[
  {
    "id": "chengsenwang/tsqa",
    "name": "TSQA",
    "description": "Time-series question answering: a series plus a question/answer per sample.",
    "version": "1.0.0",
    "license": "Apache-2.0",
    "domains": [
      "general"
    ],
    "tags": [
      "qa",
      "time-series",
      "huggingface"
    ],
    "source_url": "https://huggingface.co/datasets/ChengsenWang/TSQA"
  },
  {
    "id": "physionet/ecg-qa-cot",
    "name": "ECG-QA CoT",
    "description": "12-lead PTB-XL ECGs paired with clinical questions, short answers, and chain-of-thought rationales for reasoning fine-tuning.",
    "version": "1.0.0",
    "license": "CC-BY-4.0",
    "domains": [
      "cardiology",
      "health"
    ],
    "tags": [
      "ecg",
      "qa",
      "cot",
      "physionet"
    ],
    "source_url": "https://physionet.org/content/ptb-xl/"
  },
  {
    "id": "timenet/hello-world",
    "name": "Hello World",
    "description": "A synthetic demo dataset exercising every TimeF feature.",
    "version": "1.0.0",
    "license": "CC-BY-4.0",
    "domains": [
      "general"
    ],
    "tags": [
      "demo",
      "synthetic"
    ],
    "source_url": null
  },
  {
    "id": "timenet/test-mean",
    "name": "Test Mean",
    "description": "A synthetic binary-classification demo: each sample is one noisy signal labeled by whether its mean is above or below zero. Balanced and deterministic; backs the end-to-end training example.",
    "version": "1.0.0",
    "license": "CC-BY-4.0",
    "domains": [
      "general"
    ],
    "tags": [
      "demo",
      "synthetic",
      "classification"
    ],
    "source_url": null
  }
]