Upload croissant.json

croissant.json

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+{
+  "@context": {
+    "@language": "en",
+    "@vocab": "https://schema.org/",
+    "arrayShape": "cr:arrayShape",
+    "citeAs": "cr:citeAs",
+    "column": "cr:column",
+    "conformsTo": "dct:conformsTo",
+    "containedIn": "cr:containedIn",
+    "cr": "http://mlcommons.org/croissant/",
+    "data": {
+      "@id": "cr:data",
+      "@type": "@json"
+    },
+    "dataBiases": "cr:dataBiases",
+    "dataCollection": "cr:dataCollection",
+    "dataType": {
+      "@id": "cr:dataType",
+      "@type": "@vocab"
+    },
+    "dct": "http://purl.org/dc/terms/",
+    "extract": "cr:extract",
+    "field": "cr:field",
+    "fileProperty": "cr:fileProperty",
+    "fileObject": "cr:fileObject",
+    "fileSet": "cr:fileSet",
+    "format": "cr:format",
+    "includes": "cr:includes",
+    "isArray": "cr:isArray",
+    "isLiveDataset": "cr:isLiveDataset",
+    "jsonPath": "cr:jsonPath",
+    "key": "cr:key",
+    "md5": "cr:md5",
+    "parentField": "cr:parentField",
+    "path": "cr:path",
+    "personalSensitiveInformation": "cr:personalSensitiveInformation",
+    "recordSet": "cr:recordSet",
+    "references": "cr:references",
+    "regex": "cr:regex",
+    "repeated": "cr:repeated",
+    "replace": "cr:replace",
+    "sc": "https://schema.org/",
+    "separator": "cr:separator",
+    "source": "cr:source",
+    "subField": "cr:subField",
+    "transform": "cr:transform",
+    "rai": "http://mlcommons.org/croissant/RAI/",
+    "prov": "http://www.w3.org/ns/prov#",
+    "examples": {
+      "@id": "cr:examples",
+      "@type": "@json"
+    },
+    "equivalentProperty": "cr:equivalentProperty",
+    "samplingRate": "cr:samplingRate"
+  },
+  "@type": "sc:Dataset",
+  "conformsTo": "http://mlcommons.org/croissant/1.1",
+  "name": "multisite-ppg-submission",
+  "version": "1.0.0",
+  "datePublished": "2026-05-05",
+  "citeAs": "Anonymous authors. Multisite PPG Dataset. Submitted to NeurIPS 2026 Datasets and Benchmarks Track (under double-blind review). https://huggingface.co/datasets/anonymous-ppg-dataset/multisite-ppg-submission",
+  "description": "A multi-site wearable photoplethysmography (PPG) dataset collected from 20 participants. Each participant wore four custom wearable devices (earlobe, finger, wrist, front chest) recording green and infrared PPG, 3-axis accelerometer, and temperature signals during natural daytime activities over multiple days. A Polar H10 chest strap provided reference ECG and heart-rate information. Self-reported activity logs are included as contextual metadata. The dataset contains both raw recordings and pre-windowed segments for benchmarking wearable PPG heart-rate estimation.",
+  "alternateName": [
+    "anonymous-ppg-dataset/multisite-ppg-submission"
+  ],
+  "creator": {
+    "@type": "Organization",
+    "name": "anonymous-ppg-dataset",
+    "url": "https://huggingface.co/anonymous-ppg-dataset"
+  },
+  "keywords": [
+    "photoplethysmography",
+    "PPG",
+    "wearable sensors",
+    "heart rate estimation",
+    "multi-site",
+    "physiological signals",
+    "ECG reference",
+    "accelerometer"
+  ],
+  "url": "https://huggingface.co/datasets/anonymous-ppg-dataset/multisite-ppg-submission",
+  "license": "https://creativecommons.org/licenses/by-nc/4.0/",
+  "distribution": [
+    {
+      "@type": "cr:FileObject",
+      "@id": "repo",
+      "name": "repo",
+      "description": "The Hugging Face dataset repository (main branch).",
+      "contentUrl": "https://huggingface.co/datasets/anonymous-ppg-dataset/multisite-ppg-submission",
+      "encodingFormat": "git+https",
+      "sha256": "main"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "raw-data-files",
+      "name": "raw_data",
+      "description": "Raw multi-site PPG/ECG recordings, organized per subject.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "application/octet-stream",
+      "includes": "raw_data/**/*.npz"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "ppg-windowed-data-files",
+      "name": "ppg_windowed_data",
+      "description": "Pre-windowed PPG segments derived from raw_data via the windowing pipeline.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "application/octet-stream",
+      "includes": "ppg_windowed_data/**/*.npz"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "activity-log-files",
+      "name": "activity_logs",
+      "description": "Per-participant activity logs documenting the protocol/timing of activities during PPG recording sessions.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "text/plain",
+      "includes": "raw_data/**/*activity_log*.txt"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "participants-demographics-csv",
+      "name": "participants_demographics.csv",
+      "description": "Per-participant demographic metadata: participant ID, age, gender, race/ethnicity, and Fitzpatrick skin index.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "contentUrl": "raw_data/participants_demographics.csv",
+      "encodingFormat": "text/csv",
+      "sha256": "8a2162d5063d6884fe70c385b73977dd7efa8d23796c4e6639f9d61975084219"
+    },
+    {
+      "@type": "cr:FileObject",
+      "@id": "repo-parquet-branch",
+      "name": "repo",
+      "description": "The Hugging Face git repository.",
+      "contentUrl": "https://huggingface.co/datasets/anonymous-ppg-dataset/multisite-ppg-submission/tree/refs%2Fconvert%2Fparquet",
+      "encodingFormat": "git+https",
+      "sha256": "https://github.com/mlcommons/croissant/issues/80"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "parquet-files-for-config-default",
+      "containedIn": {
+        "@id": "repo-parquet-branch"
+      },
+      "encodingFormat": "application/x-parquet",
+      "includes": "default/*/*.parquet"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "sample-raw-data-files",
+      "name": "sample_raw_data",
+      "description": "Sample subset of raw_data/ (participants P7 and P8 only) for quick inspection without downloading the full ~18.6 GB dataset. Includes the four wearable PPG sites, both Polar H10 reference signals (ECG + accelerometer), and an activity log per participant. Same schema as raw_data/.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "application/octet-stream",
+      "includes": "sample_data/raw_data/**/*.npz"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "sample-ppg-windowed-data-files",
+      "name": "sample_ppg_windowed_data",
+      "description": "Sample subset of ppg_windowed_data/ (participants P7 and P8 only). Same schema as ppg_windowed_data/.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "application/octet-stream",
+      "includes": "sample_data/ppg_windowed_data/**/*.npz"
+    },
+    {
+      "@type": "cr:FileSet",
+      "@id": "sample-activity-log-files",
+      "name": "sample_activity_logs",
+      "description": "Activity logs accompanying the sample raw recordings.",
+      "containedIn": {
+        "@id": "repo"
+      },
+      "encodingFormat": "text/plain",
+      "includes": "sample_data/raw_data/**/*activity_log*.txt"
+    }
+  ],
+  "recordSet": [
+    {
+      "@type": "cr:RecordSet",
+      "@id": "participants_demographics",
+      "name": "participants_demographics",
+      "description": "One record per participant. Demographic and skin-tone metadata for the 20 participants in the study.",
+      "key": {
+        "@id": "participants_demographics/participant_index"
+      },
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "participants_demographics/participant_index",
+          "name": "participant_index",
+          "description": "Participant identifier (e.g. P1, P2, ..., P20).",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "participants-demographics-csv"
+            },
+            "extract": {
+              "column": "Participant Index"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "participants_demographics/age",
+          "name": "age",
+          "description": "Self-reported age in years at time of data collection.",
+          "dataType": "cr:Int64",
+          "source": {
+            "fileObject": {
+              "@id": "participants-demographics-csv"
+            },
+            "extract": {
+              "column": "Age"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "participants_demographics/gender",
+          "name": "gender",
+          "description": "Self-reported gender.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "participants-demographics-csv"
+            },
+            "extract": {
+              "column": "Gender"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "participants_demographics/race_ethnicity",
+          "name": "race_ethnicity",
+          "description": "Self-reported race/ethnicity.",
+          "dataType": "sc:Text",
+          "source": {
+            "fileObject": {
+              "@id": "participants-demographics-csv"
+            },
+            "extract": {
+              "column": "Race/Ethnicity"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "participants_demographics/fitzpatrick_skin_index",
+          "name": "fitzpatrick_skin_index",
+          "description": "Fitzpatrick skin type (I-VI) on a 1-6 ordinal scale.",
+          "dataType": "cr:Int64",
+          "source": {
+            "fileObject": {
+              "@id": "participants-demographics-csv"
+            },
+            "extract": {
+              "column": "Fitzpatrick Skin Index"
+            }
+          }
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "dataType": "cr:Split",
+      "key": {
+        "@id": "default_splits/split_name"
+      },
+      "@id": "default_splits",
+      "name": "default_splits",
+      "description": "Splits for the default config.",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "default_splits/split_name",
+          "dataType": "sc:Text"
+        }
+      ],
+      "data": [
+        {
+          "default_splits/split_name": "train"
+        }
+      ]
+    },
+    {
+      "@type": "cr:RecordSet",
+      "@id": "default",
+      "description": "anonymous-ppg-dataset/multisite-ppg-submission - 'default' subset",
+      "field": [
+        {
+          "@type": "cr:Field",
+          "@id": "default/split",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "parquet-files-for-config-default"
+            },
+            "extract": {
+              "fileProperty": "fullpath"
+            },
+            "transform": {
+              "regex": "default/(?:partial-)?(train)/.+parquet$"
+            }
+          },
+          "references": {
+            "field": {
+              "@id": "default_splits/split_name"
+            }
+          }
+        },
+        {
+          "@type": "cr:Field",
+          "@id": "default/text",
+          "dataType": "sc:Text",
+          "source": {
+            "fileSet": {
+              "@id": "parquet-files-for-config-default"
+            },
+            "extract": {
+              "column": "text"
+            }
+          }
+        }
+      ]
+    }
+  ],
+  "rai:dataLimitations": "The dataset contains in-the-wild wearable physiological recordings from 20 participants and is intended for research on wearable PPG heart-rate estimation, body-site comparison, wavelength analysis, motion robustness, and multi-site fusion. Its applicability is limited by the number of participants, the participant population, the specific custom wearable form factors, natural but not exhaustive daily activities, timestamp-based rather than hardware-level synchronization, and possible missing data due to Bluetooth packet loss or device removal. P1 and P2 are missing Polar chest-strap accelerometer data, and some participants have limited or empty self-reported activity log files. The dataset is not recommended for clinical diagnosis, treatment decisions, medical claims, participant identification, surveillance, or millisecond-level pulse transit time analysis without additional calibration.",
+  "rai:dataBiases": "The dataset may contain demographic and sampling biases due to the limited participant pool. The participant group includes 19 female participants and 1 male participant, most participants are in the 20-30 age range, and the dataset does not include participants with Fitzpatrick skin type VI. As a result, benchmark results may not generalize equally across gender, age groups, skin tones, health conditions, wearing behaviors, or broader populations. Because PPG signal quality can be affected by skin tone, physiology, motion, and device-skin contact, models trained or evaluated on this dataset should be tested on more diverse populations before deployment.",
+  "rai:personalSensitiveInformation": "The dataset contains human-subject wearable physiological and behavioral data, including photoplethysmography, accelerometer, temperature, ECG-derived heart-rate labels, timestamps, and self-reported activity information. The dataset also includes self-reported demographic metadata (age, gender, race/ethnicity, Fitzpatrick skin index) for each participant. Direct personal identifiers are removed and participant IDs are anonymized, but physiological, behavioral, and demographic data may still be sensitive and could pose privacy or re-identification risks if misused.",
+  "rai:dataUseCases": "Intended use cases include non-commercial research and education on wearable PPG signal processing, heart-rate estimation, robustness evaluation across body locations, comparison of green and infrared PPG, accelerometer-assisted modeling, and multi-site sensor fusion. The dataset is validated in this paper for benchmark heart-rate estimation against ECG-derived reference heart rate under the reported evaluation protocol. It is not validated for clinical diagnosis, disease detection, treatment decisions, identity recognition, blood-pressure estimation, or pulse-transit-time analysis.",
+  "rai:dataSocialImpact": "Potential positive impacts include supporting research toward more robust and unobtrusive wearable physiological sensing in daily life, especially beyond wrist-centric form factors. Potential negative impacts include privacy leakage, attempted participant re-identification, biased model performance for populations or activities underrepresented in the dataset, and misuse for unvalidated clinical/diagnostic claims. Mitigations include anonymization, removal of direct identifiers, documentation of intended and out-of-scope uses, responsible-use restrictions, and release under a non-commercial research license.",
+  "rai:hasSyntheticData": false,
+  "prov:wasDerivedFrom": [],
+  "prov:wasGeneratedBy": [
+    {
+      "@type": "prov:Activity",
+      "prov:type": {
+        "@id": "https://www.wikidata.org/wiki/Q4929239"
+      },
+      "prov:label": "Data Collection",
+      "sc:description": "Data were collected from participants wearing four custom wearable devices at the earlobe, finger, wrist, and front chest during natural daytime activities over multiple days. Each wearable recorded green and infrared reflective PPG, 3-axis accelerometer, and temperature data. A Polar H10 chest strap provided reference ECG and heart-rate information. Participants self-reported activities using a smartphone app. The study was reviewed and approved by an institutional review board, and participants provided informed consent."
+    },
+    {
+      "@type": "prov:Activity",
+      "prov:type": {
+        "@id": "https://www.wikidata.org/wiki/Q4929239"
+      },
+      "prov:label": "Preprocessing and windowing",
+      "sc:description": "The windowed dataset is processed from the raw dataset. Wearable recordings and Polar reference data were aligned using phone-clock timestamps. Continuous segments were converted into 8-second sliding windows with 1-second stride. Windows with missing data, device removal, Bluetooth packet loss, poor ECG quality, implausible heart-rate values, or excessive beat irregularity were excluded in the windowed dataset according to the preprocessing pipeline described in the paper."
+    },
+    {
+      "@type": "prov:Activity",
+      "prov:type": {
+        "@id": "https://www.wikidata.org/wiki/Q4929239"
+      },
+      "prov:label": "Annotation and labels",
+      "sc:description": "Heart-rate labels in the windowed dataset were derived from time-aligned Polar ECG/reference heart-rate information. Self-reported activity labels were entered by participants through the smartphone app and are intended as contextual information rather than expert-verified annotations."
+    }
+  ]
+}