Document-level Retrieval Eval
Collection
Document-level retrieval eval datasets built for the Citras per-domain benchmark. • 37 items • Updated
query-id stringlengths 17 17 | corpus-id stringlengths 17 17 | score int64 1 1 |
|---|---|---|
q8f1b80e729a9c039 | d6f6f68a88eb4f643 | 1 |
qf19610301375db1b | dc650268aa93308d9 | 1 |
qcb1f3060c5fe70b7 | d715649c2746303e1 | 1 |
qd12ff7991cebfa04 | d498b66e3d923ba84 | 1 |
qc0e9b34857fb0274 | d6f5c2f0bc68c1ffe | 1 |
q8251eaa817c70525 | dd2babc5ebf592ffd | 1 |
q7af3b12e1a9b64ef | d5863d2358ff3fc8e | 1 |
q1b18789a04f4e497 | dfda794e39c5195fc | 1 |
q93ae5eb5abd1590c | dfc6c9f60fd1e39d8 | 1 |
q2ce7c08252bcd16c | d90986b05e231d6b2 | 1 |
q4a384d1d1e64d850 | d577558463cbb4783 | 1 |
qb4a8464af813d48c | db5c34418fbeeb920 | 1 |
q8f5b9b6ec50fbf72 | d76de9d65f0a67cf4 | 1 |
qd11fead0d98167cb | d9031d9a2ce7110a6 | 1 |
q0fc9aa58f11ac5e8 | d0851da4d1f4658f9 | 1 |
qbd9d992fecdd807e | daea9320e431ef9e3 | 1 |
q83af8ef8768dc3eb | df6aea98a188cc711 | 1 |
q75479842c347035b | df322eec41b1ec0e4 | 1 |
qaa98b12cf6648f3a | d68b5ba7ca0ed7834 | 1 |
qe72c8fa0d2e06678 | d10a80bd596ecaab1 | 1 |
qd82e3e1e3b540945 | dc4e13d3cab43f3c7 | 1 |
q3d069eba255d654f | dd61881bcc919d0ad | 1 |
q7c2675e0a97fc8eb | d445616ba65b8ccd5 | 1 |
q164bfcda223db8f1 | d0caab272c2bb0bc4 | 1 |
qf84ce7f1642d7de5 | d847195bb80f73008 | 1 |
q6d3c6a9376673e8a | dc246746ff9fda31f | 1 |
qd568cf12cb340766 | dcef2023eb1903ec1 | 1 |
qfee69f7e428ef6be | df7b7e4177a560098 | 1 |
q74d472183de1ea2d | d1b670b1432b55a54 | 1 |
q8f0e671e52279fc9 | d9deaa950068a08f3 | 1 |
q1586bb89ea276389 | d25fb8ba0f26e79db | 1 |
qbf681e8cb06888ae | d4fefe3809b5ab515 | 1 |
q2b3cee1dc254d60a | d33c57936a4e588d9 | 1 |
q1a97ab3025261f2c | dc744ce05757b26ed | 1 |
q58e1c3457ff72589 | d45126a4a192468fa | 1 |
qf87627506b066419 | db62082b9b1ed5248 | 1 |
q2b026c9c4a01e658 | d870d39222bcceed5 | 1 |
q75c063f4096c53ce | da55bb62df25f586f | 1 |
q9aca002f1ba8d4d2 | d4a1f2a590de13bb4 | 1 |
q068977d965c0047a | d1b3f49af1378d246 | 1 |
q5f41162c52483daa | dc7be7ba330e3d770 | 1 |
qd9df75dacbc93d1c | dc9a32688ee305c9a | 1 |
q405ce66bcc9aebd3 | dadf828f165e84f90 | 1 |
q38d2b7a6ae45dbbd | d0d3a647ff48cf91b | 1 |
qf66fbbfb1499a4ff | ddc347cde4e3c4ec4 | 1 |
qfc8236963c6f275c | d1294e7d3f933b442 | 1 |
q3588b80c37a91cdd | dac1f7d8491b0bfd1 | 1 |
q32d2c252e266e675 | d6c492169c81d587d | 1 |
qd40d043a2e5e8cd9 | d1b644dc8d31ec818 | 1 |
q9cef23da512d5d94 | db0dfbd05c7345d11 | 1 |
qe25b9ad2a7616ff5 | da03c1107621ffdd1 | 1 |
q98953a71998a2a12 | d753e9bc8a7848697 | 1 |
qc987e6fe46f87e59 | dd4c5b0313f4a95ea | 1 |
q39ea25430de3fc3a | d03fbd5f003cc21d2 | 1 |
q717385b0507356c9 | d37444047c402e8b7 | 1 |
qb1365a557eb37a79 | db333e2d0adced3e5 | 1 |
q9a5b7a11776c3a50 | d4c92b940c83ccbfa | 1 |
qc3ca63c7049d1d0f | d74addff4d72a0d23 | 1 |
q0f11b70ea479dbf7 | dd12a2b90318afb27 | 1 |
q0724d6e9796e0857 | d1166a58a886b8cb0 | 1 |
q8aeafb78780e67fe | db4a1c5ac4a9f6269 | 1 |
qa73abc06af857285 | d2eea83bc16cb256f | 1 |
q5264c6094734216c | de102976ff79e6711 | 1 |
q22be8a3388e9eae3 | d3a415c003292e382 | 1 |
q9c0f7c9742577866 | d8731d2f5a9a9f40d | 1 |
q0dceec105372567d | d9a7c1c01a928d299 | 1 |
q93d58f34c1cbf25f | d2c157013e263073f | 1 |
qa5e25e04af5dd263 | dd546695510bb25bd | 1 |
q583999ab0a85cc46 | d75a5970c56a9e7db | 1 |
qe471e68eb7a692a4 | d15b9447431bd0ae6 | 1 |
q9bc6b31452054af6 | dfc951a05eb36701b | 1 |
q53994d9b1f1e713b | dfac8e8c1088cf5e5 | 1 |
qd1f71c82c01022f0 | d8b3bedf65f4f6aad | 1 |
q26e105d743f86637 | dd16005ba0ecc1883 | 1 |
q0bdbc921ee0c9033 | d7c9f4eb28b8ecde5 | 1 |
q930f49581199e3db | d55dc676572455368 | 1 |
q084015aced4526fd | dee4e3b606ab21e46 | 1 |
qa1ab488740dbfb94 | dd858ca7922770694 | 1 |
q52d93cf462eca881 | d31ee393044066dc4 | 1 |
q98bc3b0f4efb5ddf | d19bbc8f1352f0b25 | 1 |
q05a471a2e564c9eb | df8c5c2d806018f4c | 1 |
q873a2df44be5d3aa | d546c57114d98b126 | 1 |
q0fe991ab05277b18 | d2f89a5e0ba157391 | 1 |
q1b9c113baf3bfa7a | d6a1b4cf57085c97c | 1 |
qc593fa8ad613b155 | dad3afc206b506998 | 1 |
qc0ec744bacd47ed2 | db788b677efa71a96 | 1 |
q07f2dab36149c620 | d473cf20f77d13285 | 1 |
qa03f3f2cd68256df | de72bec962128f2ef | 1 |
qe5b6a2a544bea865 | dce5a10539113dfb4 | 1 |
q583b215bbeb020e5 | d89a1da1ceb28e8b1 | 1 |
q81a22edaaa93fbad | d55e4b305a12a7ba5 | 1 |
qd76702d211c6e460 | db228886324bd78d2 | 1 |
q742e0283c3178a1c | d171a6da755018ddc | 1 |
q9000a2ec97317472 | dab9ab328f0f5313e | 1 |
q6b244a856790e401 | dca5a48e9ab735913 | 1 |
qd236624adcf19403 | d3c8fd066e228d86b | 1 |
q0f2bd221c29b5138 | da40b8b96f29b5691 | 1 |
qa46fb486d8129a69 | debdcc88e04b5c3cd | 1 |
q90ec15fc8cf9ff92 | dad719ea1e3704967 | 1 |
q4c7b914d69c27d6b | d75b6ee58712efa1a | 1 |
Italian news summary-to-article retrieval task. Given an Italian summary, retrieve the relevant full news article from the corpus. Built from the test split.
Reformatted into MTEB retrieval format from ARTeLab/ilpost, an Italian abstractive summarization dataset of Il Post news articles.
License: CC BY 4.0.