Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,76 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- text-classification
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
tags:
|
| 8 |
+
- techstars
|
| 9 |
+
- accelerator
|
| 10 |
+
- startup
|
| 11 |
+
- portfolio
|
| 12 |
+
- founders
|
| 13 |
+
pretty_name: Techstars Companies
|
| 14 |
+
size_categories:
|
| 15 |
+
- n<1K
|
| 16 |
+
---
|
| 17 |
+
|
| 18 |
+
# Techstars Companies — Preview
|
| 19 |
+
|
| 20 |
+
A compact sample of Techstars portfolio records for testing and evaluation. To get the complete dataset with broader coverage, historical depth, and updates, visit https://www.thedataoutlet.com.
|
| 21 |
+
|
| 22 |
+
> Buy the full dataset: https://www.thedataoutlet.com
|
| 23 |
+
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
## What you get in this preview
|
| 27 |
+
|
| 28 |
+
- One CSV under 1,000 rows
|
| 29 |
+
- Company names, program info, locations, categories, and links
|
| 30 |
+
|
| 31 |
+
**File list**
|
| 32 |
+
|
| 33 |
+
- TechStars_Companies.csv
|
| 34 |
+
|
| 35 |
+
## Quickstart
|
| 36 |
+
|
| 37 |
+
import pandas as pd
|
| 38 |
+
df = pd.read_csv("TechStars_Companies.csv")
|
| 39 |
+
df.head()
|
| 40 |
+
|
| 41 |
+
## Suggested schema
|
| 42 |
+
|
| 43 |
+
| Column | Type | Notes |
|
| 44 |
+
|-----------------|--------|--------------------------------------|
|
| 45 |
+
| Company Name | string | |
|
| 46 |
+
| Program | string | e.g., Techstars NYC 2023 |
|
| 47 |
+
| Batch | string | Season or year label |
|
| 48 |
+
| Category | string | Sector or tag |
|
| 49 |
+
| City | string | |
|
| 50 |
+
| Country | string | |
|
| 51 |
+
| Website | string | |
|
| 52 |
+
| LinkedIn | string | |
|
| 53 |
+
| Twitter | string | |
|
| 54 |
+
| Description | string | Short blurb |
|
| 55 |
+
| Date Accessed | string | Collection timestamp |
|
| 56 |
+
|
| 57 |
+
## Uses
|
| 58 |
+
|
| 59 |
+
- Benchmarking accelerator outcomes
|
| 60 |
+
- Sourcing by sector, geography, or program
|
| 61 |
+
- Enrichment for deal flow tools
|
| 62 |
+
|
| 63 |
+
## Get the complete dataset
|
| 64 |
+
|
| 65 |
+
The full version ships with more rows, added attributes, normalized categories, and refresh cadence.
|
| 66 |
+
|
| 67 |
+
Purchase here: https://www.thedataoutlet.com
|
| 68 |
+
|
| 69 |
+
## License and terms
|
| 70 |
+
|
| 71 |
+
- Evaluation only. No redistribution. No resale.
|
| 72 |
+
- Use implies acceptance of terms on the purchase page.
|
| 73 |
+
|
| 74 |
+
## Support
|
| 75 |
+
|
| 76 |
+
Questions or custom fields needed? Reach out via https://www.thedataoutlet.com and mention “Techstars Companies”.
|