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README.md

@@ -39,8 +39,8 @@ configs:
 
 [![Hugging Face Dataset](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-sphita%2Fopenai-news-FFD21E?style=flat-square)](https://huggingface.co/datasets/sphita/openai-news)
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg?style=flat-square)](https://opensource.org/licenses/Apache-2.0)
-[![cl100k Tokens](https://img.shields.io/badge/Tokens-1097.3k%20cl100k-orange?style=flat-square)](https://huggingface.co/datasets/sphita/openai-news)
-[![Total Articles](https://img.shields.io/badge/Articles-681%20Posts-blueviolet?style=flat-square)](https://huggingface.co/datasets/sphita/openai-news)
+[![cl100k Tokens](https://img.shields.io/badge/Tokens-1097.9k%20cl100k-orange?style=flat-square)](https://huggingface.co/datasets/sphita/openai-news)
+[![Total Articles](https://img.shields.io/badge/Articles-682%20Posts-blueviolet?style=flat-square)](https://huggingface.co/datasets/sphita/openai-news)
 [![GitHub Org](https://img.shields.io/badge/GitHub-sphita-181717?style=flat-square&logo=github&logoColor=white)](https://github.com/sphita)
 
 [Overview](#-overview--executive-summary) · [Corpus & Token Stats](#-comprehensive-corpus--token-statistics) · [Chunked Dataset Structure](#-chunked-dataset-structure) · [Multimodal Assets](#-multimodal-media--visual-assets-archive) · [Section Distribution](#-section--topic-distribution) · [Yearly Trends](#-historical-yearly-distribution) · [Schema](#-dataset-schema) · [Quick Start](#-quick-start-examples)
@@ -57,7 +57,7 @@ Spanning **11+ years of transformative AI history** (2015-12-11 to 2026-10-15),
 
 ### Key Highlights
 * **Zero Container Stutter**: Custom parsing eliminates navigation noise, sidebar TOC anchors, and list container stutter.
-* **Exact Token Auditing**: Profiled using OpenAI's standard `cl100k_base` BPE tokenizer, measuring **1,097,273 total tokens**.
+* **Exact Token Auditing**: Profiled using OpenAI's standard `cl100k_base` BPE tokenizer, measuring **1,097,877 total tokens**.
 * **Zero-Leak Sharded Parquet & Streaming JSONL**: Distributed in standard Hugging Face Zstandard-compressed Parquet chunks (`data/train-00000-of-0000N.parquet`, 200 articles each) and streaming JSON Lines (`data/openai_news.jsonl`).
 * **Chunked Multimodal Media Archives (Max 500 MiB)**: Images and screenshots are split into size-bounded shards (`media/images-0000X.tar.gz`, `media/screenshots-0000X.tar.gz`) with immutable sealed historical shards for fast incremental updates.
 
@@ -65,14 +65,14 @@ Spanning **11+ years of transformative AI history** (2015-12-11 to 2026-10-15),
 
 ## 📊 Comprehensive Corpus & Token Statistics
 
-*Token volume calculated using OpenAI `cl100k_base` BPE tokenizer against all 681 articles.*
+*Token volume calculated using OpenAI `cl100k_base` BPE tokenizer against all 682 articles.*
 
 | Metric | Clean Markdown Text | Raw Payload / Metadata | Combined Archive |
 | :--- | :--- | :--- | :--- |
-| **Total Tokens (`cl100k_base`)** | **1,097,273** | — | **1,097,273** |
-| **Total Words** | **838,126** | — | **838,126** |
-| **Total Raw Character Size** | **5,473,366 chars** (5.22 MB) | — | **5.22 MB** |
-| **Average Tokens per Article** | **1611.3** tokens | — | **1611.3** tokens |
+| **Total Tokens (`cl100k_base`)** | **1,097,877** | — | **1,097,877** |
+| **Total Words** | **838,614** | — | **838,614** |
+| **Total Raw Character Size** | **5,476,619 chars** (5.22 MB) | — | **5.22 MB** |
+| **Average Tokens per Article** | **1609.8** tokens | — | **1609.8** tokens |
 | **Median Tokens per Article** | **1,267** tokens | — | **1,267** tokens |
 | **Total Parquet Size (ZSTD-9)** | — | — | **3.13 MB** (4 shards) |
 | **JSONL Streaming Size** | — | — | **11.81 MB** |
@@ -90,7 +90,7 @@ Parquet tables are sharded into standard chunks (up to 200 rows per shard) for p
 | `data/train-00001-of-00004.parquet` | Parquet (ZSTD-9) | ≤ 200 | **1.02 MB** | Canonical Hugging Face split shard |
 | `data/train-00002-of-00004.parquet` | Parquet (ZSTD-9) | ≤ 200 | **0.75 MB** | Canonical Hugging Face split shard |
 | `data/train-00003-of-00004.parquet` | Parquet (ZSTD-9) | ≤ 200 | **0.27 MB** | Canonical Hugging Face split shard |
-| `data/openai_news.jsonl` | JSON Lines (UTF-8) | 681 | **11.81 MB** | Complete streaming JSONL corpus |
+| `data/openai_news.jsonl` | JSON Lines (UTF-8) | 682 | **11.81 MB** | Complete streaming JSONL corpus |
 
 ---
 
@@ -102,8 +102,8 @@ Images and full-page rendering screenshots are split into strictly bounded archi
 | :--- | :--- | :--- | :--- | :--- | :--- |
 | **`images-00000.tar.gz`** | Cover images & inline figures | 🔒 Sealed | 982 files | **467.2 MB** | [`media/images-00000.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/images-00000.tar.gz) |
 | **`images-00001.tar.gz`** | Cover images & inline figures | 🔒 Sealed | 1,643 files | **470.0 MB** | [`media/images-00001.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/images-00001.tar.gz) |
-| **`images-00002.tar.gz`** | Cover images & inline figures | ⚡ Active | 579 files | **120.5 MB** | [`media/images-00002.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/images-00002.tar.gz) |
-| **`screenshots-00000.tar.gz`** | Full-page browser render screenshots | ⚡ Active | 681 files | **299.2 MB** | [`media/screenshots-00000.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/screenshots-00000.tar.gz) |
+| **`images-00002.tar.gz`** | Cover images & inline figures | ⚡ Active | 583 files | **121.8 MB** | [`media/images-00002.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/images-00002.tar.gz) |
+| **`screenshots-00000.tar.gz`** | Full-page browser render screenshots | ⚡ Active | 682 files | **299.6 MB** | [`media/screenshots-00000.tar.gz`](https://huggingface.co/datasets/sphita/openai-news/resolve/main/media/screenshots-00000.tar.gz) |
 
 ### Unpacking Media Assets
 
@@ -123,8 +123,8 @@ for f in media/screenshots-*.tar.gz; do tar -xzf "$f"; done
 
 | Section Name | Article Count | Clean Words | cl100k Tokens | % of Corpus | Subject Matter & Scope |
 | :--- | :--- | :--- | :--- | :--- | :--- |
-| **Company** | 229 | 199,014 | 256,206 | 33.6% | Corporate governance, philanthropic partnerships, educational initiatives, infrastructure milestones |
-| **Product** | 181 | 241,205 | 330,417 | 26.6% | Public foundation model releases, ChatGPT capabilities, API platform tooling, and enterprise features |
+| **Company** | 230 | 199,502 | 256,810 | 33.7% | Corporate governance, philanthropic partnerships, educational initiatives, infrastructure milestones |
+| **Product** | 181 | 241,205 | 330,417 | 26.5% | Public foundation model releases, ChatGPT capabilities, API platform tooling, and enterprise features |
 | **Safety** | 147 | 178,404 | 226,742 | 21.6% | Frontier AI safety evaluations, red teaming, preparedness framework, watermarking, and cyber defense |
 | **Research** | 43 | 80,913 | 105,166 | 6.3% | Fundamental deep learning theory, RL algorithms, reasoning, alignment, and model interpretability |
 | **Security** | 34 | 45,779 | 57,672 | 5.0% | Threat intelligence, counter-espionage investigations, disruption of malicious influence campaigns |
@@ -140,7 +140,7 @@ for f in media/screenshots-*.tar.gz; do tar -xzf "$f"; done
 
 | Year | Article Count | Total Words | cl100k Tokens | Major Historic Milestones |
 | :--- | :--- | :--- | :--- | :--- |
-| **2026** | 395 | 566,214 | 741,940 | Rosalind Academic Plan, Sora-2 System Cards, AI-enabled False Front Disruptions, Teens Learning & Planning |
+| **2026** | 396 | 566,702 | 742,544 | Rosalind Academic Plan, Sora-2 System Cards, AI-enabled False Front Disruptions, Teens Learning & Planning |
 | **2025** | 85 | 91,505 | 120,816 | Sora 2 General Release, GPT-4.5 System Card, GPT-4.1 Architecture, Disney Collaboration, Sycophancy Studies |
 | **2024** | 180 | 166,685 | 216,929 | GPT-4o Omnimodal Model Launch, Sora World Simulator Debut, Advanced Voice Mode, Strawberry/o1 Reasoning |
 | **2023** | 13 | 8,624 | 10,976 | GPT-4 Landmark Launch, DALL-E 3 ChatGPT Integration, Custom GPTs, Superalignment Mission |