Common Voice dataset vs. ThinkData Works
A side-by-side comparison based on G2 review data.
| Metric | Common Voice dataset | ThinkData Works |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 11 | 14 |
| Ease of use | 8.4 | 9.7 |
| Ease of setup | 8.6 | 9.7 |
| Quality of support | 8.3 | 9.1 |
| Meets requirements | 8.3 | 9.2 |
| NPS | 63.636364 | 85.714286 |
| Small Business | 63.6% | 28.6% |
| Mid-Market | 27.3% | 64.3% |
| Enterprise | 9.1% | 7.1% |
| Total page views | 16 | 15 |
| Total LLM citations | 11 | 1 |
Common Voice dataset
Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.
ThinkData Works
ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing entire data warehouses, managing custom metadata and templates, and monitoring data health in real time. The result is a centralized view of refined data that can be better leveraged to drive business outcomes — with access and governance controls that support observability and compliance.