Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
Synthetic
long-documents
document-retrieval
information-retrieval
contrastive-learning
graded-relevance
License:
Add val split (2000 queries carved from test, seed=42); drop source_split column
Browse files- README.md +20 -15
- corpus/corpus.parquet +2 -2
- default/test.parquet +2 -2
- default/val.parquet +3 -0
- queries/queries.parquet +2 -2
README.md
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data_files:
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- split: train
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path: default/train.parquet
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- split: test
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path: default/test.parquet
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---
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@@ -33,20 +35,24 @@ from [`devrim/goodwiki_long`](https://huggingface.co/datasets/devrim/goodwiki_lo
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## Layout
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| config | split(s)
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| `corpus` | `corpus`
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| `queries` | `queries`
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| `default` | `train`, `test` | 30,000 /
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The corpus and queries are single shared pools.
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(qrels), so
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vice-versa.
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## Configs
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| `other_article_id` | string | id of the secondary article mixed in (only meaningful for `distractor`) |
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| `primary_topic` | string | source article title + short description |
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| `integration_topic` | string | secondary article title + short description |
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| `source_split` | string | `train` or `test` (from source dataset) |
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### `queries`
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| field | type | notes |
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| `title` | string | |
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| `description` | string | |
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| `categories` | list[string] | |
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| `source_split` | string | `train` or `test` (from source dataset) |
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### `default` (qrels)
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| field | type | notes |
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corpus = load_dataset("devrim/goodwiki_long_synthetic_ir", "corpus", split="corpus")
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queries = load_dataset("devrim/goodwiki_long_synthetic_ir", "queries", split="queries")
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```
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data_files:
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- split: train
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path: default/train.parquet
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- split: val
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path: default/val.parquet
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- split: test
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path: default/test.parquet
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---
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## Layout
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| config | split(s) | rows |
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|-----------|----------------------|---------------------------------|
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| `corpus` | `corpus` | 53,562 |
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| `queries` | `queries` | 17,854 |
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| `default` | `train`, `val`, `test` | 30,000 / 6,000 / 17,562 |
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The corpus and queries are single shared pools. Splits exist only on `default`
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(qrels), so every query — train, val, or test — competes against the *full*
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corpus, and synthetics from other splits serve as hard negatives.
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| qrels split | unique queries | qrels rows |
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|---|---|---|
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| `train` | 10,000 | 30,000 |
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| `val` | 2,000 | 6,000 |
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| `test` | 5,854 | 17,562 |
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Val was carved out of the original test split (random sample, seed=42) before
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upload. A query's split is determined by which qrels split it appears in.
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## Configs
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| `other_article_id` | string | id of the secondary article mixed in (only meaningful for `distractor`) |
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| `primary_topic` | string | source article title + short description |
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| `integration_topic` | string | secondary article title + short description |
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### `queries`
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| field | type | notes |
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| `title` | string | |
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| `description` | string | |
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| `categories` | list[string] | |
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### `default` (qrels)
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| field | type | notes |
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corpus = load_dataset("devrim/goodwiki_long_synthetic_ir", "corpus", split="corpus")
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queries = load_dataset("devrim/goodwiki_long_synthetic_ir", "queries", split="queries")
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val = load_dataset("devrim/goodwiki_long_synthetic_ir", "default", split="val")
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test = load_dataset("devrim/goodwiki_long_synthetic_ir", "default", split="test")
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```
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corpus/corpus.parquet
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oid sha256:633c285a2a1835822436ae754373b59abed2666d9b4d4b848ed212cf6bd7b227
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size 285968412
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default/test.parquet
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size 246876
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default/val.parquet
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oid sha256:53e095dd3ffdc92e3821ea616771840cf39ab51de74a00fbfbd11ecb91fba713
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size 85663
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queries/queries.parquet
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size 327761722
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