dataset_info:
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features:
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dtype: string
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num_examples: 200
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbsClm
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num_examples: 200
download_size: 41517852
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features:
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dataset_size: 4730633789
- config_name: harrier_oss_v1_270m
features:
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dtype: string
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list: string
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num_examples: 200
- name: NanoDAPFAMInTitlAbsClmToTitlAbsClm
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num_examples: 200
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num_examples: 200
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToFullText
num_bytes: 2305400
num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToTitlAbs
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToFullText
num_bytes: 2305400
num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbs
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbsClm
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num_examples: 200
download_size: 41517957
dataset_size: 41497200
- config_name: qrels
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- name: corpus-id
dtype: string
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num_examples: 3989
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- name: NanoDAPFAMOutTitlAbsToFullText
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num_examples: 1259
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download_size: 867924
dataset_size: 2294434
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features:
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dtype: string
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dtype: string
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- name: NanoDAPFAMAllTitlAbsClmToTitlAbs
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num_examples: 200
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num_examples: 200
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbsClm
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num_examples: 200
download_size: 5450175
dataset_size: 17136900
- config_name: reranking_hybrid
features:
- name: query-id
dtype: string
- name: corpus-ids
list: string
splits:
- name: NanoDAPFAMAllTitlAbsClmToFullText
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num_examples: 200
- name: NanoDAPFAMAllTitlAbsClmToTitlAbs
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num_examples: 200
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num_examples: 200
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num_examples: 200
- name: NanoDAPFAMAllTitlAbsToTitlAbs
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num_examples: 200
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num_examples: 200
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num_bytes: 465561
num_examples: 200
- name: NanoDAPFAMInTitlAbsClmToTitlAbs
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num_examples: 200
- name: NanoDAPFAMInTitlAbsClmToTitlAbsClm
num_bytes: 465561
num_examples: 200
- name: NanoDAPFAMInTitlAbsToFullText
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num_examples: 200
- name: NanoDAPFAMInTitlAbsToTitlAbs
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num_examples: 200
- name: NanoDAPFAMInTitlAbsToTitlAbsClm
num_bytes: 465515
num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToFullText
num_bytes: 466895
num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToTitlAbs
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
num_bytes: 467056
num_examples: 200
- name: NanoDAPFAMOutTitlAbsToFullText
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbs
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num_examples: 200
- name: NanoDAPFAMOutTitlAbsToTitlAbsClm
num_bytes: 467148
num_examples: 200
download_size: 8403151
dataset_size: 8389206
configs:
- config_name: corpus
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path:
- corpus/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMAllTitlAbsClmToFullText-00001-of-00002.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: corpus/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path:
- corpus/NanoDAPFAMAllTitlAbsToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMAllTitlAbsToFullText-00001-of-00002.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: corpus/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: corpus/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path:
- corpus/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMInTitlAbsClmToFullText-00001-of-00002.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: corpus/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path:
- corpus/NanoDAPFAMInTitlAbsToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMInTitlAbsToFullText-00001-of-00002.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: corpus/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: corpus/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path:
- corpus/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMOutTitlAbsClmToFullText-00001-of-00002.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: corpus/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path:
- corpus/NanoDAPFAMOutTitlAbsToFullText-00000-of-00002.parquet
- corpus/NanoDAPFAMOutTitlAbsToFullText-00001-of-00002.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: corpus/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: corpus/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
- config_name: queries
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path: queries/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: queries/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path: queries/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: queries/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: queries/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path: queries/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: queries/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: queries/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path: queries/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: queries/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: queries/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path: queries/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: queries/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path: queries/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: queries/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: queries/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
default: true
- config_name: qrels
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path: qrels/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: qrels/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path: qrels/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: qrels/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: qrels/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path: qrels/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: qrels/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path: qrels/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: qrels/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: qrels/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path: qrels/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: qrels/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path: qrels/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: qrels/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: qrels/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
- config_name: bm25
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path: bm25/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: bm25/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path: bm25/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: bm25/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: bm25/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path: bm25/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: bm25/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path: bm25/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: bm25/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: bm25/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path: bm25/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: bm25/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path: bm25/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: bm25/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: bm25/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
- config_name: harrier_oss_v1_270m
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: >-
harrier_oss_v1_270m/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
- config_name: reranking_hybrid
data_files:
- split: NanoDAPFAMAllTitlAbsClmToFullText
path: >-
reranking_hybrid/NanoDAPFAMAllTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbs
path: >-
reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsClmToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMAllTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToFullText
path: reranking_hybrid/NanoDAPFAMAllTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbs
path: reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMAllTitlAbsToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMAllTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToFullText
path: >-
reranking_hybrid/NanoDAPFAMInTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbs
path: >-
reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsClmToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMInTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToFullText
path: reranking_hybrid/NanoDAPFAMInTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbs
path: reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMInTitlAbsToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMInTitlAbsToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToFullText
path: >-
reranking_hybrid/NanoDAPFAMOutTitlAbsClmToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbs
path: >-
reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsClmToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMOutTitlAbsClmToTitlAbsClm-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToFullText
path: reranking_hybrid/NanoDAPFAMOutTitlAbsToFullText-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbs
path: reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbs-00000-of-00001.parquet
- split: NanoDAPFAMOutTitlAbsToTitlAbsClm
path: >-
reranking_hybrid/NanoDAPFAMOutTitlAbsToTitlAbsClm-00000-of-00001.parquet
tags:
- information-retrieval
- retrieval
- nano
- bm25
- dense-retrieval
- reranking
- hakari-bench
NanoDAPFAM
This dataset is a Nano-style retrieval dataset for HAKARI-bench.
NanoDAPFAM contains 18 Nano retrieval splits derived from DAPFAM. Each split keeps up to 200 eligible queries and up to 10000 corpus documents, with exact duplicate query and document text removed where the generator records that policy.
Usage
from datasets import load_dataset
dataset_id = "hakari-bench/NanoDAPFAM"
split = "NanoDAPFAMAllTitlAbsClmToFullText"
queries = load_dataset(dataset_id, "queries", split=split)
corpus = load_dataset(dataset_id, "corpus", split=split)
qrels = load_dataset(dataset_id, "qrels", split=split)
reranking_candidates = load_dataset(dataset_id, "reranking_hybrid", split=split)
Data Layout
This dataset uses six Hugging Face Datasets configs:
corpus: documents with_idandtextqueries: queries with_idandtextqrels: positive relevance labels withquery-idandcorpus-idbm25: BM25 candidate lists withquery-idandcorpus-idsharrier_oss_v1_270m: dense candidate lists frommicrosoft/harrier-oss-v1-270mreranking_hybrid: RRF candidate lists built frombm25andharrier_oss_v1_270m
Each config has the same Nano split names.
Candidate Construction
bm25: local BM25 top-500 with automatic language-aware tokenization. The resolved tokenizer is shown in the Candidate Quality table, for examplewordseg@ja.harrier_oss_v1_270m: dense top-500 frommicrosoft/harrier-oss-v1-270m. In tables this is shown asDense; Dense meansmicrosoft/harrier-oss-v1-270mwith theweb_search_queryprompt for queries and cosine similarity over normalized embeddings.reranking_hybrid: RRF overbm25andharrier_oss_v1_270musingrrf_k=100, keeping the RRF top-100.
Safeguard means rank 101 is appended only when RRF top-100 contains no qrels-positive document.
Split Statistics
Length statistics are character counts computed with len(str(text)).
| Nano split | Queries | Corpus | Qrels | Query chars avg | Query chars p50 | Query chars p75 | Doc chars avg | Doc chars p50 | Doc chars p75 |
|---|---|---|---|---|---|---|---|---|---|
| NanoDAPFAMAllTitlAbsClmToFullText | 200 | 10000 | 3989 | 8339.5 | 6741.0 | 9976.2 | 71050.6 | 46456.5 | 79059.8 |
| NanoDAPFAMAllTitlAbsClmToTitlAbs | 200 | 10000 | 3981 | 8339.5 | 6741.0 | 9976.2 | 777.9 | 766.0 | 958.2 |
| NanoDAPFAMAllTitlAbsClmToTitlAbsClm | 200 | 10000 | 3989 | 8339.5 | 6741.0 | 9976.2 | 7229.1 | 6155.5 | 8658.5 |
| NanoDAPFAMAllTitlAbsToFullText | 200 | 10000 | 3989 | 776.0 | 774.0 | 934.5 | 71113.4 | 46505.5 | 79214.5 |
| NanoDAPFAMAllTitlAbsToTitlAbs | 200 | 10000 | 3982 | 776.0 | 774.0 | 934.5 | 778.0 | 766.0 | 958.2 |
| NanoDAPFAMAllTitlAbsToTitlAbsClm | 200 | 10000 | 3989 | 776.0 | 774.0 | 934.5 | 7230.6 | 6157.5 | 8658.5 |
| NanoDAPFAMInTitlAbsClmToFullText | 200 | 10000 | 3069 | 8405.5 | 6835.5 | 9976.2 | 68906.0 | 46012.0 | 77773.5 |
| NanoDAPFAMInTitlAbsClmToTitlAbs | 200 | 10000 | 3062 | 8405.5 | 6835.5 | 9976.2 | 777.9 | 766.0 | 960.0 |
| NanoDAPFAMInTitlAbsClmToTitlAbsClm | 200 | 10000 | 3069 | 8405.5 | 6835.5 | 9976.2 | 7225.2 | 6141.0 | 8658.5 |
| NanoDAPFAMInTitlAbsToFullText | 200 | 10000 | 3072 | 771.3 | 771.5 | 934.5 | 68924.3 | 46024.5 | 77773.5 |
| NanoDAPFAMInTitlAbsToTitlAbs | 200 | 10000 | 3066 | 771.3 | 771.5 | 934.5 | 777.7 | 766.0 | 959.2 |
| NanoDAPFAMInTitlAbsToTitlAbsClm | 200 | 10000 | 3072 | 771.3 | 771.5 | 934.5 | 7226.4 | 6144.5 | 8658.0 |
| NanoDAPFAMOutTitlAbsClmToFullText | 200 | 10000 | 1259 | 9315.7 | 7026.0 | 10653.0 | 71902.3 | 46121.0 | 79984.2 |
| NanoDAPFAMOutTitlAbsClmToTitlAbs | 200 | 10000 | 1257 | 9315.7 | 7026.0 | 10653.0 | 777.9 | 769.0 | 962.0 |
| NanoDAPFAMOutTitlAbsClmToTitlAbsClm | 200 | 10000 | 1259 | 9315.7 | 7026.0 | 10653.0 | 7257.2 | 6126.5 | 8623.8 |
| NanoDAPFAMOutTitlAbsToFullText | 200 | 10000 | 1259 | 786.6 | 780.0 | 957.5 | 71902.3 | 46121.0 | 79984.2 |
| NanoDAPFAMOutTitlAbsToTitlAbs | 200 | 10000 | 1257 | 786.6 | 780.0 | 957.5 | 777.9 | 769.0 | 962.0 |
| NanoDAPFAMOutTitlAbsToTitlAbsClm | 200 | 10000 | 1259 | 786.6 | 780.0 | 957.5 | 7257.2 | 6126.5 | 8623.8 |
Candidate Quality
nDCG@10 and Recall@100 are computed from the included candidate rankings against the included qrels, then reported as 0-100 scores such as 52.45. Recall@100 uses only the top 100 candidates; an optional rank-101 safeguard positive is not counted in Recall@100.
Dense means microsoft/harrier-oss-v1-270m with the web_search_query prompt and cosine similarity.
| Nano split | BM25 tokenizer | BM25 nDCG@10 | Dense nDCG@10 | Hybrid nDCG@10 | BM25 Recall@100 | Dense Recall@100 | Hybrid Recall@100 | Hybrid candidates | Safeguard positives |
|---|---|---|---|---|---|---|---|---|---|
| Mean | - | 24.30 | 30.73 | 29.81 | 39.01 | 50.85 | 50.81 | - | 522 |
| NanoDAPFAMAllTitlAbsClmToFullText | english_porter_stop | 33.65 | 43.52 | 42.15 | 46.14 | 58.02 | 58.39 | 100-101 | 6 |
| NanoDAPFAMAllTitlAbsClmToTitlAbs | english_porter_stop | 28.64 | 39.97 | 37.67 | 35.98 | 52.80 | 50.57 | 100-101 | 8 |
| NanoDAPFAMAllTitlAbsClmToTitlAbsClm | english_porter_stop | 33.60 | 41.56 | 39.89 | 44.24 | 55.39 | 54.72 | 100-101 | 7 |
| NanoDAPFAMAllTitlAbsToFullText | english_porter_stop | 34.89 | 41.49 | 41.75 | 46.74 | 56.22 | 57.09 | 100-101 | 4 |
| NanoDAPFAMAllTitlAbsToTitlAbs | english_porter_stop | 32.81 | 37.86 | 37.90 | 39.22 | 50.69 | 50.31 | 100-101 | 8 |
| NanoDAPFAMAllTitlAbsToTitlAbsClm | english_porter_stop | 35.10 | 40.56 | 40.88 | 43.07 | 53.79 | 53.77 | 100-101 | 6 |
| NanoDAPFAMInTitlAbsClmToFullText | english_porter_stop | 35.05 | 44.84 | 43.75 | 56.66 | 70.85 | 70.58 | 100-101 | 7 |
| NanoDAPFAMInTitlAbsClmToTitlAbs | english_porter_stop | 29.70 | 41.35 | 38.05 | 42.87 | 64.36 | 61.04 | 100-101 | 10 |
| NanoDAPFAMInTitlAbsClmToTitlAbsClm | english_porter_stop | 34.73 | 43.25 | 41.57 | 53.62 | 67.64 | 66.06 | 100-101 | 7 |
| NanoDAPFAMInTitlAbsToFullText | english_porter_stop | 34.90 | 42.55 | 42.28 | 57.79 | 68.35 | 69.05 | 100-101 | 5 |
| NanoDAPFAMInTitlAbsToTitlAbs | english_porter_stop | 33.86 | 39.23 | 39.42 | 47.15 | 61.77 | 60.92 | 100-101 | 9 |
| NanoDAPFAMInTitlAbsToTitlAbsClm | english_porter_stop | 35.93 | 41.25 | 42.20 | 52.99 | 65.55 | 65.21 | 100-101 | 5 |
| NanoDAPFAMOutTitlAbsClmToFullText | english_porter_stop | 4.61 | 10.10 | 8.69 | 27.55 | 35.19 | 38.30 | 100-101 | 65 |
| NanoDAPFAMOutTitlAbsClmToTitlAbs | english_porter_stop | 4.39 | 8.72 | 7.14 | 16.84 | 28.40 | 29.56 | 100-101 | 77 |
| NanoDAPFAMOutTitlAbsClmToTitlAbsClm | english_porter_stop | 6.40 | 9.52 | 8.11 | 23.21 | 34.39 | 33.16 | 100-101 | 72 |
| NanoDAPFAMOutTitlAbsToFullText | english_porter_stop | 6.38 | 9.52 | 8.58 | 25.34 | 32.96 | 35.30 | 100-101 | 74 |
| NanoDAPFAMOutTitlAbsToTitlAbs | english_porter_stop | 5.83 | 8.72 | 7.62 | 20.24 | 27.29 | 30.05 | 100-101 | 76 |
| NanoDAPFAMOutTitlAbsToTitlAbsClm | english_porter_stop | 6.99 | 9.09 | 9.01 | 22.55 | 31.68 | 30.59 | 100-101 | 76 |
Hybrid Safeguard Summary
- Safeguard positives: 522
- Rows limited by corpus size: 0
- Metadata file:
reranking_hybrid_metadata.json
Source Links
- Source benchmark:
DAPFAM - Source benchmark repository: https://github.com/embeddings-benchmark/mteb
datalyes/DAPFAM_patent: https://huggingface.co/datasets/datalyes/DAPFAM_patent
License
NanoDAPFAM is a derived dataset. Users must comply with the licenses, terms, and attribution requirements of the upstream datasets and benchmarks.