id stringlengths 5 123 | downloads int64 0 1.94M | downloadsAllTime int64 0 143M | likes int64 0 9.82k | tags listlengths 1 7.92k | organization stringlengths 2 42 | has_audio bool 2
classes | has_speech bool 2
classes | has_music bool 2
classes | has_robot bool 2
classes | has_bio bool 2
classes | has_med bool 2
classes | has_series bool 2
classes | has_video bool 2
classes | has_image bool 2
classes | has_text bool 2
classes | has_science bool 2
classes | is_biomed bool 2
classes | data_download_timestamp timestamp[us, tz=UTC]date 2026-09-12 06:41:55 2026-09-12 06:41:55 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
electricsheepafrica/africa-niger-niger-accessibility-indicators-187f981c | 31 | 31 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"librar... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-humanitarian-needs-cd222ea1 | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-eb337aa0 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
Roy229/ticket-triage-swbza19i | 45 | 45 | 0 | [
"region:us"
] | Roy229 | false | false | false | false | false | false | false | false | false | false | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-global-subnational-population-statistics-24749842 | 31 | 31 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-df2c2d69 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-12bfb64c | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
Thomison/addon_108_20260814_152852 | 141 | 141 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:polars",
"library:mlcroissant",
"library:lerobot",
"region:us",
"LeRobot",
"robotics... | Thomison | false | false | false | true | false | false | true | true | false | false | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-humanitarian-needs-2aafc4e7 | 27 | 27 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-8c92b7f3 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-current-situation-fews-net-acutely-food-insecure-pop-4fc23777 | 30 | 30 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-5ab6ec4f | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-70483bb6 | 38 | 38 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-2f7f40ce | 33 | 33 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-cross-gender-ties-e5682459 | 33 | 33 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-f36d387d | 33 | 33 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-79a62859 | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-960fd782 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-51957e36 | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-4fe55c33 | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-2f98a80d | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-19d84295 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-e2e99e4c | 39 | 39 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-ef9ab69b | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
gorudov/so101_white_brick_two_camera_640x360_v1 | 66 | 66 | 0 | [
"task_categories:robotics",
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:timeseries",
"modality:video",
"library:datasets",
"library:pandas",
"library:polars",
"library:mlcroissant",
"library:lerobot",
"region:us",
"LeRobot"
] | gorudov | false | false | false | true | false | false | true | true | false | false | false | false | 2026-09-12T06:41:55.671773Z |
SnazzyArtist22/Tenna_V2 | 30 | 30 | 0 | [
"license:unknown",
"region:us"
] | SnazzyArtist22 | false | false | false | false | false | false | false | false | false | false | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-165ab0b5 | 27 | 27 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-58c095e4 | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-516e1753 | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-9babbf08 | 31 | 31 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-0352846b | 40 | 40 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-situation-des-inondations-29b2090c | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-9b91490f | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-bb7ef371 | 31 | 31 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-bf2b90e5 | 31 | 31 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-3f15eb28 | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-5a07cd5b | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-e8f58525 | 27 | 27 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-367e8f91 | 27 | 27 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-46179429 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-0d944306 | 38 | 38 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-ff2ee305 | 41 | 41 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-c7f46a1c | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-wildfire-humanitarian-response-plan-hrp-countries-hazard-d-add78b63 | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-4ba69602 | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-3de39b4f | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-db9820c5 | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-b9538a3f | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-163dcbe6 | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-da4486c3 | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-11952f38 | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-8df7061c | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-155f3908 | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-4a39e65c | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-2d7f717a | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-crop-production-humanitarian-response-plan-hrp-countries-e-380d2791 | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-ccd8716d | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-d791faa5 | 39 | 39 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-3a28741c | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-d5f4206f | 33 | 33 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-data-for-the-covid-19-data-explorer-e8b11e82 | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-886428f9 | 27 | 27 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-languages-14ae5bff | 31 | 31 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-languages-4f0b5e05 | 37 | 37 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-sa-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-a5d0f07b | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-humanitarian-access-constraints-due-to-covid-19-pandemic-03afff6f | 33 | 33 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"modality:tabular",
"region:us",
"tabular",
"xlsx",
"africa",
"niger",
"official-statistics",
"open-data"
] | electricsheepafrica | false | false | false | false | false | false | false | false | false | false | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-regional-report-on-food-security-and-nutrition-in-west-afr-3ce58b60 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-3d0a0e18 | 29 | 29 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-e04a4e72 | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-data-for-the-covid-19-data-explorer-0c40e621 | 27 | 27 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-data-for-the-covid-19-data-explorer-9c79f397 | 29 | 29 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-2b6841ac | 38 | 38 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-44bcb038 | 43 | 43 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-litpop-humanitarian-response-plan-hrp-countries-exposure-d-ee93379a | 28 | 28 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-f9e03cc9 | 28 | 28 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-62c715b3 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-0de3e376 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-84fcfe2e | 35 | 35 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-e537b751 | 39 | 39 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:m... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-facebook-commuting-zones-8a78a339 | 30 | 30 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"li... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-5a54af02 | 41 | 41 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-9b3f2d6d | 30 | 30 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-5b618d9f | 36 | 36 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-displacement-data-village-assessment-survey-vas-iom-57f5901f | 42 | 42 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-6b37fedb | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-9ec1f5bf | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
muhammad0-0hreden/DocOCR_N2__run_Baseer__grayscale__denoise_gaussian__remove_border | 31 | 31 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:polars",
"library:mlcroissant",
"region:us"
] | muhammad0-0hreden | false | false | false | false | false | false | false | false | true | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-83b9fb0f | 28 | 28 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-a5eece83 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-a4fc2c38 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libra... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
weili-0234/mpnd-routing-m27-2p4d-edgebench | 14 | 14 | 0 | [
"license:other",
"region:us"
] | weili-0234 | false | false | false | false | false | false | false | false | false | false | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-341b9890 | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-flood-hazard-data-for-disaster-risk-assessment-selected-co-b03551fd | 32 | 32 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:100K<n<1M",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"libr... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-3160a43d | 39 | 39 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-pool-fund-extended-allocation-details-05a1c009 | 32 | 32 | 0 | [
"task_categories:tabular-regression",
"task_categories:time-series-forecasting",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"library:... | electricsheepafrica | false | false | false | false | false | false | true | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-c806c652 | 37 | 37 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-75e6b1c3 | 28 | 28 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-health-facilities-in-sub-saharan-africa-852769b7 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-niger-displacement-data-village-assessment-survey-vas-iom-e8a0f98d | 25 | 25 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |
electricsheepafrica/africa-niger-earthquakes-hazard-data-for-disaster-risk-assessment-selec-c727a135 | 34 | 34 | 0 | [
"task_categories:tabular-classification",
"task_categories:tabular-regression",
"multilinguality:monolingual",
"language:en",
"license:cc-by-4.0",
"size_categories:10K<n<100K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:polars",
"lib... | electricsheepafrica | false | false | false | false | false | false | false | false | false | true | false | false | 2026-09-12T06:41:55.671773Z |