60k: France Base.txt
Macro for drawing LED sign.
The latest version:
7.1.4
60k: France Base.txt
The "60k france base.txt" refers to a foundational 60,000-example dataset for training Natural Language Processing (NLP) models in French, particularly for Abstract Meaning Representation (AMR). This dataset enables semantic parsing, mapping French text to machine-readable logical forms to improve information extraction and cross-lingual understanding. For more details, visit HAL Science . ding-01:ARG0: An AMR Corpus for Spontaneous French Dialogue
The "60k france base.txt" refers to a foundational 60,000-example dataset for training Natural Language Processing (NLP) models in French, particularly for Abstract Meaning Representation (AMR). This dataset enables semantic parsing, mapping French text to machine-readable logical forms to improve information extraction and cross-lingual understanding. For more details, visit HAL Science . ding-01:ARG0: An AMR Corpus for Spontaneous French Dialogue
User interface: English, Russian, Turkish, Spanish, Chinese.
You can translate this macro into other languages ( email me, if you can translate ).
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"Grid" with a fixed step |
LEDs
'User' shape |
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Centerline |
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"Blend" fill (closed/unclosed curve) |
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"Arcs" fill (closed curve) |
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'Spiral' fill (closed curve) |
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Select (and paint) under the shape |
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Select (and paint) under the outline |
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Equal spacing along the path |
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Equal spacing along a single segment |
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Equal spacing along each segments |
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Make horizontal/vertical spacing equal |
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Find LEDs/'user' shapes by color/size/name |
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Count of LEDs: total LEDs |
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Count of LEDs: LEDs in signs |
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