Upload project(s) *-en with Annif
Browse files- gnd-all-bm-ensemble-en.cfg +7 -0
- gnd-all-bmx-ensemble-en.cfg +7 -0
- gnd-all-bonsai-en.cfg +12 -0
- gnd-all-mllm-en.cfg +7 -0
- gnd-all-nn_ensemble-en.cfg +10 -0
- gnd-all-xtransformer-en.cfg +28 -0
- gnd-tib-core-bm-ensemble-en.cfg +7 -0
- gnd-tib-core-bmx-ensemble-en.cfg +7 -0
- gnd-tib-core-bonsai-en.cfg +12 -0
- gnd-tib-core-mllm-en.cfg +7 -0
- gnd-tib-core-nn_ensemble-en.cfg +10 -0
- gnd-tib-core-xtransformer-en.cfg +28 -0
- projects/gnd-all-bm-ensemble-en.zip +3 -0
- projects/gnd-all-bmx-ensemble-en.zip +3 -0
- projects/gnd-all-bonsai-en.zip +3 -0
- projects/gnd-all-mllm-en.zip +3 -0
- projects/gnd-all-nn_ensemble-en.zip +3 -0
- projects/gnd-all-xtransformer-en.zip +3 -0
- projects/gnd-tib-core-bm-ensemble-en.zip +3 -0
- projects/gnd-tib-core-bmx-ensemble-en.zip +3 -0
- projects/gnd-tib-core-bonsai-en.zip +3 -0
- projects/gnd-tib-core-mllm-en.zip +3 -0
- projects/gnd-tib-core-nn_ensemble-en.zip +3 -0
- projects/gnd-tib-core-xtransformer-en.zip +3 -0
- vocabs/gnd-all.zip +3 -0
- vocabs/gnd-tib-core.zip +3 -0
gnd-all-bm-ensemble-en.cfg
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[gnd-all-bm-ensemble-en]
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name = GND-all BM ensemble English
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language = en
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backend = ensemble
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sources = gnd-all-mllm-en:0.1623,gnd-all-bonsai-en:0.8377
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vocab = gnd-all
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gnd-all-bmx-ensemble-en.cfg
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[gnd-all-bmx-ensemble-en]
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name = GND-all BMX ensemble English
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language = en
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backend = ensemble
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sources = gnd-all-mllm-en:0.1417,gnd-all-bonsai-en:0.5387,gnd-all-xtransformer-en:0.3196
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vocab = gnd-all
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gnd-all-bonsai-en.cfg
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[gnd-all-bonsai-en]
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name = GND-all Omikuji Bonsai English
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language = en
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backend = omikuji
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analyzer = snowball(english)
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vocab = gnd-all
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cluster_balanced = False
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cluster_k = 100
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max_depth = 3
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min_df = 5
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ngram = 2
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gnd-all-mllm-en.cfg
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[gnd-all-mllm-en]
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name = GND-all MLLM English
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language = en
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backend = mllm
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analyzer = simplemma(en)
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vocab = gnd-all
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gnd-all-nn_ensemble-en.cfg
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[gnd-all-nn_ensemble-en]
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name = GND-all NN ensemble English
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language = en
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backend = nn_ensemble
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sources = gnd-all-mllm-en:0.1623,gnd-all-bonsai-en:0.8377
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vocab = gnd-all
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nodes = 100
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dropout_rate = 0.2
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epochs = 10
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gnd-all-xtransformer-en.cfg
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[gnd-all-xtransformer-en]
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name = GND-all XTransformer English
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language = en
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backend = xtransformer
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analyzer = snowball(english)
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vocab = gnd-all
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batch_size = 16
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truncate_length = 256
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learning_rate = 0.0001
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num_train_epochs = 3
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max_leaf_size = 1600
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nr_splits = 256
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threshold = 0.015
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cn = 0.52
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cp = 5.33
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bootstrap_model = weighted-linear
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loss_function = weighted-squared-hinge
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max_active_matching_labels = 500
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negative_sampling = tfn+man
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warmup_steps = 200
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ensemble_method = concat-only
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post_processor = l3-hinge
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cost_sensitive_ranker = True
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rel_mode = induce
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rel_norm = l1
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neg_mining_chain = tfn
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model_shortcut = FacebookAI/xlm-roberta-base
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gnd-tib-core-bm-ensemble-en.cfg
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[gnd-tib-core-bm-ensemble-en]
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name = GND-tib-core BM ensemble English
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language = en
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backend = ensemble
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sources = gnd-tib-core-mllm-en:0.1271,gnd-tib-core-bonsai-en:0.8729
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vocab = gnd-tib-core
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gnd-tib-core-bmx-ensemble-en.cfg
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[gnd-tib-core-bmx-ensemble-en]
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name = GND-tib-core BMX ensemble English
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language = en
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backend = ensemble
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sources = gnd-tib-core-mllm-en:0.1671,gnd-tib-core-bonsai-en:0.6197,gnd-tib-core-xtransformer-en:0.2132
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vocab = gnd-tib-core
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gnd-tib-core-bonsai-en.cfg
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[gnd-tib-core-bonsai-en]
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name = GND-tib-core Omikuji Bonsai English
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language = en
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backend = omikuji
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analyzer = snowball(english)
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vocab = gnd-tib-core
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cluster_balanced = False
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cluster_k = 100
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max_depth = 3
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min_df = 2
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ngram = 2
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gnd-tib-core-mllm-en.cfg
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[gnd-tib-core-mllm-en]
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name = GND-tib-core MLLM English
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language = en
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backend = mllm
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analyzer = snowball(english)
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vocab = gnd-tib-core
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gnd-tib-core-nn_ensemble-en.cfg
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[gnd-tib-core-nn_ensemble-en]
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name = GND-tib-core NN ensemble English
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language = en
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backend = nn_ensemble
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sources = gnd-tib-core-mllm-en:0.1271,gnd-tib-core-bonsai-en:0.8729
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vocab = gnd-tib-core
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nodes = 100
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dropout_rate = 0.2
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epochs = 10
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gnd-tib-core-xtransformer-en.cfg
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[gnd-tib-core-xtransformer-en]
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name = GND-tib-core XTransformer English
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language = en
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backend = xtransformer
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analyzer = snowball(english)
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vocab = gnd-tib-core
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batch_size = 16
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truncate_length = 256
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learning_rate = 0.0001
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num_train_epochs = 3
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max_leaf_size = 1600
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nr_splits = 256
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threshold = 0.015
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cn = 0.52
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cp = 5.33
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bootstrap_model = weighted-linear
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loss_function = weighted-squared-hinge
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max_active_matching_labels = 500
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negative_sampling = tfn+man
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warmup_steps = 200
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ensemble_method = concat-only
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post_processor = l3-hinge
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cost_sensitive_ranker = True
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rel_mode = induce
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rel_norm = l1
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neg_mining_chain = tfn
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model_shortcut = FacebookAI/xlm-roberta-base
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projects/gnd-all-bm-ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:c61ac2fb5cfe7734eb870df404c766d7a3d955bc0ab9a08f0d40219460e37ebc
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size 237
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projects/gnd-all-bmx-ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:126e0b1b5f87aa913385d5227cc5f36f6a1e9afb4cb856adea833622c0cacc6c
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size 239
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projects/gnd-all-bonsai-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdcb5ff01d43cc626239aef70bcdc17964578a4cdefb9c0ba451605e1861da1c
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size 1578342444
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projects/gnd-all-mllm-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:9308dc2843ea08acdf69968760a18c85d405bebc0b2b93c77f6fcd44a92492be
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size 6684760
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projects/gnd-all-nn_ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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size 1796313401
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projects/gnd-all-xtransformer-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2a56c690349ca72e1974d7abf0a57cd6057c9040371575baf5e2186c23ddccf
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size 1505412025
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projects/gnd-tib-core-bm-ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:0854ab490e9401b1a7c096d3696a8c324f82a430176fa081eca1e61334ff1ab2
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size 247
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projects/gnd-tib-core-bmx-ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4e6f485536147982d7114893f720fdc228f478fe575135dc3f21b26041a02ba
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size 249
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projects/gnd-tib-core-bonsai-en.zip
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version https://git-lfs.github.com/spec/v1
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size 693936044
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projects/gnd-tib-core-mllm-en.zip
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version https://git-lfs.github.com/spec/v1
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size 2872181
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projects/gnd-tib-core-nn_ensemble-en.zip
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version https://git-lfs.github.com/spec/v1
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projects/gnd-tib-core-xtransformer-en.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:434d483fea3f983d470cc25496d76a0a6614a038104d30351db62ea4fdd2927e
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size 1305609399
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vocabs/gnd-all.zip
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version https://git-lfs.github.com/spec/v1
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size 85564559
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vocabs/gnd-tib-core.zip
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version https://git-lfs.github.com/spec/v1
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size 31870957
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