[Deprecation] Deprecate sonet dataset as scheduled (#60129)

Signed-off-by: yewentao256 <zhyanwentao@126.com>
2026-10-06 08:15:12 -04:00
parent 3313825983
commit 3e182185aa
18 changed files with 22 additions and 1432 deletions
@@ -1,518 +0,0 @@
 FROM fairest creatures we desire increase,
 That thereby beauty's rose might never die,
 But as the riper should by time decease,
 His tender heir might bear his memory:
 But thou, contracted to thine own bright eyes,
 Feed'st thy light'st flame with self-substantial fuel,
 Making a famine where abundance lies,
 Thyself thy foe, to thy sweet self too cruel.
 Thou that art now the world's fresh ornament
 And only herald to the gaudy spring,
 Within thine own bud buriest thy content
 And, tender churl, makest waste in niggarding.
 Pity the world, or else this glutton be,
 To eat the world's due, by the grave and thee.
 When forty winters shall beseige thy brow,
 And dig deep trenches in thy beauty's field,
 Thy youth's proud livery, so gazed on now,
 Will be a tatter'd weed, of small worth held:
 Then being ask'd where all thy beauty lies,
 Where all the treasure of thy lusty days,
 To say, within thine own deep-sunken eyes,
 Were an all-eating shame and thriftless praise.
 How much more praise deserved thy beauty's use,
 If thou couldst answer 'This fair child of mine
 Shall sum my count and make my old excuse,'
 Proving his beauty by succession thine!
 This were to be new made when thou art old,
 And see thy blood warm when thou feel'st it cold.
 Look in thy glass, and tell the face thou viewest
 Now is the time that face should form another;
 Whose fresh repair if now thou not renewest,
 Thou dost beguile the world, unbless some mother.
 For where is she so fair whose unear'd womb
 Disdains the tillage of thy husbandry?
 Or who is he so fond will be the tomb
 Of his self-love, to stop posterity?
 Thou art thy mother's glass, and she in thee
 Calls back the lovely April of her prime:
 So thou through windows of thine age shall see
 Despite of wrinkles this thy golden time.
 But if thou live, remember'd not to be,
 Die single, and thine image dies with thee.
 Unthrifty loveliness, why dost thou spend
 Upon thyself thy beauty's legacy?
 Nature's bequest gives nothing but doth lend,
 And being frank she lends to those are free.
 Then, beauteous niggard, why dost thou abuse
 The bounteous largess given thee to give?
 Profitless usurer, why dost thou use
 So great a sum of sums, yet canst not live?
 For having traffic with thyself alone,
 Thou of thyself thy sweet self dost deceive.
 Then how, when nature calls thee to be gone,
 What acceptable audit canst thou leave?
 Thy unused beauty must be tomb'd with thee,
 Which, used, lives th' executor to be.
 Those hours, that with gentle work did frame
 The lovely gaze where every eye doth dwell,
 Will play the tyrants to the very same
 And that unfair which fairly doth excel:
 For never-resting time leads summer on
 To hideous winter and confounds him there;
 Sap cheque'd with frost and lusty leaves quite gone,
 Beauty o'ersnow'd and bareness every where:
 Then, were not summer's distillation left,
 A liquid prisoner pent in walls of glass,
 Beauty's effect with beauty were bereft,
 Nor it nor no remembrance what it was:
 But flowers distill'd though they with winter meet,
 Leese but their show; their substance still lives sweet.
 Then let not winter's ragged hand deface
 In thee thy summer, ere thou be distill'd:
 Make sweet some vial; treasure thou some place
 With beauty's treasure, ere it be self-kill'd.
 That use is not forbidden usury,
 Which happies those that pay the willing loan;
 That's for thyself to breed another thee,
 Or ten times happier, be it ten for one;
 Ten times thyself were happier than thou art,
 If ten of thine ten times refigured thee:
 Then what could death do, if thou shouldst depart,
 Leaving thee living in posterity?
 Be not self-will'd, for thou art much too fair
 To be death's conquest and make worms thine heir.
 Lo! in the orient when the gracious light
 Lifts up his burning head, each under eye
 Doth homage to his new-appearing sight,
 Serving with looks his sacred majesty;
 And having climb'd the steep-up heavenly hill,
 Resembling strong youth in his middle age,
 yet mortal looks adore his beauty still,
 Attending on his golden pilgrimage;
 But when from highmost pitch, with weary car,
 Like feeble age, he reeleth from the day,
 The eyes, 'fore duteous, now converted are
 From his low tract and look another way:
 So thou, thyself out-going in thy noon,
 Unlook'd on diest, unless thou get a son.
 Music to hear, why hear'st thou music sadly?
 Sweets with sweets war not, joy delights in joy.
 Why lovest thou that which thou receivest not gladly,
 Or else receivest with pleasure thine annoy?
 If the true concord of well-tuned sounds,
 By unions married, do offend thine ear,
 They do but sweetly chide thee, who confounds
 In singleness the parts that thou shouldst bear.
 Mark how one string, sweet husband to another,
 Strikes each in each by mutual ordering,
 Resembling sire and child and happy mother
 Who all in one, one pleasing note do sing:
 Whose speechless song, being many, seeming one,
 Sings this to thee: 'thou single wilt prove none.'
 Is it for fear to wet a widow's eye
 That thou consumest thyself in single life?
 Ah! if thou issueless shalt hap to die.
 The world will wail thee, like a makeless wife;
 The world will be thy widow and still weep
 That thou no form of thee hast left behind,
 When every private widow well may keep
 By children's eyes her husband's shape in mind.
 Look, what an unthrift in the world doth spend
 Shifts but his place, for still the world enjoys it;
 But beauty's waste hath in the world an end,
 And kept unused, the user so destroys it.
 No love toward others in that bosom sits
 That on himself such murderous shame commits.
 For shame! deny that thou bear'st love to any,
 Who for thyself art so unprovident.
 Grant, if thou wilt, thou art beloved of many,
 But that thou none lovest is most evident;
 For thou art so possess'd with murderous hate
 That 'gainst thyself thou stick'st not to conspire.
 Seeking that beauteous roof to ruinate
 Which to repair should be thy chief desire.
 O, change thy thought, that I may change my mind!
 Shall hate be fairer lodged than gentle love?
 Be, as thy presence is, gracious and kind,
 Or to thyself at least kind-hearted prove:
 Make thee another self, for love of me,
 That beauty still may live in thine or thee.
 As fast as thou shalt wane, so fast thou growest
 In one of thine, from that which thou departest;
 And that fresh blood which youngly thou bestowest
 Thou mayst call thine when thou from youth convertest.
 Herein lives wisdom, beauty and increase:
 Without this, folly, age and cold decay:
 If all were minded so, the times should cease
 And threescore year would make the world away.
 Let those whom Nature hath not made for store,
 Harsh featureless and rude, barrenly perish:
 Look, whom she best endow'd she gave the more;
 Which bounteous gift thou shouldst in bounty cherish:
 She carved thee for her seal, and meant thereby
 Thou shouldst print more, not let that copy die.
 When I do count the clock that tells the time,
 And see the brave day sunk in hideous night;
 When I behold the violet past prime,
 And sable curls all silver'd o'er with white;
 When lofty trees I see barren of leaves
 Which erst from heat did canopy the herd,
 And summer's green all girded up in sheaves
 Borne on the bier with white and bristly beard,
 Then of thy beauty do I question make,
 That thou among the wastes of time must go,
 Since sweets and beauties do themselves forsake
 And die as fast as they see others grow;
 And nothing 'gainst Time's scythe can make defence
 Save breed, to brave him when he takes thee hence.
 O, that you were yourself! but, love, you are
 No longer yours than you yourself here live:
 Against this coming end you should prepare,
 And your sweet semblance to some other give.
 So should that beauty which you hold in lease
 Find no determination: then you were
 Yourself again after yourself's decease,
 When your sweet issue your sweet form should bear.
 Who lets so fair a house fall to decay,
 Which husbandry in honour might uphold
 Against the stormy gusts of winter's day
 And barren rage of death's eternal cold?
 O, none but unthrifts! Dear my love, you know
 You had a father: let your son say so.
 Not from the stars do I my judgment pluck;
 And yet methinks I have astronomy,
 But not to tell of good or evil luck,
 Of plagues, of dearths, or seasons' quality;
 Nor can I fortune to brief minutes tell,
 Pointing to each his thunder, rain and wind,
 Or say with princes if it shall go well,
 By oft predict that I in heaven find:
 But from thine eyes my knowledge I derive,
 And, constant stars, in them I read such art
 As truth and beauty shall together thrive,
 If from thyself to store thou wouldst convert;
 Or else of thee this I prognosticate:
 Thy end is truth's and beauty's doom and date.
 When I consider every thing that grows
 Holds in perfection but a little moment,
 That this huge stage presenteth nought but shows
 Whereon the stars in secret influence comment;
 When I perceive that men as plants increase,
 Cheered and cheque'd even by the self-same sky,
 Vaunt in their youthful sap, at height decrease,
 And wear their brave state out of memory;
 Then the conceit of this inconstant stay
 Sets you most rich in youth before my sight,
 Where wasteful Time debateth with Decay,
 To change your day of youth to sullied night;
 And all in war with Time for love of you,
 As he takes from you, I engraft you new.
 But wherefore do not you a mightier way
 Make war upon this bloody tyrant, Time?
 And fortify yourself in your decay
 With means more blessed than my barren rhyme?
 Now stand you on the top of happy hours,
 And many maiden gardens yet unset
 With virtuous wish would bear your living flowers,
 Much liker than your painted counterfeit:
 So should the lines of life that life repair,
 Which this, Time's pencil, or my pupil pen,
 Neither in inward worth nor outward fair,
 Can make you live yourself in eyes of men.
 To give away yourself keeps yourself still,
 And you must live, drawn by your own sweet skill.
 Who will believe my verse in time to come,
 If it were fill'd with your most high deserts?
 Though yet, heaven knows, it is but as a tomb
 Which hides your life and shows not half your parts.
 If I could write the beauty of your eyes
 And in fresh numbers number all your graces,
 The age to come would say 'This poet lies:
 Such heavenly touches ne'er touch'd earthly faces.'
 So should my papers yellow'd with their age
 Be scorn'd like old men of less truth than tongue,
 And your true rights be term'd a poet's rage
 And stretched metre of an antique song:
 But were some child of yours alive that time,
 You should live twice; in it and in my rhyme.
 Shall I compare thee to a summer's day?
 Thou art more lovely and more temperate:
 Rough winds do shake the darling buds of May,
 And summer's lease hath all too short a date:
 Sometime too hot the eye of heaven shines,
 And often is his gold complexion dimm'd;
 And every fair from fair sometime declines,
 By chance or nature's changing course untrimm'd;
 But thy eternal summer shall not fade
 Nor lose possession of that fair thou owest;
 Nor shall Death brag thou wander'st in his shade,
 When in eternal lines to time thou growest:
 So long as men can breathe or eyes can see,
 So long lives this and this gives life to thee.
 Devouring Time, blunt thou the lion's paws,
 And make the earth devour her own sweet brood;
 Pluck the keen teeth from the fierce tiger's jaws,
 And burn the long-lived phoenix in her blood;
 Make glad and sorry seasons as thou fleets,
 And do whate'er thou wilt, swift-footed Time,
 To the wide world and all her fading sweets;
 But I forbid thee one most heinous crime:
 O, carve not with thy hours my love's fair brow,
 Nor draw no lines there with thine antique pen;
 Him in thy course untainted do allow
 For beauty's pattern to succeeding men.
 Yet, do thy worst, old Time: despite thy wrong,
 My love shall in my verse ever live young.
 A woman's face with Nature's own hand painted
 Hast thou, the master-mistress of my passion;
 A woman's gentle heart, but not acquainted
 With shifting change, as is false women's fashion;
 An eye more bright than theirs, less false in rolling,
 Gilding the object whereupon it gazeth;
 A man in hue, all 'hues' in his controlling,
 Much steals men's eyes and women's souls amazeth.
 And for a woman wert thou first created;
 Till Nature, as she wrought thee, fell a-doting,
 And by addition me of thee defeated,
 By adding one thing to my purpose nothing.
 But since she prick'd thee out for women's pleasure,
 Mine be thy love and thy love's use their treasure.
 So is it not with me as with that Muse
 Stirr'd by a painted beauty to his verse,
 Who heaven itself for ornament doth use
 And every fair with his fair doth rehearse
 Making a couplement of proud compare,
 With sun and moon, with earth and sea's rich gems,
 With April's first-born flowers, and all things rare
 That heaven's air in this huge rondure hems.
 O' let me, true in love, but truly write,
 And then believe me, my love is as fair
 As any mother's child, though not so bright
 As those gold candles fix'd in heaven's air:
 Let them say more than like of hearsay well;
 I will not praise that purpose not to sell.
 My glass shall not persuade me I am old,
 So long as youth and thou are of one date;
 But when in thee time's furrows I behold,
 Then look I death my days should expiate.
 For all that beauty that doth cover thee
 Is but the seemly raiment of my heart,
 Which in thy breast doth live, as thine in me:
 How can I then be elder than thou art?
 O, therefore, love, be of thyself so wary
 As I, not for myself, but for thee will;
 Bearing thy heart, which I will keep so chary
 As tender nurse her babe from faring ill.
 Presume not on thy heart when mine is slain;
 Thou gavest me thine, not to give back again.
 As an unperfect actor on the stage
 Who with his fear is put besides his part,
 Or some fierce thing replete with too much rage,
 Whose strength's abundance weakens his own heart.
 So I, for fear of trust, forget to say
 The perfect ceremony of love's rite,
 And in mine own love's strength seem to decay,
 O'ercharged with burden of mine own love's might.
 O, let my books be then the eloquence
 And dumb presagers of my speaking breast,
 Who plead for love and look for recompense
 More than that tongue that more hath more express'd.
 O, learn to read what silent love hath writ:
 To hear with eyes belongs to love's fine wit.
 Mine eye hath play'd the painter and hath stell'd
 Thy beauty's form in table of my heart;
 My body is the frame wherein 'tis held,
 And perspective it is the painter's art.
 For through the painter must you see his skill,
 To find where your true image pictured lies;
 Which in my bosom's shop is hanging still,
 That hath his windows glazed with thine eyes.
 Now see what good turns eyes for eyes have done:
 Mine eyes have drawn thy shape, and thine for me
 Are windows to my breast, where-through the sun
 Delights to peep, to gaze therein on thee;
 Yet eyes this cunning want to grace their art;
 They draw but what they see, know not the heart.
 Let those who are in favour with their stars
 Of public honour and proud titles boast,
 Whilst I, whom fortune of such triumph bars,
 Unlook'd for joy in that I honour most.
 Great princes' favourites their fair leaves spread
 But as the marigold at the sun's eye,
 And in themselves their pride lies buried,
 For at a frown they in their glory die.
 The painful warrior famoused for fight,
 After a thousand victories once foil'd,
 Is from the book of honour razed quite,
 And all the rest forgot for which he toil'd:
 Then happy I, that love and am beloved
 Where I may not remove nor be removed.
 Lord of my love, to whom in vassalage
 Thy merit hath my duty strongly knit,
 To thee I send this written embassage,
 To witness duty, not to show my wit:
 Duty so great, which wit so poor as mine
 May make seem bare, in wanting words to show it,
 But that I hope some good conceit of thine
 In thy soul's thought, all naked, will bestow it;
 Till whatsoever star that guides my moving
 Points on me graciously with fair aspect
 And puts apparel on my tatter'd loving,
 To show me worthy of thy sweet respect:
 Then may I dare to boast how I do love thee;
 Till then not show my head where thou mayst prove me.
 Weary with toil, I haste me to my bed,
 The dear repose for limbs with travel tired;
 But then begins a journey in my head,
 To work my mind, when body's work's expired:
 For then my thoughts, from far where I abide,
 Intend a zealous pilgrimage to thee,
 And keep my drooping eyelids open wide,
 Looking on darkness which the blind do see
 Save that my soul's imaginary sight
 Presents thy shadow to my sightless view,
 Which, like a jewel hung in ghastly night,
 Makes black night beauteous and her old face new.
 Lo! thus, by day my limbs, by night my mind,
 For thee and for myself no quiet find.
 How can I then return in happy plight,
 That am debarr'd the benefit of rest?
 When day's oppression is not eased by night,
 But day by night, and night by day, oppress'd?
 And each, though enemies to either's reign,
 Do in consent shake hands to torture me;
 The one by toil, the other to complain
 How far I toil, still farther off from thee.
 I tell the day, to please them thou art bright
 And dost him grace when clouds do blot the heaven:
 So flatter I the swart-complexion'd night,
 When sparkling stars twire not thou gild'st the even.
 But day doth daily draw my sorrows longer
 And night doth nightly make grief's strength seem stronger.
 When, in disgrace with fortune and men's eyes,
 I all alone beweep my outcast state
 And trouble deal heaven with my bootless cries
 And look upon myself and curse my fate,
 Wishing me like to one more rich in hope,
 Featured like him, like him with friends possess'd,
 Desiring this man's art and that man's scope,
 With what I most enjoy contented least;
 Yet in these thoughts myself almost despising,
 Haply I think on thee, and then my state,
 Like to the lark at break of day arising
 From sullen earth, sings hymns at heaven's gate;
 For thy sweet love remember'd such wealth brings
 That then I scorn to change my state with kings.
 When to the sessions of sweet silent thought
 I summon up remembrance of things past,
 I sigh the lack of many a thing I sought,
 And with old woes new wail my dear time's waste:
 Then can I drown an eye, unused to flow,
 For precious friends hid in death's dateless night,
 And weep afresh love's long since cancell'd woe,
 And moan the expense of many a vanish'd sight:
 Then can I grieve at grievances foregone,
 And heavily from woe to woe tell o'er
 The sad account of fore-bemoaned moan,
 Which I new pay as if not paid before.
 But if the while I think on thee, dear friend,
 All losses are restored and sorrows end.
 Thy bosom is endeared with all hearts,
 Which I by lacking have supposed dead,
 And there reigns love and all love's loving parts,
 And all those friends which I thought buried.
 How many a holy and obsequious tear
 Hath dear religious love stol'n from mine eye
 As interest of the dead, which now appear
 But things removed that hidden in thee lie!
 Thou art the grave where buried love doth live,
 Hung with the trophies of my lovers gone,
 Who all their parts of me to thee did give;
 That due of many now is thine alone:
 Their images I loved I view in thee,
 And thou, all they, hast all the all of me.
 If thou survive my well-contented day,
 When that churl Death my bones with dust shall cover,
 And shalt by fortune once more re-survey
 These poor rude lines of thy deceased lover,
 Compare them with the bettering of the time,
 And though they be outstripp'd by every pen,
 Reserve them for my love, not for their rhyme,
 Exceeded by the height of happier men.
 O, then vouchsafe me but this loving thought:
 'Had my friend's Muse grown with this growing age,
 A dearer birth than this his love had brought,
 To march in ranks of better equipage:
 But since he died and poets better prove,
 Theirs for their style I'll read, his for his love.'
 Full many a glorious morning have I seen
 Flatter the mountain-tops with sovereign eye,
 Kissing with golden face the meadows green,
 Gilding pale streams with heavenly alchemy;
 Anon permit the basest clouds to ride
 With ugly rack on his celestial face,
 And from the forlorn world his visage hide,
 Stealing unseen to west with this disgrace:
 Even so my sun one early morn did shine
 With all triumphant splendor on my brow;
 But out, alack! he was but one hour mine;
 The region cloud hath mask'd him from me now.
 Yet him for this my love no whit disdaineth;
 Suns of the world may stain when heaven's sun staineth.
 Why didst thou promise such a beauteous day,
 And make me travel forth without my cloak,
 To let base clouds o'ertake me in my way,
 Hiding thy bravery in their rotten smoke?
 'Tis not enough that through the cloud thou break,
 To dry the rain on my storm-beaten face,
 For no man well of such a salve can speak
 That heals the wound and cures not the disgrace:
 Nor can thy shame give physic to my grief;
 Though thou repent, yet I have still the loss:
 The offender's sorrow lends but weak relief
 To him that bears the strong offence's cross.
 Ah! but those tears are pearl which thy love sheds,
 And they are rich and ransom all ill deeds.
 No more be grieved at that which thou hast done:
 Roses have thorns, and silver fountains mud;
 Clouds and eclipses stain both moon and sun,
 And loathsome canker lives in sweetest bud.
 All men make faults, and even I in this,
 Authorizing thy trespass with compare,
 Myself corrupting, salving thy amiss,
 Excusing thy sins more than thy sins are;
 For to thy sensual fault I bring in sense--
 Thy adverse party is thy advocate--
 And 'gainst myself a lawful plea commence:
 Such civil war is in my love and hate
 That I an accessary needs must be
 To that sweet thief which sourly robs from me.
 Let me confess that we two must be twain,
 Although our undivided loves are one:
 So shall those blots that do with me remain
 Without thy help by me be borne alone.
 In our two loves there is but one respect,
 Though in our lives a separable spite,
 Which though it alter not love's sole effect,
 Yet doth it steal sweet hours from love's delight.
 I may not evermore acknowledge thee,
 Lest my bewailed guilt should do thee shame,
 Nor thou with public kindness honour me,
 Unless thou take that honour from thy name:
 But do not so; I love thee in such sort
 As, thou being mine, mine is thy good report.
 As a decrepit father takes delight
 To see his active child do deeds of youth,
 So I, made lame by fortune's dearest spite,
 Take all my comfort of thy worth and truth.
 For whether beauty, birth, or wealth, or wit,
 Or any of these all, or all, or more,
 Entitled in thy parts do crowned sit,
 I make my love engrafted to this store:
 So then I am not lame, poor, nor despised,
 Whilst that this shadow doth such substance give
 That I in thy abundance am sufficed
 And by a part of all thy glory live.
 Look, what is best, that best I wish in thee:
 This wish I have; then ten times happy me!
@@ -23,7 +23,6 @@ th {
 | ShareGPT4V (Image) | ✅ | ✅ | `wget https://huggingface.co/datasets/Lin-Chen/ShareGPT4V/resolve/main/sharegpt4v_instruct_gpt4-vision_cap100k.json`<br>Note that the images need to be downloaded separately. For example, to download COCO's 2017 Train images:<br>`wget http://images.cocodataset.org/zips/train2017.zip` |
 | ShareGPT4Video (Video) | ✅ | ✅ | `git clone https://huggingface.co/datasets/ShareGPT4Video/ShareGPT4Video` |
 | BurstGPT | ✅ | ✅ | `wget https://github.com/HPMLL/BurstGPT/releases/download/v1.1/BurstGPT_without_fails_2.csv` |
 | Sonnet (deprecated) | ✅ | ✅ | Local file: `benchmarks/sonnet.txt` |
 | Random | ✅ | ✅ | `synthetic` |
 | RandomMultiModal (Image/Video) | ✅ | ✅ | `synthetic` |
 | RandomForReranking | ✅ | ✅ | `synthetic` |
@@ -773,16 +772,17 @@ Using KV cache metrics for load pattern configuration:
 ```bash
 vllm bench throughput \
  --model NousResearch/Hermes-3-Llama-3.1-8B \
-  --dataset-name sonnet \
+  --dataset-name random \
-  --dataset-path vllm/benchmarks/sonnet.txt \
+  --random-input-len 500 \
  --random-output-len 150 \
  --num-prompts 10
 ```
 If successful, you will see the following output
 ```text
-Throughput: 7.15 requests/s, 4656.00 total tokens/s, 1072.15 output tokens/s
+Throughput: 7.15 requests/s, 4647.50 total tokens/s, 1072.50 output tokens/s
-Total num prompt tokens:  5014
+Total num prompt tokens:  5000
 Total num output tokens:  1500
 ```
@@ -192,7 +192,6 @@ python = "./.venv"
 [tool.typos.files]
 # these files may be written in non english words
 extend-exclude = ["tests/models/fixtures/*", "tests/prompts/*", "tests/tokenizers_/*",
    "benchmarks/sonnet.txt", "rust/src/bench/src/datasets/sonnet.txt",
    "tests/lora/data/*", "build/*",
    "examples/pooling/token_embed/*", "tests/models/language/pooling/*",
    "vllm/third_party/*", "vllm/entrypoints/serve/instrumentator/static/*",
@@ -47,7 +47,6 @@ cargo test -p vllm-bench -- --ignored
 - `src/datasets/random.rs` — Random dataset generation with rayon parallelism
 - `src/datasets/random_mm.rs` — Random multimodal dataset (synthetic JPEG images, bucket config sampling, pre-serialized JSON fragments); `--enable-multimodal-chat` pre-builds the chat `messages` array at dataset time (mirrors Python's `apply_multimodal_chat_transformation`)
 - `src/datasets/sharegpt.rs` — ShareGPT JSON loader + HuggingFace Hub auto-download with caching
 - `src/datasets/sonnet.rs` and `src/datasets/sonnet.txt` — Sonnet dataset (built-in Shakespeare sonnets via `include_str!("sonnet.txt")`; controllable token length + shared prefix; mirrors Python `SonnetDataset`)
 - `src/datasets/speed_bench.rs` — NVIDIA SPEED-Bench loader (HF datasets-server API, 6 configs, 11 categories, local cache)
 - `src/datasets/hf_dataset.rs` — Generic HuggingFace dataset loader (parquet shards via hf-hub into the standard HF hub cache; datasets-server for config/split discovery; native main-branch parquet/JSON fallback for private datasets; column auto-detection)
 - `src/datasets/custom.rs` — Custom JSONL dataset (`{"prompt": ..., "output_tokens": ...}` per line; `--custom-output-len -1` uses per-line output_tokens; prompts always sent raw — no client-side chat template)
@@ -13,7 +13,7 @@ vllm-bench --backend vllm --base-url http://127.0.0.1:8000 \
 - **Fast** — ~7 ms startup, single ~7 MB static binary, no Python imports.
 - **Scales** — `Arc<str>` prompt sharing + mimalloc keep memory <100 MB at 1400+ concurrency.
- **Many datasets** — `random`, `random-mm` (VLM), `sharegpt`, `sonnet`, `speed-bench`, and any HuggingFace dataset.
+- **Many datasets** — `random`, `random-mm` (VLM), `sharegpt`, `speed-bench`, and any HuggingFace dataset.
 - **Many backends** — completions, chat, embeddings, pooling, and rerank.
 - **Beyond a single run** — concurrency/rate **sweeps**, **multi-run** stats, **multi-turn** conversations, **LoRA** multi-adapter, and result **comparison**.
 - **Steady-state metrics** — throughput/latency measured over the saturated plateau, excluding ramp-up and drain.
@@ -127,7 +127,7 @@ vllm-bench \
 </details>
 <details>
-<summary><b>Datasets (ShareGPT / Sonnet / HuggingFace / SPEED-Bench)</b></summary>
+<summary><b>Datasets (ShareGPT / HuggingFace / SPEED-Bench)</b></summary>
 ```bash
 # ShareGPT (auto-downloads from HuggingFace on first run, cached afterwards)
@@ -141,14 +141,6 @@ vllm-bench \
  --dataset-name sharegpt --dataset-path /path/to/ShareGPT_V3.json \
  --num-prompts 500 --save-result
 # Sonnet — built-in Shakespeare sonnets, no dataset file needed.
 # Generates prompts of a controllable token length with a shared prefix.
 vllm-bench \
  --backend openai-chat --base-url http://127.0.0.1:8000 --model <model-name> \
  --dataset-name sonnet \
  --sonnet-input-len 550 --sonnet-output-len 150 --sonnet-prefix-len 200 \
  --num-prompts 500
 # Any HuggingFace dataset (downloads parquet shards into the standard HF hub
 # cache — shared with `hf download` and Python tooling — auto-detects columns)
 vllm-bench \
@@ -449,7 +441,7 @@ to measure a concurrent serving-style workload.
 | `vllm-pooling` | `/pooling` | vLLM native pooling endpoint |
 | `vllm-rerank` | `/v1/rerank` | vLLM reranking (query from prompt, documents via `--extra-body`) |
-Pooling backends are non-streaming and report E2EL (end-to-end latency) only. Use `--dataset-name sharegpt`, `sonnet`, or `hf` for text-based embedding/rerank benchmarks, or `random` for token-ID-based embedding benchmarks.
+Pooling backends are non-streaming and report E2EL (end-to-end latency) only. Use `--dataset-name sharegpt` or `hf` for text-based embedding/rerank benchmarks, or `random` for token-ID-based embedding benchmarks.
 ## Supported Datasets
@@ -458,7 +450,6 @@ Pooling backends are non-streaming and report E2EL (end-to-end latency) only. Us
 | `random` | Synthetic prompts with exact token-length matching (default) |
 | `random-mm` | Synthetic multimodal prompts with random JPEG images for VLM benchmarking (requires `openai-chat`) |
 | `sharegpt` | Real conversations from ShareGPT (auto-downloads from HuggingFace, or use `--dataset-path`) |
 | `sonnet` | Built-in Shakespeare sonnets; controllable token length + shared prefix, no dataset file needed |
 | `speed-bench` | NVIDIA SPEED-Bench for speculative decoding evaluation (auto-downloads, 11 categories) |
 | `hf` | Any HuggingFace dataset with parquet data (downloads parquet shards via hf-hub into the standard HF hub cache, auto-detects chat/text columns) |
@@ -523,8 +514,8 @@ Run `vllm-bench --help` for the authoritative list. Grouped reference below.
 | Flag | Default | Description |
 | ------ | --------- | ------------- |
-| `--dataset-name` | `random` | Dataset type (`random`, `random-mm`, `sharegpt`, `sonnet`, `speed-bench`, `hf`) |
+| `--dataset-name` | `random` | Dataset type (`random`, `random-mm`, `sharegpt`, `speed-bench`, `hf`) |
-| `--dataset-path` | — | Path to dataset file (optional for `sharegpt`/`sonnet`, which auto-source) |
+| `--dataset-path` | — | Path to dataset file (`sharegpt` auto-downloads when omitted) |
 | `--num-prompts` | `1000` | Number of prompts to generate (conversations in multi-turn mode) |
 | `--max-model-len` | — | Filter out requests where `prompt_len + output_len` exceeds this context length |
 | `--input-len` | — | Override input length (general) |
@@ -545,10 +536,6 @@ Run `vllm-bench --help` for the authoritative list. Grouped reference below.
 | `--random-mm-bucket-config` | `{(256,256,1): 0.5, (720,1280,1): 0.5}` | `(height,width,frames)` → probability (Python tuple syntax; frames=1 = image) |
 | **ShareGPT** | | |
 | `--sharegpt-output-len` | — | Override output length |
 | **Sonnet** | | |
 | `--sonnet-input-len` | `550` | Input tokens per request |
 | `--sonnet-output-len` | `150` | Output tokens per request |
 | `--sonnet-prefix-len` | `200` | Prefix tokens shared across requests |
 | **SPEED-Bench** | | |
 | `--speed-bench-config` | `qualitative` | Split (`qualitative`, `throughput_1k`/`2k`/`8k`/`16k`/`32k`); alias: `--speed-bench-dataset-subset` (Python name) |
 | `--speed-bench-output-len` | `4096` | Output tokens per request (matches Python default) |
@@ -817,7 +804,6 @@ src/
 │   ├── random_mm.rs         # Random multimodal dataset (JPEG generation, bucket sampling)
 │   ├── multi_turn.rs        # Multi-turn synthetic + ShareGPT conversation generators
 │   ├── sharegpt.rs          # ShareGPT JSON dataset loader
 │   ├── sonnet.rs            # Sonnet dataset (built-in Shakespeare sonnets)
 │   ├── speed_bench.rs       # NVIDIA SPEED-Bench loader (auto-download + cache)
 │   └── hf_dataset.rs        # Generic HuggingFace dataset (auto-download, column detection)
 ├── metrics/
@@ -370,14 +370,6 @@ pub async fn run_benchmark(config: &BenchConfig) -> Result<serde_json::Value> {
            config.num_prompts,
            config.dataset_path.as_deref().unwrap_or("auto-download")
        ),
        DatasetName::Sonnet => format!(
            "{} prompts from Sonnet ({}, isl={}, osl={}, prefix={})",
            config.num_prompts,
            config.dataset_path.as_deref().unwrap_or("built-in"),
            config.sonnet_input_len,
            config.sonnet_output_len,
            config.sonnet_prefix_len,
        ),
        DatasetName::SpeedBench => {
            let truncate_info = config
                .speed_bench_max_input_len
@@ -484,21 +476,6 @@ pub async fn run_benchmark(config: &BenchConfig) -> Result<serde_json::Value> {
                config.disable_shuffle,
            )?
        }
        DatasetName::Sonnet => {
            let tok = tokenizer
                .as_ref()
                .ok_or_else(|| BenchError::Config("Sonnet dataset requires a tokenizer".into()))?;
            crate::datasets::sonnet::load_sonnet_dataset(
                tok,
                config.dataset_path.as_deref(),
                config.num_prompts,
                config.sonnet_input_len,
                config.sonnet_output_len,
                config.sonnet_prefix_len,
                config.seed,
                &config.request_id_prefix,
            )?
        }
        DatasetName::SpeedBench => {
            let tok = tokenizer.as_ref().ok_or_else(|| {
                BenchError::Config("SPEED-Bench dataset requires a tokenizer".into())
@@ -73,8 +73,6 @@ pub enum DatasetName {
    RandomMm,
    #[value(name = "sharegpt")]
    ShareGpt,
    #[value(name = "sonnet")]
    Sonnet,
    #[value(name = "speed-bench", alias = "speed_bench")]
    SpeedBench,
    #[value(name = "hf")]
@@ -521,19 +519,6 @@ pub struct BenchServeArgs {
    #[arg(long, default_value_t = false)]
    pub disable_shuffle: bool,
    // --- Sonnet dataset ---
    /// Number of input tokens per request (sonnet dataset).
    #[arg(long, default_value_t = crate::datasets::sonnet::DEFAULT_INPUT_LEN)]
    pub sonnet_input_len: usize,
    /// Number of output tokens per request (sonnet dataset).
    #[arg(long, default_value_t = crate::datasets::sonnet::DEFAULT_OUTPUT_LEN)]
    pub sonnet_output_len: usize,
    /// Number of prefix tokens shared across requests (sonnet dataset).
    #[arg(long, default_value_t = crate::datasets::sonnet::DEFAULT_PREFIX_LEN)]
    pub sonnet_prefix_len: usize,
    /// SPEED-Bench config/split (qualitative, throughput_1k, throughput_2k, throughput_8k,
    /// throughput_16k, throughput_32k).
    #[arg(
@@ -145,9 +145,6 @@ pub struct BenchConfig {
    pub prefix_repetition_num_prefixes: usize,
    pub prefix_repetition_output_len: usize,
    pub sharegpt_output_len: Option<usize>,
    pub sonnet_input_len: usize,
    pub sonnet_output_len: usize,
    pub sonnet_prefix_len: usize,
    pub no_oversample: bool,
    pub disable_shuffle: bool,
    pub num_prompts: usize,
@@ -447,8 +444,7 @@ impl BenchConfig {
            (MmLimitPerPrompt::default(), Vec::new())
        };
-        // Note: --dataset-path is optional for sharegpt (auto-downloads) and
+        // --dataset-path is optional for sharegpt (auto-downloads).
        // sonnet (uses built-in Shakespeare's sonnets).
        // Range ratio (Python semantics: [len*(1-r), len*(1+r)], each r in [0,1))
        let random_range_ratio = RangeRatio::parse(&args.random_range_ratio)?;
@@ -689,9 +685,6 @@ impl BenchConfig {
            random_cache_hit_fraction: args.random_cache_hit_fraction,
            random_cache_ratio: args.random_cache_ratio,
            sharegpt_output_len: args.sharegpt_output_len,
            sonnet_input_len: args.sonnet_input_len,
            sonnet_output_len: args.sonnet_output_len,
            sonnet_prefix_len: args.sonnet_prefix_len,
            no_oversample: args.no_oversample,
            disable_shuffle: args.disable_shuffle,
            num_prompts: args.num_prompts,
@@ -10,7 +10,6 @@ pub mod random;
 pub mod random_mm;
 pub mod random_rerank;
 pub mod sharegpt;
 pub mod sonnet;
 pub mod speed_bench;
 use std::sync::Arc;
@@ -1,131 +0,0 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright contributors to the vLLM project
 use std::sync::Arc;
 use rand::SeedableRng;
 use rand::rngs::StdRng;
 use rand::seq::IndexedRandom;
 use super::SampleRequest;
 use crate::error::{BenchError, Result};
 use crate::tokenizer::TokenizerKind;
 /// Default values mirror Python's SonnetDataset defaults (datasets.py).
 pub const DEFAULT_PREFIX_LEN: usize = 200;
 pub const DEFAULT_INPUT_LEN: usize = 550;
 pub const DEFAULT_OUTPUT_LEN: usize = 150;
 const BASE_PROMPT: &str = "Pick as many lines as you can from these poem lines:\n";
 /// Shakespeare's sonnets, public domain. Bundled so `--dataset-name sonnet` works
 /// out of the box without `--dataset-path`. Source:
 /// https://raw.githubusercontent.com/vllm-project/vllm/main/benchmarks/sonnet.txt
 const BUILTIN_SONNET: &str = include_str!("sonnet.txt");
 /// Load the sonnet dataset and generate `num_requests` prompts targeting `input_len`
 /// total prompt tokens.
 ///
 /// Mirrors Python's `SonnetDataset.sample()` from `vllm/benchmarks/datasets/datasets.py`.
 /// The Rust port skips `apply_chat_template` (no Jinja runtime here): `base_offset`
 /// and `prompt_len` are computed from the raw text. The resulting prompts are slightly
 /// shorter than Python's chat-template-formatted version (off by the chat scaffolding
 /// tokens, typically <20).
 pub fn load_sonnet_dataset(
    tokenizer: &TokenizerKind,
    dataset_path: Option<&str>,
    num_requests: usize,
    input_len: usize,
    output_len: usize,
    prefix_len: usize,
    seed: u64,
    request_id_prefix: &str,
 ) -> Result<Vec<SampleRequest>> {
    let content = match dataset_path {
        Some(path) => std::fs::read_to_string(path)
            .map_err(|e| BenchError::Config(format!("Failed to read sonnet file '{path}': {e}")))?,
        None => BUILTIN_SONNET.to_string(),
    };
    // Match Python's f.readlines(): keep trailing newlines so that joining lines
    // reconstructs the original text without inserting extra separators.
    let lines: Vec<String> = content.split_inclusive('\n').map(|s| s.to_string()).collect();
    if lines.is_empty() {
        let src = dataset_path.unwrap_or("<built-in>");
        return Err(BenchError::Config(format!("Sonnet file '{src}' is empty")));
    }
    // Average tokens per line (used to estimate how many lines to draw).
    let mut total_tokens: usize = 0;
    for line in &lines {
        let ids = tokenizer.encode(line, false)?;
        total_tokens += ids.len();
    }
    let avg_len = total_tokens as f64 / lines.len() as f64;
    if avg_len <= 0.0 {
        return Err(BenchError::Config(
            "Sonnet lines tokenized to zero tokens on average".into(),
        ));
    }
    let base_ids = tokenizer.encode(BASE_PROMPT, false)?;
    let base_offset = base_ids.len();
    if input_len <= base_offset {
        return Err(BenchError::Config(format!(
            "--sonnet-input-len ({input_len}) must be larger than the base prompt length ({base_offset})"
        )));
    }
    let num_input_lines = ((input_len - base_offset) as f64 / avg_len).round() as i64;
    let num_prefix_lines =
        (((prefix_len as i64 - base_offset as i64) as f64) / avg_len).round().max(0.0) as i64;
    let num_input_lines = num_input_lines.max(0) as usize;
    let num_prefix_lines = (num_prefix_lines as usize).min(lines.len());
    let num_input_lines = num_input_lines.max(num_prefix_lines);
    let prefix_lines: &[String] = &lines[..num_prefix_lines];
    let extras_per_request = num_input_lines - num_prefix_lines;
    let mut rng = StdRng::seed_from_u64(seed);
    let mut samples = Vec::with_capacity(num_requests);
    let mut ind = 0usize;
    let mut attempts = 0usize;
    let max_attempts = num_requests.saturating_mul(20).max(1000);
    while samples.len() < num_requests {
        if attempts >= max_attempts {
            return Err(BenchError::Config(format!(
                "Could not assemble {num_requests} sonnet prompts under input_len={input_len} \
                 after {attempts} attempts. Try increasing --sonnet-input-len."
            )));
        }
        attempts += 1;
        let mut prompt = String::with_capacity(BASE_PROMPT.len() + 256 * num_input_lines);
        prompt.push_str(BASE_PROMPT);
        for line in prefix_lines {
            prompt.push_str(line);
        }
        for _ in 0..extras_per_request {
            // random.choices with replacement — duplicates are allowed.
            let line = lines.choose(&mut rng).unwrap();
            prompt.push_str(line);
        }
        let prompt_ids = tokenizer.encode(&prompt, false)?;
        let prompt_len = prompt_ids.len();
        if prompt_len <= input_len {
            samples.push(SampleRequest {
                prompt: Arc::from(prompt),
                prompt_len,
                expected_output_len: output_len,
                request_id: Some(format!("{request_id_prefix}{ind}")),
                ..Default::default()
            });
            ind += 1;
        }
    }
    Ok(samples)
 }
@@ -1,518 +0,0 @@
 FROM fairest creatures we desire increase,
 That thereby beauty's rose might never die,
 But as the riper should by time decease,
 His tender heir might bear his memory:
 But thou, contracted to thine own bright eyes,
 Feed'st thy light'st flame with self-substantial fuel,
 Making a famine where abundance lies,
 Thyself thy foe, to thy sweet self too cruel.
 Thou that art now the world's fresh ornament
 And only herald to the gaudy spring,
 Within thine own bud buriest thy content
 And, tender churl, makest waste in niggarding.
 Pity the world, or else this glutton be,
 To eat the world's due, by the grave and thee.
 When forty winters shall beseige thy brow,
 And dig deep trenches in thy beauty's field,
 Thy youth's proud livery, so gazed on now,
 Will be a tatter'd weed, of small worth held:
 Then being ask'd where all thy beauty lies,
 Where all the treasure of thy lusty days,
 To say, within thine own deep-sunken eyes,
 Were an all-eating shame and thriftless praise.
 How much more praise deserved thy beauty's use,
 If thou couldst answer 'This fair child of mine
 Shall sum my count and make my old excuse,'
 Proving his beauty by succession thine!
 This were to be new made when thou art old,
 And see thy blood warm when thou feel'st it cold.
 Look in thy glass, and tell the face thou viewest
 Now is the time that face should form another;
 Whose fresh repair if now thou not renewest,
 Thou dost beguile the world, unbless some mother.
 For where is she so fair whose unear'd womb
 Disdains the tillage of thy husbandry?
 Or who is he so fond will be the tomb
 Of his self-love, to stop posterity?
 Thou art thy mother's glass, and she in thee
 Calls back the lovely April of her prime:
 So thou through windows of thine age shall see
 Despite of wrinkles this thy golden time.
 But if thou live, remember'd not to be,
 Die single, and thine image dies with thee.
 Unthrifty loveliness, why dost thou spend
 Upon thyself thy beauty's legacy?
 Nature's bequest gives nothing but doth lend,
 And being frank she lends to those are free.
 Then, beauteous niggard, why dost thou abuse
 The bounteous largess given thee to give?
 Profitless usurer, why dost thou use
 So great a sum of sums, yet canst not live?
 For having traffic with thyself alone,
 Thou of thyself thy sweet self dost deceive.
 Then how, when nature calls thee to be gone,
 What acceptable audit canst thou leave?
 Thy unused beauty must be tomb'd with thee,
 Which, used, lives th' executor to be.
 Those hours, that with gentle work did frame
 The lovely gaze where every eye doth dwell,
 Will play the tyrants to the very same
 And that unfair which fairly doth excel:
 For never-resting time leads summer on
 To hideous winter and confounds him there;
 Sap cheque'd with frost and lusty leaves quite gone,
 Beauty o'ersnow'd and bareness every where:
 Then, were not summer's distillation left,
 A liquid prisoner pent in walls of glass,
 Beauty's effect with beauty were bereft,
 Nor it nor no remembrance what it was:
 But flowers distill'd though they with winter meet,
 Leese but their show; their substance still lives sweet.
 Then let not winter's ragged hand deface
 In thee thy summer, ere thou be distill'd:
 Make sweet some vial; treasure thou some place
 With beauty's treasure, ere it be self-kill'd.
 That use is not forbidden usury,
 Which happies those that pay the willing loan;
 That's for thyself to breed another thee,
 Or ten times happier, be it ten for one;
 Ten times thyself were happier than thou art,
 If ten of thine ten times refigured thee:
 Then what could death do, if thou shouldst depart,
 Leaving thee living in posterity?
 Be not self-will'd, for thou art much too fair
 To be death's conquest and make worms thine heir.
 Lo! in the orient when the gracious light
 Lifts up his burning head, each under eye
 Doth homage to his new-appearing sight,
 Serving with looks his sacred majesty;
 And having climb'd the steep-up heavenly hill,
 Resembling strong youth in his middle age,
 yet mortal looks adore his beauty still,
 Attending on his golden pilgrimage;
 But when from highmost pitch, with weary car,
 Like feeble age, he reeleth from the day,
 The eyes, 'fore duteous, now converted are
 From his low tract and look another way:
 So thou, thyself out-going in thy noon,
 Unlook'd on diest, unless thou get a son.
 Music to hear, why hear'st thou music sadly?
 Sweets with sweets war not, joy delights in joy.
 Why lovest thou that which thou receivest not gladly,
 Or else receivest with pleasure thine annoy?
 If the true concord of well-tuned sounds,
 By unions married, do offend thine ear,
 They do but sweetly chide thee, who confounds
 In singleness the parts that thou shouldst bear.
 Mark how one string, sweet husband to another,
 Strikes each in each by mutual ordering,
 Resembling sire and child and happy mother
 Who all in one, one pleasing note do sing:
 Whose speechless song, being many, seeming one,
 Sings this to thee: 'thou single wilt prove none.'
 Is it for fear to wet a widow's eye
 That thou consumest thyself in single life?
 Ah! if thou issueless shalt hap to die.
 The world will wail thee, like a makeless wife;
 The world will be thy widow and still weep
 That thou no form of thee hast left behind,
 When every private widow well may keep
 By children's eyes her husband's shape in mind.
 Look, what an unthrift in the world doth spend
 Shifts but his place, for still the world enjoys it;
 But beauty's waste hath in the world an end,
 And kept unused, the user so destroys it.
 No love toward others in that bosom sits
 That on himself such murderous shame commits.
 For shame! deny that thou bear'st love to any,
 Who for thyself art so unprovident.
 Grant, if thou wilt, thou art beloved of many,
 But that thou none lovest is most evident;
 For thou art so possess'd with murderous hate
 That 'gainst thyself thou stick'st not to conspire.
 Seeking that beauteous roof to ruinate
 Which to repair should be thy chief desire.
 O, change thy thought, that I may change my mind!
 Shall hate be fairer lodged than gentle love?
 Be, as thy presence is, gracious and kind,
 Or to thyself at least kind-hearted prove:
 Make thee another self, for love of me,
 That beauty still may live in thine or thee.
 As fast as thou shalt wane, so fast thou growest
 In one of thine, from that which thou departest;
 And that fresh blood which youngly thou bestowest
 Thou mayst call thine when thou from youth convertest.
 Herein lives wisdom, beauty and increase:
 Without this, folly, age and cold decay:
 If all were minded so, the times should cease
 And threescore year would make the world away.
 Let those whom Nature hath not made for store,
 Harsh featureless and rude, barrenly perish:
 Look, whom she best endow'd she gave the more;
 Which bounteous gift thou shouldst in bounty cherish:
 She carved thee for her seal, and meant thereby
 Thou shouldst print more, not let that copy die.
 When I do count the clock that tells the time,
 And see the brave day sunk in hideous night;
 When I behold the violet past prime,
 And sable curls all silver'd o'er with white;
 When lofty trees I see barren of leaves
 Which erst from heat did canopy the herd,
 And summer's green all girded up in sheaves
 Borne on the bier with white and bristly beard,
 Then of thy beauty do I question make,
 That thou among the wastes of time must go,
 Since sweets and beauties do themselves forsake
 And die as fast as they see others grow;
 And nothing 'gainst Time's scythe can make defence
 Save breed, to brave him when he takes thee hence.
 O, that you were yourself! but, love, you are
 No longer yours than you yourself here live:
 Against this coming end you should prepare,
 And your sweet semblance to some other give.
 So should that beauty which you hold in lease
 Find no determination: then you were
 Yourself again after yourself's decease,
 When your sweet issue your sweet form should bear.
 Who lets so fair a house fall to decay,
 Which husbandry in honour might uphold
 Against the stormy gusts of winter's day
 And barren rage of death's eternal cold?
 O, none but unthrifts! Dear my love, you know
 You had a father: let your son say so.
 Not from the stars do I my judgment pluck;
 And yet methinks I have astronomy,
 But not to tell of good or evil luck,
 Of plagues, of dearths, or seasons' quality;
 Nor can I fortune to brief minutes tell,
 Pointing to each his thunder, rain and wind,
 Or say with princes if it shall go well,
 By oft predict that I in heaven find:
 But from thine eyes my knowledge I derive,
 And, constant stars, in them I read such art
 As truth and beauty shall together thrive,
 If from thyself to store thou wouldst convert;
 Or else of thee this I prognosticate:
 Thy end is truth's and beauty's doom and date.
 When I consider every thing that grows
 Holds in perfection but a little moment,
 That this huge stage presenteth nought but shows
 Whereon the stars in secret influence comment;
 When I perceive that men as plants increase,
 Cheered and cheque'd even by the self-same sky,
 Vaunt in their youthful sap, at height decrease,
 And wear their brave state out of memory;
 Then the conceit of this inconstant stay
 Sets you most rich in youth before my sight,
 Where wasteful Time debateth with Decay,
 To change your day of youth to sullied night;
 And all in war with Time for love of you,
 As he takes from you, I engraft you new.
 But wherefore do not you a mightier way
 Make war upon this bloody tyrant, Time?
 And fortify yourself in your decay
 With means more blessed than my barren rhyme?
 Now stand you on the top of happy hours,
 And many maiden gardens yet unset
 With virtuous wish would bear your living flowers,
 Much liker than your painted counterfeit:
 So should the lines of life that life repair,
 Which this, Time's pencil, or my pupil pen,
 Neither in inward worth nor outward fair,
 Can make you live yourself in eyes of men.
 To give away yourself keeps yourself still,
 And you must live, drawn by your own sweet skill.
 Who will believe my verse in time to come,
 If it were fill'd with your most high deserts?
 Though yet, heaven knows, it is but as a tomb
 Which hides your life and shows not half your parts.
 If I could write the beauty of your eyes
 And in fresh numbers number all your graces,
 The age to come would say 'This poet lies:
 Such heavenly touches ne'er touch'd earthly faces.'
 So should my papers yellow'd with their age
 Be scorn'd like old men of less truth than tongue,
 And your true rights be term'd a poet's rage
 And stretched metre of an antique song:
 But were some child of yours alive that time,
 You should live twice; in it and in my rhyme.
 Shall I compare thee to a summer's day?
 Thou art more lovely and more temperate:
 Rough winds do shake the darling buds of May,
 And summer's lease hath all too short a date:
 Sometime too hot the eye of heaven shines,
 And often is his gold complexion dimm'd;
 And every fair from fair sometime declines,
 By chance or nature's changing course untrimm'd;
 But thy eternal summer shall not fade
 Nor lose possession of that fair thou owest;
 Nor shall Death brag thou wander'st in his shade,
 When in eternal lines to time thou growest:
 So long as men can breathe or eyes can see,
 So long lives this and this gives life to thee.
 Devouring Time, blunt thou the lion's paws,
 And make the earth devour her own sweet brood;
 Pluck the keen teeth from the fierce tiger's jaws,
 And burn the long-lived phoenix in her blood;
 Make glad and sorry seasons as thou fleets,
 And do whate'er thou wilt, swift-footed Time,
 To the wide world and all her fading sweets;
 But I forbid thee one most heinous crime:
 O, carve not with thy hours my love's fair brow,
 Nor draw no lines there with thine antique pen;
 Him in thy course untainted do allow
 For beauty's pattern to succeeding men.
 Yet, do thy worst, old Time: despite thy wrong,
 My love shall in my verse ever live young.
 A woman's face with Nature's own hand painted
 Hast thou, the master-mistress of my passion;
 A woman's gentle heart, but not acquainted
 With shifting change, as is false women's fashion;
 An eye more bright than theirs, less false in rolling,
 Gilding the object whereupon it gazeth;
 A man in hue, all 'hues' in his controlling,
 Much steals men's eyes and women's souls amazeth.
 And for a woman wert thou first created;
 Till Nature, as she wrought thee, fell a-doting,
 And by addition me of thee defeated,
 By adding one thing to my purpose nothing.
 But since she prick'd thee out for women's pleasure,
 Mine be thy love and thy love's use their treasure.
 So is it not with me as with that Muse
 Stirr'd by a painted beauty to his verse,
 Who heaven itself for ornament doth use
 And every fair with his fair doth rehearse
 Making a couplement of proud compare,
 With sun and moon, with earth and sea's rich gems,
 With April's first-born flowers, and all things rare
 That heaven's air in this huge rondure hems.
 O' let me, true in love, but truly write,
 And then believe me, my love is as fair
 As any mother's child, though not so bright
 As those gold candles fix'd in heaven's air:
 Let them say more than like of hearsay well;
 I will not praise that purpose not to sell.
 My glass shall not persuade me I am old,
 So long as youth and thou are of one date;
 But when in thee time's furrows I behold,
 Then look I death my days should expiate.
 For all that beauty that doth cover thee
 Is but the seemly raiment of my heart,
 Which in thy breast doth live, as thine in me:
 How can I then be elder than thou art?
 O, therefore, love, be of thyself so wary
 As I, not for myself, but for thee will;
 Bearing thy heart, which I will keep so chary
 As tender nurse her babe from faring ill.
 Presume not on thy heart when mine is slain;
 Thou gavest me thine, not to give back again.
 As an unperfect actor on the stage
 Who with his fear is put besides his part,
 Or some fierce thing replete with too much rage,
 Whose strength's abundance weakens his own heart.
 So I, for fear of trust, forget to say
 The perfect ceremony of love's rite,
 And in mine own love's strength seem to decay,
 O'ercharged with burden of mine own love's might.
 O, let my books be then the eloquence
 And dumb presagers of my speaking breast,
 Who plead for love and look for recompense
 More than that tongue that more hath more express'd.
 O, learn to read what silent love hath writ:
 To hear with eyes belongs to love's fine wit.
 Mine eye hath play'd the painter and hath stell'd
 Thy beauty's form in table of my heart;
 My body is the frame wherein 'tis held,
 And perspective it is the painter's art.
 For through the painter must you see his skill,
 To find where your true image pictured lies;
 Which in my bosom's shop is hanging still,
 That hath his windows glazed with thine eyes.
 Now see what good turns eyes for eyes have done:
 Mine eyes have drawn thy shape, and thine for me
 Are windows to my breast, where-through the sun
 Delights to peep, to gaze therein on thee;
 Yet eyes this cunning want to grace their art;
 They draw but what they see, know not the heart.
 Let those who are in favour with their stars
 Of public honour and proud titles boast,
 Whilst I, whom fortune of such triumph bars,
 Unlook'd for joy in that I honour most.
 Great princes' favourites their fair leaves spread
 But as the marigold at the sun's eye,
 And in themselves their pride lies buried,
 For at a frown they in their glory die.
 The painful warrior famoused for fight,
 After a thousand victories once foil'd,
 Is from the book of honour razed quite,
 And all the rest forgot for which he toil'd:
 Then happy I, that love and am beloved
 Where I may not remove nor be removed.
 Lord of my love, to whom in vassalage
 Thy merit hath my duty strongly knit,
 To thee I send this written embassage,
 To witness duty, not to show my wit:
 Duty so great, which wit so poor as mine
 May make seem bare, in wanting words to show it,
 But that I hope some good conceit of thine
 In thy soul's thought, all naked, will bestow it;
 Till whatsoever star that guides my moving
 Points on me graciously with fair aspect
 And puts apparel on my tatter'd loving,
 To show me worthy of thy sweet respect:
 Then may I dare to boast how I do love thee;
 Till then not show my head where thou mayst prove me.
 Weary with toil, I haste me to my bed,
 The dear repose for limbs with travel tired;
 But then begins a journey in my head,
 To work my mind, when body's work's expired:
 For then my thoughts, from far where I abide,
 Intend a zealous pilgrimage to thee,
 And keep my drooping eyelids open wide,
 Looking on darkness which the blind do see
 Save that my soul's imaginary sight
 Presents thy shadow to my sightless view,
 Which, like a jewel hung in ghastly night,
 Makes black night beauteous and her old face new.
 Lo! thus, by day my limbs, by night my mind,
 For thee and for myself no quiet find.
 How can I then return in happy plight,
 That am debarr'd the benefit of rest?
 When day's oppression is not eased by night,
 But day by night, and night by day, oppress'd?
 And each, though enemies to either's reign,
 Do in consent shake hands to torture me;
 The one by toil, the other to complain
 How far I toil, still farther off from thee.
 I tell the day, to please them thou art bright
 And dost him grace when clouds do blot the heaven:
 So flatter I the swart-complexion'd night,
 When sparkling stars twire not thou gild'st the even.
 But day doth daily draw my sorrows longer
 And night doth nightly make grief's strength seem stronger.
 When, in disgrace with fortune and men's eyes,
 I all alone beweep my outcast state
 And trouble deal heaven with my bootless cries
 And look upon myself and curse my fate,
 Wishing me like to one more rich in hope,
 Featured like him, like him with friends possess'd,
 Desiring this man's art and that man's scope,
 With what I most enjoy contented least;
 Yet in these thoughts myself almost despising,
 Haply I think on thee, and then my state,
 Like to the lark at break of day arising
 From sullen earth, sings hymns at heaven's gate;
 For thy sweet love remember'd such wealth brings
 That then I scorn to change my state with kings.
 When to the sessions of sweet silent thought
 I summon up remembrance of things past,
 I sigh the lack of many a thing I sought,
 And with old woes new wail my dear time's waste:
 Then can I drown an eye, unused to flow,
 For precious friends hid in death's dateless night,
 And weep afresh love's long since cancell'd woe,
 And moan the expense of many a vanish'd sight:
 Then can I grieve at grievances foregone,
 And heavily from woe to woe tell o'er
 The sad account of fore-bemoaned moan,
 Which I new pay as if not paid before.
 But if the while I think on thee, dear friend,
 All losses are restored and sorrows end.
 Thy bosom is endeared with all hearts,
 Which I by lacking have supposed dead,
 And there reigns love and all love's loving parts,
 And all those friends which I thought buried.
 How many a holy and obsequious tear
 Hath dear religious love stol'n from mine eye
 As interest of the dead, which now appear
 But things removed that hidden in thee lie!
 Thou art the grave where buried love doth live,
 Hung with the trophies of my lovers gone,
 Who all their parts of me to thee did give;
 That due of many now is thine alone:
 Their images I loved I view in thee,
 And thou, all they, hast all the all of me.
 If thou survive my well-contented day,
 When that churl Death my bones with dust shall cover,
 And shalt by fortune once more re-survey
 These poor rude lines of thy deceased lover,
 Compare them with the bettering of the time,
 And though they be outstripp'd by every pen,
 Reserve them for my love, not for their rhyme,
 Exceeded by the height of happier men.
 O, then vouchsafe me but this loving thought:
 'Had my friend's Muse grown with this growing age,
 A dearer birth than this his love had brought,
 To march in ranks of better equipage:
 But since he died and poets better prove,
 Theirs for their style I'll read, his for his love.'
 Full many a glorious morning have I seen
 Flatter the mountain-tops with sovereign eye,
 Kissing with golden face the meadows green,
 Gilding pale streams with heavenly alchemy;
 Anon permit the basest clouds to ride
 With ugly rack on his celestial face,
 And from the forlorn world his visage hide,
 Stealing unseen to west with this disgrace:
 Even so my sun one early morn did shine
 With all triumphant splendor on my brow;
 But out, alack! he was but one hour mine;
 The region cloud hath mask'd him from me now.
 Yet him for this my love no whit disdaineth;
 Suns of the world may stain when heaven's sun staineth.
 Why didst thou promise such a beauteous day,
 And make me travel forth without my cloak,
 To let base clouds o'ertake me in my way,
 Hiding thy bravery in their rotten smoke?
 'Tis not enough that through the cloud thou break,
 To dry the rain on my storm-beaten face,
 For no man well of such a salve can speak
 That heals the wound and cures not the disgrace:
 Nor can thy shame give physic to my grief;
 Though thou repent, yet I have still the loss:
 The offender's sorrow lends but weak relief
 To him that bears the strong offence's cross.
 Ah! but those tears are pearl which thy love sheds,
 And they are rich and ransom all ill deeds.
 No more be grieved at that which thou hast done:
 Roses have thorns, and silver fountains mud;
 Clouds and eclipses stain both moon and sun,
 And loathsome canker lives in sweetest bud.
 All men make faults, and even I in this,
 Authorizing thy trespass with compare,
 Myself corrupting, salving thy amiss,
 Excusing thy sins more than thy sins are;
 For to thy sensual fault I bring in sense--
 Thy adverse party is thy advocate--
 And 'gainst myself a lawful plea commence:
 Such civil war is in my love and hate
 That I an accessary needs must be
 To that sweet thief which sourly robs from me.
 Let me confess that we two must be twain,
 Although our undivided loves are one:
 So shall those blots that do with me remain
 Without thy help by me be borne alone.
 In our two loves there is but one respect,
 Though in our lives a separable spite,
 Which though it alter not love's sole effect,
 Yet doth it steal sweet hours from love's delight.
 I may not evermore acknowledge thee,
 Lest my bewailed guilt should do thee shame,
 Nor thou with public kindness honour me,
 Unless thou take that honour from thy name:
 But do not so; I love thee in such sort
 As, thou being mine, mine is thy good report.
 As a decrepit father takes delight
 To see his active child do deeds of youth,
 So I, made lame by fortune's dearest spite,
 Take all my comfort of thy worth and truth.
 For whether beauty, birth, or wealth, or wit,
 Or any of these all, or all, or more,
 Entitled in thy parts do crowned sit,
 I make my love engrafted to this store:
 So then I am not lame, poor, nor despised,
 Whilst that this shadow doth such substance give
 That I in thy abundance am sufficed
 And by a part of all thy glory live.
 Look, what is best, that best I wish in thee:
 This wish I have; then ten times happy me!
@@ -170,11 +170,6 @@ pub async fn run_multi_turn_benchmark(config: &BenchConfig) -> Result<serde_json
                "Random-MM multi-turn is not yet supported. Use 'random' or 'sharegpt' with --multi-turn.".into(),
            ));
        }
        DatasetName::Sonnet => {
            return Err(BenchError::Config(
                "Sonnet multi-turn is not yet supported. Use 'random' or 'sharegpt' with --multi-turn.".into(),
            ));
        }
        DatasetName::SpeedBench => {
            return Err(BenchError::Config(
                "SPEED-Bench multi-turn is not yet supported. Use 'random' or 'sharegpt' with --multi-turn.".into(),
@@ -86,9 +86,6 @@
 --sharegpt-output-len
 --skip-chat-template
 --skip-tokenizer-init
 --sonnet-input-len
 --sonnet-output-len
 --sonnet-prefix-len
 --spec-bench-category
 --spec-bench-output-len
 --speed-bench-category
@@ -27,7 +27,6 @@ from vllm.benchmarks.datasets.datasets import (
    RandomMultiModalDataset,
    SampleRequest,
    ShareGPTDataset,
    SonnetDataset,
    SpecBench,
    VisionArenaDataset,
    add_dataset_parser,
@@ -71,7 +70,6 @@ __all__ = [
    "RandomMultiModalDataset",
    "SampleRequest",
    "ShareGPTDataset",
    "SonnetDataset",
    "SpecBench",
    "VisionArenaDataset",
    "add_dataset_parser",
@@ -12,8 +12,8 @@ Usage
 ::
    python -m vllm.benchmarks.datasets.create_txt_slices_dataset \\
-        --input  sonnet.txt \\
+        --input  corpus.txt \\
-        --output sonnet_dataset.jsonl \\
+        --output dataset.jsonl \\
        --tokenizer gpt2 \\
        --num-prompts 1000 \\
        --input-len 1024 \\
@@ -23,7 +23,7 @@ The resulting JSONL file can then be used with the serving benchmark::
    python -m vllm.benchmarks.serve \\
        --dataset-name custom \\
-        --dataset-path sonnet_dataset.jsonl \\
+        --dataset-path dataset.jsonl \\
        ...
 """
@@ -5,7 +5,6 @@ datasets. Each dataset subclass of BenchmarkDataset must implement sample
 generation. Supported dataset types include:
  - ShareGPT
  - Random (synthetic)
  - Sonnet
  - BurstGPT
  - HuggingFace
  - VisionArena
@@ -31,7 +30,6 @@ from typing import Any, cast
 import numpy as np
 import pybase64 as base64
 from PIL import Image
 from typing_extensions import deprecated
 from vllm.benchmarks.datasets.utils import (
    RangeRatio,
@@ -1598,7 +1596,6 @@ def add_dataset_parser(parser: FlexibleArgumentParser):
        choices=[
            "sharegpt",
            "burstgpt",
            "sonnet",
            "random",
            "random-mm",
            "random-rerank",
@@ -1622,8 +1619,7 @@ def add_dataset_parser(parser: FlexibleArgumentParser):
        "--dataset-path",
        type=str,
        default=None,
-        help="Path to the sharegpt/sonnet dataset or the HF dataset ID if "
+        help="Path to the ShareGPT dataset or the HF dataset ID if using HF dataset.",
        "using HF dataset.",
    )
    parser.add_argument(
        "--no-oversample",
@@ -1681,26 +1677,6 @@ def add_dataset_parser(parser: FlexibleArgumentParser):
        help="Category for spec bench dataset. If None, use all categories.",
    )
    sonnet_group = parser.add_argument_group("sonnet dataset options")
    sonnet_group.add_argument(
        "--sonnet-input-len",
        type=int,
        default=550,
        help="Number of input tokens per request, used only for sonnet dataset.",
    )
    sonnet_group.add_argument(
        "--sonnet-output-len",
        type=int,
        default=150,
        help="Number of output tokens per request, used only for sonnet dataset.",
    )
    sonnet_group.add_argument(
        "--sonnet-prefix-len",
        type=int,
        default=200,
        help="Number of prefix tokens per request, used only for sonnet dataset.",
    )
    sharegpt_group = parser.add_argument_group("sharegpt dataset options")
    sharegpt_group.add_argument(
        "--sharegpt-output-len",
@@ -2134,45 +2110,6 @@ def get_samples(
            no_oversample=args.no_oversample,
        )
    elif args.dataset_name == "sonnet":
        assert tokenizer is not None, (
            "Tokenizer must be initialized for the 'sonnet' dataset."
        )
        sonnet_dataset = SonnetDataset(
            dataset_path=args.dataset_path, disable_shuffle=args.disable_shuffle
        )
        # For the "sonnet" dataset, formatting depends on the backend.
        # Chat-style backends leave templating to the server; completions
        # backends need the prompt rendered client side.
        if args.backend in ("openai-chat", "openai-responses"):
            input_requests = sonnet_dataset.sample(
                num_requests=args.num_prompts,
                input_len=args.sonnet_input_len,
                output_len=args.sonnet_output_len,
                prefix_len=args.sonnet_prefix_len,
                tokenizer=tokenizer,
                return_prompt_formatted=False,
                request_id_prefix=args.request_id_prefix,
                no_oversample=args.no_oversample,
            )
        else:
            assert (
                hasattr(tokenizer, "chat_template") and tokenizer.chat_template
            ) or (
                hasattr(tokenizer, "default_chat_template")
                and tokenizer.default_chat_template
            ), "Tokenizer/model must have chat template for sonnet dataset."
            input_requests = sonnet_dataset.sample(
                num_requests=args.num_prompts,
                input_len=args.sonnet_input_len,
                output_len=args.sonnet_output_len,
                prefix_len=args.sonnet_prefix_len,
                tokenizer=tokenizer,
                return_prompt_formatted=True,
                request_id_prefix=args.request_id_prefix,
                no_oversample=args.no_oversample,
            )
    elif args.dataset_name == "hf":
        # all following datasets are implemented from the
        # HuggingFaceDataset base class
@@ -3070,106 +3007,6 @@ class SpecBench(CustomDataset):
        )
 # -----------------------------------------------------------------------------
 # Sonnet Dataset Implementation
 # -----------------------------------------------------------------------------
@deprecated(
    "SonnetDataset is deprecated and will be removed in a future version.",
 )
 class SonnetDataset(BenchmarkDataset):
    """Simplified implementation of the Sonnet dataset.  Loads poem lines from a
    text file and generates sample requests.  Default values here copied from
    `benchmark_serving.py` for the sonnet dataset.
    """
    DEFAULT_PREFIX_LEN = 200
    DEFAULT_INPUT_LEN = 550
    DEFAULT_OUTPUT_LEN = 150
    def __init__(
        self,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        self.load_data()
    def load_data(self) -> None:
        if not self.dataset_path:
            raise ValueError("dataset_path must be provided.")
        with open(self.dataset_path, encoding="utf-8") as f:
            self.data = f.readlines()
    def sample(
        self,
        tokenizer: TokenizerLike,
        num_requests: int,
        request_id_prefix: str = "",
        no_oversample: bool = False,
        prefix_len: int = DEFAULT_PREFIX_LEN,
        input_len: int = DEFAULT_INPUT_LEN,
        output_len: int = DEFAULT_OUTPUT_LEN,
        return_prompt_formatted: bool = False,
        **kwargs,
    ) -> list[SampleRequest]:
        poem_lines = self.data
        assert poem_lines is not None
        # Calculate average token length for a poem line.
        tokenized_lines = [tokenizer(line).input_ids for line in poem_lines]
        avg_len = sum(len(tokens) for tokens in tokenized_lines) / len(tokenized_lines)
        # Build the base prompt.
        base_prompt = "Pick as many lines as you can from these poem lines:\n"
        base_msg = [{"role": "user", "content": base_prompt}]
        base_fmt = tokenizer.apply_chat_template(
            base_msg,  # type: ignore[arg-type]
            add_generation_prompt=True,
            tokenize=False,
        )
        assert isinstance(base_fmt, str)
        base_offset = len(tokenizer(base_fmt).input_ids)
        if input_len <= base_offset:
            raise ValueError(
                f"'input_len' must be higher than the base prompt length "
                f"({base_offset})."
            )
        # Determine how many poem lines to use.
        num_input_lines = max(round((input_len - base_offset) / avg_len), 1)
        num_prefix_lines = max(round((prefix_len - base_offset) / avg_len), 0)
        prefix_lines = poem_lines[:num_prefix_lines]
        samples: list[SampleRequest] = []
        ind = 0
        while len(samples) < num_requests:
            extra_lines = random.choices(
                poem_lines, k=num_input_lines - num_prefix_lines
            )
            prompt = f"{base_prompt}{''.join(prefix_lines + extra_lines)}"
            msg = [{"role": "user", "content": prompt}]
            prompt_formatted = tokenizer.apply_chat_template(
                msg,  # type: ignore[arg-type]
                add_generation_prompt=True,
                tokenize=False,
            )
            assert isinstance(prompt_formatted, str)
            prompt_len = len(tokenizer(prompt_formatted).input_ids)
            if prompt_len <= input_len:
                samples.append(
                    SampleRequest(
                        prompt=(
                            prompt_formatted if return_prompt_formatted else prompt
                        ),
                        prompt_len=prompt_len,
                        expected_output_len=output_len,
                        request_id=request_id_prefix + str(ind),
                    )
                )
                ind += 1
        return samples
 # -----------------------------------------------------------------------------
 # BurstGPT Dataset Implementation
 # -----------------------------------------------------------------------------
@@ -1653,8 +1653,7 @@ def add_cli_args(parser: FlexibleArgumentParser):
        "--input-len",
        type=int,
        default=None,
-        help="General input length for datasets. Maps to dataset-specific "
+        help="General input length for datasets. Maps to --random-input-len. "
        "input length arguments (e.g., --random-input-len, --sonnet-input-len). "
        "If not specified, uses dataset defaults.",
    )
    parser.add_argument(
@@ -1662,7 +1661,7 @@ def add_cli_args(parser: FlexibleArgumentParser):
        type=int,
        default=None,
        help="General output length for datasets. Maps to dataset-specific "
-        "output length arguments (e.g., --random-output-len, --sonnet-output-len). "
+        "output length arguments (e.g., --random-output-len, --hf-output-len). "
        "If not specified, uses dataset defaults.",
    )
    parser.add_argument(
@@ -2115,18 +2114,16 @@ async def main_async(args: argparse.Namespace) -> dict[str, Any]:
        raise ValueError(
            f"Cannot use '{args.dataset_name}' dataset with --dataset-path. "
            "Please specify the appropriate --dataset-name (e.g., "
-            "'sharegpt', 'custom', 'sonnet') for your dataset file: "
+            "'sharegpt', 'custom', 'hf') for your dataset file: "
            f"{args.dataset_path}"
        )
-    # Map general --input-len and --output-len to all dataset-specific arguments
+    # Map general length options to dataset-specific arguments.
    if args.input_len is not None:
        args.random_input_len = args.input_len
        args.sonnet_input_len = args.input_len
    if args.output_len is not None:
        args.random_output_len = args.output_len
        args.sonnet_output_len = args.output_len
        args.sharegpt_output_len = args.output_len
        args.custom_output_len = args.output_len
        args.hf_output_len = args.output_len
@@ -554,10 +554,6 @@ def _to_serve_args(args: argparse.Namespace) -> argparse.Namespace:
    # matching prior throughput behaviour of omitting output_len when unset.
    d["hf_output_len"] = output_len
    d["sharegpt_output_len"] = output_len
    # sonnet reads dedicated attrs; fall back to SonnetDataset's own defaults.
    d["sonnet_input_len"] = input_len if input_len is not None else 550
    d["sonnet_output_len"] = output_len if output_len is not None else 150
    d["sonnet_prefix_len"] = prefix_len
    # Explicit --enable-multimodal-chat wins; otherwise auto-enable for the
    # multimodal chat backend (preserves today's vllm-chat handling). Callers
    # without a --backend flag (e.g. bench mm-processor) drive every request
@@ -710,14 +706,14 @@ def validate_args(args):
        )
    # --prefix-len: only used when dataset_name is 'random', 'random-mm',
-    # 'sonnet', or not set.
+    # or not set.
    if (
-        args.dataset_name not in {"random", "random-mm", "sonnet", None}
+        args.dataset_name not in {"random", "random-mm", None}
        and args.prefix_len is not None
    ):
        warnings.warn(
            "--prefix-len will be ignored since --dataset-name\
-                 is not 'random', 'random-mm', 'sonnet', or not set.",
+                 is not 'random', 'random-mm', or not set.",
            stacklevel=2,
        )
@@ -803,7 +799,6 @@ def add_cli_args(parser: FlexibleArgumentParser):
        choices=[
            "sharegpt",
            "random",
            "sonnet",
            "burstgpt",
            "hf",
            "prefix_repetition",