split files
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- split/0-1.csv +4 -0
- split/0-8.csv +1 -0
- split/1-1.csv +3 -0
- split/1-2.csv +3 -0
- split/1-4.csv +1 -0
- split/1-5.csv +3 -0
- split/1-7.csv +1 -0
- split/1-8.csv +2 -0
- split/1-b.csv +11 -0
- split/1-d.csv +7 -0
- split/1-h.csv +1 -0
- split/1-l.csv +3 -0
- split/1-m.csv +1 -0
- split/1-p.csv +3 -0
- split/1-s.csv +2 -0
- split/1-t.csv +3 -0
- split/1-v.csv +1 -0
- split/1-w.csv +1 -0
- split/10-.csv +4 -0
- split/100.csv +15 -0
- split/101.csv +4 -0
- split/102.csv +1 -0
- split/10k.csv +1 -0
- split/10s.csv +1 -0
- split/11-.csv +4 -0
- split/110.csv +1 -0
- split/111.csv +2 -0
- split/116.csv +2 -0
- split/117.csv +2 -0
- split/11k.csv +1 -0
- split/12-.csv +4 -0
- split/120.csv +8 -0
- split/123.csv +2 -0
- split/13-.csv +1 -0
- split/130.csv +18 -0
- split/131.csv +22 -0
- split/14-.csv +1 -0
- split/140.csv +59 -0
- split/141.csv +14 -0
- split/15-.csv +2 -0
- split/150.csv +5 -0
- split/151.csv +1 -0
- split/155.csv +1 -0
- split/15m.csv +1 -0
- split/160.csv +1 -0
- split/161.csv +4 -0
- split/170.csv +9 -0
- split/171.csv +7 -0
- split/18-.csv +1 -0
- split/180.csv +20 -0
split/0-1.csv
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0-1-data-makes-segment-anything-slim,2312.05284
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0-1-deep-neural-networks-via-block-coordinate,2206.09379
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0-1-laws-for-pattern-occurrences-in,2402.04499
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0-1-phase-transitions-in-sparse-spiked-matrix,1911.05030
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split/0-8.csv
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0-8-nyquist-computational-ghost-imaging-via,2108.07673
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split/1-1.csv
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1-1-2-can-large-language-models-serve-as,2406.14721
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1-1-cma-es-with-margin-for-discrete-and-mixed,2305.00849
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1-1-genetic-programming-with-functionally,2303.07455
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split/1-2.csv
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1-2-1-renaissance-of-single-network-paradigm,2501.05369
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1-2-3-go-policy-synthesis-for-parameterized,2410.18293
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1-23-tb-s-per-wavelength-single-waveguide-on,2010.10348
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split/1-4.csv
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1-4-million-open-source-distilled-reasoning,2503.19633
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split/1-5.csv
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1-5-million-materials-narratives-generated-by,2308.13687
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1-5-pints-technical-report-pretraining-in,2408.03506
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1-58-bit-flux,2412.18653
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split/1-7.csv
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1-71-tb-s-single-channel-and-56-51-tb-s-dwdm,2108.01873
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split/1-8.csv
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1-800-shared-tasks-at-regnlp-lexical,2412.06009
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1-800-shared-tasks-nlu-of-devanagari-script,2411.06850
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split/1-b.csv
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1-bit-adam-communication-efficient-large,2102.02888
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1-bit-ai-infra-part-1-1-fast-and-lossless,2410.16144
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1-bit-compressive-sensing-for-efficient,2103.16055
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1-bit-fqt-pushing-the-limit-of-fully,2408.14267
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1-bit-lamb-communication-efficient-large,2104.06069
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1-bit-localization-scheme-for-radar-using,1806.05408
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1-bit-massive-mimo-downlink-based-on,1810.12039
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1-bit-matrix-completion-pac-bayesian-analysis,1604.04191
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1-bit-matrix-completion-under-exact-low-rank,1502.06689
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1-bit-quantized-on-chip-hybrid-diffraction,2404.07443
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1-bit-subthz-ris-with-planar-tightly-coupled,2402.08445
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split/1-d.csv
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1-d-cnn-based-acoustic-scene-classification,2204.00555
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1-d-cnn-based-online-signature-verification,2406.06597
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1-d-convolutional-graph-convolutional,2211.02930
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1-d-residual-convolutional-neural-network,2304.07305
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1-diffractor-efficient-and-utility-preserving,2405.01678
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1-dimensional-normal-competitive-market,2505.08425
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1-dimensional-polynomial-neural-networks-for,2009.04077
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split/1-h.csv
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1-hkust-object-detection-in-ilsvrc-2014,1409.6155
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split/1-l.csv
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1-lipschitz-layers-compared-memory-speed-and,2311.16833
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1-lipschitz-neural-distance-fields,2407.09505
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1-lipschitz-neural-networks-are-more,2311.06103
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split/1-m.csv
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1-modular-parallel-manipulator-for-long-term,2409.03614
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split/1-p.csv
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1-pager-one-pass-answer-generation-and,2310.16568
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1-point-ransac-based-method-for-ground-object,2008.03718
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1-point-ransac-for-circular-motion-estimation,1910.01681
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split/1-s.csv
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1-st-place-solution-of-www-2025-erel-mir,2505.03543
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1-step-speech-processing-and-understanding,2311.04753
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split/1-t.csv
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1-times-n-block-pattern-for-network-sparsity,2105.14713
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1-today-or-2-tomorrow-the-answer-is-in-your,1703.07726
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1-trillion-token-1tt-platform-a-novel,2409.20149
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split/1-v.csv
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1-varepsilon-class-classification-an-anomaly,1906.06096
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split/1-w.csv
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1-wl-expressiveness-is-almost-all-you-need,2202.10156
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split/10-.csv
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10-mega-pixel-snapshot-compressive-imaging,2106.15765
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10-security-and-privacy-problems-in-self,2110.15444
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10-years-of-fair-representations-challenges,2407.03834
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10-years-of-the-pcg-workshop-past-and-future,2104.11037
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split/100.csv
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100-day-analysis-of-usd-idr-exchange-rate,2506.18738
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100-days-after-deepseek-r1-a-survey-on,2505.00551
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100-gbps-indoor-access-and-4-8-gbps-outdoor,2402.16144
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100-hallucination-elimination-using-acurai,2412.05223
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100-instances-is-all-you-need-predicting-the,2409.03563
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100-longbench-are-de-facto-long-context,2505.19293
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1000-african-voices-advancing-inclusive-multi,2406.11727
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1000-fps-4d-gaussian-splatting-for-dynamic,2503.16422
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1000-layer-networks-for-self-supervised-rl,2503.14858
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1000-pupil-segmentations-in-a-second-using,2102.01921
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10000-km-straight-line-transmission-using-a,2104.06311
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10000-times-accelerated-robust-subset,1409.3660
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1000x-faster-camera-and-machine-vision-with,2201.09302
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10053014,1005.3014
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100k-or-100-days-trade-offs-when-pre-training,2410.23261
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split/101.csv
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101-billion-arabic-words-dataset,2405.01590
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101-formulaic-alphas,1601.00991
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10100605,1010.0605
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10112512,1011.2512
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split/102.csv
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1024m-at-smm4h-2024-tasks-3-5-6-ensembles-of,2410.15998
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split/10k.csv
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10k-is-enough-an-ultra-lightweight-binarized,2503.02662
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split/10s.csv
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10sent-a-stable-sentiment-analysis-method,1711.07915
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split/11-.csv
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11-cluster-editing-is-polynomial-time,2210.07722
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11-diphenyl-2-picrylhydrazyl-and-superoxide,2310.10063
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11-teraflops-per-second-photonic,2011.07393
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11-x-11-domineering-is-solved-the-first,1602.05404
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split/110.csv
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1102-132,1102.132
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split/111.csv
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1111-11111,1111.11111
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11125745,1112.5745
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split/116.csv
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11609-07197,11609.07197
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1162-33455,1162.33455
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split/117.csv
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11700-km-transmission-at-4-8-bit-4d-sym-via,1904.12561
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1173-2020,1173.2020
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split/11k.csv
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11k-hands-gender-recognition-and-biometric,1711.04322
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split/12-.csv
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12-bit-delta-sigma-adc-operating-at-a,2501.00482
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12-in-1-multi-task-vision-and-language,1912.02315
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12-labours-tools-for-developing-functional,2406.10301
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12-mj-per-class-on-device-online-few-shot,2403.07851
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split/120.csv
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12024184,1202.4184
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12033097,1203.3097
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12033461,1203.3461
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120402358,1204.02358
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12043968,1204.3968
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12066449,1206.6449
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120703538,1207.03538
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12071230,1207.1230
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split/123.csv
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1234-56789,1234.56789
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12345,123.45
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split/13-.csv
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13-16-tbit-s-free-space-optical-transmission,2006.05349
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split/130.csv
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130106847,1301.06847
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13012266,1301.2266
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13013666,1301.3666
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130306021,1303.06021
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130306361,1303.06361
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130400869,1304.00869
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130602599,1306.02599
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13062597,1306.2597
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1307574,1307.574
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130800271,1308.00271
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130800275,1308.00275
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130800890,1308.00890
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130806687,1308.06687
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130903418,1309.03418
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130904573,1309.04573
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130904577,1309.04577
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130905594,1309.05594
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130907434,1309.07434
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split/131.csv
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131000317,1310.00317
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131004822,1310.04822
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131006066,1310.06066
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131101279,1311.01279
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131104082,1311.04082
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131106007,1311.06007
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131201462,1312.01462
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131201512,1312.01512
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131201520,1312.01520
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131201681,1312.01681
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131201685,1312.01685
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131203787,1312.03787
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131204190,1312.04190
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131206834,1312.06834
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131207446,1312.07446
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131207469,1312.07469
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131207511,1312.07511
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131256021,1312.56021
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split/14-.csv
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14-examples-of-how-llms-can-transform,2306.06283
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split/140.csv
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| 1 |
+
140-gbaud-on-off-keying-links-in-c-band-for,1811.04610
|
| 2 |
+
140100092,1401.00092
|
| 3 |
+
140100395,1401.00395
|
| 4 |
+
140102058,1401.02058
|
| 5 |
+
140105311,1401.05311
|
| 6 |
+
140105632,1401.05632
|
| 7 |
+
140106108,1401.06108
|
| 8 |
+
140106112,1401.06112
|
| 9 |
+
140106130,1401.06130
|
| 10 |
+
140201331,1402.01331
|
| 11 |
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140201879,1402.01879
|
| 12 |
+
140204888,1402.04888
|
| 13 |
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140205047,1402.05047
|
| 14 |
+
140205859,1402.05859
|
| 15 |
+
140240492,1402.40492
|
| 16 |
+
140300485,1403.00485
|
| 17 |
+
140301327,1403.01327
|
| 18 |
+
140301362,1403.01362
|
| 19 |
+
140302802,1403.02802
|
| 20 |
+
140305475,1403.05475
|
| 21 |
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140400736,1404.00736
|
| 22 |
+
140401292,1404.01292
|
| 23 |
+
140403543,1404.03543
|
| 24 |
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140403596,1404.03596
|
| 25 |
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140403840,1404.03840
|
| 26 |
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140404780,1404.04780
|
| 27 |
+
140407594,1404.07594
|
| 28 |
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140501207,1405.01207
|
| 29 |
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140502227,1405.02227
|
| 30 |
+
140502641,1405.02641
|
| 31 |
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140506168,1405.06168
|
| 32 |
+
140507032,1405.07032
|
| 33 |
+
140601247,1406.01247
|
| 34 |
+
140602661,1406.02661
|
| 35 |
+
140604773,1406.04773
|
| 36 |
+
140605266,1406.05266
|
| 37 |
+
140606811,1406.06811
|
| 38 |
+
140606818,1406.06818
|
| 39 |
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140606947,1406.06947
|
| 40 |
+
1406107,1406.107
|
| 41 |
+
140701490,1407.01490
|
| 42 |
+
140702987,1407.02987
|
| 43 |
+
140704023,1407.04023
|
| 44 |
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140706318,1407.06318
|
| 45 |
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140707317,1407.07317
|
| 46 |
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140801549,1408.01549
|
| 47 |
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140801656,1408.01656
|
| 48 |
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140801759,1408.01759
|
| 49 |
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140803709,1408.03709
|
| 50 |
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140803944,1408.03944
|
| 51 |
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140803967,1408.03967
|
| 52 |
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140805601,1408.05601
|
| 53 |
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140900602,1409.00602
|
| 54 |
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140905114,1409.05114
|
| 55 |
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140905230,1409.05230
|
| 56 |
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140906448,1409.06448
|
| 57 |
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140907313,1409.07313
|
| 58 |
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140912595,1409.12595
|
| 59 |
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1409484,1409.484
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split/141.csv
ADDED
|
@@ -0,0 +1,14 @@
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| 1 |
+
141001980,1410.01980
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141002173,1410.02173
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141004485,1410.04485
|
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141005058,1410.05058
|
| 5 |
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141100442,1411.00442
|
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141101784,1411.01784
|
| 7 |
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141104229,1411.04229
|
| 8 |
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141107766,1411.07766
|
| 9 |
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141107923,1411.07923
|
| 10 |
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141107964,1411.07964
|
| 11 |
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141201265,1412.01265
|
| 12 |
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141206115,1412.06115
|
| 13 |
+
141206550,1412.06550
|
| 14 |
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1412657,1412.657
|
split/15-.csv
ADDED
|
@@ -0,0 +1,2 @@
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|
| 1 |
+
15-billion-words-arabic-corpus,1611.04033
|
| 2 |
+
15-keypoints-is-all-you-need,1912.02323
|
split/150.csv
ADDED
|
@@ -0,0 +1,5 @@
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| 1 |
+
150-years-of-return-predictability-around-the,2209.00121
|
| 2 |
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1502-0547711,1502.0547711
|
| 3 |
+
150501303,1505.01303
|
| 4 |
+
1507-06,1507.06
|
| 5 |
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15080657,1508.0657
|
split/151.csv
ADDED
|
@@ -0,0 +1 @@
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|
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|
|
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|
| 1 |
+
151-estrategias-de-trading-151-trading,1912.04492
|
split/155.csv
ADDED
|
@@ -0,0 +1 @@
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|
|
|
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|
| 1 |
+
15500-seconds-lean-uav-classification,2506.11049
|
split/15m.csv
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
15m-multimodal-facial-image-text-dataset,2407.08515
|
split/160.csv
ADDED
|
@@ -0,0 +1 @@
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|
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|
| 1 |
+
1602-0269,1602.0269
|
split/161.csv
ADDED
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| 1 |
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1610054920,1610.054920
|
| 2 |
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16100667,161.00667
|
| 3 |
+
1611-0150,1611.0150
|
| 4 |
+
1612-007967,1612.007967
|
split/170.csv
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
+
170-260-ghz-sub-thz-optical-heterodyne-analog,2309.16696
|
| 2 |
+
1702-079830,1702.079830
|
| 3 |
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170300368,1703.00368
|
| 4 |
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170404576,1704.04576
|
| 5 |
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1705-0231,1705.0231
|
| 6 |
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1705-0430,1705.0430
|
| 7 |
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1707-064,1707.064
|
| 8 |
+
170705713,1707.05713
|
| 9 |
+
170808944,1708.08944
|
split/171.csv
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
+
1711-079719,1711.079719
|
| 2 |
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171100741,1711.00741
|
| 3 |
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171104305,1711.04305
|
| 4 |
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171105447,1711.05447
|
| 5 |
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17110867,1711.0867
|
| 6 |
+
171108970,1711.08970
|
| 7 |
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1712057907,1712.057907
|
split/18-.csv
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
+
18-f-fdg-brain-pet-hypometabolism-in-post,2502.09077
|
split/180.csv
ADDED
|
@@ -0,0 +1,20 @@
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| 1 |
+
180-degree-outpainting-from-a-single-image,2001.04568
|
| 2 |
+
1800808966,18008.08966
|
| 3 |
+
1802-0947,1802.0947
|
| 4 |
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1802026640,1802.026640
|
| 5 |
+
180302972,1803.02972
|
| 6 |
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1804-0962,1804.0962
|
| 7 |
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1804044838,1804.044838
|
| 8 |
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180405938,1804.05938
|
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180410877,1804.10877
|
| 10 |
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1805-0055,1805.0055
|
| 11 |
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180503352,1805.03352
|
| 12 |
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180506137,1805.06137
|
| 13 |
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180508550,1805.08550
|
| 14 |
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180606773,1806.06773
|
| 15 |
+
180711359,1807.11359
|
| 16 |
+
1808-0671,1808.0671
|
| 17 |
+
180801949,1808.01949
|
| 18 |
+
180809781,1808.09781
|
| 19 |
+
180902772,1809.02772
|
| 20 |
+
180908504,1809.08504
|