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.gitattributes

@@ -56,3 +56,4 @@ saved_model/**/* 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
+collection.json filter=lfs diff=lfs merge=lfs -text

0.codes.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5812764
+oid sha256:0abef08fe9011b124994c16d9ec3a951112be0fd61659d1bea88fd893732010a
+size 14738012

0.metadata.json

@@ -1,6 +1,6 @@
 {
     "passage_offset": 0,
-    "num_passages": 10145,
-    "num_embeddings": 1452896,
+    "num_passages": 25000,
+    "num_embeddings": 3684220,
     "embedding_offset": 0
 }

0.residuals.pt

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 version https://git-lfs.github.com/spec/v1
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-size 34870704
+oid sha256:349a9d15c8e7445dba7519ea95f64aef5a620ea5a455d61b748903dd1a7d9c5d
+size 88422448

1.codes.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee9965ec44628415cdfb0e91171b8be58b889449657b5d2fada62c212969bddb
+size 7177180

1.metadata.json

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+{
+    "passage_offset": 25000,
+    "num_passages": 11905,
+    "num_embeddings": 1794006,
+    "embedding_offset": 3684220
+}

1.residuals.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:84c2043d2e66cc65626dd2defa18c750811095935c06c8df64a5f0dcbb224b70
+size 43057328

avg_residual.pt

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:c69f5be2935aeaf9afdc6d9369c9f67cb4ad1885c8fa54158811d3959875da59
 size 1205

buckets.pt

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 version https://git-lfs.github.com/spec/v1
-oid sha256:903f7cb8a32d0c64bae0f87e2833f3061ab475f53cb56940364ba71479337daa
+oid sha256:b5973630ae60aa58a38642ab1e5e11746b907062e255570187f8882f3e548ade
 size 1432

centroids.pt

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 version https://git-lfs.github.com/spec/v1
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-size 3146918
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doclens.1.json

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ivf.pid.pt

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metadata.json

@@ -37,11 +37,11 @@
     "checkpoint":"answerdotai/answerai-colbert-small-v1",
     "triples":"/home/bclavie/colbertv2.5_en/data/msmarco/triplets.jsonl",
     "collection":[
-      "list with 10145 elements starting with...",
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       [
-        "# Dataset Card for MMLU\n\n## Table of Contents\n- [Table of Contents](#table-of-contents)\n- [Dataset Description](#dataset-description)\n  - [Dataset Summary](#dataset-summary)\n  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)\n  - [Languages](#languages)\n- [Dataset Structure](#dataset-structure)\n  - [Data Instances](#data-instances)\n  - [Data Fields](#data-fields)\n  - [Data Splits](#data-splits)\n- [Dataset Creation](#dataset-creation)\n  - [Curation Rationale](#curation-rationale)\n  - [Source Data](#source-data)\n  - [Annotations](#annotations)\n  - [Personal and Sensitive Information](#personal-and-sensitive-information)\n- [Considerations for Using the Data](#considerations-for-using-the-data)\n  - [Social Impact of Dataset](#social-impact-of-dataset)\n  - [Discussion of Biases](#discussion-of-biases)\n  - [Other Known Limitations](#other-known-limitations)\n- [Additional Information](#additional-information)\n  - [Dataset Curators](#dataset-curators)\n  -",
-        "Impact of Dataset](#social-impact-of-dataset)\n  - [Discussion of Biases](#discussion-of-biases)\n  - [Other Known Limitations](#other-known-limitations)\n- [Additional Information](#additional-information)\n  - [Dataset Curators](#dataset-curators)\n  - [Licensing Information](#licensing-information)\n  - [Citation Information](#citation-information)\n  - [Contributions](#contributions)\n\n## Dataset Description\n\n- **Repository**: https://github.com/hendrycks/test\n- **Paper**: https://arxiv.org/abs/2009.03300\n\n### Dataset Summary\n\n[Measuring Massive Multitask Language Understanding](https://arxiv.org/pdf/2009.03300) by [Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/), [Collin Burns](http://collinpburns.com), [Steven Basart](https://stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https://people.eecs.berkeley.edu/~dawnsong/), and [Jacob Steinhardt](https://www.",
-        "com), [Steven Basart](https://stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https://people.eecs.berkeley.edu/~dawnsong/), and [Jacob Steinhardt](https://www.stat.berkeley.edu/~jsteinhardt/) (ICLR 2021).\n\nThis is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability.\n\nA complete list of tasks: ['abstract_algebra', 'anatomy', 'astronomy', 'business_ethics', 'clinical_knowledge', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_medicine', 'college_physics', 'computer_security', 'conceptual_physics', 'econometrics', 'electrical_engineering', 'elementary_mathematics', 'formal_logic',"
+        "## Table of Contents\n- [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) -",
+        "- [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions)\n\n## Dataset Description\n- **Repository**: https://github.com/hendrycks/test - **Paper**: https://arxiv.org/abs/2009.03300\n\n### Dataset Summary\n[Measuring Massive Multitask Language Understanding](https://arxiv.org/pdf/2009.03300) by [Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/), [Collin Burns](http://collinpburns.com), [Steven Basart](https://stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https://people.eecs.berkeley.edu/~dawnsong/), and [Jacob Steinhardt](https://www.stat.berkeley.edu/~jsteinhardt/) (ICLR 2021).",
+        "art), Andy Zou, Mantas Mazeika, [Dawn Song](https://people.eecs.berkeley.edu/~dawnsong/), and [Jacob Steinhardt](https://www.stat.berkeley.edu/~jsteinhardt/) (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. A complete list of tasks: ['abstract_algebra', 'anatomy', 'astronomy', 'business_ethics', 'clinical_knowledge', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_medicine', 'college_physics', 'computer_security', 'conceptual_physics', 'econometrics', 'electrical_engineering', 'elementary_mathematics', 'formal_logic', 'global_facts', 'high_school_biology',"
       ]
     ],
     "queries":"/home/bclavie/colbertv2.5_en/data/msmarco/queries.tsv",
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     "root":".ragatouille/",
     "experiment":"colbert",
     "index_root":null,
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plan.json

@@ -37,11 +37,11 @@
         "checkpoint": "answerdotai\/answerai-colbert-small-v1",
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         "collection": [
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+            "list with 36905 elements starting with...",
             [
-                "# Dataset Card for MMLU\n\n## Table of Contents\n- [Table of Contents](#table-of-contents)\n- [Dataset Description](#dataset-description)\n  - [Dataset Summary](#dataset-summary)\n  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)\n  - [Languages](#languages)\n- [Dataset Structure](#dataset-structure)\n  - [Data Instances](#data-instances)\n  - [Data Fields](#data-fields)\n  - [Data Splits](#data-splits)\n- [Dataset Creation](#dataset-creation)\n  - [Curation Rationale](#curation-rationale)\n  - [Source Data](#source-data)\n  - [Annotations](#annotations)\n  - [Personal and Sensitive Information](#personal-and-sensitive-information)\n- [Considerations for Using the Data](#considerations-for-using-the-data)\n  - [Social Impact of Dataset](#social-impact-of-dataset)\n  - [Discussion of Biases](#discussion-of-biases)\n  - [Other Known Limitations](#other-known-limitations)\n- [Additional Information](#additional-information)\n  - [Dataset Curators](#dataset-curators)\n  -",
-                "Impact of Dataset](#social-impact-of-dataset)\n  - [Discussion of Biases](#discussion-of-biases)\n  - [Other Known Limitations](#other-known-limitations)\n- [Additional Information](#additional-information)\n  - [Dataset Curators](#dataset-curators)\n  - [Licensing Information](#licensing-information)\n  - [Citation Information](#citation-information)\n  - [Contributions](#contributions)\n\n## Dataset Description\n\n- **Repository**: https:\/\/github.com\/hendrycks\/test\n- **Paper**: https:\/\/arxiv.org\/abs\/2009.03300\n\n### Dataset Summary\n\n[Measuring Massive Multitask Language Understanding](https:\/\/arxiv.org\/pdf\/2009.03300) by [Dan Hendrycks](https:\/\/people.eecs.berkeley.edu\/~hendrycks\/), [Collin Burns](http:\/\/collinpburns.com), [Steven Basart](https:\/\/stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https:\/\/people.eecs.berkeley.edu\/~dawnsong\/), and [Jacob Steinhardt](https:\/\/www.",
-                "com), [Steven Basart](https:\/\/stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https:\/\/people.eecs.berkeley.edu\/~dawnsong\/), and [Jacob Steinhardt](https:\/\/www.stat.berkeley.edu\/~jsteinhardt\/) (ICLR 2021).\n\nThis is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability.\n\nA complete list of tasks: ['abstract_algebra', 'anatomy', 'astronomy', 'business_ethics', 'clinical_knowledge', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_medicine', 'college_physics', 'computer_security', 'conceptual_physics', 'econometrics', 'electrical_engineering', 'elementary_mathematics', 'formal_logic',"
+                "## Table of Contents\n- [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) -",
+                "- [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions)\n\n## Dataset Description\n- **Repository**: https:\/\/github.com\/hendrycks\/test - **Paper**: https:\/\/arxiv.org\/abs\/2009.03300\n\n### Dataset Summary\n[Measuring Massive Multitask Language Understanding](https:\/\/arxiv.org\/pdf\/2009.03300) by [Dan Hendrycks](https:\/\/people.eecs.berkeley.edu\/~hendrycks\/), [Collin Burns](http:\/\/collinpburns.com), [Steven Basart](https:\/\/stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https:\/\/people.eecs.berkeley.edu\/~dawnsong\/), and [Jacob Steinhardt](https:\/\/www.stat.berkeley.edu\/~jsteinhardt\/) (ICLR 2021).",
+                "art), Andy Zou, Mantas Mazeika, [Dawn Song](https:\/\/people.eecs.berkeley.edu\/~dawnsong\/), and [Jacob Steinhardt](https:\/\/www.stat.berkeley.edu\/~jsteinhardt\/) (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. A complete list of tasks: ['abstract_algebra', 'anatomy', 'astronomy', 'business_ethics', 'clinical_knowledge', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_medicine', 'college_physics', 'computer_security', 'conceptual_physics', 'econometrics', 'electrical_engineering', 'elementary_mathematics', 'formal_logic', 'global_facts', 'high_school_biology',"
             ]
         ],
         "queries": "\/home\/bclavie\/colbertv2.5_en\/data\/msmarco\/queries.tsv",
@@ -50,15 +50,15 @@
         "root": ".ragatouille\/",
         "experiment": "colbert",
         "index_root": null,
-        "name": "2024-09\/10\/22.52.20",
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         "rank": 0,
         "nranks": 1,
         "amp": true,
         "gpus": 0,
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-    "num_partitions": 16384,
-    "num_embeddings_est": 1452896.0137939453,
-    "avg_doclen_est": 143.2130126953125
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+    "num_embeddings_est": 5472928.8331604,
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 }