Processed data from AutoTrain data processor ([2023-08-16 08:10 ]

README.md

@@ -0,0 +1,785 @@
+---
+task_categories:
+- token-classification
+
+---
+# AutoTrain Dataset for project: pubmed
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project pubmed.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "tokens": [
+      "Pd",
+      "has",
+      "been",
+      "regarded",
+      "as",
+      "one",
+      "of",
+      "the",
+      "alternatives",
+      "to",
+      "Pt",
+      "as",
+      "a",
+      "promising",
+      "hydrogen",
+      "evolution",
+      "reaction",
+      "(HER)",
+      "catalyst.",
+      "Strategies",
+      "including",
+      "Pd-metal",
+      "alloys",
+      "(Pd-M)",
+      "and",
+      "Pd",
+      "hydrides",
+      "(PdH<sub><i>x</i></sub>)",
+      "have",
+      "been",
+      "proposed",
+      "to",
+      "boost",
+      "HER",
+      "performances.",
+      "However,",
+      "the",
+      "stability",
+      "issues,",
+      "e.g.,",
+      "the",
+      "dissolution",
+      "in",
+      "Pd-M",
+      "and",
+      "the",
+      "hydrogen",
+      "releasing",
+      "in",
+      "PdH<sub><i>x</i></sub>,",
+      "restrict",
+      "the",
+      "industrial",
+      "application",
+      "of",
+      "Pd-based",
+      "HER",
+      "catalysts.",
+      "We",
+      "here",
+      "design",
+      "and",
+      "synthesize",
+      "a",
+      "stable",
+      "Pd-Cu",
+      "hydride",
+      "(",
+      "PdCu<sub>0.2</sub>H<sub>0.43</sub>",
+      ")",
+      "catalyst,",
+      "combining",
+      "the",
+      "advantages",
+      "of",
+      "both",
+      "Pd-M",
+      "and",
+      "PdH<sub><i>x</i></sub>",
+      "structures",
+      "and",
+      "improving",
+      "the",
+      "HER",
+      "durability",
+      "simultaneously.",
+      "The",
+      "hydrogen",
+      "intercalation",
+      "is",
+      "realized",
+      "under",
+      "atmospheric",
+      "pressure",
+      "(1.0",
+      "atm)",
+      "following",
+      "our",
+      "synthetic",
+      "approach",
+      "that",
+      "imparts",
+      "high",
+      "stability",
+      "to",
+      "the",
+      "Pd-Cu",
+      "hydride",
+      "structure.",
+      "The",
+      "obtained",
+      "PdCu<sub>0.2</sub>H<sub>0.43</sub>",
+      "catalyst",
+      "exhibits",
+      "a",
+      "small",
+      "overpotential",
+      "of",
+      "28",
+      "mV",
+      "at",
+      "10",
+      "mA/cm<sup>2</sup>",
+      ",",
+      "a",
+      "low",
+      "Tafel",
+      "slope",
+      "of",
+      "23",
+      "mV/dec",
+      ",",
+      "and",
+      "excellent",
+      "HER",
+      "durability",
+      "due",
+      "to",
+      "its",
+      "appropriate",
+      "hydrogen",
+      "adsorption",
+      "free",
+      "energy",
+      "and",
+      "alleviated",
+      "metal",
+      "dissolution",
+      "rate.",
+      "</p>",
+      "<p>"
+    ],
+    "tags": [
+      2,
+      2,
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+    ]
+  },
+  {
+    "tokens": [
+      "A",
+      "critical",
+      "challenge",
+      "in",
+      "energy",
+      "research",
+      "is",
+      "the",
+      "development",
+      "of",
+      "earth",
+      "abundant",
+      "and",
+      "cost-effective",
+      "materials",
+      "that",
+      "catalyze",
+      "the",
+      "electrochemical",
+      "splitting",
+      "of",
+      "water",
+      "into",
+      "hydrogen",
+      "and",
+      "oxygen",
+      "at",
+      "high",
+      "rates",
+      "and",
+      "low",
+      "overpotentials.",
+      "Key",
+      "to",
+      "addressing",
+      "this",
+      "issue",
+      "lies",
+      "not",
+      "only",
+      "in",
+      "the",
+      "synthesis",
+      "of",
+      "new",
+      "materials,",
+      "but",
+      "also",
+      "in",
+      "the",
+      "elucidation",
+      "of",
+      "their",
+      "active",
+      "sites,",
+      "their",
+      "structure",
+      "under",
+      "operating",
+      "conditions",
+      "and",
+      "ultimately,",
+      "extraction",
+      "of",
+      "the",
+      "structure-function",
+      "relationships",
+      "used",
+      "to",
+      "spearhead",
+      "the",
+      "next",
+      "generation",
+      "of",
+      "catalyst",
+      "development.",
+      "In",
+      "this",
+      "work,",
+      "we",
+      "present",
+      "a",
+      "complete",
+      "cycle",
+      "of",
+      "synthesis,",
+      "operando",
+      "characterization,",
+      "and",
+      "redesign",
+      "of",
+      "an",
+      "amorphous",
+      "cobalt",
+      "phosphide",
+      "(",
+      "CoP",
+      "<sub><i>x</i></sub>",
+      ")",
+      "bifunctional",
+      "catalyst.",
+      "The",
+      "research",
+      "was",
+      "driven",
+      "by",
+      "integrated",
+      "electrochemical",
+      "analysis,",
+      "Raman",
+      "spectroscopy",
+      "and",
+      "gravimetric",
+      "measurements",
+      "utilizing",
+      "a",
+      "novel",
+      "quartz",
+      "crystal",
+      "microbalance",
+      "spectroelectrochemical",
+      "cell",
+      "to",
+      "uncover",
+      "the",
+      "catalytically",
+      "active",
+      "species",
+      "of",
+      "amorphous",
+      "CoP",
+      "<sub><i>x</i></sub>",
+      "and",
+      "subsequently",
+      "modify",
+      "the",
+      "material",
+      "to",
+      "enhance",
+      "the",
+      "activity",
+      "of",
+      "the",
+      "elucidated",
+      "catalytic",
+      "phases.",
+      "Illustrating",
+      "the",
+      "power",
+      "of",
+      "our",
+      "approach,",
+      "the",
+      "second",
+      "generation",
+      "cobalt-iron",
+      "phosphide",
+      "(",
+      "CoFeP<sub>x</sub>",
+      ")",
+      "catalyst,",
+      "developed",
+      "through",
+      "an",
+      "iteration",
+      "of",
+      "the",
+      "operando",
+      "measurement",
+      "directed",
+      "optimization",
+      "cycle,",
+      "is",
+      "superior",
+      "in",
+      "both",
+      "hydrogen",
+      "and",
+      "oxygen",
+      "evolution",
+      "reactivity",
+      "over",
+      "the",
+      "previous",
+      "material",
+      "and",
+      "is",
+      "capable",
+      "of",
+      "overall",
+      "water",
+      "electrolysis",
+      "at",
+      "a",
+      "current",
+      "density",
+      "of",
+      "10",
+      "mA",
+      "cm<sup>-2</sup>",
+      "with",
+      "1.5",
+      "V",
+      "applied",
+      "bias",
+      "in",
+      "1",
+      "M",
+      "KOH",
+      "electrolyte",
+      "solution.",
+      "</p>",
+      "<p>"
+    ],
+    "tags": [
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+    ]
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
+  "tags": "Sequence(feature=ClassLabel(names=['CATALYST', 'CO-CATALYST', 'O', 'Other', 'PROPERTY_NAME', 'PROPERTY_VALUE'], id=None), length=-1, id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 166 |
+| valid        | 44 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

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processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "tokens": {
+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
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+      "_type": "Sequence"
+    },
+    "tags": {
+      "feature": {
+        "names": [
+          "CATALYST",
+          "CO-CATALYST",
+          "O",
+          "Other",
+          "PROPERTY_NAME",
+          "PROPERTY_VALUE"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    }
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+  "homepage": "",
+  "license": "",
+  "splits": {
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+      "num_bytes": 572363,
+      "num_examples": 166,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+  "_fingerprint": "e195d4367f146014",
+  "_format_columns": [
+    "tags",
+    "tokens"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

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processed/valid/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
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+      "feature": {
+        "dtype": "string",
+        "_type": "Value"
+      },
+      "_type": "Sequence"
+    },
+    "tags": {
+      "feature": {
+        "names": [
+          "CATALYST",
+          "CO-CATALYST",
+          "O",
+          "Other",
+          "PROPERTY_NAME",
+          "PROPERTY_VALUE"
+        ],
+        "_type": "ClassLabel"
+      },
+      "_type": "Sequence"
+    }
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+  "homepage": "",
+  "license": "",
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+  }
+}

processed/valid/state.json

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+  "_fingerprint": "0bdc5571f34b924c",
+  "_format_columns": [
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+    "tokens"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}