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Processed data from AutoTrain data processor ([2023-08-14 08:19 ]

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README.md ADDED
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1
+ ---
2
+ language:
3
+ - en
4
+ task_categories:
5
+ - token-classification
6
+
7
+ ---
8
+ # AutoTrain Dataset for project: automatic
9
+
10
+ ## Dataset Description
11
+
12
+ This dataset has been automatically processed by AutoTrain for project automatic.
13
+
14
+ ### Languages
15
+
16
+ The BCP-47 code for the dataset's language is en.
17
+
18
+ ## Dataset Structure
19
+
20
+ ### Data Instances
21
+
22
+ A sample from this dataset looks as follows:
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+
24
+ ```json
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+ [
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+ {
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+ "tokens": [
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+ "Pd",
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+ "has",
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+ "been",
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+ "regarded",
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+ "as",
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+ "one",
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+ "of",
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+ "the",
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+ "alternatives",
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+ "to",
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+ "Pt",
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+ "as",
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+ "a",
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+ "promising",
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+ "hydrogen",
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+ "evolution",
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+ "reaction",
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+ "(HER)",
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+ "catalyst.",
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+ "Strategies",
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+ "including",
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+ "Pd-metal",
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+ "alloys",
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+ "(Pd-M)",
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+ "and",
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+ "Pd",
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+ "hydrides",
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+ "(PdH<sub><i>x</i></sub>)",
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+ "have",
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+ "been",
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+ "proposed",
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+ "to",
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+ "boost",
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+ "HER",
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+ "performances.",
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+ "However,",
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+ "the",
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+ "stability",
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+ "issues,",
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+ "e.g.,",
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+ "the",
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+ "dissolution",
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+ "in",
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+ "Pd-M",
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+ "and",
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+ "the",
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+ "hydrogen",
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+ "releasing",
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+ "in",
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+ "PdH<sub><i>x</i></sub>,",
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+ "restrict",
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+ "the",
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+ "industrial",
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+ "application",
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+ "of",
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+ "Pd-based",
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+ "HER",
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+ "catalysts.",
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+ "We",
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+ "here",
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+ "design",
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+ "and",
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+ "synthesize",
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+ "a",
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+ "stable",
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+ "Pd-Cu",
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+ "hydride",
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+ "(",
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+ "PdCu<sub>0.2</sub>H<sub>0.43</sub>",
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+ ")",
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+ "catalyst,",
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+ "combining",
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+ "the",
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+ "advantages",
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+ "of",
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+ "both",
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+ "Pd-M",
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+ "and",
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+ "PdH<sub><i>x</i></sub>",
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+ "structures",
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+ "and",
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+ "improving",
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+ "the",
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+ "HER",
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+ "durability",
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+ "simultaneously.",
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+ "The",
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+ "hydrogen",
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+ "intercalation",
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+ "is",
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+ "realized",
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+ "under",
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+ "atmospheric",
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+ "pressure",
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+ "(1.0",
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+ "atm)",
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+ "following",
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+ "our",
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+ "synthetic",
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+ "approach",
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+ "that",
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+ "imparts",
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+ "stability",
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+ "to",
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+ "the",
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+ "Pd-Cu",
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+ "hydride",
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+ "structure.",
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+ "The",
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+ "obtained",
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+ "PdCu<sub>0.2</sub>H<sub>0.43</sub>",
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+ "catalyst",
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+ "exhibits",
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+ "a",
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+ "small",
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+ "overpotential",
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+ "of",
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+ "28",
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+ "mV",
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+ "at",
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+ "10",
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+ "mA/cm<sup>2</sup>",
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+ ",",
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+ "a",
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+ "low",
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+ "slope",
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+ "of",
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+ "mV/dec",
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+ ",",
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+ "and",
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+ "excellent",
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+ "HER",
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+ "durability",
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+ "due",
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+ "to",
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+ "its",
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+ "appropriate",
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+ "hydrogen",
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+ "adsorption",
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+ "free",
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+ "energy",
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+ "and",
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+ "alleviated",
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+ "metal",
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+ "dissolution",
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+ "rate.",
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+ "</p>",
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+ "<p>"
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+ ],
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+ "tags": [
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+ "the",
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+ "electrochemical",
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+ "splitting",
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+ "of",
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+ "water",
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+ "into",
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+ "hydrogen",
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+ "and",
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+ "oxygen",
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+ "at",
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+ "high",
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+ "rates",
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+ "and",
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+ "low",
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+ "overpotentials.",
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+ "Key",
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+ "to",
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+ "addressing",
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+ "this",
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+ "issue",
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+ "lies",
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+ "not",
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+ "only",
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+ "in",
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+ "the",
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+ "of",
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+ "new",
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+ "materials,",
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+ "but",
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+ "also",
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+ "in",
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+ "the",
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+ "elucidation",
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+ "of",
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+ "their",
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+ "active",
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+ "sites,",
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+ "their",
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+ "structure",
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+ "under",
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+ "operating",
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+ "conditions",
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+ "and",
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+ "ultimately,",
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+ "extraction",
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+ "of",
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+ "the",
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+ "structure-function",
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+ "used",
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+ "the",
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+ "generation",
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+ "of",
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+ "development.",
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+ "we",
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+ "present",
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+ "a",
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+ "complete",
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+ "characterization,",
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+ "(",
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+ "<sub><i>x</i></sub>",
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+ ")",
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+ "bifunctional",
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+ "catalyst.",
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+ "The",
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+ "research",
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+ "was",
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+ "driven",
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+ "by",
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+ "integrated",
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+ "measurements",
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+ "utilizing",
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+ "a",
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+ "novel",
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+ "quartz",
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+ "crystal",
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+ "microbalance",
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+ "spectroelectrochemical",
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+ "cell",
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+ "to",
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+ "uncover",
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+ "the",
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+ "catalytically",
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+ "species",
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+ "to",
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+ "activity",
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+ "of",
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+ "phases.",
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+ "power",
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+ ```
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+
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+ ### Dataset Fields
770
+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
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+ "tags": "Sequence(feature=ClassLabel(names=['CATALYST', 'CO-CATALYST', 'O', 'Other', 'PROPERTY_NAME', 'PROPERTY_VALUE'], id=None), length=-1, id=None)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
785
+ | ------------ | ------------------- |
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+ | train | 168 |
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+ | valid | 42 |
processed/dataset_dict.json ADDED
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+ {"splits": ["train", "valid"]}
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