Duplicate from sentence-transformers/msmarco

Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,59 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,278 @@
+---
+dataset_info:
+- config_name: bert-ensemble-margin-mse
+  features:
+  - name: query_id
+    dtype: string
+  - name: positive_id
+    dtype: string
+  - name: negative_id
+    dtype: string
+  - name: score
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 1581481699
+    num_examples: 39780704
+  download_size: 1124942270
+  dataset_size: 1581481699
+- config_name: bert-ensemble-mse
+  features:
+  - name: query_id
+    dtype: string
+  - name: passage_id
+    dtype: string
+  - name: score
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 2298848690
+    num_examples: 79561408
+  download_size: 1513817201
+  dataset_size: 2298848690
+- config_name: corpus
+  features:
+  - name: passage_id
+    dtype: string
+  - name: passage
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 3114616008
+    num_examples: 8841823
+  download_size: 1688968114
+  dataset_size: 3114616008
+- config_name: labeled-list
+  features:
+  - name: query_id
+    dtype: string
+  - name: doc_ids
+    sequence: string
+  - name: labels
+    sequence: int64
+  splits:
+  - name: train
+    num_bytes: 7200227157
+    num_examples: 400282
+  download_size: 2434173045
+  dataset_size: 7200227157
+- config_name: queries
+  features:
+  - name: query_id
+    dtype: string
+  - name: query
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 40009674
+    num_examples: 808731
+  download_size: 29902737
+  dataset_size: 40009674
+- config_name: rankgpt4-colbert
+  features:
+  - name: query_id
+    dtype: string
+  - name: doc_ids
+    sequence: string
+  splits:
+  - name: train
+    num_bytes: 2204107
+    num_examples: 2000
+  download_size: 1650269
+  dataset_size: 2204107
+- config_name: rankzephyr-colbert
+  features:
+  - name: query_id
+    dtype: string
+  - name: doc_ids
+    sequence: string
+  splits:
+  - name: train
+    num_bytes: 11007320
+    num_examples: 10000
+  download_size: 8198146
+  dataset_size: 11007320
+- config_name: triplets
+  features:
+  - name: query_id
+    dtype: string
+  - name: positive_id
+    dtype: string
+  - name: negative_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 12613929573
+    num_examples: 397226027
+  download_size: 10566329165
+  dataset_size: 12613929573
+configs:
+- config_name: bert-ensemble-margin-mse
+  data_files:
+  - split: train
+    path: bert-ensemble-margin-mse/train-*
+- config_name: bert-ensemble-mse
+  data_files:
+  - split: train
+    path: bert-ensemble-mse/train-*
+- config_name: corpus
+  data_files:
+  - split: train
+    path: corpus/train-*
+- config_name: labeled-list
+  data_files:
+  - split: train
+    path: labeled-list/train-*
+- config_name: queries
+  data_files:
+  - split: train
+    path: queries/train-*
+- config_name: rankgpt4-colbert
+  data_files:
+  - split: train
+    path: rankgpt4-colbert/train-*
+- config_name: rankzephyr-colbert
+  data_files:
+  - split: train
+    path: rankzephyr-colbert/train-*
+- config_name: triplets
+  data_files:
+  - split: train
+    path: triplets/train-*
+task_categories:
+- feature-extraction
+- sentence-similarity
+- text-classification
+language:
+- en
+tags:
+- sentence-transformers
+- cross-encoder
+pretty_name: MS MARCO
+size_categories:
+- 100M<n<1B
+---
+
+# MS MARCO Training Dataset
+
+This dataset consists of 4 separate datasets, each using the MS MARCO Queries and passages:
+* `triplets`: This subset contains triplets of query-id, positive-id, negative-id as provided in `qidpidtriples.train.full.2.tsv.gz` from the MS MARCO Website. The only change is that this dataset has been reshuffled. This dataset can easily be used with an `MultipleNegativesRankingLoss` a.k.a. InfoNCE loss.
+* `labeled-list`: This subset contains triplets of query-id, doc-ids, labels, i.e. every query is matched with every document from the `triplets` subset, with the labels column containing a list denoting which doc_ids represent positives and which ones represent negatives.
+* `bert-ensemble-mse`: This subset contains tuples with a score. This score is from the BERT_CAT Ensemble from [Hofstätter et al. 2020](https://zenodo.org/records/4068216), and can easily be used with a `MLELoss` to train an embedding or reranker model via distillation.
+* `bert-ensemble-margin-mse`: This subset contains triplets with a score, such that the score is `ensemble_score(query, positive) - ensemble_score(query, negative)`, also from the BERT_CAT Ensemble from [Hofstätter et al. 2020](https://zenodo.org/records/4068216). It can easily be used with a `MarginMLELoss` to train an embedding or reranker model via distillation.
+* `rankgpt4-colbert`: This subset contains a RankGPT4 reranking of the top 100 MS MARCO passages retrieved by ColBERTv2. This ranking was compiled by [Schlatt et. al 2024](https://zenodo.org/records/11147862).
+* `rankzephyr-colbert`: This subset contains a RankZephyr reranking of the top 100 MS MARCO passages retrieved by ColBERTv2. This ranking was compiled by [Schlatt et. al 2024](https://zenodo.org/records/11147862).
+
+For all datasets, the id's can be converted using the `queries` and `corpus` subsets to real texts.
+
+## Dataset Subsets
+
+### `corpus` subset
+
+* Columns: "passage_id", "passage"
+* Column types: `str`, `str`
+* Examples:
+    ```python
+    {
+      "passage_id": "0",
+      "passage": "The presence of communication amid scientific minds was equally important to the success of the Manhattan Project as scientific intellect was. The only cloud hanging over the impressive achievement of the atomic researchers and engineers is what their success truly meant; hundreds of thousands of innocent lives obliterated.",
+    }
+    ```
+* Collection strategy: Reading `collection.tar.gz` from MS MARCO.
+
+### `queries` subset
+
+* Columns: "query_id", "query"
+* Column types: `str`, `str`
+* Examples:
+    ```python
+    {
+      "query_id": "121352",
+      "query": "define extreme",
+    }
+    ```
+* Collection strategy: Reading `queries.tar.gz` from MS MARCO.
+
+### `triplets` subset
+
+* Columns: "query_id", "positive_id", "negative_id"
+* Column types: `str`, `str`, `str`
+* Examples:
+    ```python
+    {
+      "query_id": "395861",
+      "positive_id": "1185464",
+      "negative_id": "6162229",
+    }
+    ```
+* Collection strategy: Reading `qidpidtriples.train.full.2.tsv.gz` from MS MARCO and shuffling the dataset rows.
+
+### `labeled-list` subset
+
+* Columns: "query_id", "doc_ids", "labels"
+* Column types: `str`, `List[str]`, `List[int]`
+* Examples:
+    ```python
+    {
+      "query_id": "100",
+      "doc_ids": ["3837260", "7854412", "4778006", "7929416", "5833477", "2715823", "903728", "1418399", "2544108", "4592808", "3565885", "260356", "5885724", "2976754", "3530456", "903722", "5136237", "6166367", "5372728", "6166373", "1615726", "5909725", "3278290", "570067", "2628703", "3619930", "3282101", "570061", "1442855", "5293099", "3976606", "3542912", "4358422", "4729309", "3542156", "102825", "2141701", "5885727", "1007725", "5137341", "180070", "2107140", "4942724", "3915139", "7417638", "7426645", "393085", "3129231", "4905980", "3181468", "7218730", "7159323", "5071423", "1609775", "3476284", "2876976", "6064616", "2752167", "5833480", "5451115", "6052155", "6551293", "2710795", "3231730", "1111340", "7885924", "2822828", "3034062", "3515232", "987726", "3129232", "4066994", "3680517", "6560480", "4584385", "5786855", "6117953", "8788361", "1960434", "212333", "7596616", "8433601", "3070543", "3282099", "5559299", "4070401", "5728025", "4584386", "8614523", "7452451", "3059713", "6401629", "6226845", "2710798", "458688", "207737", "5947749", "1615249", "5054795", "6646948", "4222935", "570068", "5860279", "8411096", "2882722", "3660786", "4711085", "4895219", "4929884", "5615159", "6845998", "1460725", "4433443", "5833479", "3542152", "2565332", "6311315", "4021935", "2616000", "7274494", "5241413", "6259470", "1488609", "187116", "8269268", "2399643", "2711733", "987725", "8788355", "7162594", "1164463", "5546714", "180065", "8467768", "4732466", "63493", "2595189", "3314126", "7426649", "856238", "7266280", "7745447", "7900007", "5035510", "373356", "2615996", "987731", "2904166", "4021933", "8149937", "5786854", "3542915", "1922026", "2743264", "4021930", "2821183", "3359767", "2686007", "6241706", "2544107", "2565334", "3070862", "5673424", "1868516", "879518", "2710801", "2878133", "5506342", "7279044", "260357", "1418394", "4198047", "8811927", "6447579", "3187998", "8489919", "2876695", "4641223", "5095750", "1366894", "5343128", "4167730", "4041435", "5676056", "6979590", "8763883", "5915554", "5060317", "8214795", "4932622", "4147294", "6546696", "3909088", "3397816", "4592804", "2268176", "328471", "6695311", "4090950", "2605356", "442753", "2978405", "890707", "3712000", "7227702", "1753582", "3582358", "8091295", "2601271", "3417484", "3450889", "3381536", "8788358", "4869670", "2969334", "8584693", "3026231", "4616200", "4967138", "1668186", "4346365", "4040376", "4655172", "6659144", "3241644", "4337017", "6733817", "8488585", "2701398", "987728", "7021467", "4879063", "5449524", "4043058", "7876390", "3708326", "3202726", "6267835", "7452454", "4111901", "4584380", "2898746", "1770226", "5786858", "2904167", "3767056", "3837262", "8696128", "8714806", "5974586", "4770734", "8614528", "6715004", "5559298", "5522820", "4494346", "4802607", "3505959", "4943876", "5762512", "7900010", "7614375", "641869", "611056", "1620088", "7044504", "5903693", "6470341", "5885731", "2411293", "1729708", "2723955", "4684463", "7632692", "7300912", "570062", "5786857", "1729712", "2859721", "224598", "8049838", "8757368", "2553525", "4276769", "3476280", "5673427", "6196257", "3529315", "1042349", "1008571", "604128", "1274276", "6976077", "558781", "1417835", "8746383", "6534823", "2544102", "4892920", "5326560", "3529311", "8288714", "8410908", "7541381", "8276461", "443963", "1418786", "393082", "2876973", "2041868", "4684460", "2553455", "4294336", "1770227", "1396675", "4821482", "341684", "3317707", "7758155", "1680750", "978378", "4641573", "6447578", "3572351", "7074859", "6560473", "2059066", "7681590", "6241703", "1425182", "941495", "4898655", "2710799", "3694312", "2565339", "5886217", "6997080", "570064", "5697987", "4058317", "3059711", "5540787", "4914280", "413609", "8149940", "2828604", "903721", "4130056", "7126261", "4294342", "4357509", "2041870", "3537437", "1274279", "442759", "3574934", "7007240", "2828792", "4040360", "5504280", "7803953", "6668972", "1698637", "4639591", "782719", "2144188", "3562506", "5287734", "6183651", "7048806", "2628701", "3282102", "7428497", "8503034", "7173876", "3910109", "7900005", "2929050", "2422821", "1753368", "4639589", "7098652", "7969224", "1640132", "6182438", "4981517", "478505", "3404202", "2469894", "5422545", "1164461", "563620", "8602235", "6905110", "260355", "1928946", "2970078", "903729", "2943399", "6990940", "4378415", "3488844", "4748532", "2660195", "357356", "429500", "1729469", "6936575", "3837268", "7133186", "4214920", "5372162", "3428653", "5209141", "6117958", "8165720", "6715084", "6220994", "6801444", "4791658", "4778011", "2553534", "3905953", "6102139", "2370329", "6668971", "2828788", "2844459", "2041872", "4270591", "926981", "8165084", "4381190", "7740134", "8592605", "5156554", "1993432", "2904162", "3837261", "4641221", "4609663", "1925807", "2059063", "5168436", "401623", "1854833", "4655167", "4127921", "4584387", "1425176", "7212830", "4045409", "2863533", "6718879", "3278292", "2244466", "5161597", "1164462", "5870980", "7883558", "3129235", "3837265", "7476186", "3161580", "5449523", "519516", "685140", "5343127", "3304414", "7758154", "235363", "5095754", "4112274", "7300909", "8592603", "8035150", "6052157", "6307419", "207739", "6220993", "386576", "1425177", "1709605", "7562137", "3417479", "987733", "1113623", "5885728", "7816675", "5559303", "424024", "7452453", "7300910", "7072423", "3359765", "6990938", "872482", "4892919", "4942267", "987179", "1396676", "4647425", "6026592", "8430156", "8415731", "2059058", "7949973", "8714805", "7160656", "3282107", "6430813", "4624121", "8614526", "6560476", "5904531", "1736796", "2943403", "8614524", "3856628", "5425825", "4301955", "1960428", "4198046", "1319052", "1236547", "6064613", "2544106", "6226846", "3407251", "7101275", "3928646", "4932629", "4641222", "1770224", "2864823", "5559302", "4791657", "1086512", "6385449", "5927021", "7553032", "260359", "3059706", "4592809", "2504367", "5572084", "3231724", "3542151", "3419457", "7460828", "4778008", "6695308", "6285584", "2562236", "5449527", "3083530", "7264931", "5934860", "2615997", "1425180", "6447581", "3474330", "6063973", "903730", "6395414", "8763555", "3841369", "6733815", "2735696", "811438", "3409169", "1735575", "5148194", "4502897", "926980", "3717515", "572995", "903726", "63492", "3059708", "2951653", "6751200", "3951499", "7402067", "6692933", "5559296", "1636630", "6408893", "5483639", "2876704", "4734029", "8091999", "393083", "3529312", "6953126", "2411292", "6904243", "5577720", "21827", "4188071", "3070541", "655643", "4294334", "1922023", "184834", "1909625", "7403766", "6171714", "6615681", "3282108", "3059178", "3220639", "2710796", "8049834", "1534446", "146937", "2904170", "4781986", "1247371", "6042881", "3538804", "1210555", "2020084", "3129233", "5007960", "1922027", "317861", "7226653", "207734", "6733814", "6214585", "5373863", "2272409", "1753576", "5286536", "903723", "2616001", "1620083", "3861147", "442756", "2475844", "3145217", "599694", "1799545", "2553531", "1573123", "4276764", "4674924", "2904164", "6052158", "1735568", "6560481", "808526", "2544103", "2615640", "4940921", "8714801", "3070861", "2598167", "1358786", "2635123", "2977588", "4648965", "1425178", "7888864", "8744226", "4630697", "5372731", "4632610", "6990933", "6510260", "1733784", "519518", "1922019", "1425175", "925506", "5286618", "3523560", "1960052", "6226842", "2735698", "6938823", "3708010", "4774546", "7831509", "2616002", "8138906", "8048048", "4375739", "1113853", "7831797", "8430159", "2617359", "7197980", "890700", "4198045", "1922022", "6480031", "4778005", "5434672", "5106779", "1113854", "8782468", "4778014", "4584382", "2904163", "1319048", "3746541", "7197976", "1729706", "207736", "7700674", "442751", "2876702", "8366443", "5148192", "872477", "2601268", "8426337", "7274672", "6724762", "3282100", "6844846", "2411294", "2437024", "413607", "6214583", "7241863", "5060319", "1733789", "5477181", "3841373", "599686", "1822109", "6016976", "7710638", "2969339", "317867", "3889980", "6202558", "1922028", "3068679", "6267107", "4778010", "1164456", "2949959", "3770664", "8830401", "5447370", "2654076", "3837264", "514105", "1623873", "2667055", "1706867", "7394057", "4914279", "6179258", "7241866", "7606221", "863939", "572998", "6307420", "3278288", "7636863", "1833550", "7300908", "6659143", "903724", "7274675", "2041874", "7274491", "6052159", "6064611", "5315118", "7452457", "1733790", "7085674", "5607469", "6715080", "7528693", "6151450", "6936572", "8291592", "6052154", "2628704", "5094428", "2544101", "5209142", "2448798", "4898658", "447958", "3907349", "3837266", "1729705", "2615998" "5777752", "4641228", "4767985", "1964628", "5559295", "8344779", "1481317", "570063", "5422544", "4793008", "2544105", "7288672", "4767982", "8342090", "7160653", "7300914", "1206739", "5425329", "8325658", "6052156", "6668963", "442755", "2240500", "4647422", "6878782", "4040434", "4358312", "8204234", "8512015", "63496", "7229500", "7182554", "6151448", "5974582", "7173877", "8092000", "7212835", "3199491", "393998", "8035146", "1396680", "2735697", "925501", "1922025", "5885730", "1729713", "2755336", "7138459", "570070", "4021934", "903727", "6268913", "4739388", "7241868", "4030464", "2951657", "5974587", "1332617", "3869948", "8705052", "7266276", "7900253", "1614143", "5422548", "1272014", "7861061", "1998585", "3359677", "3985679", "3359768", "519514", "3841374", "3120523", "4021936", "1729707", "1440281", "558784", "5432868", "3205742", "4632606", "5950757", "8419081", "1733791", "4684461", "8049837", "1586152", "4045410", "6447577", "5521525", "2335443", "3311387", "4045403", "1922020", "7488188", "3713391", "1425179", "2859933", "1941737", "3557852", "6361227", "7226652", "5596636", "6165753", "4021931", "8614521", "3542911", "3010907", "3059705", "545587", "5969529", "6560475", "4378414", "570065", "8426345", "7892254", "3059707", "1922024", "1440190", "8149931", "7197977", "2283513", "2978402", "1137959", "3542917", "1615721", "4294340", "3282103", "7976948", "5227466", "2411296", "3492171", "6560474", "977993", "1846450", "8101033", "4356464", "7887336", "36611", "7203435", "5564079", "224596", "7300911", "5886218", "6165751", "4462443", "4684459", "3417478", "2951654", "3186729", "3239802", "3708321", "7664369", "2107143", "6300526", "3289374", "3059710", "4147291", "4641226", "2274293", "5559300", "3770671", "8398154", "488886", "6241704", "2555898", "3488845", "3630018", "1677477", "4639587", "2601269", "1693298", "5424209", "7816672", "8788359", "3428649", "3231726", "2710794", "4329499", "8115452", "6259463", "6285580", "8605584", "3059709", "4270589", "2555856", "2424358", "4211101", "1922021", "4432101"],
+      "labels": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+    }
+    ```
+* Collection strategy: Reading the `triplets` subset and grouping all triplets by query_id. The large majority of queries have exactly 1000 doc_ids, out of which often only 1 is labeled positive. Up to 7 documents are labeled positive per query in the entire subset.
+
+
+### `bert-ensemble-mse` subset
+
+* Columns: "query_id", "passage_id", "score"
+* Column types: `str`, `str`, `float64`
+* Examples:
+    ```python
+    {
+      "query_id": "400296",
+      "passage_id": "1540783",
+      "score": 6.624662,
+    }
+    ```
+* Collection strategy: Reading the BERT_CAT Ensemble scores from [Hofstätter et al. 2020](https://zenodo.org/records/4068216).
+
+### `bert-ensemble-margin-mse` subset
+
+* Columns: "query_id", "positive_id", "negative_id", "score"
+* Column types: `str`, `str`, `str`, `float64`
+* Examples:
+    ```python
+    {
+      "query_id": "400296",
+      "positive_id": "1540783",
+      "negative_id": "3518497",
+      "score": 4.028059,
+    }
+    ```
+* Collection strategy: Reading the BERT_CAT Ensemble scores from [Hofstätter et al. 2020](https://zenodo.org/records/4068216) and computing `score = pos_score - neg_score` for each triplet.
+
+### `rankgpt4-colbert` subset
+
+* Columns: "query_id", "doc_ids"
+* Column types: `str`, `list[str]`
+* Examples:
+    ```python
+    {
+      "query_id": "1002990",
+      "doc_ids": ["3227617", "3227618", "2425847", "3290896", "6964111", "6136903", "6136902", "6136909", "2242080", "2425843", "3227616", "3227622", "4433358", "2625224", "1292817", "3151910", "3151908", "1292819", "2597066", "1292822", "2597061", "1292823", "1292821", "2242077", "7869866", "2242076", "6964112", "3227613", "3227614", "3227620", "8466240", "4503976", "2022084", "4503979", "5220703", "4274806", "4274800", "4274805", "4274799", "4274801", "3227621", "4433357", "4760228", "8801589", "4433356", "4274797", "5334021", "5019160", "4784355", "2625226", "4820159", "6136907", "6136908", "8743919", "2625222", "4261266", "2242079", "2242075", "2242078", "4760231", "4760233", "3305593", "6078688", "6136910", "8185538", "4357995", "2276483", "7752", "2104661", "7135886", "3151912", "3526055", "4252749", "4252745", "2731898", "2425844", "4433361", "531164", "3627638", "3627630", "2589697", "4252748", "3208439", "4760234", "2069200", "5024557", "2512795", "2845254", "7051021", "8516705", "3627631", "1629565", "4303606", "8679732", "4228604", "1006454", "4303602", "6136906", "6136905", "4433362"],
+    }
+    ```
+* Collection strategy: Reading the `__rankgpt-colbert-2000-sampled-100__msmarco-passage-train-judged.run` file from https://zenodo.org/records/11147862, which were compiled by [Schlatt et al.](https://arxiv.org/abs/2405.07920).
+
+### `rankzephyr-colbert` subset
+
+* Columns: "query_id", "doc_ids"
+* Column types: `str`, `list[str]`
+* Examples:
+    ```python
+    {
+      "query_id": "1002990",
+      "doc_ids": ["3227618", "3227616", "3227617", "3227622", "2625224", "4433358", "3227621", "4433357", "7869866", "2242079", "2242075", "2242078", "6136907", "2425847", "4433356", "6136905", "6136906", "3227614", "3227613", "3227620", "2242076", "4760228", "2625226", "5334021", "1292823", "4760231", "1292821", "2242077", "2597061", "4433362", "4274805", "1292817", "3151908", "3151910", "2597066", "6136908", "6136902", "3290896", "4820159", "8801589", "4784355", "5019160", "4274800", "4274801", "4274806", "4274797", "6136903", "4760233", "5024557", "2512795", "6964112", "6964111", "2625222", "6078688"4303606", "7051021", "4261266", "6136909", "8466240", "4503976", "7752", "2104661", "7135886", "3208439", "4228604", "8679732", "2022084", "4433361", "430360"4760234", "4252745", "4252748"]
+    }
+    ```
+* Collection strategy: Reading the `__rankzephyr-colbert-10000-sampled-100__msmarco-passage-train-judged.run` file from https://zenodo.org/records/11147862, which were compiled by [Schlatt et al.](https://arxiv.org/abs/2405.07920).

bert-ensemble-margin-mse/train-00000-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:382162e76d09ac4651458026babd06de605dc897a73f814e5a895213ecdfb15a
+size 281102531

bert-ensemble-margin-mse/train-00001-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5310d7481bdf027fc552a6ebc4b86ca1ad5c0b4d7be2327da934e49807789e5
+size 281513880

bert-ensemble-margin-mse/train-00002-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e94e15d939fc002ac59541399a1e2459eb599e6f0aa1d1753a23bc7212c26b92
+size 281109547

bert-ensemble-margin-mse/train-00003-of-00004.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8d49f1203d4321b5ca3ae4baa0a96fabef7c140451957979cc8ad4512b9548c
+size 281216312

bert-ensemble-mse/train-00000-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00e1c76cc59178b5083d1e0d69c8d38f1d26e493cc68fe9d79e186fac92a691d
+size 302645903

bert-ensemble-mse/train-00001-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7f1113b29ecaef386a4fe5d90bb4801bad534420e7275f2cd473201f4a2755f
+size 302971768

bert-ensemble-mse/train-00002-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38fc462e37f8a94e9a7620d772025093ba40d5eab68f5d3fdd5e4e14f82c2d01
+size 302771748

bert-ensemble-mse/train-00003-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a3bb2e606b5a26c048f77dbcf31899ffd56fb8c6ed9419af1286c0973f2e146
+size 302556912

bert-ensemble-mse/train-00004-of-00005.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27165b1d2e85d07931d63894b7a8ab050cc59f79acfecda996c550c24bcda9e4
+size 302870870

corpus/train-00000-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe08f97565b012921ab13ab6a9d6c27e13ce4743804fca631ee94ef3322ec9e2
+size 238015524

corpus/train-00001-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95e97e79bab6d9c40cfcb3bf9f1d21a1326860149a5a2b545afe81f33648f008
+size 239744380

corpus/train-00002-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f90f06a6bb1f008817308d7142fb2cd7420955511606b488c461ba623402087
+size 242007381

corpus/train-00003-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef033c167eab2e93c6d98af816e283460cdf01bfce3dfd235cd5f88a29150d5
+size 242752380

corpus/train-00004-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a061b8e6192a331dff59e09355236d365171408767b716c6b4b3a97d7fd3512a
+size 245397947

corpus/train-00005-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81fe99942d14f202453259a638be78ecb4ee2aa1b044a58fca25a1131975d16e
+size 241134130

corpus/train-00006-of-00007.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0f1998bc1e9f302f4a5c0c82dda3db7f680bb2793b6ad15da5bbf4b429edc61a
+size 239916372

labeled-list/train-00000-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4605ce59f7981efe59553354bcf1989fe5a0f07b1fb77ef0820de610aa8b498d
+size 168992698

labeled-list/train-00001-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42198142c164b6569c4576e73687eba4505c7f06033a30eeb97bfac39abb24f8
+size 168536003

labeled-list/train-00002-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e94a16d0cd7c529c0fc55cab8657dc9430b8a96429aaea409116d1a6acc8b02
+size 169730580

labeled-list/train-00003-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2257400412e922e1633f67e3e15277af10cc2b827407c20bf551fb653c6d6029
+size 161299280

labeled-list/train-00004-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29d0f1cbd3e0bc64b2bb6864a6872199ceb7d6dc065805a0b89455e51baef1a6
+size 169530825

labeled-list/train-00005-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3915c501b0c651187df81d49c7c83566529a6c36cde416c184d46dd8480a9cc7
+size 166467824

labeled-list/train-00006-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73b6697197ec965f2bd94229d9ce6635b976637ef78f97a1537f57c72d2b0606
+size 168933474

labeled-list/train-00007-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f43d422ae6c0e76c4b70f99d4d1222f0730edb97494d58192c7136b318f8903c
+size 168830537

labeled-list/train-00008-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4084431b545d20bc07534a215d4c28940c9785d592ba5df4ead85b323ca031fb
+size 167375247

labeled-list/train-00009-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ed3c54d2cbc2cd273036b07ff675086fad697139bd06447b350e81b9b3fc5a5
+size 158851084

labeled-list/train-00010-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c02168dafa0e903a503d89ea0eae10ea73637e8f160f3a5bbf37bd70a4b6c54
+size 148386847

labeled-list/train-00011-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f510767790b142286452a7f1cf224f7fa87276641f2fd1d4a64c619880a6ab6d
+size 133492299

labeled-list/train-00012-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7e44c340498f5f2fda2a72f5c64470c442fb079f62336935baadc077cb634c4
+size 157065932

labeled-list/train-00013-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1449f71633250ad44b0e4afa243e2b4e6e05fdd7bec3caf1df0dd26435027b3f
+size 164471259

labeled-list/train-00014-of-00015.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7da72442ed010a263be2ff6d9387dff2900a98811c12b5477b6e3069d6951c5e
+size 162209156

queries/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6e2078407a5a4766056f2104a36773861679987a55ed2210ea74f0ade36ce267
+size 29902737

rankgpt4-colbert/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c22a332d3d72477c80724ddffe3f7f46ec61c12d1906bd9f843872a1a48d398
+size 1650269

rankzephyr-colbert/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d888d20e1e873861a124746f60b2bd9d28ab781ff45ea9cf6d5f103b29ebada
+size 8198146

triplets/train-00000-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb360a48570ebb93cde3727890cd63f7c642c26bacf91136fc393b8095447ac9
+size 406380571

triplets/train-00001-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:707632fe64ebfcb9534aa9724e9ee118b956a7df4cf2ac0a8e6bdd8bed64d681
+size 406396677

triplets/train-00002-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b06886a3aab0f4de29a1543d9ca9ccd11a82da1018ad9e96a5411bca3fb3a3c1
+size 406379677

triplets/train-00003-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58a50b108b3fcd4043ebabc0677a3ffd426b49ece4c604858c69df97703bf3dd
+size 406406168

triplets/train-00004-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15e3e6f85f4d64b818db67639dd2df61cf9de6ec168a2bc06ea33db69e6a8560
+size 406404639

triplets/train-00005-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f7e7dd0838c27be5c054a2b96a628e5c8b46473d7471b433014817c4812d577
+size 406401519

triplets/train-00006-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41b8bd816c590badf6dd36cfb4718daed3da1291bfd1b8bef5a6923c8c1167c2
+size 406393295

triplets/train-00007-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aff7e8a97f43523cb0dae99b362f477ce986c80d25ec1e28a1ef6a53f0b00df9
+size 406396517

triplets/train-00008-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce89bcdca5e79902522a32adb4d89dd9e998b495c36b9a2741c891d2e4821410
+size 406397730

triplets/train-00009-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5291019d74ea2816d46b984e76086975511dc43edce474739bb5a3602117a26b
+size 406400825

triplets/train-00010-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5d89505d9b8a7489b591969b9d385cc676d61cdd804098a0fefcb59e4dfc6c7
+size 406398793

triplets/train-00011-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5a3849b407ad848660d5985e3e0a294ce583f556b96f5c3315d4543a1128432
+size 406396371

triplets/train-00012-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fb87006c73f149104e441ee205bcd16e0656fa4f625bdb467e620015824d0ad
+size 406400718

triplets/train-00013-of-00026.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6c430cb5d6de72e350ce667643c25c1a53df3e43f1d5feb28dbb1c441d0a3be
+size 406409200