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"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Before I go any further…..how secure is my user data?"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(15) | [
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] | p | This gives your data two additional levels of isolation. | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(4) | [
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[
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[
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Create custom shards for a single collection"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Create custom shards for a single collection"
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"articles",
"articles/multitenancy"
] | 309 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Create custom shards for a single collection"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(18) | [
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] | p | For additional examples on shards and retrieval, consult Distributed Deployments documentation and Qdrant Client specification. | [
"articles",
"articles/multitenancy"
] | 310 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(5) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
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"articles",
"articles/multitenancy"
] | 312 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(19) | [
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"articles",
"articles/multitenancy"
] | 313 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(19) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
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"articles",
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] | 315 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
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] | p | You can specify the shard_key_selector for each individual vector. | [
"articles",
"articles/multitenancy"
] | 316 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(20) | [
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] | p | In this example, you are upserting data belonging to tenant_1 to the Canadian region. | [
"articles",
"articles/multitenancy"
] | 317 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(21) | [
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"articles",
"articles/multitenancy"
] | 318 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(21) | [
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] | p | In the example below, tenant_1 vectors are kept separate from tenant_2. | [
"articles",
"articles/multitenancy"
] | 319 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(21) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Configure a multitenant setup for users"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
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"articles/multitenancy"
] | 324 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(7) | [
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] | p | To avoid this bottleneck, consider bypassing the construction of a global vector index for the entire collection and building it only for individual groups instead. | [
"articles",
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(24) | [
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"articles",
"articles/multitenancy"
] | 328 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(25) | [
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] | p | To implement this approach, you should: | [
"articles",
"articles/multitenancy"
] | 329 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ol:nth-of-type(1) > li:nth-of-type(1) | [
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"articles",
"articles/multitenancy"
] | 330 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ol:nth-of-type(1) > li:nth-of-type(2) | [
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] | li | Set m in hnsw config to 0. | [
"articles",
"articles/multitenancy"
] | 331 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > ol:nth-of-type(1) > li:nth-of-type(2) | [
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"articles",
"articles/multitenancy"
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Performance considerations"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > blockquote > p | [
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"articles",
"articles/multitenancy"
] | 334 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(8) | [
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"articles",
"articles/multitenancy"
] | 335 |
[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Next steps"
] | /articles/multitenancy/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(26) | [
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
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[
"Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding - Qdrant",
"Next steps"
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[
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[
"Discovery needs context - Qdrant",
"Discovery needs context"
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[
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"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(1) | [
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] | p | Let’s keep this concepts of target and context in mind as we explore the new functionality of Qdrant: Discovery search. | [
"articles",
"articles/discovery-search"
] | 353 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(3) | [
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[
"Discovery needs context - Qdrant",
"Discovery needs context"
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] | p | It can be used to find points that are not necessarily closest to the target, but are still relevant to the search. | [
"articles",
"articles/discovery-search"
] | 356 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(4) | [
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] | p | You can already select which points are available to the search by using payload filters. | [
"articles",
"articles/discovery-search"
] | 357 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(4) | [
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] | p | This by itself is very versatile because it allows us to craft complex filters that show only the points that satisfy their criteria deterministically. | [
"articles",
"articles/discovery-search"
] | 358 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(4) | [
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"Discovery needs context"
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"Discovery needs context - Qdrant",
"Discovery needs context"
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] | p | This is where a vector context can help. | [
"articles",
"articles/discovery-search"
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[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"articles",
"articles/discovery-search"
] | 362 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"articles",
"articles/discovery-search"
] | 363 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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] | p | With a context, we can define hyperplanes within the vector space, which always prefer the positive over the negative vectors. | [
"articles",
"articles/discovery-search"
] | 364 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"articles",
"articles/discovery-search"
] | 365 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(5) | [
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"articles",
"articles/discovery-search"
] | 366 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(7) | [
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[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(7) | [
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"Discovery needs context - Qdrant",
"Discovery needs context"
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[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(7) | [
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[
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[
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"Discovery needs context"
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"articles",
"articles/discovery-search"
] | 375 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(10) | [
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] | p | This is useful when you want to explore the space defined by the context, but don’t have a specific target in mind. | [
"articles",
"articles/discovery-search"
] | 376 |
[
"Discovery needs context - Qdrant",
"Discovery needs context"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(10) | [
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] | p | But hold your horses, we’ll get to that later ↪. | [
"articles",
"articles/discovery-search"
] | 377 |
[
"Discovery needs context - Qdrant"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > h2:nth-of-type(1) | [
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] | p | To understand why this is useful, let’s take a look at a real-world example: using a multimodal encoder like CLIP to search for images, from text and images. | [
"articles",
"articles/discovery-search"
] | 380 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(12) | [
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] | p | CLIP is a neural network that can embed both images and text into the same vector space. | [
"articles",
"articles/discovery-search"
] | 381 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(12) | [
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[
"Discovery needs context - Qdrant",
"Discovery search"
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] | p | For this example, we’ll reuse our food recommendations demo by typing “burger” in the text input: | [
"articles",
"articles/discovery-search"
] | 383 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(14) | [
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] | p | This is basically nearest neighbor search, and while technically we have only images of burgers, one of them is a logo representation of a burger. | [
"articles",
"articles/discovery-search"
] | 384 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(14) | [
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] | p | We’re looking for actual burgers, though. | [
"articles",
"articles/discovery-search"
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[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(14) | [
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] | p | Let’s try to exclude images like that by adding it as a negative example: | [
"articles",
"articles/discovery-search"
] | 386 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(16) | [
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] | p | Wait a second, what has just happened? | [
"articles",
"articles/discovery-search"
] | 387 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(16) | [
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"Discovery search"
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"articles",
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[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(17) | [
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[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(17) | [
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"articles",
"articles/discovery-search"
] | 392 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(19) | [
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] | p | This is where discovery excels, because it allows us to constrain the space considering the same mode (images) while using a target from the other mode (text). | [
"articles",
"articles/discovery-search"
] | 393 |
[
"Discovery needs context - Qdrant",
"Discovery search"
] | /articles/discovery-search/ | html > body > div:nth-of-type(1) > div:nth-of-type(1) > div > section > article > p:nth-of-type(21) | [
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"articles",
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[
"Discovery needs context - Qdrant",
"Context search"
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] | p | Ever been caught in the same recommendations on your favourite music streaming service? | [
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Subsets and Splits