ago by

argilla-chapter-images

#3 opened 3 months ago by

Chapter 10 images

#2 opened 3 months ago by

New activity in nataliaElv/argilla 3 months ago

Test

#1 opened 3 months ago by

New activity in owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH 10 months ago

Reconstruct tree of labels in the dataset

#2 opened 10 months ago by

New activity in nataliaElv/test_spans_dataset 11 months ago

Librarian Bot: Add language metadata for dataset

#2 opened 11 months ago by

New activity in somosnlp/somos-alpaca-es almost 2 years ago

Create guia-de-anotacion.md

#3 opened almost 2 years ago by

Draft: create guia-de-anotacion.md

#2 opened almost 2 years ago by

Draft: create guia-de-anotacion.md

#1 opened almost 2 years ago by

New activity in bertin-project/alpaca-spanish almost 2 years ago

`DatasetGenerationError` when loading the dataset

#1 opened almost 2 years ago by

`DatasetGenerationError` when loading the dataset

#1 opened almost 2 years ago by