Add results

results.py

@@ -7,8 +7,14 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 
 
-_CITATION = """
-TODO
+_CITATION = """@article{muennighoff2022mteb,
+  doi = {10.48550/ARXIV.2210.07316},
+  url = {https://arxiv.org/abs/2210.07316},
+  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Loïc and Reimers, Nils},
+  title = {MTEB: Massive Text Embedding Benchmark},
+  publisher = {arXiv},
+  year = {2022}
+}
 """
 
 _DESCRIPTION = """\
@@ -16,7 +22,7 @@ Results on MTEB
 """
 
 URL = "https://huggingface.co/datasets/mteb/results/resolve/main/paths.json"
-VERSION = datasets.Version("1.0.0")
+VERSION = datasets.Version("1.0.1")
 EVAL_LANGS = ['af', 'afr-eng', 'am', 'amh-eng', 'ang-eng', 'ar', 'ar-ar', 'ara-eng', 'arq-eng', 'arz-eng', 'ast-eng', 'awa-eng', 'az', 'aze-eng', 'bel-eng', 'ben-eng', 'ber-eng', 'bn', 'bos-eng', 'bre-eng', 'bul-eng', 'cat-eng', 'cbk-eng', 'ceb-eng', 'ces-eng', 'cha-eng', 'cmn-eng', 'cor-eng', 'csb-eng', 'cy', 'cym-eng', 'da', 'dan-eng', 'de', 'de-fr', 'de-pl', 'deu-eng', 'dsb-eng', 'dtp-eng', 'el', 'ell-eng', 'en', 'en-ar', 'en-de', 'en-en', 'en-tr', 'epo-eng', 'es', 'es-en', 'es-es', 'es-it', 'est-eng', 'eus-eng', 'fa', 'fao-eng', 'fi', 'fin-eng', 'fr', 'fr-en', 'fr-pl', 'fra-eng', 'fry-eng', 'gla-eng', 'gle-eng', 'glg-eng', 'gsw-eng', 'he', 'heb-eng', 'hi', 'hin-eng', 'hrv-eng', 'hsb-eng', 'hu', 'hun-eng', 'hy', 'hye-eng', 'id', 'ido-eng', 'ile-eng', 'ina-eng', 'ind-eng', 'is', 'isl-eng', 'it', 'it-en', 'ita-eng', 'ja', 'jav-eng', 'jpn-eng', 'jv', 'ka', 'kab-eng', 'kat-eng', 'kaz-eng', 'khm-eng', 'km', 'kn', 'ko', 'ko-ko', 'kor-eng', 'kur-eng', 'kzj-eng', 'lat-eng', 'lfn-eng', 'lit-eng', 'lv', 'lvs-eng', 'mal-eng', 'mar-eng', 'max-eng', 'mhr-eng', 'mkd-eng', 'ml', 'mn', 'mon-eng', 'ms', 'my', 'nb', 'nds-eng', 'nl', 'nl-ende-en', 'nld-eng', 'nno-eng', 'nob-eng', 'nov-eng', 'oci-eng', 'orv-eng', 'pam-eng', 'pes-eng', 'pl', 'pl-en', 'pms-eng', 'pol-eng', 'por-eng', 'pt', 'ro', 'ron-eng', 'ru', 'rus-eng', 'sl', 'slk-eng', 'slv-eng', 'spa-eng', 'sq', 'sqi-eng', 'srp-eng', 'sv', 'sw', 'swe-eng', 'swg-eng', 'swh-eng', 'ta', 'tam-eng', 'tat-eng', 'te', 'tel-eng', 'tgl-eng', 'th', 'tha-eng', 'tl', 'tr', 'tuk-eng', 'tur-eng', 'tzl-eng', 'uig-eng', 'ukr-eng', 'ur', 'urd-eng', 'uzb-eng', 'vi', 'vie-eng', 'war-eng', 'wuu-eng', 'xho-eng', 'yid-eng', 'yue-eng', 'zh-CN', 'zh-TW', 'zh-en', 'zsm-eng']
 
 SKIP_KEYS = ["std", "evaluation_time", "main_score", "threshold"]

results/text-search-ada-001/ArguAna.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.22973,
+        "ndcg_at_10": 0.46913,
+        "ndcg_at_100": 0.5155,
+        "ndcg_at_1000": 0.52015,
+        "ndcg_at_3": 0.36961,
+        "ndcg_at_5": 0.41968
+    },
+    "mteb_dataset_name": "ArguAna",
+    "dataset_revision": "5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3"
+}

results/text-search-ada-001/ClimateFEVER.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.185
+    },
+    "mteb_dataset_name": "ClimateFEVER",
+    "dataset_revision": "392b78eb68c07badcd7c2cd8f39af108375dfcce"
+}

results/text-search-ada-001/DBPedia.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.362
+    },
+    "mteb_dataset_name": "DBPedia",
+    "dataset_revision": "392b78eb68c07badcd7c2cd8f39af108375dfcce"
+}

results/text-search-ada-001/FEVER.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.721
+    },
+    "mteb_dataset_name": "DBPedia",
+    "dataset_revision": "392b78eb68c07badcd7c2cd8f39af108375dfcce"
+}

results/text-search-ada-001/FiQA2018.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.36574,
+        "ndcg_at_10": 0.38412,
+        "ndcg_at_100": 0.45239,
+        "ndcg_at_1000": 0.48565,
+        "ndcg_at_3": 0.34654,
+        "ndcg_at_5": 0.35834
+    },
+    "mteb_dataset_name": "FiQA2018",
+    "dataset_revision": "41b686a7f28c59bcaaa5791efd47c67c8ebe28be"
+}

results/text-search-ada-001/HotpotQA.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.70263,
+        "ndcg_at_10": 0.59393,
+        "ndcg_at_100": 0.62803,
+        "ndcg_at_1000": 0.64291,
+        "ndcg_at_3": 0.54729,
+        "ndcg_at_5": 0.57205
+    },
+    "mteb_dataset_name": "HotpotQA",
+    "dataset_revision": "766870b35a1b9ca65e67a0d1913899973551fc6c"
+}

results/text-search-ada-001/MSMARCO.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "validation": {
+        "ndcg_at_1": 0.19628,
+        "ndcg_at_10": 0.37935,
+        "ndcg_at_100": 0.44023,
+        "ndcg_at_1000": 0.45339,
+        "ndcg_at_3": 0.29635,
+        "ndcg_at_5": 0.33764
+    },
+    "mteb_dataset_name": "MSMARCO",
+    "dataset_revision": "e6838a846e2408f22cf5cc337ebc83e0bcf77849"
+}

results/text-search-ada-001/NFCorpus.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.4226,
+        "ndcg_at_10": 0.3317,
+        "ndcg_at_100": 0.30742,
+        "ndcg_at_1000": 0.3966,
+        "ndcg_at_3": 0.38399,
+        "ndcg_at_5": 0.3664
+    },
+    "mteb_dataset_name": "NFCorpus",
+    "dataset_revision": "7eb63cc0c1eb59324d709ebed25fcab851fa7610"
+}

results/text-search-ada-001/NQ.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.2697,
+        "ndcg_at_10": 0.42815,
+        "ndcg_at_100": 0.47662,
+        "ndcg_at_1000": 0.49004,
+        "ndcg_at_3": 0.35424,
+        "ndcg_at_5": 0.39186
+    },
+    "mteb_dataset_name": "NQ",
+    "dataset_revision": "6062aefc120bfe8ece5897809fb2e53bfe0d128c"
+}

results/text-search-ada-001/QuoraRetrieval.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.5904,
+        "ndcg_at_10": 0.70572,
+        "ndcg_at_100": 0.73658,
+        "ndcg_at_1000": 0.74238,
+        "ndcg_at_3": 0.65743,
+        "ndcg_at_5": 0.68183
+    },
+    "mteb_dataset_name": "QuoraRetrieval",
+    "dataset_revision": "6205996560df11e3a3da9ab4f926788fc30a7db4"
+}

results/text-search-ada-001/README.md

@@ -0,0 +1 @@
+Uses the text-search-ada-query-001 endpoint for symmetric tasks (Clustering, Classification etc.) & text-search-ada-query-001 + text-search-ada-doc-001 for asymmetric tasks (Retrieval).

results/text-search-ada-001/SCIDOCS.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.182,
+        "ndcg_at_10": 0.14827,
+        "ndcg_at_100": 0.21374,
+        "ndcg_at_1000": 0.26446,
+        "ndcg_at_3": 0.14616,
+        "ndcg_at_5": 0.12446
+    },
+    "mteb_dataset_name": "SCIDOCS",
+    "dataset_revision": "5c59ef3e437a0a9651c8fe6fde943e7dce59fba5"
+}

results/text-search-ada-001/SciFact.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.55667,
+        "ndcg_at_10": 0.67255,
+        "ndcg_at_100": 0.70377,
+        "ndcg_at_1000": 0.7092,
+        "ndcg_at_3": 0.6249,
+        "ndcg_at_5": 0.64426
+    },
+    "mteb_dataset_name": "SciFact",
+    "dataset_revision": "a75ae049398addde9b70f6b268875f5cbce99089"
+}

results/text-search-ada-001/TRECCOVID.json

@@ -0,0 +1,13 @@
+{
+    "test": {
+        "ndcg_at_1": 0.8,
+        "ndcg_at_10": 0.72425,
+        "ndcg_at_100": 0.46359,
+        "ndcg_at_1000": 0.36957,
+        "ndcg_at_3": 0.7505,
+        "ndcg_at_5": 0.72425
+    },
+    "mteb_version": "0.0.2",
+    "mteb_dataset_name": "TRECCOVID",
+    "dataset_revision": "2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217"
+}

results/text-search-ada-001/Touche2020.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.34694,
+        "ndcg_at_10": 0.28679,
+        "ndcg_at_100": 0.38461,
+        "ndcg_at_1000": 0.50115,
+        "ndcg_at_3": 0.30154,
+        "ndcg_at_5": 0.29106
+    },
+    "mteb_dataset_name": "Touche2020",
+    "dataset_revision": "527b7d77e16e343303e68cb6af11d6e18b9f7b3b"
+}

results/text-search-babbage-001/ArguAna.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.492
+    },
+    "mteb_dataset_name": "ArguAna",
+    "dataset_revision": "5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3"
+}

results/text-search-babbage-001/ClimateFEVER.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.199
+    },
+    "mteb_dataset_name": "ClimateFEVER",
+    "dataset_revision": "392b78eb68c07badcd7c2cd8f39af108375dfcce"
+}

results/text-search-babbage-001/FEVER.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.770
+    },
+    "mteb_dataset_name": "DBPedia",
+    "dataset_revision": "392b78eb68c07badcd7c2cd8f39af108375dfcce"
+}

results/text-search-babbage-001/FiQA2018.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.422
+    },
+    "mteb_dataset_name": "FiQA2018",
+    "dataset_revision": "41b686a7f28c59bcaaa5791efd47c67c8ebe28be"
+}

results/text-search-babbage-001/HotpotQA.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.631
+    },
+    "mteb_dataset_name": "HotpotQA",
+    "dataset_revision": "766870b35a1b9ca65e67a0d1913899973551fc6c"
+}

results/text-search-babbage-001/NFCorpus.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.367
+    },
+    "mteb_dataset_name": "NFCorpus",
+    "dataset_revision": "7eb63cc0c1eb59324d709ebed25fcab851fa7610"
+}

results/text-search-babbage-001/QuoraRetrieval.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.697
+    },
+    "mteb_dataset_name": "QuoraRetrieval",
+    "dataset_revision": "6205996560df11e3a3da9ab4f926788fc30a7db4"
+}

results/text-search-babbage-001/SciFact.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.704
+    },
+    "mteb_dataset_name": "SciFact",
+    "dataset_revision": "a75ae049398addde9b70f6b268875f5cbce99089"
+}

results/text-search-babbage-001/TRECCOVID.json

@@ -0,0 +1,8 @@
+{
+    "test": {
+        "ndcg_at_10": 0.585
+    },
+    "mteb_version": "0.0.2",
+    "mteb_dataset_name": "TRECCOVID",
+    "dataset_revision": "2c8041b2c07a79b6f7ba8fe6acc72e5d9f92d217"
+}

results/text-search-babbage-001/Touche2020.json

@@ -0,0 +1,8 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_10": 0.297
+    },
+    "mteb_dataset_name": "Touche2020",
+    "dataset_revision": "527b7d77e16e343303e68cb6af11d6e18b9f7b3b"
+}

results/text-search-curie-001/ArguAna.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.22048,
+        "ndcg_at_10": 0.46978,
+        "ndcg_at_100": 0.51521,
+        "ndcg_at_1000": 0.51879,
+        "ndcg_at_3": 0.35922,
+        "ndcg_at_5": 0.41213
+    },
+    "mteb_dataset_name": "ArguAna",
+    "dataset_revision": "5b3e3697907184a9b77a3c99ee9ea1a9cbb1e4e3"
+}

results/text-search-curie-001/CQADupstackAndroidRetrieval.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.36195,
+        "ndcg_at_10": 0.44515,
+        "ndcg_at_100": 0.50393,
+        "ndcg_at_1000": 0.52734,
+        "ndcg_at_3": 0.3973,
+        "ndcg_at_5": 0.4181
+    },
+    "mteb_dataset_name": "CQADupstackAndroidRetrieval",
+    "dataset_revision": "2b9f5791698b5be7bc5e10535c8690f20043c3db"
+}

results/text-search-curie-001/CQADupstackEnglishRetrieval.json

@@ -0,0 +1,13 @@
+{
+    "mteb_version": "0.0.2",
+    "test": {
+        "ndcg_at_1": 0.41274,
+        "ndcg_at_10": 0.47138,
+        "ndcg_at_100": 0.51287,
+        "ndcg_at_1000": 0.53371,
+        "ndcg_at_3": 0.43786,
+        "ndcg_at_5": 0.4521
+    },
+    "mteb_dataset_name": "CQADupstackEnglishRetrieval",
+    "dataset_revision": "2b9f5791698b5be7bc5e10535c8690f20043c3db"
+}