Glossary
Machine Learning Corpus
Machine Learning Corpus is training data assembled for machine-learning and NLP work rather than for economic analysis; hugging-face-datasets-finance-topic-1-351-datasets records "1,352 matching repositories; individual repos range from under 1K rows to over 100M rows". Datadory's catalog of 1,744 datasets documents it directly in hugging-face-datasets-finance-topic-1-351-datasets.
What is Machine Learning Corpus?
Training data assembled for machine-learning and NLP work rather than for economic analysis.
The Hugging Face finance topic holds 1,352 community repositories ranging from under 1K to over 100M rows, containing price series, Q&A pairs, documents and instruction-tuning sets, exposed via API listing with Parquet conversion.
In this catalog it appears concretely: - hugging-face-datasets-finance-topic-1-351-datasets — "1,352 matching repositories; individual repos range from under 1K rows to over 100M rows".
Why does Machine Learning Corpus matter when choosing a dataset?
A label on a listing is not a deliverable. Teams that license on the strength of a product-name match routinely find the shipped files cover a narrower slice than they assumed, and backfilling history afterwards costs more than the license ever did.
The failure mode is concrete: a source can carry the Machine Learning Corpus label while differing from what you need on exactly the dimension that matters — 1,352 matching repositories; individual repos range from under 1K rows to over 100M rows. Comparing two sources on that line usually settles the choice faster than any feature matrix.
You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and hugging-face-datasets-finance-topic-1-351-datasets lets you inspect the real artifact before any budget is committed.
How do you evaluate Machine Learning Corpus in a data source?
Treat every claim of this attribute as testable:
- Open hugging-face-datasets-finance-topic-1-351-datasets and confirm its record — "1,352 matching repositories; individual repos range from under 1K rows to over 100M rows" — against the files you actually receive.
- Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
- Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
- Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.
See the term applied to real records: specialized-finance data.
Related terms
Adjacent concepts worth reading next: - croissant metadata - earnings transcripts - Per-Repository License
Frequently asked questions
What is an example of Machine Learning Corpus?
hugging-face-datasets-finance-topic-1-351-datasets is the clearest example in this catalog. Its record states: "1,352 matching repositories; individual repos range from under 1K rows to over 100M rows". Across all 1,744 datasets Datadory averages a quality score of 7.81 out of 10, so a named example can be weighed rather than trusted blindly.
Is data described as "Machine Learning Corpus" free to use?
Treat access and permission separately. 82.4% of the 1,744 datasets in this catalog are free to access, but 235 are freemium and 61 are paid outright, so confirm both the price and the license on the exact distribution before building on it.
Datasets containing this field
Datasets containing Machine Learning Corpus
3 datasets carry machine learning corpus in the catalog. Open one, count the fields, judge for yourself.
SBA Open Data Portal
World Bank Financial Sector Indicators
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