Publish Habr IR retrieval release
Browse filesRelease fingerprint: 0a18ee0a5ee2373a1b861f1d08d325052ccaeec94fb69110d90d16c2630d96e2
- README.md +15 -24
- data/qrels/validation.parquet → artifacts/qrels/dev.parquet +0 -0
- {data → artifacts}/qrels/test.parquet +0 -0
- {data → artifacts}/qrels/train.parquet +0 -0
- data/{pairs/train.parquet → corpus-00000-of-00001.parquet} +2 -2
- data/{pairs/validation.parquet → dev-00000-of-00001.parquet} +2 -2
- data/{pairs/test.parquet → test-00000-of-00001.parquet} +2 -2
- data/{corpus-100k/corpus.parquet → train-00000-of-00001.parquet} +2 -2
- data/manifests/release-manifest.json → manifest.json +58 -56
README.md
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- russian
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- synthetic-queries
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configs:
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- config_name:
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data_files:
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- split: train
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path: data/
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- split:
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path: data/
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- split: test
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path: data/
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- split: train
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path: data/corpus-100k/corpus.parquet
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- config_name: qrels
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data_files:
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- split: train
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path: data/qrels/train.parquet
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- split: validation
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path: data/qrels/validation.parquet
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- split: test
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path: data/qrels/test.parquet
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---
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# Habr IR
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and competitor checks. The generation process is synthetic: these examples are not a substitute for fully
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human-authored relevance judgments. The local pilot was manually reviewed before scale generation.
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##
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- `
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- `corpus
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```python
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from datasets import load_dataset
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```
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## Source and limitations
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- russian
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- synthetic-queries
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*.parquet
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- split: dev
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path: data/dev-*.parquet
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- split: test
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path: data/test-*.parquet
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- split: corpus
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path: data/corpus-*.parquet
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---
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# Habr IR
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and competitor checks. The generation process is synthetic: these examples are not a substitute for fully
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human-authored relevance judgments. The local pilot was manually reviewed before scale generation.
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## Splits
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- `train`, `dev`, and `test` contain query-positive rows.
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- `corpus` contains candidate documents as `doc_id, content`.
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- All splits share one schema and one `default` Dataset Viewer configuration.
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- Raw qrels, the audit sheet, and release provenance remain downloadable repository artifacts.
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```python
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from datasets import load_dataset
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dataset = load_dataset("justatom/habr-ir")
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print(dataset["train"][0]["query"])
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print(dataset["corpus"][0]["content"])
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```
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## Source and limitations
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data/qrels/validation.parquet → artifacts/qrels/dev.parquet
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{data → artifacts}/qrels/test.parquet
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{data → artifacts}/qrels/train.parquet
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data/{pairs/train.parquet → corpus-00000-of-00001.parquet}
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size 92678880
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data/{pairs/validation.parquet → dev-00000-of-00001.parquet}
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data/{corpus-100k/corpus.parquet → train-00000-of-00001.parquet}
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data/manifests/release-manifest.json → manifest.json
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"flows": "List(String)",
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"hubs": "List(String)",
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"is_positive": "Boolean",
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"passage_id": "String",
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"section": "String",
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"serialized_passage": "String",
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"source_hash": "String",
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