Model: digo-prayudha/test-modernbert-embed-base-miriad
Author: digo-prayudha
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:8095, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, dataset:miriad/miriad-4.4M, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:nomic-ai/modernbert-embed-base, base_model:finetune:nomic-ai/modernbert-embed-base, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: nomic-ai/modernbert-embed-base
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:8095, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
base_model: nomic-ai/modernbert-embed-base
widget: source_sentence: First, states can clearly define which students are excluded from a cohort by transferring, and this definition should eliminate the possibility that a dropout will be counted as a transfer, as happens currently in Florida. Second, states should take steps to ensure the accuracy of a transfer code by requiring a transcript request or other confirmation step at the local level. Third, states should design an audit of the assignment of exit codes on an annual basis to ensure accuracy of the system as a whole, in addition to other editing and audit mechanisms. Fourth, states should group cohorts by birth year rather than the year in which they entered high school. There are several reasons for this last recommendation. Reporting graduation rates by birth cohort will eliminate the bias of differential retention rates. In addition, reporting graduation rates by birth cohort will eliminate any bias from differential placement of students transferring into a state's public high schools. With student-MIGRATION AND GRADUATION, PAGE 33 level databases, there is no significant cost to reporting graduation rates by birth cohort.

 Recently proposed grade-based graduation measures and a new age-based measure are all subject to bias from misestimating student migration, whether international, internal, or inter-sector. For one case, Virginia public schools in 2003, moving from an assumption of zero net migration or net-increment rates to 0.03 rates corresponds to changes in the graduation estimate between 6.6% and 10.7%, depending on the measure. In absolute terms, the various measures ranged from 63.2% to 83.5% given plausible net in-migration or net-increment rates between 0 and 0.03. Even relatively small changes in the assumed in-migration or net-increment rate, between 0.01 and 0.02, resulted in measurable drops of the graduation estimate between 2.2% and 3.6%, depending on the measure chosen. Florida's experience with longitudinal cohort graduation rates shows both the promise of the NGA compact on graduation rates and also the need for appropriate operationalization of definitions and steps to improve the technical adequacy of the information. Florida's rates are inflated because the graduation rate simultaneously eliminates responsibility for students who drop out and then immediately enroll in a GED program-and then credits public schools for the students who eventually earn a GED. Florida's database is also one with no confirmation or auditing of transfer codes.

 Finally, serious consideration needs to focus on the question of whether grade-based or age-based graduation rates are better. Most current school statistics report information by grade or grade cohort, including several recentlyproposed graduation-rate formulas and also the NGA compact and its progenitors (including Florida's official graduation rate). Yet grade-based graduation rates conflate grade level with cohort. Quasi-cohort methods that use ninth-grade enrollment statistics cannot distinguish first-time ninth-graders from repeaters.

 Longitudinal student databases such as Florida's cannot always determine the cohort to which a student transferring into the public schools truly belongs. Age is less vulnerable to such conflation problems, and any state with an accurate student database can report information by birth cohort (for longitudinal cohort rates) or by age (for period rates).

 Given the requirements in No Child Left Behind to calculate a graduation rate for every high school, it appears from the analysis here that there is no broadly-used measure currently able to estimate graduation with degree of precision at a state level, let alone at the school level. While the National Governors Association (2005c) compact on a longitudinal cohort rate is appropriate, at least in theory, in practice states that already have a longitudinal rate show some evidence of inflating graduation rates. The No Child Left Behind requirement is desirable but currently impossible to meet. Meeting the law requires a well-operated student registration system, a system where records of diplomas, enrollments, and transfers are all audited regularly to raise confidence in the accuracy of transfer and migration data.
sentences: What are the risks associated with bone cement leakage during a surgical procedure?
, How can student migration impact graduation rate estimates?
, What are the potential therapeutic effects of ShK-186 despite its short circulating half-life?
, source_sentence: Toxoplasma gondii, the protozoan parasite distributed worldwide, is common among humans and a broad range of warm-blooded animals. 1 The main routes of human infection are by the consumption of raw or undercooked meat containing tissue cysts and ingestion of oocysts via other food products, water, or vegetables. 2 Congenital infection can occur by vertical transmission of rapidly dividing T. gondii tachyzoites during pregnancy. 3 Prenatal infection leads to an increased risk of spontaneous abortion, chorioretinitis, or serious neurodevelopmental disorders such as hydrocephaly and microcephaly. 3 Although T. gondii infection is benign in immunocompetent individuals, it is life threatening in congenital form and in immunocompromised patients due to reactivation of the infection. 4 Therefore, accurate diagnosis of acute maternal toxoplasmosis in immunocompromised patients and pregnant women is critical.

 Mohammadpour et al depends on meat cooking habits, socioeconomic status, and geographical conditions such as temperature and humidity. 6, 7 In Iran, seroprevalence ranged from 14.8% to 66% with typically increasing level according to age, and the overall seroprevalence rate of toxoplasmosis among the Iranian general population was 39.3%. 8 Prolactin (PRL) hormone is secreted by pituitary gland which is located below the cerebral cortex. Low levels of this hormone are secreted in blood of female and male individuals and the secretion is under control by PRL inhibitory factors such as dopamine. 9 Hyperprolactinemia is a situation in which large amounts of PRL exist in blood of men and pregnant women. The role of PRL has been proven in immune system as PRL receptors are located on the surface of B and T lymphocytes and macrophages and production of cytokines such as tumor necrosis factor alpha (TNF-α), interferon γ (IFNγ), and interleukin-12 (IL-12) are induced by this hormone. 10 The inhibitory effects of PRL on proliferation of T. gondii in mononuclear cells of individuals with high levels of PRL have been shown previously. 11 The present study was carried out to assess the possible relation between serum PRL levels and frequency of T. gondii infection in humans.

 Men and women aged 15-58 years with no clinical complications participated in this cross-sectional study. A total of 343 blood samples were collected from individuals who had been referred for PRL measurement in medical diagnostic laboratories in Karaj, Iran, from April to September 2016. Demographic characteristics such as sex, age, marital status, and current pregnancy status were recorded through questionnaires. Woman participants who were pregnant/nursing were excluded from the current study. Then, 3 mL of whole blood samples were collected from each of them; the sera were separated and stored at -20°C until use. After collecting samples, concentration of PRL was measured and the samples were divided into cases with high or low levels of PRL and comparison group with normal levels of PRL.

 ELISA was designed to detect anti-Toxoplasma IgG antibody in blood sera. The cutoff values of ODs were calculated according to Hillyer et al. 12 The OD of each sample was compared with the cutoff and recorded as positive or negative result. The cutoff value with 95% CI was determined to be 0.45 for the detection of anti-T. gondii IgG.

 Tachyzoites of T. gondii, RH strain was maintained in BALB/c mice with serial passages. 13 Tachyzoites that had been inoculated in peritoneal cavity of BALB/c mice were harvested by peritoneal washing with PBS (pH 7.2). The tachyzoites were washed two times with cold PBS, sonicated, and centrifuged at 4°C, 14,000×g for 1 hour. Then, supernatant was collected as soluble antigen, and the protein concentration was determined by Bradford method.

 Microtiter plates were coated with soluble antigens of T. gondii, RH strain. Sera were added in dilution of 1:100 in PBS followed by incubation and washing. Anti-human IgG conjugated with horseradish peroxidase (HRP; Dako Denmark A/S, Glostrup, Denmark) was added after incubation. After washing, chromogenic substrate ortho-phenyline-diamidine (OPD) was added and the reaction was stopped by adding sulfuric acid. The optical density was read and recorded by an automated ELISA reader at 490 nm.
sentences: How does hyperprolactinemia affect the immune response to Toxoplasma gondii infection?
, What is the main cause of anemia in patients with chronic kidney disease?
, How does stimulus efficacy in a pacemaker depend on the charge density and rate of delivery?
, source_sentence: From the post-mortem ultrasound, the ventriculomegaly was well depicted before the MRI was performed, and a corpus callosum was in fact present (white arrows) thought to be related to increased maternal risk factors such as diabetes, body mass index, assisted reproductive techniques and alcohol consumption. These are key aspects of the mother's clinical history which should be available at post-mortem imaging.

 At PMUS the detection of complex cardiac anomalies is difficult due to a combination of lack of circulating blood, intra-cardiac haemostasis and occasionally intra-cardiac gas (likely from feticide [39] ). Some distortion of the normal anatomy at post-mortem examination can be overcome by imaging the foetus in a waterbath [9] .

 The commonest cardiac anomalies at termination of pregnancy are hypoplastic right/left heart syndrome [31] and uni-ventricular heart defects [40] . Other pathologies also feature, although less commonly, and include pulmonary atresia/stenosis ( Fig. 10) , aortic valve atresia/ stenosis, transposition of the great arteries, tetralogy of Fallot, coarctation of the aorta, anomalous pulmonary venous return and septal defects (Fig. 11) .

 Where cardiac imaging is non-diagnostic at PMUS, further cross-sectional imaging with PMMR may be useful, particularly if high-resolution, isovolumetric sequences for multiplanar reconstructions are acquired, given the post-mortem distortion of normal anatomy due to 'slumping'.

 Congenital pulmonary anomalies are the least common structural abnormalities seen at PMUS [25] . Whilst congenital pulmonary malformations (including cystic malformations, bronchopulmonary sequestrations, bronchial atresia, congenital lobar emphysema and bronchogenic cysts) may all be seen in live children, these are rarely the cause for foetal demise or terminations of pregnancy [41, 42] . In our experience, we have not detected any airway or lung malformations on PMUS, although Kang et al. [25] report one autopsy confirmed case of a bronchopulmonary foregut malformation in their series, which was missed on PMUS. It could have been due to the subtlety of the appearances that lead to the miss on PMUS; however, the medical literature is sparse with regards to the ideal post-mortem imaging of congenital pulmonary malformations.

 The commonest finding at post-mortem imaging of the lungs is lung hypoplasia, usually secondary to other Fig. 4 Post-mortem ultrasound images of the brain, in coronal section (top row), with matched T2-weighted post-mortem MRI images (bottom row) in a foetus at 25 weeks gestation. The pregnancy was terminated for suspected brain anomalies. Both imaging modalities were performed 2 days after delivery. The images demonstrate views through the frontal lobes (a, d), at the level of the Foramen of Monroe (b, e) and through the posterior horns of the lateral ventricles (c, f). The ultrasound image clearly depicts an interhemispheric cyst (white arrow) with internal septations (c), and there is absence of the corpus callosum. This is also evident from the MRI image (f), although the cyst is much better viewed on ultrasound intra-abdominal pathologies such as congenital diaphragmatic hernias (Fig. 12) or enlarged polycystic kidneys. Excluding pulmonary infection is not currently possible [9] given that the foetal and early neonatal lungs are normally fluid filled.

 Abnormalities of the abdomen seen at PMUS are most commonly related to the urinary tract or abdominal wall, the latter including pathologies such as gastroschisis, omphalocele ( Fig. 13 ) and congenital diaphragmatic hernia (Fig. 12) [25, 26, 43] . Whilst the presence of an anterior abdominal wall defect does not require ultrasound for diagnosis, the resultant distortion and shift of intra-abdominal organs may have made prenatal imaging difficult and therefore examination of the presence of internal structures is the main criteria for imaging these cases.

 Congenital intra-abdominal foetal tumours are very rare but may occur in the liver (such as haemangiomas, mesenchymal hamartoma and hepatoblastomas), kidneys (mesoblastic nephroma), pelvis (sacrococcygeal teratoma) or adrenal gland (neuroblastoma) [44] . We have previously identified splenic metastases from an aggressive primary fibrosarcoma (Fig. 14) and a suprarenal cystic mass secondary to in utero adrenal haemorrhage (Fig.
sentences: What are some of the factors that diabetic patients must consider in their daily self-care routine?
, What are the most common cardiac anomalies found during termination of pregnancy?
, What are the most common treatment-related adverse events associated with mAbs that target the PD-1/PD-L1 pathway?
, source_sentence: In children without meningeal inflammation, 22 to 30% of a concomitant level in serum is achieved in the CSF of children after treatment with alatrovafloxacin, the intravenous form of trovafloxacin (8) . These levels are in excess of the concentrations of trovafloxacin needed to inhibit S. pneumoniae in vitro. Clinical studies may prove that trovafloxacin is an appropriate alternative agent for pneumococcal meningitis.

 The use of adjunctive dexamethasone in addition to antibiotics for the treatment of pneumococcal meningitis remains somewhat controversial (127) . The number of patients with pneumococcal meningitis enrolled in randomized trials of dexamethasone versus placebo was relatively small, and the timing of dexamethasone administration was not standardized in these studies. In two studies conducted in Turkey and Egypt, dexamethasone was associated with decreased hearing loss (66, 77) . For the largest number of children with pneumococcal meningitis (n ϭ 33) enrolled in a single study in the United States, bilateral hearing loss (3 of 11 children) was no different in the dexamethasone-treated children than in those receiving placebo (2 of 20) (147) . However, this study has been criticized because dexamethasone was not given routinely just before or concomitant with the first dose of parenteral antibiotics. Nevertheless, in this study, dexamethasone was associated with a significant reduction in hearing loss for children with meningitis due to Haemophilus influenzae type b. In addition, inflammatory parameters were diminished to an equivalent degree in experimental pneumococcal meningitis when dexamethasone was administered 30 min before or 60 min after ampicillin treatment (89) . In a retrospective analysis of children with pneumococcal meningitis, Arditi et al. (9) found no benefit with respect to hearing loss for children receiving dexamethasone either before or up to 1 h after the first dose of parenteral antibiotics compared with children never receiving any dexamethasone. A recent meta-analysis of randomized clinical trials of dexamethasone as adjunctive therapy in bacterial meningitis has concluded that "if commenced with or before parenteral antibiotics, (available evidence) suggests benefit for pneumococcal meningitis in childhood" (95) .

 The Committee on Infectious Diseases of the American Academy of Pediatrics recommends that dexamethasone should be considered for the treatment of infants and children with pneumococcal meningitis (5) . There are also uncertainties about the value of dexamethasone use in adults, and even fewer studies have been performed with adults than with children. Some experts recommend dexamethasone for adults with meningitis with a positive Gram stain of CSF (suggestive of a high concentration of bacteria in the CSF) and evidence of increased intracranial pressure (122) .

 For any patient who is not improving as expected or who has a pneumococcal isolate for which the cefotaxime or ceftriaxone MIC is Ն2.0 g/ml, a repeat lumbar puncture 36 to 48 h after initiation of therapy is recommended to document sterility of the CSF. This is particularly crucial for patients who are receiving adjunctive dexamethasone therapy, since they may appear to be responding to antibiotic therapy with a decrease in fever despite the CSF remaining culture positive (44) .

 The management of pneumococcal bacteremia due to antibiotic-resistant isolates is not as well formulated as it is for VOL. 11, 1998 ANTIBIOTIC-RESISTANT S. PNEUMONIAE INFECTIONSmeningitis. Although pneumococcal bacteremia without a source is a relatively common invasive bacterial infection in children, only a few studies focusing on treatment outcome of infections due to isolates intermediate or resistant to penicillin or to cefotaxime and ceftriaxone have been performed. Table  3 compiles those cases from various reports that provide enough detail regarding treatment and outcome. For the majority of reported patients, resistance to penicillin is of the intermediate variety and the outcome of therapy certainly does not predict outcomes for patients whose isolates have greater resistance. Rarely have treatment failures been reported or documented for penicillin-nonsusceptible pneumococcal isolates. Breakthrough pneumococcal bacteremia and meningitis were documented in a normal 18-month-old child after receiving cefotaxime (180 mg/kg/day) for 2 days and subsequently receiving cefuroxime (200 mg/kg/day) for 4 days (27) .
sentences: What is the role of NOD2 in the immune response and the pathogenesis of inflammatory bowel disease (IBD)?, What are the characteristics of biliary diseases in elderly patients?
, What are the potential benefits and risks of using dexamethasone as an adjunctive therapy for pneumococcal meningitis in children?
, source_sentence: Three had personal and family issues to attend to. The peer counsellors presented their reports which were then discussed with the supervisors.

 At the beginning of the training some peer counsellors were hoping to be trained as health workers while others wanted to learn how to improve breastfeeding of their babies. Some suggested that they receive uniforms to identify them in the community. The peer counsellors expressed a strong wish to be given bicycles to ease their mobility around the villages and a monthly allowance equivalent to US$10. Transportation was the most "felt need" identified by the peer counsellors. One peer counsellor said,

 Another peer counsellor said,

 The peer counsellors were each given a bicycle for ease of movement during peer counselling visits.

 Lessons learnt from this study are summarised in Table 3 .

 This study showed that rural Ugandan women with modest formal education can be trained in breastfeeding counselling successfully. On returning to their communities, they were able to provide help and support to breastfeeding mothers to improve their breastfeeding technique and breastfeed exclusively. This is in agreement with what other studies have found [20] [21] [22] .

 The peer counsellors expressed a desire to learn more about breastfeeding at the beginning of the course. This was despite breastfeeding being culturally accepted and widely practiced in the community. The peer counsellors believed that breast milk alone was not enough for a baby up to the age of six months. A similar belief was also perceived at the lactation clinic of Mulago hospital in Uganda [31] . The training curriculum covered all the questions asked by the peer counsellors at the beginning of the course. This gave the peer counsellors the confidence that they would be able to answer questions posed by their peers. Since we did not administer pre-and post-test during training, our assessment of the knowledge they gained from the training is limited.

 We also found that there are cultural and traditional beliefs and practices regarding breastfeeding which may influence the practice of exclusive breastfeeding negatively. Beliefs and practices related to expressing breast milk, use of colostrum together with understanding and managing breast conditions during breastfeeding may not be supportive of exclusive breastfeeding. Other studies have also highlighted traditional and cultural beliefs and practices related to breastfeeding that may negatively influence the practice of exclusive breastfeeding [7] [8] [9] .

 At the beginning of the training for health workers, they were asked what they expected to learn from the training course. A list of their expectations was made and it was interesting to note that most of the expectations of the health workers were similar to those of the peer counsellors at the beginning of training. This suggests that community women could perform as well as, or even better than the health workers in supporting mothers to exclusively breast feed their babies. However, we did not compare the performance of the two groups in this study.

 The peer counsellors were also able to identify common breastfeeding problems in their communities. They appreciated the fact that the training they received had empowered them with skills to help the mothers overcome these problems. The commonly identified breastfeeding problems included "not enough breast milk", sore nipples and mastitis as well as identifying poor positioning of a baby at the breast. This was also reported in a previous hospital based study in Uganda [31] .

 We further observed that follow-up of the peer counsellors in their communities helped to motivate them so that they neither failed nor lost their confidence. Follow up supervision served as a way of addressing the challenges the peer counsellors met in their work and this was appreciated. It provided a mechanism for continued training for them as well sharing their experiences with each other and their supervisors. They were able to consult where they encountered difficulties. This interaction provided an avenue for the supervisors to re-enforce some information and skills which were observed to be deficient while observing the peer counsellors at work. Often the peer counsellors were able to suggest solutions during meetings which boosted their confidence further. This also added to their credibility with the mothers. This is similar The Intervention • Training rural women as peer counsellors for support of exclusive breastfeeding is feasible • Introducing an activity in a community can be a long process requiring multiple visits starting with the district down to the lowest level to ensure community involvement.
sentences: What is the advantage of intra-arterial administration of cisplatin for the treatment of squamous cell carcinoma (SCC) in the head and neck region?
, How did the follow-up supervision of the peer counsellors contribute to their success in supporting breastfeeding mothers?
, How does statin use affect the mortality rates of CDI patients?

pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: ModernBERT Embed base miriad
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.6655
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9045
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9455
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9695
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6655
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.3015
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18910000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09695000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6655
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9045
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9455
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9695
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8327188716379244
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7870591269841258
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7883513963047813
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.668
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.9
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.943
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9675
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.668
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.29999999999999993
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18860000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09675000000000003
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.668
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.9
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.943
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9675
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8309776210344206
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7855371031746019
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7869116138238026
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.6435
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.891
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.933
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.964
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6435
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.29699999999999993
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.18660000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0964
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.6435
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.891
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.933
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.964
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8178337204291636
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7692660714285701
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7707133076297497
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.637
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8665
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.9105
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.946
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.637
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.28883333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1821
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0946
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.637
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8665
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.9105
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.946
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.8028123299777913
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7555621031746026
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.7576366680017745
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.568
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8155
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.865
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9165
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.568
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.2718333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.173
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09165000000000001
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.568
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.8155
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.865
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9165
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7516283698242127
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.6977043650793642
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.700687781526774
name: Cosine Map@100
verified: no
datasets: miriad/miriad-4.4M
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Created: 2025-09-20 20:05:29