Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<holdings: list<item: struct<ticker: string, name: string, total_value: int64, total_shares: int64, pct_portfolio: double, entries: list<item: struct<cusip: string, issuer_name: string, value: int64, shares: int64, pct_portfolio: double>>>>, fund_name: string, total_value: int64, period: string, available_quarters: list<item: string>>
to
List({'cusip': Value('string'), 'put_call': Value('string'), 'name': Value('string'), 'action': Value('string'), 'old_shares': Value('int64'), 'new_shares': Value('int64'), 'old_value': Value('int64'), 'new_value': Value('int64'), 'delta_shares': Value('int64'), 'transaction_value': Value('float64')})
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<holdings: list<item: struct<ticker: string, name: string, total_value: int64, total_shares: int64, pct_portfolio: double, entries: list<item: struct<cusip: string, issuer_name: string, value: int64, shares: int64, pct_portfolio: double>>>>, fund_name: string, total_value: int64, period: string, available_quarters: list<item: string>>
              to
              List({'cusip': Value('string'), 'put_call': Value('string'), 'name': Value('string'), 'action': Value('string'), 'old_shares': Value('int64'), 'new_shares': Value('int64'), 'old_value': Value('int64'), 'new_value': Value('int64'), 'delta_shares': Value('int64'), 'transaction_value': Value('float64')})

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

πŸ“Š Institution Holdings Dashboard

SEC EDGAR 13F filings β€” cleaned, structured, and ready to use. 42 top hedge funds Β· 10+ years of history Β· Weekly auto-updates Β· Zero auth required

Downloads License: MIT Data Source Live Dashboard GitHub Buy Me a Coffee

Buy Me a Coffee


πŸ“Œ Overview

This dataset contains cleaned, structured institutional holdings data parsed directly from SEC EDGAR 13F-HR filings. It powers a public intelligence platform tracking what the world's top hedge funds are buying and selling β€” quarter by quarter.

Everything in this dataset is freely derived from public SEC EDGAR filings.

Stat Value
🏦 Managers tracked 42 top institutional investors
πŸ“… History depth 10+ years (40+ quarters per manager)
πŸ”„ Update frequency Weekly (every Sunday via GitHub Actions)
πŸ’Ύ Full database ~600 MB SQLite (cache.db)
πŸ“ Pre-built API Static JSON files β€” no auth, no rate limits
🌐 Live demo Open Dashboard β†’

🏦 Tracked Institutions

Includes top hedge funds and asset managers such as:

Berkshire Hathaway Β· Bridgewater Associates Β· Soros Fund Management Β· Renaissance Technologies Β· Pershing Square Β· Druckenmiller Capital Β· Tiger Global Β· Citadel Β· Viking Global Β· Coatue Management Β· D1 Capital Partners Β· Third Point Β· Greenlight Capital Β· Appaloosa Management Β· Baupost Group Β· Lone Pine Capital Β· Two Sigma Β· Point72 Β· Elliott Management Β· Farallon Capital Β· Jana Partners Β· Maverick Capital Β· Eminence Capital Β· Glenview Capital Β· Highfields Capital Β· Pzena Investment Management Β· Southeastern Asset Management Β· ValueAct Capital Β· Corvex Management Β· Starboard Value Β· Sachem Head Capital Β· Trian Fund Management Β· Luxor Capital Β· Omega Advisors Β· Gotham Asset Management Β· Icahn Associates Β· Armistice Capital Β· OrbiMed Advisors Β· Redmile Group Β· Rock Springs Capital Β· Venrock Healthcare Capital Β· Whale Rock Capital


πŸ“‚ Dataset Contents

Kasher13/Institutional-Holdings-Dashboard/
β”‚
β”œβ”€β”€ cache.db                              ← Full SQLite database (~600 MB)
β”‚
└── api/                                  ← Pre-built static JSON endpoints
    β”œβ”€β”€ meta.json                         ← Dataset metadata & stats
    β”œβ”€β”€ managers/
    β”‚   β”œβ”€β”€ popular.json                  ← List of all 42 tracked managers
    β”‚   β”œβ”€β”€ {cik}.json                    ← Manager profile + filing history
    β”‚   β”œβ”€β”€ {cik}/history.json            ← Top holdings across all quarters
    β”‚   └── {cik}/holdings/{year}/{q}.json ← Holdings for a specific quarter
    β”œβ”€β”€ stocks/
    β”‚   β”œβ”€β”€ popular.json                  ← Popular tracked stocks
    β”‚   └── {cusip}/holders/latest/latest.json ← Top institutional holders
    └── search/
        β”œβ”€β”€ managers.json                 ← Full manager search index
        └── stocks.json                  ← Full stock/CUSIP search index

CIK = SEC Central Index Key (10-digit, zero-padded, e.g. 0001067983 for Berkshire Hathaway) CUSIP = 9-character stock identifier (e.g. 037833100 for Apple)


πŸ”Œ API Usage (No Auth Required)

All JSON files are served via Hugging Face's global CDN β€” no API key, no rate limiting, no server needed.

Base URL

https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api

Python

import requests

BASE = "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api"

# ── List all tracked managers ─────────────────────────────────────────────
managers = requests.get(f"{BASE}/managers/popular.json").json()
for m in managers["data"]:
    print(f"{m['name']}  (CIK: {m['cik']})")

# ── Berkshire Hathaway's latest holdings ─────────────────────────────────
q = requests.get(f"{BASE}/managers/0001067983/holdings/2024/4.json").json()
for h in q["data"]["holdings"][:10]:
    print(f"  {h['issuer_name']:40s}  ${h['value']:>15,}  ({h['pct_portfolio']:.1f}%)")

# ── Who holds Apple? (CUSIP 037833100) ────────────────────────────────────
apple = requests.get(f"{BASE}/stocks/037833100/holders/latest/latest.json").json()
for holder in apple["data"]["holders"][:5]:
    print(f"  {holder['manager_name']:40s}  {holder['shares']:>15,} shares")

# ── Manager portfolio history (top holdings over time) ────────────────────
history = requests.get(f"{BASE}/managers/0001067983/history.json").json()
for quarter in history["data"]["periods"][:5]:
    print(quarter)

JavaScript / TypeScript

const BASE =
  "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api";

// List all tracked managers
const { data: managers } = await fetch(`${BASE}/managers/popular.json`).then(r => r.json());
managers.forEach(m => console.log(`${m.name} β€” CIK: ${m.cik}`));

// Citadel's portfolio history
const { data: history } = await fetch(`${BASE}/managers/0001423053/history.json`).then(r => r.json());
console.log(history.periods);

// Search index for stocks
const { data: stocks } = await fetch(`${BASE}/search/stocks.json`).then(r => r.json());
const aapl = stocks.find(s => s.cusip === "037833100");

curl

# List all managers
curl -s "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api/managers/popular.json" | python -m json.tool

# Bridgewater's profile and filings
curl -s "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api/managers/0001350694.json" | python -m json.tool

# Dataset metadata and stats
curl -s "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/api/meta.json" | python -m json.tool

πŸ—‚οΈ Data Schema

All API endpoints return a consistent wrapper:

{
  "data": { ... },
  "cached": true,
  "static": true
}

managers/popular.json β€” Manager list

{
  "data": [
    {
      "cik": "0001067983",
      "name": "BERKSHIRE HATHAWAY INC",
      "display_name": "Berkshire Hathaway",
      "filing_count": 43,
      "latest_period": "2024Q4"
    }
  ]
}

managers/{cik}/holdings/{year}/{quarter}.json β€” Quarterly holdings

{
  "data": {
    "cik": "0001067983",
    "period": "2024Q4",
    "filed_date": "2025-02-14",
    "total_value": 267000000000,
    "holdings": [
      {
        "cusip": "037833100",
        "issuer_name": "APPLE INC",
        "shares": 300000000,
        "value": 70000000000,
        "pct_portfolio": 26.2,
        "put_call": null,
        "investment_discretion": "SOLE"
      }
    ]
  }
}

Holdings fields:

Field Type Description
cusip string 9-char stock identifier
issuer_name string Company name as reported to SEC
shares integer Number of shares held (Γ—1000 per SEC convention)
value integer Market value in USD (Γ—1000 per SEC convention)
pct_portfolio float Percentage of total portfolio value
put_call string|null "Put", "Call", or null for equity
investment_discretion string "SOLE", "SHARED", or "OTHER"

stocks/{cusip}/holders/latest/latest.json β€” Institutional holders

{
  "data": {
    "cusip": "037833100",
    "issuer_name": "APPLE INC",
    "period": "2024Q4",
    "holders": [
      {
        "cik": "0001067983",
        "manager_name": "BERKSHIRE HATHAWAY INC",
        "shares": 300000000,
        "value": 70000000000,
        "pct_portfolio": 26.2
      }
    ]
  }
}

meta.json β€” Dataset statistics

{
  "data": {
    "managers_count": 42,
    "filings_count": 1820,
    "holdings_count": 485000,
    "cusips_tracked": 12000,
    "earliest_period": "2013Q4",
    "latest_period": "2024Q4",
    "last_updated": "2025-03-23T00:00:00Z"
  }
}

πŸ’Ύ Full Database Download

For bulk analysis, download the complete SQLite database (~600 MB):

https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/cache.db

SQLite schema:

-- Tracked institutional managers
CREATE TABLE managers (
    cik TEXT PRIMARY KEY,
    name TEXT,
    display_name TEXT
);

-- Individual 13F filing periods
CREATE TABLE filings (
    id INTEGER PRIMARY KEY,
    cik TEXT,
    period_of_report TEXT,   -- e.g. "2024-12-31"
    filed_date TEXT,
    total_value INTEGER
);

-- Individual stock positions per filing
CREATE TABLE holdings (
    id INTEGER PRIMARY KEY,
    filing_id INTEGER,
    cusip TEXT,
    issuer_name TEXT,
    shares INTEGER,
    value INTEGER,            -- Γ—1000 USD (SEC convention)
    put_call TEXT,
    investment_discretion TEXT
);

Example SQLite query:

import sqlite3, urllib.request

# Download once
urllib.request.urlretrieve(
    "https://huggingface.co/datasets/Kasher13/Institutional-Holdings-Dashboard/resolve/main/cache.db",
    "cache.db"
)

conn = sqlite3.connect("cache.db")

# Top 10 most widely held stocks (latest quarter)
rows = conn.execute("""
    SELECT h.issuer_name, COUNT(DISTINCT f.cik) as holders, SUM(h.value) as total_value
    FROM holdings h
    JOIN filings f ON h.filing_id = f.id
    WHERE f.period_of_report = (SELECT MAX(period_of_report) FROM filings)
    GROUP BY h.cusip
    ORDER BY holders DESC
    LIMIT 10
""").fetchall()

for name, holders, value in rows:
    print(f"{name:40s}  held by {holders:2d} managers  ${value/1e6:,.0f}M")

πŸ”„ Update Pipeline

Data is refreshed automatically every week:

Every Sunday 00:00 UTC
  └─ GitHub Actions: crawl SEC EDGAR β†’ parse 13F XML β†’ store in SQLite
  └─ Generate static JSON files for all managers/stocks/search
  └─ Upload cache.db + JSON to this Hugging Face dataset
  └─ Deploy updated dashboard to GitHub Pages

🌐 Live Dashboard

Explore the data interactively β€” no setup required:

β†’ Open Institutional Holdings Dashboard

Features:

  • Portfolio comparison between any two quarters (NEW / EXITED / INCREASED / DECREASED)
  • Historical stacked area charts (Top 30 holdings evolution)
  • Stock holder intelligence β€” who owns what and how positions changed
  • Full-text search by manager name, CIK, stock name, or CUSIP
  • Portfolio allocation pie charts

πŸ“‘ Postman Collection

Download the full API schema for Postman or Insomnia: Vantage_API_Postman_Collection.json


β˜• Support

If this dataset saves you time, consider buying me a coffee β€” it keeps the weekly crawls running!

Buy Me a Coffee


βš–οΈ License & Disclaimer

  • Code: MIT License
  • Data: Sourced from SEC EDGAR β€” free and public domain
  • Disclaimer: For informational and educational purposes only. This dataset reflects what institutions have reported to the SEC β€” not real-time positions. Nothing here constitutes financial or investment advice.

πŸ™ Credits

Built by KitTran1307 Β· Developed with Gemini Β· Data from SEC EDGAR

Buy Me a Coffee

Downloads last month
22,997