Exploring training datasets with search and analysis tools helps practitioners develop a nuanced intuition for what is in the data, and therefore their model. Data can be difficult to understand, summarize or document without hands-on exploration.
12 Data Search, Analysis, & Exploration Resources for Foundation Models
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Data Exploration
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AI2 C4 Search Tool
A search tool that lets users to execute full-text queries to search Google’s C4 Dataset.
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Data Finder
A tool to help build search over academic datasets given a natural language description of the idea.
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Data Provenance Explorer
An explorer tool for selecting, filtering, and visualizing popular finetuning, instruction, and alignment training datasets from Hugging Face, based on their metadata such as source, license, languages, tasks, topics, among other properties.
GAIA Search Tool
A search tool over C4, the Pile, ROOTS, and the text captions of LAION, developed with Pyserini (https://github.com/castorini/pyserini) .
Hugging Face Data Measurements Tool
A tool to analyze, measure, and compare properties of text finetuning data, including their distributional statistics, lengths, and vocabularies.
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ROOTS Search Tool
A tool, based on a BM25 index, to search over text for each language or group of languages included in the ROOTS pretraining dataset.
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WIMBD
A dataset analysis tool to count, search, and compare attributes across several massive pretraining corpora at scale, including C4, The Pile, and RedPajama.
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