Capitalise industry labels, drop LinkedIn and sparse social columns

Industry now uses standard casing. LinkedIn URL and the five columns populated for under 1% of rows are removed. Card links to stackscan.com reduced to citation, attribution and contact.

README.md

@@ -34,24 +34,12 @@ dataset_info:
         dtype: float64
       - name: Industry
         dtype: string
-      - name: LinkedIn URL
-        dtype: string
       - name: Locality
         dtype: string
       - name: Country
         dtype: string
       - name: TLD
         dtype: string
-      - name: Language
-        dtype: string
-      - name: Instagram
-        dtype: string
-      - name: Twitter
-        dtype: string
-      - name: YouTube
-        dtype: string
-      - name: TikTok
-        dtype: string
     splits:
       - name: train
         num_examples: 5050
@@ -69,24 +57,12 @@ dataset_info:
         dtype: float64
       - name: Industry
         dtype: string
-      - name: LinkedIn URL
-        dtype: string
       - name: Locality
         dtype: string
       - name: Country
         dtype: string
       - name: TLD
         dtype: string
-      - name: Language
-        dtype: string
-      - name: Instagram
-        dtype: string
-      - name: Twitter
-        dtype: string
-      - name: YouTube
-        dtype: string
-      - name: TikTok
-        dtype: string
     splits:
       - name: train
         num_examples: 14697
@@ -104,24 +80,12 @@ dataset_info:
         dtype: float64
       - name: Industry
         dtype: string
-      - name: LinkedIn URL
-        dtype: string
       - name: Locality
         dtype: string
       - name: Country
         dtype: string
       - name: TLD
         dtype: string
-      - name: Language
-        dtype: string
-      - name: Instagram
-        dtype: string
-      - name: Twitter
-        dtype: string
-      - name: YouTube
-        dtype: string
-      - name: TikTok
-        dtype: string
       - name: Certificate Authority
         dtype: string
     splits:
@@ -146,7 +110,7 @@ configs:
 
 ## Overview
 
-This dataset lists 5,050 large companies and organizations whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context: industry, employee band, country, locality, founding year and LinkedIn profile.
+This dataset lists 5,050 large companies and organizations whose websites were found to use SSL/TLS certificates issued by Let's Encrypt. Each row carries firmographic context: industry, employee band, country, locality and founding year.
 
 Rows are ordered by website popularity rank, and the file covers the most popular slice of a larger pool of large organizations found to use Let's Encrypt. It is not a list of the world's largest or most popular organizations, and the rank is a property of the website rather than a measure of the organization's size or importance.
 
@@ -154,8 +118,6 @@ Collected in August 2026. Certificate choices change, so treat the data as a sna
 
 It is intended for technology research, cybersecurity analysis, technographic research, competitive intelligence, market analysis and data science.
 
-Full Let's Encrypt statistics, including the global heatmap, usage by country and by industry, and the top websites, are published at [StackScan](https://www.stackscan.com/technology/lets-encrypt).
-
 ## Dataset Highlights
 
 * Collected in August 2026
@@ -171,7 +133,7 @@ Let's Encrypt is a free, automated, and open Certificate Authority that provides
 
 ## Dataset Fields
 
-Three files share the same 15 columns. The comparison file adds a sixteenth.
+Three files share the same 9 columns. The comparison file adds a tenth.
 
 | Config | File | Rows | Contents |
 | ------ | ---- | ---- | -------- |
@@ -191,23 +153,15 @@ Coverage below is for `Lets-Encrypt.csv`. It is a little lower in the full set,
 
 | Column | Type | Coverage | Description |
 | ------ | ---- | -------- | ----------- |
-| `Popularity Rank` | int64 | 100% | Website popularity rank, lower being more popular. Ranges from 5 to 1,959,064. Rows are stored in ascending rank order |
-| `Domain` | string | 100% | Primary website domain. Unique across the file |
-| `Company Name` | string | 100% | Company or organization name, lowercased |
-| `Company Size` | string | 100% | Employee band. Two values: `5001-10000` (2,245 rows) and `10001+` (2,805 rows) |
+| `Popularity Rank` | int64 | 100.0% | Website popularity rank, lower being more popular. Rows are stored in ascending rank order |
+| `Domain` | string | 100.0% | Primary website domain. Unique across the file |
+| `Company Name` | string | 100.0% | Organization name, lowercased |
+| `Company Size` | string | 100.0% | Employee band. Two values: `5001-10000` and `10001+` |
 | `Year Founded` | float64 | 73.4% | Founding year |
-| `Industry` | string | 99.7% | Industry label, lowercased. 142 distinct values |
-| `LinkedIn URL` | string | 100% | Company LinkedIn profile path |
+| `Industry` | string | 99.7% | Industry label |
 | `Locality` | string | 85.1% | City or region, where available |
-| `Country` | string | 100% | Organization or website country. 140 distinct values |
-| `TLD` | string | 100% | Top-level domain. 355 distinct values |
-| `Language` | string | 0.6% | Detected site language |
-| `Instagram` | string | 0.4% | Instagram handle |
-| `Twitter` | string | 0.2% | Twitter handle |
-| `YouTube` | string | 0.2% | YouTube channel |
-| `TikTok` | string | 0.1% | TikTok handle |
-
-The language and social columns are populated for fewer than 1% of rows.
+| `Country` | string | 100.0% | Organization or website country |
+| `TLD` | string | 100.0% | Top-level domain |
 
 ## Comparison Group
 
@@ -215,7 +169,7 @@ The language and social columns are populated for fewer than 1% of rows.
 
 It was built with the same filters as the adopter data: 5,001 or more employees, company information required, collected August 2026. The two groups share no domains.
 
-Columns are the 15 above plus `Certificate Authority`, naming the authority or authorities detected. 971 organizations were detected with more than one, written pipe separated.
+Columns are the 9 above plus `Certificate Authority`, naming the authority or authorities detected. 971 organizations were detected with more than one, written pipe separated.
 
 | Certificate authority | Organizations | Share |
 | --------------------- | ------------- | ----- |
@@ -284,8 +238,6 @@ BibTeX:
 }
 ```
 
-Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technology/lets-encrypt).
-
 ## Related
 
 [stackscan/email-authentication](https://huggingface.co/datasets/stackscan/email-authentication) records SPF and DMARC adoption across 36,120 large organizations. It uses the same population definition and collection period, so the two can be joined on `Domain`.
@@ -294,7 +246,7 @@ Source page: [Let's Encrypt usage statistics](https://www.stackscan.com/technolo
 
 The files in this repository are CC BY 4.0 and free for anyone to use, including commercially. No request or permission is needed.
 
-StackScan also provides free access to larger and custom datasets for data journalists, academic researchers, non-profits and other organizations working on non-commercial projects. Ask through [stackscan.com](https://www.stackscan.com/technology/lets-encrypt).
+StackScan also provides free access to larger and custom datasets for data journalists, academic researchers, non-profits and other organizations working on non-commercial projects. Ask through [stackscan.com](https://www.stackscan.com).
 
 ## License