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--- |
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task_categories: |
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- text-retrieval |
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language: |
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- ja |
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- en |
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tags: |
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- ntcir |
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pretty_name: NTCIR Data Search Task Test Collection |
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viewer: false |
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--- |
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# NTCIR Data Search Task Test Collection |
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## License |
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The contents of the following files are distributed under different licenses. |
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Please refer to `attribution` field in `data_search_*_collection.jsonl.bz2` |
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for details. |
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- `data_search_j_collection.jsonl.bz2` |
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- `data_search_e_collection.jsonl.bz2` |
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- `data_search_j_data.tar.bz2` |
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- `data_search_e_data.tar.bz2` |
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The other files are licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). |
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Please cite **our papers** presented at https://ntcir.datasearch.jp/ , and do not cite our website. |
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## Collections |
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- `data_search_j_collection.jsonl.bz2` (Japanese subtask) |
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- `data_search_e_collection.jsonl.bz2` (English subtask) |
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- Each line of these files is a dataset in the collection, and is in the JSON format |
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- Each dataset may contain multiple data, which are in `data` field |
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- Each data is stored in a file whose name is described in `data_filename` field |
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- `data_search_j_data.tar.bz2` (Japanese subtask) |
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- `data_search_e_data.tar.bz2` (English subtask) |
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- All the data in the datasets are included in these files |
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- These files are NOT included in Google Drive. Please visit https://ntcir.datasearch.jp/data/ to download the data files. |
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--- |
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- `checksums.txt` |
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- MD5 hash values of `bz2` files are included |
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## Training queries for NTCIR-15 Data Search |
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- `data_search_j_train_topics.tsv` (Japanese subtask) |
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- `data_search_e_train_topics.tsv` (English subtask) |
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- Training queries, by which participants are expected to develop systems. |
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- Each line contains an ID and a query string separated by TAB |
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## Test queries for NTCIR-15 Data Search |
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- `data_search_j_test_topics.tsv` (Japanese subtask) |
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- `data_search_e_test_topics.tsv` (English subtask) |
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## Training qrels for NTCIR-15 Data Search |
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Relevance judgments for training queries. |
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- `data_search_j_train_qrels.txt` (Japanese subtask) |
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- `data_search_e_train_qrels.txt` (English subtask) |
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- The same format as that used in the NTCIR WWW tasks |
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- `[QUERY_ID] [DOC_ID] [REL_LEVEL]` |
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- e.g. `DS1-J-0002 000031519435 L2`, meaning that dataset `000031519435` is highly relevant (`L2`) for query `DS1-J-0002`. |
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## Test qrels for NTCIR-15 Data Search |
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Relevance judgments for test queries. |
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Documents from the official runs were judged. |
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- `data_search_j_test_qrels.txt` (Japanese subtask) |
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- `data_search_e_test_qrels.txt` (English subtask) |
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## Extra Qrels for NTCIR-15 Data Search |
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Relevance judgments for test queries. |
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Documents from the extra runs were judged. |
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- `data_search_j_extra_qrels.txt` (Japanese subtask) |
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- `data_search_e_extra_qrels.txt` (English subtask) |
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## All Qrels for NTCIR-15 Data Search |
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These are sets of qrels including the test qrels and extra qrels. |
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- `data_search_j_all_qrels.txt` (Japanese subtask) |
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- `data_search_e_all_qrels.txt` (English subtask) |
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## Training queries for NTCIR-16 Data Search |
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Training and test queries used in NTCIR-15 Data Search, |
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which could be used as training queries in NTCIR-16 Data Search 2. |
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More precisely, `data_search_2_*_train_topics.tsv` is a union of |
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`data_search_*_train_topics.tsv` and `data_search_*_test_topics.tsv`. |
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- `data_search_2_j_train_topics.tsv` (Japanese subtask) |
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- `data_search_2_e_train_topics.tsv` (English subtask) |
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## Training qrels for NTCIR-16 Data Search |
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Qrels for training and test queries in NTCIR-15 Data Search. |
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More precisely, `data_search_2_*_train_qrels.txt` is a union of |
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`data_search_*_train_qrels.txt` and `data_search_*_all_qrels.txt`. |
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- `data_search_2_j_train_qrels.txt` (Japanese subtask) |
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- `data_search_2_e_train_qrels.txt` (English subtask) |
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## Test queries for NTCIR-16 Data Search 2 |
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- `data_search_2_j_test_topics.tsv` (Japanese subtask) |
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- `data_search_2_e_test_topics.tsv` (English subtask) |
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## Test qrels for NTCIR-16 Data Search 2 |
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- `data_search_2_j_test_qrels.txt` (Japanese subtask) |
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- `data_search_2_e_test_qrels.txt` (English subtask) |