Spaces:
Running
Running
| <style> | |
| .ys-root { | |
| font-family: ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; | |
| max-width: 1040px; | |
| margin: 0 auto; | |
| padding: 24px 12px; | |
| color: #17151f; | |
| } | |
| .ys-hero { | |
| position: relative; | |
| overflow: hidden; | |
| background: linear-gradient(135deg, #dbeafe 0%, #f1e8ff 58%, #fff7d6 100%); | |
| border: 1.5px solid #2f2a7c; | |
| border-radius: 18px; | |
| padding: 28px 32px; | |
| margin-bottom: 22px; | |
| } | |
| .ys-hero::after { | |
| content: ""; | |
| position: absolute; | |
| width: 220px; | |
| height: 220px; | |
| right: -90px; | |
| top: -90px; | |
| border-radius: 999px; | |
| background: rgba(88, 80, 236, 0.14); | |
| } | |
| .ys-badge { | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 6px; | |
| border-radius: 999px; | |
| padding: 5px 14px; | |
| margin-bottom: 13px; | |
| font-size: 11px; | |
| font-weight: 800; | |
| letter-spacing: .08em; | |
| text-transform: uppercase; | |
| } | |
| .ys-badge-main { | |
| background: #2f2a7c; | |
| color: #f4f1ff; | |
| } | |
| .ys-badge-blue { | |
| background: #123c69; | |
| color: #e8f3ff; | |
| } | |
| .ys-badge-purple { | |
| background: #5a2a83; | |
| color: #f7ebff; | |
| } | |
| .ys-badge-gold { | |
| background: #5f4200; | |
| color: #fff4cf; | |
| } | |
| .ys-badge-dark { | |
| background: #25212d; | |
| color: #f3f0f8; | |
| } | |
| .ys-title { | |
| position: relative; | |
| z-index: 1; | |
| margin: 0 0 8px 0; | |
| color: #21185f; | |
| font-size: 30px; | |
| line-height: 1.08; | |
| font-weight: 800; | |
| letter-spacing: -0.04em; | |
| } | |
| .ys-subtitle { | |
| position: relative; | |
| z-index: 1; | |
| margin: 0 0 16px 0; | |
| color: #413a6d; | |
| font-size: 15px; | |
| line-height: 1.55; | |
| max-width: 820px; | |
| } | |
| .ys-tags { | |
| position: relative; | |
| z-index: 1; | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 8px; | |
| margin-top: 16px; | |
| } | |
| .ys-tag { | |
| display: inline-flex; | |
| align-items: center; | |
| border-radius: 999px; | |
| padding: 6px 12px; | |
| background: rgba(255, 255, 255, 0.66); | |
| border: 1px solid rgba(47, 42, 124, 0.18); | |
| color: #21185f; | |
| font-size: 12px; | |
| font-weight: 700; | |
| } | |
| .ys-grid { | |
| display: grid; | |
| grid-template-columns: repeat(2, minmax(0, 1fr)); | |
| gap: 22px; | |
| margin-bottom: 22px; | |
| } | |
| .ys-card { | |
| border-radius: 16px; | |
| padding: 22px 26px; | |
| border: 1.5px solid; | |
| } | |
| .ys-card h2, | |
| .ys-card h3 { | |
| margin: 0 0 10px 0; | |
| font-size: 18px; | |
| line-height: 1.25; | |
| font-weight: 750; | |
| } | |
| .ys-card p { | |
| margin: 0; | |
| font-size: 13px; | |
| line-height: 1.55; | |
| } | |
| .ys-card ul { | |
| margin: 10px 0 0 0; | |
| padding-left: 18px; | |
| font-size: 13px; | |
| line-height: 1.55; | |
| } | |
| .ys-tatar { | |
| background: #eaf4ff; | |
| border-color: #123c69; | |
| } | |
| .ys-tatar h2, | |
| .ys-tatar h3 { | |
| color: #123c69; | |
| } | |
| .ys-english { | |
| background: #f6ecff; | |
| border-color: #5a2a83; | |
| } | |
| .ys-english h2, | |
| .ys-english h3 { | |
| color: #5a2a83; | |
| } | |
| .ys-projects { | |
| background: #fff2c9; | |
| border-color: #5f4200; | |
| } | |
| .ys-projects h2, | |
| .ys-projects h3 { | |
| color: #5f4200; | |
| } | |
| .ys-community { | |
| background: #ecffe9; | |
| border-color: #245b1a; | |
| } | |
| .ys-community h2, | |
| .ys-community h3 { | |
| color: #245b1a; | |
| } | |
| .ys-divider { | |
| border: 0; | |
| border-top: 1px solid currentColor; | |
| opacity: .18; | |
| margin: 16px 0 12px 0; | |
| } | |
| .ys-links { | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 8px; | |
| margin-top: 14px; | |
| } | |
| .ys-link, | |
| .ys-pill { | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 6px; | |
| border-radius: 999px; | |
| padding: 7px 13px; | |
| font-size: 12px; | |
| font-weight: 700; | |
| text-decoration: none ; | |
| } | |
| .ys-link { | |
| background: rgba(255, 255, 255, 0.72); | |
| border: 1px solid rgba(0, 0, 0, 0.12); | |
| color: inherit ; | |
| } | |
| .ys-resources { | |
| background: #24212d; | |
| color: #f5f2fb; | |
| border: 1.5px solid #3f394d; | |
| border-radius: 16px; | |
| padding: 24px 30px; | |
| } | |
| .ys-resources h2 { | |
| margin: 0 0 10px 0; | |
| color: #ffffff; | |
| font-size: 18px; | |
| font-weight: 750; | |
| } | |
| .ys-resources p { | |
| margin: 0; | |
| color: #d9d3e6; | |
| font-size: 13px; | |
| line-height: 1.55; | |
| } | |
| .ys-resource-grid { | |
| display: grid; | |
| grid-template-columns: repeat(3, minmax(0, 1fr)); | |
| gap: 14px; | |
| margin-top: 16px; | |
| } | |
| .ys-resource { | |
| border-radius: 14px; | |
| padding: 16px; | |
| background: #302b3b; | |
| border: 1px solid #484154; | |
| } | |
| .ys-resource h3 { | |
| margin: 0 0 6px 0; | |
| color: #ffffff; | |
| font-size: 14px; | |
| } | |
| .ys-resource p { | |
| margin: 0 0 12px 0; | |
| font-size: 12px; | |
| color: #cfc8dc; | |
| } | |
| .ys-pill { | |
| background: #ffffff; | |
| color: #25212d ; | |
| border: 1px solid #ffffff; | |
| } | |
| .ys-footer-links { | |
| display: flex; | |
| flex-wrap: wrap; | |
| gap: 8px; | |
| margin-top: 18px; | |
| } | |
| .ys-footer-links a { | |
| color: #f5f2fb ; | |
| background: #3b3548; | |
| border: 1px solid #585064; | |
| } | |
| @media (max-width: 760px) { | |
| .ys-root { | |
| padding: 18px 8px; | |
| } | |
| .ys-hero { | |
| padding: 24px 22px; | |
| } | |
| .ys-title { | |
| font-size: 25px; | |
| } | |
| .ys-grid, | |
| .ys-resource-grid { | |
| grid-template-columns: 1fr; | |
| } | |
| } | |
| </style> | |
| <div class="ys-root"> | |
| <section class="ys-hero"> | |
| <div class="ys-badge ys-badge-main">Yasalma · formerly neurotatarlar</div> | |
| <h1 class="ys-title">AI for Tatar and Turkic languages</h1> | |
| <p class="ys-subtitle"> | |
| Yasalma is a non-profit community building language and speech technologies for Tatar | |
| and other Turkic languages. Our work focuses on Natural Language Processing, speech | |
| technologies, LLMs, Text-To-Speech, and Machine Translation. | |
| </p> | |
| <div class="ys-tags"> | |
| <span class="ys-tag">Tatar language</span> | |
| <span class="ys-tag">Turkic languages</span> | |
| <span class="ys-tag">NLP</span> | |
| <span class="ys-tag">Speech technologies</span> | |
| <span class="ys-tag">LLMs</span> | |
| <span class="ys-tag">Text-To-Speech</span> | |
| <span class="ys-tag">Machine Translation</span> | |
| </div> | |
| </section> | |
| <section class="ys-grid"> | |
| <div class="ys-card ys-tatar"> | |
| <div class="ys-badge ys-badge-blue">Татарча</div> | |
| <h2>Ясалма фәһем аша телне үстерү</h2> | |
| <p> | |
| Yasalma проектының Hugging Face'тагы рәсми битенә хуш килдегез. | |
| Безнең максат — табигый телне эшкәртү һәм сөйләм технологияләре ярдәмендә | |
| татар һәм башка төрки телләр өчен заманча ЯФ коралларын булдыру. | |
| </p> | |
| <hr class="ys-divider"> | |
| <p> | |
| Без телне саклау, үстерү һәм заманча технологияләрдә куллану өчен | |
| ачык датасетлар, модельләр һәм практик инструментлар өстендә эшлибез. | |
| </p> | |
| </div> | |
| <div class="ys-card ys-english"> | |
| <div class="ys-badge ys-badge-purple">English</div> | |
| <h2>Advancing language technology</h2> | |
| <p> | |
| Welcome to the official Hugging Face page of Yasalma, formerly neurotatarlar. | |
| Our mission is to advance the Tatar language and other Turkic languages through | |
| cutting-edge AI technologies. | |
| </p> | |
| <hr class="ys-divider"> | |
| <p> | |
| We focus on practical open resources for Natural Language Processing and Speech | |
| Technologies: datasets, models, benchmarks, and tools that help bring Turkic | |
| languages into modern AI systems. | |
| </p> | |
| </div> | |
| </section> | |
| <section class="ys-grid"> | |
| <div class="ys-card ys-projects"> | |
| <div class="ys-badge ys-badge-gold">Our projects</div> | |
| <h2>Models and datasets</h2> | |
| <p> | |
| We are building and improving open resources for Tatar language AI, with a focus on: | |
| </p> | |
| <ul> | |
| <li>Grammar error correction models</li> | |
| <li>Conversational language models</li> | |
| <li>Automatic speech recognition resources</li> | |
| <li>Text-To-Speech and speech datasets</li> | |
| <li>Machine translation and language corpora</li> | |
| </ul> | |
| <div class="ys-links"> | |
| <a class="ys-link" href="https://huggingface.co/yasalma/models">Explore models</a> | |
| <a class="ys-link" href="https://huggingface.co/yasalma/datasets">Explore datasets</a> | |
| <a class="ys-link" href="https://huggingface.co/collections/yasalma/tatar-speech-datasets">Tatar Speech Datasets</a> | |
| </div> | |
| </div> | |
| <div class="ys-card ys-community"> | |
| <div class="ys-badge ys-badge-dark">How to help</div> | |
| <h2>Contribute to Tatar language technology</h2> | |
| <p> | |
| We welcome contributors interested in supporting Tatar language technology. | |
| You can help by creating and improving ML models, translating tasks, | |
| collecting and cleaning data, testing tools, or supporting the project financially. | |
| </p> | |
| <hr class="ys-divider"> | |
| <p> | |
| No programming experience is required. If you speak Tatar or another Turkic | |
| language, your language knowledge is valuable for data collection, evaluation, | |
| translation, and community feedback. | |
| </p> | |
| <div class="ys-links"> | |
| <a class="ys-link" href="https://t.me/neurotatarlar">Telegram</a> | |
| <a class="ys-link" href="https://github.com/neurotatarlar">GitHub</a> | |
| <a class="ys-link" href="https://boosty.to/yasalma">Donate</a> | |
| </div> | |
| </div> | |
| </section> | |
| <section class="ys-resources"> | |
| <div class="ys-badge ys-badge-dark">Hugging Face resources</div> | |
| <h2>Open resources for the community</h2> | |
| <p> | |
| Browse Yasalma's public Hugging Face work: models, datasets, Spaces, and curated | |
| collections for Tatar speech and language technology. | |
| </p> | |
| <div class="ys-resource-grid"> | |
| <div class="ys-resource"> | |
| <h3>Models</h3> | |
| <p> | |
| ASR, TTS, language modeling, and other experimental AI models for Tatar language tasks. | |
| </p> | |
| <a class="ys-pill" href="https://huggingface.co/yasalma/models">View models</a> | |
| </div> | |
| <div class="ys-resource"> | |
| <h3>Datasets</h3> | |
| <p> | |
| Corpora, speech datasets, OCR benchmarks, translation data, and other language resources. | |
| </p> | |
| <a class="ys-pill" href="https://huggingface.co/yasalma/datasets">View datasets</a> | |
| </div> | |
| <div class="ys-resource"> | |
| <h3>Spaces</h3> | |
| <p> | |
| Interactive demos, annotation tools, experiments, and community-facing applications. | |
| </p> | |
| <a class="ys-pill" href="https://huggingface.co/yasalma/spaces">View Spaces</a> | |
| </div> | |
| </div> | |
| <div class="ys-footer-links"> | |
| <a class="ys-link" href="https://huggingface.co/yasalma">Organization profile</a> | |
| <a class="ys-link" href="https://huggingface.co/collections/yasalma/tatar-speech-datasets">Tatar Speech Datasets collection</a> | |
| <a class="ys-link" href="https://t.me/neurotatarlar">Join on Telegram</a> | |
| <a class="ys-link" href="https://boosty.to/yasalma">Support on Boosty</a> | |
| </div> | |
| </section> | |
| </div> |