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README.md
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@@ -28,6 +28,68 @@ The dataset is randomly divided into train (92.8%), validation (3.6%) and test (
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## Dataset Structure
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### Data Fields
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## Dataset Structure
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## Dataset Statistics
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Table 1: Statistics on the length of the abstractive keyphrases for Train, Test, and Validation splits of Inspec dataset.
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| | Train | Test | Validation |
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|:------------------: |:-------: |:-------: |:----------: |
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| Single word | 15.6% | 29.59% | 15.52% |
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| Two words | 36.7% | 36.88% | 12.38% |
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| Three words | 29.5% | 20.86% | 29.29% |
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| Four words | 12.5% | 8.88% | 0% |
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| Five words | 3.4% | 2.33% | 3.50% |
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| Six words | 1.4% | 0.93% | 1.38% |
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| Seven words | 0.4% | 0.27% | 0.37% |
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| Eight words | 0.24% | 0.13% | 0.21% |
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| Nine words | 0.14% | 0.013% | 0.10% |
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| Ten words | 0.02% | 0.0007% | 0.03% |
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| Eleven words | 0.01% | 0.01% | 0.003% |
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| Twelve words | 0.008% | 0.011% | 0.007% |
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| Thirteen words | 0.01% | 0.02% | 0.02% |
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| Fourteen words | 0.001% | 0% | 0% |
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| Fifteen words | 0.001% | 0.004% | 0.003% |
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| Sixteen words | 0.0004% | 0% | 0% |
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| Seventeen words | 0.0005% | 0% | 0% |
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| Eighteen words | 0.0004% | 0% | 0% |
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| Nineteen words | 0.0001% | 0% | 0% |
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| Twenty words | 0.0001% | 0% | 0% |
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| Twenty-three words | 0.0001% | 0% | 0% |
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Table 2: Statistics on the length of the extractive keyphrases for Train, Test, and Validation splits of Inspec dataset.
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| | Train | Test | Validation |
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|:--------------: |:-------: |:------: |:----------: |
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| Single word | 54.2% | 60.0% | 54.38% |
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| Two words | 33.9% | 32.4% | 33.73% |
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| Three words | 8.8% | 5.5% | 8.70% |
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| Four words | 1.9% | 1.04% | 1.97% |
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| Five words | 0.5% | 0.25% | 0.53% |
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| Six words | 0.4% | 0.16% | 0.44% |
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| Seven words | 0.12% | 0.06% | 0.15% |
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| Eight words | 0.05% | 0.03% | 0.08% |
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| Nine words | 0.009% | 0% | 0% |
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| Ten words | 0.0007% | 0.001% | 0% |
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| Eleven words | 0.0002% | 0% | 0% |
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| Twelve words | 0.0002% | 0% | 0% |
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| Thirteen words | 0.0002% | 0% | 0% ||
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Table 3: General statistics of the Inspec dataset.
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| Type of Analysis | Train | Test | Validation |
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|:------------------------------------------------: |:---------------------: |:---------------------: |:---------------------: |
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| Annotator Type | Professional Indexers | Professional Indexers | Professional Indexers |
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| Document Type | News Articles | News Articles | News articles |
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| No. of Documents | 259,923 | 20,000 | 10,000 |
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| Avg. Document length (words) | 783.32 | 643.2 | 784.65 |
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| Max Document length (words) | 7278 | 5503 | 5627 |
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| Max no. of abstractive keyphrases in a document | 10 | 10 | 10 |
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| Min no. of abstractive keyphrases in a document | 0 | 0 | 0 |
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| Avg. no. of abstractive keyphrases per document | 2.87 | 2.30 | 2.89 |
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| Max no. of extractive keyphrases in a document | 10 | 10 | 9 |
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| Min no. of extractive keyphrases in a document | 0 | 0 | 0 |
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| Avg. no. of extractive keyphrases per document | 2.15 | 2.72 | 2.13 |
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### Data Fields
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