docs: update README

CHANGELOG.md

@@ -1,8 +1,10 @@
-# Changelog
+## v1.0.1 — 2026-02-09
+- Renamed canonical CSV to `data/genai_tools_platforms_2025.csv`.
+- Updated docs to reference the new filename.
 
-All notable changes to this dataset will be documented in this file.
-
-### Added
-- Initial release of **Generative AI Tools & Platforms 2025**
-- 113 tools across categories, with 22 standardized fields
-- Includes taxonomy, modality flags, API availability, open-source status, release years, and derived capability counts
+## v1.0.0 — 2025-09-18
+- Initial release.
+- Added Generative AI tools & platforms catalog (113 rows, 22 fields).
+- Included canonical taxonomy (`category_canonical`, `modality_canonical`).
+- Included access fields (`api_available`, `api_status`, `open_source`) and timeline fields (`release_year`, `years_since_release`).
+- Included modality flags and derived modality counts.

README.md

@@ -6,107 +6,132 @@ language:
 size_categories:
   - 100<n<1K
 
-task_categories:
-  - tabular-regression
-  - tabular-classification
-
-
 tags:
   - generative-ai
   - llm
   - tools
   - platforms
-  - tabular
-  - dataset
-  - benchmarking
   - catalog
+  - benchmarking
+  - ecosystem
   - eda
+  - tabular
+  - dataset
 ---
 
-# 🧠 Generative AI Tools & Platforms 2025
+# 🧠 Generative AI Tools & Platforms (2025)
 
 **Author:** [Tarek Masryo](https://huggingface.co/TarekMasryo) · [Kaggle](https://www.kaggle.com/tarekmasryo)  
-**License:** CC BY 4.0 (Attribution) — Free for research, education, and commercial use  
+**License:** CC BY 4.0 (Attribution) — Free for research, education, and commercial use
 
 ---
 
 ## 📌 Dataset Summary
-Clean and structured dataset of **113 Generative AI tools and platforms** released up to 2025.  
-Each entry includes vendor, category, capability modalities, API availability, open-source status, release year, and derived features.  
 
-The dataset is ideal for:  
-- Mapping the Generative AI ecosystem  
-- Benchmarking API and open-source coverage  
-- Timeline analyses of tool adoption  
-- Training ML models for tool recommendation and capability scoring  
+A clean, structured catalog of **113 Generative AI tools and platforms** released up to 2025.
+
+Each row represents a single tool/platform and includes:
+- Vendor/maintainer
+- Canonical category and primary modality
+- API availability and status
+- Open-source indicator
+- Release year + derived timeline features
+- Modality flags and derived breadth count
+
+This dataset is designed for ecosystem mapping, benchmarking, and analytics workflows.
 
 ---
 
-## 🗂 Dataset Structure
+## ✅ What’s Inside
 
-**Main file:** `Generative AI Tools - Platforms 2025.csv` (1 row per tool)  
+**Main file (canonical):** `data/genai_tools_platforms_2025.csv`  
+**Unit of analysis:** 1 row = 1 tool/platform  
+**Rows:** 113  
+**Columns:** 22
 
-**Columns (22):**
-- Core info: tool_name, company, website, source_domain  
-- Taxonomy: category_canonical, modality_canonical  
-- Access: open_source, api_available, api_status  
-- Timeline: release_year, years_since_release  
-- Modality flags: mod_text, mod_image, mod_video, mod_audio, mod_code, mod_design, mod_infra, mod_productivity, mod_safety, mod_multimodal  
-- Derived: modality_count (sum of content-generating modalities)  
+### Column groups
+- **Core info:** `tool_name`, `company`, `website`, `source_domain`
+- **Taxonomy:** `category_canonical`, `modality_canonical`
+- **Access:** `open_source`, `api_available`, `api_status`
+- **Timeline:** `release_year`, `years_since_release`
+- **Modality flags:** `mod_text`, `mod_image`, `mod_video`, `mod_audio`, `mod_code`, `mod_design`, `mod_infra`, `mod_productivity`, `mod_safety`, `mod_multimodal`
+- **Derived:** `modality_count` (sum of supported modality flags)
 
 ---
 
 ## 📑 Data Dictionary
 
-| Column             | Description                                                           |
-|--------------------|-----------------------------------------------------------------------|
-| tool_name          | Tool/platform name (unique)                                           |
-| company            | Vendor/maintainer                                                     |
-| category_canonical | Standardized use-case family (e.g., LLMs, Image Gen, Video Gen, RAG)  |
-| modality_canonical | Primary capability type: text, image, video, audio, code, multimodal… |
-| open_source        | 1 if open-source, else 0                                              |
-| api_available      | 1 if public API available, else 0                                     |
-| api_status         | API status (`api` or `unavailable`)                                   |
-| website            | Official homepage (full URL)                                          |
-| source_domain      | Extracted domain for grouping                                         |
-| release_year       | First public release/launch year                                      |
-| years_since_release| Years since release (2025 − release_year)                             |
-| modality flags     | Binary indicators for text/image/video/audio/code/design/infra/…      |
-| modality_count     | Sum of content-generating modalities                                  |
+| Column | Type | Description |
+|---|---|---|
+| tool_name | string | Tool/platform name (intended unique key) |
+| company | string | Vendor/maintainer |
+| website | string | Official homepage (full URL) |
+| source_domain | string | Extracted domain for grouping (derived from `website`) |
+| category_canonical | string | Standardized use-case family (e.g., LLMs, Image Gen, Video Gen, RAG) |
+| modality_canonical | string | Primary capability type (e.g., text, image, video, audio, code, multimodal) |
+| open_source | int (0/1) | 1 if marked open-source, else 0 |
+| api_available | int (0/1) | 1 if a public API is available, else 0 |
+| api_status | string | API status (`api` or `unavailable`) |
+| release_year | int | First public release/launch year |
+| years_since_release | int | Years since release (computed as `2025 - release_year`) |
+| mod_text | int (0/1) | Supports text modality |
+| mod_image | int (0/1) | Supports image modality |
+| mod_video | int (0/1) | Supports video modality |
+| mod_audio | int (0/1) | Supports audio modality |
+| mod_code | int (0/1) | Supports code modality |
+| mod_design | int (0/1) | Supports design modality |
+| mod_infra | int (0/1) | Supports infra/dev tooling modality |
+| mod_productivity | int (0/1) | Supports productivity modality |
+| mod_safety | int (0/1) | Supports safety/moderation modality |
+| mod_multimodal | int (0/1) | Marked as multimodal (as provided in the dataset) |
+| modality_count | int | Sum of supported modality flags |
 
 ---
 
 ## 🚀 How to Use
 
+### Load with 🤗 Datasets
+
 ```python
 from datasets import load_dataset
 
-# Load dataset
-ds = load_dataset("TarekMasryo/Generative-AI-Tools-Platforms-2025")
-print(ds)
+ds = load_dataset(
+    "tarekmasryo/genai-tools-platforms-data",
+    data_files="data/genai_tools_platforms_2025.csv",
+)
 
-# Convert to pandas
-import pandas as pd
 df = ds["train"].to_pandas()
 print(df.head())
+```
 
-# Example: API coverage rate
+### Quick checks
+
+```python
+# API coverage rate
 api_rate = df["api_available"].mean()
-print("API availability:", round(api_rate, 2))
+print("API availability:", round(float(api_rate), 2))
+
+# Category distribution
+print(df["category_canonical"].value_counts().head(10))
+
+# Modality breadth
+print(df["modality_count"].describe())
 ```
 
 ---
 
 ## 💡 Use Cases
-- Build dashboards and market maps for Generative AI  
-- Analyze release trends and adoption timelines  
-- Benchmark API and open-source coverage across categories  
-- Cluster tools by capability breadth and modality mix  
-- Train ML models for tool recommendation  
+
+- Build dashboards and market maps for the GenAI landscape
+- Benchmark API and open-source coverage across categories
+- Track release trends and adoption timelines
+- Cluster tools by capability breadth and modality mix
+- Train ML models for tool recommendation and capability scoring
 
 ---
 
 ## 📜 License & Attribution
+
 - Data compiled from official websites, vendor docs, GitHub, and product pages  
 - Structured and standardized by **Tarek Masryo**  
-- Licensed under **CC BY 4.0 (Attribution)** → Free for research, education, and commercial use
+- Licensed under **CC BY 4.0 (Attribution)** → Free for research, education, and commercial use