Datasets of different textual objects
AI & ML interests
We try to teach computers how to design materials that work in the real world
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Registry of eval-cards from different benchmark
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jablonkagroup/phone-numbers
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jablonkagroup/chempile-llama-education_paper_lift_reasoning-100m-checkpoint-300
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jablonkagroup/chempile-llama-education_paper_lift_reasoning-100m-checkpoint-200
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jablonkagroup/chempile-llama-education_paper_lift_reasoning-100m-checkpoint-100
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jablonkagroup/chempile-llama-lift-100m-checkpoint-450
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jablonkagroup/chempile-llama-lift-100m-checkpoint-400
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jablonkagroup/chempile-llama-lift-100m-checkpoint-300
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jablonkagroup/chempile-llama-lift-100m-checkpoint-200
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jablonkagroup/chempile-llama-lift-100m-checkpoint-100
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jablonkagroup/chempile-llama-education-100m-checkpoint-450
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datasets
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jablonkagroup/ChemBench-Results
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219
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jablonkagroup/ChemBench
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2.28k
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jablonkagroup/corral_markers_randomsplit_v1
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6.14k
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jablonkagroup/MaCBench-Results
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jablonkagroup/ChemBench-Results-dev
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jablonkagroup/spectral-dataset
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jablonkagroup/chemotion-experimental-1H_NMR
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1.5k
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jablonkagroup/lamalab-shoutouts-table
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jablonkagroup/kinetic-experiments
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jablonkagroup/secs-in-house-dataset
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