facebookresearch / Imppres
This repository houses the IMPlicature and PRESupposition diagnostic dataset (IMPPRES), consisting of >25k semiautomatically generated sentence pairs illustrating well-studied pragmatic inference types. IMPPRES is an NLI dataset following the format of SNLI (Bowman et al., 2015), MultiNLI (Williams et al., 2018) and XNLI (Conneau et al., 2018), which was created to determine how well trained NLI models do on recognizing several kinds of presuppositions and scalar implicatures.
Summary
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| Main Code: 25,722 LOC (17 files) = JSONL (99%) + PY (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 5 LOC (2); |
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| File Size: 99% long (>1000 LOC), 0% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 67% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 46% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (3 components) | ||
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1 year, 9 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2020-09-04
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