Dataset
Indian-IPO-2006-2025
Records of initial public offerings launched on Indian markets between 2006 and 2025, with fields covering open and close dates, listing date, face value, issue price and size, lot size, first-day price, total shares offered and their allocation across anchor, NII, QIB and retail categories, minimum investment, and subscription figures for each investor class.
Data preview
Dataset card
The Indian-IPO-2006-2025 dataset is a tabular compilation of Indian initial public offerings from 2006 through 2025, published on the Hugging Face Hub under the Coder-Dragon account. It captures offering mechanics and investor category allocations for each deal.
What this dataset contains
The dataset covers IPOs issued on Indian exchanges over a roughly twenty-year window and is delivered as a single CSV file with 2,067 records in the published train split. Fields are typed as strings throughout, and several allocation and subscription columns appear sparsely populated in the masked samples. The license tag references Apache-2.0, though the publisher metadata leaves the license formally unstated.
Structure and fields
Each row is keyed by Company and includes offering timeline fields (Open Date, Close Date, Listing Date), pricing fields (Face Value, Issue Price, Issue Size, Price Listing On, Minimum Investment, Issue Amount (Rs.cr.)), allocation fields across investor categories (Total Shares Offered, Anchor Investors Shared Offered, NII Shares Offered, QIB Shares Offered, RII Shares Offered, Other Shares Offered, Market Maker Shares Offered), subscription outcomes (Total Subscription, QIB Subscription, RII Subscription, NII Subscription), a Lot Size column, and an Ipo URL pointing to the source listing.
How analysts use it
Equity and IPO-focused analysts can use the dataset to study Indian primary-market activity, including the distribution of shares across QIB, NII, RII and anchor categories and the relationship between Total Subscription and listing outcomes. The inclusion of an Ipo URL makes it a useful starting point for back-testing book-building demand or comparing deal sizes across cycles. As with any community-published extract, users should reconcile the figures against exchange filings before relying on them for investment decisions.
Documentation & references 1
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