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OpenOneRec/Explorer_LLM_Rec_Competition

Explorer_LLM_Rec_Competition This dataset contains user historical behaviors and content metadata, constructed from real user interaction histories. It covers behavior sequences across multiple domains for a single user and supports cross-domain recommendation, semantic-ID retrieval / generation, content understanding, and related tasks. Files File Description OneReason_UserProfile/ Per-user multi-domain behavior records (~500k rows)… See the full description on the dataset page: https://huggingface.co/datasets/OpenOneRec/Explorer_LLM_Rec_Competition.

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Dataset Card

ExplorerLLMRec_Competition

This dataset contains user historical behaviors and content metadata, constructed from real user interaction histories. It covers behavior sequences across multiple domains for a single user and supports cross-domain recommendation, semantic-ID retrieval / generation, content understanding, and related tasks.

Files

File	Description
`OneReason_UserProfile/`	Per-user multi-domain behavior records (~500k rows)
`OneReason_Pid2Sid/`	Mapping from content PID to three-segment semantic ID
`OneReason_Pid2Caption/`	Mapping from content PID to text caption
`OneReason_Pid2Tag/`	Mapping from content PID to level-3 category tag
`OneReason_General/`	General knowledge data

Anonymization & Join Rules

—All pid / item id / author id / live id are hashed int64 values.
—The user table contains no uid; each row is an anonymous user sample.
—Hashed item ids join the three item-metadata tables via (domain, pid).
—Regular videos and ads both come from the video system, distinguished by domain:
—Regular video: video/video
—Ad: video/ad
—Some users' video-watch sequences also contain ads.

Domain Values

Domain	Meaning	Associated user fields	Token prefix
`video/video`	Regular short videos	`video_`, `video_history_`	`<\	video_begin\	>`
`video/ad`	Ads / outer-loop content	`outer_loop_*`	`<\	ad_begin\	>`
`goods`	E-commerce products	`ec_*`	`<\	prod_begin\	>`
`live`	Live-streaming hosts	`live_hist_author_id_list`	`<\	living_begin\	>`

OneReason_Pid2Sid

Semantic-ID mapping table. Converts a content ID into a three-segment semantic ID.

Field	Type	Description
`pid`	int64	Hashed content / product / host ID
`domain`	string	Domain of the content (see Domain Values)
`sid_three`	list[float]	Three-segment semantic ID `[s_a, s_b, s_c]`

Token concatenation example:

text

video/video: <|video_begin|><s_a_123><s_b_456><s_c_789>
video/ad:    <|ad_begin|><s_a_123><s_b_456><s_c_789>
goods:       <|prod_begin|><s_a_123><s_b_456><s_c_789>
live:        <|living_begin|><s_a_123><s_b_456><s_c_789>

OneReason_Pid2Caption

Lookup of a content's text description by hashed PID.

Field	Type	Description
`pid`	int64	Hashed content / product / host ID
`domain`	string	Domain of the content (see Domain Values)
`caption`	string	Content description, or stringified list of description tags

OneReason_Pid2Tag

Level-3 category tag for video, ad, and live content.

Field	Type	Description
`pid`	int64	Hashed content / host ID
`domain`	string	Domain; currently `video/video`, `video/ad`, `live`
`tag_lv3`	string	Level-3 category tag

OneReason_UserProfile

Each row is an anonymous user-profile sample containing behavior sequences from e-commerce, short-video, live-streaming, and ad domains.

Sequence Alignment Rules

user_history fields are grouped into 4 domains. Each domain has one or more primary sequences (pid / ID sequences), and every primary sequence is paired with a set of aligned feature sequences of identical length. If both a primary sequence and its aligned feature sequences are null, the user has no behavior in that domain.

`video/video` (short video)

Primary sequence	Aligned feature sequences
`video_sampled_pid_list`	`video_neg_feedback_list`, `video_like_list`, `video_comment_list`, `video_forward_list`, `video_collect_list`, `video_watch_time_list`, `video_play_done_list`, `video_duration_list`, `video_ts_list`
`video_history_sampled_pid_list`	`video_history_neg_feedback_list`, `video_history_like_list`, `video_history_comment_list`, `video_history_forward_list`, `video_history_collect_list`, `video_history_watch_time_list`, `video_history_play_done_list`, `video_history_duration_list`, `video_history_ts_list`

`video/ad` (ads / outer-loop)

Primary sequence	Aligned feature sequences
`outer_loop_history_action_pid_list_pos`	`outer_loop_history_action_pid_list_pos_ts`
`outer_loop_history_action_pid_list_click`	`outer_loop_history_action_pid_list_click_ts`, `outer_loop_history_action_pid_list_click_type`, `outer_loop_history_action_pid_list_click_industry`
`outer_loop_deep_target_pid`	`outer_loop_deep_target_pid_ts`

`goods` (e-commerce)

Primary sequence	Aligned feature sequences
`ec_item_id_list`	`ec_cvr_label_list`, `ec_time_ms_list`
`ec_good_click_item_id_list_extend`	`ec_trunc_clk_lag`
`ec_good_order_item_id_list_extend`	`ec_trunc_buy_lag`
`ec_colossus_rs_item_id_list`	`ec_colossus_rs_lagv1_list`, `ec_colossus_rs_lagv2_list`, `ec_colossus_rs_is_click_list`, `ec_colossus_rs_is_cart_list`, `ec_colossus_rs_is_buy_list`

`live` (live-streaming)

Primary sequence Aligned feature sequences

live_hist_author_id_list live_hist_timestamp_list, live_hist_live_id_list, live_hist_show_cnt_list, live_hist_play_cnt_list, live_hist_valid_play_cnt_list, live_hist_play_duration_list, live_hist_valid_play_duration_list, live_hist_like_cnt_list, live_hist_comment_cnt_list, live_hist_reduce_similar_cnt_list, live_hist_report_live_cnt_list, live_hist_author_category_type_list, live_hist_author_type_list, live_hist_is_interactive_mp_live_list, live_hist_is_building_live_list, live_hist_is_local_life_live_list, live_hist_is_detect_game_live_list, live_hist_is_recruit_live_list, live_hist_follow_author_cnt_list

Primary sequence	Aligned feature sequences
`live_hist_author_id_list`	`live_hist_timestamp_list`, `live_hist_live_id_list`, `live_hist_show_cnt_list`, `live_hist_play_cnt_list`, `live_hist_valid_play_cnt_list`, `live_hist_play_duration_list`, `live_hist_valid_play_duration_list`, `live_hist_like_cnt_list`, `live_hist_comment_cnt_list`, `live_hist_reduce_similar_cnt_list`, `live_hist_report_live_cnt_list`, `live_hist_author_category_type_list`, `live_hist_author_type_list`, `live_hist_is_interactive_mp_live_list`, `live_hist_is_building_live_list`, `live_hist_is_local_life_live_list`, `live_hist_is_detect_game_live_list`, `live_hist_is_recruit_live_list`, `live_hist_follow_author_cnt_list`

E-commerce Fields

Field	Type	Description
`ec_item_id_list`	list[int64]	E-commerce item ID sequence
`ec_cvr_label_list`	list[int64]	Conversion label aligned with `ec_item_id_list`
`ec_time_ms_list`	list[int64]	Absolute timestamp (ms) aligned with `ec_item_id_list`
`ec_colossus_rs_item_id_list`	list[int64]	Recently shown e-commerce item ID sequence
`ec_colossus_rs_lagv1_list`	list[int64]	Hour-level lag of `ec_colossus_rs_item_id_list` relative to `ec_time_ms`
`ec_colossus_rs_lagv2_list`	list[int64]	Supplementary hour-level lag of `ec_colossus_rs_item_id_list` relative to `ec_time_ms`
`ec_colossus_rs_is_click_list`	list[int64]	Click flag for each recently shown item (0/1)
`ec_colossus_rs_is_cart_list`	list[int64]	Add-to-cart flag for each recently shown item (0/1)
`ec_colossus_rs_is_buy_list`	list[int64]	Purchase flag for each recently shown item (0/1)
`ec_good_click_item_id_list_extend`	list[int64]	Recently clicked e-commerce item ID sequence
`ec_trunc_clk_lag`	list[int64]	Hour-level lag of `ec_good_click_item_id_list_extend` relative to `ec_time_ms`
`ec_good_order_item_id_list_extend`	list[int64]	Recently purchased e-commerce item ID sequence
`ec_trunc_buy_lag`	list[int64]	Hour-level lag of `ec_good_order_item_id_list_extend` relative to `ec_time_ms`
`ec_time_ms`	int64	Snapshot time when e-commerce features were captured

Short Video Fields

Field	Type	Description
`video_sampled_pid_list`	list[int64]	Currently clicked short-video ID sequence
`video_neg_feedback_list`	list[float]	Negative-feedback flag for currently clicked videos (0/1)
`video_like_list`	list[float]	Like flag for currently clicked videos (0/1)
`video_comment_list`	list[float]	Comment flag for currently clicked videos (0/1)
`video_forward_list`	list[float]	Forward / share flag for currently clicked videos (0/1)
`video_collect_list`	list[float]	Collect flag for currently clicked videos (0/1)
`video_watch_time_list`	list[float]	Watch time for currently clicked videos
`video_play_done_list`	list[float]	Play-done (full-watch) flag for currently clicked videos (0/1)
`video_duration_list`	list[float]	Duration of currently clicked videos
`video_ts_list`	list[int64]	Absolute timestamp of currently clicked videos
`video_history_sampled_pid_list`	list[int64]	Historical shown short-video ID sequence
`video_history_neg_feedback_list`	list[float]	Negative-feedback flag for historical videos (0/1)
`video_history_like_list`	list[float]	Like flag for historical videos (0/1)
`video_history_comment_list`	list[float]	Comment flag for historical videos (0/1)
`video_history_forward_list`	list[float]	Forward / share flag for historical videos (0/1)
`video_history_collect_list`	list[float]	Collect flag for historical videos (0/1)
`video_history_watch_time_list`	list[float]	Watch time for historical videos
`video_history_play_done_list`	list[float]	Play-done flag for historical videos (0/1)
`video_history_duration_list`	list[float]	Duration of historical videos
`video_history_ts_list`	list[int64]	Absolute timestamp of historical videos
`video_history_seq_len`	int64	Length of the historical-video sequence

Live-streaming Fields

Field	Type	Description
`live_hist_timestamp_list`	list[string]	Date of watched live streams
`live_hist_author_id_list`	list[int64]	Host ID of watched live streams
`live_hist_live_id_list`	list[int64]	Live-room ID of watched live streams
`live_hist_show_cnt_list`	list[int64]	Impression count
`live_hist_play_cnt_list`	list[int64]	Play count
`live_hist_valid_play_cnt_list`	list[int64]	Valid-play count
`live_hist_play_duration_list`	list[int64]	Total play duration
`live_hist_valid_play_duration_list`	list[int64]	Valid-play duration
`live_hist_like_cnt_list`	list[int64]	Like count
`live_hist_comment_cnt_list`	list[int64]	Comment count
`live_hist_reduce_similar_cnt_list`	list[int64]	"Reduce similar" / "not interested" count
`live_hist_report_live_cnt_list`	list[int64]	Report count
`live_hist_author_category_type_list`	list[string]	Host category type
`live_hist_author_type_list`	list[string]	Host type
`live_hist_is_interactive_mp_live_list`	list[int64]	Interactive mini-program live flag (0/1)
`live_hist_is_building_live_list`	list[int64]	Real-estate live flag (0/1)
`live_hist_is_local_life_live_list`	list[int64]	Local-life live flag (0/1)
`live_hist_is_detect_game_live_list`	list[int64]	Gaming live flag (0/1)
`live_hist_is_recruit_live_list`	list[int64]	Recruitment live flag (0/1)
`live_hist_follow_author_cnt_list`	list[int64]	List of follow-author action counts

Ad / Outer-loop Fields

Field	Type	Description
`outer_loop_history_action_pid_list_pos`	list[int64]	Recently deep-converted outer-loop ad ID sequence
`outer_loop_history_action_pid_list_pos_ts`	list[int64]	Absolute timestamp aligned with `outer_loop_history_action_pid_list_pos`
`outer_loop_history_action_pid_list_click`	list[int64]	Recently clicked outer-loop ad ID sequence
`outer_loop_history_action_pid_list_click_ts`	list[int64]	Absolute timestamp aligned with `outer_loop_history_action_pid_list_click`
`outer_loop_history_action_pid_list_click_type`	list[string]	Click type aligned with `outer_loop_history_action_pid_list_click`
`outer_loop_history_action_pid_list_click_industry`	list[string]	Industry aligned with `outer_loop_history_action_pid_list_click`
`outer_loop_deep_target_pid`	list[int64]	Deep-conversion target ID sequence of recent outer-loop ads
`outer_loop_deep_target_pid_ts`	list[int64]	Absolute timestamp aligned with `outer_loop_deep_target_pid`