Update README.md

README.md

@@ -1,3 +1,201 @@
 ---
-license: cc-by-nc-4.0
+license: cc-by-4.0
+task_categories:
+  - audio-classification
+language:
+  - en
+tags:
+  - infant-cry-detection
+  - infant-cry-classification
+  - baby-cry-detection
+  - baby-cry-classification
+  - infant-cry
+  - baby-cry
+  - cry-detection
+  - sound-event-detection
+  - audio-classification
+  - baby-monitor
+  - smart-home
+  - smart-baby-monitor
+  - parental-tech
+  - sleep-tracking
+  - acoustic-event-detection
+  - environmental-sound
+  - real-world-audio
+  - field-recordings
+  - WAV
+  - audio-dataset
+size_categories:
+  - 1K<n<10K
+pretty_name: Infant Cry Detection Audio Dataset
+modality:
+  - audio
 ---
+# Infant Cry Detection Dataset — 50+ Hours of Real Baby Cry Audio
+
+**50+ hours of real infant cry recordings** for training infant cry detection, cry classification, and sound event detection models. Manually verified files captured in natural domestic conditions, with per-file metadata on location, background noise, and recording device. **7× larger than the most cited academic infant cry corpus (CryCeleb, 6.5h)** — and licensed for commercial use.
+
+## Contact us and share your feedback — receive additional samples for free! 😊
+
+## Key Highlights
+
+- **50+ hours** of real-world infant cry audio
+- **Manually verified** — every recording reviewed for clear cry audibility
+- **Authenticity filter applied** — files resembling internet downloads removed
+- **Indoor + outdoor** capture conditions
+- **Background noise variation** — quiet, moderate, and noisy environments
+- **No synthetic audio, no augmentation, no AI-generated content**
+- Smartphone-first recordings (matches baby monitor deployment conditions)
+- **Commercial license available** — full version cleared for production use
+
+## Use This Dataset For
+
+- **Infant cry detection** — train binary or multi-class cry detectors for smart baby monitors, IoT cameras, and nursery devices
+- **Sound event detection (SED)** — cry as a target class in AudioSet-style models
+- **Sleep tracking applications** — detect cry events to estimate infant sleep quality
+- **Cry-aware smart home automation** — trigger lighting, audio response, or parent notifications
+- **Parental support apps** — distinguish cry from other infant sounds (cooing, babbling, fussing)
+- **Audio classification research** — clean, labeled training data on a focused class
+
+## Dataset Structure
+
+```
+infant-cry-detection-dataset/
+├── audio/
+│   ├── cry_00001.wav
+│   ├── cry_00002.m4a
+│   └── ... (WAV + M4A files)
+├── metadata.csv
+└── README.md
+```
+
+### metadata.csv schema
+
+| Field | Type | Values |
+|-------|------|--------|
+| `record_id` | string | unique recording ID |
+| `file_name` | string | path to audio file |
+| `file_ext` | string | .wav, .m4a |
+| `duration_sec` | float | 10–100 seconds |
+| `sample_rate_hz` | int | 48000 (majority), 44100, 16000 |
+| `validation_status` | string | accepted |
+| `signal_clear` | string | yes (all files confirmed clear) |
+| `recording_location` | string | indoor, outdoor |
+| `background_noise_level` | string | quiet, moderate, noisy |
+| `device_type` | string | smartphone, laptop, tablet, external_mic |
+| `codec_name` | string | pcm_s16le, aac |
+
+## Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total duration | 50+ hours |
+| File formats | WAV (majority) + M4A |
+| File duration range | 10–100 sec |
+| Sample rates | 48 kHz / 44.1 kHz / 16 kHz |
+| Recording locations | indoor + outdoor |
+| Noise conditions | quiet / moderate / noisy |
+| Capture devices | smartphone (majority), laptop, tablet, external mic |
+| Verification | manual review of every file |
+
+## How This Compares to Academic Infant Cry Datasets
+
+| Dataset | Duration | License | Best for |
+|---------|----------|---------|----------|
+| **Axon Labs Infant Cry Detection** | **50+ hours** | **Commercial** | **Production cry detection & SED** |
+| CryCeleb (Ubenwa) | 6.5 hours | CC-BY-NC-ND (research only) | Speaker verification across infant identities |
+| Donate a Cry Corpus | <1 hour | Open, crowdsourced | Cry cause classification (small-scale research) |
+
+CryCeleb and Donate a Cry remain the leading academic resources for their respective research tasks. Our dataset complements them by providing the scale and licensing required for production-grade detection models in commercial baby monitor, sleep tracking, and smart home applications.
+
+## Quick Start — Loading with 🤗 Datasets
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AxonData/infant-cry-detection-dataset")
+print(dataset)
+
+sample = dataset["train"][0]
+print(sample["audio"])                    # audio array + sampling_rate
+print(sample["recording_location"])       # e.g. "indoor"
+print(sample["background_noise_level"])   # e.g. "quiet"
+print(sample["device_type"])              # e.g. "smartphone"
+```
+
+## Quick Start — PyTorch DataLoader
+
+```python
+import torch
+from datasets import load_dataset
+
+ds = load_dataset("AxonData/infant-cry-detection-dataset", split="train")
+
+def collate(batch):
+    waveforms = [torch.tensor(item["audio"]["array"]) for item in batch]
+    metadata = [{
+        "location": item["recording_location"],
+        "noise": item["background_noise_level"]
+    } for item in batch]
+    return waveforms, metadata
+
+loader = torch.utils.data.DataLoader(ds, batch_size=8, collate_fn=collate)
+```
+
+## Sample vs Full Version
+
+This HuggingFace repository contains a **sample subset** for evaluation. The full 50+ hour dataset is licensed for commercial use through Axon Labs.
+
+**Full version of dataset is available for commercial usage — leave a request on our website [Axonlabs](https://axonlab.ai/dataset/infant-cry-dataset/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=infant-cry&utm_content=readme) to purchase the dataset 💰**
+
+## What Makes This Dataset Unique
+
+- **Largest infant cry audio corpus available commercially** — multiple times the size of leading academic alternatives
+- **Manually verified, not scraped** — every file reviewed; suspicious files removed
+- **Authenticity-filtered** — directly addresses a documented problem in open datasets (noisy, internet-sourced contamination)
+- **Real smartphone recordings** — matches deployment conditions for baby monitor apps and smart home devices
+- **Backed by a biometric AI specialist** — Axon Labs builds datasets used by 21% of iBeta 2025 certified companies
+- **GDPR-compliant, ethically sourced** — explicit parental consent for all recordings
+
+## Two Dataset Versions Available
+
+- **Sample Version** — open subset for EDA, evaluation, and proof-of-concept (this repo)
+- **Full Version** — 50+ hours of audio with complete metadata, licensed for commercial training
+
+[Contact us](https://axonlab.ai/dataset/infant-cry-dataset/) to choose the version that fits your project.
+
+## FAQ
+
+**Q: How large is this dataset compared to public alternatives?**
+The full version is 50+ hours of curated infant cry audio. The most widely cited academic alternative, CryCeleb, contains 6.5 hours of cry expirations. Donate a Cry Corpus contains less than 1 hour of crowdsourced audio with documented quality issues. By volume of verified cry audio licensed for commercial training, this is the most extensive resource currently available.
+
+**Q: Can I use this dataset to train a production baby monitor or sleep tracking app?**
+Yes — the full commercial version is licensed exactly for this. The sample version on HuggingFace is for evaluation, EDA, and proof-of-concept work. For production training, [request access to the full version](https://axonlab.ai/dataset/infant-cry-dataset/).
+
+**Q: What metadata is provided?**
+Recording location (indoor/outdoor), background noise level (quiet/moderate/noisy), recording device type (smartphone/laptop/tablet/external microphone), validation status, and per-file signal clarity confirmation. All files in the curated set have been confirmed as clear, original infant cry recordings.
+
+**Q: Are there labels for cry cause (hunger, pain, discomfort)?**
+Not in this release. The dataset is designed for cry **detection** (is a cry present) and sound event detection use cases. If you need labeled cry-cause data, we can collect a custom dataset on request through our data collection service.
+
+**Q: Is the data ethically collected?**
+Yes. All recordings were captured with explicit parental consent and documented chain of custody. Processing follows GDPR and applicable standards for audio data involving minors. Full ethical sourcing documentation is available for the commercial version.
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@misc{axonlabs2026infantcry,
+  title  = {Infant Cry Detection Audio Dataset},
+  author = {Axon Labs},
+  year   = {2026},
+  url    = {https://axonlab.ai/dataset/infant-cry-dataset/}
+}
+```
+
+---
+
+**keywords**: infant cry dataset, baby cry dataset, infant cry detection, infant cry classification, baby cry detection, sound event detection, audio classification dataset, baby monitor dataset, smart home audio, real-world infant audio, parental tech dataset
+
+Visit us at [**Axonlabs**](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=infant-cry&utm_content=footer) to request a full version of the dataset for commercial usage.